pestle/assets/jsonqb/Chemistry 2025 QB merged.json

[
  {
    "question_id": "19M.3.SL.TZ1.2",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Powdered zinc was reacted with 25.00 cm<sup>3</sup> of 1.000 mol dm<sup>−3</sup> copper(II) sulfate solution in an </span><span style=\"background-color: #ffffff;\">insulated beaker. Temperature was plotted against time.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"384\" 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9lCvoKAxUioKUyIFhTENxd69e3UajUYqt8VzsFW97DJNwK2fdJFvNpI+19zqttQN2XhWd19fnPe4+xc36oY0FMeIrasu8vCf8h47rVcBLD2W9bJ/7K4iIsV5snp1aVyPqfd79sxZnFCM6bl9+7a8B9Jtdm8Vk1Mz9BjcEYaFALKwdcJy7Lqple498BeOrF2FrRpx2xENRn2MQM9q0h6issQgh4hUwXRxQjGmx3SVZpF7yzQNRVpamryHClcJz3QejXAfZ8NdzXrMWn4Ydwz3JNr0eITPTTXcceyIQe81g5PhHlGZsnGQcw937tyTbxMRlY68rTz/bdcuVxqKM6dPy3sMOGW9EA518E7oeHSUmnM0ODl3Lv7v4l1pF7Tn8N2cxTgq3XFGx2mj8c4zlaR7RGWthEGODvf+SkfK1wuxOvWGXGbi5m5MbeGDQZ+twd4LGv3RRESlL2/C0Y5vvCHvgRTcmKahEC099DCHZ95CyDQ/udtqDxI2HMQlrRY3dy1HaGKWVOroMx4hneuwi4DsRglei/eRffxrDH/dB4EToxCz7wzkuF6mw90LGTimycD2Lyegr+9wzNt9EWzXIaKyZpprSwRApmkodqbskPcYMOGoUe5uq7s/r0PEV99gyYz1MAzF8UN46Ft4hhEO2ZFivhx1+Od0HMb2mYzkazXRduhnCO/shkflvQYVUKnRAHybth0xk3ugwV87MH/UDKw7lS3vJyKyD6ZpKNasXSuXGsRER+dKQ1GuFyjM1W31F7ZOnogvT4gQh91UZJ+KF+To/sCeFUuQdK0WOkxfhkVju+Ll2k76sCavCnjEqR7aBEzGF5/5ovq1HzFv1UH8yX4rIlII0cVlbOkRY3rq1Kkj7zF0dZW3NBQOz3ghcKCnfM+A3VRkr4r3msw+hf/bfBpw646Bfv9BlYejmzyqoF6nnuheC7i6eS+OZ+edfkhEZL+MLT0i4BH5t4zE1HTTNBQhE1WygFqBqsFz4MfwcTG22njig4Fe7KYiu1SsFY+16dHo1mEKMv1XYneEF6rK5QW7ipSQbgiMrY3QpGXo51FZLlc2rnisDqyXsthbvcRqzOfOnpFut2rdRvpX2L4tWQqE6tevj2dr18Hjjz8u7zFPOdfrD+yLDMPKX/6f/nYL9J89BK2qVzTsMkM59SoaNderXK94fP/USp1fXVdd04k7dDfkssL9odsxsZ3OrW5vXfSp23KZOnHFY9ZLUFK9BEsfV631Eqx9DmbOmKF7+aXm8irArg+t0pxXWddLsOzY87qIdxrL9Rqhi7/8j1xunnLqZWDpsayX/StWA6NDTVc0cQT+zriEa5b2PGn/wqWMG8CjtfB0tUfkQiIi9Ro7bhymz5qNnXt248tlS3Ot3yPG8RgXJ+TsLSLbKF4v6uPPobW3M+4fTMKuDGnyYCF0uH0sCWsP3kDFl17Ef55ikENE5YcYx+Pt7S3fM6hRowY8X3oJ69Z+I43pWbd2nbzHwDQtBREVT/GCnAo10bKrD2rc/z8smB2H49n35R3m6HDvzyNYt2A1fr1fB2/1bQdXDlAjonJOtOqIlp7tKSlSS887nd+R9xg0bdgoV0sPgx6ioitmuFERT7YfirlDm+HGllB0eXs4ouL34PjpP5B9zzCOWXfnL2Sd/gUp6+ZgeBd/hG/5Cw0HTMK4ji5mppoTEZVfoqXHdNaWILq3TFt6TBcwFF1bt27dku8RUX6K36ZSoQZeGbMIayZ3gcv5zfgiyB+dX30ZL7jXl2YcefznRbR91ReB475A8vln0WniEiz95DXUeoQhDhFRYUT3lrGl56fUw3KpgejaCh45PKelR6zKXLqeRavRC6UUGRln5sHXmUMQyD6VrOPokafhGfA5ftwdh/lTRqJnpxZ4Vp5FWLGOJ157NxDjZ63Exj0bETWwFZwZ4BARFZlpRnVBdG0NGTEyp6Xn6tWr8h4DDmQmMrDC6BgHVK71Inz6jUb4gnVIyRSR/Wmc3LUBS2ZNxMB3vdDU2ZFdVEREViK6tl70fCmnpadVq1byHkOuLdM0FEw4SuUZhwATEamIGNBsnLIuWnpu3bop7zEQrTxs6aHygkEOEZHKGKesi5YesZmKXbUqV0uPWK2ZSK2KldZBotMg67czuFPLA67VcucfL0+Y1kEdWC9lYb1KRozhOX/uLDIy0vGmT6ecdBOi/MD+fRanobAUr5eyiHqV67QOOt0d3bmEmbrwlat0USHLdIdv3ZfLSWBaB9ZLUFK9BEsfV631Esr6HJR1vfbu3ZsrDYVIS2GORqPRjRnzkW7ihAnSMRcuXJD3mFfW9RJscSzrZf+K2V31B1J/80BAv9748G0d9p2yZNVjIiKyZ2IAs2kaio5vvCHvMRBZ1sVA5n59+yJhw3p88/VqLF64CH169+ZihWSXihnkOKHWY5k4nP47jhz+C87/NqbcJyIipTOO6WnWrJlcYpi1de/ePUSvWIHUg4fkUoNzZ85iz5498j0i+1HMIKcaWgx4G5V2bcPpl3rDtzaDHCIipRKtMCKISU5OxvZtyVKLjdjEmEPj5tOhI9avXYerf/wh/1VuHwYOlI4z/m1CfLw0i4sDm6ksFXt2VQWnBvAJHIT3X6kFrnVJRKQcIqARQcismTPxmpeXlCdLBDEiUPkmdpV8FDAlIhyzoyKlbUNCPBKTtkpb67Zt5SMMnqxeXTpWbEJmRgaCg0ZLs7jat2mLr5Yvywl8Sn91ZirPOIWciEjlxKwp0UpjbJ0RAY0IQlIPH4bPW29JQYwIXkT6CDEzNGLqVGnr7e8PXz8/aRNdV2INHrEtXroEvt264/3evTB46BDEf7dJOlZs4u/WrF0rLQorHnPVmtV4/kXPnMBH/N/iOQwbOhRfx8YiLS2N43nIZhjkEBGpkOgmEkGEWAtnwthgqZVGBBofjR8vBR4ioBHBiFhHRwQxInjJmz4iPyJZaKe335ECGvH3eZOLGonHFIOZX/D0lP6voyeOSy1CxhafsJBQdPP1k1qSjEHP779nMughq2GQQ0SkEmIVY2NgI7qJRBBR/amnpDxXYsaUCDQ+HPKhFHhYGtBYkwiORIuQaPFZsHBhrqDnySeflJ7vZ+Gf5gp6REsPV2em4mKQQ0SkcGKAr+iKEqsYGwMbMQVctNaIYELkucqvtaUsmQY9olVIdHGFRUyTus+MQY9o6THNw8WUFFQUDHKIiBTo1q1b0kBeMXBYDPDdu2eP1CJiDGzEFPCyaK0pKRGMie4zY9AjxvWIoMfN3R2fz5iRKyXFD99/x6CHClT8tA4kEQPozGFaB2VhvZSlPNdLBDe7dqZIi/EJbdq1x8uvvIKGjRpL9+2RNa+XGGt07uwZnDp5Ent27ZRLgfruHni5ZUu41quHZ599FpUqPSbvsR1r1sueiHqV77QO/y9VFx02X7dmywHdqcu3dP/IxWTAtA6sl6CkegmWPq5a6yWU9TkoqF6nTp2S0igYUy6ItAqFpVMwKutzYMvrJc5L/MaNuc6N2IYOGaKLXbVKd+TIESkNhS3OQVm/DoWyrpe9K153VYVKePTPJHw+6D34tHwF3j3GYGZ0PHb+chZ/3tHKB5Wi7HSkRIegk6u8cFWjgYiKT0WWuaeS91jXxugUsgLfp2ahDJ45EVGBRMuFGG8jpl6LNApidpTokhKzm+xxnE1pEzO4zHVvmY7pEQOZF8yfyynr5VDxgpwqjdFrbjz2H9uNTV/PRP+XgMMrJmJAZy+0aNUFo8IXY/2OVGRcvQNb94Vps7Zh8rt+CJz8NU7KZdAk44ugPhgwZVvuQEd7Dglj++Y+FhqcjA1HUNdhmJf6l1xGRFS2xDgTMdBWzJIyDW7E7CgljrUpLeaCnoKmrHNxQnUrwcDjCnjEyQWN2nRCv/FzsHb7AezeuhYLx3XAE2c34bP+3fBm85fwqv8niIr5AXuPX0T2PSuHPPqg5bspIYg94Y6eUZtxRP+CFi/qU/tXY5R3VZyM+RQLdl01Hoybu5YjNDELjt5jsCQpTTo24/d9+GaMNxyRihVxR3BTPpqIqCyIVgYxoFgMrhUDbRnclIwIesTsrWEjRpldp8e4OCFXZFYn682uesQJzs+9jI49h+PTZd9h988p2BgzFQFN/x+2RY1C37fa4qXXeuGjWVtw5h/rBDvazO2ITryJBqNCMN6vAZzkcgfnVhg2fjCa4hwSko/Jgct1pCanQIM2CB4/EK95VJVK9Qej+cjpmOdfB5q4HUi9yU4rIiobFy9eQCcfH2llYLGaMIMb6yponR7TFZkH9e8nBT1ilWjm3lI2G00hd0DlJ+uiaXs/BIyfh+8OpiLlx68RNeBlVD5+DGdvWyPIuYPMPck4ihfR4+2mOQGOkYNHADaeOY1fIrwghTPaazh79Crg6Ia6NfMmFHWCi3ttQJOCbamcikhEpcs47mbb5s2oWbOm1MUiulsY3NiWadAjFkoUQaVYDVqkrBBBj1glWnQXimn6Is8Xgx7lsVGQk8cjVfFso9bw6TcaESuD0b6qNf7bbFzMOC8HLXeQnhKNUJ/G+Q88zr6MjHQN4FEPLk55//9KqOnqBkdcxbEz1zgAmYhKheiaEuNCxBepWOem1X//K33Zii4WKn0iqBSrQYtB3aZBj8jvlfjjjzlBj3FhQtHyxjV67FvpBDm2YGyZwTlsm9YPPgFTsOaEPogRpIHH3dBxWDwuMWIhIjskxn58EBAgjQsRXVPr4+Lg8VwDeS/ZA2PQI/JzbU9JkVJjiJWkPV96CevWfiO1vOVdjZkzt+yLcoMcI00K1nwD9Axfh92/GwYeZxzbjNn+z0OTOAMRm85JLTPaK2dwTI6B8qdBZsZlZMv3iIiszdh6I8Z+XLlyRRoTwq4pZRBT9sVK0sagp0uP9x5ajTlv3i0GPWVL+UEOHNF08kxM6dMCzsbaODWA77jR6OmYha0rtyNTH+U41HRFE0d5f74c9S/WWg+N7yEisgYxnuOj4GCp9Wbw0CH4ITFRGhNCyvT444+bXaNHMJ2uLsZb7du7hzO3yoCC0zpcRUpINwTG1kZo0jL086gsl8u0JxHTpSvC07tj2f4weGEXQlv2xxqPMCRuDIBHrvBOi5spU9A2YD3cJsdhQ0ADs9FffikczOk7IFC+RUQEnDl9Gru2b4Pjv/4ljb1xcXlW3kOmRJoEkVbAEvZwbH7u3buH69eu4eoff+DSpYu4dP68vAeo5+6O2nXq4qkaNaRAKS97qFf5TutgF27rTq3srXOr21sXfeq2XGbi/m+66M6NdG4NJ+l23Lj/4H7nlbpT+ru53dfd2DFJ17RuO13Ijj/ksuITS4pbSklLfQuWLvfNeimrXoKlj6vWegm2OAeJm7fqZs6YkZNq4Nq1a/Keh5V1vQRbnAMl1Uuw9Nii1Cs+4Xvd3r17dYsWLtK936NHTvqJV9u3l14fSUlJOWk6lFQve6fg7irjjKifse77ow+Po5FnUzl2fRWeYjaXw1Oo27QGkJaMvZl35IOMjGvo1Ia7CzuriMg6RPfUnFmzsHjhImktFrE2C8felE+ixUYMYhbrHhU2c4vZ1a3HykGOFncu/4zEmPkIHzsEg4YsR6pGB93FXYiNT8Vlq+a1ckDV5m/jg4bAybkRmBF/8kGgk30SCTMjsUZTB77eTQzr5KA6PL299EHRHsyesRTb0+W1jbVZSF0VhVmx54Bm3mjtlqfbi4ioGMSXlPjSuvHXn9LgYrEWC5FRQTO3du9MkQYxm87c4iDm4rFikPM3Lu+YiXfbdsWIsDmI+XYztu88h5v3tLh94QAWBfWA76jVOJ59Xz7eCpxeQmDUJ3jN8ResCXoTLxiTbjZ5E8GxGWjQbxKGtashH6wPitr1QnAzR2iS52BQh2aGY+u3Qo9QkcvKE8PD/PKM1SEiKjrxpSS+pN54ywcTJk3m4GIqlOnMremzZucMYjbO3Mqbc4tBj2Ws9JV+H7cOL8GHgctwxTsEq/dsQIg+mDCoAMeX+mF+SEdgywx8EvMLrHdZHODUwB9fbt+A2aNE/ilZw94IjY7H2imvP5hxJTg0QJ/FqxA1uTdMV6Nw9B6J2XELMNKzmlxCRFR04ktHzKQx5pz6fPZsswNLiQqTX3Z1wXTmljG7OmdumWedIEd3BbtjVuNX/BfDgnvi5Vr/0oc2Jh55Gp69B6CX29/4NTYZRzXWndDl4OwJ39FL8YtYI0dsiRHo5+Vhdiq4OPbtgAj8YDxWv/2ybDR8PZ2t2axFROWMGD8hpoeLjOHiy0iMvRBpA4iswRj05M25JTDRaP6s871++zyOHvwDqN8Cnq75vKmr1MULrWoBl9Nw4uLfciERkfKJAcbdu3bFlh8TDbmP9F9GRLZimnMrb3Z100SjpkFPec25ZZ0g595t3LpxH3B0ROVHcrXhEBGpmvjy6NO7t3RbDB4Vg0mJSlN+iUZFl6kx6BGD4D8ZG1zuEo1aJ8hxehYNn38CuHQOF0WwY87tsziy7zLw74Zwd86bBZyISHnEDCpjgLPq66+lwaNEZc04cyvvdPW27b2Qevhwucqubp0gx+EZtHjzRVT8Iwlrk0/jH7k4x72rSF0RiUWZWtR4szUaPZQFnIhIWaQAp2cvNGzUiAEO2TVj0JM3u3qP997PtUaPMegRq3OrhfXSOtw5gdWjBmFScmV4D+0Ap++WIf5iKwyc0BzZ2zZg3e6zQOPBWLxsNLxqPSb/kfLll+phycoY+Za6iCXBxdLgasN6KUtZ1+vE8V8ROWsmmnl6YuDgD1GpknU+03i9lEUt9bp69SrOnzuLjIx0pB48iKrVqiEpOUneq3DSusdWor2Vodv6RZDu7RfccpasNmwtdN0nrtIduHxHPlLdRJ0tVdbLdwtFOdbS5b5ZL2XVS7D0cdVaL8GSY8XS/OI9LlI0aDQauTR/SqmXkaXHqrVegqXHsl72z0r9Rjrcv3cfcHJDh2GR2LTvIHYmbcK6uA1Yt2krdh7ZhXUR/njZWT0tOERU/ogF2EQXlWjBEWvgcIo4kX2zTpCjO4ONga+j88iVSP3zPipUfhIuHk3hqf8g8HzeAy7VKudeN4eISGHEwMzRo0ahxSsvS11UDHCI7J91gpxbZ5H201mcOFsBjz9RUS4kIlIH02nin8+ZY7UxOERkW9YJch53R+sOdYALJ5Bx5aG5VUREiiVSNXw0Zox0m7OoiJTFOkFOhZpoOWAk+jU8gDEfjMOC1d8j5cBhpKammtkycPWeddM6EBHZghTgBAfj4IGfEDl3LgMcIoWxTpCj/R2bQichZvdZ/HMiHpETRiDwve7o0bXbw5v/Khyzcu4qIiJbiImOyUnVwEziRMpjpZacp/HyiM+kpHSFbp91gnsVDkMmIvsmVoE1ZhNnqgYiZbJSkPMkGnq/IyWlK3Tr/DKefZRBDhHZL5HBWawC+8ZbPtLS+ESkTNYJcoiIVOL69esYPHAg6rjWldbCISLlslJah3vIvnoN2ZYMKK5QGdWerobKKmnMYVoHdWC9lMWW9Vowfy7SUlMxbdZs1KhRQy4tHbxeyqLmek0KnSjfUzhp3eOSuv+bLrpzI5M0DgVsDSfpdty4L/+hOol6WkpJS30Lli73zXopq16CpY+r1noJY8Z8JL1/k5KS5BLzlFYvWxyr1noJlh7Letk/K43JqQr3zoMwfNTIh7eRH8Dv5TqoiKfQ8J3+GDa4OWpyTA4R2RmRVTxhw3ppoLG3t7dcSkRKZqUgpxbaDBiFoNGjH97GhOLztYlIntcB1zPuot5br6IhZ1cRkR0RKxpP/OQTKSdVv4B+cikRKV3pDDyu4IjaPn0xqOr3GB+yAen/cJ0cIrIPYsG/aVOnSrff69mbOamIVKT0Zlc9+m/U9XgC9w/tR1oWUz8QkX0wLvg3dfr0Uh9oTES2VXpBzj9/4Gz6DfkOEVHZS0tL44J/RCpmnSBHl40LR382k6dK3vZ8j6UTxmPagRuo2Lwlmjk/Kv8hEVHZEOvhjB41Ci1eeZnjcIhUykpBzkVsC/E3n6tKbL1HYMa3R3H/qbcwMcwP7pxdRURlbM7s2Th35iw+nzOH43CIVMo6QU6huavmYdHXPyBl51z0bfQEGOIQUVlKiI/HN1+vlj6fmFmcSL2ss+Kx7k+c2LYbpzQ18ZJPi3xyU93BhQObsS21Il4OeFs108i54rE6sF7KUpJ6Xb16FRPGBqNNu/bo1/8DudQ+8Hopi5rrxRWPTRlXPC5wNeM/dDsmttO51e2tiz51Wy5TJ654zHoJSqqXYOnjKrleGo1G936PHrpX27fXXbt2TS59oKzPgS2ul2CLY9VaL8HSY1kv+1fM7qp7uPpLstTkK22bUvDrjX+Af87gp82bHpSbbuu+wurEi0DFx/GvyqU3qYuIyChuwwYcPPATIufORfXq1eVSIlKrYkYbj+Cp2hVxeOpHCA4ard8+Q9wZEeTswpJx4r6Zbdx8bL9WBQ37v4/2z1aSH4eIqHSkp6cjLCQUg4cOQbNmzeRSIlKzYjepVHiyHcZt3IR1cRuwbsMc9HN7FHj0DYxftd5Q9tAWh41JSVjzcTv8myOPiagUiVWNJ4WEoI5rXQwfMUIuJSK1K0G/UUU4PdsInp6e+q0lXus1DMOHd0Lb5uK+ue1FNPVwhtMjjHCIqHSZdlNxujhR+WGdwTHGBJ2j3mHyTSKyKyL5JrupiMon644A1t3B1Yyj5lc9Tj2IPUkbEDMvDkc1TNBJRLYnuqlWRa9kNxVROWW1IEeXfRRffdgBLb07m1/1uGsP9Bv4EcK/TMO1ewxyiMj2RDfV7xnp7KYiKqesFOTcxNGYaZi65QIqunqj74heaP1URaBiI3T6cCj6vfM8qumPqujWB5/HB6FtVes2IBER5WWcTdXBx4fdVETllHWijbunsTv+MO5X9MKEJXMxKXgshvd4DrhfGQ3eGoLQeTFYMa4NkLkPqZf+gT78ISKyGdPZVL5+XeRSIipvrJPW4WYKQlv2xxqXsdj4wxA0rXQff/z4CdoN3Y03Fm5A5FvPoILmAGa+3hvLG0xH8sp3UVsl45OZ1kEdWC9lKaxe27cl45vYVfg4dBLq13eTS+1feb1eSqXmejGtg6kbO3QhDV11bp1X6k5JWR20uv+3f6audd1GOr+Vv+kMiR7ktA7uH+l+/N8/UolaMa0D6yUoqV6CpY9r7/W6cOGC9B6cOWOGdN8Wz6Es6pWXrZ6DLc6BkuolWHos62X/rNNd5VQL7h6OwP/+wJ93RMNQBVR5xhXPVdQgM+Mysg1HGfxzGf/76558h4jIuqZNnSp1Uw0IDJRLiKi8sk6Q41ATDVvXBS5vxoaU8xAhTIWn6qDh0xWh2ZeGjNv6wOf2WRzZdxl4tBaervaI4e+IiKwoOTkZW35MxISQEOamIiJrza56Ap69BuHtp85iw1A/DPz2NHSODfGmfwtUzFyG0HHh+HTEx1iUqUX1t7zwQg0GOURkXdevX8e0iAi88ZYPvL295VIiKs+sFORUwCO130HE+uUI7d8ODZ9+XF9SFc8P/hzLg1rgj+9W4qvkS3B55xPM/8QbtbgoMhFZ2fJly3DuzFlMmKiSAZNEVGJWCnJ0uH8P+Fe99ugXFoVx7WsYih9xQdugZdh15AB2HzqArfMH4BXnxwz7iIisJC0tDYsXLsKUiHC4uLjIpURU3lknyNGdwcbA19F55Eqk/nlfLjRyQOVqT8O5hhPYSUVE1ibWxPls2jS0eOVldO3WTS4lIrJWkHPrLNJ+OosTZyvg8Se41B8RlZ6tW7ZIGcY/njCBqRuIKBfrBDmPu6N1hzrAhRPIuPKPXEhEZFsiw3hw0Gi837sXUzcQ0UOsE+RUqImWA0aiX8MDGPPBOCxY/T1SDhw2k4lcbBm4ygSdRGQFixYulNbEGRMcLJcQET1gnbQO2pOI6dIV4WkauaAAjn2xbH8YvBSYpDO/FA7m9B3AhciIbOnixQvYtnkzWv33v/B4roFcSkon0iSItAKWsIdjLaW0ejGtgyntdd3xpE26+I0bC98SDujO39XKf6hOTOvAeglKqpdg6ePaQ71CJ03Wvdq+ve79Hj3kkvzZ4jnYql5KShOg1noJlh7Letk/K3VXPYmG3u/A18+v8K3zy3j2US6UQ0TFd+q336Q1cT6NiJBLiIgeprw+IyIq18TKxocO7JcGG3t4eMilREQPs3KQo8Wdyz8jMWY+wscOwaAhy5Gq0UF3cRdi41Nx+Y5WPo6IqHjmzJ4t/cvBxkRUGCsGOX/j8o6ZeLdtV4wIm4OYbzdj+85zuHlPi9sXDmBRUA/4jlqN49l5FwskIrKMWNn4m69XS4ONmYCTiApjpSDnPm4dXoIPA5fhincIVu/ZgJBmjvK+CnB8qR/mh3QEtszAJzG/4La8h4jIUqYrG9er7yaXEhHlzzpBju4Kdsesxq/4L4YF98TLtf6lD21MPPI0PHsPQC+3v/FrbDKOarhODhEVjenKxo88wiQxRFQ46wQ5t8/j6ME/gPot4Omaz7LqVerihVa1gMtpOHHxb7mQiKhwYrDx3KgormxMREVinSDn3m3cunEfcHRE5Uc4PZyIrGv5smXSlPEhQ4fKJUREhbNOkOP0LBo+/wRw6RwuimDHnNtncWTfZeDfDeHuXEkuJCIqWHp6OhYvXIQpEeFwcXGRS4mICmedtA7QID16GN6enIHXZq3EvG73sVqkeUjvbkjh4HgdqYuD0HPWfjzZZykSP30VT6qkwSe/VA9LVsbIt9RFLAkulgZXG9bLfi2YPxcXzp3DlKnTUKnSY1IZr5eysF7KIurFtA553T6u+3pQW51bfW/d4M9n6ILbe+jc3PvqPlsxTxfSu73uubquuufemq7bcemO/AfqxbQOrJegpHoJlj5uadZr79690vspKSlJLjEo6+X0bXUOyrpegi3OgZLqJVh6LOtl/6w0hVyvckP0nB2NRWOa4GLsEsSf+Qf4ZxeWTpmDNbs1eN4/HKuWj4ZXLcMvMSKigogp4xM/+USaMu7t7S2XEhFZznpBjl4FJzd0GBaJTfsOYmfSJqyL24B1m7Zi55FdWBfhj5edGeAQkWXiNmxgfioiKhGrBjnAPWSfT8XmtbFYsWQhvly4CEtWrUV8QgqOXNaAq+MQkSXElPGwkFDmpyKiErFekKO7geOrx6OzV7cHaR2Sk5H87XJEhg3Bu227YPTqY8hmpENEhWB+KiKyBisFOf/gcuI0BEyIw8Xn3senX2/G7mPpyDhzGum/HUbyhkgMbpuN7ycMQ0jCadyT/4qIKC8xZVzkpxJTxpmfiohKwjpBjvYsdny1BdcrtsNHsyeiV5sGcHYyLLteoXJ1uL7kh48+m4B3nrqI7xck4sRdNucQkXmTQkJQx7UuunbrJpcQERWPdYKc7As48csNoMmr8PqPk1yYWwXnF9Gxzb+B34/i5JV/5FIiogeSk5Ol/FQT9IFOlSr5pIghIrKQdYKcyk+ilsujgEaDO/fYSkNERXf37t+YFhHBKeNEZDXWCXIqPQefQW+hevoGxCafNzPmRod7F37Clj3XUP3tt9HmWaZ1IKLcDh86xCnjRGRVVkrrcA/Zl3/GpshpmLPhPl77eBD82jRGvepVgNvXcT5jP9bPiUTC7Y4Imz0Sr7mYrpfzKJxqVIeTQhN7Mq2DOrBeZevWrVsIHjkcbdq1R7/+H8il+eP1UhbWS1lEvZjWwdT933TRnRtJy68Xfeutiz51W34gdRD1spSSlvoWLF3um/VSVr0ESx/XFs915owZ0vvm2rVrcknByno5fVs8plDW9RJscQ6UVC/B0mNZL/tnne6qClXh3nkQho8aWYztDbg/XlF+ICIqb4xZxt/378Mp40RkVVYKcmqhzYBRCBo9uhhbH7RxflR+ICIqb6IiI6Up423/q75mfyIqW9YJcoiIimHfvn3Y8mOiNGW8UiXmtiMi67JykKPFnb/+h6ysrPy3K3/hDmeZE5V7zDJORLZmtSBHl30cG0J7ou0Lr6Bty1b5b69GYv8trfxXRFRebd2yhVPGicimrBPk6P6HnTNGYfyqn3DL1Rt9R5obYCxvg5uj5qPKnC5ORNYhsowHB41mlnEisinrBDm3T+On5NPAo+9g6lfzMWmMuQHG8jbqHTSswiCHqDxbvmyZ9O+QoUOlf4mIbME6Qc6927h14z7QyBPNnq0sFxIRPcw4Zfyj8ePh4uIilxIRWZ91gpzHG6Dd23WB//2BPzmqmIgKYJwy3i+gn1xCRGQbVkrroMO98z9gYp9I3Aj4HNP9X8CTCk3TUFRM66AOrFfpOHH8V0TOmon+AwehVes2cmnR8XopC+ulLKJeTOvwkH90/9servOu76Z76c1+urFTZuki58x5eIvapDuu0cp/o05M68B6CUqql2Dp4xb3uWo0Gt2r7dvr3u/RQy7JrazrJdj6HBSmrOsl2OIcKKlegqXHsl72z0pTyO/jzwOLMHxMNE7fv4+/TuxE3IoF+GLuvIe3xYdw5R92aRGVN5wyTkSlzTpBzj+nsGnOchz+81m8PTkWibv3Yvf+fea3HaPR8nErxVZEpAicMk5EZcE60cbtK8g4egPw6IEBvVrD49lacHZ2Nr/VrIbKnEFOVK4Yp4yPCQ6W/iUiKg3WCXKq1IR70ycAR0dULicDjonIMsYp41MiwpllnIhKlXWCnEc98FbgO6hxbAuSjt2UC4mIgEkhIdKU8a7dusklRESlw2qDY6o08cNH/R7D+tGhWPjDbqSeOI3LTNBJVK79nHoYBw/8JGUZr1KlilxKRFQ6rBPkaDOx4cO++HjFTpzL3IQ5w/qgh89r+C8TdBKVWyLL+Lo1q/HGWz7MMk5EZcI6QU6FqnDvPMh8Qs68GxN0EpULMdExuHb1qpSzjoioLFhpxePyiyseqwPrZV1X9cHNhLHB6ODjg3d7vC+XWg+vl7KwXsoi6sUVjylfXPGY9RKUVC/B0se15LiJEyZIqxvHJ3wvlxSurOslWPMcGCmpXoItzoGS6iVYeizrZf+sNvDYQIs7l39GYsx8hI8dgkFDliNVo4Pu4i7Exqfi8p1SGIujPYeEIa3g3igMKTfN/H/Z6UiJDkEn13pSK4y7a2N0ClmB71Oz9M+eiEpq3759+Obr1RgVFITHH39cLiUiKn1WDHL+xuUdM/Fu264YETYHMd9uxvad53Dznha3LxzAoqAe8B21Gsez78vH28JNnPxqOkITs+T7eYgAaGxfBE7+GiflIkCDk7HhCOo6DPNS/5LLiKg4xGDjiZ98ghavvAxfPz+5lIiobFgpyLmPW4eX4MPAZbjiHYLVezYgpJmjvK8CHF/qh/khHYEtM/BJzC+4Le+xLi2yU2MwZvJmfdhijhY3dy2XAiBH7zFYkpSGjDOnkfG7/lfnGG84IhUr4o7owyQiKq64DRuYn4qI7IZ1ghzdFeyOWY1f8V8MC+6Jl2v9Sx/amHjkaXj2HoBebn/j19hkHNVYf6yz9tImjPP/Ehg2AcNzAixT15GanKIPgNogePxAvOZR1VDs4IzmI6djnn8daOJ2INVcFxcRFerixYsICwnF4KFDmJ+KiOyCdYKc2+dx9OAfQP0W8HTNZ8GvKnXxQqtawOU0nLj4t1xoJdkHMW/AROxuPxVLR7fDk3JxLtprOHv0KuDohro1K8mFRk5wca8NaFKwLfW6XEZERbFo4UJpZeMBgYFyCRFR2bJOkHPvNm7duF82uau0l5AyKwJfoBfmhb2FZ/KrUfZlZKRrAI96cHHKe1Al1HR1gyOu4tiZaxyATFREpoONmZ+KiOyFdYIcp2fR8PkngEvncFEEO+bcPosj+y4D/24Id+e8LSnFdReXNs3CyJhHMHzqMHhZ7XGJyFIcbExE9so6QY7DM2jx5ouo+EcS1iafxj9ycY57V5G6IhKLMrWo8WZrNHqoJaU4xEDjxRgYtB9toyIx0rOaXG6e9soZHDM/ItmEBpkZl5Et3yOiwomVjTnYmIjsUfGijX8u4KdN8UhIPoEb0hhiR3i8Pw5hbwBJHw/BiMgEHL2hD3X+OYMDGxYgNKA7es7aAzQOxGdDW+NJK/RoabN24POJX+K8z3iEdK5TaEUcarqiibnxyLk4ws29Fpzke0RUsPT0dHw+YwY+Gj+eg42JyO4UL63DzRSEtuyPNR5hSNwYAA85wtBlZyI55gvMW/YdTvxp2m31b7zoPxJjh7+Ll50fk8tK4g7SowPhM1kfOBWmmfwcs80/ZwOtvkpT0DZgPdwmx2FDQAOzQVN+KRzM6TuAgy9J/ZK3bsFf16/Dr/u7eOSRR+RSouITaRJEWgFL2MOxllJavcp3WocbO3QhDV11bp1X6k7dl8tMaG9f11049Yvu8OHDusNpp3QX/ryt08r7rOO27tTK3lL6hEI343O8/5suunOjfJ7zfX2VJuma1m2nC9nxh1xWfOL/tZSSlvoWLF3um/VSVr0ESx/XeFz8xo3Saz0pKUm6b46S6iUU9RxYQkn1EmxxDpRUL8HSY1kv+1e87qpCVKj8JFw8msLT0xOez3vApVrl3OvmlFhleATEGhbzy7v9vhmhYp0cx75Y9ksmMhLkVhuHp1C3aQ0gLRl7M+8YHiaHcQ2d2nB3YWcVUWGuX7+O4KDReL93L3h7e8ulRET2xSZBjn2qDk9vLzhiD2bPWIrt6fLaxtospK6KwqzYc0Azb7R2q2woJ6J8zZk9W/p3yNCh0r9ERPaoZEHOjV+RIgYgxxdh2/QTLvxj/RWPC+eAqu16IbiZIzTJczCoQzNDgs76rdAjVOSy8sTwML88Y3WIKK+fUw9La+LMjoqEi4uLXEpEZH9K9pV+Zj1mBI2Wmq0t3j7+ARm3yyLI0XNogD6LVyFqcm80kIsER++RmB23oNBp6ETlnVgTZ92a1XjjLR+uiUNEdq9kQY5rd4zX/5oTv+gs3j7rBPcqNlwVWR/I9Ev4FRnHp8Cr6sPVc3D2xNsBEfjBZBzPL8tGw9fTuTz13REVyxfz5+Pa1asIGj1aLiEisl8l+15/ojG8OvtJv+gs3jq/jGcfLeXUD0RUYmlpaVi8cBHe9+/DNXGISBHYeEFEhRLdVKNHjZJSN7T973/lUiIi+8Ygh4gKJbqpjKkbKlWyxoKeRES2xyCHiApk7KaaEhHObioiUpTipXUQuasSD+GyYwN4vd4QT5TjITb5pXpYsjJGvqUuYklwsTS42rBe5t29+zfCJk7AE9WexJixY+2mFYfXS1lYL2UR9SrfaR2oQEzrwHoJSqqXYO5xZ86YIb2eT506JZeoo175sfRYtdZLsMU5UFK9BEuPZb3sH7uriMgsdlMRkdIxyCGih4jcVMbZVF27dZNLiYiUhUEOET1E5KYSs6k+nzMHVapUkUuJiJSFQQ4R5ZKcnMzcVESkCgxyiCjHxYsX8WHgQOamIiJVYJBDRBIxXXza1Kmo41oX4RERcikRkXIxyCEiye7/+z9s+TERU6dPR/Xq1eVSIiLlYpBDRNJ08W9iV2Hw0CFo1aqVXEpEpGwMcojKOeN08fruHhg+YoRcSkSkfMVL60A5mNZBHcpzvRbMn4u01FRMmzUbNWrUkEvtW3m+XkrEeimLqBfTOlC+mNaB9RKUUK/YVauk12tSUpLFj6uEepmyxXNQa70EW5wDJdVLsPRY1sv+sbuKqJwS43DCQkKlcTje3t5yKRGRejDIISqHTNM2cBwOEakVgxyicig0JIRpG4hI9RjkEJUzCfHx0no4Xy5byrQNRKRqDHKIypH09HQEB43mOBwiKhcY5BCVE7dv38bggQM5DoeIyg0GOUTlxNSICGkczqf6fzkOh4jKAwY5ROWAGIfzzderMTsqEh4eHnIpEZG6McghUjnjOJz3e/eCr5+fXEpEpH5M61BCTOugDmqtV0rKDmz54Xvp9pSp01Cp0mPSbaXj61BZWC9lEfViWgfKF9M6sF6CPRzr/bq39Ho8deqUXJI/Sx/XHupV1svpq7Vegi3OgZLqJVh6LOtl/9hdRaRSYhzO6YwMjsMhonKLQQ6RCom8VGIczn8aN+Y4HCIqtxjkEKmMaV4qz+Yt5FIiovKHQQ6RypjmpXrkkUfkUiKi8odBDpGKfLnoS+alIiKSMcghUol9+/bh8xkz8NH48cxLRUSkxyCHSAUuXryIiZ98gjfe8kG/gH5yKRFR+cYgh0jhROLNj8aMkW5PmDiReamIiGRc8biEuOKxOii5XjErV2DPrp34OHQS6td3k0sNeL2UhfVSFjXXiyseU7644jHrJZTGsbGrVkmvt/iNG+WS3GyxIqs9nIOyXmlWrfUSbHEOlFQvwdJjWS/7x+4qIoUSA43DQkIxeOgQLvhHRGQGgxwiBTIdaDx8xAi5lIiITDHIIVKYu3f/Rp/evaXbHGhMRJQ/BjlECiJmUi1d/KW0ovHipVzwj4ioIAxyiBQkJjoGaampWLVmNTOLExEVgkEOkUJ8HRsrrWjs2607WrVqJZcSEVF+GOQQKYDpTKpOb78jlxIRUUEY5BDZubS0NPTp2YszqYiIiohBDpEdE1PFR48ahTqudfH57NmcSUVEVARM61AE+aVwMKfvgED5FlHx3Lp1C1t++F66/Uant/H4449Lt4nUTKRJEGkFLGEPx1pKafViWgfKF9M6sF5CSY7VaDS6oUOG6F5t31534cIFudTAFvUSLH3c0joHBSnr5fTVWi/BFudASfUSLD2W9bJ/7K4isjNSVvHgYGz5MRFTp0/nWjhERMXEIIfIjpgGOGItHE4VJyIqPgY5RHaCAQ4RkXUxyCGyE1/Mny8FOLOjIhngEBFZAYMcIjvww/ffYfHCRfho/Hj4+vnJpUREVBIMcojK2JeLvkTChvVSgPPhkA/lUiIiKikGOURlRIzBGTZ0aE4+KgY4RETWxSCHqAyYDjIWLTjMR0VEZH0McohKWd5ZVGzBISKyDaZ1KKH8Uj0sWRkj31IXsSS4WBpcbUqrXiJVw1fRK5CWmorRY8ehYaPG8h7b4PVSFtZLWdRcL6Z1oHwxrQPrJeQ9VqRnEGkaxOtj7969cqlBWddLsPRxbfVcy7peQlmfg7Kul2CLc6CkegmWHst62T92VxGVgrS0NPTp3Vu6vXPPbq6DQ0RUChjkENlYcnIyuvn6oWbNmlj19dfMRUVEVEoY5BDZyN27f0tr4HwYOBBvvOWDFdHRDHCIiEoRgxwiG7h+/TqWLv5SWgNHTBFfsHAhqlSpIu8lIqLSwCCHyMrE+JvuXbtKM6g4RZyIqOwwyCGyErH+zdexsTnjb6bNms0BxkREZYhBDpEVXLx4UVrgLywkFIOHDpHG39SoUUPeS0REZYFBDlEJJcTHo32btjhx/LjUPTV23DiOvyEisgMMcoiKKT09HT3few/BQaPxfu9eWB8Xx+4pIiI7wrQOJcS0DupQlHqJ1AybE39AUmIinqpRA337f2Dz9AzFxeulLKyXsqi5XkzrQPliWgd11kuj0egiIqZJ11dssatWSWX5UUq9jCx9XLXWSyjrc1DW9RJscQ6UVC/B0mNZL/vH7iqiQohZU2LcTScfH6xcukTqmvop9TB6+/tz7A0RkR1jkEOUD7Ggn1ixuGnDRtK4m9Zt2iAsYhoipk5F9erV5aOIiMheMcghMiFabfbt24dhQ4fiZc+XclYsTkzaKgU3TMtARKQcDHJsTLQGiFk4+W1ifRVz5eY2ezj2z0LqY9yUUi9xfcRx586dxayZM6VWmz49e+H6tWuYHRUpdUuJFYs9PDzkK0pERErB2VU2kN+MK7JfVatVQ7VqT6DHe++jVetWaNasmbwnt+07duG1V9vJ9wpmD8d+Gj7V4lkSlj6uWusllPU5KOt6CbY4B0qql2DpsayX/WOQYwMiyBGtAEaNGuc/vXj/gUNo+Upz+V7B7OHYhQu/xNChhediUkq9zp49i3/9619Ys2Yt5s2Lkkvzp6QPKsEWH8JqrZdQ1udASV+aaq2XYOmxrJcCiCCHrItTyFkvQUn1Eix9XLXWSyjrc1DW9RJscQ6UVC/B0mNZL/vHMTlERESkSgxyiIiISJU4JqeEmNZBHVgvZWG9lIX1UhZRL47JoXxxTA7rJSipXoKlj6vWegllfQ7Kul6CLc6BkuolWHos62X/2F1FREREqsQgh4iIiFSJQQ4RERGpEoMcIiIiUiUGOURERKRKDHKIiIhIlRjkEBERkSoxyCEiIiJVYpBDREREqsS0DiXEtA7qwHopC+ulLKyXsoh6Ma0D5YtpHVgvQUn1Eix9XLXWSyjrc1DW9RJscQ6UVC/B0mNZL/un/O4qbRZSv1uBUJ/GUquKtDUaiKj4VGRp5WNMZacjJToEnYzHujZGp5AV+D41C+YOJyIiImVSdpCjvYSUKYPRY0Q41pzQyIV6mmR8EdQNHYfF45Jp5KI9h4SxfRE4+WuclIv0B+NkbDiCug7DvNS/5DIiIiJSOgUHOVrc3LUYI2N+gaP3GCxJSkPGmdP6LRNHkiLRs6EjNIkzELHpnNxCI45fjtDErNzH/74P34zxhiNSsSLuCG5KxxIREZHSKTjIuY7U5BRo0AbB4wfiNY+qcrkDnDz8MGXeWDRFFnYf+h3ZUnk+xzs4o/nI6ZjnXweauB1IvclOKyIiIjVQcJBTA14RO5FxJhb9PCrLZQ841HRFE0dAc/QMroi4RXsNZ49eBRzdULdmJcNBOZzg4l5bf3AKtqVel8uIiIiopF7z8kJCfDxu374tl5Qe5Q88zof2yhkc0ziiaZdWcBO1zL6MjHQN4FEPLk55q10JNV3d4IirOHbmGgcgExERWUnk3LmYGxWFDwICkJ6eLpeWDnUGOdpz+G7OYhx17IiAjvXUG8kRERHZuWbNmuGHxES093oVPh064stFX5Zaq44Kv/9v4uRX0xGaCHScNhrvPGPomjK07Eg3C6BBZsZleQwPERERWUOVKlXw4ZAPkZi0FTtTdqCTjw/S0tLkvbajshWP9QFO9Hi8O/kIWk5ehjkBjeEk78HNFIS27I81HmFI3BgAj1zhnVa/ewraBqyH2+Q4bAhoYDb6y291YyIiIiq6wUOHYOy4cfI9G5CWBFSD+xd1OyZ11rnVbakbuPKY7pZcnOPGDl1IQ1edW+eVulP35bIc9/W7J+ma1m2k81v5m/5eyRRlxWO1Hst6qfdYtdZLsPRYtdZLsPRYtdZLsPRY1qt4NBqNbtHCRdL/E7tqlVxqGyrortIiOz0eoZ06IDAG6BkVnbsFx8ipFtw9HOU7+amBJq5PcQwPERGRDYguKtFVJbqsRNdVb39/eY9tKPz7/C6yUqbjvQ6jsQbdMTtpFcL9Gjwc4AgOT6Fu0xr6M5yMvZl35EIj4xo6teHuYvaviYiIqJiuX7+OkIkT0c3XD6OCgrAiOhoeHh7yXttRdJCjvfQjPh26DCcbBmLZyonwzVkQ0Jzq8PT2giP2YPaMpdieLq9tLHJfrYrCrNhzQDNvtHZ7eM0dIiIiKp59+/ahe9eu+PPPP7Fzz274+vlJA5FLg4KDnKvYtTASW8WMqRPLENiywYMEnaZbozCkSKsYO6Bqu14IbuYITfIcDOrQzLC/fiv0CBW5rDwxPMwvz4BkIiIiKokfvv9ear1ZsHAhXFxc5NLSodyv9JvHsC3unHzHQg4N0GfxKkRN7o0GcpHg6D0Ss+MWYKRnNbmEiIiIrCFi6lSp9aYsqGwKuX0QLUQi+acaqbVurJeysF7Kwnopi5rqxc4ZIiIiUiUGOURERKRKDHKIiIhIlRjkEBERkSpV4MBjIiIiUiO25BAREZEqMcghIiIiVWKQQ0RERKrEIIeIiIhUiUEOERERqRKDHCIiIlIlBjlERESkSgxyrCU7HSnRIejkWk9Kbubu2hidQlbg+9QsaOVDqBRlH0SUjye6RJ/M5/zfRHpKNEJ9GsvXS7/5hCDmu1RkmfsDXl+r02al4vtc57Qeng+MRILZc6rVX4IUxIT45hzr7uqL0OgfkZp1Vz7GVBGvL1ngLrJS4xEV2Eo+p+I9EI2U9Jvy/jyK9J4p6vWlItOeQ8IQ/bVrFIaUm2beBCq9XlwM0BrEi2fYewhOzJILTHlieNxyBHlWk++TzWkvIWXKEATGZKDp5DhsCGiQJ5q/i0vx4/FmUDw0cskDjmgwKhprR7eAk1zC62t92qxt+LT/SMSeePgKAM7oGLUWX/jVyblu2kvxGO49GlvNHd5wDNZ9OwyeTsaji3h9yQI3cTJ6PN6dvNnMOX0e/tGLMMnrmQfvsyK+Z4p2fanoTK6fY18s2x8Gr6om51PN10sEOVQS93U3dkzSNa3rqms6YJ5u26kbcvFl3cG5gYbyiTt0cinZ2P3Le3XzBrTUuenPu1vdRjq/lb/pr1AeN3boQhrq9zcM1EUmn9Ldkgr/1l3+aZFuoFQ+SbfjhvGveH2t7w/djont9NenpW7gnK26U7eM5/qG7tTGSbq3xLVrGKSLv/i3XG7++AfXup0uZMcfUpmkSNeXLHH/4kbdEHHu3pyoW3X4svyeMrlenVfqTuWc0qK+Z4p4famI7utuHZ5nuE7Seyvv61/d14tBTokZL3hvXfSp23KZkbyPH6q2p39DHv5qovxG7qz7eGKA/s1pLsgxvqEL2mf6JuX1tTpjEJLri9Hotu7Uyt65PygLOl7e9+BDuKjXlwpn5prkMPf+KOJ7pkjXl4rKEKA20r01c4kusnMjM59X6r5ebP8rKe01nD16FXB0Q92aleRCIye4uNcGNCnYlnpdLiObyP4NG6dvBPynYt3+tfjEu468I6+7uHImExrUQBPXp/J0YznAyaUe3HAOCcnHII004PW1vqpeCD9+GhkJAfB46BOoEmq6usERV3HszDVpLID2yhkc0+gvQVNX1Mx7vFMtuHs4QhO3A6nSOIMiXl+yQGV4BMQi48xOhHvVkMsKUMT3TNGuLxVJ9kHMGzARu9tPxdLR7fCkXJyLyq/XQx8xVETZl5GRrr/iHvXg8lAf5MMf2GQjTv9B99Xb8F1EL3g6532jmsrGxYzz+n9rw93l4VEZDjVd0cRR/54+egZXxAXj9S1lxiDlRfi1qav/gNIi++JpZOrPspt7rYfH0Tg8hbpN9V+8mkycvSIGPBbx+lLxabOQuioKs2KvosGoUejmUdlQXqT3TFGvL1lMjE2cFYEv0Avzwt7CM/l926v8euVXbSJlcXBGsxec+YJWOO2lzYicuQeOPt3RwU3+0iT7oj2JGN/GcK/fCj1Cj8IzPBrLR3Egt325i0ubZmFkzCMYPnUYvAr84adu/E4oIWPTXcE0yMy4rP+NSWXO2DRbmPTTuJit/93C61t6sn/FqkkzsBV+CA81/vI0tuwU5jwyLuqvQBGvLxWD8Ze/5BesCQ3AgCnbcqbmF+09U8TrSxbQIjt1MQYG7UfbqEiMLGTmp9qvF4OcEjI2fxcsn6Y9Kn3G5tTCyE23vL6lRB/gxAQFInzvCwjdOAW+zxh/eRqbywsjd08V8fpSMRjHVJ3Rb7/vwzdjWuN8zEgMmHtQCvSL9p4p4vWlQmmzduDziV/ivM94hHR+sAxDftR+vfguJ6IyJdbMmfxuDznAmYF+DarKe8juOTij+fCPENwMOLn0exzi4OAydgeZm1dK609pEkejXX3jQn36rf6bCE/TAJqvEPi8G9x9o5FeDi4Xg5ySkkeTF8zcTA8qG/JsgULkzBzg9bWhm0iPD8M7LQMRi+6YnWAuwDHOiCpEzsyQIl5fsr4ivWeKen3J6lR+vfg2Lylj83haMvZm3pELja4jNTkFGja12hFjc+vPiN9zFrl/yGhxM3UHEjQm3U+8vrYhZn6E9YFP0HrAPxKJ34bB18N8C46hOV2Doxv3ITPvL8+bx7At7pxJ91MRry9Z4CpSQtrD3dUfMel53wN6eWfnFPE9U7TrSwUzTveXuxNNt983I7SZPpgRKx7/kvlgCQeVXy++akqsOjy9vfQfqnswe8ZSbDfmccmZXqm/4M280ZozReyEA6p6vgpf8Sad+TnmbUuXBwyLvDzfYNaM9fo3tHH6ssDra33GmR8ZaNBvHpZ/6gePgj4QqzbB613r6D+EF2PW3CSkywOGtVkHETszEmv0QUvTLq3gJj1EUa8vFa46mnftjgbSeyAah0xyEz24Bs7o2P81+RoU8T1TpOtL1qfu68XcVdYgplR26Wro73wIcxuVPv0v9pQpaBuwHm5mc1fdQXp0IHwm75HvmzKXu4rX16pupiC0ZX/9h6F8Px+O/iuxO8ILon1Hmx6Nbh2m4KhhV24P5cop4vUlC/yF1MgB6DE3Vb5vSn9ORbAa9jqcjZegiO+Zol1fKhbjNUnvbiZ3lXqvF1811uDQAH0Wr0LU5N76XzsPOHqPxOy4BYVO4aPSVhkefT/Huvmh6NnQpC/a0RvDo1Y9vOYHr68VGbuM5LsWcvDohUX6cx3q/7xcIjjjtVGRWLdycJ4P1CJeX7JANXiOXonE6JkY7u0slxneA7Oi47F2ikmAIxTxPVO060tWp+LrxZYcIiIiUiWGx0RERKRKDHKIiIhIlRjkEBERkSoxyCEiIiJVYpBDREREqsQgh4iIiFSJQQ4RERGpEoMcIiIiUiUGOURERKRKDHKIiIhIlRjkEBERkSoxyCEiIiJVYpBDREREqsQgh4iIiFSJQQ4RERGpEoMcIiIiUiUGOURERKRKFXR68m0iIiu5g/ToQPhM3iPfL0wd9Iz+Eq8nf4jA2NoITVqGfh6V5X126GYKQluGAQs3INyrhlxIRPaGLTlEREWixc3UHUiAF173rC6XEZE9YksOEZUSY+vOefSMVnILyFWkhHTDSEzB7ggvVJVLicj+sCWHiKgobh7DtjjA17sJAxwiO8cgh4jshGghaQ93V3/EpN8xFImxL43qwd03Gun3snBo3kA876q/79oKgyKTkJ6t1R90F1mpqxHq01hfrt/XaCCitqUj2/AID2izkPrdigfHuTZGp5AV+D41C+JRLKW9cgbHNLXh7uIkl+RHi+z0FMSE+Mr/n9h8ERr9I1Kz7srHEJEtMcghIvt39zf8MHkw3p+TDI1UkIXtcweh22dbcTJlFgZ0nYg1Jwx7oEnGFwM+xrLUvwz3hexfETOoC3qMCH9wnP6RTsaGI6jrYHyacsnCQOcOMvck42gzb7R2K2hgtD7AObkaY3z7Izz2F7lM+AVrJg9Dj/6LkSoFaERkSwxyiMj+nViLFVk++Gb/SWScOY1T+5fBv6EjNHGzMWbGBXRYvhVH9OUZv+/DN2O84YhUrIg7gpvSH99B+vrpCE++iQb+U7FOfoyMMyexO24qejbMQOzQWfjukgWtK9qz2LvxOJp2aQW3Aj89r+PQqqXYrnkePaM2G56b2I5txmz/5/X1WY+Nh67LxxKRrTDIISIFaIPg8QFo7lxJuufg3Aa933sR0FxCpfeCMPJ1D0idRw7OaB7QG76O+l1Hz+CKaCyRApOfgWZjEfVpL3jKjwFUgrNnL0yZNxZNNVsRvfV0oa052sx9iE9rBL82dYv34enUAL4RCfqAZyennhOVAgY5RGT/8u0eqoEmrk8V+EFmCEw0QNoU+NQ3jo15sD3XYQqOQoPMjMsPj+PJRYvsi6eR6eiGujWNgVJ+qsPT2wuOonsq6E28IP4vMVYo7jukpBval4jI9hjkEBHp5bT85Os6UpNTgK6vwrNqYR+dDqjqFYwNy8fgNUe5SIwVGjMSgR2awd0nDAkMdohsjkEOEZULjv4rkWocG2NuSwiAR0GfiEWeOl4VHq+PwJLjmTiSFIPZUbMRKsbjCCe+QvBHcUjn2GMim2KQQ0Sq5lDTFU3EGJ24BOywZHBxPqSp48Va5dgBTh7t4OvXFf3EeJzfNyO0mf4JpSVjb6Y8VZ6IbIJBDhGpW9UX0GWgpz7KiUfopMXYbtJNpM1KRUKkWHunMbpEnyxg4LE8ddyjHlycLPjY1J5EjG9jM2v23EXW4R3Yk64pYJwREVkLgxwiUrlq8Bz4KUK9naFJnoNBYkyMcdBxy24InpsMeH+Cz7p75P+BaPHUcZmDB7qFfYgG0po9HQ0Dj6WtAdq+O0OaWu4/uqNlj0VExca3GBGpn1Nj9FuyEevmh6JnQ+NIYL2GvRE6fwO2LvFHgwJaaIo+ddwBTp6DsTxuwYNxOBJHNPAPRVTcYkzyeoYfwEQ2xgSdREREpEr8IUFERESqxCCHiIiIVIlBDhEREakSgxwiIiJSJQY5REREpEoMcoiIiEiVGOQQERGRKjHIISIiIlVikENERESqxCCHiIiIVIlBDhEREakSgxwiIiJSJQY5REREpEoMcoiIiEiVVBfkaNOj0cW1HtylzR8x6XcMO7LTkRIXiUGNjPv0m08IYuJ3IT1bazhG1bT6U7ALCdEh6JRzflphUORafJ+apd9bmDtIj/bPfU4tpT/32yNnILaof1caHnpucj0bhSHlZtm8Lgyv4YLOs/FamLyWczZfhEan2PdrWnsSMb6e6BJ90oLXnT26ifRtCzB5lTWfv7n3Z2N0Cllh4fuzbBheq+0RmnJVLrGWvOe4DN6X4jvjoc/LpIfeW9qsg4gN8ZWP0W/ie+W7VGTl+zT/QmpkNzwfkqKvZR55/s/nA+dje7rxKC1upoTheeP/U4afUUqi0pacOugZfRAZZ2LRz6Oy/rVxDglj+2Lkj1UwaPtJfflp/ZaJI/Pa48/vx6Nb0GqcVHWgo//AiJ+C90ZuxV9PdcXy30X9xbYFY190QMbC9/BOSLyNvhj1b8xDsQiaexT35RL7Ye65VYZHQCwyjk+BV1V7f3u0QWjSCflaGrZT+z/G07s/Qbexm3CJn3+2cTMVX41YiDSrvaDvIitlOt7rMB4//NkeUccyDdfz920Ib34Dm/xfxzth2wr40iw7Dh4B2HhmJ8K9asglVvLQOS7l96XxO2P3s5iy3/CdcWr/HDT9dVLu95b+uO+mfIQ1eA/rpONOYvenz2LP+NFYsMtc4HcTJ1d9jvAff5Pvm5D+z0DMymie8xo4EtEIu0YORlTqX/oDHFDVawp+OXMQy/zrGP6GClUOuqv0X2S7liM00Q3B4wPQ3LmSXO4AJ48OGDl+MNySlyL20HW5XG3u4lJ8GHp+74E534bgDZdz+GZQK/mXQDB+uP8CApeswdiKqxA0a4ddfpCS5RycX0E//45A4nokZdphyxnloUV26mIMCPgedaPW4svRHeDhJH8sOzjD028U5sR+CMSE4NNN5/RHU2nQZm5HdGIl+Pp3z/nOcHBuhWHi+yIxEovkAMZwXG306NcVntJxleDcIgBjx9VGQvKxXC01hhafMCT+pxP8HOXCHMbvKfFYb+a8Bhyc26D3exXxxRT9j1Be/GIpB0HOXVw5kwmNfC8v879EbiI9JRqhPo3lJsi8XQBXkRLS/uHmwpspCG1U70EzpHRfNDkvQFSgIbDI2afNQuqq/JolDXI3g4rHiUZKrmMs6EK6uReLpgChn/aAx83N+HTAFjw5dovhl8n2D1BxzTQsO+IIr7Bp6HFkGb45In4xWMLYdOqPlSm7TJ6naZOuOGYK2gZ8pT//exDeoaFJE63+12vq6gLOsfHx9eUrPpe7GUWz+AnDuff9EikHTf6+0UBEbUtHtvzXEnGO4027KE3PYX7PzVyzeGGvB0vOhazA52RFjm6oW9MY0Iv/NhUJkQMfNHXn062V+zVnrnk+z3V76LyL/fE5r3dpE833KXmuTR6FPz/rv+fMP69Cnr94/Jb9sUajwdHJb+I50+dj0ePndR2H4tbjZLPBGN25jpkPZP2PMc+eGOtfCVsnLMcu6f+Sz4X+8Vcaz1nO8xDdPPNzXl/PB0Zio9T9kbtLqdDzLZ/HLiu24VABn1O5uqvka2F4vLybyWdUYe8Bs+dYY+Z9Kbr4UvTxX36fkUV4X+ZRcAvVVRw7c03/6Pr//+JpZOZ5r4lAp6arGxC3A6k5r42TWDX4M2R4j8XIl6obynKRv6fyeSzHtGTs5Y+WYikHQU5luHXsjo6O+i8y3xGIivuukC+UmzgZPR7dhu7B059uwympmdLQBeDz7gKkFvDGME+Dk3HHDIHF7wew4QNPVBXNksO6oMfqihiUlKYPONLwbdvjCPINQ8Klu9JfaS/FY/hrI7Hr6Y+xW+pe2oc57gcw0uSYnCZcY7fcQ/Rv8tQdSOzki1ef0SJzawIujwpCnwZVpb3il8mIZSsR5FlNvKvRZfRziI07YvhCsNgeTJ2xDY/3W2UInPZH4Jmt4xG09LD+w100r4Zhd3RfOMpdK79EeKGq/g19KX48OvrvyDnHGcemwd1sN8svSNjrjOCfMvWPvRL9mz9lKE6bj1kJjuj77VH9/3sSuxe6ImnAx1gmNesKfyF17jAEfG/SRfl7EsZW3IjAkTH664h8nlteRXk9FHQuhMKeU1FfWw/TZh1AzNqbGBgzBO2MzfrZBzGv/2j8UPEDbJW7Kk/tH4mKa8eYPDfjay4Aa9AfiaK5/NgytMnVPC9ft65rgcFxOCK6fDe2x/ERfTEuXrQyyK0S/j+g4uCNhusqrs34KlgXYHpt8rDw+Vku//dcwE5j94P+uUf9B3uGGp+7YMHzr+qFcP3rsKejI5pO3oxTxu4Tix7fjJvHsC3uHBybuqJmvp/G1eHp7QVHTQq2pZq0OJ/Yhn1PBmGveI4JA9C86j2p1bbbiONos1F8rmRi79h/I3Hm1zgp/4nE4vOtDzI+nYeEx/tgrTgXv+/BPJdkDMrvtSrOzXHD4xm3U/uXwb/hk2gwahS6SZ9RFrwH8jvHueiv1cnVGOP7CfYYPyN/34YpT+/ByA795e4do8Lel0X1Ivza1NV/uhX8AxqaTJy9In9WO7jgjcUxmOz1TDG/dM8j42Lxnm15V7zzrTAOz3TGzIQlGN76GL4YMxKBHZrJUf8KJOT9pXUzFbEzj6DttFAMa+EsnSApGJgzHT3Pfonw9en5f2Dlw7Hre+giAguHp+FRv2pOU2jP8SPg6yG+Vquigf4YX2xF9NbT+se/il0LI7HVYzDGDm8FZ+kq6Y8JCMe8rqkIXbjXwkDkOlKT96K2ey046Wt5MeOCXG6O/hejSz3UPnoGV4pUwTom9RDnqhm8XnocJ1N+xeX8Hke0Lk3YCrdxH+WcYzg1Rj/9Ofbd+aAp2KAOfP3fRAMnB/1j10d9Y1O+Y3eMHddZbtatBGfPNvB0/A07f7liuD43j2Dj0qu5mpv1LwS08++CpicO4OhlY6BYiCK9Hgo5F9Z6TjkMLVAPfi3Xw3Mte2Fu4u/438Ub8oevPtA99D1WnPVCr4BX5NeSeG6iGbyRyXW6ow+C1+tfgSbn1akhuph2fWlPI2nlVsB/NMb6NdC/pvSvmQZvolfXSti6cjsytYZWifNde6Of8bqKa9OuO3o0O/3g2uRi6fMrmtzvOSczXdbiuffC5ws7YndOC0lxnr+gr4NFj/8w7ZUzOKZxhJv0Hi2MsQVB5thRf+4b6v9O/xw96sBJel/t179WP5F/yBifgwjkjYp2vh1zrrWe6D579QU4Wvpazf4Vq0JCEOcyBnMGvmR4DKu9B/TXatVS7G8/HpONn5H659d85HTM87+ap3unGJ9R5ojxN3MWI9OnOzq4iYBNfKaeN+wrlBOcnQu6wnKLjXzvgUICKSqU/BJXO/2b3aMDgpbt00fxGxAVFYlZo1rjfGw4ggM6onVgrDzw2NDykaBxwyuNn859cpxqwd0DyMy4XMzo30j/ZbInGUdRG+4uJi966VfQr9gY0AAO+f66c4KLe21oTJtBLSb+9ln5ti0ZniPST+Oi2ZYJ4zmugSauT5k5x1cf6su2SN7rI53PnQhv/idS4uORILboELzTYYr+3FuqpK+HPOfCKs/J1MMDjzOObcZsf2BN0AS55UQerHg8DM2v7Db8n/FxiAl5Dz6T9xgeRtCexd6NPwMe9eBiDCSNfyu3FGoz9yE+DXm+kGvAK2InMhIC4OFguP1LhCeupHwn/18rENqpK8LT/paPz8vC51ciIthPMdMVoP9c0Af2bjktJMV5/oKlj29L+b1W5ecg3yvZ+TY+liWtCn8hdekkhF98G/Miekg/UiTWeg9In5FX4fZKw5xAzaCwzx/BkmPyuomTX01H6Bl9fcLewjO5/k9r0F+XdgMQ3j4Fs2Ybx0beRdbBaERuvG5y/aiorH6p7J2Dsyfe9vNDl9FL9R/eaUiM6ovaydPxsfSLvPCoWVPklo7i08T2h6fJr3R314ZF/OAXzdz6YE76Ihbddr6otXE1vjN212WfREKIP4Yauxounsb5ApvNrekc1gS0MKmbfqv/pv7LxFq/WUQ30xA836QjAhcf0n/k6lXriDlxoWhqcdOvtV8P1nhOhXBqgHf66X8VIxUrjF2P+l/UMYFt8EKHIVgiDbB3QDXvcKyb3KaIH/SFEV0IsRjUqBl8Apbh0F/icf+N16P0gUKzAgLC0np+mq8Q+Lxbrtfcc7m+XIv5/I0KffyHOdR0RRNHjYU/nsz8MCgOm59v0a05BQFLn0Zo1Ah4GVtsJNZ5DxhawOQ75ph2FZWYocv63ZlAcK76yMGStTjUge+sZQiu9g061hevn3ex4LeXEDKzBxzz/igmi6k/yJHW5GhsMuDVVFV4dO6FHvoPsKMb9yFTm1+T4QMF951bk9wfbfor3bhZPI1S/+vA81X4/JCAHZfuGrrtPm+L0zPeMHwIv/w5Tr8ahpl+deCgTcfGyFPw7/qCmXEptmCmFULezI+NKRptehw+nnwEbaN24lRiBPrpA1tfv7aodfMsMuVjCmfd14N1nlPhDF+c8h0xkHr9dITvbYnZe3/GDxEf6P9P/f/r9QxuWtzUbiH9a2jDuOnY3z4Su35PQHhAV/3/9Q68at1GRnp+30il+PyahSFRHoOSe5MHmBbr+Zso7PHNqdoEr3etU0iwbGwp8sLrnuYGrRaFrc+3YVzTwCDTbrMHrPUeyP0aN+OhVrVi0mbh0LxgQ4CzcQb65apPIZ8PxXkOTh54TfoBLl43+tdgn5fgdNnc4GaylPqDHIe6aN3lxUK6eB5D0y6t4OZgCAp8HTNx4Nf/6d+uJrIv6z/ojE31JYngK8OtjffDv1rkYMzdNxrpTuKDrwYyD5zIM6XbsIiUdIylP7aqtsaQMCB80jqc1P93xm476cP3+FIEve4BJ+0lpEyZgHUvBOL9F6rJf2grBZ3jg4jyscYicYZWqUzkbbq/h+y/itIRZunrwRLWek6FM/zK1f8q9G6iDxblcQMezdDI9Be1VoMb10x+6crvk7y/5A2zZxpL1wRureD3UIuGyQy/w5mGc5KnC0Gb/ReuybcfZuHzK9F7Th64m56G41mmjym+kOejk3Hmj/GaFun5CxY+vlnV0bxrdzRIW4xIs1PExWOswazYu+g4bcCDweQPMb5W87aGGF93Rpae7+LRXtqEcf5fAqPmGX48yeUGVnwPSMGhuc9IY/1Mu12LR5u1DZM7vY73E59BeELeAEcwdkfmbTWSW4CL+Byk91re2YPyY6Hrq/C06Ict5VUOzlpleHT/BKGtt2LkmLlIMFk9VJouO2kcwu/2R2h3D8PJqOoJ/3EvYPeEcCw4KB8rmnfHfII1dT+Uj5MDFc1WrI47YfjAF10/MyOxxoIffA5uHTGqXzWsmbEYKdKH4l1k7VqPdWn/wfAwP2lsQ7uho9F25wxM/mKf/CYWC/pFInQu5GNEmSUq4Rm/KVjzdjrGvDspz0qcYmr0t4ga1BOz7vdB1NhX8/RvW4PpmAAtNNkaaEXgNa1lnnOsP3+fReALmFyLYjN+4P+MdbF7TPq3V2DyhHiT7iczz026bcKi14MlLH1OJaQ/j9/FbMTRht3Rpbn41S9/AadtxNe7Lhmev/h1+kU4QhOzxD2Z/jX9Zn/41/3uwZgAffC7K1Y8llxPh3p4Y3Qv1I6NxJwUw2Nps/bg67XHDbNnWrwsffEcXbseu+Qve23WPiyYNANb861gEZ5fsd9z+nMvjXfYj9BJK3BIem76L9z0TZgxcaX+C1me+SN/cRb6/KXxWI8Zbmuyka218PHN0r8GPQdjefTbOBv0Hj40ndosTbWeizEiaOgXgUlmp5ibkN5XnkiYMR8JUpe04TnMmrHe5PVl6fkuBv37YpX+XO1uPxVLR7UwE/wX4T3w0Dk23HxAHxz2GYiWeT4jT0aHYmRsjSJ+RpohzUAbidizHTF7+cScQct5Obi9hgCfTMzWn2PDuE7DOJpZM8+j5+i3i/QcHMSPCA+T9594rNQ4fLWxFsKHti6lFnb1Kdl3iVKImTtLNiLa9wkcmvg6njP2l7+2BFc9g5H47TB45kTcYhbTDGxY2Ab/myQf22QCMtpOz3Wcg0dXzFzeC5j5Nl4Qx7y7Crd8R2Jis4LaUGUOz8ArbDHW9bqNWS0b6J9LA7SdcRs94xZgpJjOLR0iZoRNR5v/fYa2Uv9sM3T7vhoGmRyT61d0vr8Uharw8AvD2nkdUe1aHAZIjye2VghKvgX3oWvxXYT+Q6GEv3zyYwjqbiG8Q2M833ud1C0oAq/c5zgAPzzVH+tWDja5FiWg/8AfFjsRnj+NlM9fe0za/RR6xcxGT5NL9PBzk3fksOz1YBELn5PlHp5d5d5kHA65DzY5j+ILeAiiw5viYEAb+fmHYvezvbEiqneupnYH59cxaeVi9Lw/z/D86nfQB7/vmTxWJTh7jcXyuPdwf0YH6bGeazkP93stxnLpS00fnA//HJNf+gmB0uu6Hl4I2Y9n/T/H7HxXaC3C8yvRe06Md/gK89peQJj03Nzwgu8PeGrwMvm5CxY+fynY64a70houH2KDmHlm0ePnR5zXifhu/wJ0fnIngprI43rqv47QQ0+gc+w2fDfldQt+gMjvq49q4AdfMYPUDa1nnEe7wf3RVD6iKOe7aMSsrXWYnZwFTeJotMv5jDFu8lo6lr4HzJ3jXPTBYYNemJPrM7IVxmS8gnlJ8rIYxSa69ObiixP6sEsTj+DWhteC6ZYz/MHhWbw+ZjqCnb9FJ+m66T/L+x1Go2mRGNauiKtAOzRAn8Um7z/XFzEgDuiyeCp8n2FXVXFV0OnJt1VBNPl167ASTaI3WH+pcSIihZE+E31PY9T+MAWkKqHCicUguyEwzgvLeE0LxbNDRKQG0orDrTAo+ldDd56e1N02YyXuDnwbzfllSOWQSl/1xunJhXXjEBGphNQVNB6NdgcauvP023OvrcD9tyMt6DIj+6eV01S0QGDsObmMCqO67ioiIiIige2XREREpEoMcoiIiEiVGOQQERGRKjHIISIiIlVikENERESqxCCHiIiIVIlBDhEREakSgxwiIiJSJQY5REREpEoMcoiIiEiVGOQQERGRKjHIISIiIhUC/j9KRtjYbh3RUwAAAABJRU5ErkJggg==\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"458\"/></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Estimate the time at which the powdered zinc was placed in the beaker.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State what point <strong>Y</strong> on the graph represents.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The maximum temperature used to calculate the enthalpy of reaction was chosen at a point on the extrapolated (dotted) line.</span></p>\n<p><span style=\"background-color: #ffffff;\">State the maximum temperature which should be used and outline <strong>one</strong> assumption made in choosing this temperature on the extrapolated line. </span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\">Maximum temperature:</span></p>\n<p><span style=\"background-color: #ffffff;\">Assumption:</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">To determine the enthalpy of reaction the experiment was carried out five times. The same volume and concentration of copper(II) sulfate was used but the mass of zinc was different each time. Suggest, with a reason, if zinc or copper(II) sulfate should be in excess for each trial.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The formula <em>q = mcΔT</em> was used to calculate the energy released. The values used in the calculation were <em>m</em> = 25.00 g, <em>c</em> = 4.18 J g<sup>−1</sup> K<sup>−1</sup>.</span></p>\n<p><span style=\"background-color: #ffffff;\">State an assumption made when using these values for <em>m</em> and <em>c</em>.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"246\" 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\" width=\"666\"/></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Predict, giving a reason, how the final enthalpy of reaction calculated from this experiment would compare with the theoretical value.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(iv).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">100 «s»  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note:</strong> Accept 90 to 100 s.</span></em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">highest recorded temperature<br/><em><strong>OR</strong></em><br/>when rate of heat production equals rate of heat loss  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note:</strong> Accept “maximum temperature”.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept “completion/end point of reaction”.</span></em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Maximum temperature:</em><br/>73 «°C»  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>Assumption</em>:<br/>«temperature reached if» reaction instantaneous<br/><em><strong>OR</strong></em><br/>«temperature reached if reaction occurred» without heat loss  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note:</strong> Accept “rate of heat loss is constant” <strong>OR</strong> “rate of temperature decrease is constant”.</span></em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Any one of:</em><br/>copper(II) sulfate <em><strong>AND</strong> </em>mass/amount of zinc is independent variable/being changed.<br/><em><strong>OR</strong></em><br/>copper(II) sulfate <em><strong>AND</strong> </em>with zinc in excess there is no independent variable «as amount of copper(II) sulfate is fixed»   <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">copper(II) sulfate <em><strong>AND</strong> </em>having excess zinc will not yield different results in each trial  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">zinc <em><strong>AND</strong> </em>results can be used to see if amount of zinc affects temperature rise «so this can be allowed for» <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">zinc <em><strong>AND</strong> </em>reduces variables/keeps the amount reacting constant  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"283\" src=\"data:image/png;base64,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\" width=\"510\"/></p>\n<p> </p>\n<p><strong><em>Note: </em></strong><em><span style=\"background-color: #ffffff;\">Accept “copper(II) sulfate/zinc sulfate” for “solution”.</span></em></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">lower/less exothermic/less negative <em><strong>AND</strong> </em>heat loss/some heat not accounted for<br/><em><strong>OR</strong></em><br/>lower/less exothermic/less negative <em><strong>AND</strong> </em>mass of reaction mixture greater than 25.00 g<br/><em><strong>OR</strong> <br/></em>greater/more exothermic /more negative <em><strong>AND</strong> </em>specific heat of solution less than water  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong> Note:</strong> Accept “temperature is lower” instead of “heat loss”. </span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept “similar to theoretical value </span><span style=\"background-color: #ffffff;\"><strong>AND</strong></span> <span style=\"background-color: #ffffff;\">heat losses have been compensated for”. </span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept “greater/more exothermic/more negative <strong>AND</strong> linear extrapolation overestimates heat loss”.</span></em></p>\n<div class=\"question_part_label\">b(iv).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Almost all candidates identified 100 s as the time at which the reaction was initiated.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many students gained this mark through stating this was the highest temperature recorded, though even more took advantage of the acceptance of the completion of the reaction, expressed in many different ways. Very few answered that it was when heat loss equalled heat production.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Even though almost all students recognised 100 seconds as the start time of the reaction less than 50% chose the extrapolated temperature at this time. Predictably the most common answer was the maximum of the graph, followed closely by the intercept with the y-axis. With regard to reasons, again relatively few gained the mark, though most who did wrote “no loss of heat”, even though it was rare to find this preceded by “the temperature that would have been attained if …”.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The correct answer depended on whether students considered the object of the additional trials was to investigate the effect of a new independent variable (excess copper(II) sulphate) or to obtain additional values of the same enthalpy change so they could be averaged (excess zinc). Answers that gave adequate reasons were rare.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Again relatively few gained these marks for stating that it was assumed the density and specific heat of the solution were the same as water.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Only about a third of the students correctly deduced that loss of heat to the environment means that the experimental value is lower than the theoretical one, though other answers, such as “higher because linear extrapolation over-compensates for the heat losses” were also accepted.</p>\n<div class=\"question_part_label\">b(iv).</div>\n</div>",
    "topics": [
      "tools"
    ],
    "subtopics": [
      "tool-2-technology",
      "tool-3-mathematics"
    ]
  },
  {
    "question_id": "19M.2.HL.TZ1.1",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Xylene is a derivative of benzene. One isomer is 1,4-dimethylbenzene.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img alt=\"\" src=\"../assets/uploads/tinymce_asset/asset/5942/1.PNG\"/></span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Xylene, like benzene, can be nitrated.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Bromine reacts with alkanes.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State the number of <sup>1</sup>H NMR signals for this isomer of xylene and the ratio in which they appear.</span></p>\n<p> </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Draw the structure of one other isomer of xylene which retains the benzene ring.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Write the equation for the production of the active nitrating agent from concentrated sulfuric and nitric acids.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Explain the mechanism for the nitration of benzene, using curly arrows to indicate the movement of electron pairs.</span></p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Identify the initiation step of the reaction and its conditions.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">1,4-dimethylbenzene reacts as a substituted alkane. Draw the structures of the two products of the overall reaction when one molecule of bromine reacts with one molecule of 1,4-dimethylbenzene.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The organic product is not optically active. Discuss whether or not the organic product is a racemic mixture.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Number of signals</em>: 2     <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[</strong><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">✔</span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><em>Ratio</em>:</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">3 : 2 </span></span></p>\n<p><em><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">OR </span></span></em></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">6 : 4     <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[</strong><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">✔</span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">]</strong>   </span></span></p>\n<p><em><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><strong>Note</strong>: Accept any correct integer or fractional ratio. Accept ratios in reverse order.</span></span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img alt=\"\" height=\"223\" src=\"../assets/uploads/tinymce_asset/asset/5943/1a_m.PNG\" width=\"527\"/>      <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[</strong><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">✔</span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">]</strong></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">2H<sub>2</sub>SO<sub>4</sub> + HNO<sub>3</sub> ⇌ NO<sub>2</sub><sup>+</sup> + 2HSO<sub>4</sub></span><span style=\"background-color: #ffffff;\"><sup>−</sup> + H<sub>3</sub>O<sup>+       </sup></span><strong>[</strong>✔<strong>]</strong></p>\n<p><em><strong>Note</strong>: <span style=\"background-color: #ffffff;\">Accept a single arrow instead of an equilibrium sign.<br/>Accept “H<sub>2</sub>SO<sub>4</sub> + HNO<sub>3</sub> ⇌ NO<sub>2</sub><sup>+</sup> + HSO<sub>4</sub><sup>−</sup> + H<sub>2</sub>O”.<br/>Accept “H<sub>2</sub>SO<sub>4</sub> + HNO<sub>3</sub> ⇌ H<sub>2</sub>NO<sub>3</sub><sup>+</sup> + HSO<sub>4</sub><sup>−</sup>”.<br/>Accept equivalent two step reactions in which sulfuric acid first behaves as a strong acid and protonates the nitric acid, before behaving as a dehydrating agent removing water from it.</span></em></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img alt=\"\" height=\"285\" src=\"../assets/uploads/tinymce_asset/asset/5945/1cii.PNG\" width=\"469\"/></p>\n<p><span style=\"background-color: #ffffff;\">curly arrow going from benzene ring to N «of <sup>+</sup>NO<sub>2</sub>/NO<sub>2</sub><sup>+</sup>» <strong>[</strong>✔<strong>]</strong><br/>carbocation with correct formula and positive charge on ring <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[</strong>✔<strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">]</strong><br/>curly arrow going from C–H bond to benzene ring of cation <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[</strong>✔<strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">]</strong><br/>formation of organic product nitrobenzene <em><strong>AND</strong> </em>H<sup>+ </sup><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[</strong>✔<strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">Note: </strong>Accept mechanism with corresponding Kekulé structures.<br/>Do <strong>not</strong> accept a circle in M2 or M3.<br/>Accept first arrow starting either inside the circle or on the circle.<br/>If Kekulé structure used, first arrow must start on the double bond.<br/>M2 may be awarded from correct diagram for M3.<br/>M4: Accept “C<sub>6</sub>H<sub>5</sub>NO<sub>2</sub> + H<sub>2</sub>SO<sub>4</sub>” if HSO<sub>4</sub><sup>−</sup> used in M3.</span></em></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Br<sub>2</sub> 2Br• <strong>[</strong>✔<strong>]</strong><br/></span></p>\n<p><span style=\"background-color: #ffffff;\">«sun»light/UV/<em>hv</em><br/><em><strong>OR</strong></em><br/>high temperature <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[</strong>✔<strong>]</strong></span></p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Do not penalize missing radical symbol on Br.<br/>Accept “homolytic fission of bromine” for M1.</span></em></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img alt=\"\" height=\"111\" src=\"../assets/uploads/tinymce_asset/asset/5946/1dii_m.PNG\" width=\"302\"/><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[</strong><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">✔</span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">]</strong></p>\n<p><span style=\"background-color: #ffffff;\">HBr <strong>[</strong>✔<strong>]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept condensed formulae, such as CH<sub>3</sub>C<sub>6</sub>H<sub>4</sub>CH<sub>2</sub>Br.</span></em></p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">no <em><strong>AND</strong> </em>there is no chiral carbon</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em></span></p>\n<p><span style=\"background-color: #ffffff;\">no <em><strong>AND</strong> </em>there is no carbon with four different substituents/groups <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept “no <strong>AND</strong> no asymmetric carbon<br/>atom”.</span></em></p>\n<div class=\"question_part_label\">e.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many identified two correct peaks but quite a few less the correct ratio.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Generally well done, although some candidates repeated the formula of the 1,4-isomer structure or drew the wrong bond, <em>e.g.</em> benzene ring to H rather than C on CH<sub>3</sub>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The production of NO<sub>3</sub><sup>−</sup> was a common answer.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Performance was fairly good by schools covering the topic while others had no idea. There were many careless steps, such as omission or misplacement of + sign.</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Very well done, with a few making reference to a catalyst.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Some candidates lost one mark for the bond originated from H in CH<sub>3</sub> instead of C. Some teachers thought the use of the word “substituted alkane” made the question more difficult than it should have been.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>One of the most poorly answered questions on the exam with only 10 % of candidates earning this mark. Some candidates just answered ‘yes’ or ‘no’ on whether the organic product is a racemic mix and very few mentioned the absence of a chiral carbon. One teacher though the use of benzene in this question made it unnecessarily tough, stating “the optical activity of benzene has not been covered due to the limited chemistry of benzene included in the specification. An aliphatic compound here would test the understanding of enantiomers without the confusion of adding benzene”. Candidates should recognize that carbon in benzene cannot be the centre of optical activity and look for chiral carbons in the substitution chains.</p>\n<div class=\"question_part_label\">e.</div>\n</div>",
    "topics": [
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "reactivity-3-3-electron-sharing-reactions",
      "reactivity-3-4-electron-pair-sharing-reactions",
      "structure-2-2-the-covalent-model",
      "structure-3-2-functional-groups-classification-of-organic-compounds"
    ]
  },
  {
    "question_id": "19M.2.HL.TZ1.2",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Benzoic acid, C<sub>6</sub>H<sub>5</sub>COOH, is another derivative of benzene.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Identify the wavenumber of one peak in the IR spectrum of benzoic acid, using section 26 of the data booklet.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Identify the spectroscopic technique that is used to measure the bond lengths in solid benzoic acid.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Outline <strong>one</strong> piece of physical evidence for the structure of the benzene ring.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Draw the structure of the conjugate base of benzoic acid showing <strong>all</strong> the atoms and <strong>all</strong> the bonds.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Outline why both C to O bonds in the conjugate base are the same length and suggest a value for them. Use section 10 of the data booklet.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The pH of an aqueous solution of benzoic acid at 298 K is 2.95. Determine the concentration of hydroxide ions in the solution, using section 2 of the data booklet.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">f(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Formulate the equation for the complete combustion of benzoic acid in oxygen using only integer coefficients.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">f(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The combustion reaction in (f)(ii) can also be classed as redox. Identify the atom that is oxidized and the atom that is reduced.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">g.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Suggest how benzoic acid, <em>M<sub>r</sub></em> = 122.13, forms an apparent dimer, <em>M<sub>r</sub></em> = 244.26, when dissolved in a non-polar solvent such as hexane.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">h.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State the reagent used to convert benzoic acid to phenylmethanol (benzyl alcohol), C<sub>6</sub>H<sub>5</sub>CH<sub>2</sub>OH.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">i.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Any wavenumber in the following ranges:<br/>2500−3000 «cm<sup>−1</sup>» </span><strong>[✔]</strong><span style=\"background-color: #ffffff;\"><br/>1700−1750 «cm<sup>−1</sup>» </span><strong>[✔]</strong><span style=\"background-color: #ffffff;\"><br/>2850−3090 «cm<sup>−1</sup>» </span><strong>[✔]</strong></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">X-ray «crystallography/spectroscopy» <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Any one of:</em></span></p>\n<p><span style=\"background-color: #ffffff;\">«regular» hexagon</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em></span></p>\n<p><span style=\"background-color: #ffffff;\">all «H–C–C/C-C-C» angles equal/120º <strong>[✔]</strong><br/>all C–C bond lengths equal/intermediate between double and single</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em></span></p>\n<p><span style=\"background-color: #ffffff;\">bond order 1.5 <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img alt=\"\" height=\"158\" src=\"../assets/uploads/tinymce_asset/asset/5947/2d.PNG\" width=\"482\"/>      <strong>[<span style=\"background-color: #ffffff;\">✔</span>]</strong></p>\n<p> </p>\n<p><em><strong>Note: </strong><span style=\"background-color: #ffffff;\">Accept Kekulé structures.<br/>Negative sign must be shown in correct position.</span></em></p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">electrons delocalized «across the O–C–O system»</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em></span></p>\n<p><span style=\"background-color: #ffffff;\">resonance occurs <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">122 «pm» &lt; C–O &lt; 143 «pm» <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\"><em><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">Note: </strong>Accept “delocalized π-bond”.</em><br/><em>Accept “bond intermediate between single and double bond” or “bond order 1.5” for M1.</em><br/><em>Accept any answer in range 123 to 142 pm</em>.</span></p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em><strong>ALTERNATIVE 1:</strong></em><br/>[H<sup>+</sup>] «= 10<sup>−2.95</sup>» = 1.122 × 10<sup>−3</sup> «mol dm<sup>−3</sup>» <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\"><br/>«[OH<sup>−</sup>] = <span class=\"mjpage\"><math alttext=\"\\frac{{1.00 \\times {{10}^{ - 14}}{\\text{ mo}}{{\\text{l}}^2}{\\text{ d}}{{\\text{m}}^{ - 6}}}}{{1.22 \\times {{10}^{ - 3}}{\\text{ mol d}}{{\\text{m}}^{ - 3}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mn>1.00</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>14</mn>\n</mrow>\n</msup>\n</mrow>\n<mrow>\n<mtext> mo</mtext>\n</mrow>\n<mrow>\n<msup>\n<mrow>\n<mtext>l</mtext>\n</mrow>\n<mn>2</mn>\n</msup>\n</mrow>\n<mrow>\n<mtext> d</mtext>\n</mrow>\n<mrow>\n<msup>\n<mrow>\n<mtext>m</mtext>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>6</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mn>1.22</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>3</mn>\n</mrow>\n</msup>\n</mrow>\n<mrow>\n<mtext> mol d</mtext>\n</mrow>\n<mrow>\n<msup>\n<mrow>\n<mtext>m</mtext>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>3</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n</math></span> =» 8.91 × 10<sup>−12</sup> «mol dm<sup>−3</sup>» <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>ALTERNATIVE 2:</strong></em><br/>pOH = «14 − 2.95 =» 11.05 <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong><br/>«[OH<sup>−</sup>] = 10<sup>−11.05</sup> =» 8.91 × 10<sup>−12</sup> «mol dm<sup>−3</sup>» <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note</strong>: Award <strong>[2]</strong> for correct final answer.<br/>Accept other methods.</span></em></p>\n<div class=\"question_part_label\">f(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">2C<sub>6</sub>H<sub>5</sub>COOH (s) + 15O<sub>2</sub> (g) → 14CO<sub>2</sub> (g) + 6H<sub>2</sub>O (l)<br/>correct products    </span><strong>[✔]</strong><span style=\"background-color: #ffffff;\"><br/>correct balancing    </span><strong>[✔]</strong></p>\n<div class=\"question_part_label\">f(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Oxidized</em>:</span></p>\n<p><span style=\"background-color: #ffffff;\">C/carbon «in C<sub>6</sub>H<sub>5</sub>COOH»</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>AND</strong></em></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>Reduced</em>:</span></p>\n<p><span style=\"background-color: #ffffff;\">O/oxygen «in O<sub>2</sub>»      <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">g.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«intermolecular» hydrogen bonding    <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept diagram showing hydrogen bonding.</span></em></p>\n<div class=\"question_part_label\">h.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">lithium aluminium hydride/LiAlH<sub>4</sub>    <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">i.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates could identify a wavenumber or range of wavenumbers in the IR spectrum of benzoic acid.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Less than half the candidates identified x-ray crystallography as a technique used to measure bond lengths. There were many stating IR spectroscopy and quite a few random guesses.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Again less than half the candidates could accurately give a physical piece of evidence for the structure of benzene. Many missed the mark by not being specific, stating ‘all bonds in benzene with same length’ rather than ‘all C-C bonds in benzene have the same length’.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Very poorly answered with only 1 in 5 getting this question correct. Many did not show <strong>all</strong> the bonds and <strong>all</strong> the atoms or either forgot or misplaced the negative sign on the conjugate base.</p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was a challenge. Candidates were not able to explain the intermediate bond length and the majority suggested the value of either the bond length of C to O single bond or double bond.</p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Generally well done with a few calculating the pOH rather than the concentration of hydroxide ion asked for.</p>\n<div class=\"question_part_label\">f(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most earned at least one mark by correctly stating the products of the reaction.</p>\n<div class=\"question_part_label\">f(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Another question where not reading correctly was a concern. Instead of identifying the atom that is oxidized and the atom that is reduced, answers included formulas of molecules or the atoms were reversed for the redox processes.</p>\n<div class=\"question_part_label\">g.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The other question where only 10 % of the candidates earned a mark. Few identified hydrogen bonding as the reason for carboxylic acids forming dimers. There were many G2 forms stating that the use of the word “dimer” is not in the syllabus, however the candidates were given that a dimer has double the molar mass and the majority seemed to understand that the two molecules joined together somehow but could not identify hydrogen bonding as the cause.</p>\n<div class=\"question_part_label\">h.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Very few candidates answered this part correctly and scored the mark. Common answers were H<sub>2</sub>SO<sub>4</sub>, HCl &amp; Sn, H<sub>2</sub>O<sub>2</sub>. In general, strongest candidates gained the mark.</p>\n<div class=\"question_part_label\">i.</div>\n</div>",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-2-models-of-bonding-and-structure"
    ],
    "subtopics": [
      "reactivity-1-3-energy-from-fuels",
      "reactivity-3-1-proton-transfer-reactions",
      "structure-2-2-the-covalent-model"
    ]
  },
  {
    "question_id": "19M.2.HL.TZ1.25",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Identify the chiral carbon atom using an asterisk, *.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Enantiomers can be identified using a polarimeter. Outline how this instrument differentiates the enantiomers.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <img height=\"177\" src=\"data:image/png;base64,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\" width=\"221\"/>\n  <strong>\n   [\n   <span style=\"background-color:#ffffff;\">\n    ✔]\n   </span>\n  </strong>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   «plane-»polarized light passed through sample\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <br/>\n   analyser/second polarizer determines angle of rotation of plane of plane-polarized light\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   each enantiomer rotates plane «of plane-polarized light» in opposite directions «by the same angle»\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n</div>\n",
    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Some candidates had difficulty identifying the chiral carbon in a methadone structure, with quite a few varied answers. However, many managed to mark the correct carbon.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Very poorly answered. Few scored any marks at all when outlining how a polarimeter can be used to differentiate between enantiomers. Many referred to the light or the enantiomers themselves being rotated.\n </p>\n</div>\n",
    "topics": [
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "structure-3-2-functional-groups-classification-of-organic-compounds"
    ]
  },
  {
    "question_id": "19M.2.HL.TZ1.4",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">This question is about the decomposition of hydrogen peroxide.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Hydrogen peroxide decomposes to water and oxygen when a catalyst such as potassium iodide, KI, is added.</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><br/>2H<sub>2</sub>O<sub>2</sub> (aq) <span class=\"mjpage\"><math alttext=\"\\xrightarrow{{{\\text{KI (aq)}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mover>\n<mo>→</mo>\n<mpadded lspace=\"0.278em\" voffset=\".15em\" width=\"+0.611em\">\n<mrow>\n<mrow>\n<mtext>KI (aq)</mtext>\n</mrow>\n</mrow>\n</mpadded>\n</mover>\n</math></span> O<sub>2</sub> (g) + 2H<sub>2</sub>O (l)</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Suggest why many chemicals, including hydrogen peroxide, are kept in brown bottles instead of clear colourless bottles.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">In a laboratory experiment solutions of potassium iodide and hydrogen peroxide were mixed and the volume of oxygen generated was recorded. The volume was adjusted to 0 at t = 0.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img alt=\"\" height=\"250\" src=\"../assets/uploads/tinymce_asset/asset/5958/4bi_1.PNG\" width=\"427\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The data for the first trial is given below.</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><img alt=\"\" height=\"220\" src=\"../assets/uploads/tinymce_asset/asset/5959/4bi_2.PNG\" width=\"398\"/></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Plot a graph on the axes below and from it determine the average rate of<br/>formation of oxygen gas in cm<sup>3</sup> O<sub>2</sub> (g) s<sup>−1</sup>.</span></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><img alt=\"\" height=\"614\" src=\"../assets/uploads/tinymce_asset/asset/5960/4bi_3.PNG\" width=\"388\"/></span></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Average rate of reaction:</span></span></span></span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Two more trials (2 and 3) were carried out. The results are given below.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img 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\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Determine the rate equation for the reaction and its overall order, using your answer from (b)(i).</span></span></p>\n<p>Rate equation: </p>\n<p>Overall order: </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Additional experiments were carried out at an elevated temperature. On the axes below, sketch Maxwell–Boltzmann energy distribution curves at two temperatures T<sub>1</sub> and T<sub>2</sub>, where T<sub>2</sub> &gt; T<sub>1</sub>.</span></p>\n<p><img alt=\"\" height=\"382\" src=\"../assets/uploads/tinymce_asset/asset/5963/4biii.PNG\" width=\"583\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Apart from a greater frequency of collisions, explain, by annotating your graphs in (b)(iii), why an increased temperature causes the rate of reaction to increase.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">MnO<sub>2</sub> is another possible catalyst for the reaction. State the IUPAC name for MnO<sub>2</sub>.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Comment on why peracetic acid, CH3COOOH, is always sold in solution with ethanoic acid and hydrogen peroxide.</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\">H<sub>2</sub>O<sub>2</sub> (aq) + CH<sub>3</sub>COOH (aq) ⇌ CH<sub>3</sub>COOOH (aq) + H<sub>2</sub>O (l)</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Sodium percarbonate, 2Na<sub>2</sub>CO<sub>3</sub>•3H<sub>2</sub>O<sub>2</sub>, is an adduct of sodium carbonate and hydrogen peroxide and is used as a cleaning agent.</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\">M<sub>r</sub> (2Na<sub>2</sub>CO<sub>3</sub>•3H<sub>2</sub>O<sub>2</sub>) = 314.04</span></p>\n<p><span style=\"background-color: #ffffff;\">Calculate the percentage by mass of hydrogen peroxide in sodium percarbonate, giving your answer to two decimal places.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">decomposes in light    <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept “sensitive to light”.</span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img alt=\"\" height=\"659\" src=\"../assets/uploads/tinymce_asset/asset/5961/4bi_m.PNG\" width=\"407\"/></p>\n<p><span style=\"background-color: #ffffff;\">points correctly plotted     <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">best fit line <em><strong>AND</strong> </em>extended through (to) the origin   <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>Average rate of reaction:</em><br/>«slope (gradient) of line =» 0.022 «cm<sup>3</sup> O<sub>2</sub> (g) s<sup>−1</sup>»   <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</span></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note</strong>: Accept range 0.020–0.024cm<sup>3</sup> O<sub>2</sub> (g) s<sup>−1</sup>.</span></em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Rate equation</em>:<br/>Rate = <em>k</em>[H<sub>2</sub>O<sub>2</sub>] × [KI]     <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</span><br/></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>Overall order</em>:<br/>2     <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Rate constant must be included.</span></em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><img alt=\"\" height=\"333\" src=\"../assets/uploads/tinymce_asset/asset/5964/4biii_m.PNG\" width=\"507\"/></span></p>\n<p><span style=\"background-color: #ffffff;\">peak of T<sub>2</sub> to right of <em><strong>AND</strong></em> lower than T<sub>1</sub>     <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">lines begin at origin <em><strong>AND</strong></em> T<sub>2</sub> must finish above T<sub>1</sub>     <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">E<sub>a</sub> marked on graph    <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">explanation in terms of more “particles” with E ≥ E<sub>a</sub></span></p>\n<p><em><strong><span style=\"background-color: #ffffff;\">OR</span></strong></em></p>\n<p><span style=\"background-color: #ffffff;\">greater area under curve to the right of E<sub>a</sub> in T<sub>2</sub>     <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<div class=\"question_part_label\">b(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">manganese(IV) oxide</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em></span></p>\n<p><span style=\"background-color: #ffffff;\">manganese dioxide     <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept “manganese(IV) dioxide”.</span></em></p>\n<div class=\"question_part_label\">b(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">moves «position of» equilibrium to right/products    <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept “reactants are always present as the reaction is in equilibrium”.</span></em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">M( H<sub>2</sub>O<sub>2</sub>) «= 2 × 1.01 + 2 × 16.00» = 34.02 «g»     <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«% H<sub>2</sub>O<sub>2</sub> = 3 × <span class=\"mjpage\"><math alttext=\"\\frac{{34.02}}{{314.04}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mn>34.02</mn>\n</mrow>\n<mrow>\n<mn>314.04</mn>\n</mrow>\n</mfrac>\n</math></span> × 100 =» 32.50 «%»     <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</span></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note</strong>: Award <strong>[2]</strong> for correct final answer.</span></em></p>\n<div class=\"question_part_label\">d.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were a couple of comments claiming that this NOS question on “why to store hydrogen peroxide in brown bottles” is not the syllabus. Most candidates were quite capable of reasoning this out.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates could plot a best fit line and find the slope to calculate an average rate of reaction.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Good performance but with answers that either typically included only [H<sub>2</sub>O<sub>2</sub>] with first or second order equation or even suggesting zero order rate equation.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Fair performance; errors including not starting the two curves at the origin, drawing peak for T2 above T1, T2 finishing below T1 or curves crossing the x-axis.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The majority of candidates earned at least one mark, many both marks. Errors included not annotating the graph with <em>E</em><sub>a</sub> and referring to increase of kinetic energy as reason for higher rate at T2.</p>\n<div class=\"question_part_label\">b(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A well answered question. Very few candidates had problem with nomenclature.</p>\n<div class=\"question_part_label\">b(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>One teacher suggested that “stored” would have been better than “sold” for this question. There were a lot of irrelevant answers with many believing the back reaction was an acid dissociation.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>It is recommended that candidates use the relative atomic masses given in the periodic table.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter",
      "tools"
    ],
    "subtopics": [
      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
      "reactivity-2-3-how-far-the-extent-of-chemical-change",
      "structure-1-4-counting-particles-by-mass-the-mole",
      "structure-2-4-from-models-to-materials",
      "structure-3-2-functional-groups-classification-of-organic-compounds",
      "tool-1-experimental-techniques",
      "tool-3-mathematics"
    ]
  },
  {
    "question_id": "19M.2.HL.TZ1.7",
    "Question": "<div class=\"question\">\n<p><span style=\"background-color: #ffffff;\">An aqueous solution of silver nitrate, AgNO<sub>3</sub> (aq), can be electrolysed using platinum electrodes.</span></p>\n<p><span style=\"background-color: #ffffff;\">Formulate the half-equations for the reaction at each electrode during electrolysis.</span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Cathode (negative electrode):</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Anode (positive electrode):</span></span></span></p>\n</div>",
    "Markscheme": "<div class=\"question\">\n<p><span style=\"background-color: #ffffff;\"><em>Cathode (negative electrode):</em><br/>Ag<sup>+</sup> (aq) + e<sup>−</sup> → Ag (s)    <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\"><br/><em>Anode (positive electrode):</em><br/>2H<sub>2</sub>O(l) → O<sub>2</sub> (g) + 4H<sup>+</sup> (aq) + 4e<sup>−</sup>    <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept 4OH<sup>−</sup> (aq) → O<sub>2</sub> (g) + 2H<sub>2</sub>O(l) + 4e<sup>−</sup></span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept multiple or fractional coefficients in both half-equations.</span></em></p>\n</div>",
    "Examiners report": "<div class=\"question\">\n<p>Very few answers were correct, even for stronger candidates. Many failed to formulate the correct half equation for the reaction at the anode and used the nitrate ion instead of oxidation of H<sub>2</sub>O. Some candidates lost one of the marks for using equilibrium arrows in an electrolysis equation.</p>\n</div>",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-2-models-of-bonding-and-structure"
    ],
    "subtopics": [
      "reactivity-1-4-entropy-and-spontaneity",
      "reactivity-3-2-electron-transfer-reactions",
      "structure-2-4-from-models-to-materials"
    ]
  },
  {
    "question_id": "19M.2.HL.TZ1.8",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Draw the structure of the repeating unit of starch and state the type of linkage formed between these units.\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    <img height=\"142\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAATIAAAC+CAYAAAC2w4PSAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAA6oSURBVHhe7d1/aFXnHcfxr25I60oZ9p+lU+gPF1dop65GUBMMzF8IbamhFEZNt6baQbUjYyrDWidVnI1UaB3dbFOqLYzSRgyDomnrGoiW0ljDuqLJLJRFTWGj4A/SYWfu7vd4TnpyvD/Ovfece+5znvcLQs+5Sf/xnnzO83zOk+dOymQJABhssvtfADAWQQbAeAQZAOMRZACMR5ABMB5BBsB4BBkA4xFkAIxHkAEwHkEGwHgEGQDjEWQAjEeQATAeQQbAeAQZAOMRZACMR5ABMB5BBsB4BBkA4xFkAIxHkAH5jI3Iie635dVNy2XSpEnfft36qOx++x05MXLF/UEkjU9RAq4zJpeHDsmzT6yT5z4YcV/L5W5pff5P8odfL5I6hgSJ4p8fmOCKjBx9Vu6b1eKEWF1rh7z1/qBcyt7v9Z6vX1fP98uhzo3SLP+QA79plHt/uV9OXx5z/38kgREZ4DN27qCsaWiRV0eyo63Ov8gfH7tbbnK/FzQ28q48/fNHZecHIs0dh+Svv52f92cRL4IMGPcfObpphfzsufOhg+nb4HtIOgcPyGP1N7jfQTUxtQQ8F/8uR14/IVL3C9mydl6o0dXkH66UTdsfyh71yZt9XwgTzGQQZDVk+/btE5+O8RXr10RjcrH/PXl9JJtjq5fIvJvD/mrcIDMbV8gyGZGeN4/LGZIsEQRZjejp6ZEtW7bIkiVL3FdQXVfkyy/OZOOoTu6ZdWtJXdfkH9wmc+qyB5+ekbOU/omgI6sBx44dk8bGRud49uzZ8swzzzjHiNeqVavcI3VZTuy+T+ZtGJbWrr/J/lUz3NdD+N8J2f3jebLh8yek6/xeWVX3XfcbqBoNMiRneHg409DQoDcT5+vkyZPud1BdlzL9Hc3Z9+DOTGvXv9zXQvqmP9Nxp75/T2S6zn/jvohqYmqZoLNnzzqjgo8//tg57+vrkzlz5jjHMMjoBfn3aPa/ddPk+9/jVyoJ/Ksn5Ouvv5Zt27aNh9j+/ftl0aJFzjGSMFV+9NMFUiefy7sf/VMuuq+GMfblFzKgfwBwz0yZfhO/UkngXz0BGmJPPfWUvPLKK875iy++KK2trc4xkjJZbp63RFbXiYy8/p70Xwxb2v9XzvQdlp5sBC57eKHM5DcqEfyzJ6Czs3M8xB5//HFpa2tzjpGwm38iy1ffm02y1+TZff1y2X25kLFz78iup9/KHjXKw4238QuVFLcrQ5Vkp5DjxX42xDKjo6Pud1ALrp7tyjxWp+/P3ZnWzk8zl9zXc7l6vifzu+a67M/WZZo7Pir4s4gXQVZFfX194yGmTyr1iSVqzdXMpf7nM83u+1TX2pF56/3BCSF19Xx/5lDnRt/PvJY5demq+10kgXVkVTIwMCBz5851z0SyISbTp093z1BbStjGp2O3bP7VUqmn5E8UQVYFuZZZ8ITSBBdl6Oh70nfkz9L2XI/7WlbzRulcv1hmL1gi99ZNcV+caGhoSOrr690zxI0gi5k+oVy8ePF4iB05ckSWLVvmHCN99P3eunWrdHR0cMOqIoIsRrmWWaxbt845Rjrp6HvGjG//vIkKoTqY2MdI78xeiO3YsYMQs4CGlo7EPFopaLghXgRZTPbu3etML5SuFWtvb3eOkX46ndQKQWmloDcwHZ0jPkwtY3Dw4EFpaWlxjhsaGqS3t1duvPFG5xz20JvZ+vXrnWO9mb3wwgtcBzH5zu+z3GNEQLfkWbFihXOsIaahdssttzjnsMv8+fNlypQpcvToUfnkk09k6tSp0tTU5H4XUWJEFqFg0Ts4OMgjeMvxwKc6CLKIsFYM+QSX4HBtRI+yPwJ6oepd1rtQ2ZIHftqLacWgVYPS3YC1gkB0CLIKeVOH7u5u55wteZCLLst444033DNxnmKzLCM6BFmFglvy0H8gH+1LvTVmOnrXKuKrr75yzlEZgqwCuR6vA4Vo5aDVg9Iw27RpE2vMIkDZXyb/Jx9p93H48GGZNm2acw4UE7wJvvzyy84xysOIrAzBENMilxBDKbSC0ABTWk1osKF8jMhKxDILRCW4xkynnDwoKg9BVgItZnXVPiGGqHBjjAZTy5D07qnFrHfB6TILLjhUSpdlBNeY6aaMKA1BFpJ/CsCWPIiShtmePXvcM5FHHnmENWYlIshC0CLWv1aMLXkQNR3d+7f+0ekmyzLCI8iK0GG/95j8gQceYCsWxEa3QNfKQmmY6SyAMAuHbXwKCG7Jo0+V2JIHcQpu/XPlyhVZunSp+13kw1PLPLRwnTVrlnvG3uuonuCyDLb+KY4gy4FH4kiahhmfvhUeHVmAXkD+EOvq6iLEUHXBrX+WL1/O1j8FEGQ+3pDeCzEd0muoAUkIbv2ja8xYlpEbQeaja3m8XmLDhg30Ekicf+sfpTdWwux6BJlL14pt3rzZOda1Ytu2bXOOgaRpteHf+kevTZZlTETZn9XT0+N0EIoteVCrcu1/x5rGa6wfkWmB6g8xtuRBrQpu/aO7E+Maq0dkwWUWJ0+elDlz5jjHQC1ijVlu1gYZa8VgKraTup6VU0u9q2lh6l9mQYjBFFp9BLf+GRgYcI5tZV2QMTRHGgS3/lm7dq3VyzKsC7Lgx7e1tbU5x4BpdBbhrTHT2YVWJbZ+vJxVQXbgwAEeXyNVNMx0VqE0zGz9eDlrtvHRZRb333+/c6zdwksvvcSWPEgFtv6x5KmlFqFz5851z9iSB+lje/eb+qmlFqBahHq0UyDEkDZakWhVorsYK61Q9MmmLVI9ItO7FHs6wSa2ro9M7YjMG2r714oRYki7XFv/2PDxcqkNsq1bt473BWzJA5sEt/6x4ePlUhlkuktAR0eHc8yWPLCRTid1d2OlsxK9kad5WUbqOjItOFtaWpxjXWbR29vLWjFYy5atf1I1ItO1Yv4Q01AjxGAzHYn5t/7x/1lTmqRmRKYdwIwZM9wzkcHBQacrAGxnwxqzVASZrY+cgbCCW/+kbSmS8VNLvdvo3cV7g3Rvc0IMmCi49U/aPl7O6CDzhszd3d3OuQ6ZW1tbnWMAEwW3/mlvb0/Nsgyjg2znzp3j8/7Vq1ezVgwoQmcr/q1/Vq5cKefOnXPOTWZ0kM2cOdM9Ejl9+nTqF/0BUdDPpvDccccdqfiwHePL/jVr1oyPyrwlF/xROJCbf12ZSstOMMaX/bt27RovMHWorE8vGZkB1wuGmD65TMtN3/gg02Hxvn373DPCDMglGGI7duxg+UWt0c+i9D5SXhFmwDX6ZF/rF3+I6Z5l+sQyTVL1t5b+vkzRmcFmwRX9njTukJyKEZnH35cpRmawVb4QS1Mv5peqIAv2ZYowg23yhVjaejG/VAWZCvZlijCDLfKFWBp7Mb/U7UfmCfZlis4MaZYvxFTaPzksdSMyT7AvU4zMkFaFQiytvZhfaoMsV1+mCDOkTaEQS3Mv5pfaIFO5+jJFmCEtCoWY7gyb5l7ML7UdmV+uvkzRmcFkhULMtmvbiiAL7o7pR5jBRIVCTNm2S3Kqp5aefH2ZYpoJ0xQLMd1g1LZdkq0IMpWvL1OEGUxRLMS0F2tra3PP7GHF1NIvX1+mmGailhULMZuvX+uCrFBfpggz1KJiIaZs/vQwa6aWnkJ9mWKaiVoTJsRs7MX8rAsyVagvU4QZakWYELO1F/OzbmrpV6gvU0wzkaQwIcY1eo3VQVasL1NcKEhCmBBTfKr+NVZOLT3F+jLFNBPVFjbEbO/F/KwOMlWsL1OEGaolbIjRi01k9dTSr1hfpphmIk5hQ4zr8HoEmStMX6a4iBCHsCGm6MWuZ/3U0hOmL1NMMxG1UkKMXiw3gswnTF+mCDNEpZQQoxfLj6llDmH6MsU0E5UoJcS41gojyHII25cpLjCUo5QQU/RihTG1zEH7sj179rhnhTHNRKlKDTF6seIIsjz0wtELKAwvzAYGBtxXgNxKDTF6sXCYWhZQ6kWnmAIgn1KvJ2qL8AiyInTKqKOtMH2ZhzBDEDfFeDG1LELvhmH7Mk9jY6McO3bMPYPtygkxerHSEGQhlNKXeQgzqHJCjF6sdEwtQyrnglRMD+xVzjVDL1YegqwE5fRlijCzDze+6mJqWYJy+jLFNNMu5YYYvVj5CLISldOXKcLMDuWGGL1YZZhalqHci1UxdUivcq8LerHKEWRlKrcvU4RZ+nBzSxZTyzKV25cpppnpUkmI0YtFgyCrQLl9mSLM0qGSEKMXiw5TywpVciErphXmquS9pxeLFkEWgUr6MkWYmYcbWG1hahmBSvoyxTTTLJWGGL1Y9AiyiFTSlynCzAyVhhi9WDyYWkao0otcMeWoXZW+v/Ri8SHIIlZpX6YIs9rDTaq2MbWMWKV9mWKaWVuiCDF6sXgRZDGotC9ThFltiCLE6MXix9QyJlH8AiimI8mJ4j2kF6sOgixGUfRl6vDhw3L77be7Z6iGCxcuyJNPPlnxe8eNqDoIspjp9FCnieWqr6+XoaEh9wzVtGDBAvnwww/ds9JpvbBu3Tr3DHGiI4tZJX3ZwoULCbEEaYhpmJWDXqzKdESGeI2OjmayF7aOfEN/NTU15Xydr+p/ZUfFOV/P99XQ0JAZHh52331UA1PLKimlL6t0SoPo3XXXXXLq1Cn3rDB6sepjalklYdeXLV68mBCrQV6IaaAVwnqxZBBkVVSsL9Nfkt7eXvcMtUgDLV+Y0Yslh6llleVam6S/GJMnT5bPPvvMfQW1TkfO/psO68WSRZAlwN+XldK9oLboU+Xjx487x/RiySLIEqLryzZu3Dj+iwAzNTU1yYMPPijt7e3uK0gCQQbAeJT9AIxHkAEwHkEGwHgEGQDjEWQAjEeQATAeQQbAeAQZAOMRZACMR5ABMB5BBsB4BBkA4xFkAIxHkAEwHkEGwHgEGQDjEWQAjEeQATAeQQbAeAQZAOMRZACMR5ABMB5BBsB4BBkA4xFkAIxHkAEwHkEGwHgEGQDjEWQAjEeQATAeQQbAeAQZAOMRZACMR5ABMB5BBsB4BBkA4xFkAAwn8n/HRtqGHh4g4QAAAABJRU5ErkJggg==\" width=\"229\"/>\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Type of linkage:\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Formulate the equation for the complete hydrolysis of a starch molecule, (C\n    <sub>\n     6\n    </sub>\n    H\n    <sub>\n     10\n    </sub>\n    O\n    <sub>\n     5\n    </sub>\n    )\n    <sub>\n     n\n    </sub>\n    .\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <img height=\"221\" src=\"data:image/png;base64,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\" width=\"229\"/>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   continuation bonds\n   <em>\n    <strong>\n     AND\n    </strong>\n   </em>\n   −O attached to just one end\n   <em>\n    <strong>\n     AND\n    </strong>\n   </em>\n   both H atoms on end carbons must be on the same side\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <br/>\n   <em>\n    Type of linkage:\n   </em>\n   <br/>\n   glycosidic\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     Note:\n    </strong>\n    Square brackets not required.\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    Ignore “n” if given.\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    Mark may be awarded if a polymer is shown but with the repeating unit clearly identified.\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    Accept “ether”.\n   </span>\n  </em>\n </p>\n <p>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n   (C\n  </span>\n  <sub style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:11.6px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n   6\n  </sub>\n  <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n   H\n  </span>\n  <sub style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:11.6px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n   10\n  </sub>\n  <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n   O\n  </span>\n  <sub style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:11.6px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n   5\n  </sub>\n  <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n   )\n  </span>\n  <sub style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:11.6px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n   n\n  </sub>\n  <span style=\"background-color:#ffffff;\">\n   (s) +\n   <em>\n    n\n   </em>\n   H\n   <sub>\n    2\n   </sub>\n   O (l) →\n   <em>\n    n\n   </em>\n   C\n   <sub>\n    6\n   </sub>\n   H\n   <sub>\n    12\n   </sub>\n   O\n   <sub>\n    6\n   </sub>\n   (aq)\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <strong>\n    Note:\n   </strong>\n   Accept “(n-1)H\n   <sub>\n    2\n   </sub>\n   O”.\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   Do\n   <strong>\n    not\n   </strong>\n   award mark if “n” not included.\n  </span>\n </p>\n</div>\n",
    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Candidates were required to draw the structure of the repeating unit of starch given the ring structure as a starting point. This proved extremely difficult with very few candidates scoring a mark. Commonly, the structure of\n  <span class=\"mjpage\">\n   <math alttext=\"a\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     a\n    </mi>\n   </math>\n  </span>\n  -glucose was given, or an attempt was made to draw a polymer. Naming the type of linkage formed was answered well.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Also proved challenging, with many candidates unable to write an equation for the hydrolysis of a starch molecule (C\n  <sub>\n   6\n  </sub>\n  H\n  <sub>\n   10\n  </sub>\n  O\n  <sub>\n   5\n  </sub>\n  )\n  <sub>\n   n\n  </sub>\n  . The n was often omitted from otherwise correct equations or the product was incorrectly given as (C\n  <sub>\n   6\n  </sub>\n  H\n  <sub>\n   12\n  </sub>\n  O\n  <sub>\n   6\n  </sub>\n  )\n  <sub>\n   n\n  </sub>\n  .\n </p>\n</div>\n",
    "topics": [
      "structure-2-models-of-bonding-and-structure"
    ],
    "subtopics": [
      "structure-2-4-from-models-to-materials"
    ]
  },
  {
    "question_id": "19M.2.HL.TZ2.2",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">The thermal decomposition of dinitrogen monoxide occurs according to the equation:</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\">2N<sub>2</sub>O (g) → 2N<sub>2</sub> (g) + O<sub>2</sub> (g)</span></p>\n<p><span style=\"background-color: #ffffff;\">The reaction can be followed by measuring the change in total pressure, at constant temperature, with time.</span></p>\n<p><span style=\"background-color: #ffffff;\">The <em>x</em>-axis and <em>y</em>-axis are shown with arbitrary units.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img alt=\"\" height=\"283\" src=\"../assets/uploads/tinymce_asset/asset/5982/2.PNG\" width=\"564\"/></span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">This decomposition obeys the rate expression:</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><span class=\"mjpage\"><math alttext=\" - \\frac{{d[{{\\text{N}}_2}{\\text{O]}}}}{{dt}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mo>−<!-- − --></mo>\n<mfrac>\n<mrow>\n<mi>d</mi>\n<mo stretchy=\"false\">[</mo>\n<mrow>\n<msub>\n<mrow>\n<mtext>N</mtext>\n</mrow>\n<mn>2</mn>\n</msub>\n</mrow>\n<mrow>\n<mtext>O]</mtext>\n</mrow>\n</mrow>\n<mrow>\n<mi>d</mi>\n<mi>t</mi>\n</mrow>\n</mfrac>\n</math></span> = <em>k</em>[N<sub>2</sub>O]</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Explain why, as the reaction proceeds, the pressure increases by the amount shown.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Outline, in terms of collision theory, how a decrease in pressure would affect the rate of reaction.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Deduce how the rate of reaction at <em>t</em> = 2 would compare to the initial rate.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">It has been suggested that the reaction occurs as a two-step process:</span></p>\n<p><span style=\"background-color: #ffffff;\">Step 1: N<sub>2</sub>O (g) → N<sub>2</sub> (g) + O (g)</span></p>\n<p><span style=\"background-color: #ffffff;\">Step 2: N<sub>2</sub>O (g) + O (g) → N<sub>2</sub> (g) + O<sub>2</sub> (g)</span></p>\n<p><span style=\"background-color: #ffffff;\">Explain how this could support the observed rate expression.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The experiment is repeated using the same amount of dinitrogen monoxide in the same apparatus, but at a lower temperature.</span></p>\n<p><span style=\"background-color: #ffffff;\">Sketch, on the axes in question 2, the graph that you would expect.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The experiment gave an error in the rate because the pressure gauge was inaccurate.</span></p>\n<p><span style=\"background-color: #ffffff;\">Outline whether repeating the experiment, using the same apparatus, and averaging the results would reduce the error.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The graph below shows the Maxwell–Boltzmann distribution of molecular energies at a particular temperature.</span></p>\n<p><img alt=\"\" height=\"309\" src=\"../assets/uploads/tinymce_asset/asset/5983/2f.PNG\" width=\"637\"/></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The rate at which dinitrogen monoxide decomposes is significantly increased by a metal oxide catalyst.</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Annotate and use the graph to outline why a catalyst has this effect.</span></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Determine the standard entropy change, in J K−1, for the decomposition of dinitrogen monoxide. </span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\">2N<sub>2</sub>O (g) → 2N<sub>2</sub> (g) + O<sub>2</sub> (g)</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><img alt=\"\" height=\"154\" src=\"../assets/uploads/tinymce_asset/asset/5984/2gi.PNG\" width=\"325\"/></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">g(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Dinitrogen monoxide has a positive standard enthalpy of formation, Δ<em>H</em><sub>f</sub></span><sup>θ</sup><span style=\"background-color: #ffffff;\">.</span></p>\n<p><span style=\"background-color: #ffffff;\">Deduce, giving reasons, whether altering the temperature would change the </span><span style=\"background-color: #ffffff;\">spontaneity of the <strong>decomposition</strong> reaction.</span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">g(ii).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">increase in the amount/number of moles/molecules «of gas»     <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">from 2 to 3/by 50 %     <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«rate of reaction decreases»<br/>concentration/number of molecules in a given volume decreases<br/><em><strong>OR</strong></em><br/>more space between molecules    <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">collision rate/frequency decreases<br/><em><strong>OR</strong></em><br/>fewer collisions per unit time     <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note</strong>: Do <strong>not</strong> accept just “larger space/volume” for M1.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">half «of the initial rate»    <strong>[✔]</strong></span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\"><strong>Note: </strong><em>Accept “lower/slower «than initial rate»”.</em></span></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">1 slower than 2<br/><em><strong>OR</strong></em><br/>1 rate determinant step/RDS    <strong>[✔]</strong></span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\">1 is unimolecular/involves just one molecule so it must be first order<br/><em><strong>OR</strong></em><br/>if 1 faster/2 RDS, second order in N<sub>2</sub>O<br/><em><strong>OR</strong></em><br/>if 1 faster/2 RDS, first order in O     <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</span></span></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"253\" src=\"data:image/png;base64,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width=\"541\"/></p>\n<p><span style=\"background-color: #ffffff;\">smaller initial gradient     <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">initial pressure is lower <em><strong>AND</strong> </em>final pressure of gas lower «by similar factor»     <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[</span><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">✔]</span></span></p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">no <em><strong>AND</strong> </em>it is a systematic error/not a random error</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em></span></p>\n<p><span style=\"background-color: #ffffff;\">no <em><strong>AND</strong> </em>«a similar magnitude» error would occur every time     <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"419\" src=\"data:image/png;base64,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\" width=\"635\"/></p>\n<p><span style=\"background-color: #ffffff;\">catalysed and uncatalysed E<sub>a</sub> marked on graph <em><strong>AND</strong> </em>with the catalysed being at lower energy     <strong>[✔]</strong><br/></span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\">«for catalysed reaction» greater proportion of/more molecules have E ≥ E<sub>a</sub> / E &gt; E<sub>a</sub><br/><em><strong>OR</strong></em><br/>«for catalysed reaction» greater area under curve to the right of the E<sub>a</sub>     <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept “more molecules have the activation energy”.</span></em></p>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Δ<span style=\"background-color: #ffffff;\">S<sup>θ</sup> = 2(S<sup>θ</sup>(N<sub>2</sub>)) + S<sup>θ</sup>(O<sub>2</sub>) – 2(S<span style=\"font-size: 14px;\"><sup><span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\">θ</span></sup></span>(N<sub>2</sub>O))<br/></span><span style=\"background-color: #ffffff;\"><em><strong>OR<br/></strong></em></span>Δ<span style=\"background-color: #ffffff;\">S<span style=\"font-size: 14px;\"><sup><span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\">θ</span></sup></span> = 2 × 193 «J mol<sup>-1</sup> K<sup>-1</sup>» + 205 «J mol<sup>-1</sup> K<sup>-1</sup>» – 2 × 220 «J mol<sup>-1</sup> K<sup>-1</sup>»     <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«ΔS<span style=\"font-size: 14px;\"><sup><span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\">θ</span></sup></span> = +»151 «J K<sup>-1</sup>»     <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Award <strong>[2]</strong> for correct final answer.</span></em></p>\n<div class=\"question_part_label\">g(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">exothermic decomposition<br/><em><strong>OR</strong></em><br/>Δ<em>H</em><sub>(decomposition)</sub> &lt; 0    <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>TΔS</em><sup>θ</sup> &gt; Δ<em>H</em><span style=\"font-size: 14px;\"><sup><span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\">θ<br/></span></sup></span></span><span style=\"background-color: #ffffff;\"><em><strong>OR<br/></strong></em></span><span style=\"background-color: #ffffff;\">Δ<em>G</em><span style=\"font-size: 14px;\"><sup><span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\">θ</span></sup></span> «= Δ<em>H</em><span style=\"font-size: 14px;\"><sup><span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\">θ</span></sup></span> – <em>TΔS</em><span style=\"font-size: 14px;\"><sup><span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\">θ</span></sup></span>» &lt; 0 «at all temperatures»     <strong>[</strong><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">✔]</span></span></p>\n<p><span style=\"background-color: #ffffff;\">reaction spontaneous at all temperatures    <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[</strong><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">✔]</span></span></p>\n<div class=\"question_part_label\">g(ii).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Students were able in general to relate more moles of gas to increase in pressure.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Few students were able to relate the effect of reduced pressure at constant volume with a decrease in concentration of gas molecules and mostly did not even refer to this, but rather concentrated on lower rate of reaction and frequency of collisions. Many candidates lost a mark by failing to explain rate as collisions per unit time, frequency, <em>etc</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Though the differential equation was considered to be misleading by teachers, most candidates attempted to answer this question, and more than half did so correctly, considering they had the graph to visualize the gradient.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most students were able to identity step 1 as the RDS/slow but few mentioned unimolecularity or referred vaguely to NO<sub>2</sub> as the only reagent (which was obvious) and got only 1 mark.</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many students drew a lower initial gradient, but most did not reflect the effect of lower temperature on pressure at constant volume and started and finished the curve at the same pressure as the original one.</p>\n<p> </p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Almost all candidates identified the inaccurate pressure gauge as a systematic error, thus relating accuracy to this type of error.</p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The graph was generally well done, but in quite a few cases, candidates did not mention that increase of rate in the catalyzed reaction was due to <em>E</em> (particles) &gt; <em>E</em><sub>a</sub> or did so too vaguely.</p>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Candidates were able to calculate the ΔS of the reaction, though in some cases they failed to multiply by the number of moles.</p>\n<div class=\"question_part_label\">g(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Though the question asked for decomposition (in bold), most candidates ignored this and worked on the basis of a the Δ<em>H</em> of formation. However, many did write a sound explanation for that situation. On the other hand, in quite a number of cases, they did not state the sign of the Δ<em>H</em> (probably taking it for granted) nor explicitly relate Δ<em>G</em> and spontaneity, which left the examiner with no possibility of evaluating their reasoning.</p>\n<div class=\"question_part_label\">g(ii).</div>\n</div>",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions",
      "reactivity-2-how-much-how-fast-and-how-far",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "tools"
    ],
    "subtopics": [
      "reactivity-1-4-entropy-and-spontaneity",
      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
      "structure-1-5-ideal-gases",
      "tool-2-technology",
      "tool-3-mathematics"
    ]
  },
  {
    "question_id": "19M.2.HL.TZ2.3",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Dinitrogen monoxide, N<sub>2</sub>O, causes depletion of ozone in the stratosphere.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Different sources of N<sub>2</sub>O have different ratios of <sup>14</sup>N : <sup>15</sup>N.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">The Lewis (electron dot) structure of the dinitrogen monoxide molecule can be represented as:</span></p>\n<p><span style=\"background-color: #ffffff;\"><img alt=\"\" height=\"54\" src=\"../assets/uploads/tinymce_asset/asset/5985/3d.PNG\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"373\"/></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Outline why ozone in the stratosphere is important.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Dinitrogen monoxide in the stratosphere is converted to nitrogen monoxide, NO (g).</span></p>\n<p><span style=\"background-color: #ffffff;\">Write <strong>two</strong> equations to show how NO (g) catalyses the decomposition of ozone.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State <strong>one</strong> analytical technique that could be used to determine the ratio of <sup>14</sup>N : <sup>15</sup>N.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">A sample of gas was enriched to contain 2 % by mass of <sup>15</sup>N with the remainder being <sup>14</sup>N.</span></p>\n<p><span style=\"background-color: #ffffff;\">Calculate the relative molecular mass of the resulting N<sub>2</sub>O.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Predict, giving <strong>two</strong> reasons, how the first ionization energy of <sup>15</sup>N compares with that of <sup>14</sup>N.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Explain why the first ionization energy of nitrogen is greater than both carbon and oxygen.</span></p>\n<p><span style=\"background-color: #ffffff;\">Nitrogen and carbon:</span></p>\n<p><span style=\"background-color: #ffffff;\">Nitrogen and oxygen:</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State what the presence of alternative Lewis structures shows about the nature of the bonding in the molecule.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State, giving a reason, the shape of the dinitrogen monoxide molecule.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Deduce the hybridization of the central nitrogen atom in the molecule.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(iii).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">absorbs <span style=\"text-decoration: underline;\">UV/ultraviolet</span> light «of longer wavelength than absorbed by O<sub>2</sub>»     <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">NO (g) + O<sub>3</sub> (g) → NO<sub>2</sub> (g) + O<sub>2</sub> (g)       <strong>[✔]</strong><br/>NO<sub>2</sub> (g) + O<sub>3</sub> (g) <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">→</span> NO (g) + 2O<sub>2</sub> (g)     <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note</strong>: Ignore radical signs.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept equilibrium arrows.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Award <strong>[1 max]</strong> for NO<sub>2</sub> (g) + O (g) <span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-size: 14px;font-variant: normal;font-weight: 400;text-decoration: none;display: inline;white-space: normal;float: none;background-color: #ffffff;\">→</span> NO (g) + O<sub>2</sub> (g).</span></em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">mass spectrometry/MS     </span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">« <span class=\"mjpage\"><math alttext=\"\\frac{{(98 \\times 14) + (2 \\times 15)}}{{100}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mo stretchy=\"false\">(</mo>\n<mn>98</mn>\n<mo>×</mo>\n<mn>14</mn>\n<mo stretchy=\"false\">)</mo>\n<mo>+</mo>\n<mo stretchy=\"false\">(</mo>\n<mn>2</mn>\n<mo>×</mo>\n<mn>15</mn>\n<mo stretchy=\"false\">)</mo>\n</mrow>\n<mrow>\n<mn>100</mn>\n</mrow>\n</mfrac>\n</math></span> =» 14.02    <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«M<sub>r</sub> = (14.02 × 2) + 16.00 =» 44.04    <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Any two</em>:</span></p>\n<p><span style=\"background-color: #ffffff;\">same <em><strong>AND</strong> </em>have same nuclear charge /number of protons/Z<sup><sub>eff</sub></sup>      <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">same <em><strong>AND</strong> </em>neutrons do not affect attraction/ionization energy/Z<sup><sub>eff</sub></sup><br/><em><strong>OR</strong></em><br/>same <em><strong>AND</strong> </em>neutrons have no charge       <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</span></span></p>\n<p><span style=\"background-color: #ffffff;\">same <em><strong>AND</strong> </em>same attraction for «outer» electrons     <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</span></span></p>\n<p><span style=\"background-color: #ffffff;\">same <em><strong>AND</strong> </em>have same electronic configuration/shielding     <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</span></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-variant: normal;font-weight: bold;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\">Note: </span>Accept “almost the same”.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">“Same” only needs to be stated once.</span></em></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Nitrogen and carbon:</em></span></p>\n<p><span style=\"background-color: #ffffff;\">N has greater nuclear charge/«one» more proton «and electrons both lost from singly filled p-orbitals»    <strong>[✔]</strong><br/></span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\"><em>Nitrogen and oxygen:</em></span></p>\n<p><span style=\"background-color: #ffffff;\">O has a doubly filled «p-»orbital<br/><em><strong>OR</strong></em><br/>N has only singly occupied «p-»orbitals     <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">Note: </strong>Accept “greater e– <sup>-</sup> e<sup>-</sup> repulsion in O” or “lower <span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\">e– </span><sup style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">-</sup><span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\"> e</span><sup style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">-</sup> repulsion in N”.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept box annotation of electrons for M2.</span></em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">delocalization</span></p>\n<p><span style=\"background-color: #ffffff;\">OR</span></p>\n<p><span style=\"background-color: #ffffff;\">delocalized <em>π</em>-electrons    <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept “resonance”.</span></em></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">linear <em><strong>AND</strong> </em>2 electron domains</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em></span></p>\n<p><span style=\"background-color: #ffffff;\">linear <em><strong>AND</strong> </em>2 regions of electron density    <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept “two bonds </span><span style=\"background-color: #ffffff;\"><strong>AND</strong></span> <span style=\"background-color: #ffffff;\">no lone pairs” for reason.</span></em></p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">sp     <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">d(iii).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Candidates sometimes failed to identify how ozone works in chemical terms, referring to protects/deflects, <em>i.e.</em>, the consequence rather than the mechanism.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates recalled the first equation for NO catalyzed decomposition of ozone only. Some considered other radical species.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>All candidates, with very few exceptions, answered this correctly.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates were able to calculate the accurate mass of N<sub>2</sub>O, though quite a few candidates just calculated the mass of N and didn’t apply it to N<sub>2</sub>O, losing an accessible mark.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many students realized that neutrons had no charge and could not affect IE significantly, but many others struggled a lot with this question since they considered that <sup>15</sup>N would have a higher IE because they considered the greater mass of the nucleus would result in an increase of attraction of the electrons.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Mixed responses here; the explanation of higher IE for N with respect to C was less well explained, though it should have been the easiest. It was good to see that most candidates could explain the difference in IE of N and O, either mentioning paired/unpaired electrons or drawing box diagrams.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates identified resonance for this given Lewis representation.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Though quite a number of candidates suggested a linear shape correctly, they often failed to give a complete correct explanation, just mentioning the absence of lone pairs but not two bonds, instead of referring to electron domains.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Hybridisation of the N atom was correct in most cases.</p>\n<div class=\"question_part_label\">d(iii).</div>\n</div>",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "reactivity-1-4-entropy-and-spontaneity",
      "structure-1-2-the-nuclear-atom",
      "structure-1-3-electron-configurations",
      "structure-2-2-the-covalent-model",
      "structure-3-1-the-periodic-table-classification-of-elements",
      "structure-3-2-functional-groups-classification-of-organic-compounds"
    ]
  },
  {
    "question_id": "19M.2.HL.TZ2.4",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Rhenium, Re, was the last element with a stable isotope to be isolated.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Before its isolation, scientists predicted the existence of rhenium and some of its properties.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">One chloride of rhenium has the empirical formula ReCl<sub>3</sub>.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Rhenium forms salts containing the perrhenate(VII) ion, ReO<sub>4</sub><sup>−</sup>.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The stable isotope of rhenium contains 110 neutrons.</span></p>\n<p><span style=\"background-color: #ffffff;\">State the nuclear symbol notation <span class=\"mjpage\"><math alttext=\"{}_{\\text{Z}}^{\\text{A}}{\\text{X}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<msubsup>\n<mrow>\n</mrow>\n<mrow>\n<mtext>Z</mtext>\n</mrow>\n<mrow>\n<mtext>A</mtext>\n</mrow>\n</msubsup>\n<mrow>\n<mtext>X</mtext>\n</mrow>\n</math></span> for this isotope.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Suggest the basis of these predictions.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">A scientist wants to investigate the catalytic properties of a thin layer of rhenium </span><span style=\"background-color: #ffffff;\">metal on a graphite surface.<br/></span></p>\n<p><span style=\"background-color: #ffffff;\">Describe an electrochemical process to produce a layer of rhenium on graphite.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Predict <strong>two</strong> other chemical properties you would expect rhenium to have, given its position in the periodic table.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Describe how the relative reactivity of rhenium, compared to silver, zinc, and copper, can be established using pieces of rhenium and solutions of these metal sulfates.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State the name of this compound, applying IUPAC rules.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Calculate the percentage, by mass, of rhenium in ReCl<sub>3</sub>.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Suggest why the existence of salts containing an ion with this formula could be predicted. Refer to section 6 of the data booklet.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Deduce the coefficients required to complete the half-equation.</span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">ReO<sub>4</sub><sup>−</sup> (aq) + ____H<sup>+</sup> (aq) + ____e<sup>−</sup> ⇌ [Re(OH)<sub>2</sub>]<sup>2+</sup> (aq) + ____H<sub>2</sub>O (l)        E<sup>θ</sup> = +0.36 V</span></span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Predict, giving a reason, whether the reduction of ReO<sub>4</sub><sup>−</sup> to [Re(OH)<sub>2</sub>]<sup>2+</sup> would oxidize Fe<sup>2+</sup> to Fe<sup>3+</sup> in aqueous solution. Use section 24 of the data booklet.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e(iii).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><span class=\"mjpage\"><math alttext=\"{}_{{\\text{75}}}^{{\\text{185}}}{\\text{Re}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<msubsup>\n<mrow>\n</mrow>\n<mrow>\n<mrow>\n<mtext>75</mtext>\n</mrow>\n</mrow>\n<mrow>\n<mrow>\n<mtext>185</mtext>\n</mrow>\n</mrow>\n</msubsup>\n<mrow>\n<mtext>Re</mtext>\n</mrow>\n</math></span>    <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">gap in the periodic table<br/><em><strong>OR</strong></em><br/>element with atomic number «75» unknown<br/><em><strong>OR</strong></em><br/>break/irregularity in periodic trends     <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«periodic table shows» regular/periodic trends «in properties»      <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">electrolyze «a solution of /molten» rhenium salt/Re<sup>n+</sup>     <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">graphite as cathode/negative electrode<br/>OR<br/>rhenium forms at cathode/negative electrode     <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept “using rhenium anode” for M1.</span></em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Any two of:</em><br/>variable oxidation states<span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">     </span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">forms complex ions/compounds<span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">     </span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">coloured compounds/ions<span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">     </span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«para»magnetic compounds/ions     <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept other valid responses related to its <strong>chemical</strong> metallic properties.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Do <strong>not</strong> accept “catalytic properties”.</span></em></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">place «pieces of» Re into each solution    <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">if Re reacts/is coated with metal, that metal is less reactive «than Re»    <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept other valid observations such as “colour of solution fades” or “solid/metal appears” for “reacts”.</span></em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">rhenium(III) chloride<br/><em><strong>OR</strong></em><br/>rhenium trichloride    <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«M<sub>r</sub> ReCl<sub>3</sub> = 186.21 + (3 × 35.45) =» 292.56    <strong>[✔]</strong><br/>«100 × <span class=\"mjpage\"><math alttext=\"\\frac{{186.21}}{{292.56}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mn>186.21</mn>\n</mrow>\n<mrow>\n<mn>292.56</mn>\n</mrow>\n</mfrac>\n</math></span> =» 63.648 «%» <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">  </span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">same group as Mn «which forms M</span>n<span style=\"background-color: #ffffff;\">O<sub>4</sub><sup>-</sup>»<br/><em><strong>OR</strong></em><br/>in group 7/has 7 valence electrons, so its «highest» oxidation state is +7    <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">ReO</span><sub style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">4</sub><sup style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">−</sup><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\"> (aq) + 6H</span><sup style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">+</sup><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\"> (aq) + 3e</span><sup style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">−</sup> <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">⇌</span><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\"> [Re(OH)</span><sub style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">2</sub><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">]</span><sup style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">2+</sup><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\"> (aq) + 2H</span><sub style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">2</sub><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">O (l)    <strong>[<span style=\"background-color: #ffffff;\">✔]</span></strong></span></p>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">no <em><strong>AND</strong> <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">ReO</span><sub style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">4</sub><sup style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">−</sup></em> is a weaker oxidizing agent than Fe<sup>3+</sup><br/><em><strong>OR</strong></em><br/>no <em><strong>AND</strong> </em>Fe<sup>3+</sup> is a stronger oxidizing agent than <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">ReO</span><sub style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">4</sub><sup style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">−</sup><br/><em><strong>OR</strong></em><br/>no <em><strong>AND</strong> </em>Fe<sup>2+</sup> is a weaker reducing agent than <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[Re(OH)</span><sub style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">2</sub><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">]</span><sup style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">2+</sup><br/><em><strong>OR</strong></em><br/>no <em><strong>AND</strong> <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[Re(OH)</span><sub style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">2</sub><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">]</span><sup style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">2+</sup></em> is a stronger reducing agent than Fe<sup>2+</sup><br/><em><strong>OR</strong></em><br/>no <em><strong>AND</strong> </em>cell emf would be negative/–0.41 V     <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">e(iii).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>It was expected that this question would be answered correctly by all HL candidates. However, many confused the A-Z positions or calculated very unusual numbers for A, sometimes even with decimals.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This is a NOS question which required some reflection on the full meaning of the periodic table and the wealth of information contained in it. But very few candidates understood that they were being asked to explain periodicity and the concept behind the periodic table, which they actually apply all the time. Some were able to explain the “gap” idea and other based predictions on properties of nearby elements instead of thinking of periodic trends. A fair number of students listed properties of transition metals in general.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Generally well done; most described the cell identifying the two electrodes correctly and a few did mention the need for Re salt/ion electrolyte.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Generally well answered though some students suggested physical properties rather than chemical ones.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates chose to set up voltaic cells and in other cases failed to explain the actual experimental set up of Re being placed in solutions of other metal salts or the reaction they could expect to see.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Almost all candidates were able to name the compound according to IUPAC.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates were able to answer this stoichiometric question correctly.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This should have been a relatively easy question but many candidates sometimes failed to see the connection with Mn or the amount of electrons in its outer shell.</p>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Surprisingly, a great number of students were unable to balance this simple half-equation that was given to them to avoid difficulties in recall of reactants/products.</p>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many students understood that the oxidation of Fe<sup>2+</sup> was not viable but were unable to explain why in terms of oxidizing and reducing power; many students simply gave numerical values for <em>E</em><sup>Θ</sup> often failing to realise that the oxidation of Fe<sup>2+</sup> would have the inverse sign to the reduction reaction.</p>\n<div class=\"question_part_label\">e(iii).</div>\n</div>",
    "topics": [
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-3-classification-of-matter",
      "tools"
    ],
    "subtopics": [
      "reactivity-3-2-electron-transfer-reactions",
      "structure-1-2-the-nuclear-atom",
      "structure-1-4-counting-particles-by-mass-the-mole",
      "structure-3-1-the-periodic-table-classification-of-elements",
      "structure-3-2-functional-groups-classification-of-organic-compounds",
      "tool-1-experimental-techniques"
    ]
  },
  {
    "question_id": "19M.2.HL.TZ2.5",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Carbonated water is produced when carbon dioxide is dissolved in water under pressure. The following equilibria are established.</span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Equilibrium (1)  CO<sub>2</sub> (g) <img alt=\"\" height=\"25\" src=\"../assets/uploads/tinymce_asset/asset/5986/5.PNG\" width=\"64\"/> CO<sub>2</sub> (aq)</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Equilibrium (2)  CO<sub>2</sub> (aq) + H<sub>2</sub>O (l) <img height=\"14\" src=\"data:image/png;base64,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\" width=\"49\"/> H<sup>+</sup> (aq) + HCO<sub>3</sub><sup>−</sup> (aq)</span></span></span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Carbon dioxide acts as a weak acid.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Soda water has sodium hydrogencarbonate, NaHCO<sub>3</sub>, dissolved in the carbonated water.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Distinguish between a weak and strong acid.</span></p>\n<p><span style=\"background-color: #ffffff;\">Weak acid: </span></p>\n<p><span style=\"background-color: #ffffff;\">Strong acid: </span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The hydrogencarbonate ion, produced in Equilibrium (2), can also act as an acid.</span></p>\n<p><span style=\"background-color: #ffffff;\">State the formula of its conjugate base.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">When a bottle of carbonated water is opened, these equilibria are disturbed.</span></p>\n<p><span style=\"background-color: #ffffff;\">State, giving a reason, how a decrease in pressure affects the position of Equilibrium (1).</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">At 298 K the concentration of aqueous carbon dioxide in carbonated water is 0.200 mol dm<sup>−3</sup> and the pK<sub>a</sub> for Equilibrium (2) is 6.36.</span></p>\n<p><span style=\"background-color: #ffffff;\">Calculate the pH of carbonated water.</span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Identify the type of bonding in sodium hydrogencarbonate.</span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Between sodium and hydrogencarbonate:</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Between hydrogen and oxygen in hydrogencarbonate:</span></span></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Predict, referring to Equilibrium (2), how the added sodium hydrogencarbonate affects the pH.(Assume pressure and temperature remain constant.)</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">100.0cm<sup>3</sup> of soda water contains 3.0 × 10<sup>−2</sup>g NaHCO<sub>3</sub>.</span></p>\n<p><span style=\"background-color: #ffffff;\">Calculate the concentration of NaHCO<sub>3</sub> in mol dm<sup>−3</sup>.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The uncertainty of the 100.0cm<sup>3</sup> volumetric flask used to make the solution was ±0.6cm<sup>3</sup>.</span></p>\n<p><span style=\"background-color: #ffffff;\">Calculate the maximum percentage uncertainty in the mass of NaHCO<sub>3</sub> so that the concentration of the solution is correct to ±1.0 %.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The reaction of the hydroxide ion with carbon dioxide and with the hydrogencarbonate ion can be represented by Equations 3 and 4.</span></p>\n<p><span style=\"background-color: #ffffff;\">Equation (3)     OH<sup>−</sup> (aq) + CO<sub>2</sub> (g) → HCO<sub>3</sub><sup>−</sup> (aq)<br/>Equation (4)     OH<sup>−</sup> (aq) + HCO</span><sub>3</sub><sup>−</sup><span style=\"background-color: #ffffff;\"> (aq) → H<sub>2</sub>O (l) + CO<sub>3</sub><sup>2−</sup> (aq)<br/></span></p>\n<p><span style=\"background-color: #ffffff;\">Discuss how these equations show the difference between a Lewis base and a Brønsted–Lowry base.</span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\">Equation (3):</span></p>\n<p><span style=\"background-color: #ffffff;\">Equation (4):</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Aqueous sodium hydrogencarbonate has a pH of approximately 7 at 298 K.</span></p>\n<p><span style=\"background-color: #ffffff;\">Sketch a graph of pH against volume when 25.0cm<sup>3</sup> of 0.100 mol dm<sup>−3</sup> NaOH (aq) is gradually added to 10.0cm<sup>3</sup> of 0.0500 mol dm<sup>−3</sup> NaHCO<sub>3</sub> (aq).</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"344\" src=\"data:image/png;base64,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\" width=\"569\"/></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">f.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Weak acid:</em> partially dissociated/ionized «in aqueous solution/water»<br/><em><strong>AND</strong></em><br/><em>Strong acid</em>: «assumed to be almost» completely/100 % dissociated/ionized «in aqueous solution/water»    <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">CO<sub>3</sub><sup>2-</sup>    <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">shifts to left/reactants <em><strong>AND</strong> </em>to increase amount/number of moles/molecules of gas/CO<sub>2</sub> (g)    <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept “shifts to left/reactants <strong>AND</strong> to increase pressure”.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«K<sub>a</sub> =» 10<sup>–6.36</sup>/4.37 × 10<sup>–7</sup> = <span class=\"mjpage\"><math alttext=\"\\frac{{{{[{{\\text{H}}^ + }]}^2}}}{{[{\\text{C}}{{\\text{O}}_2}]}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mrow>\n<msup>\n<mrow>\n<mo stretchy=\"false\">[</mo>\n<mrow>\n<msup>\n<mrow>\n<mtext>H</mtext>\n</mrow>\n<mo>+</mo>\n</msup>\n</mrow>\n<mo stretchy=\"false\">]</mo>\n</mrow>\n<mn>2</mn>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mo stretchy=\"false\">[</mo>\n<mrow>\n<mtext>C</mtext>\n</mrow>\n<mrow>\n<msub>\n<mrow>\n<mtext>O</mtext>\n</mrow>\n<mn>2</mn>\n</msub>\n</mrow>\n<mo stretchy=\"false\">]</mo>\n</mrow>\n</mfrac>\n</math></span><br/><em><strong>OR</strong></em><br/>«K<sub>a</sub> =» 10<sup>–6.36</sup>/4.37 × 10<sup>–7</sup> = <span class=\"mjpage\"><math alttext=\"\\frac{{{{[{{\\text{H}}^ + }]}^2}}}{{0.200}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mrow>\n<msup>\n<mrow>\n<mo stretchy=\"false\">[</mo>\n<mrow>\n<msup>\n<mrow>\n<mtext>H</mtext>\n</mrow>\n<mo>+</mo>\n</msup>\n</mrow>\n<mo stretchy=\"false\">]</mo>\n</mrow>\n<mn>2</mn>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mn>0.200</mn>\n</mrow>\n</mfrac>\n</math></span>  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\">[H<sup>+</sup>] « <span class=\"mjpage\"><math alttext=\"\\sqrt {0.200 \\times 4.37 \\times {{10}^{ - 7}}} \" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<msqrt>\n<mn>0.200</mn>\n<mo>×</mo>\n<mn>4.37</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>7</mn>\n</mrow>\n</msup>\n</mrow>\n</msqrt>\n</math></span>  » = 2.95 × 10<sup>–4</sup> «mol dm<sup>–3</sup>» <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">    </span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong><br/>«pH =» 3.53 <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">    </span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">Note: </strong>Award <strong>[3]</strong> for correct final answer.</span></em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Between sodium and hydrogencarbonate:</em><br/>ionic    <strong>[✔]</strong><br/></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>Between hydrogen and oxygen in hydrogencarbonate:</em><br/>«polar» covalent     <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«additional HCO<sub>3</sub><sup>-</sup>» shifts position of equilibrium to left   <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">pH increases   <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">Note: </strong>Do <strong>not</strong> award M2 without any justification in terms of equilibrium shift in M1.</span></em></p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«molar mass of NaHCO<sub>3</sub> =» 84.01 «g mol<sup>-1</sup>»    <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«concentration = <span class=\"mjpage\"><math alttext=\"\\frac{{3.0 \\times {{10}^{ - 2}}{\\text{g}}}}{{84.01{\\text{ g mo}}{{\\text{l}}^{ - 1}}}} \\times \\frac{1}{{0.100{\\text{ d}}{{\\text{m}}^3}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mn>3.0</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>2</mn>\n</mrow>\n</msup>\n</mrow>\n<mrow>\n<mtext>g</mtext>\n</mrow>\n</mrow>\n<mrow>\n<mn>84.01</mn>\n<mrow>\n<mtext> g mo</mtext>\n</mrow>\n<mrow>\n<msup>\n<mrow>\n<mtext>l</mtext>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>1</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n<mo>×</mo>\n<mfrac>\n<mn>1</mn>\n<mrow>\n<mn>0.100</mn>\n<mrow>\n<mtext> d</mtext>\n</mrow>\n<mrow>\n<msup>\n<mrow>\n<mtext>m</mtext>\n</mrow>\n<mn>3</mn>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n</math></span> =» 3.6 × 10<sup>–3</sup> «mol dm<sup>-3</sup>»     <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Award <strong>[2]</strong> for correct final answer.</span></em></p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«1.0 – 0.6 = ± » 0.4 «%»    <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Equation (3):</em><br/>OH<sup>-</sup> donates an electron pair <em><strong>AND</strong> </em>acts as a Lewis base     <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>Equation (4):</em><br/>OH<sup>-</sup> accepts a proton/H<sup>+</sup>/hydrogen ion <em><strong>AND</strong> </em>acts as a Brønsted–Lowry base <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">     </span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"358\" 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\" width=\"579\"/></p>\n<p><span style=\"background-color: #ffffff;\">S-shaped curve from ~7 to between 12 and 14     <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">equivalence point at 5 cm<sup>3</sup>     <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept starting point &gt;6~7.</span></em></p>\n<div class=\"question_part_label\">f.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>As expected, many candidates were able to distinguish between strong and weak acids; some candidates referred to “dissolve” rather than dissociate.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>More than half the candidates were able to deduce that carbonate was the conjugate base but a significant proportion of those that did, wrote the carbonate ion with an incorrect charge.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many students gave generic responses referring to a correct shift without conveying the idea of compensation or restoration of pressure or moles of gas. This generic reply reflects the difficulty in applying a theoretical concept to the practical situation described in the question.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates calculated the pH of the aqueous CO<sub>2</sub>. Some candidates attempted to use the Henderson-Hasselback equation and others used the quadratic expression to calculate [H<sup>+</sup>] (these two options were very common in the Spanish scripts) getting incorrect solutions. These answers usually ended in pH of approx. 1 which candidates should realize cannot be correct for soda water.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was an easy question, especially the identification of the type of bond between H and O, yet some candidates interpreted that the question referred to intermolecular bonding.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A significant number of candidates omitted the “equilibrium” involved in the dissolution of a weak base.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This is another stoichiometry question that most candidates were able to solve well, with occasional errors when calculating <em>M</em><sub>r</sub> of hydrogen carbonate.</p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Mixed responses, more attention should be given to this simple calculation which is straightforward and should be easy as required for IA reports.</p>\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a good way to test this topic because answers showed that, while candidates usually knew the topic in theory, they could not apply this to identify the Lewis and Bronsted-Lowry bases in the context of a reaction that was given to them. In some cases, they failed to specify the base, OH<sup>-</sup> or also lost marks referring just to electrons, an electron or H instead of hydrogen ions or H<sup>+</sup> for example.</p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most students that got 1mark for this titration curve was for the general shape, because few realized they had the data to calculate the equivalence point. There were also some difficulties in establishing the starting point even if it was specified in the stem.</p>\n<div class=\"question_part_label\">f.</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-2-models-of-bonding-and-structure",
      "tools"
    ],
    "subtopics": [
      "reactivity-2-3-how-far-the-extent-of-chemical-change",
      "reactivity-3-1-proton-transfer-reactions",
      "reactivity-3-4-electron-pair-sharing-reactions",
      "structure-1-4-counting-particles-by-mass-the-mole",
      "structure-2-1-the-ionic-model",
      "structure-2-2-the-covalent-model",
      "tool-2-technology",
      "tool-3-mathematics"
    ]
  },
  {
    "question_id": "19M.2.HL.TZ2.6",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Phenylethene can be polymerized to form polyphenylethene (polystyrene, PS).</span></p>\n<p><span style=\"background-color: #ffffff;\"><img alt=\"\" height=\"190\" src=\"../assets/uploads/tinymce_asset/asset/5990/6.PNG\" width=\"187\"/></span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">The major product of the reaction with hydrogen bromide is C<sub>6</sub>H<sub>5</sub>–CHBr–CH<sub>3</sub> and the minor product is C<sub>6</sub>H<sub>5</sub>–CH<sub>2</sub>–CH<sub>2</sub>Br.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Draw the repeating unit of polyphenylethene.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Phenylethene is manufactured from benzene and ethene in a two-stage process. The overall reaction can be represented as follows with ΔG<sup>θ</sup> = +10.0 kJ mol<sup>−1</sup> at 298 K.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img alt=\"\" height=\"174\" src=\"../assets/uploads/tinymce_asset/asset/5991/6b.PNG\" width=\"593\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Calculate the equilibrium constant for the overall conversion at 298 K, using section 1 of the data booklet.</span></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The benzene ring of phenylethene reacts with the nitronium ion, NO<sub>2</sub><sup>+</sup>, and the C=C double bond reacts with hydrogen bromide, HBr.</span></p>\n<p><span style=\"background-color: #ffffff;\">Compare and contrast these two reactions in terms of their reaction mechanisms.</span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\">Similarity: </span></p>\n<p><span style=\"background-color: #ffffff;\">Difference:</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Outline why the major product, C<sub>6</sub>H<sub>5</sub>–CHBr–CH<sub>3</sub>, can exist in two forms and state the relationship between these forms.</span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\">Two forms: </span></p>\n<p><span style=\"background-color: #ffffff;\">Relationship:</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The minor product, C<sub>6</sub>H<sub>5</sub>–CH<sub>2</sub>–CH<sub>2</sub>Br, can exist in different conformational forms (isomers).</span></p>\n<p><span style=\"background-color: #ffffff;\">Outline what this means.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The minor product, C<sub>6</sub>H<sub>5</sub>–CH<sub>2</sub>–CH<sub>2</sub>Br, can be directly converted to an intermediate compound, <strong>X</strong>, which can then be directly converted to the acid C<sub>6</sub>H<sub>5</sub>–CH<sub>2</sub>–COOH.</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\">C<sub>6</sub>H<sub>5</sub>–CH<sub>2</sub>–CH<sub>2</sub>Br → <strong>X</strong> → C<sub>6</sub>H<sub>5</sub>–CH<sub>2</sub>–COOH</span></p>\n<p><span style=\"background-color: #ffffff;\">Identify <strong>X</strong>.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"187\" src=\"data:image/png;base64,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\" width=\"286\"/>       <strong>[<span style=\"background-color: #ffffff;\">✔]</span></strong></p>\n<p> </p>\n<p><em><strong><span style=\"background-color: #ffffff;\">Note: </span></strong><span style=\"background-color: #ffffff;\">Do <strong>not</strong> penalize the use of brackets and “n”. </span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Do <strong>not</strong> award the mark if the continuation bonds are missing.</span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">ln<em> k</em> «= <span class=\"mjpage\"><math alttext=\" - \\frac{{10000}}{{8.31 \\times 298}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mo>−</mo>\n<mfrac>\n<mrow>\n<mn>10000</mn>\n</mrow>\n<mrow>\n<mn>8.31</mn>\n<mo>×</mo>\n<mn>298</mn>\n</mrow>\n</mfrac>\n</math></span> » = –4.04     <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>k</em> = 0.0176   <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">    </span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong>    </span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note</strong>: Award<strong> [2]</strong> for correct final answer.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Similarity: </em><br/>«both» involve an electrophile<br/><em><strong>OR</strong></em><br/>«both» electrophilic      <strong>[✔]</strong><br/></span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\"><em>Difference</em>:<br/>first/reaction of ring/with NO<sub>2</sub><sup>+</sup> is substitution/S<sub>«E»</sub> <em><strong>AND</strong> </em>second/reaction of C=C/with HBr is addition/A<sub>«E»</sub> <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">     </span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">Note: </strong>Answer must state which is substitution and which is addition for M2.</span></em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Two forms:</em><br/>chiral/asymmetric carbon<br/><em><strong>OR</strong></em><br/>carbon atom attached to 4 different groups      <strong>[✔]</strong><br/></span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\"><em>Relationship</em>:<br/>mirror images<br/><em><strong>OR</strong></em><br/>enantiomers/optical isomers      <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept appropriate diagrams for either or both marking points.</span></em></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">benzene ring «of the C<sub>6</sub>H<sub>5</sub>–CH<sub>2</sub>» and the bromine «on the CH<sub>2</sub>–Br» can take up different relative positions by rotating about the «C–C, <em>σ</em>–»bond      <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept “different parts of the molecule can rotate relative to each other”.<br/></span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept “rotation around σ<span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\">–</span>bond”.</span></em></p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">C<sub>6</sub>H<sub>5</sub>–CH<sub>2</sub>–CH<sub>2</sub>OH     <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">e.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates were able to draw the monomer correctly. Some candidates made careless mistakes writing C<sub>6</sub>H<sub>6</sub>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Another calculation which most candidates were able to work out, though some failed to convert Δ<em>G</em> given value in kJ mol<sup>-1</sup> to J mol<sup>-1</sup> or forgot the negative sign. Some used an inappropriate expression of <em>R</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The strong candidates were generally able to see the similarity between the two reactions but unexpectedly some could not identify “electrophilic” as a similarity even if they referred to the differences as electrophilic substitution/addition, so probably were unable to understand what was being asked.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Candidates were given the products of the addition reaction and asked about the major product. Perhaps they were put off by the term “forms” and thus failed to “see” the chiral C that allowed the existence of enantiomers. There was some confusion with the type of isomerism and some even suggested cis/trans isomers.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>If candidates seemed rather confused in the previous question, they seemed more so in this one. Most simply referred to isomers in general, not seeming to be slightly aware of what conformational isomerism is, even if it is in the curriculum.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Quite well answered though some candidates suggested an aldehyde rather than the alcohol, or forgot that C has two hydrogens apart from the -OH. In other cases, they left a Br there.</p>\n<div class=\"question_part_label\">e.</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "reactivity-2-3-how-far-the-extent-of-chemical-change",
      "reactivity-3-2-electron-transfer-reactions",
      "reactivity-3-4-electron-pair-sharing-reactions",
      "structure-2-2-the-covalent-model",
      "structure-2-4-from-models-to-materials",
      "structure-3-2-functional-groups-classification-of-organic-compounds"
    ]
  },
  {
    "question_id": "19M.2.SL.TZ1.1",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Xylene is a derivative of benzene. One isomer is 1,4-dimethylbenzene.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"124\" src=\"data:image/png;base64,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\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"314\"/></span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Bromine reacts with alkanes.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State the number of 1H NMR signals for this isomer of xylene and the ratio in which they appear.</span></p>\n<p><span style=\"background-color: #ffffff;\">Number of signals:</span><span style=\"background-color: #ffffff;\"><br/></span></p>\n<p><span style=\"background-color: #ffffff;\">Ratio:</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Draw the structure of one other isomer of xylene which retains the benzene ring.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Identify the initiation step of the reaction and its conditions.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">1,4-dimethylbenzene reacts as a substituted alkane. Draw the structures of the two products of the overall reaction when one molecule of bromine reacts with one molecule of 1,4-dimethylbenzene.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Number of signals:<br/>2  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">Ratio:<br/>3 : 2<br/><em><strong>OR</strong></em><br/>6 : 4 <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">Note: </strong>Accept any correct integer or fractional ratio. </span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept ratios in reverse order.</span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"134\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAacAAACwCAYAAACrS6EPAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAACOUSURBVHhe7Z1/iBZXmu+Pw/5xI7IkJsOgN3FmDKgZZJIwUQIaIpfcDsMOKBr/SMi2EDvZYa4R/COaqIMJxCA2ZEAdGCYKo+tNFpwWZeeSKMoaopCY3qgXmaTDnYxE6d0Qf5Bk6LA7uHXfz+l6uqvLeqvqfft9663q9/uB09Vv1amqU1XnPN9znnPq1LSghhNCCCFKxHfCpRBCCFEaJE5CCCFKh8RJCCFE6ZA4CSGEKB0aECGEEGKM69evu6tXr/r/77rrLjdz5kz/f9Go5SSEEMJduXLFbdy40d15551u/vz5PvA/67799tswlnOffvqpmzZtmjt8+HC4ZiLEZ/tkkTgJIUSXg/isW7fO9ff3u+3bt7tjx465gYEB19fX59etX78+jFkcEichhOhyEJ+jR496Udq8ebPr6elxK1eudG+88YZbvny527t3rztz5kwYuxgkTkII0cWcP3/eiw8tJkQpzs6dO93+/fvdd7/73XBNMUichBCii/nss8/8csGCBX4ZZ968ea63t9cvowwPD/v+p3i4ceNGGGNyaLSeEEJ0MQxsWLVqlRsaGrpFgJJAgBgskcVkpUUtJyGEEO7LL78M/8vH7t27vaDFA4Mo4hw/ftyP4iPgRsyDxEkIIbqYGTNm+OUXX3zhl3EYyUfrihZTlNmzZ/uWVjzccccdYYxREKatW7e6xx57zM2ZM8c9+OCDfth6FhInIYToYh566CG/PHDgwIT3mYxDhw55t9/vf//7cE1jDA4OuldffdUPtmC4Opw9e9Yv05A4CSFEF8MMELzTxFDybdu2TRAoXHBr1qzx/z/xxBN+2Sg2NJ3W0p49e/y6xYsX+2UaEichhOhyeKeJoeS8cDt9+nT37LPPegHBBQeIFy67yUCr6fnnn/d9UpwjC43WE0II4VtM7733njtx4kS4xrnbb7/dt5iiwkQLaNeuXf7l3CVLloRrx8E9ePHiRf9+VBzm7XvmmWd8/5O5+OohcRJCCNE2GEyxcOHCMYHDtXfhwgU/+0QacusJIYRoG7ysyxByWk2M+KNltXr16nBrfSROQggh2sZTTz3lpz5ihvOnn37azzbxyCOPhFvrI7eeEEKICfDJi1ZLAy2n2267zYc8SJyEEEJMoB3i1Chy6wkhhCgdEichhBClQ+IkhBCidEichBBClA6JkxBCiNIhcRJCCFE6JE5CCCFKh8RJCCFE6ZA4CSGEKB0SJyGEEKVD4iSEEKJ0SJyEEEKUDomTEEKI0iFxEkIIUTokTkIIIUqHxEkIIUTpkDgJIYQoHRInIYQQpUPiJIQQonRMCzr9oXghKsS3337r3nvvPffpp5+6zz//3C1cuNA9/PDDbt68eWGMUc6cOeO++OILt3LlynDNOOx78eJFt2zZMjdz5sxwrRDlYdq0aa7T0iBxEiInV65c8WLz4YcfhmvG2b17t1u3bl34y7mNGze6/v7+xAJ++PBht2rVKjc0NHSLqAlRBsogTnLrCZGDqDAdO3bMXbt2zRfec+fOueXLl7vnn3/et5aEEK1B4iREDnbt2jUmTD09PWPuuAceeMC9/PLL/n9aSkKI1iBxEiID+pkQHlpICFMcBAoX3VtvvRWuEUJMFomTEBlcvnzZL9P6h9h22223hb/Goe8pHg4cOBBuFaKclGEogsRJiJwwMq+d0EK7fv16+EuI7kbiJEROGP7dKDt37rwl9Pb2hlvHee2119z06dPdnXfe6Z599lkvVEJ0MxInITIwd96pU6f8MokVK1Z4l10zMMpvy5Ytvt+KUYBffvmlO3ToULhViO5E4iREDniPidF6Sf1FvLd09OhR/3JtM3z/+993p0+f9iJoowC//vprvxSiW+moOPHuyPnz533g/yQo8PW2sZ7tcoGIdrN27VrX19fn1qxZ4wXK8iX/79ixw8exIeWNcvfdd7slS5b4Y+LSGx4e9i0xIYoGW4yLefHixf5FXPIhla+4jSXf1/MUUC7YNun3/oIOcPny5WD58uUMB5kQWMe2KKx/4YUXwl8TYT3bh4aGwjVCtA/y5qJFiybkWQu1lk8YaxTLm0kMDAz4bfF8e+7cuaDWQvPbiCNEkZCHLT9jiy0PE2oVs2BkZCSMmZ6/yddsm2weLrzlxGgk3rSndoirBHcGYfv27d41wja1hEQZoYXz7rvv+lkhagXPB/Iu/US0fKKsX7/e9yElwZx6bLvnnnvCNaPwvhRTIHFcpjdSORBFQStn6dKlrlb58vn5yJEjfvBOTSNcTYjc3r173b59+8LYxVC4OG3atMn77l999VVfECnUhM2bN/ubwLa33347jC1EueBdJkSEShSBvJs0eStCVu+9KOJH34uKu0hmzJjhjYQQRWGzmxw8ePCW/Pziiy/6/Fh0P2ih4oRPHQVGhJLetOcmUGvE3ylEt8Cs5hgHROr48eNu69atvuKW9FKvEK0GbxZeK/pUkypUiNXZs2d9A6JIChUne0+EwpgEN4HaKLXOKIganXLxwHohOgUdxq0Ag4CrkI7kEydOuF/96ldu9erV4VYh2svVq1f98oc//KFfNgJlIB7mz58fbp0chX4yA0HBl46fPu6jrwcXmwX++3ouFCHaBXmzwOIjRFugko+g0O+ft3WEG5rWPp6uOIwnYJZ+ttHYMBgJ+Nlnn+X+jllHhpLzEbZGwA2IEYgH1kehAxnXCMMfCbhIhBBC1IeZSeDPf/6zXyZBqz5pgI71vUZDvMuG/eiqee6559z777/vZ0GhoZJFoeI0d+5cv/zkk0/8Mg4XgSLnSXgSDKTYs2ePf9/kF7/4hXv88cfl+hNCiBToRmHAA+MBkuZ2tBHWiFgzcz9+9NFHfqAbI10ZAUiLyt4NTKNQcaLpyE1gmCJKHIcpW2gq1hOvLL73ve/5UYCMpnrkkUf8ukuXLvmlEEKIZLCbwGjqeAvpzTff9OKCpyqPOy7Offfd52f2twE+jEbleFkUKk4k7re//a1PGKORrFWDGuOC4+17eOKJJ/yyUejHokmJb3Pbtm1eCB966KFwqxBCiCSwm7x3SuvpySef9N0j1kVC/xG2lHf3mgFBs0FuNEoYjUr/VhaF9znRqqFZx9BFWlJ0KuODxAUHDJaY7OAGjsEknbNnz3YjIyPhWiGEEPWgwYBAYZtpKBD4nxYTXS3xUdSNgjDhHrz//vvdhg0bwrX1KXS0XhRaTXSORYeXJ43i4Kbgrksa3cdbzQyuqDf6g3nKGB5Z9Ph80R1otJ6YqiAkVOyZxaQV79uZMGGrX3nllVzH7Jg4tQMmLMSNZ6NFGBzBeyP0cQnRaiROQmSDMCFytMponeWlI0PJ28WCBQu8P5M+J1pV+Ezjw82FEEIUB3YY6LuiQmchayT1lGo5McqEyQm5GfQ3MZycUXuaBka0A7WcxFSmVfnbXIRxslyGHRcnFXBRVZR3xVSm0/l7Srn1hBBCTA0kTkIIIUqHxEkIIUTpkDgJIYQoHRInIYQQpUPiJIQQonRInIQQQpQOiZMQQojSIXESQghROiROQgghSofESQghROmQOAkhhCgdEichmoBPsggh2ofESYgG4Bs0fGF56dKl/jf/Z32XRgjROBInIXJw/fp1/2Xl+fPnuwsXLrhjx475wP+s4yvMxBFCtAZ9z0mIFPiA5dtvv+127NjhPvzwQ/+p6bVr1459JM0+cMlXPhctWuRefPFF99Of/lQfuBSVR99zEqKk8Ln/J5980q1atcotW7bMXb582a1bt26C8PA/69hGHOKyD/sKIZpH4lQw6p8oP3xWeuPGje7BBx/0v0+fPu127tzp7r77bv87CbYR59y5c/43+3IMjiWEaByJUwFQi16xYoVvJtM/wTKpIx1jxrYkiMu2w4cPh2tEq8FFd+DAAXfPPfe4/v5+NzAw4N566y23ZMmSMEY2DzzwgN+HfU+dOuWPRV8VxxZC5Efi1GYYckwt+ujRo2779u3eaPX19bm9e/d6oVJLqhwcP37cPfroo27NmjX+OV27ds2tXLmyqb4j9mHfd955xx+L/iiOzTmEEPmQOLURWkwMOaajfGRkxG3evNkbrTfeeMOLFNBaEp2DygGt2Mcff9zdf//9bmhoyD+nmTNnhjGah2NwLI7JsTkHLWhVSITIRuLURn7961/75cGDB2+pgSNS1KpZiuJh2DfDv6NDw6k0zJs3L4zROjgmx+Ycw8PDGnouRA46OpQcP/z06dN9JzK++qmG9R/lvcW0oujroKYd59KlS77mTYtLgtY8NjScUXWwf/9+t3r16lzuO8Tk6tWr4a+JkI/TBkwYnP/QoUPefQg8Tw09F2WClj12iK4HbFE7Kmy5QJw6Qa0WGSxatAir7cMLL7wQXLt2Ldw6NbDrygtx7X7UCzVjFsYWjXL69Olg+fLl/j5yry9fvhxuSaZWMIOaeOV6LhaIyz7smwZ53Y5LmkibEJ2EPLl9+3afJ7HNZp9Z1wnbXLg4UWjNQPT19QW1VpM3uPwmULBHRkbC2NWG6+Fa82LGinsUD4g526LiRIYx48l2kQwiFBUC8lw9uKfcY8ujBPIp95l7nPRsCGwjDnFtP47BurSCTVrsXKSRYwlRJNhb8ryJ0e7du/06AvnX8jNxirTNhYlTXJXjxjRrexWxh10PDBPBHrgZ0CQwWpZBgH0wauxDBuJcLMU43CMKmuWpqLDHicYlIDK0ZpopjOzDvlGh4thpIpVkHIRoN3m8CeRbs03k0aJa+W0XJwoZBc8KKQY0reBhhK1Qc9OqXJM0Y5cktNwDM0aWIRoRJ0SN+2T3knPxW4wSN/ZpwsDzsbhUkFqZ53i2lg84R1qlizRG46aJqRCTgTxu9gY7m+ZNMIpu5bdVnFBYK/RcTJqBiBM3GI3s2wmsdkGaDQyTXUO0RoKgmBFiH8MySxJxcTI4FpmG83Cfuh3ukxUgxDqtAHHv7J5nxZ0sHNsqXZzTKhVJENfSVfUKmigXUduDzWimAtRIxW8ytEWcogVxMoWLG9lJn2cektIYhWu3bdwLMzoEHnBUtJoRJ37b8fLUfqYqVjmw+5rleohWHOL3tJ3Y84o/+yQmU7kTIg55z/LTZEUlSeRabZtbKk5c7GRVOYlGDU9R5G3dIRpst7iIFPcp/jAROa4zCQwZ25KuPSqQrc4gZYfrNYNPyFNITJgInWiVcE47f5ZAxa8vyy0uRJx2uuPMLnFsztHKCnJLxMkKkBnfJMPbCripdpPb7YZJg/O2omU4GThntP+C36SnU/ekU3APuG4KSJ6aYFSYsoShnTSajmgFrVWVPjG1iQtHOyv1HDsqgK0oW5MWp3YkKotO9UdxHs7HeTl/VByKxsSImgoVAWrUPIduw1oVeWhUENpNM+nhWiVOIg2zB+QVyy9FtLZb3UhpeoYI3iLmDWLeJK4ZRffyyy/nmuWBTwjUEuxnPPjLX/4Srh1l7ty5/k17ZnLOemOeN+2L+sjbZGYVaCfMoG0zDfAMapWDhmbQngowSzvPJSsb8wzXr1/vpypinzyzORQB5YEZP5h7b9euXZl5illHagZAs4SIRJhceOvWrf7DmLWKtPv5z3+eOU8ktvzixYt+aq3PP/88XDuROXPmuNmzZ7uFCxdmzhjBTCpvvvnmBNvcVH5FnBoBJWykX4nWBi0Ma17mDbQCOE+WD5MaZzubrhzPagKcp6hWWl54HmVoBXQK8h/PJgurSbbTtdEspIm0kd+zIF5WmRPdB54U7B/5I6vLA5tBnjMvUDRg45JCPB77coy0lhFpmEz3R0PiFG+ypRlqEh69KBMbhIpEJu3LesSI80T35ZwYl7TztbrTb7I3VhRDHnHi2RGHAlVWzFBk5TPiSJyEgU20vIOdTOtqIC422Gw4S35jq9Nsq0Ec7GzSMdL25/gWH9uc51yQS5waMfzRuCQIUWm2Zm8KHxWqrBsRF9A0ZU+CY7OfpV+GoNzkESfyI8+y0bxQJKSNNJLWNLhW5UlBfrG8T8DO1svf8bjYU+z0ZOEY0dZXI2lIi2uklupGXGYY9bxxmyEuGnlqCBY3T2G2m0d89mtG2ETxWIavB/mQ7Z0cvJIXS2ta2WF7nvwspi7kD7NT2Ny0yjoNCWssELcdHqCo7SddacJH3LwtvcRSjVFG2TgAgcKQZqijNysr7mTh5pq7jRuSdi7iRgWz3k0j/dEH2M19OFUjS5x4roSqkJVeK2Oi+4jaPvJIltBY2cgSjFbBOUwH0I80SDvXQNx6fWS3lGqUzE6AwqWpMpiIcaIijXr0xmedt574xFuGRTxA0VrSxIkMz7YqtJoM0kqa6xketkmcuotmPEEWP6sC32o4l7WMWGadO01vxko1hjpLyeLYDciTiHZgSp1HoEgfD9VuxOrVq/3SHnYn0i8mT5o4Wf6s0rMlraSZtCfBNolT94AdNptFnsjKy2y31lW9PFQEVvZIS540Rz111kgYK9UoLDchzd8dxU7eyRsAiBLpJmQJFKDMW7Zs8Wn/5S9/mdkyFOUmTZzIE1ScqgZpJu1JcK0Sp+7B8nce2wZlscuAlpAWtCUPXGM0f3+n9mOMZcuW5XqJk5cYecGqdgPcunXrwrWdgZcpSQ/wohcvgKXBC2m9vb3+/6effjrzBTVRTXi5lRcRH3300XBNdSDNpJ1rEALyvDTOS/llscuAltRaRH6ihj179oRr6xO/xgnilIfz58/7N/JraliKGwAmUBToTZs2hWtFN/PHP/7RL++77z6/rBKWZrsGIbLALjNbTK3VXRq7DDQESBOiSRoboSFxYgqY5557zk9J8corr4RrywECdezYMT+lkrWkRPfClCzk0yq2jEkzaecahMjC7PLy5cvdhg0bwrXlgTSRNtJIWvPSkDgxlx2tk4MHD3Z8Xrkkenp6fIuOlp1cIt0Nc4Thpq4qpL3ePGdCRDG7vHPnzlLaZdJE2kgjac1LbnGiFmf+zKyJ/zoJkwwCk2iK7oX8evvtt4e/qgdpV8tJZEEfO3YZ11mZ7TJpQztIa958nVuccJfhanjqqafCNeUEl8jAwIDvhFPh7l6OHj3qFixYEP6qHqSdaxAiDWb/BmYfLzumHWhJHnKJEy4yjD0dbVXw4fPpDIQ0700QQoiqYa0mWiRVsMukkbSiJVmjqiGXOB05csQvf/azn/ll2cHHySiRvDdBCCGqxqlTp/xyxYoVflkFrPX0hz/8wS/TyCVOjJ/Hp1kFdTbsgQ0ODvql6D7iH7OsElVOuygG7HJfX1+ud6DKAhpCmvOMqM4UJ/ptGGVRtZcZeWAMXzx06FC4RnQTjNrk655VhbRzDUIkgUeIPkm6MKoGXxEn7VkjqjPFyQp4FV9mZMYI+p0aGVsvpg43btwI/6seVU67aD8ff/yxXy5evNgvq8SPfvQjv8x6yTxTnN5//33fAqmSS8/48Y9/7JeXL1/2S9E9PPzww5UeEEPauQYhkvjTn/7kl1Vy6RmkOc9L5pniRKdbFdUZ5syZ45dVdu+I5pg7d65fVvF1AkuzXYMQcaru9s3zknmmONHfVNX3RarY2hOtYf78+X5Jy79qWJqtciVEHCowVX7JnLzNaOo0UsXJOqxmzJjhl1WEkSFVNFBicvA6Qd5RQWWDNJN2Va5EPar+kvns2bPD/+qTKk4jIyN++YMf/MAvq8gdd9wR/ie6DRsVVCXXHmklzaRdiG4m060nRFV55JFH/PL48eN+WQUsrZZ2IboViZOYsuDas8kmqzBTSHQ6mjLOLi1EkaSK01133eWXly5d8ssqUsXRWqJ12HQpO3bs8Msy85vf/MYvyz65sigHU30WkVRxsg7ZKt8E/Pd6X6R7IQ/bp6Ib/RJnkZC2LVu2+LRqIITIouozoDBIjUE/aWS69XgB95NPPgl/VQtz5VR5tKGYPAwuaOZLnEUR/cK0BkKIPDCM3CZ+rSJ4tLIGq2WKEx+JOnv2bPirWtgUH1UebSgmT/RLnNu2bQvXlgfSRNrK+oVpUT4YRk6eqeJXF6iM5fFoZYoTB+BAVbwJ586d88syfyFSFAN5wD5CuWfPnnBt5yEtpIm0KZ+KvCxcuNAvrQJeJT766CO/tGuoR6Y42dRFVfz0xIkTJzSzc5eQZ+ALEwHb6L0yCBRpsNF5pC0Lu0a9VC6oyOAGfvfdd8M11SFvoyFTnKr66Ql7mfGxxx4L14ipCPPPUUiZrghjn9WnxNecyyBQJkx8J400pcE1EZ9rpDzS0uJ7ZRqJ2t3wQVUG0ZSxH7UepNW+D5hJEFJrYfiQxP79+wOiXrt2LVxTfmoGyKd5ZGQkXDPO0NCQ38ZSVB+esT3vmlAFAwMD4Zb6WHzyfFIeaReci3NybtKQBdfCNVl8yuDp06fH1nGsKpVL0Rg8f55zEmbHjh07Fq4pP+Rd0lxrPYVrJsI2K7+5xInMz055ClMZyEqvxGlqwvM0w19r7Wc+Xyv4GPp6haWVcA4TlSwBJe1cA3H7+vpuuRZEztJvxytSZEUx2DOuB3mEUBWy0hstG7nECaymWYVamqX18uXL4ZqJUNDZnmW8RDVppGURFYGsuM3CMfOKZjQu18C1pNFofFEtssTJWiJVaD1ZWtPyKNsbFicKATumxSkDCBLpTGvlSZymPvGWBa7pei0L1pvrmrB9+/aWtKTIXxwrbxqi6eX/enGTiIus8vbUIEucgOdOxaSR/FI0pI00prWawPK+/9//rZElTmAFuAgXSLPgAuEmpNWAJU7dQyMtC+JSqSEe8SlI5Hnye56CTxziso8JBYFjpuVH0mTnJK1pcbOgYNuxss4ryk8ecTJ7RkWorFglLcvmEqcpcaLwmUqXMdObeGY1cSVO3QfP2gQjqQ8nCvkcwTBRs0C+t3ISDyYIFlhHPkwTNdJAWohP2lqVHzmnubZJlxV2UT3yiBOY7UurfHUK0kTa0rxZBvEsv2YOJY/C2+sMaeXN5E2bNpVqCOOZM2fcmjVr/BDFnp6ecK0Qo/BOxZEjR1xNMNyFCxfGhp4nvVxOPl+yZImfVaJm6F1NNPxLsgzfNhjGfePGjfCX89uIQ1z2YV/yYdKMD5zThoaTFvYjba16CZdzMjydtPA57FWrVvn0lXluQTE5mPaKueqWLl069pHYMkBaNmzY4NO2du3acG1OvETVsBpgHkwJqfWl1QyLghpnI+mx+CxF95HUsigqH3Mua2WRhiLOS3m1ViNlXK6+6kB+4bnlgedK3iLUGwxWJKSh0fRwrVyz/9//rUGmtQ15CozdtE4LFAXPbkCeQocgkWbSLnHqbigwlu8x3u3sS+XYUYEo2nhQRq3MEnADdbLcinzYMyPP5LFXzQhCO2g0HcSJahCMiROG3TZywDy+y6hAdaI2Zi24PDeA9MkPL5KItyxaWaijhY5z5ClX7YRyYJ3TlIMqvcDZrWCreFY8M2xYlq0lzxGf0In8xjnt/FlliQpSPS/GLe1F1NkKKqKTpdZRgShqFB+JtwKW1XJjW/zhpsUX3Uk8n0y2ZcG+1klNiBa6MtBoORedhbzTSOUaUTAPUVE2L5rnyVtZwhS3y3HRrevMpEZlOyIEaWpNIiyjZ8WdLKbKeW46cS1dra4Ri6lJK1oWjZSdThNPaxTKi90LC5SneCUUI8O2egLHNsqfmDzc42hLPK1BgG2050fcdraiom5rzplml+Mu7rr5Jlwmwgnial3vpKyP1hT5v5WFkgvK+1AaeYBCJEEesponeaheAYoS3adKrREru1ynlVmEyUSLa2G7lSlC1NBJnIqnkYp3XAxaKVJRu0x+SbO15K1o3Kx0pIqTwYXbQbnItING4xJQUeKnKWk9OBYZ325sHoFspOkrRBZ5WkGssxoqcZtpbZUJrseuOS44/LbrtHIoceoM3H/uvT2rNE9SPC42lQpHmqjVg32sMmN5IcsuE5+4hLS4UXKJkxFX4LSaIRfAzbKbYfuQSAov+yYFEk5Bt/MQqLllCVz8ISUZESGaoV7hIkTzHXHyFLqywzXZ9SRhZdTKmMWn/CbBNolT+2ikckT+xJZaC9/24fnwHAlJNplAnKg9z2OX81Tu6tGQOBkk1E6YptYGokZGj96QtMCxuRAuLOtiGhFMISZD1CtAnovmu2ZqoGXFrjFvWcIeEL9epdPukWgv3GuzseRNfqeBbUVcsOF5bDNx8trlRtOSRFPiBCSOi+LkiAkZNC8UZBKbFPLWPOOGgpssRBFYhYiQ5mOvKlau8mLilBYkTsWBLbTGA/e9kdYKceM2udH987bismhanAwSHxWJdhdWxCvJxSKEaA1WnvOWKxMnKqv8Hw9si4oTx7UaO8ZL5bf1FG0nObY9a0IrXNyTFieDzIY4WUZsh5uDjGw1gkb9l8L4Khg6+U9Bf+/CsYzkZvUG/Yf+JRj65mYYx/g8GOi9dzxePLDf8aHgmzC2mBqYOFHxTIKyTSXUjI8ZpXrx2RYVJ0QJW2HL6La28M1QcPJQf9A7azzvzurtDw6djOfdvwbDA/8wFufWsDDo7X8noZyUF2ykPU9sZzs8TJNpqaXRMnECU09LKJmvFWpNpjfhw49ZrxCIdG4Onw5ej4pSPCx7OTg5/B9h7Bp/HQz6702INyH8JNh48stwBzEVoBLIs603IMKMnblsGhEn7AG/zUiy5Hd7Kpr/EQx/sGeCKE0Ms4JlLx0Phse05ptgsH9ZQryJYdbGk7UqXrVohw3lGJYXOHarvWYtFSejVX7HIlS/a/jmg6B/2Sx/L92yjcHvBoeD0TI5sQBPKHjDA0Ev8d3qYN/Qt+HKkJtXgpMv9dy6j6g8CIgZsniZwwBZeTRBabTlZJid4Fit52bwzeDrwbLaub0IbTwQDFrF6+Zw8MHrvcEsvy1auTJPwaygZ9/HYfkwauXk5Mujx5v1UnDyq+q0nqK0wvvEPjQ8LB/w/NtBW8TJILM2M2KDwqF+pVbybTC0b/Xo/Zz1v4KBK5HWkedm8NXJl0YLa6Tg/XWwP7g3tm6cyDF7B4LhcK2YGuC6MyNGGTYXnJXJqGg1I07EtWO1xbjd/DjY1zNaGZv1zEBw5RYt+TI4ufEno9utcjXmKUj2Btwc2hf0+DT/QzAw/NdwbfXAlsbFJY99JQ5xLV+0yjNWj7aKk0FGtgsik6apdSNxRU7GWk0Lg2cGLsVqhCFjraRlQf8gnviIYN3bHwxOKItfBUPHXw9bW0m1TDEVQKCscmmB33H3TTPihFHj+FYJba1LKNJqSqyMQaR/yfL3VyeDjT5PWxkwascbeme8n7ZnXzA0BTI895/nwjVR8UjzTPF8rHLCPuzbbgoRJzDV9Q+3FuKjOZptZYlsxmp8ae6IW1x4kZZRWoj3UwmRAmU+bgSt9t46xvNufZdzRJxCsRlvGaWFnuClk1emVGUsLjxR29uIgLWawsTJoCVkF0um5GJbNS5eJHFrIbyVJLfeuNsjOfQEG/f987gfX4gcUP7JP2bkzL3X2spoWt+REXfrRcpAYqDf6rfBkbG+2qlH3GXXjOuvlRQuTgaZ0dSa0Ipx8SKJPOKU4H8f89lH/O/RQRCJfnwhsjFXnpV/KqetJYc4jbnwLH8ntbaigyDquQenFtHBDvZsOtW10jFxMqhBFeG/7GbGBzYkFbBIAXR/F/QP3hhdXc//PtZ/pSHkonkweJT99hi+8SHhiZWoSCXLLXs9GPTvLY1X0O7tH6xV6YwbtWP93eix6roIpx40Hlrbmm2cjouTKIDIMPJZva8Hx4fCInZzOBj83cbx4bb9H4y9lFh/ZFKkL2qKdAyLqUZ0GPnEF2dvDn8Q/G5jKEzRytiYp+DeoHfg89F1IeNlIeGVCtE2JE5dQa2wfvy7Bl5GTBupV+MWl4gQZeOr4ON9z6T0IcUGNtQdqQcJbm/Rdr5Tu+FiyvMdN2PB37tfn/oXd6i/19UKbMhC19v/v92RwX91J1/7n27WWG74T/fvl/6f+zf+XTLXzf4bv3Kcv/2xe/zvf1L751/dPx77v+7r0bVClIi/dQue+ZU7dfKfXH/vwnBdjVm9rv/Q/3GDw//sXvsf/71WMkb5r3+/5M77DD/fzZ393/y6cWa6hx7v8eXm3/7xhBv8+r9GV4u2Mg2FCv8XQgghSoFaTkIIIUqHxEkIIUTpkDgJIYQoHRInIYQQpUPiJIQQonRInIQQQpQOiZMQQojSIXESQghROiROQgghSofESQghRMlw7v8D+poiwzEDN44AAAAASUVORK5CYII=\" width=\"322\"/>   <strong>[<span style=\"background-color: #ffffff;\">✔]</span></strong></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Br2 → 2Br•  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«sun»light/UV/hv<br/><em><strong>OR</strong></em><br/>high temperature  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong> Note:</strong> Do <strong>not</strong> penalize missing radical symbol on Br.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept “homolytic fission of bromine” for M1.</span></em></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"62\" src=\"data:image/png;base64,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\" width=\"178\"/>  <strong>[</strong><span style=\"background-color: #ffffff;\"><strong>✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">HBr  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note:</strong> Accept condensed formulae, such as CH<sub>3</sub>C<sub>6</sub>H<sub>4</sub>CH<sub>2</sub>Br.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept skeletal structures.</span></em></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most students gained M1 but very few gained M2, suggesting that the correct answer of 2 signals may have been a guess.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Another isomer of xylene was generally correctly drawn, but some candidates drew the original compound.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Drawing or describing the homolytic fission of bromine was generally done well.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Very few students gained 2 marks finding hard to apply their knowledge of free radical substitution to a benzene containing compound. Many thought that the bromine will attach to the benzene ring or would substitute the alkyl group twice and not produce HBr.</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
    "topics": [
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "reactivity-3-3-electron-sharing-reactions",
      "reactivity-3-4-electron-pair-sharing-reactions",
      "structure-2-2-the-covalent-model",
      "structure-3-2-functional-groups-classification-of-organic-compounds"
    ]
  },
  {
    "question_id": "19M.2.SL.TZ1.10",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Ascorbic acid and retinol are two important vitamins.\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Explain why ascorbic acid is soluble in water and retinol is not. Use section 35 of the data booklet.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    The melting points of cocoa butter and coconut oil are 34 °C and 25 °C respectively.\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Explain this in terms of their saturated fatty acid composition.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><br><div style=\"height: 2px; background-color: black; width: 100%;\"></div><br><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    ascorbic acid:\n   </em>\n   many hydroxyl/OH groups\n   <em>\n    <strong>\n     AND\n    </strong>\n    retinol\n   </em>\n   : few/one hydroxyl/OH group\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   <em>\n    ascorbic acid\n   </em>\n   : many hydroxyl/OH groups\n   <em>\n    <strong>\n     AND\n    </strong>\n    retinol\n   </em>\n   : long hydrocarbon chain\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    ascorbic acid\n   </em>\n   : «many» H-bond with water\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   <em>\n    retinol\n   </em>\n   : cannot «sufficiently» H-bond with water\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     Note:\n    </strong>\n    Do\n    <strong>\n     not\n    </strong>\n    accept “OH\n    <sup>\n     −\n    </sup>\n    /hydroxide”.\n   </span>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   coconut oil has higher content of lauric/short-chain «saturated» fatty acids\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   cocoa butter has higher content of stearic/palmitic/longer chain «saturated» fatty acids\n   <strong>\n    [\n   </strong>\n   ✔\n   <strong>\n    ]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   longer chain fatty acids have greater surface area/larger electron cloud\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   stronger London/dispersion/instantaneous dipole-induced dipole forces «between triglycerides of longer chain saturated fatty acids»\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     Note:\n    </strong>\n    Do\n    <strong>\n     not\n    </strong>\n    accept arguments that relate to melting points of saturated and unsaturated fats.\n   </span>\n  </em>\n </p>\n</div>\n",
    "Examiners report": "<br><br><div style=\"height: 2px; background-color: black; width: 100%;\"></div><br><div class=\"card-body\">\n <p>\n  Another instance where candidates insist on discussing water solubility in terms of polarity or hydrophilicity rather than its fundamental dependence on the presence of sufficient groups that can form hydrogen bonds to water. A few however gained a mark through pointing out the significance of the –OH groups in ascorbic acid and the long hydrocarbon chain in retinol.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Candidates had difficulty explaining the melting points of fats in terms of length of carbon chain, and referred instead to an explanation of saturated and unsaturated fat structures.\n </p>\n</div>\n",
    "topics": [
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "structure-2-2-the-covalent-model",
      "structure-3-2-functional-groups-classification-of-organic-compounds"
    ]
  },
  {
    "question_id": "19M.2.SL.TZ1.13",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Show that, for combustion of equal masses of fuel, ethanol (\n    <em>\n     M\n     <sub>\n      r\n     </sub>\n    </em>\n    = 46 g mol\n    <sup>\n     −1\n    </sup>\n    ) has a lower carbon footprint than octane (\n    <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:italic;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n     M\n    </span>\n    <sub style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:11.6px;font-style:italic;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n     r\n    </sub>\n    = 114 g mol\n    <sup>\n     −1\n    </sup>\n    ).\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Biodiesel containing ethanol can be made from renewable resources.\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Suggest\n    <strong>\n     one\n    </strong>\n    environmental disadvantage of producing biodiesel from renewable resources.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    <strong>\n     Alternative 1\n    </strong>\n   </em>\n   <br/>\n   C\n   <sub>\n    2\n   </sub>\n   H\n   <sub>\n    5\n   </sub>\n   OH (l) + 3O\n   <sub>\n    2\n   </sub>\n   (g) → 2CO\n   <sub>\n    2\n   </sub>\n   (g) + 3H\n   <sub>\n    2\n   </sub>\n   O (l) / 1 mol ethanol produces 2 mol CO\n   <sub>\n    2\n   </sub>\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   C\n   <sub>\n    8\n   </sub>\n   H18 (l) + 12.5O\n   <sub>\n    2\n   </sub>\n   (g) → 8CO\n   <sub>\n    2\n   </sub>\n   (g) + 9H\n   <sub>\n    2\n   </sub>\n   O (l) / 1 mol octane produces 8 mol CO\n   <sub>\n    2\n   </sub>\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <br/>\n   For 1 g of fuel:\n   <br/>\n   «\n   <span class=\"mjpage\">\n    <math alttext=\"\\frac{{{\\text{1g}}}}{{{\\text{46 g mo}}{{\\text{l}}^{ - 1}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mfrac>\n      <mrow>\n       <mrow>\n        <mtext>\n         1g\n        </mtext>\n       </mrow>\n      </mrow>\n      <mrow>\n       <mrow>\n        <mtext>\n         46 g mo\n        </mtext>\n       </mrow>\n       <mrow>\n        <msup>\n         <mrow>\n          <mtext>\n           l\n          </mtext>\n         </mrow>\n         <mrow>\n          <mo>\n           −\n          </mo>\n          <mn>\n           1\n          </mn>\n         </mrow>\n        </msup>\n       </mrow>\n      </mrow>\n     </mfrac>\n    </math>\n   </span>\n   × 2 mol CO\n   <sub>\n    2\n   </sub>\n   (g) =» 0.04 «mol CO\n   <sub>\n    2\n   </sub>\n   (g)» from ethanol\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   «\n   <span class=\"mjpage\">\n    <math alttext=\"\\frac{{{\\text{1g}}}}{{{\\text{114 g mo}}{{\\text{l}}^{ - 1}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mfrac>\n      <mrow>\n       <mrow>\n        <mtext>\n         1g\n        </mtext>\n       </mrow>\n      </mrow>\n      <mrow>\n       <mrow>\n        <mtext>\n         114 g mo\n        </mtext>\n       </mrow>\n       <mrow>\n        <msup>\n         <mrow>\n          <mtext>\n           l\n          </mtext>\n         </mrow>\n         <mrow>\n          <mo>\n           −\n          </mo>\n          <mn>\n           1\n          </mn>\n         </mrow>\n        </msup>\n       </mrow>\n      </mrow>\n     </mfrac>\n    </math>\n   </span>\n   × 8 mol CO\n   <sub>\n    2\n   </sub>\n   (g) =» 0.07 «mol CO\n   <sub>\n    2\n   </sub>\n   (g)» from octane\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    <strong>\n     Alternative 2\n    </strong>\n   </em>\n   <br/>\n   ratio of C in ethanol:octane is 2:8, so ratio in carbon dioxide produced per mole will be 1:4\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   ratio amount of fuel in 1 g =\n   <span class=\"mjpage\">\n    <math alttext=\"\\frac{1}{{46}}:\\frac{1}{{114}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mfrac>\n      <mn>\n       1\n      </mn>\n      <mrow>\n       <mn>\n        46\n       </mn>\n      </mrow>\n     </mfrac>\n     <mo>\n      :\n     </mo>\n     <mfrac>\n      <mn>\n       1\n      </mn>\n      <mrow>\n       <mn>\n        114\n       </mn>\n      </mrow>\n     </mfrac>\n    </math>\n   </span>\n   = 2.5:1\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   4 &gt; 2.5 so octane produces more carbon dioxide\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   ratio of amount of carbon dioxide = 2.5:4 = 1:1.61 so octane produces more «for combustion of same mass»\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   use of «farm» land «for production»\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   deforestation «for crop production for fuel»\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   can release more NO\n   <sub>\n    x\n   </sub>\n   «than normal fuel on combustion»\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     Note:\n    </strong>\n    Ignore any reference to cost.\n   </span>\n  </em>\n </p>\n</div>\n",
    "Examiners report": "<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  A question that gave the opportunity for a variety of different approaches. This challenge was beyond all but the best students, though there were a number of well argued responses.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Many students did not take into account “production from renewable resources” and answered in terms of the combustion of biodiesel, though about a third correctly identified the area of land biofuel crops require.\n </p>\n</div>\n",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions"
    ],
    "subtopics": [
      "reactivity-1-3-energy-from-fuels"
    ]
  },
  {
    "question_id": "19M.2.SL.TZ1.4",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">This question is about peroxides.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Hydrogen peroxide decomposes to water and oxygen when a catalyst such as potassium iodide, KI, is added.</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\">2H<sub>2</sub>O<sub>2</sub> (aq) <span class=\"mjpage\"><math alttext=\"\\xrightarrow{{{\\text{KI (aq)}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mover>\n<mo>→</mo>\n<mpadded lspace=\"0.278em\" voffset=\".15em\" width=\"+0.611em\">\n<mrow>\n<mrow>\n<mtext>KI (aq)</mtext>\n</mrow>\n</mrow>\n</mpadded>\n</mover>\n</math></span> O<sub>2</sub> (g) + 2H<sub>2</sub>O (l)</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Suggest why many chemicals, including hydrogen peroxide, are kept in brown bottles instead of clear colourless bottles.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">In a laboratory experiment solutions of potassium iodide and hydrogen peroxide were mixed and the volume of oxygen generated was recorded. The volume was adjusted to 0 at t = 0.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"159\" src=\"data:image/png;base64,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\" width=\"268\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The data for the first trial is given below.</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><img height=\"143\" src=\"data:image/png;base64,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\" width=\"260\"/></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Plot a graph on the axes below and from it determine the average rate of formation of oxygen gas in cm<sup>3</sup> O<sub>2</sub> (g) s<sup>−1</sup>.</span></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><img height=\"601\" src=\"data:image/png;base64,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\" width=\"371\"/></span></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Average rate of reaction:</span></span></span></span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Additional experiments were carried out at an elevated temperature. On the axes below, sketch Maxwell–Boltzmann energy distribution curves at two temperatures T<sub>1</sub> and T<sub>2</sub>, where T<sub>2</sub> &gt; T<sub>1</sub>.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"257\" 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\" width=\"393\"/></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Apart from a greater frequency of collisions, explain, by annotating your graphs in (b)(ii), why an increased temperature causes the rate of reaction to increase.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">MnO<sub>2</sub> is another possible catalyst for the reaction. State the IUPAC name for MnO<sub>2</sub>.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Comment on why peracetic acid, CH<sub>3</sub>COOOH, is always sold in solution with ethanoic acid and hydrogen peroxide.</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\">H<sub>2</sub>O<sub>2</sub> (aq) + CH<sub>3</sub>COOH (aq) <span class=\"mjpage\"><math alttext=\" \\rightleftharpoons \" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mo stretchy=\"false\">⇌</mo>\n</math></span> CH<sub>3</sub>COOOH (aq) + H<sub>2</sub>O (l)</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Sodium percarbonate, 2Na<sub>2</sub>CO<sub>3</sub>•3H<sub>2</sub>O<sub>2</sub>, is an adduct of sodium carbonate and hydrogen peroxide and is used as a cleaning agent.</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><em>M</em><sub>r</sub> (2Na<sub>2</sub>CO<sub>3</sub>•3H<sub>2</sub>O<sub>2</sub>) = 314.04</span></p>\n<p><span style=\"background-color: #ffffff;\">Calculate the percentage by mass of hydrogen peroxide in sodium percarbonate, giving your answer to two decimal places.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">decomposes in light  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note:</strong> Accept “sensitive to light”.</span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"612\" src=\"data:image/png;base64,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\" width=\"381\"/></p>\n<p><span style=\"background-color: #ffffff;\">points correctly plotted  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">best fit line <em><strong>AND</strong> </em>extended through (to) the origin  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>Average rate of reaction:</em><br/>«slope (gradient) of line =» 0.022 «cm<sup>3</sup> O<sub>2</sub> (g) s<sup>−1</sup>»  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note:</strong> Accept range 0.020–0.024cm<sup>3</sup> O<sub>2</sub> (g) s<sup>−1</sup>.</span></em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"247\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAg4AAAFKCAYAAAB1mtfeAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAGj5SURBVHhe7d0JXE3pGwfw3/RvQkLZEpqkSVLIluzZkiQ7UfY1+z522fe1QrJkzb4UISRJKUlKksYk2RKyL0n3f97TawaDubf1VM/X57rnPOfcutW99zznPe/7vL/IBCCEEEIIkYMSvyeEEEII+U+UOBBCCCFEbpQ4EEIIIURulDgQQgghRG6UOBBCCCFEbpJIHF6+eoW+9n0wxGEw3r55y6OEEEIIkZpcH475SkgamjVrhqtXr4rrTRo1wPETp1CsWDFxnRBCCCHSkastDixpaNe2rZg0GBoawsDQCBcuBsG2ey98ePeO70UIIYQQqci1FocPqano3qETPL2PYcKEcdDR1UdxNVX4+/thyxZ3dLe1xfYdO1BIWZk/ghBCCCG5LddaHIYN7C8mDX369MGCpcuhrJT+VNa5usFWSBr27dmD0aMcxASDEEIIIdKQ44kDSwSGDh8O9+07YWNtjW3btqEQTxoY1sLgvmULbKyssXHDJsyZNYtvIYQQQkhuy/HE4W5cHPZ5eMCiRSvsO3yYR4HUtBS+JCQPRYpg+86daNSgEVxd1yNWeAwhhBBCcl+OJw76+vo4deIE9uzb81X/BWUlFb6UroRGCXh5HcWlSyHQ19XlUUIIIYTkphxPHBhTMzNolCrF19J92eLwGduHJRqEEEIIkYZcSRy+59sWB0IIIYRIj2QSh++1OBBCCCFEWqjFgRBCCCFyk06LQ+p7vkQIIYQQqZJOi4NyYb5ECCGEEKmiPg6EEEIIkRv1cSCEEEKI3KiPAyGEEELkJpnE4X9Kv/IlQgghhEiVZBKHT/iFLxFCCCFEqqTTxyEtjS8RQgghRKqk08fhn/muCCGEECJRkkkcVKTzVAghhBDyA5I5WqfQlQpCCCFE8iSROKSlpUFZiTIHQgghROokkTgoKbGnQZ0cCCGEEKmTzKWKVBpVQQghhEgeXaoghBBCiNwkc6lCKY1mxySEEEKkTjKXKlLwli8RQgghRKokdKlCMjkMIYQQQn5AMpcqUtMocSCEEEKkTjJHa+ocSQghhEifZBIHanEghBBCpE8SR2sajkkIIYTkDZJIHMTKkTKqHEkIIYRInWRaHPALXyGEEEKIZEmmxSE1LYWvEUIIIUSqJNTHQYWvEUIIIUSqpNPHAanpK4QQQgiRLEkkDgwNxySEEEKkTzJHaxqOSQghhEifZBKHtFRqcSCEEEKkThJHa9Y5UkmZEgdCCCFE6n6RCfhyrnJycUJxteLo27cvj5CCor/wN3+d8h6sBBjrIvu9++VLnVFBu4ywRAghJDdJpsWBhmMWXM9fvsSzZ8/xOPEZbsfexp49+3Dl8hVx/XMceJu+MyGEkFwlmRaH9etdoKqqRi0OBZx/YCCaNWqE2bNnw9HRkUcJIYRIhWQ6FtBwTEIIIUT6JHO0puGYhBBCiPRJJnGg4ZiEEEKI9EniaE3DMQkhhJC8QRJHa5odkxBCCMkbpNPiIJ2rJkSi3rx9gyNHDiM4OIhHCCGE5DTJtDiIE2QS8hN/TJuObW5bcHC/F48QQgjJaZI5XNNwTPJfnFevRn1zc6io0hTshBCSWyRztFahvIHIQUn2CakprAg1IYSQ3CCZw3UKlXEggpqGRjh/8SL6DxzII19LS2XlyanFgRBCcoskEof0uSoocyBACY0SaNqwIXS0tXnka8rKRZGaRi0OhBCSWyQ0O+Z6FFdTpbkq8qAPqamIu3ULMbExuPPgEV7cv480pAoHeJaZKkFVrTj09HWhr28AQwMDFCpShD9ScYuXLcbLF0+wcP5yHiGEEJKTJJE4sBYHV9f1NMlVHpL8IhnBQUE4fPgwvA+dxMv3z8W/XwVtLWjraENZqbDwd02/pJCYmIj4+Hi8fP5cSCbS0LFjR/To2RNNmjSCRgkNcR95XY+KwttXr2BqZsYjhBBCcpKEZsd0FQ48hSlxkLiHD+9jzqx5OHHyOJ4JiUDv/r3RsllLmNQ2QTltHRRV/v5lBNYq8UR4bGh4FDw9PbF7+zaULl4anXpaY+r0WdDS1OJ7EkIIkTLJdI6kypHSxs70WVJXudLv+CvuT8xfvBgPHjzAurXr0KVLF+jp6v0waWAKCdsqCIlFh/ZW2Oy2AY+fPMbcpbMQGBiMKr9XwcSJk5H89CnfmxBCiFRJJnFQpjoOkvQ0KQnTpk1Dvdp18fBhAs6ePQ2fM2fQ284OxYoV43spjj22f//BCA0Nw6ZNG+B55AiMjY1x+Jgn34MQQogUSafFgTrKSwrrd3LU8xjq1auNQ0cO4cSpE/A6eQYNGzfme2SdHj3sEBl5DYMdBqNXlx5CUtIT796941sJIYRIiWQSBxXpPJUC782bV+jffyi6d+uEQYMccDn4MszNzVEoG+uCs5EWjrPm4uyF87hy9Rrq1KmDGzExfCshhBCpkMzRmgpASUNYaCgaNWmEq1cv4uzZc5g2Y1qmLkkoqqGpKS5euABDfQM0MjODn58f30IIIUQKJJE4UAGo3CdemjjiiWbNm0NXTw8XzgehcTZclpCHRqlS2H/0MPr37Y02bVrj4N6DfAshhJDcJonEgc2OSZNc5R6WNCxeuBjde3bB9KlTxQM1q+CYm9irYfnqtZgzbx569bGFh4dH+gZCCCG5ilocCjj2u3cYORILFi3Abvf9mDJtmpjISQF7FlMmT8H8hYswoN8AHN1/EPQqIYSQ3CWJIwQ7UMl+oWEVOS3iWjjMW5gj+sZ1hFwJQZceHfkWaZk0YSL2HNyDQSOGYeHChTxKCCEkN0jj1FLwi4xmPMxJvr6+aNS4CerWrgt/P38YVTXiW6Spg3UHnPc7B6c1ThgzfrRYiZIQQkjOk0zikEZt0DkmJOQS2rZtg8EDB2PlypU8Kn3Vqhlj2+at2OiyGUf27udRQgghOUkSiQO7zq6kRJcqckLYpUghaWiL7ra9sGj5Uh7NOyytLbF05WIMGjZEHDpKCCEkZ0mmjwPNVZH97t9PQIeeVmjVsBU2bd0ozh+RFw0Z6oCOnTuil30vJCYl8ighhJCcIJlLFcpKKnyJZAc250S7tu2gp6WL7Yc9UEipEN+S97CEZ53zOrGVasr4iTxKCCEkJ0jmUgVAnd2yy4d37zBg0BC8fPsWe4/uz7MtDV9i1Szdd7pjzz5P7Ni2g0cJIYRkNwldqpBM40e+M3X2TAQE+OHU6dPQLKPJo3mfaW1TzJnzByZOHo+Eh/d5lBBCSHaS0KUKGlaRHTa7umL9Ghfs9dgPfV1dHs0/xowZBwN9A4wcNATvaIgmIYRkO8kkDjQcM+uFh0Vh4pQpmDlvJlpZtOLR/IXNqrl2wwb4+vvj2EGa04IQQrKbZPo40HDMrJX89Ck6d7eEpaUlpk2exqP5k4mxMcaNG4XREyeKPzchhJDsI6E+DjQcMysNGjAcKipFsc7ZmUfyt+lTZ0KjWAlMmT2bRwghhGSHTCcO7968watXr/haxtFwzKzj5OICH19v7NmzR5yiuiBglyyWLF2M7W6bcT0qikcJIYRkNYUSB9YMvHTxQtyOixfXXZzWQE29OEqXLgnHubMyPH8ADcfMOrGxsZg2ZQpmz5wJkxomPFowtLe2Rkebjhjm4CAOQSWEEJL15E4cWFLQrkN7zJw9G3G3Y5CU9BSTp0xDg/oNMHXqdCxZsAyHMjh/AA3HzBrsYNmtSxdYW1pi4uTJPFqwTBcS2CtXgnH27DkeIYQQkpXkPlrfi4vHlYtBOH36HFq1ssCBA3vw9u1bbNywAY6OjrC1t8XJk8f43oqj4ZiZt2jRIjxMfIila1fzSMFjbGiIMaPGYPzEsdTqQAgh2UDuxCEmOgrFS5ZG06aNxfVDhw5BT0cX1YyNxXUdbR3ce/xEXM4IGo6ZOQGXArFoySK4um2GtlYFHi2YRo2bgOTkZLi7b+cRQgghWUXuxKGCjg5evn6JmJs3ER4ZieBLlzFgyCBxW3LyM/id9cXvlfXEdUWl93EgGXXjZiwG9OkDx9nz0NHGhkcLrgqamli1YhVmzZmBO3F3eJQQQkhW+EUm4Ms/xfo42HbqgiPHPMX1smVLIyQsDImJiWjWoAlU1AsjxC8QBoaG4nZFObmsR3E1VfTt25dHiDxYc3yDRo1gpG+AbXs9FOvtms/16NENr1++hNeJU/R7IYSQLCL35ymbGGnPvj3Yst0dixYsQuClUOhU0IZWmTIYNcoBESERGU4aWIsD9XHImGUrlonTZS93Xk0Hx29MmjQd3ifPIDw0lEcIIYRkltwtDt96kfwCqUhDKQ0NHsmc9etdoapamFocFMCGXtauXVucYrp33948Sr5kZ9cNL1++h5eXF48QQgjJDIVOUtnlCla7odLvulAvqS7WCggJC4VJjRrw9fHne2UMVY5UDPtbjB49Fo0bN0J3u548Sr7lMGIcfHx8EB4eziOEEEIyQ6HEYdL48ZgybQasLNuiUYNG4oPLaGhARbUwWrZthuuZ+HBWpjoOCjmy9zACAvyxYvUa8TIS+b7GDRuiadOmWLPOiUcIIYRkhtxHa9YJcuvWrdji7i42jRvXMEZqGqCrq4cL586jTq1a2LhxC99bcal07JMb6xA5edp4DB06GNUMDHiU/Mjs2bPh7rZFvLRDCCEkc+ROHCIjI8V7VpnwH+llotk8ARaWVoiNz/gHs4pijR8F2sSZ01GkaFEsmLeAR8jP1DMzQ5069eDiQq0OhBCSWQofrT/PR6EkPFL5i6mwnz9/hsIqhfma4lJoUIVc2Dwh2103Y+bUmWLCRv4bu5QzbsIYbNu2I0smZCOEkIJM7sShTs164v2W9evFe1azKYUnETdux8Fr/37UMa0jriuKhmPKhyVt0yaORYNG9WHX245HiTzsetpBS6sCFsyZxyOEEEIyQu7EQaNMCfwxdRLGT5yMTp06ITQ0FGFh4Rg4sD+aNzRFUQ0NDB40mO+tGJrkSj5BAf7w9jmJuXMX8ghRxJgRDti114NaHQghJBMUOlrPmDYL7ls2iR0loyKjcPlyMM74nEFnmx44d+4cNMto8j0VQy0O/+3V+/eYNnkGuna2halpXR4lirDt0wfPnz/HIc8jPEIIIURRGS4AldWoANSPsVEUfewHwcfXG9dv3hTnYiAZs3TxYmzZsgVXbtxAURrGSgghCvtp4hAbEyPeRMJnbBr77xtKqalIEz6A2X2lypX/ni1TUU4uTiiuVpwSh+/YtmsH+tn3waQ/JgkHvqU8SjIiIf4hjE2qYse2XbC2thIvkxFCCJHfTxMHR0dHzJkzh6/9t3ETxmHl8pV8TTHrnVygWlyNEodvsOvxVatUQQUtLZy7cB5FixbjW0hG9e3fH4/j43HC15dHCCGEyOuniUPiw0Q8TLr/uVzDfypVphS0tXX4mmKc1ruguColDt9avmI51jmtwcWgEGgJyQPJPFYIyti4Gi5cuABTUzMeJYQQIo+fttNqamnCpEZtmNT+5/ZrkSJITUv7e/3Rk2eIjo2BvoFhhpMGhgpA/RtrbVi1fAVGjJtISUMW0tfXh2UrS6xasYpHCCGEyEvuo/XHT58wfPgoNG7UEOfO/dPE+/xpIpYvXYVaNarjZsxNHlUMG1Xx6RdKHL7Eft+jx4xEdeOaGDdqFI+SrDJ70Xyc8D6FC5cCeYQQQog85B5VERsbgypVquLKlSviVM5fYoWJrNu2ha5eJWzc4MajiqHOkV/z8/VF85YtEXXzJs1HkU3GThyPQL8AMXmgicIIIUQ+cicORw97YtCggUh6msQjX5s2YwaCL1/G2VOneEQxNBzza6ZmpqhjZIr1m515hGS1mzeuo2atOrhw7hxMGzbk0X8kJMQjKjoasTG3kZiUgGePk5H84hnevn0r3L9Basq/p4IvoVECKsoqKF1aHaVKlULJUmWh85sualY3hF7VapSgEELyPLkTB/YByjqU3blzFzra2jz6jy5dOkG1sBp27NrBI/JjlypcXdcLiQN1jmTO+PqgXdt2CI+IgKGBIY+S7NCpSxfhdauCgf0HI+xqCCJvRiMmMhrXrkXifcp7lC5ZGjq62iiuXgbamqVRtEQZqKsVFtbVgV9/FS/2sSGdaalpUFJWwsvEp8LrORVJSYl48vI57j9MxNPEh7h37574/XR19FGnXk0Y6hnCsE51mNaunam+QYQQktPkThxYEaL69esLZ1ElsWTJUhgY6gtHfBW8FD4cDxw6hMmTx2P3nj3o0unL2TPl5+SyHsXVVClxELRv3x7qJdWxY5viSRj5b0lJTxETEwVfH1/sObAP0UJSrKZWHAYGejA0MkLN6jVhZmaKmjVroVixrBv+Gh4ejsvBwQi7dg1R18MRGxOHZ8+fQFtPF7adu6NFi6YwMjCCZoUK/BGEECI9cicOTEhoKLp164JHDx4IB3l1KKso4+3r1+KZ2R9Tp2OuoyPfU3Hr17tQi4PgjJ8f2rdpi5s3rwtnuno8SjLraXIy9uzeDW9PT1wKDcHzly9h2aIVLKyssHXzZjQ2N4fz2rV875zxTkjGY2NicfXqZXgeOwnvY95QVVMR+xB1t7WFvW0vKBUqRJc3CCGSolDiwLxIfiFOtBQTG4e0t6+hqaOFRvUbwcTEhO+RMU5Oa1C8uHqBTxy6dOqANCUVHD64n0dIRrHhrAf27MOhQwfgFxCAMqXU0bFjN7S2tkBj4TX7uTXBY+8ujBw5Fn/evAmNUqXEWG548+YdLl68gDNn/LDvkAeeJj6BlZUlbDp3RVcbG5pGnRAiCQonDtmFOkcC16Oi0KC2CS4EhcOkthGPEkWwqdIuBQbi0L59cN28Gerq6rAWDr6dunWDRSuL9J2+wfrYVK1SFf0GDcC0KVN4NPedPHkSHh57hftjUFZSxsChQ9GjRw8YGVK/F0JI7vlp4rBtxw5s37kT+4RbmooybLvbQumL0g9p4sf0PzrbtMOIEaP5mmJcXFygplawL1Ww6crZb/fg4cPpASI31ux/0tsbi5YtQUxUNIxqVsekcRNg0aGDXJNZLVu2GG6uOxEZeVlyZ/as5WTfgX1wWuOC27ejYWFpjel/TIWRSY1sv4zx8OFDvvRj7H2blX1BCCHS9tOqS2y42TvhQ4ths15/fPMO7968wMd3b/DhDbu9wifhA5vFP757hdS0X8V9FcXO+JSEM6qCjA39O+l9EiPGUbEnRbxJTcWqFSvEDo297O1hbm6OwJAQBAYEiiMm5J0Bs0+//niYGI8Tp715RDrYQXlg/4EIDg3BqROnoCy8bRs0qo/2lha4dOkS3yt7NG/eDJUqVUKVKpXF++8tnzt/nu9NCCkIJHOpoqAXgBo5ejTCQ0MREEiVDOXBRvmsWbcOG5xW48OHVDiMGoXBgwdCs0zGpxyfOHki/P39cUFIOqTeITE8LBwuG1ywc9tOtGrVAuMmTECLFi341qzj5XUUKSnvxeX7CY8x6Y/x6NixI7p37yrGmIYNG0NLi0aCEFJgsMRBHs+ePJM1aNBA9uTZMx752qgxo2S23W35muLWrdsgc3d352sFy6NHj2TF1dRkJ04c5xHyI+/fvpW5b98pq1ixonArJ1swfZHs/ce3fGvm3Ii8KVNTKywLunCBR6Qv8sY1WefOnWWqqqqyXn36yW7dusW3ZL07f/4lU1JWls2ePZtHCCEF0U8vVbBLCMe8vcUhbN7enggKCoKPcC+uf3E7evggfHx88Pz1c/5IxbDvI/cUnPmQx54dKFOqDJr8oPMeSS9r7uvrK9YSGT96JBz6OuD6jVuYNn8KCilnTZ8EQ2MDtGphCRc3Vx6RPmPDGth/8CAuXjiP+NgYcSjntMmzxH4RWY0VtiKEkP9scejauSu7lCHXbcuWjLcYrHVeVyBbHN5//CgrX668zHn1ah4h37r111+yjh07ylRUlGUjx4yS3bl7h2/JeheDgmQqUJZdu3mTR/KWA/v2ycrrV5Tp6VWSHdl3gEezxt07d6jFgRDy8xYHZuPGDbh67QpOnT0rrp89ew4R1yIQcUO4sXt2uxKBR48eoX//jPdPUGa9LwugPR4eSEsB+gwaxCPkM9aPYfHixahbwwRvX7/AhYsX4bR6LXSysURznbp1Uat+Lexcn3daHb7UpVs33Ai+js69esLW3h7dunRDbFwc35o571NShPcpXyGEFFj/+THACuKY1KiNejVrwcbGGvr6uqheozqqGwo3ds9utatDUzPjndKY1NSC1wzKLtFsdluPLj06oFjRojxKmLDQUNSqUwdrnNbAefVKnDrtC9O6pnxr9mGdIgcOdcA2jx3Z0tyfE9hEW0vnLkRQ8EXE348X58NgRa5YIpYZKkrKSBUvKxJCCjK5zx+uXL0CT89jeJr8mkeylrJyYb5UcESER+DChSCMmTSJR8iHtA8YP3oKGjRqgHpC4hAWFobeAwfyrTmjT+/eKFFMA2vWrOGRvMnEpLY4QmT+9OkY0GcIutr3wtOkJPF3nBEpaaliISpCSMEmd+JgVMMIhlWqYL/HTty5cwfv3rzBm1fpt8/L7z685XsrrqC1OHxMScHo8eMwYtRI6Ovq8mjB9fzFCyxfuRI1qlbHg6dx8PMPEguQaWlq8T1yDmt1mDVvFpycXZD0+BGP5k3sZxkxcSKib0ahmn4V1K5bF3OnOyLp2RO+h/yUflHCxx+8TxctWojxwuu5T58+cHFy4lFCSL7E+zr8p0ePnskqV9b/uyNkYVUVcQgYu7GhhGwY2x+TpvK9FfPp0yfZunXOBapz5PkL52UqUMrWjn55xenTZ2UG+vqy6gYGsqtXLvNo7qtTr45s0qRJfC1/YK+35k2ay8qWLS3z8vLiUfn8deuW2EH1e50jX374IN6zzr7sb/mjYduEkLxP7gJQrKSvy0YXYenH1SFr1KwFC/OmfE0xBW1a7W7dekC5sDI8duzikYKHDbFctnghFsxbhF4D+2P1kiWSKl3MSn8PsrfHzb/+ynQfHilhv/d5jo5YtmwJhMQIMx3nylXw6vbtOFSpWgUzp0+H4w9mwmX9KGrVqYGrVyJoUi5C8isxfchlBa3FgQ0vVBF+9RcvnOeRgocVverYuaNMXV1dtmf3Th6VltevX8p+q1hRtm6tM4/kL4cPe4m/f6tWlrLHT57w6I/du3tPVqdOdfG9+j3sfTxz5kzZvHkLeIQQkh8pVHKajQKIjY1F3O3bPCIQTlTS3qci/n4C1AuroWcGh2QWpNkxFy6Zj53bduPy5QgULVqwOpux11BYeBjsbXtBRUkJe44eRTUDA75VepYvX45VG9bgr1vxKCQ83/wmLj4e7dq1RUpqKvbt3Y/aNWvyLYphf1c3N1f4+gRg+85N1NpASD4m9ycha950GDoUVatWRdt27f65tWmHdh06YPjwkYiK/yKhUFAqK2ZQALDf4xZnNwwYMKDAJQ2Mx94daN2yNWrVqY+Lly9LOmlg+g8ciPdP3+LAjr3iwTG/0dXRQXBQMGoaGqF1C3Ps99jLtyjG1ckF3j4+lDQQUgDInTg8fngf27fvRNfOtjhwYA8qViyHUSPGCDF3WFq0Rr369TBzxiy+t+KU0/Lf2dz3HDl4EE9fv8RQIQkrSD68SYPj3FkYNmQYJoyZAA+PHXliKuZSGhro2bUH1m92glI+bHFg2N+B9ecYOHgo+vTrByeX1WKCK6/kp8nYum0rHsbFo0mjRmLdCD9/X76VEJLviBcs5HDi1GmxRzW77st079pZNmHcGHGZTTxkZGgk256JPgprC0AfB9bjvKO1lWzYoEE8UjC8fPlSZt/HXryeftzLk0fzDtYnRUlZSRYcHMQj+Rfrb1JYpbBs3Lhx4utVXmzPz7dPwu39J/Y/ISQ/kvsUKu39W5QsWQ5Fi6afJeoZGiEkJExcZk2T1jbWOHbMU1zPCBX5Gz/yrEcP7+Okjy969O7NI/lf8tOnaNemDS5eDMK5s+dgZd2eb8k7WJ2NXr1sMWfmbB7Jv3r0tMPps6exdetW9OrWQ+6WB3bR7fONvZPzY38QQkg6ud/d+oYGePToHhKTEsX16gYGuBoVKS4z7As9eZnxqpIpBaCSrdt6VxhVrw7zphkbsprXRMREo3mzJuK8p6dPnYBJbZP0DXlQ//6D4evnj+joGB7Jvxo3bowLAQG4FhqCNuYthPd8Et9CCCEKJA7lyumies2aaN+2ndgrvkWrVkh9+x6zHB0REOCPPQcOoaZ+xjq6sU5n+X2SKzbvgdtmN4wYMYJH8rcw4aDT0aIdtCro4LiXF/T09PmWvKmFuTlqCkmfqxurZZL/GRsZ4WxgIB49f4wO7dohLiGebyGEFHRyJw7Fiqlgw4YNeP78JU4eOykWxBk1bgyWLFqAJk2a482rZNgP7cf3VgzrdJaazztHHjt5UpxdkE0Ulp+xJDBQOFtlI27qNayPI0cOiROl5Qez5jtivct6JDy8zyP5m462Ni6cvyj8TVPRsnlLxMcn8C2EkIJMoToOzIfUd0h5l/p3j/jw8HA8evAAterVgWaZjFXXYwcbV9f1UFVVy7d1HNq1bg1t/crYsC5vTtcsLx+fM+jSpRMGD+yPRctXylWRMK9gr32jqrUwqN9ATJlRcCYmY61lXbt2wu0bMTgiJMCsNYIQUnBl4DT/V0RHRoqdp9a7ueLx42do1KRJhpMGJn2YW/6taRB+/TrO+Pth2BAHHsmfdu3ahQ4d2sPBYRSWr16br5IGppByEYwb5QAX15WZnqI6L2EnCQcOHIaRqRnatGqF61FRfAshpCBSKHG4ERODlk3NUb9RIwwbNgSTx49FmzYt8fvvlXHy2Bm+V8bk1wJQrDVl95adqFWrFgyNjXk0f2E97w/v34tBQwZg+szZWLp0YUYy0jxh0IgRSEsFNm1xRQHoz/s3ljzs2+sBU1NTtGxhTskDIQWY3J/v7AyrV7duePLsMby8juOvP+/gzz/v4urVq7C2tkaHLm1xKTCQ7624/FoA6qPw78ChXejbe3C+OwNnWNJw7PBh9LLvhzmz52HGtCl8S/7E/oa9B/aHi8sWfEgpGNVOP2M/+549e2DauLHY8hB+PYJvIYQUJHIfra8JCcK1qEh4HT8hJApWqKBdAZqaZWBiYoJ1bpvRyrwFtmzfyvdWXGo+vVKxZ9tuvHn3HgMG2PNI/uK5/yDs7ftg6coFmDx5Mo/mb2NGjUJCQhxOnzzJIwUHq9lyYO9+cchmu9ZtqOWBkAJI7sThk3ArploM5cuWTQ98gRV7qWJUDQ/vP+YRxSn/8j++lH+wqchXr12NUaPG57v6/R8+fMKkCeMxbvIEeOzzwKgR4/mW/E9LUwuzZs3FpEnjcffeXR4tOFjLw849ezBq9Hix5WHz5k18CyGkIJA7cahhaopG9Rqhl3B2eTvunzHdrKna29sbm9w2CWfVfXhUMeLkQbJf+Fr+4S2ckd669SccRgzjkfzh3Zs36Ny1I7xOeONiYBA6dujItxQcw4YNwodPn2Bt1bFAdZT87Nf//Q9Tpk7Ctl0emDhxEiZPyd+XqAgh/5A7cXj/Khkv3r+Ap+cR/F65EqpVq4bGjRvitwpaaNeunbjPqjVOaNiwoXjr1KmDGJNHeh2H/He92GnVKnEyKzZRUn4h9nXpY4/w0FB4HT4qjvUviFhnwUmjxiIy8irWOK3h0YKnVQtzbN26UXitr8HipYvFEwlCSP4mdx2Hp8nJsLXtxddYxpGec6R907ecxVmsdOmS8Ni1i0f/2/r1rlBVLZxv6jiw+hZNmjTAubPnUdfUlEfzvr79e8PzyDGEhIRCX1+PRwumpy9eoH3b5nj84DmuRl77u7ZJQXTk0BH07NEFq52d0W9g/uwITAhJp3ABqOyQHwtAzZjliGOe3ggLD5G/WUfixo4fj61um3H6/FmY1q7LowVbdGysOI30pk2b0KNHDx4tmDZv24qxI4dj3YYN6G2XPwu5EUIUuFSRnfJbyek3qanYJiRCI0YMzDdJw5pVy+Dqsh5HDx+kpOELhvr6mDBuHGbPmV0g+zp8aWDf/nCcuRDDhgzHfo+9PEoIyW8kc1zLT5NcHdm/F69TUmDbO3+cdbGDwMRp07DF3R3mrVrxKPls8IgRuJ9wH8eOefNIwTVh8jiMExKpAcOHIcDfn0cJIfmJZBKH1HzUqWrPzt3o2NEaxQoX5pG8y8fHB3369cPKlavRs2fBbor/kQqamuhpZ4s1Li4Fqprkj8ydPx9DB/ZHl25dEBIexqOEkPzip4lD/P0EcYKbnKCsnPcPsgybOfHMGV8M7T2KR/KukLBQ9O5tB4cRDhjlUDCmA8+oqVNn4HJQEE54U6sD+1BZMG8BWrSwgG3X7rgRE52+gRCSL/w0cZg/axbatm0rLrOx+47C+qtXL8T1rMam7s0PnJatgqGRAcxa5O2RFA/vP0Qfe3s0NmuBlStX8ij5EV0dHfTq1Qtrl6+gIYkCVvDMfcsm6GpXRL+ePZGYlMi3EELyup8mDq/fvsXjR4/FVofHz55hzrx5eP7yJd6lpODV+/ffvc8INqpCSSnvD99i0y7v3X8IgwcO5pG8if29O3XogNLqxbF7jzuPkv8ybswo+F30x7WwUB4p2FjycMTTC+xToVuXHjnWekkIyV4/TRwsrawQezsWVatUQQvzpmKsZdPmqGlcFfWr1U6/r10DdaqaiPdOK5eK+ygqvxSACvIPwqN7cbDunHcrKbIkbsCAQYhPfIj9Bw/nu1LZ2cnYxASdbW0xffpManXgWG0Lr6PHce/BPfTr06fAjzwhJD/4zzoOO3btwJWgS3jx5i3c3d0xoF8vFC2iJm5jrQSsU6Nw3MeHD2lo1bYdunXN2EEzPxSA6tKtJwqrqmDXtm08kvc4znfEqiWrcP5SIEyMjHiUyCs0JATNWzbDhQtB4gRwJB2bDKuZuTn69+6N5XTpi5A8Te4CUImJyajboA4iLl+BRqmsLaGcHwpAsU6Rv5eviLMXzqNx4/TWmbzm0IFD6GnXAzt37kG3bl14lCjKopUFygjvkV17qZbBl/z8fNG+fQfMnT8b48ZM5FFCSF7z00sVX9LU1EDcrVsooVECicnJ8PHzwzFvb8TGxuBVJptl80MBqMP7DqBiZX3UM2vII3nLjevX0XfwQMyfPYeShkxauHghDhw5hEshl3iEMObmLeC8ei2mTJ6OvXv340PaB76FEJKXKHS0/vTxI3p264FK5cqjTfPmaN+uHapUqYp6xsbw9jzG98qYvF4AatPWrejRo3OerNHPWktsOrZHZxsbjKZZDjOtuokJmjdrjlVLVvAI+azvwP6YN28Ohg0bgiuXInmUEJKXyJ04sMN65+6d4eN7BjPnz8b5c2dx5Uowtm/fCR3t8ujSrRvCrmW8N3leLgAVEBCA2OgYjBozhkfyjnevUjFswCCoqRaDs7MzCrEOKyRTWPI4a+5cHDl2BOER4TxKPps4eQp69eqOTp3aIiI6ikcJIXmF3H0cwiKuoXEdUwSFhqBmzZo8mu5jSgradeqAShUqYuNGNx5VzDqXdSiqVjTP9XH4+OkTOnWwRqmyWti2ZQuP5g1vXr2CfX97PH6YjCNHD6JM6TJ8C8kKI0ePQlhIKM6e80URGp3yFfaZ4ThzHg4f8IDr1q1o0rQJ30IIkTq5Ty8f37uPIsVV/5U0ML+qqKBu9ZpIuH+PRxT3Cb/wpbwlJvpPnD7ugz/Gj+eRvOHdu3fo0ssWcX/Fw8fnOCUN2WDebEdEx9zExk1UC+Nb7DNjwZJ5sHXoA4vWFggMDOBbCCFSJ3fiYFTdSCz+dPQ7JXXfvHkHbyFuqKvPI4phoyryah+HTZvWo2mrFqhmbMwj0sd+36vWrMJFP39xAquiRYvxLSQraZQqhYXzF2PxQlZxlYoffc+M8TMwymEcOnXqhNi4OB4lhEiZ3ImDtrYOunbsjH52dpg1a5ZwluqLgMBLcHVzQ5s2LRETEwt7hwF8b8Xk1VEVyU+fwsNjlzgJVF5y0vsMFi2Yhz3b90PfwIBHSXbobttVSNSA7Tu38wj5Envvz1s+E6aNzdChdRsqTU1IHqDQ0XrDhg2w6dgRq1atEpOFJo0aYNiQIXj5+i1OnDqB2kYZK3iTV1sc/Pwv4H1KCqwtLXlE+thZ3eDBfTF4qAPadco7zzuvKlWqFKZNm4W5jo548SJ75nnJ6wopF8Fu991QUS2Mfvb9qOomIRInd+fIL7EJr65GXsPrl69haGggtkZkVl6sHNmpSyeolyqJrRs384i0sXK/bdu2EZdPnPHNk0NH86JXQnJZq0pV2Pezh6PjXB4l33r48D7q1q6LVhYW2Lh5M70+CZGoDF0fKFK0KBqaNYSF8AbPiqSByWtzVbAz9yOHjmDEEAcekTbWqjNzzjxERcdi2w4P+lDOQcVUVDBq3HAhOV4v9gci36elVQGHjx/HoUP7sGJ5xua9IYRkP8l0LFDOY30cDnrsgpGRIaob1uYRafPz9cOaVcvgvm2bkOxV4FGSU4aNGo8ypbQwdeZUHiHfY1q7NnZu2Y9Fs+dg/4FDPEoIkRLJHK1T89gJ8J59h9C1a3cUKir9hOd2XLw4B8WkSX+graUFj5KcxAprTZ3+B3a5bUZCQjyPku/p0M0a0xfMgb1dTwRS2W5CJEcyRz0V6TyV/+Tv74/o6Eg4jJD+ZQrW0Wz86JHQ1tbFzOnTeZTkhq49eqCCrjZWrFjDI+RHpkycAvtevdGtQyfcv5/Ao4QQKZDM0TolDw2q2OrqBktLS2iW0eQR6Voyf6442dLBwwdRiKoX5irWr2Tlamc4uawRJxUjP7fObQNMapuIHXqTkp7yKCEktyk8qoI1s0ZHx/C1r+nq6kJfX/EiUHlpWu3kVy9Q9fffsVo4APTs2YNHpenSpUto3bq1OIzWzs6OR0luYi1AbS0sxKTTY68Hj5IfSXr6VHgNN4dWmQo4cuQQJb+ESIDciQP7wFsgnL3OmzOPR/5t1KgRWLvWma8pxsllPYqrqUo+cfDw2IshQwbhwYMHKFZMuhUXnyYloVGzJmjWqAVc3dbxKJGCECGhayL8bc6fvwAzMzMeJT8Sfz8BDeuawqp9e7ht3MijhJDcInfiEB93G1WrGqOVZSuMGzMOampqYCP6PtdqYculSmhBR087PaCAvNTiYN60KcxMzbBYwsPFWJI3cuhInLvoi8sXg8TSx0RaevbsiYfxj3EqwBuFlArxKPmRkPBwtGzSBFP/+APTZszgUUJIbpA7cTjp7Y227drh2ZMn2XIgygsFoGJiY1G3dg2cO3sedU1NeVR62PwTA4YMwtnTp2Bq1pBHiZTExMahhnEV7N2/Bx1tuvAo+RnPI97o1qMDtmzZAju73jxKCMlpcneOLFs+vdCTsoqKeJ/V8kIBKK/DR8XRCYa1pVu7IT4hAWPHj8WECeMoaZAwA31d4W80CdMmzqQJsORk09EKK1evxqABQxAQQLNpEpJb5E4cTGoYwtrKGnMWLBBLF2c1qReAYs3/W9zd0a9PHxSVaNXFN29SMWTQAOjr6WMWlTaWvEkTJuBh0kO479zJI+S/jHAYgVEjHNC2bVuER0XxKCEkJ8l9tH6anIzIG9exZskSaFWogN8NDGDwzW3R/Pl8b8XJVP7Hl6TJ68BhPEtKwhAHadZu+PjpE6ZPH49HDx9g94E9eagqRsHFLvnt3uWB2dOnIzAokEfJf1mwbBmmzpyJzm2s4HPyhPjaJ4TkHIVGVURFhPG19E6RX554s/Uy2hWgq5WxcsYuLi5ih0up9nFo2rQhTExNsXb5ah6RllWrVmDu3PkIDQuHnm7WzB9CcsawYcMRGOiHy2ERNIeIAra6uWHYyJE4uH8PrG068SghJLspXMchO6SPqnCTbOfI2wnxqPZbZXFG0GrGxjwqHWEh4WjWsgk2rNsAu95UryGvYX0cqlapgsEOg+E4iy4xKWLZqlWYO2sWvLyOw9y8KY8SQrKTwi3arpu3wczMFIUK/YpffvkFFSpoY+Tg4bgdn/GysEpKSpLuHOm0YgXqNKovyaThXUoKho0eAotWrShpyKNYPZBZsxyxfoUbEqi8skImjRuH/oMHwq5nD4SFhvIoISQ7KZQ4zHWchWGDBqCwamFMGDcBs2fPRgtzc+zw9EDrls2RmJTI91ScslL2jNbILNYR1MvrJGx79OQRaVmxdDHi4+LgvC5jhbeINPQb2g86+lqYMnmyeFmQyG/Z0uVo3Lgxutv2Eqe7J4RkM3apQh7PnjyTqampyZYvWcIj/7hz565Mt1w52byF83hEMZ8+fZKtW+csc3d35xHpuHDhPLuUI7t79x6PSMfVq1dlqqqqsj179vEIycuCg4NkxYX32LlzZ3mEyOv9608yK0tLWU0DQ1lYRBiPEkKyg9wtDsFXgpCaooSR48fzyD90dLTRUTgjD7oUzCOKSb9UIc1xALv3sQI9XaGtnbFOn9mFtYSwoZdWljbo0aMbj5K8rK6pGWw6dsXYkaOp1UFBbHr7nbv3QEOrJJo2bIitW934FkJIVpP7aM0uJSir/HgKSyVlJeGLZfzgr6wkvekxn754gc2ubhjq0J9HpGPJqlVisSfnddIc5UEUx949a1cvx8OnT+G0cjk+pH1I30DkoqFRAnv2HYSNjRWGDxstVlAlhGQ9uY/0terUEe+dnVaK91+Ki0/A3r27UMsofZ+MSJXgGZb3sWNQV1dHvfoNeEQaIiIjsWDObCxfvRaamtKf2pvIj9V2mDFjGhYtW4HH95/wKJEXm3V0266DWLxooVh23ffMGb6FEJJVFBqOOW3aNKxYsQwNGjVFQ9N6UClcGLfjbsPH8wxU1JQREhoCLU0tvrdipDhXRYf2HVBSvTS27tjMI7mPjaJo0rAxDPT1sMuDpmXOr8xbmKNEoaLY53WUajtkAGu/nCF8Xjk5OcFjlwesbazTNxBCMk/s6SAn1olxw7oNMuEMXKaioix2GixfvqJs0IB+sjt37/K9MsbZWVqdI+8+uCf+jKzDmpQsWbBApq6uLnsgPD+Sf12JiBBefyqyfQcP8ghR1CfhNmHqBPH9cvyoV3qQEJJpVADqBxYvXozt27fjxo0bPJL7ImIiUN+kPjax2QF7SnN4KMk6C+fPxXrhfREYcgnaGazIStJbSlnLw8HDh8V6J4SQzPlp4vDw4X3xZmRYHfj1V7HktBK+aTZlq6msaTAVZcpoQls7Y+WOnVycUFytuCQSB5bImJqZwtLCAvPnL+TR3PXq/Xt0t7JGmvB3OHXqBI+S/IxVlKxfvwFaWLSC82rqBJtRbITKnFmzxOThqJA8tKDkgZDMYYnDj8yePTu9hsGdO7IHDx6Iyz+7jRo1ij9ScevWbZDMpYobN2+JlymiIiN5JHc9efZMZmNlJTa53rl7h0dJQXD+wkWZmvBaPH78BI+QjHj/8aNs6tSpYi2ao4fpsgUhmfHTFofYmBjExsejWaMWUC4EnPbx+dzAACVlZSgJmfznZRbX1tWDob6esKSY9EsV66GqKo1JriaPn4jAS4EICJTGjIUzZkzBggVLsFo46xwzZgyPkoJi4ODBuBx8EUISAY0SGjxKMmLKtMlwXe+GvR4esLC05FFCiCLk7uPAmvtuxUajir7hd3t5x8bG4sXTZNQ1M+URxTi5rEdxNdVcTxzeCD9nNV1d4QNmGhwkMIV2QGAAWjZvjnGjxmDx8uU8SgoSdsmiZq1asLa2xjLhNUCjLDLnc5+H/fv3w5KSB0IUJncdh+dPk1CjWg3x/nsmT5mImfNm8zXFSaUA1OWQS3jy5JHwIW3FI7lr9MixsLLsiPmUNBRYbBKsdWudsXWzK4KERJJkzuy5czFuwgR06tAJez128SghRF7/mTj06dsHNWrWQvMWLcX15i1aievf3k55+6B6jZriPhnx8eMnvpS71q1chR62fTLcyTOrfExJQZ/+/aFaqDB27tzybZdUUsBYWlli8cLlsOtlh7CwMB4lGcFabOY6OmLvwX2YPmMGRo0ciucvXvCthJD/8p+XKhIfJiIm7jZeP3uGdu3b47iXF9RKluRb/1G6uBqqVjMW553ICNf161FYNXcvVVy/fh116tRCWHgEjAwNeTR3uAi/DzZT4vUbN6Cjrc2jpKAbPnIkvI4eFYcJs5YIkjlJT5+iQ/t2ePb4ObxOn4C+ri7fQgj5kf88ymtqaYqTxrRs2RKbNm1Ck0aNhDeXjhhjN3Xhw6t08eKoZlwjw0kDkyKBKxWHDh2CUfWa+F1fn0dyR1x8nJg0rF65nJIG8pVVq1ejlIYGBg3ogw9p0pvfJa8pU6oUTp06DV09XbRp3RphoaF8CyHkR+Q+0hcqUgTVjYxQtVo1LFqwiEeBAx67hINtdfFAl9EZ/dioCin0cTggJA7Wlla52vmM/Q4dZ8yCoYEB7PsP5FFC0rHXprv7Fnh6noTn/v08SjKDtdwcOe6FWsLnWNt2bREYQP1ICPkZuRMH1rO7u31P6Orqwd7enkeBEeMmwHntGqxaswqHMvhBJoVptcPDQhETHQWHEUN5JHecPHwU+/YdwMZt26j3PPkuk9p1sWDBAgwYNAhRt2/zKMkM9l7bLXx+sYqsbdq2hbfnMXG+C0LIv8k9HDMkMBBNmjfDnTt3oPWd8rd2dnZITXmPvfsP8oj8pFDHYfjw4bgtfAifOnWKR3Leh3fvYFizOmysbLB69b9nISXkM9Yy1dGyHd68fYXTZ8+KLYIk89hn0cLFS4XEbDYWL12MMSPG8S2EkM/kPs1//Pw5iqupfzdpYHR0dfHs5Vu+ppj0vhG5eHlAOGCzTp+dbTrzSM5jB4LpM6eLy0sWLRDvCfkRdoa8ZZc7bsfFYXYmhkGTr7HPohnTpoglvqeMd8TkKVMyfAmWkPxK7sShZnUjPHn2DIGXLvHIP968SUWgvz+qZ6JTYWpaCl/KeVeuXMW9Rw9g1dWGR3JebMx1uDhtxrIFC+jskciFTWHv7LoZq1aswhmfkzxKssLAwQ7w8toLN1dX2Pe0Ez7jXvEthBC5E4eyFbTRpnVLdOrQHvPnz0d4eDjiYmPFGedsu7fH+QsXYDugD99bccq52MfBbZsbunbtDm3hgzg3sMRryOBh6NrdCl269eBRQv5bJxsrjJs0AXa9eyMh4T6PkqzQysISFwICEBjgj5bNWooT/hFCFEgcCikpYduuHbAwb4WZM2ejVq1aqFylCrp27ozo2Js4evwETGvX5XsrLjWXrlQkP30Kz0PHhMShK4/kvCOHdiAyMgaz5kpjJk6St8ycOh/G1Yxg16Mb3r17x6MkKxgbGSE0LBRKKspo1KQZQoRlQgo6hU7zNctoYsdeDzx78hhensexZ89OBAdfwZ+34mBjlbma7yqKPZUs43fxovB/Kpo2bZoeyGGJSYkYP3Ga8OE/iYrPkAwpWlQZW7ZvE/s7TJ89k0dJVmH9us75+6NR/Xpo3awljh89SiMuSIH2P0cBX5YL6ygkU1ZGpd8qQr+aMcqoayLlw3u8fPUUTx4/hrrGv6tKyiMoJBSFVH6FiYkJj+SMxcJZ/m+/aaNfv348knPY73Ls6DF4/fIFNm3fDuVMFNAiBZt6CXXUMTPD6OEOqFRZBzVr5Oz7KL9j7812nToj5WMKJk4ah/8pK6Fe/Qb0niUFkkKv+h27tqFe7dqoIpwZV6lSRbjXh3EVTVQxrorfKv6OVWvWZigTz60CUC+SX+CQ5yH0H5w7s2BeCQ3Fnt17sHatM9VsIJlm3rgxFs6Zh+HDxuJ6eDiPkqzCLteyOS7ct+zEgnmLYN+jp5D806UhUvDInTgkv3qBiSPH4+3bV+hgaYnXr1+jmrE+mrayQFrKe+gb6mOIw/AMXXDIrQJQBw7sgbq6Gpo3acAjOYf10h45ZDh69bFHU/PcuUxC8p8JU6ago40luvayRQJ15ssWXbp1wdkL5xEZHYn6pg0QExPLtxBSMMh9tI66dg2Pnz/D8RO+2LB1Kxo2bogmzcyxY9deBFwKQUJ8PF6/eMr3VkxutDiw7+bt7Q2LVpa5Mvxx9549iEuIE85gZvEIIVlj3YaNQjKuguEDhos1SkjWMzWpjaALF1FSvTRM69bFiZM+fAsh+Z/cicPLZ89Rumw5GOind+CrblQdly9fFpdZp77OnTti+5ad4rqicqMA1JtXr+Bzxh+denTjkZxzOy4e48eOx/Kly1GhAk1iRbIWm3vh9KnjCAkLwbjpk3iUZDWNUqXg5XMSEyaMQccO7TBt1gwqFkUKBLkTB/WypfH6+fO/3xh6erq4ef26uMxoa+sgOi7jdfNzugDUZvctKKWpjtatLHgk5yyc6wgDA33Y2/fiEUKyFktI9x/cix1u27Bm1QoeJVmtqLIyZjnOxaF9B+C63hXdO3WiS0Qk35M7cahZsxZ+16uMHt26IOhiICws2yMxMQlLFy2D9wlvHNi/D7/rVOJ7K+5/v8j9VDLt3dtU7Ni+DUP7DsnxToluG11x8uRJbPfYSxUiSbZq2rgpPI8exqrVTpg/bx4+puReddb8rl2HDrgWEYGqv/+OJg0aCicHi/Di5Qu+lZD8Re6jdVHhIHfEyxO/qqgiPOIq9HR/g5PTKixauhDtrNpBtVhxzJiT8ev1v/yScwfwy6EBuB4RCftBGa90mRGxsbEYPWosVq9zRbVMlOcmRF7NW7SCp88pODmvxaQZM3iUZIeKWlpYsmoVjh33hqf3YRgbGcPHh/o+kPxH7tkx2SWKK6EhqFOz1ldnyiz+LCkJWsKbJjNcXFygppYzs2OOHTsacbfjcNTLi0eyH/s9tWnRAhoaJXD4aM59X0IYPz9ftG/fAXNnzsSYiRN5vyKSXdj7fbSDA9y3b8fMmdMxbtwkFC1KLYwkf5D704MlDY0aNMKVq1d5JB1r6s9s0sBGVSgp5UyLA+tlvnnzVvSyt+eRnHHM6yiCgy9j3tLlPEJIzjE3b4GN69Zh2pyZ8Njl8XdfJZI92Oeiq5sb9u3dj1VrnMR5fmLj4uj3TvIFuRMHFX5gV1VVFe+zUnodh5y5/nry3FmoqCijaYtWPJL9Xr16hdHDR+KP6ZNgbGDAo4TkrJ69e2Px0qUYNGg4Lvj78SjJTh062iA0NBTFShRHYzNT7NyxlW8hJO+Su+S0RpkyiLl5A5s2ueLN6/d4/vQJYm7fxp/R0X/ff/z4EWXKluWPUEzYlXD8+qtytpecXrliGUqpl8TgQQN5JPvNmT0bt/6Mwbbtu1FIRYVHCcl5ZqZmePvuFcaPGw9z86bQ1v6NbyHZRUNdHfb29vj46T2mTJyD2JvXUVv4O6gLyQQheZHcfRzYCIpy5X6eFIwaNQpr167la/JjlypcXddDVTV7+ziwZsJyQgK0ztkZPe3seDR73RaSKuNqxti0cwvsuvXkUUJy19Chg3HkyBGcOnECJpmY1ZYo5vr1CNj3skdSUhI2u21Gc0sLKjdP8hyFOkfeio3ma99XtmRZaGpq8jXFOLmsR3E11WxNHA4ePowBffrh0dMkFMmBM3/2O2trYYFiRQvjqJc3jxKS+9hrc1DvgfAL8IWvvz/NzJqD2NTnixbNw5Ily9C9c1c4b9iAEiVK8K2ESJ/ciUN2W7/eJdtbHOzseiItNQ0ee/fySPY65n0MPTt1wcUrV1DD2JhHCZEG1lG4V69eCA0LhY/PGRhQ/5sc5ecfgJGjh+P961dYscwFlu2p9YHkDT/tHLl8+XIYV6vG17JXajb3Nn71/j38fP1gaWXFI9kr6Wkyxo8dhTFT/6CkgUgSG1bNhguaGJugbbt2uBETw7eQnGDetDGuhIbBpmMn2Np2wTCHwUhIoKqTRPp+mjiwGTBZ34YveXkdRQUtrX/FM0tZuTBfyh4X/Xzx7NlzdO3anUeyF+uz8e7de0wYNYZHCJEeNq/F7n37YKivD2shebgZS8lDTmItDCuXr8S5oHO4FnwNprVNsHfXLhq2SSRN4SowKSmpePn6OVKzuHxtWlr2vlFcXd3Qp49tjhRhYR++ixYswOKFq8WJcAiRMvaeOHToEKobGKJNq1ZihVOSs8xqm+FC0HlMnjIF/QYMQldLC3G0GiFSpHDi8FlWFmzK7gJQSUlP4e/vB4tO2T8TJvtZps+YAdNatWDXuwePEiJt7LLF7n27UdvEDG3atkVEdBTfQnJK0aLFMG7CBFyOCIVykWKoa2KC+Y6zxDowhEhJhhKHVOHgmJWyuwBUUHAQUlNS0aJ+Ax7JPv7+/jh25AiWLKcKkSRvYQeunbu3iC0PbVu0QnhYKN9CcpKxgREOeh2F89rVcN28GfXq1YHPmTN0+YJIRoYSByUoC/9lbfKgrJR9wyMP798L686doVFKg0eyB+ulPnz4SAwY4ABTMzMeJSTvYMnDvgP7YN6qFdq0bY/AS5fogJUL2Adz7/4DERZ+HRaWNujSri1se3RDfBxdviC576eVI/38/HAh8AKKqhRFcFCweGOxiMhwFC2iivAr1/6OBwUF4M3rt6isV5k/Wn6sef/KlRD8+qtKlleOfJqcjAH9BmLxkoXQq6zHo9nDdcsmHDlwCAeP7IdaUTUeJSRvUf71V1jb2CDh/l1MnfwHahnXgL5BFb6V5JRfhFtR1SJoa2kBi7ZW8Dx6DDPnzsWz58/QrFFj8e9ESK5gdRx+ZPbs2azGg9y3CePG8kcqbq3zOpm7uztfyzoHDhyQlS1bWvbs+UseyR53796Tqaqqyra4b+IRQvK+qVOnytTUCsu2bN/OIyQ3bXffLjPQ15dVrFhRXH7/9i3fQkjO+WkBqDevXuHl69fi8v+E26cv7r+HTYtdtFixDF3/cFm7FmolSmR5ASibDtYoV7Y8Nrpt5JGs9+HDO9hY26BYSQ14bN+DXwtluM8pIZLj7e2NiePGob5ZfcyaNx+6v9H8FrnpY0oKDhw6iO27duHurb/Qu18vdOzcFVUNqvI9CMlekqkc6bTeBcWzuHJkfEICKgkfclE3b6JaNlXFYz09pkycDI+9Hvgz7hYKKdOc+yT/EatM2veCr68fvA4fRmNzc76F5CY2F87YsWNxxucMutvaYvqMKaiiTxVASfaSzKmxSjY8la2sR3KdOtmWNDBxcfFw2+yGhfMXUtJA8i1xuObe/RjqMBSt27SF6+b1Yt8kkrv09PRw4OhRnL9wDjFRUahZwwSDhw9HYmIi/X1ItpFM4pCSxa9x1hOczRVhYZl9JabZ95g4diRMTevArnfOzLZJSG5hVQ5Zguy8wRkTh4/FmPETacSFBBRSUhI+g8xwKTQE+w8fxJWAS6hatSrGC3+f5KdP+V6EZB1JJA4sM1bO4uGdjxLiEXUtCp072vBI1jvv64szvmcwb95isRYFIfkde50P7D8QXsdPYZ/HDnTv0Ek8uyXSYC2cKIWGh2Kt81r4+Pig8u+/w9FxFhIf0t+IZB1JHO3SC0Bl7VPx9DwGHT0d1K5bl0eyFrvmO3b8eNjb9xOy/ez5HoRIlXkrc4SEhiE27jYaNGqE6+HhfAvJbezztLddb9y4cR2rV6/ETvedqFSpEubOnUtJHskS+bbFYceOXejTy56vZb1165yQnJwER+HNSEhBpKOtjeDgYNSrVw8NmjQR3nPb+BYiFX379kdUdBS2bN+C7du3okqVKhg+Or0PBCEZJZkWB7BqlFmE9TSOjolECwsLHslaiUmJWLx0GSaNmwrNMmV4lJCCh82uudfDAzMcHTFo0BAMHTwU796941uJFLCOrT179ERU5A04r1uHS36X8PvvVeEweDCu04RmJAMkkTgwWTlXxZmTZ6BZSgu1qlfnkazDOoONHz0eFSroYPzEsTxKSMH2x4QJOHX2LLxPeqN1y2YIi6LpuaWGJRC97ewQFhGG7e6bcC06EjWrVUVfu94I8PcXh5YTIg/JJA7KWdjHwdP7CGy6dhTfKFntWlioOAXx8pU0iRUhXzJv3BgR4eEoVqIkWjY2w/79e2nUhUR16tJFSBYCxekCHjx+hHbt2qFpw4Y4JiR+rP8WIT8jnRaHLLpSkXD/Ic6cOQN72148knXYh+DI4cPRy9YWLagADiH/olGqFI54HcOsqdNhb2+PAX1704FIotgl4rp16+L06dMIDAlB7dq10aVDB1SvXg/zF87Hu1eU9JHvk0zikFUFoI4c2AddHV0YZPFkWczuHTsQHROLWfN/OC8YIQUeq/cwbvJEnD17DkHBl1GzTi34+fvxrUSKjAwNsdbZGXfv3UOfgbbYstEVFSuVwdixoxEeHk6XMchXJJM4ZEUBKPYl/Px80aJVMxQVPryyEusQOWPaNMycOhU62jo8Sgj5kcaNGyM6MhL1atVDm9ZtMH/uXOo4KXGaZTQxY+oM/HUnAavXrkVYWCjq12d/v9Y4ePAQXr16xfckBZkkEoesGo75UfhQ8jnjCyubTjySdRznLEEJjVIYM24cjxBC/gvrZ7Rj1w4cOnwYK1atQiOq+ZBnsFoQp/0CEBQcDgODyujTpzeqVauCyZMnIyEunvqvFGCSSByyqgDU7t27UUatOFpbWPJI1giPCMf2ra5YsnRxtnS4JCS/a2dlhZu3bkJHT0+s+TBl2hTq+5AHsHLWtU2M4Ozsint372Lu3MViH7IqVavCum0buLltpr9jAZSvWhz2HToEiw4dxBd7VhErRI4cDStLC7S3tuZRQoiiWDP44f37sWHDBuzYukOsOBkQGMC3EqljHV/79++LsLAwcVItPUMjzJgxBeXKlxc7jfv6+VIrRAEhmRaHzBaAepqcjJBLgWgpHOCzkueJEwgOvow5CxfzCCEkM+zs7HDjxg0YGBigZfPmGD1+LE3GlMewSbU2rF2LxMQksS/E9ZvX0a5NJxhV1cfSxYsRGxtDSUQ+JonEgZH98okvZcyx414oXEQV1m3a8EjmRVy/jpFDh2Dzli3ZOjU3IQVNCY0S8PDwwOWQULx5/gb169fFlImTERNzk+9B8oq+vXvDz9cfCff/xLp165Hw6AH69x2IurVrw15IEre5b8PNm9FIFk7uSP7wi0zAl3OVk9MaFC+ujr59+/KIYkzrmqJj186YNmUKj2QeG9fMzorYBxwhJPs8TErE+NETccRzH3r16oOlS5eilIYG30ryItYK7OPtDbetm3El+LJwlqoMw5qGsOvZG1072kBdU1McukvyHsm0OCgrF+ZLimPNYtcir8LaKuv6ICxdshD3HyZgnbMzjxBCsotWGU0hQd+BE14ncDn4ImpUq4b16134VpIXscSvp50dfM/44vqN69i1axvMzVtg8eL5+L1qVbRu0RQLHeciNi6OP4LkFZJJHNLSMn497ISPLypWrAgDfT0eyRw2c9yKlWswZdpMsUMQISRnmLdoISQOV+AwZhSmTZsBUzMzXLoUSNfL8zhtbR1Y2dhg4fz5SEi4D6/jx9HQrCkOHPNElcqVYWZmCsdZjmIdHhqlIX2SSBzYqAolpYw3WZ09eRLmbdpkyVBJ9lxGjx2LCtoVMGbESB4lhOQU9j6eMWUabt64KRxwtNGsWTOMdnBAfNxtvgfJ68ybNsXipYsRFhqKW3/9BQsLS3j7+KB9+w7iKI3hw4bA89gxJN6/T0mjBEmnj4OLE4qrFVe4j8OL5BcoW640zp87D7OGDXk04wIC/NG2bRucOnEaDRs35lFCSG65FBiI4SNHIjb2NiZMGIMJQlJRrHDGL20S6bovJAoBAQE4dMQbJ48dQmqaMmrW1EerFlbo2r0jDKoZi/tR34jcJZnEYf16V6iqFlY4cdjsthlz5zriVlxcpl9Mb96kolGT2sILtR62bd3Mo4SQ3MbOOvft9cC0KTNQpIgSpk6agV79+9IBJB9jlyyCg4Pg5x+CM2c8ceFCEH6rWBENhRPEhmYN0cLSQpxjg+Q8SSQO7PKAq+t6IXFQUzhx6NSlE0qVUsemjVt5JOOc1qzC/IULERFxHZqamjxKCJEKNlfCkmWL4OK0XjxoTHOcgZYtLCiBKABYrQ9Pz2O4EOSHwEtXxHlQ9PR0YW3ZBtXrmKFBvVrQq1qNXgs5QEKXKtajuJqqQonDi+T3qFJVG85r16Fbj248mjEPH95HtWrGmDVjBsZNmMCjhBApShDerzOmzMCRPftgZt4QS5Ysg6GxMR00CgjWAvU4KRE+3idx0scHAX7BeP02Eerq6jBv2goWrVrBtKEpypeviGLFivFHkawioUsVLgq3OPic8UGHdh3w5NkzFC2auY6RXYTEIyE+ASGXLvEIIUTqWJG2BYvmwfOAJ6xtLDFn/mIq1lYAfUh9h7u37iH0agguBF2E11EvPH78CGXLloOBgT7q1jWFpYUFGjRtSsllFpBOi0MGCkD1H9gbr1+nYP/evTySMX6+vmjTtg3Onz8PM7PMd7AkhOQsf39/LHKcC7+LF2Fh2QKdO9vC1q4nHSQKsNuxtxEaFoprl6/gUuglBAVdFuM169REXWMTGNWqjpq1aqFOzVo0eaGC8mznSNZxplKlyli+fCnsevfmUcUlv3qDBvXroFUrCzivXcujhJC8yNfPD2tWLRMSiUDoaGvjj5kz0dnamg4MBRibPvFz3QE2au6krx9iIiMRHRWF27fjhO2pqF+/HswaN0VNIyPoGxpCT1sHpcqU4Y8i35JM4uDi4gI1NfkvVQRcCkHrlk1w6+YtsbhIRq1asgRL165GeHgENOmFQki+wPpArFi0BJu3bhU/H+bNmwlrKxtKIMjfWD+Jt29eIfLqVfgFhOBy8GVEhIfg5bPnSBMyDS0h8WzUoD6Ma5iIiYWBnr5wcqsKpUKFCnxLliQSh/RRFW4KtTiw0Q/enscQeCmQRxR3IyYGdYQXhfuWTehhZ8ejhJD8Ij4hXvxsWbVshXAmaYQJ40YInzH9+VZCvvYh7QMeJDwSXzfR16IQERWJ4JAQREVeE+fa0NHTRcXy5VBVVw8GtU1Qq3p11KxZq8B1wJROHwcFC0BVrVIFDiNGYMyYMTyiuPbt2uHdxw84ftIHhcSpvQkh+REbNbVkxQps27xVvITh4DAC/fr1oRYIIhd2afxadBQir15DXFw8IqOiEXc7BrExsXif8h6VK1dCVWNjGOrqo6KuDqrq6+O33ypCT08/X77G8mQfh6joaNQ2qYEbN29CT8j8MoJ1qOzTpx+CLgfBpIYJjxJC8jNWB2LOvDnYsW0blJWUMWvhfHS0sqa6LSTDoqNjEHIpQDguxSIqJkosjf408S2ePb+PlJRUGAhJRM1adWBoZCAcr3ShK9zKlCmD0iVLQ6VYsTxZBVVClyrkLwC1fNkKbHFzw9Ub1zN0rYlNYtWgfl306+OAWXOn8SghpKBITErCgd27MVdIHFTSCqPnQDv8MWEC1DQ0aCQGybTkF8l4/fyleMkjLi4OkTGxiI2KQkREFO7dixf3UVVRhUYZDZQvXx46OtrQEU6CZ0+fnidaKCTT4rDWyRkliheTK3GoV68ebNq3x8xZs3hEfu/evUPnrt3APhsO7NuPQoWoqZKQgop9Hly8dAnHPT3h7X0COr9VhKVFG/EzosJv2vj1f//jexKSNT58+IRnzx4Lt2S8fJmMB4+S8OblcyQ9e4oJ4/JG8UHpXKpwcoFq8f9ucWCzqTVo1ACPHjzK0JTX02ZNw57tO3DlSjhNmU0I+Yqfvz/WrFmFI0eOoEm9Jujr0Bf9e/eHEvWBIuRvknk3pMrZOrh7z24hcWiaoYN+SFgoVi1ZgxXLllPSQAj5Fzbd8+GDhxF54xZMTGtg4tjJqKKji7nz54rNzoQQCSUOKnI8FTbu1ueMH8zNm/OI/Fiv2PEjR6OjjQ06devBo4QQ8m/GBvpYu9YZjx7cwwAHB+zevhOVfquE/v37IjAwEO9SUviehBQ8kkkcUlh5r//w/GkiYqOjhYO/NY/Ib8PGjeJojMUrl/IIIYT8HOuoNm3aFFy7cQPnL5zH82fP0LJZM9QxMcHqlcvFURqEFDSSSBzYqAplpf/OHI4d84ZWSXVxFjxFxNy+DUdHRywXkgY2hpsQQhTBRlo0bdwUh496Ifz6n+hjb48Vq1bht99+g11vO5zx8+V7EpL/SSJxYB2PUlmNz/+w1+MAbPsPVGi4FGtSnDJ2MqpXrw773lQxjhCSOQYGOpgybRr+jIvHuo0b8frZS7Rv006cln/5qsXi5EqE5Gd5psUhMekhgoMD0apVUx6Rz84d2+DrdwabN2+l8dmEkCzDPk96duuGo8e9cOfeX+jevSs2rd+CKtWqol27tvDyOoqnycl8b0LyD8m0OAA/P6gHilOiqqBmnTrpATkkJiVihnBmMG7SGOjrZ6zCJCGE/BfNMlri5dArN24g6Px56OrqoXtXW1SrWgV2dnYICAjgexKS90kicWBS037eS/mCrx9atGqKUiXkG0bJRmAMHzYMBnoGmDXDkUcJIST7FFVWhmnDhnB2dsbjJ4+xfKUzXr98jdYtW6PK71UwcfwUhIRkfGI+QqRAMomD8k/6OLAkYP9BD1hbyz+awvvwQXgfO4mVG5ypeAshJMexGRN72/XAUa+jePDgHoaMGIKAS35o1qQljKvVwOKlCxEaGiZ+vhGSl0inxeEnVyquhYTgyeO3cicOcQnxGDBkmPDGXIy6NIEVISSXsYJzE8dNxPmAQNz88zr69OmF7e470bx5I9SqUUO8zHH79m2qD0HyBMkkDj8rAOXpfQy16hiIM4rJY+LYiTDQ08ewIUN4hBBCch+bvl9HWw+Tp0zBjRs3cDn4CoY6DMWRI56oVq0qGpjWxdjRI8XS+h/S5ChuQ0gukEzi8LMCUAGBATBv2kKuSw7b3LbCx+ckNm3bSnPtE0IkrWq1ahgzagzCw8MQfDkcdj17I/x6hDgfT01h29ixo3HU84g4GRchUiH5abVfJL9AuXLlcP7CBZgK2fjPPHx4HyYmJhg1ahRmzFB85kxCCJGC5KdP4ebujtMnvREWFoa3r9+js2138XKtmWlt6GjrUt8tkmskMzumk8t6FFdT/VfisH69C5YtWYy/7iTwyPexDkYtm5qjaLHC8DzhIzYJEkJIXpeYnIyrwUE4ePAgjhw6ghQhidAx1IelZSv0srWHXtWqKFa4MN+bkOwniaPrzwpAeR/zhpVVe772Y1vcNuNaZCScnddT0kAIyTc0NTSEJMEKbsJn3J27iThx/jTs7WwRGBCC+vXrwVhfHz06dcLyVWuQQDN4khwgmRaHdRtcUbRI4a9aHJKSklBFvwp279uLthYWPPpvez084DBiOPYd3I9WzVvxKCGE5G/PX7xA5LUI8XbrrxhEXLuBR48fonLF31DZUB+GVaqiajUj1K1bF8WKFuWPIiRzJJM4sEsS3/Zx2LVjB8ZPHo+7CQ9/WC7aLyAAbVu2xs6dO9GlWxceJYSQgom14IaEhiL4YhACLwXAX/iMfPbkCYyq14S5WUPUbFAfDU3rQl/fgD+CEMVIp4+D0xoUL67+VeLQza4btDUrYOXK1TzytRdCtl1feBM0qt8Am7du5VFCCCFfCg0Ph7fnMQRfDUJEaATu3buH8uXKoVO3bqhXpw5q1qwJbR0dlNLQ4I8g5Mck1OLgClXVfy5VvHr1BmVLlxarrln84DIFm2DmauQ1XL58RazSRggh5OfevXmDew/uIcD/EvwD/eDrcwbPnj9BYRU1VK9uiLqmDdGiRVMhoagHFeFzlTpekm9JJnFwcXGBmto/lyp8fHzQrUtP/HnrBspoaYqxL23z2IFh/YYhKOgiTGpTdUhCCMkoVrUy4no0IqPCEXz+gpBQBCIl5T309fShr68Po+rVYWpmJnbG1Czz789jUrBIInFIr+Pg9lWLw7RpUxAQ4A9//39PCBMRGYkGwot48eLlGDXKgUcJIYRklfDwcAQFByMqKho3b0QgUvjcffz4CX6rWBENGzaEoaEhDI0MYSTca+voUqtvASKdPg4uTiiuVvzvxMHEpDa623bHtClTxPXPPrx7hwaNGqFCBU14eZ3gUUIIIdmJlcB+FB+HM75+uHbtmliY6nbsPbx8nYTU1FSxVaKpmFAYwaC6IXQ0tVC6XDlKKPIhSfZxYGORf/utEu7cvQMdbR2+B8AqPdh164krkVdxOSgYJTRKpG8ghBCS416lvMCTh88RF3sbMbHRCIuMQnBAgNg6UVilMNRLqgsneVriJY8KWlqo8JsOapnWQYM69ZD2v/+J1S9/NGKOSJeELlX8U3LaadUauLq54vqNG3yPdFs3u2H48NE4f+EcTE3NeJQQQoiUsJbhmJhYxCfEIebPP3E3Nh7x928jIT4B0dGxeJ/yHuXLl4euri60tStAW6sCylXUQ9XftaFnoI9KwokjzTUkXRK6VPFPyel2HdoLL6by2ODsyrcCgSGBaNmkJZw3rMPA/v15lBBCSF4TGxuDiIjriI6KxeMnDxB7OxYPExORmPBQHOGRkpKKcmXLwbhGNfxeqTI0dbRRplQZVCxfDppaWtAoUQKlS5aGmoYGtVjkAgldqkgvANW5Rw9UFbLQlatXo4ewzLDJq1gLg6WlJdzc3MQYIYSQ/IO1PL9JSQFYa0V8POJux+B2TBwePLiHGzdv4NGDR0hMTEKqkFSwf2xiASUoQ1tXSzjR1BUSjbJiLQoxwahYDhrCvaZmGbE+kIqQXLAbihQR7ynZyBzptDiscUJx9eIw1NdHk+bN8OTJs7871Zg3bI23aS9w/tx54e9OzVeEEFIQsckMXycn48mzJ3jx4hWePHqEh0lJeP48WTjBfISE+DjExycg/uFDPLp3T3yMioqy2N9CVU0NGkU0oKwqxIST1BIaGiiuVhjFC6uhqLCsUlgFZdWKQ0XYr0yZMuLjNLUqiF+jgpYmVJTSk43s6PAZFxsL1eLFhUQnbwx1lVznSNapJio6GieOHxfj/fv3xxnfMwgICISOtrYYI4QQQv5L8tP0JCOZJRvPnyMp+SFSXqaIVYffvnyLly+fIyXlDR4mP8fbt2+F+HukprzC29cv8ebNO7x8/lr8Ok+ePRP+//5EjExxIdlQ4onFTwlf4m3Ka/FSzLf69OqFbbt28TVpk9SlCpYFrliyBIOGDsX4MWOw3tUJ40dPxumzp9G4cWO+JyGEEJI7niYliUnGZ+9TUsRWD3kVV1X9V2nvshUqZMvlE3HgwWY3NKlXH8YmWVcoUVKXKl69SsaceQsQHByM+/EP0Ll7J+zcuR3duqX3dSCEEEKIfG7H3kbt2iZQLlwYRw8fzrITcNa/RBKUVVRwMSgY6urF8VLI5nrZ98TUqdMpaSCEEEIyQE9fDx57PZCSmor27dvjjPdJviVzJJE4sOYUxt/fH0bVa2NAj57o3NEGjo6zxDghhBBCFGdlZY3Dhw+LnT079eiG/R57+ZaMk0yLQ1paKl6/fo0L58/Arl8/bNy2hW8hhBBCSEa1MjfHpctX0KJlC3S3s8W4CaORnMw6fGaMJPo4fK4cOXz4SHTu2hX9+/cWospAaqpwp4xPaR/wC36FjLdM/KKkVOCWPwrLrOtMRh5Ly9m3rCwsfxTXMvZ4Ws76ZdZf/dcMPpaWs2/5V2GZvVcy9Hi2IKz/T7h9Yp0Ihfv/iv/Cjx+f36Ms/nmZvUaKCtvY8E4I8ULCjS2zr8PKYKcKN4bt/+VyirDM1pR4XFwWvlr6p7P8y1BSEY9rSPuf2CmSfW/2mmWf8+x5y9jPImAxhsUZRbaxn5H9DsWfW4wK31ZYdpy/EMFBF6Grpw/37e7i/CKKkkznyJjoaPj5+/M1QgghhGS1I0cO4+TJUyhbtjQWLlyMgQMH8i3yk0ziQAghhJDswyovjx45GqWFpOHo4eOoXbcG36KY9LYOQgghhORba1atwLDhw6ClrY0TPj4ZThoYShwIIYSQfIr1n5jl6Iix4yfCQN8AFy+cg7GhId+aMXSpghBCCMmHWNIwdeJ4rFrjhCYNGmD/0cPQLJP5+TAocSCEEELyoYSEeNQ1NkPdhqZw37kFZUqV4lsyhxIHQgghJJ8Kj4iAvp4uihbNuhk9KXEghBBCiNyocyQhhBBC5EaJAyGEEELkRokDIYQQQuRGiQMhhBBC5EaJAyGEEELkRokDIYQQQuRGiQMhhBBC5EaJAyE5LCY2BtOnTkXUjes88o+4O3cw23E2Vi5fjnfv3iElNVXc92LgRb5H1vrz9m3xe3zGvtdpX1++Rggh/0aJAyE5LD4uHgsXL8bN6CgeSRd27Rrq1qmFTa4b0aFTJxQpUgSf0tLgdfw47ty+w/fKOuvXu6KBaV2xnv1n7Hv9GRPN1wgh5N8ocSAk1yjzeyAkLBRtLVqhhIoq/AICoKenJ8aLqKggIiICdr3txPWslJT4ECkp/yQNDPteDg4j+BohhPzb/xwFfJkQkgNu376NnTt3onv37qhWrZqYNHRq1x6Ffi2Mk/5+qMKTBoa1BqxcvBi/FCkC7fLlER4Wjk2um6BvoA/3LVuwzskJ586eR6EihaCrq8sfBaQJtwv+/nBatQq7duxAcHAw1IoVQ8WKFcXtp06ehMfu3bhz5y5UfgEKFy6MCsK25cL3ShWSCR3dSuJ+H1LfCY/fh40bnHDo4GFERl+HQVUDqBVVE7d/T1paGg4cPQyX1Suxz2MvrkZFoeJvv6GUhgbfA1i3djXuJDzCh7evsWj+fOwRnkvsX3dQo0Z1FCpUiO8FJD99Cjc3N2xY74Lj3seR+PARqhgY/L1PYmIiNjg7Q02jBJbMXQCvY5549ykN1YR92O9u165dcFq9Wvh5j+NXlcK4ER0N/9OnUa12bcQISdLGDduho1cR6iXUxa/HsJafrRs2orJhVRRX+/HPSUiBxeaqIITknFOnTrH5YWQHDuyRRd64IStbtrTMUM9A9uDBPb7HP95++CDuu3r5anF9k7u7uN66ZUtZ9Tp1ZJ27d5YJyYCssEph2dUrl8V9mNVrV8pUVFRkzZo3kY0ZNUbWqFkTYV1Z5u6+Rdy+cuVqmY5eJTHWpFkz2aEDB8Q4+9qzZ88Wl9++/CiztLSUqampybp27y4bNGiQrHy5cjJDA0PZ3e88V+aTcOvXx158PlZWNrJRI0bIqtesKStZUl12MTgofScBe87169STlRPurWyshefZQnwu9t1txa/BPHr8SGZoZCD8fsrKBgzoJ+vTr5+sXMnysnp1asmePXki7nP1yhVZYVUV8etUr15dZmRoKNt78KDs06dPsiFDBolfkz139lh19ZIyPeFnFhIs8bHs9822L5g3R1z/zL5PP1lJ4W/y/u1bHiGEfIkSB0Jy2OfEYc7UhWLSwJYtLCzFg923vk0c3HniYC8cnD/vf+uvv8TY9OlTxfXrQjLCDohr1679e5/3wv3UqVOFg6e6eEBm5s2eJxPOqGVvP34U1xn2dT4nDps2bBC/zvlz58R1JvLmTTGRmLdwHo98bfee3eLXuPDFY9gB2FZICAwMDf4+GLPEQaWwsuzGXzfFdaZXnz4yJWWlv/fp2rmzzNDQSPaEJwnMrTt/ir+z2TNniusR1yLEx3S07ix7L/wc7MYEX7woPo+dO3eK60zw1Svic2eJw+fftIWFhaxevXp/P+7ly5fizzxpwjhxnRDyb9THgZBcMnvJNGhqlkG/fv3g43MSCxfO51v+TTg48qV0QwcPhpJSekxfV1e8BHE//r64ftzTC8XV1CGcOf+9TyHhXjjY4u3b19ize48Y+yz1i86RXzpy8iSEs3g0NjfnEaCavj7Onj2Lvvb9eeRrQmIDKwuLrx5TqEgRjBjlgLjoWERG/9PxskULCxjqGvA1oKlZQ6SlpuHx48d49eoV/Pz80ad/f5QqVYrvIfysOnpwGDoUa5yceATCYwCbzlYopKws3hjPYydRumRpdO3RQ1xnTE1qo2HjhuLyR/4zd7axQeS1SDx6mP67O3DggNjvw9bWXlwnhPwbJQ6E5BJ9AwOcPnUOGzZvRv369bBg3iKEhFziW7/GDqhf0tHW4Uvpfv3117+Tiwf3H+DZy2eoVrUKtLS0/r5VqlxZPCjG3Y4T9xMJD1HmycW37sfFQ0dP96sPCZaImJqaQlu7Ao98LTYmFr5+l776vuzWqUMXpCANjx494nsCFcuV50vplFX+6Sz6+vVrPHn2BMsWz0eZUhW++lorVq3B8+fPkfzilbivkvAwzVJlxOXPom9HQVdH++9E4jNDvd+hklZYeNAncb2zra14v3eXh3h/8qQ3DITkyMikhrhOCPk3ShwIySWL5s2Bppam2BqwaesmIaKCXl16IDEpMX0HQWpaesLwbYvDz6QJp+Ali5fEtm3bxNtmfs9up06dwpARDuJ+qb8KXzdNGan4KK5/ix2Qlb/OV0Tv3rzBu5QUvvY1FeHg36RJHfF7bd22Wbx3ExKjXR67cFz43vXq1eF7pj/P71ESvrEKP+D37d0fOzzcvvo5Dh48KP4cqkWLiPswad8kCOqqZfBSSD6+9erVa7wv/B6/Cv+YMqVKwbZXd2xxd8fT5GR4HjkGaxvrfyUchJB/UOJASK755+BkbFgDzutW4va9u5g4cSKP/tMa8G2Lw8/8bmQgnrHr6erBwsJCvHTA7hs0aIDD+/fjcUKCuJ+yLA1pQtqgzA+i32KXKa5di8Sbby5l9LLvhSEDB/K1r1WvWQvRMbHi97O0sBLvra2sUL5sWZz09MT7999POL7EEgoVVVWUrVgOHz68+fvrfP45Eh8+hJ+f798Hd5Z/sJEcXzI1q474+PtIeBjPI+kjVNgIj8LvCwup0j/JklWHToiLu40lC+bhfcp79Bk8lG8hhHwPJQ6ESIR9377o3Lkrdm7fCTdXFx5Np0iLQ7eO3VFYtTDGjh6Nh/za/Yd37zBowAC4C19b1yC9X4GSkDKwSxePEx/+68DLdO1mh7jYWGxcufLvIlHHjh3DSW8fmJmaiuvfGjdqFB4/foQRI4eL35Nhz2HQ8CHCY4+K/Q4+Yy0LP1KsaFH07tEb23fuxv69e3kU8A3ww5Aho/Hy+VseYb8bQOWbyy02HTujuLoqJo6eiPiEeLHPxLwZs3D1yhWkKL1HIaV/hnxatmwJNRVVrHd1Q5069VCD/34IId9HiQMhEsHOoDdu3IDy5cphygxHRAtnx58p0uKgpaWJvUePIvx6OCpX+h0NGzZEufLl4XPmDNzdN0FHW1vcr7ZpXbHFodJvlTB3/lwx9qV2VhaYPnsmZs2bB8PfdVGlWjV06dIJHW06op9D+uWObzVs3BhLly/H9l0e4vdk35s9hyePk7DnwGEU/fLywg8uVSirqIj3S5cuFr6XNWzte6HK71VQo0YNtG3SHE2b1sGiJQvEfT77toOnlqYWPA4extWr18Sfr3jx4jjkeURsdUHhr/cvVqwYuva1FVtprG2seJQQ8iO/sKEVfJkQkgPY2W9sbDT0dA1QQqMEj/4jLuE+kpPuo0yZCqhQQQvh4aHQ1tETr8ezgkhx8bdhVKP2V9fhb1yPQNESJb7qNMn6Ily4eBFxcXHQqlABjYSD5pcjFBjWGZMdXOvXqwOT2nURFhYiJB6sM+I/nR/j4u/jknCm//b9e5jVMxO+txHf8mOsMFNAQACePHkidjasL3xvVkL7s+89388/m4FBbSHBSP/ZPqSl4Z7w/AMDA8TWETMhEfld+Hqff3bWqhEdHQ1dIVZCSAA+Y/N8pL5Ng4qqEu7eu4tPHz9Bu0oVjB46FFeuXUVYSOjfI06YNWucMHbsaNy6dQv6wtcihPwYJQ6EkHzHadUazF05H5d8L0FPP70SJ0syqleviXr16omdNT9jl2Fq1TAREhxdHD7qxaOEkB+hxIEQku/ExMWhqZmpWCfDxspGiKjA0/sAniYl45SvL4wNDcV+HSNHDkdYSDiuRl7B+XPnxRYNQsjPUR8HQki+Y6Cri4jw67CwsMSVyGvC7TJsrDsjLCJcTBo+U1NVQykhudi9Zx8lDYTIiVocCCGEECI3anEghBBCiJyA/wMweKr7dktcgQAAAABJRU5ErkJggg==\" width=\"394\"/></p>\n<p><span style=\"background-color: #ffffff;\">peak of T<sub>2</sub> to right of <em><strong>AND</strong> </em>lower than T<sub>1</sub>  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">lines begin at origin <em><strong>AND</strong> </em>T<sub>2</sub> must finish above T<sub>1</sub>  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>E<sub>a</sub></em> marked on graph  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">explanation in terms of more “particles” with <em>E ≥ E<sub>a</sub></em><br/><em><strong>OR</strong></em><br/>greater area under curve to the right of <em>E<sub>a</sub></em> in T<sub>2</sub>  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">manganese(IV) oxide<br/><em><strong>OR</strong></em><br/>manganese dioxide  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note:</strong> Accept “manganese(IV) dioxide”.</span></em></p>\n<div class=\"question_part_label\">b(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">move «position of» equilibrium to right/products  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong> Note:</strong> Accept “reactants are always present as the reaction is in equilibrium”.</span></em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">M (H<sub>2</sub>O<sub>2</sub>) «= 2 × 1.01 + 2 × 16.00» = 34.02 «g»  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«% H<sub>2</sub>O<sub>2</sub> = 3 × <span class=\"mjpage\"><math alttext=\"\\frac{{34.02}}{{314.04}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mn>34.02</mn>\n</mrow>\n<mrow>\n<mn>314.04</mn>\n</mrow>\n</mfrac>\n</math></span> × 100 =» 32.50 «%»  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong> Note:</strong> Award <strong>[2]</strong> for correct final answer.</span></em></p>\n<div class=\"question_part_label\">d.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>The explanation that the brown bottle prevented light causing a decomposition of the chemical was well answered but some incorrectly suggested it helped to stop mixing up of chemicals <em>e.g.</em> acid/water/peroxide.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The graphing was disappointing with a surprising number of students missing at least one mark for failing to draw a straight line or for failing to draw the line passing through the origin. Also some were unable to calculate the gradient.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The drawing of the two curves at T1 and T2 was generally poorly done.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Explaining why temperature increase caused an increase in reaction rate was generally incorrectly answered with most students failing to mention “activation energy” in their answer or failing to annotate the graph.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many could correctly name manganese(IV)oxide, but there were answers of magnesium(IV) oxide or manganese(II) oxide.</p>\n<div class=\"question_part_label\">b(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Suggesting why peractic acid was sold in solution was very poorly answered and only a few students mentioned equilibrium and, if they did, they thought it would move to the left to restore equilibrium.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Calculating the % by mass was generally well answered although some candidates started by using rounded values of atomic masses which made their final answer unprecise.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter",
      "tools"
    ],
    "subtopics": [
      "reactivity-2-1-how-much-the-amount-of-chemical-change",
      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
      "reactivity-2-3-how-far-the-extent-of-chemical-change",
      "structure-1-4-counting-particles-by-mass-the-mole",
      "structure-2-4-from-models-to-materials",
      "structure-3-2-functional-groups-classification-of-organic-compounds",
      "tool-1-experimental-techniques",
      "tool-3-mathematics"
    ]
  },
  {
    "question_id": "19M.2.SL.TZ1.5",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Both vinegar (a dilute aqueous solution of ethanoic acid) and bleach are used as cleaning agents.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Bleach reacts with ammonia, also used as a cleaning agent, to produce the poisonous compound chloramine, NH<sub>2</sub>Cl.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Outline why ethanoic acid is classified as a weak acid.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">A solution of bleach can be made by reacting chlorine gas with a sodium hydroxide solution.</span></p>\n<p><span style=\"background-color: #ffffff;\">Cl2 (g) + 2NaOH (aq) <span class=\"mjpage\"><math alttext=\" \\rightleftharpoons \" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mo stretchy=\"false\">⇌</mo>\n</math></span> NaOCl (aq) + NaCl (aq) + H<sub>2</sub>O (l)</span></p>\n<p><span style=\"background-color: #ffffff;\">Suggest, with reference to Le Châtelier’s principle, why it is dangerous to mix vinegar and bleach together as cleaners.</span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Draw a Lewis (electron dot) structure of chloramine.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Deduce the molecular geometry of chloramine and estimate its H–N–H bond angle. </span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\">Molecular geometry:</span></p>\n<p><span style=\"background-color: #ffffff;\">H–N–H bond angle:</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">partial dissociation «in aqueous solution»  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">ethanoic acid/vinegar reacts with NaOH  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">moves equilibrium to left/reactant side <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">releases Cl<sub>2</sub> (g)/chlorine gas<br/><em><strong>OR</strong></em><br/>Cl<sub>2</sub> (g)/chlorine <span style=\"text-decoration: underline;\">gas</span> is toxic  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note:</strong> Accept “ethanoic acid produces H<sup>+</sup> ions”.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept “ethanoic acid/vinegar reacts with NaOCl”.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Do <strong>not</strong> accept “2CH<sub>3</sub>COOH + NaOCl + NaCl → 2CH<sub>3</sub>COONa + Cl<sub>2</sub> + H<sub>2</sub>O” as it </span></em><em><span style=\"background-color: #ffffff;\">does not refer to equilibrium.<br/></span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept suitable molecular or ionic equations for M1 and M3.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/>  <strong>[<span style=\"background-color: #ffffff;\">✔</span>]</strong></p>\n<p> </p>\n<p><em><strong>Note:</strong> <span style=\"background-color: #ffffff;\">Accept any combination of dots/crosses or lines to represent electron pairs.</span></em></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Molecular geometry:</em><br/>«trigonal» pyramidal  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>H–N–H bond angle:</em><br/>107°  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong> Note:</strong> Accept angles in the range of 100–109.</span></em></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>The definition of a weak acid was generally correct.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Explaining why it was dangerous to mix chlorine with vinegar was not well answered but most students gained at least one mark for stating that “chlorine gas will be produced”, but couldn’t link it to equilibrium ideas.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The Lewis structure of chloramine was correct for strong candidates, but many made the mistake of omitting electron pairs on N and Cl.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The molecular geometry and bond angles often did not correspond to each other with quite a few candidates stating trigonal planar and then 107 for the angle.</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-2-models-of-bonding-and-structure"
    ],
    "subtopics": [
      "reactivity-2-3-how-far-the-extent-of-chemical-change",
      "reactivity-3-1-proton-transfer-reactions",
      "structure-2-2-the-covalent-model"
    ]
  },
  {
    "question_id": "19M.2.SL.TZ1.6",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">This question is about iron.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State the nuclear symbol notation, <span class=\"mjpage\"><math alttext=\"{}_{\\text{Z}}^{\\text{A}}{\\text{X}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<msubsup>\n<mrow>\n</mrow>\n<mrow>\n<mtext>Z</mtext>\n</mrow>\n<mrow>\n<mtext>A</mtext>\n</mrow>\n</msubsup>\n<mrow>\n<mtext>X</mtext>\n</mrow>\n</math></span>, for iron-54.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Mass spectrometry analysis of a sample of iron gave the following results:</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"136\" src=\"data:image/png;base64,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\" style=\"margin-right:auto;margin-left:auto;display: block;\" width=\"190\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Calculate the relative atomic mass, A<sub>r</sub>, of this sample of iron to two decimal places.</span></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">An iron nail and a copper nail are inserted into a lemon.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"204\" 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\" width=\"312\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Explain why a potential is detected when the nails are connected through a voltmeter.</span></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><span class=\"mjpage\"><math alttext=\"{}_{{\\text{26}}}^{{\\text{54}}}{\\text{Fe}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<msubsup>\n<mrow>\n</mrow>\n<mrow>\n<mrow>\n<mtext>26</mtext>\n</mrow>\n</mrow>\n<mrow>\n<mrow>\n<mtext>54</mtext>\n</mrow>\n</mrow>\n</msubsup>\n<mrow>\n<mtext>Fe</mtext>\n</mrow>\n</math></span></span>  <strong>[<span style=\"background-color: #ffffff;\">✔</span>]</strong></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«<span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">A</span><sub style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">r</sub> =» 54 × 0.0584 + 56 <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">×</span> 0.9168 + 57 <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">×</span> 0.0217 + 58 <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">×</span> 0.0031<br/><em><strong>OR</strong></em><br/>«<span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">A</span><sub style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">r</sub> =» 55.9111  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«<span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">A</span><sub style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">r</sub> =» 55.91 <strong>[✔]</strong></span></p>\n<p><em><span style=\"background-color: #ffffff;\">Notes:</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Award [2] for correct final answer.<br/>Do not accept data booklet value (55.85).</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">lemon juice is the electrolyte<br/><em><strong>OR</strong></em><br/>lemon juice allows flow of ions<br/><em><strong>OR</strong></em><br/>each nail/metal forms a half-cell with the lemon juice  <strong>[✔]</strong></span></p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept “lemon juice acts as a salt bridge”.</span></em></p>\n<p><span style=\"background-color: #ffffff;\"><em>Any one of</em>:<br/>iron is higher than copper in the activity series<br/><em><strong>OR</strong></em><br/>each half-cell/metal has a different redox/electrode potential  <strong>[✔]</strong></span></p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note:</strong> Accept “iron is more reactive than copper”.</span></em></p>\n<p><span style=\"background-color: #ffffff;\">iron is oxidized<br/><em><strong>OR</strong></em><br/>Fe → Fe<sup>2+</sup> + 2e<sup>–</sup><br/><em><strong>OR</strong></em><br/>Fe → Fe<sup>3+</sup> + 3e<sup>−</sup><br/><em><strong>OR</strong></em><br/>iron is anode/negative electrode of cell  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">copper is cathode/positive electrode of cell<br/><em><strong>OR</strong></em><br/>reduction occurs at the cathode<br/><em><strong>OR</strong></em><br/>2H<sup>+</sup> + 2e<sup>−</sup> → H<sub>2</sub>  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">electrons flow from iron to copper  <strong>[✔]</strong></span></p>\n<p><em><strong> </strong></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Notes:<br/>Accept “lemon juice acts as a salt bridge”.<br/>Accept “iron is more reactive than copper”.</span></em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>The nuclear symbol notation was generally correct. However, some students swapped atomic and mass numbers and hence lost the mark.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Calculation of RAM was generally correctly calculated, but some candidates did not give their answer to two decimal places while they should use the provided periodic table.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Very few students gained the 2 marks available for explaining the potential generated in the lemon as they didn’t realise it was the lemon that acted as the electrolyte and allowed ions to flow. Some were able to gain a mark for explaining that electrons moved from iron to copper as iron is more reactive.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
    "topics": [
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-1-models-of-the-particulate-nature-of-matter"
    ],
    "subtopics": [
      "reactivity-3-2-electron-transfer-reactions",
      "structure-1-2-the-nuclear-atom"
    ]
  },
  {
    "question_id": "19M.2.SL.TZ1.8",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Draw a circle around the functional group formed between the amino acids and state its name.\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    <img height=\"171\" src=\"data:image/png;base64,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\" width=\"327\"/>\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Name:\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Calculate the energy released, in kJ g\n    <sup>\n     −1\n    </sup>\n    , when 3.49 g of starch are completely combusted in a calorimeter, increasing the temperature of 975 g of water from 21.0 °C to 36.0 °C. Use section 1 of the data booklet.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <img height=\"178\" 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\" width=\"322\"/>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    Name\n   </em>\n   :\n   <br/>\n   amide/amido/carboxamide\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     Note:\n    </strong>\n    Accept “peptide bond/linkage”.\n   </span>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    q\n   </em>\n   = «\n   <em>\n    mc\n   </em>\n   ΔT = 975 g × 4.18 J g\n   <sup>\n    –1\n   </sup>\n   K\n   <sup>\n    –1\n   </sup>\n   × 15.0 K =» 61 100 «J» / 61.1 «kJ»\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   «heat per gram =\n   <span class=\"mjpage\">\n    <math alttext=\"\\frac{{61.1{\\text{ kJ}}}}{{3.49{\\text{ g}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mfrac>\n      <mrow>\n       <mn>\n        61.1\n       </mn>\n       <mrow>\n        <mtext>\n         kJ\n        </mtext>\n       </mrow>\n      </mrow>\n      <mrow>\n       <mn>\n        3.49\n       </mn>\n       <mrow>\n        <mtext>\n         g\n        </mtext>\n       </mrow>\n      </mrow>\n     </mfrac>\n    </math>\n   </span>\n   <em>\n    =\n   </em>\n   » 17.5 «kJ g\n   <sup>\n    –1\n   </sup>\n   »\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     Note:\n    </strong>\n    Award\n    <strong>\n     [2]\n    </strong>\n    for correct final answer.\n   </span>\n  </em>\n </p>\n</div>\n",
    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Many candidates correctly circled the bond between the amino acid residues, though in some cases their circle missed out key atoms. Many correctly identified it as a peptide or amide linkage.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  The incorrect mass was frequently used when calculating energy released from combustion of starch in a calorimeter. Those who used the mass of water correctly frequently stopped when energy in kJ or J was calculated, and did not seem to notice that the question asked for the energy to be calculated in kJg\n  <sup>\n   −1\n  </sup>\n  so a further calculation was required.\n </p>\n</div>\n",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions",
      "structure-3-classification-of-matter",
      "tools"
    ],
    "subtopics": [
      "reactivity-1-1-measuring-enthalpy-changes",
      "structure-3-2-functional-groups-classification-of-organic-compounds",
      "tool-1-experimental-techniques"
    ]
  },
  {
    "question_id": "19M.2.SL.TZ2.13",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    State\n    <strong>\n     one\n    </strong>\n    greenhouse gas, other than carbon dioxide.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Outline\n    <strong>\n     one\n    </strong>\n    approach to controlling industrial emissions of carbon dioxide.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    Any one of:\n   </em>\n   <br/>\n   methane, water, nitrous oxide/nitrogen(I) oxide, ozone, CFCs, sulfur hexafluoride\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     Note:\n    </strong>\n    Accept formulas.\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    Do\n    <strong>\n     not\n    </strong>\n    accept “NO\n    <sub>\n     2\n    </sub>\n    ”, “NO\n    <sub>\n     x\n    </sub>\n    ”, “oxides of sulfur”.\n   </span>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    Any one of:\n   </em>\n   <br/>\n   capture where produced «and stored»\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   use scrubbers to remove\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   use as feedstock for synthesizing other chemicals\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   carbon credit/tax/economic incentive/fines/country specific action\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n   <br/>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   use alternative energy\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   stop/reduce use of fossil fuels for producing energy\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   use carbon reduced fuels «such as methane»\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   increase efficiency/reduce energy use\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n</div>\n",
    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  This question was well answered.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  This question was reasonably answered although there were many students who gave vague answers that did not receive marks. Carbon cannot be “filtered out” and the process of “carbon capture or scrubbing” is different from filtering.\n </p>\n</div>\n",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions"
    ],
    "subtopics": [
      "reactivity-1-3-energy-from-fuels"
    ]
  },
  {
    "question_id": "19M.2.SL.TZ2.2",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">The thermal decomposition of dinitrogen monoxide occurs according to the equation:</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\">2N<sub>2</sub>O (g) → 2N<sub>2</sub> (g) + O<sub>2</sub> (g)</span></p>\n<p><span style=\"background-color: #ffffff;\">The reaction can be followed by measuring the change in total pressure, at constant temperature, with time.</span></p>\n<p><span style=\"background-color: #ffffff;\">The x-axis and y-axis are shown with arbitrary units.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"342\" 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\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"704\"/></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Explain why, as the reaction proceeds, the pressure increases by the amount shown.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Outline, in terms of collision theory, how a decrease in pressure would affect the rate of reaction.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The experiment is repeated using the same amount of dinitrogen monoxide in the same apparatus, but at a lower temperature.</span></p>\n<p><span style=\"background-color: #ffffff;\">Sketch, on the axes in question 2, the graph that you would expect.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The experiment gave an error in the rate because the pressure gauge was inaccurate. Outline whether repeating the experiment, using the same apparatus, and averaging the results would reduce the error.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The graph below shows the Maxwell–Boltzmann distribution of molecular energies at a particular temperature.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"259\" src=\"data:image/png;base64,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\" width=\"400\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The rate at which dinitrogen monoxide decomposes is significantly increased by a metal oxide catalyst.</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Annotate and use the graph to outline why a catalyst has this effect.</span></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">e.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">increase in the amount/number of moles/molecules «of gas»  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">from 2 to 3/by 50 %  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«rate of reaction decreases»<br/>concentration/number of molecules in a given volume decreases<br/><em><strong>OR</strong></em><br/>more space between molecules  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">collision rate/frequency decreases<br/><em><strong>OR</strong></em><br/>fewer collisions per second/unit time  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note:</strong> Do <strong>not</strong> accept just “larger space/volume” for M1.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"253\" src=\"data:image/png;base64,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\" width=\"538\"/></p>\n<p><span style=\"background-color: #ffffff;\">smaller initial gradient  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">initial pressure is lower <em><strong>AND</strong> </em>final pressure of gas lower «by similar factor»  <strong>[✔]</strong></span></p>\n<p> </p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">no <em><strong>AND</strong> </em>it is a systematic error/not a random error<br/><em><strong>OR</strong></em><br/>no <em><strong>AND</strong></em> «a similar magnitude» error would occur every time  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"278\" src=\"data:image/png;base64,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\" width=\"426\"/></p>\n<p><span style=\"background-color: #ffffff;\">catalysed and uncatalysed Ea marked on graph AND with the catalysed being at lower energy  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«for catalysed reaction» greater proportion of/more molecules have E ≥ E<sub>a</sub> / E &gt; E<sub>a</sub><br/><em><strong>OR</strong></em><br/>«for catalysed reaction» greater area under curve to the right of the E<sub>a</sub>  <strong>[✔]</strong></span></p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note:</strong> Accept “more molecules have the activation energy”.</span></em></p>\n<div class=\"question_part_label\">e.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>About a quarter of the candidates gave the full answer. Some only gained the first marking point (M1) by recognizing the increase in the number of moles of gas. Some candidates wrote vague answers that did not receive credit such as “pressure increases as more gaseous products form” without explicitly recognizing that the reactants have fewer moles of gas than the products. Some candidates mistook it for a system at equilibrium when the pressure stops changing (although a straight arrow is shown in the equation). A teacher commented that the wording of the question was rather vague “not clear if question is asking about stoichiometry (<em>i.e.</em> how 200 &amp; 300 connect to coefficients) or rates (<em>i.e.</em> explain graph shape)”. We did not see a discussion of the slope of the graph with time and most candidates understood the question as it was intended.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>More than half of the candidates obtained the mark allocated for “less frequent collisions” at lower pressure, but only strong candidates explained that this was due to the lower concentration or increased spacing between molecules. Some candidates talked about a decrease in kinetic energy and they did not show a good understanding of collision theory. Some candidates lost M1 for stating “fewer collisions” without reference to time or probability.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a challenging question. Candidates usually obtained only one of the two marks allocated for the answer. Most of them scored the mark for a lower initial slope at low temperature, while others scored a mark for sketching their curve below the original curve as all pressures (initial and final) will be lower at the lower temperature. A teacher commented that the wording was unclear “sketch on the axes in question 2”, and it would have been better to label the graph instead.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was well answered by nearly 70 % of the candidates reflecting a good understanding of the impact of systematic errors. Some students did not gain the mark because of an incomplete answer. The question raised much debate among teachers. They worried if the error was clearly a systematic one. However, a high proportion of candidates had very clear and definite answers. In Spanish and French, the wording was a bit ambiguous which caused the markscheme in these languages to be more opened.</p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question discriminated very well between high-scoring and low-scoring candidates. About half of the candidates annotated the Maxwell-Boltzmann distribution to show the effect of the catalyst. Some left it blank and some sketched a new distribution that would be obtained at a higher temperature instead. The majority of candidates knew that the catalyst provided an alternative route with lower <em>E</em><sub>a</sub> but only stronger candidates related it to the annotation of the graph and used the accurate language needed to score M2. A common mistake was stating that molecules have higher kinetic energy when a catalyst is added.</p>\n<div class=\"question_part_label\">e.</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "tools"
    ],
    "subtopics": [
      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
      "structure-1-5-ideal-gases",
      "tool-1-experimental-techniques",
      "tool-2-technology",
      "tool-3-mathematics"
    ]
  },
  {
    "question_id": "19M.2.SL.TZ2.3",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Dinitrogen monoxide, N<sub>2</sub>O, causes depletion of ozone in the stratosphere.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Different sources of N<sub>2</sub>O have different ratios of <sup>14</sup>N:<sup>15</sup>N.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Outline why ozone in the stratosphere is important.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State one analytical technique that could be used to determine the ratio of <sup>14</sup>N:<sup>15</sup>N.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">A sample of gas was enriched to contain 2 % by mass of <sup>15</sup>N with the remainder being <sup>14</sup>N.</span></p>\n<p><span style=\"background-color: #ffffff;\">Calculate the relative molecular mass of the resulting N<sub>2</sub>O.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Predict, giving <strong>two</strong> reasons, how the first ionization energy of <sup>15</sup>N compares with that of <sup>14</sup>N.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Suggest why it is surprising that dinitrogen monoxide dissolves in water to give a neutral solution.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">absorbs <span style=\"text-decoration: underline;\">UV/ultraviolet</span> light «of longer wavelength than absorbed by O<sub>2</sub>»  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">mass spectrometry/MS  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">« <span class=\"mjpage\"><math alttext=\"\\frac{{(98 \\times 14) + (2 \\times 15)}}{{100}} = \" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mo stretchy=\"false\">(</mo>\n<mn>98</mn>\n<mo>×</mo>\n<mn>14</mn>\n<mo stretchy=\"false\">)</mo>\n<mo>+</mo>\n<mo stretchy=\"false\">(</mo>\n<mn>2</mn>\n<mo>×</mo>\n<mn>15</mn>\n<mo stretchy=\"false\">)</mo>\n</mrow>\n<mrow>\n<mn>100</mn>\n</mrow>\n</mfrac>\n<mo>=</mo>\n</math></span>» 14.02  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«<em>M<sub>r</sub></em> = (14.02 × 2) + 16.00 =» 44.04  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Any two</em>:<br/>same <em><strong>AND</strong> </em>have same nuclear charge/number of protons/Z<sub>eff</sub>  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">same <em><strong>AND</strong> </em>neutrons do not affect attraction/ionization energy/Z<sub>eff</sub><br/><em><strong>OR</strong></em><br/>same <em><strong>AND</strong> </em>neutrons have no charge <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">same <em><strong>AND</strong> </em>same attraction for «outer» electrons <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">same <em><strong>AND</strong> </em>have same electronic configuration/shielding <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p> </p>\n<p><span style=\"font-size: 14px;\"><em><span style=\"background-color: #ffffff;\"><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\"> Note:</strong> Accept “almost the same”.<br/>“same” only needs to be stated once.</span></em></span></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">oxides of nitrogen/non-metals are «usually» acidic  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>60 % of the candidates were aware that ozone in the atmosphere absorbs UV light. Some candidates did not gain the mark for not specifying the type of radiation absorbed.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Well answered. More than half of the candidates stated mass spectrometry is used to determine the ratio of the isotopes.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates successfully calculated the relative atomic mass of nitrogen in the sample. M2 was awarded independently of M1, so candidates who calculated the relative molecular mass using the <em>A</em><sub>r</sub> of nitrogen in the data booklet (14.01) were awarded M2. Many candidates scored both marks.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a challenging question for many candidates, while stronger candidates often showed clarity of thinking and were able to conclude that the ionization energies of the two isotopes must be the same and to provide two different reasons for this. Some candidates did realize that the ionization energies are similar but did not give the best reasons to support their answer. Many candidates thought the ionization energies would be different because the size of the nucleus was different. Some teachers commented that the question was difficult while others liked it because it made students apply their knowledge in an unfamiliar situation. The question had a good discrimination index.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Only a quarter of the candidates answered correctly. Some simply stated that N<sub>2</sub>O forms HNO<sub>3</sub> with water which did not gain the mark.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
    "topics": [
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "structure-1-2-the-nuclear-atom",
      "structure-2-2-the-covalent-model",
      "structure-3-1-the-periodic-table-classification-of-elements",
      "structure-3-2-functional-groups-classification-of-organic-compounds"
    ]
  },
  {
    "question_id": "19M.2.SL.TZ2.4",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Rhenium, Re, was the last element with a stable isotope to be isolated.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">One chloride of rhenium has the empirical formula ReCl<sub>3</sub>.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Before its isolation, scientists predicted the existence of rhenium and some of its properties.</span></p>\n<p><span style=\"background-color: #ffffff;\">Suggest the basis of these predictions.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Describe how the relative reactivity of rhenium, compared to silver, zinc, and copper, can be established using pieces of rhenium and solutions of these metal sulfates.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State the name of this compound, applying IUPAC rules.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Calculate the percentage, by mass, of rhenium in ReCl<sub>3</sub>.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">gap in the periodic table<br/><em><strong>OR</strong></em><br/>element with atomic number «75» unknown<br/><em><strong>OR</strong></em><br/>break/irregularity in periodic trends  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«periodic table shows» regular/periodic trends «in properties»  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">place «pieces of» Re into each solution  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">if Re reacts/is coated with metal, that metal is less reactive «than Re»  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong> Note:</strong> Accept other valid observations such as “colour of solution fades” or “solid/metal appears” for “reacts”.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">rhenium(III) chloride<br/><em><strong>OR</strong></em><br/>rhenium trichloride  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«<em>M<sub>r</sub></em> ReCl<sub>3</sub> = 186.21 + (3 × 35.45) =» 292.56  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«100 × <span class=\"mjpage\"><math alttext=\"\\frac{{186.21}}{{292.56}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mn>186.21</mn>\n</mrow>\n<mrow>\n<mn>292.56</mn>\n</mrow>\n</mfrac>\n</math></span>=» 63.648 «%»  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This nature of science question generated a lot of discussion among teachers. Some in support of such questions and others concerned that it takes a lot of time for candidates to know how to answer. Some teachers thought it was unclear what the question was asking. It is pleasing that about a quarter of the candidates answered both parts successfully and many candidates gained one mark usually for “periodic trends”. However, some candidates only focused on one part of the question. Quite a few candidates discussed isotopes, probably thrown off by the stem. A teacher was concerned that since transition metals are not part of the SL syllabus that Re was a bad choice, however, the question did not really require any transition metal chemistry to be answered.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was a good discriminator between high-scoring and low-scoring candidates. It was well answered by more than half of the candidates who had obviously carried out such displacement reactions and interpreted the outcomes during the course. Some candidates did not state the obvious of dipping the metal into the sulfates.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>More than half of the candidates named ReCl<sub>3</sub> correctly. Common mistakes included “rhenium chloride” and “trichlororhenium”.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The majority of candidates calculated the percentage, by mass, of rhenium in ReCl<sub>3</sub> correctly. Some rounding errors were seen that students should be more careful with.</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
    "topics": [
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter",
      "tools"
    ],
    "subtopics": [
      "reactivity-3-2-electron-transfer-reactions",
      "structure-1-2-the-nuclear-atom",
      "structure-1-4-counting-particles-by-mass-the-mole",
      "structure-2-4-from-models-to-materials",
      "structure-3-1-the-periodic-table-classification-of-elements",
      "structure-3-2-functional-groups-classification-of-organic-compounds",
      "tool-1-experimental-techniques"
    ]
  },
  {
    "question_id": "19M.2.SL.TZ2.5",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Carbonated water is produced when carbon dioxide is dissolved in water under pressure.</span></p>\n<p><span style=\"background-color: #ffffff;\">The following equilibria are established.</span></p>\n<p><img height=\"87\" 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\" width=\"517\"/></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Carbon dioxide acts as a weak acid.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Soda water has sodium hydrogencarbonate, NaHCO<sub>3</sub>, dissolved in the carbonated water.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Distinguish between a weak and strong acid.</span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\">Weak acid: </span></p>\n<p><span style=\"background-color: #ffffff;\">Strong acid:</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The hydrogencarbonate ion, produced in Equilibrium (2), can also act as an acid.</span></p>\n<p><span style=\"background-color: #ffffff;\">State the formula of its conjugate base.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">When a bottle of carbonated water is opened, these equilibria are disturbed.</span></p>\n<p><span style=\"background-color: #ffffff;\">State, giving a reason, how a decrease in pressure affects the position of Equilibrium (1).</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Predict, referring to Equilibrium (2), how the added sodium hydrogencarbonate affects the pH.(Assume pressure and temperature remain constant.)</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">100.0 cm<sup>3</sup> of soda water contains 3.0 × 10<sup>−2</sup> g NaHCO<sub>3</sub>.</span></p>\n<p><span style=\"background-color: #ffffff;\">Calculate the concentration of NaHCO<sub>3</sub> in mol dm<sup>−3</sup>.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Identify the type of bonding in sodium hydrogencarbonate.</span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Between sodium and hydrogencarbonate:</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Between hydrogen and oxygen in hydrogencarbonate:</span></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Weak acid</em>: partially dissociated/ionized «in solution/water»<br/><em><strong>AND</strong></em><br/><em>Strong acid</em>: «assumed to be almost» completely/100 % dissociated/ionized «in solution/water»  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">CO<sub>3</sub><sup>2–</sup>  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">shifts to left/reactants <em><strong>AND</strong> </em>to increase amount/number of moles/molecules of gas/CO<sub>2</sub> (g)  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«additional HCO<sub>3</sub><sup>–</sup>» shifts position of equilibrium to left  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">pH increases  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong> Note:</strong></span></em><span style=\"background-color: #ffffff;\"><strong> <em> </em></strong><em>Do <strong>not</strong> award M2 without any justification in terms of equilibrium shift in M1.</em></span></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«molar mass of NaHCO<sub>3</sub> =» 84.01 «g mol<sup>–1</sup>»  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«concentration = <span class=\"mjpage\"><math alttext=\"\\frac{{3.0 \\times {{10}^{ - 2}}{\\text{ g}}}}{{84.01{\\text{ g mo}}{{\\text{l}}^{ - 1}}}} \\times \\frac{1}{{0.100{\\text{ d}}{{\\text{m}}^3}}} = \" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mn>3.0</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>2</mn>\n</mrow>\n</msup>\n</mrow>\n<mrow>\n<mtext> g</mtext>\n</mrow>\n</mrow>\n<mrow>\n<mn>84.01</mn>\n<mrow>\n<mtext> g mo</mtext>\n</mrow>\n<mrow>\n<msup>\n<mrow>\n<mtext>l</mtext>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>1</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n<mo>×</mo>\n<mfrac>\n<mn>1</mn>\n<mrow>\n<mn>0.100</mn>\n<mrow>\n<mtext> d</mtext>\n</mrow>\n<mrow>\n<msup>\n<mrow>\n<mtext>m</mtext>\n</mrow>\n<mn>3</mn>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n<mo>=</mo>\n</math></span>» 3.6 × 10<sup>–3</sup> «mol dm<sup>–3</sup>»  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong> Note:</strong> Award <strong>[2]</strong> for correct final answer.</span></em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Between sodium and hydrogencarbonate:</em><br/>ionic  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>Between hydrogen and oxygen in hydrogencarbonate:</em><br/>«polar» covalent  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>It was rather disappointing that less than 70 % of the candidates could distinguish between weak and strong acids. Many candidates referred to pH differences.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A poorly answered question, though it discriminated very well between high-scoring and low-scoring candidates. Less than 40 % of the candidates were able to deduce the formula of the conjugate base of HCO<sub>3</sub><sup>-</sup>. Wrong answers included water, the hydroxide ion and carbon dioxide.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a relatively challenging question. Only about a quarter of the candidates explained how a decrease in pressure affected the equilibrium. Some candidates stated there was no shift in the equilibrium as the number of moles is the same on both sides of the equation, not acknowledging that only gaseous substances need to be considered when deciding the direction of shift in equilibrium due to a change in pressure. Some candidates wrote that the equilibrium shifts right because the gas escapes.</p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was one of the most challenging questions on the paper that required application of Le Chatelier’s Principle in an unfamiliar situation. Most candidates did not refer to equilibrium (2), as directed by the question, and hence could not gain any marks. Some candidates stated that NaHCO<sub>3</sub> was an acid and decreased pH. Some answers had contradictions that showed poor understanding of the pH concept.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Very well answered. Most candidates calculated the molar concentration correctly.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates identified the bonding between sodium and hydrogencarbonate as ionic. A much smaller proportion of candidates identified the bonding between hydrogen and oxygen in hydrogencarbonate as covalent. The most common mistake was “hydrogen bonding”.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-2-models-of-bonding-and-structure",
      "tools"
    ],
    "subtopics": [
      "reactivity-2-3-how-far-the-extent-of-chemical-change",
      "reactivity-3-1-proton-transfer-reactions",
      "structure-1-4-counting-particles-by-mass-the-mole",
      "structure-2-1-the-ionic-model",
      "structure-2-2-the-covalent-model",
      "tool-2-technology",
      "tool-3-mathematics"
    ]
  },
  {
    "question_id": "19M.2.SL.TZ2.6",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Draw the repeating unit of polyphenylethene.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Determine the density of calcium, in g cm\n    <sup>\n     −3\n    </sup>\n    , using section 2 of the data booklet.\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Ar = 40.08; metallic radius (r) = 1.97 × 10\n    <sup>\n     −10\n    </sup>\n    m\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Suggest\n    <strong>\n     two\n    </strong>\n    reasons why oil decomposes faster at the surface of the ocean than at greater depth.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Oil spills can be treated with an enzyme mixture to speed up decomposition.\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Outline\n    <strong>\n     one\n    </strong>\n    factor to be considered when assessing the greenness of an enzyme mixture.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (e)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    The minor product, C\n    <sub>\n     6\n    </sub>\n    H\n    <sub>\n     5\n    </sub>\n    –CH\n    <sub>\n     2\n    </sub>\n    –CH\n    <sub>\n     2\n    </sub>\n    Br, can be directly converted to an intermediate compound,\n    <strong>\n     X\n    </strong>\n    , which can then be directly converted to the acid C\n    <sub>\n     6\n    </sub>\n    H\n    <sub>\n     5\n    </sub>\n    –CH\n    <sub>\n     2\n    </sub>\n    –COOH.\n   </span>\n  </p>\n  <p style=\"text-align:center;\">\n   <span style=\"background-color:#ffffff;\">\n    C\n    <sub>\n     6\n    </sub>\n    H\n    <sub>\n     5\n    </sub>\n    –CH\n    <sub>\n     2\n    </sub>\n    –CH\n    <sub>\n     2\n    </sub>\n    Br →\n    <strong>\n     X\n    </strong>\n    → C\n    <sub>\n     6\n    </sub>\n    H\n    <sub>\n     5\n    </sub>\n    –CH\n    <sub>\n     2\n    </sub>\n    –COOH\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Identify\n    <strong>\n     X\n    </strong>\n    .\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <img height=\"187\" src=\"data:image/png;base64,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\" width=\"286\"/>\n  <strong>\n   [\n   <span style=\"background-color:#ffffff;\">\n    ✔]\n   </span>\n  </strong>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    <span style=\"background-color:#ffffff;\">\n     Note:\n    </span>\n   </strong>\n   <span style=\"background-color:#ffffff;\">\n    Do\n    <strong>\n     not\n    </strong>\n    penalize the use of brackets and “n”.\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    Do\n    <strong>\n     not\n    </strong>\n    award the mark if the continuation bonds are missing.\n   </span>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    a\n   </em>\n   = «\n   <span class=\"mjpage\">\n    <math alttext=\"\\frac{{4r}}{{\\sqrt 2 }} = \\frac{{4 \\times 1.97 \\times {{10}^{ - 10}}{\\text{m}}}}{{\\sqrt 2 }}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mfrac>\n      <mrow>\n       <mn>\n        4\n       </mn>\n       <mi>\n        r\n       </mi>\n      </mrow>\n      <mrow>\n       <msqrt>\n        <mn>\n         2\n        </mn>\n       </msqrt>\n      </mrow>\n     </mfrac>\n     <mo>\n      =\n     </mo>\n     <mfrac>\n      <mrow>\n       <mn>\n        4\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <mn>\n        1.97\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <mrow>\n        <msup>\n         <mrow>\n          <mn>\n           10\n          </mn>\n         </mrow>\n         <mrow>\n          <mo>\n           −\n          </mo>\n          <mn>\n           10\n          </mn>\n         </mrow>\n        </msup>\n       </mrow>\n       <mrow>\n        <mtext>\n         m\n        </mtext>\n       </mrow>\n      </mrow>\n      <mrow>\n       <msqrt>\n        <mn>\n         2\n        </mn>\n       </msqrt>\n      </mrow>\n     </mfrac>\n    </math>\n   </span>\n   =» 5.572 × 10\n   <sup>\n    –10\n   </sup>\n   «m»\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   volume of unit cell = «(5.572 × 10\n   <sup>\n    –10\n   </sup>\n   m)\n   <sup>\n    3\n   </sup>\n   × 10\n   <sup>\n    6\n   </sup>\n   =» 1.73 × 10\n   <sup>\n    –22\n   </sup>\n   «cm\n   <sup>\n    3\n   </sup>\n   »\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   mass of unit cell =«\n   <span class=\"mjpage\">\n    <math alttext=\"\\frac{{40.08{\\text{ g mo}}{{\\text{l}}^{ - 1}} \\times 4}}{{6.02 \\times {{10}^{23}}{\\text{mo}}{{\\text{l}}^{ - 1}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mfrac>\n      <mrow>\n       <mn>\n        40.08\n       </mn>\n       <mrow>\n        <mtext>\n         g mo\n        </mtext>\n       </mrow>\n       <mrow>\n        <msup>\n         <mrow>\n          <mtext>\n           l\n          </mtext>\n         </mrow>\n         <mrow>\n          <mo>\n           −\n          </mo>\n          <mn>\n           1\n          </mn>\n         </mrow>\n        </msup>\n       </mrow>\n       <mo>\n        ×\n       </mo>\n       <mn>\n        4\n       </mn>\n      </mrow>\n      <mrow>\n       <mn>\n        6.02\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <mrow>\n        <msup>\n         <mrow>\n          <mn>\n           10\n          </mn>\n         </mrow>\n         <mrow>\n          <mn>\n           23\n          </mn>\n         </mrow>\n        </msup>\n       </mrow>\n       <mrow>\n        <mtext>\n         mo\n        </mtext>\n       </mrow>\n       <mrow>\n        <msup>\n         <mrow>\n          <mtext>\n           l\n          </mtext>\n         </mrow>\n         <mrow>\n          <mo>\n           −\n          </mo>\n          <mn>\n           1\n          </mn>\n         </mrow>\n        </msup>\n       </mrow>\n      </mrow>\n     </mfrac>\n    </math>\n   </span>\n   =» 2.66 × 10\n   <sup>\n    –22\n   </sup>\n   «g»\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   density = «\n   <span class=\"mjpage\">\n    <math alttext=\"\\frac{{2.66 \\times {{10}^{ - 22}}{\\text{g}}}}{{{{(5.572 \\times {{10}^{ - 10}})}^3} \\times {{10}^6}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mfrac>\n      <mrow>\n       <mn>\n        2.66\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <mrow>\n        <msup>\n         <mrow>\n          <mn>\n           10\n          </mn>\n         </mrow>\n         <mrow>\n          <mo>\n           −\n          </mo>\n          <mn>\n           22\n          </mn>\n         </mrow>\n        </msup>\n       </mrow>\n       <mrow>\n        <mtext>\n         g\n        </mtext>\n       </mrow>\n      </mrow>\n      <mrow>\n       <mrow>\n        <msup>\n         <mrow>\n          <mo stretchy=\"false\">\n           (\n          </mo>\n          <mn>\n           5.572\n          </mn>\n          <mo>\n           ×\n          </mo>\n          <mrow>\n           <msup>\n            <mrow>\n             <mn>\n              10\n             </mn>\n            </mrow>\n            <mrow>\n             <mo>\n              −\n             </mo>\n             <mn>\n              10\n             </mn>\n            </mrow>\n           </msup>\n          </mrow>\n          <mo stretchy=\"false\">\n           )\n          </mo>\n         </mrow>\n         <mn>\n          3\n         </mn>\n        </msup>\n       </mrow>\n       <mo>\n        ×\n       </mo>\n       <mrow>\n        <msup>\n         <mrow>\n          <mn>\n           10\n          </mn>\n         </mrow>\n         <mn>\n          6\n         </mn>\n        </msup>\n       </mrow>\n      </mrow>\n     </mfrac>\n    </math>\n   </span>\n   » 1.54 «g cm\n   <sup>\n    –3\n   </sup>\n   »\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     Note:\n    </strong>\n    Award\n    <strong>\n     [3]\n    </strong>\n    for correct final answer.\n   </span>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c(i))\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    Any two of:\n   </em>\n   <br/>\n   surface water is warmer «so faster reaction rate»/more light/energy from the sun\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   more oxygen «for aerobic bacteria/oxidation of oil»\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   greater surface area\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c(ii))\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    Any one of:\n   </em>\n   <br/>\n   non-hazardous/toxic to the environment/living organisms\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   energy requirements «during production»\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   quantity/type of waste produced «during production»\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   atom economy\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   safety of process\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     Note:\n    </strong>\n    Accept “use of solvents/toxic materials «during production»”.\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    Do\n    <strong>\n     not\n    </strong>\n    accept “more steps involved”.\n   </span>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   C\n   <sub>\n    6\n   </sub>\n   H\n   <sub>\n    5\n   </sub>\n   –CH\n   <sub>\n    2\n   </sub>\n   –CH\n   <sub>\n    2\n   </sub>\n   OH\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n</div>\n",
    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Most candidates were able to draw the monomer correctly. Some candidates made careless mistakes writing C\n  <sub>\n   6\n  </sub>\n  H\n  <sub>\n   6\n  </sub>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Majority of the candidates managed to get three marks in determining the density of the calcium.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c(i))\n </div><div class=\"card-body\">\n <p>\n  While many candidates did receive two marks for this question some candidates only suggested one reason or repeated the same reason (for example - heat and energy from the sun) even though the question clearly asked for two reasons.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c(ii))\n </div><div class=\"card-body\">\n <p>\n  Students tend to struggle with these questions and end up giving journalistic or vague answers that cannot be awarded marks. It is important for teachers to instruct students to give more specific answers directly related to the topics presented.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  Quite well answered though some candidates suggested an aldehyde rather than the alcohol, or forgot that C has two hydrogens apart from the -OH. In other cases, they left a Br there.\n </p>\n</div>\n",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-2-models-of-bonding-and-structure",
      "tools"
    ],
    "subtopics": [
      "reactivity-2-1-how-much-the-amount-of-chemical-change",
      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
      "reactivity-3-2-electron-transfer-reactions",
      "reactivity-3-4-electron-pair-sharing-reactions",
      "structure-2-3-the-metallic-model",
      "structure-2-4-from-models-to-materials",
      "tool-3-mathematics"
    ]
  },
  {
    "question_id": "19M.2.SL.TZ2.9",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    The regular rise and fall of sea levels, known as tides, can be used to generate energy.\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    State\n    <strong>\n     one\n    </strong>\n    advantage, other than limiting greenhouse gas emissions, and one disadvantage of tidal power.\n   </span>\n  </p>\n  <p>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Advantage:\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Disadvantage:\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Suggest\n    <strong>\n     two\n    </strong>\n    reasons why oil decomposes faster at the surface of the ocean than at greater depth.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Oil spills can be treated with an enzyme mixture to speed up decomposition.\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Outline\n    <strong>\n     one\n    </strong>\n    factor to be considered when assessing the greenness of an enzyme mixture.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><br><div style=\"height: 2px; background-color: black; width: 100%;\"></div><br><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    <strong>\n     Advantage\n    </strong>\n   </em>\n   <br/>\n   <em>\n    Any one of:\n   </em>\n   <br/>\n   renewable\n   <strong>\n    [✔]\n   </strong>\n   <br/>\n   predictable supply\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n   <br/>\n   tidal barrage may prevent flooding\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n   <br/>\n   effective at low speeds\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n   <br/>\n   long life-span\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n   <br/>\n   low cost to run\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <br/>\n   <em>\n    <strong>\n     Disadvantage\n    </strong>\n   </em>\n   <br/>\n   <em>\n    Any one of:\n   </em>\n   <br/>\n   cost of construction\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n   <br/>\n   changes/unknown effects on marine life\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n   <br/>\n   changes circulation of tides in the area\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n   <br/>\n   power output is variable\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n   <br/>\n   limited locations where feasible\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n   <br/>\n   equipment maintenance can be challenging\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n   <br/>\n   difficult to store energy\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     Note\n    </strong>\n    : Do\n    <strong>\n     not\n    </strong>\n    accept vague generalizations.\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    Do\n    <strong>\n     not\n    </strong>\n    accept economic issues for both advantage and disadvantage.\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    Do\n    <strong>\n     not\n    </strong>\n    accept sustainable.\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    Accept “energy” or “electricity” for “power”.\n   </span>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(i))\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    Any two of:\n   </em>\n   <br/>\n   surface water is warmer «so faster reaction rate»/more light/energy from the sun\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   more oxygen «for aerobic bacteria/oxidation of oil»\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   greater surface area\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(ii))\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    Any one of:\n   </em>\n   <br/>\n   non-hazardous/toxic to the environment/living organisms\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   energy requirements «during production»\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   quantity/type of waste produced «during production»\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   atom economy\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   safety of process\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     Note\n    </strong>\n    : Accept “use of solvents/toxic materials «during production»”.\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    Do\n    <strong>\n     not\n    </strong>\n    accept “more steps involved”.\n   </span>\n  </em>\n </p>\n</div>\n",
    "Examiners report": "<br><br><div style=\"height: 2px; background-color: black; width: 100%;\"></div><br><div class=\"card-body\">\n <p>\n  Many candidates performed well on this question especially when identifying an advantage of tidal power. The students who struggled tended to either give vague or journalistic answers especially for the disadvantage of tidal power.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(i))\n </div><div class=\"card-body\">\n <p>\n  Many candidates received two marks for this part while some candidates only suggested one reason or repeated the same reason (for example - heat and energy from the sun) even though the question clearly asked for two reasons.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(ii))\n </div><div class=\"card-body\">\n <p>\n  The candidates struggled with this part and gave journalistic or vague answers that cannot be awarded marks. Atom economy was mentioned correctly by a few candidates.\n </p>\n</div>\n",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions",
      "reactivity-2-how-much-how-fast-and-how-far"
    ],
    "subtopics": [
      "reactivity-1-3-energy-from-fuels",
      "reactivity-2-1-how-much-the-amount-of-chemical-change",
      "reactivity-2-2-how-fast-the-rate-of-chemical-change"
    ]
  },
  {
    "question_id": "19N.3.SL.TZ0.1",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">A student investigated how the type of acid in acid deposition affects limestone, a building material mainly composed of calcium carbonate.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"173\" 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\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"389\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The student monitored the mass of six similarly sized pieces of limestone. Three were placed in beakers containing 200.0 cm<sup>3</sup> of 0.100 mol dm<sup>−3</sup> nitric acid, HNO<sub>3</sub> (aq), and the other three in 200.0 cm<sup>3</sup> of 0.100 mol dm<sup>−3</sup> sulfuric acid, H<sub>2</sub>SO<sub>4</sub> (aq).</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><img height=\"361\" 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\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"556\"/></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The limestone was removed from the acid, washed, dried with a paper towel and weighed every day at the same time and then replaced in the beakers.</span></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The student plotted the mass of one of the pieces of limestone placed in nitric acid against time.</span></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><img height=\"507\" 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E4oBAOg9oRgAgN4TigEA6D2hGACA3hOKAQDoPaEYAIDeE4oBAOg9oRgAgN4TigEA6D2hGACA3mscio+ODgcHB/szL2dnZ6NnAgBAuzQOxVtbW4M7d96beVlevjlYX39bOAYAoHUah+K1tbXBtWvXqttLS0vngXfjPPzerZbl5VvV9ijbV1ZuV9XlBGMAAGiThXqKU/VN6D06+nqwvf3x4N6931XLwcGX1TpOTk6q23t7n1f7Hh8/GNy/v1M9BgAAbdA4FO/uflZVihOGJ6lXhxOEY2Njo1ofHh5WawAAaINGoTgV4lSAl5ZujLZMtry8XK2zb5T99RUDANAmjUJxKsRZzs5OR1smK2G49B4LwwAAtFHj9om0RiT0bm5+MNrytPQNZyq2DMLLvpH7sbKyUq0BAKANGofi9BJnlom9vd3zkPt6FY63tj6qltXVN6t1KsT3739a7Z+QXLZtbLxTbQMAgDZoHIoTbsuMEmmLSDhO8M2SgXWrq2uDg4OvHk/Ptr+/X91OmE71GAAA2qJxKI4E44Tc4+NvqoCcqnCW3M+6Hn4zTVuWhGUAAGiThUJxXfqGE3izlIF1AADQBVcWigEAoKuEYgAAek8oBgCg94RiAAB6TygGAKD3Zg7FufBGmYMYAABeJjOH4lzSuVytLlewu3PnveqCHdnedbn4SD7T8vLN0ZZn5ReCPL609Fq1rK+//fiy1bMaf40cM9tmcXR0WD0nX3cAAK7WzKE4F+PIxTfu3fvdeTi7UYW0XNo5wS5BOeEu27ooQXNauE8Azi8ECc9FPmueN2swLpfBrr9G+UXjsqCb5+T5AAA8H3P1FOcyzXfu3K2uXleuWpfLPEfCXcJj16rIl4X5fI48ns9+dPT1+Wf6rlryy0Hkc18mLSd5ncjzxl8jwXra1+qy0A4AwGIWGmiXq9flMs+pICcwJuQNw+PTVeS2BrqE0YTaaZeefvjwYbVeW1sb1C9bnV8Ocj+f7bI+66Ojo2qdr0+eV+R2+aXioopz3l++ni6PDQDw/CwUiusSEBPyUj1OFTnV5BIA2zg4L2E2wT0hPsF+EdeuXR/dmuzBg+HnX15ertZ1t2/frtZln7pUl1PJTnBOKAcA4Pm4slA8bmXldlUZTRW5jVXO0sebED9NCaP7+0+3OJT2kITqegV5kvK89GKPK8+tv3bkfqrEVxHaAQCY7rmF4jZLhTjV64T2ywJtQmmC89nZadUOUmaOGLaH3K4q4pc5ORm2YFy7dq1a15WgXPYpZg3tAAAsrnehOO0IqfImEJd+3suktWG8khsJsuNh9ipkwGJCewLxZaEdAIDFvfLo3Oj2Sy8D1oYzZDxd4c2UZ5k/OJXc9EPXpYUhQTrPSUgt1d4MjCvTpB0cfDU1vOa1c4y89ni1ePzYOVaOOT4oL8dL9TitKE2qx6luz+Pu3fdHtwAAno/NzXujWy9er0JxQuVFszzUpWUivdDD28MLemR2jfFAe1GAHZcZOFL5zWuMh+dsz+PlmCVAXybHy3GfhwToTBlHN2xvb7XqmwrTOV/d4nx1i/PVLW07X1faPjFLmOuSfJ7ymcYDcZSAO2nmiLqy36RWi/L62iQAAF6chUNxKq9pSUiFM0upxKYqWy5Y0RZpOygXzqgvpWUiwTf3S5U49yeF4aL0GU/bJ27dulWtDw+fvUhI2Vb2yXsZf39ZSstE2idy/3lViQEA+mihUJye2oTftACMB8P07+bxtBh0WXqJU83N56wPtkv43939rLpd5hq+yMrKSrXO16L+9ajfL/sAAPDDaxyKUwXOksplemXH5yLOQLYE5Z2dTzrdVpE5gtPakBBcn5KthOT09tY/e7bn8fQaF+kXLvtke3mNsk8eyz4AALwYjUPx7u6wNSJ/xp/UPpCQlxkMEojb1kYxj3y2hP7xgXSpICcwz9rGkPaHvEb9a5XbeX6T2SQAALg6jUJxgm5aJhJ8pw0QK4+dnp5W67ZKOE2f7vh0bHUJr/Ue31TCJ81zXPqWJ4XlbKv3DOf2tFkr6lJNznMEaACAq7fwQDsAAOi6RqE4ldVUiTPF2LR+4f394UwUN24ML2UMAABt1LhSvLa2VgXi+oCyusyqkMFpCdDjg/AAAKBNGofi9MIOL5e8W81TfHx8XG1PdThXaCthOX209cFlAADQNgv1FGewWcLx8BLGw4tQpDqc+wnMGRQ2aTAaAAC0ycID7cqMCgnICcFZMoVZ7mubAACgCxYOxUUqwwnBWaZN0wYAAG0zcyhOe0RaI5osXb6iHQAAL79XHp0b3Z4qg+fSK9xEWiq0UnRHLkGdC4XQDdvbW4PNzXuje7Sd89Utzle3OF/d0rbzNXMozhRrTa9Mt7HxjpaKDhGKu8UPgW5xvrrF+eoW56tbOhuKZ1HaJEzB1m1Ccbf4IdAtzle3OF/d4nx1S9vO18ID7VJBzjzFy8s3Hy9ptch2vcQAAHTBQqF4c/OD6iIdGYS3tHSjuvRzlvQeZ/vq6huN+5ABAOCH0jgUJ/TmanYJwQcHXz61ZN7izF98cnJyHpw3R88AAIB2ahyKM9VaZGaJBOO69BTnSneZcSKV4oRnAABoq0ahOL3CqQInDE+bVWJtbTgN28OHD6s1AAC0UaNQnEpwwvDZ2fQp2spAu+vXr1drAABoo8btE5l7ONXizDIxSQLx7u5uFaBduAMAgDZrHIqXl5cHKyu3qwF3mZIt4bhc1jm3y8wTd+++X63LY1kSpgEAoC0ah+Ktra1qKrbIOuH4zp33qiW3S/Ctby/L7u5n1WMAANAGja9ol2pw08s+37p1S0tFi7miXbe4glO3OF/d4nx1i/PVLW07X1d6mWdeDkJxt/gh0C3OV7c4X93ifHVL285X4/YJAAB4WSwciscH0U1aytRsAADQRo1DcYJuZp1YXX3zmYF040sZkAcAAG3UOBSXsJuLeOSSztOW8ctAAwBAmzQKxakSJxDnwhwHB18N7t373dRl2qWgAQDgRVuop3hp6UYVjAEAoMsaheIE4VzN7uys2TzFAADQJo0rxffu3avaKDY3PxhtAQCAbmocijN47u7d9wd7e7vnt29Ws1BctJh9AgCANmscinOZ562tj6rbqRhnvuKLFvMUAwDQZo1D8e7uZ9U6s0scH38zdVldXav2BQCANmoUilP5PTk5qVooMg9xBt5NWwAAoM0aheIEXXMPAwDwsmjcPrGx8c4g/cIG0QEA0HWNQ/Hy8nI1V3Eu95xp2Q4O9i9cDLQDAKDNGofira2tqkqcwJtp2RKOL1pUkwEAaLPGoXhtbe088N6dacmAvDZLsF9Zeb2ab/kimYIujy8tvVYt6+tvV1XweYy/Ro6ZbZNkIGMq8GXfLJnzOb+AAABwtV55dG50u7cScFPNzgDCTCE3rjw+yf37n8405VwC7kWBNs/P6xTp1c4xL2o7yS8amQrveUkAPzn5bnSPttve3jr/93VvdI+2c766xfnqFuerW9p2vhpXiiPVzHIRj4uWVDfnraj+kPL+p7V3JMjm8VS7j46+rsJilhJK8xkvk5BbAnGeN/4a+frka1lsbm6Oqte3q5Be9k8YjrznvCYAAFejcShOKFtdfaMKhQlpFy3Zr61zFSeMDoP7xZXehw8fVuu0i9SnoUtAzf2E2csC6tHRUbVOCC7BNnJ7fX2jul1+cSivl6/Z3t7nT33t8vzyXstrAgCwuMaheGdnp6pmlj/9p6oZ29sfV+Gt9BHnfnmsTUrPbt5n3uMirl27Pro12YMHw9CcGTvG3b49/NqUfYZB+7vzYPxsG0fcujX8up6enlZrAAAW1zgUp6UgVcwEygTjEu6yLRXQUuXc2fmk2t42mRUj6r28k6RCHPv7T7c4pB0i9xOqL7uQSXne0tKNal1Xnlt/7WlK5frGjWdfCwCAZhqF4lSIsyTklT/vl3BXKp7ZnrCcsNe2nuJUiNOikIr2ZYE2oTfB+ezsdJDZIspMEHmNVMAT/i9zcjIMsuVrVVeCctlnmrznhPG859J2AQDA4hYaaFdXwmV9xoTx1oA2SJ9zgmUC8azBMu9/UiU3QXaWMHsVcvxS3V603QMAgKc1npItVdPIjAyRMJw5eFNZPTj4stqWCvHwAh7PdwqxWaXlI1OdjVd4y3tPJXe8l7cMJMxzUjEu1d58tlSLh7e/evxLwSR57Rwjrz1eLZ527CKBeH39l9U672HawMCLpLo9j7t33x/dAgB4Plo1hV5CcRPvvff3j3784798tLPzyWjLo0dvvvnGo5/85K8fnZ6eVvc/+uh/PrPPi1Te82VLPkeRz1P/THX5XNn/ss+X18t+Dx8+HG154sGDf33mmHV5/G/+5r9U++zv/6/R1ucrx6I7zn9xG92iC5yvbnG+usX56pa2na/G7ROp/Ka6ef6BqkpqZFBaKp+pDqeKWravrKxU667JZ8kS4xXeGO+jvkjZb1KrRXn9SZXmfG0zz3P2aVohBgDgco1DcUJcWhDSVlACY5l3N20K6dvN9vr0bC9agmW5EEZ9KW0Leb+5X9o/cn9SGC5Kn/G0faJMo3Z4+OxFQsq2sk+RNo/8UjFsR/lKIAYAeI4WGmiXwJZgXB+wlkFgCZUJoOk3rl+soosS+kv1uz7YLj3Fu7ufVbfLgMKLlEp5Qm6pnkf9fr2anip7frHIsfO1nNavDADA4q5s9om6hOVUNi+roHZBQn5CaUJwfUq2EpIT+utV3GzP42l9KMrXI7K9vEbZJ4+VanqZdi0SjMu+40uOAwDA1Vg4FCcYlr7YSOUzfbDlz/9dl2A/qeKdKm4C86yzaqRynteo/6KQ23l+HitcvhkA4IfXeEq2yJ/5y5y/CXwJwfUKaaS1wry63ZJKdHqr6Ybt7a12TWnDVM5Xtzhf3eJ8dUvbzlfjSnHCb7m6Wul5LT22Ccmprg57jnerlgAAAGirxqG4/Jl/b++fq57Y9L+mlSItAakaJyhnirbQEgAAQJs1CsXpIU71N5XgUiU+Pj6u1ktLN6p1lMdOT0+rNQAAtNGVzT6xv79frUt1OOoD8AAAoK0aheK0SKRKnGpxWiaylL7h+ny7F12YAgAA2qRxpbhUhNfXf1ktkWnKEpYTkjMlW+b2zf36PL4AANA2jUNxBtNlSYtEQnACcZlv9+zstBp4l2254h0AALTZQj3FmXrt+Pibakn4LRemSHU4lyeubwMAgLa6koF2k4JvgjEAAHTBlYRiAADoMqEYAIDeE4oBAOg9oRgAgN670lDsCnYAAHTRwqE4F+jIhTqWl29WS+7HnTvvDfb2dqvbAADQZguF4s3ND6rwm0s8j0/Llot35PH793dGWwAAoJ0ah+JUgbPkEs5HR18/cynncuGOnZ1PtFUAANBqjUPx7u6wNSJXtbvo4h13775fBWJtFAAAtFmjUJygm5aJBN+lpaXR1meVx05PT6s1AAC00cID7QAAoOsaheK0S6RKfHLycGq/8P7+cCaKGzduVGsAAGijxpXitbW1KhBvbX002vK0zDqR6dkSoMcH4QEAQJs0DsV37twdrKzcrgbRZZ7i4+Pjanuqw6urbz4OyxcNxAMAgLZYqKc4064lHGfQXeYljlSHcz+B+f79T88D80a1HQAA2mrhgXapBB8ff1MF5ITgLJm3OPe1TQAA0AULh+IileGE4CzTpmkDAIC2WTgUp1UiLRPTFle0AwCgzRqH4gTdDLDLoLo7d96bupR+YwAAaKPGoXhz84Mq7GZmiQymy4C7i5bMaQwAAG3VOBSX6m8G1G1vf1wNuLto0WMMAECbNQrFaZ3IkgqwKjAAAF3XKBSnZUL1FwCAl0Xj9omNjXcezzwBAABd1jgULy8vV60TGXCXZXwatvpiSjYAANqscSje2tqqKsUJvHt7u4NJU7GVxZRsAAC0WeNQvLa2dh54J0/BNr4YjAcAQJu98ujc6DZUlpZeG5ycfDe6R9ttb28NNjfvje7Rds5Xtzhf3eJ8dUvbzlfjSvEkZao2AADokoVDcfqJc7nn5eWbj5dc+jmD77oSkPM+V1Zer977Re7f36keTxU1Sz5zBhHOY/w1csxsmyTvKV/Dsm85Zr7eAABcrYVCcZl5olzuuVzMIwPwEt4S+nK77TIY8OTkZHTvWQmjW1sfPRXy85nzvFmDcb5O46+RY2ZbXmfcpACcY+Z1LgrSAAA00zgUJ7BlSQi+f//T88D29XlA/LJacjsD7IbVzs3RM9opATNh8yL5jHk8nzOfK722WXL56kiovUz5JSHyvPHXSLCuh/K8pzwnF0jJ17bsv7q6Vj2+u/tZtQYA4Go0DsW7uyXk3Xsc1oqEuQS+bE+4m7fN4IeS95VQO/7+6x4+fFitM9tG/Sp+Cf25nzB7WTX86OioWudrkucVub2+vlHdrn+NDg+HIX17++On3lsC8qzHBABgdo1CcSrACWWpnq6s3B5tfdbt28PHHjxoX4BLsEwrQj5Dwucirl27Pro1Wfn8ueDJuElfo3xt044y6WtbQnIJ2gAALG7hgXbTJNi1VenjTfV1mlSIY3//6RaHtEPkfkJ1vYI8SXne0tKNal1Xnlv2yS8cWS762l2/Pgzgp6en1RoAgMU1CsVlUF0qmvWgOK60AZQg1xapEOe9p53hskCbz5ngfHZ2OsjAwTITRF4jldy9vc9He17s5GTYgjEp6JagXPZ5su/kr9l4iAYAYHGNK8UrKyvVenxGhSI9sqmmJgiWvtk2yCC2vK8E4lnfV1obJoXQBNgSYgEA6K6FrmiX+Yjr/a+lipl+12yP8cFlL9LR0WE11dl4hTehPvMH53McH38z2jqU0J8gneekYlyqvQn9qRYPb3/1+LNPktce9mF/8/j5xfix83XL1zUV6szkMS7HTetHeosva/2oS3V7Hnfvvj+6BQDwfLTqCoQJxU2dnp4++uCD//fRT37y149+/OO/fGp5++1fPtrf/1+jPdvhvff+/pn3OWl58803Rs94VH22LPms43Z2Pqn2z3qavF72e/jw4WjLEw8e/OtTx8xxcv9v/ua/VPfHlWN+9NH/HG25enl9uuP8F7fRLbrA+eoW56tbnK9uadv5WmigXaqbmbkhFc5UXlO5zJL5fHN/2lRnXZAqbmkNGa/wRqkOXza7xpM+4GdbLcrrl31ynCxl+0Xa1qcNANBljUNxWgrOE/7oXnqMb1chOMuTEHhS/am/XLjiRUtgLxfCqC+lZSJhNPdL20IJqBcpfcbT9olbt25V6zLwsK5sK/tEWicSiutzFxeZBSMmTe8GAEAzjUNxwlmC8bSKZvpjE+zKBTC6KGE/nzHhvj7YLp+rXFmuzDV8kTIoMV+vLEX9ftknyuvll456MM57yNc0v3TkfQEAcDVmDsVHR4dVSCtLpiiLnZ1PntpeX3Z2hoGvy3/qT3tIQmjCaX1KthKSM4iw3iaS7Xk8n79I5bfsk+3lNco+eSz7FPWr5ZXXy1IC8sbGO9UaAICrMXMoHs6GMKwOZylV03J/0lKqmm2akm1eaY1Ij/T4DBqp1CYwZ3aNWaR1I69Rb7XI7Tx/0iwSe3v//MzXLecgx2zLbB4AAC+LuaZkSxAuU62lCpzbkwJdXb2KSjekKp3earphe3urXVPaMJXz1S3OV7c4X93StvM1V09xqr4JuVly+ePSOjBtAQCAtms80C6BOH/6T/W4PtgubRO5+EQukpHbAADQdo1DceSKbhl8VqZcSwjO4LG0VZSBeeWqbwAA0FaNQ3ECb8JwWiqyRJmiLBXkDE7LwLDsU/qQAQCgjRqH4qOjo2qdWRLSO5zKcFopMqNCWisSlNN3HGVfAABoo0ahOD3Eqf6mElyqxMfHx9V6aelGtY7y2OnpcE5jAABoo4V6iuvK5YdLdTimXe0OAADaolEoTotEqsSpFqdloj5/cf1yxYeHh9X61q0nV2sDAIC2aVwpLhXh9fVfVkvkKm8JywnJmZItV8DLffMVAwDQZo1DcQbTZUmLREJwAnG5ut3Z2Wk18C7b9vY+r7YBAEBbLdRTnKnXjo+/qZaE37RVRKrDBwdfPrUNAADa6koG2pXgWx9Yl2AMAABdsHAoTt9w+oeXl29WS+7HnTvvVRfuAACAtlsoFOcSzgm/mXlivE0iPcV5PJd+BgCANmscilMFzjK8mt3Xz8wwUfqJd3Y+MV8xAACt1jgU7+4OWyMy2G7SYLr0FN+9+34ViLVRAADQZo1CcYLu+GWeJ3GZZwAAumDhgXYAANB1jUJx2iVSJT45eTi1X3h/fzgTxY0bN6o1AAC0UeNKcS7znEC8tfXRaMvTMutEpmdLgHaZZwAA2qxxKM4lnoeXcd6t5ik+Pj6utqc6vLr65uOwfNFAPAAAaIuFeooz7VrCcQbdZV7iSHU49xOY79//9Dwwb1TbAQCgrRYeaJdK8PHxN1VATgjOknmLc1/bBAAAXbBwKE5VONXh+oC7sq0s0wbjAQDAi9Y4FCfoppc4/cO51PO0pbRWAABAGy0w0G4YdnOBjvQVT1syfRsAALRVo1CcKnECcWaVODj4quornrZMu+odAAC8aAv1FC8t3TDdGgAAndcoFCcIZ8q1s7PT0RYAAOiuxpXie/fuVW0Um5sfjLYAAEA3NQ7FGTx39+771RXtlpdvVrNQXLSYfQIAgDZrHIrv3995fCnnVIwzN/FFi3mKAQBos8aheHf3s2qd2SVyRbtpiyvbAQDQZo1CcSq/JycnVQtF5iHOwLtpCwAAtFmjUJyga+5hAABeFo3bJzY23hmkX9ggOgAAuq5xKF5eXq7mKs7lnjMt28HB/oWLgXYAALRZ41C8tbVVVYkTeDMtW8LxRYtqMgAAbdY4FK+trZ0H3rszLRmQ12YJ9isrr1fzLdelPWRp6bVLlwT/WWQauxynPG99/e2qkn6R7J/3NOv+AAA00zgUJ+xmOrZZlrYPykuozWwaTc0yw0aOkXmd68dJBT3bE37HJQBn/3rrSdlfMAYAuFqNQ/HLIoH0ovaOVLhPTr6buOztfV7tk8Cf4D9N6a3OvtvbHz9+jaOjr6tj7Ox8cn7/SVhOO0reUx7LPmX/cpxy0RQAAK7GzKE4Ia1eoSz3Z1naOtAu7y0Bs8nFRTK4MBJyL6sU7+7uVuvM2LG+vlHdjmGgvld9fcrFUOLhw4fVOi0q9Sp7qvO5nwCd1g4AAK7GzKE4A+vyp/sScMv9WZaLKrEvUoJlgm2qsQm28yhtEAnTmYHjMicnw5A7KXyXfuujo6NqPatr166PbgEAsKiZQ3EZWFeqol0faJewHvfvf1qtZ5UKbVou8nWYNUyXXySmVZRLcI58bWN/f78K30XaKnI/X896BRkAgMXMHIoTbuu9s+X+LEvbAlwqxAm3Td7bzs5wUFzaIGYZYBdPqsHPVswnbcv+CetnZ6eD+mwVed+pTJd+ZgAArsbcPcVNljb1FKfKm4prAnG9v3cW+Rz5OiQM3737/mjr5W7fHrZYJFDXe4HzPkpv8rgHDx48VSUuUlGuV5UBAFjcK4/OjW5Ptbr6ZuPBXal6NhnMdtUSaDPV2Xi1NWE38wEn7B4ffzPa+qwE6jIwb962ixw3xx+X91K+ruXYOUaOlcdynFKRzi8YJUQfHHw1V5U7leZ5zBP6AQCa2Ny8N7r14s0cihPSTk9PR/fmk1kX2tBCkT7iBMvLpH3h4ODL0b0n0sqQ6m0C9SwD7MaVUB2l2pxq9fACHUvnofnr6rFyEZHcH2/RKK+RSndaWJ6HBOhMAUc3bG9vteqbCtM5X93ifHWL89UtbTtfc/cUN1na1lPcRMJwlnyWJoE48jUscw6nKpz7pUpc+o5TtZ42MK98LdNeAQDA1Zg5FL8M0opQQml9KW0LCaG5P6lKfDRqfWgSiNPykOprqrzjDg+Hr1v6jvMeJoXhovQZT9sHAID59CoUL6JUZm/cuFGt5/FkoN0nT7VvJCRnsF2qv/VBfwneqRan3aM+2C7PLRf5KK8JAMDihOIZlXB6WStIgmyqwqV3OMpFPkrQzeP1fcYH7WX+4xwnIbg+JVsJyWm7aMPARQCAl4VQPKPS53tZKL5IBuelv7ouwTazSJR+4iKtERlkNz6QLsE6gXn8dQAAWIxQfK70Ek+bji19xtlnPMCOK33Lk4JrfaBdluw7LWTnNer7J1jPO7cyAACXmzkUp/91fKBYqZ4CAECXzRSKE37T/7q//2SQWC7mkfl0BWMAALpurvaJs7NmF+8AAIA2mykUp+c2g7wy80FmQ0iV+OTkYfVYLl+c+9OWowmXNwYAgLaYuVJ87969x8E4V2ErbRO5fdmixQIAgDabORRn1oXMfpAZGrKUWRjK/WmLOXUBAGizuXqKI60UWdbW1qopxsr9aQsAALTZ3KG4SCAen4s3bRJaJQAA6JrGobjY29utBttlerayZHDd5uYHAjIAAJ2wUChO8M2S2SXSJpE+4ywZXJewnJkqchsAANqscShO6M2SEJzLFR8dfV1dCjlLbqe9IpXizc3N0TMAAKCdGofi3d3dap2p2sZnl1haWqr6jbM9leKDgydXwgNm9/333w9+9rO/Hfzxj1+MtsxukecCQN80CsWpACfspkqcuYsvcvv28LEHD7RQQBMJtN9+++3gt7/9zVzhNoH4F794q3ruhx/+vroPAFxs4YF205iODRbz7ru/Hrz11s+r27MG43og/tGPfjT44os/DV599dXRowDAJI1CcRlUl2pxrnB3kcPD4eWdr1+/Xq2B+f3hD/80czCeFIhv3rw5ehQAuEjjSvHKykq13tr6aOLUa+kjzkC8BOj19Y3RVqCJWYKxQAwAzTUOxRlIl2pxwm+mXrtz570qIGfJPMW5H3fvvq+NAq7AtGAsEAPAYhbqKd7b+/xxFTjh+P79nWpJW0UG4GWqtkzNBlyNScH4P/7vfwjEALCghUJxKsDb2x+fh+BvqoCcEFzmLM798anagMWNB+N/+eJfBGIAWNBCobguleGE4CyZpxh4fhKM/+7v/lt1+/vvzwZ//ud/LhADwAKuLBQDP5z0EP/bv/2f0b3B4N///d8H3377zegeADAvoRg6ZnxQ3V/91X+utl82XRsAcDGhGDpk0iwTP/3pT2eexxgAmEwoho6YNu3aLPMYAwAXE4qhA2aZh1gwBoDmFg7Fucxz/Yp2mac4F+9YX3+7ug0sZpZAXAjGANDMQqF4c/OD6mp2uZxzJATnina5eMfR0WF1O/sAzcwTiAvBGADm1zgUJ/AmDGdO4jIv8e7uZ9U6l4DOBTxyGejsk5AMzC+Bdp5AXNSD8Ycf/r4K1wDAxRqH4qOjo2q9t/fP1QU7UhlOK0WucpdLOycor60Nr2hX9gXm8+67vx786lfvzhWIiwTj8txXX311tBUAmKRRKE4Pcaq/qQSXKvHx8XG1Xlq6Ua2jPHZ6elqtgfl9+OE/zB2Ii0WeCwB9svBAu2J/f79al+pw1AfgAQBAWzUKxWmRSJU41eK0TGQpfcMrKyvVOg4PD6v1rVu3qjUAALRR40pxqQivr/+yWmJl5XYVlhOSMyXbwcF+dT89xwAA0FaNQ3EG02VJi0RCcALx/fufVo+dnZ1WA++ybW/v82obAAC01UI9xZl67fj4m2pJ+E1bRaQ6fHDw5VPbAACgrRYeaJcqcV25ot3W1pYr2gEA0AkLhWJXtAMA4GXQOBS7oh0AAC+LxqH4ZbqiXQYLpuK9vPz0RQ4S5peWXrt0uXPnvdEzpkslPccpzyszdFwkj2Wfsn+9Kg8AwNVpFIpftivaJdSO90bPY5bBhDlGquv14+QXiWyf1HudbXks+xR5btpR9GoDAFythQfaFV29ol0CZj141g3nXP5u4lKmmkvwT7vINKn4Zsm+29sfP36N0mKys/PJ+f0nYTm/cCRAZ/9Mc1f2L8fJ/q4WCABwdRqF4pflinYJqgmfTS4uUgYQJuReVine3R22PGxsvDNYX9+obscwUN+rAm7px476/vX3lraU3M/+09ouAACYT+NKcdevaFdaEfL+EmznUdog8rnymS9zcvKwWk/6OuT4Ue+7TuW69GaPK5XjergGAGAxjUNx169oVwbHlfc8q1TE03KR0DprmC6tDtMqyiU4l69nerNzO8HdQDsAgOdroZ7irl7RLkEz4TbvvwwGnNXOznCQWyq1s362J9XgZ3uXx7eVcJzXXl1946kQXKrbqVQDAHB1rmSg3aRwWIJg26TKm6CZQDxvC0Iqtwmx+bx3774/2nq527eHLRYJ1KX3OvI+Sm/yuBKW6wPzUtUeDr57+nUAAFjMK4/OjW7PLZXL9A1Pm3ItvbJ37w4HiL1oCZrpdR5v60jYzRzFCbupel8kYbQMzJu37SLHHa8KR95LCbjDqvuD89d/s7qfY4x/3cp7SOvKZbNe1KX9Yh7zhH4AgCY2N++Nbr14jUNxwluCXumXnSYBdJYBac9b+ohnmbWhtH+MS09vfhFo+nlKoI1SbU61OoE8FeBM0VZC8UUBPcE6X/cmwXxWCdCpTNMN29tbrfqmwnTOV7c4X93ifHVL285X4/aJtAIkEJdwVkJi/tyfCmZpn8j9NgTiRSUMDwfALTX+PKnullaIBN7cL1Xi8vXKelI7CgAAz0/jUJyKZcJbQm+CcembzbaEvTLILheaaIuE9xJK60upyOb95v6kKnE+bzQJxGUGiVSKx5W5nMvXLxKM8wvHpP3LlQPbOvczAEAXNQrFCWxZlpZuPK5qllkcHjwYVj6zPWG59B13XflcN248uYz1rJ4MtPvkqa9FQm8G2+VrVx/0t7ExvJ39SyU58txsy9fWPMUAAFfnSmafiBKK6z3GJQyWQNllCfdRPudF0recqnB92rT8cpAKc7425fH6PuO9wdk/S/ZPf3HZP8/NtvQil19GAABYXKNQnECWcJiLdBSpGkf58/7LpoT9y0LxRdJOMj5bRILvwcFXj/uJ6xKU673ZkWCd7WlPAQDg6jSuFCespXpa+l4TlIfbHj4OkKVCfP369WrdVnnv9d7iSdJnnH0mBdi60rc8abq0+kC7LNl3WsjO/uW4WRKsE6QBALhajUNxQl/CZFoASjBeWxv+yT9/5s/gsrJ9ZWWlWgMAQBs1DsWpcJb5ekt/ayqbGQB2dHRYDSDL9vEWAAAAaJuFBtol7CYY12dCyBRt+ZN/WgNyMQr9rwAAtN1CofgiCcvpfS0VZAAAaLPnEooBAKBLZg7FGTiXOXObLOkxBgCAtpo5FGf+4VxdrclSpmgDAIA2mrt9IrNOZGBdBtRlMN0sS2aoAACAtpo5FGcO4gTiXLAj062lnWJ3d7e6XwbWXbQYcAcAQJvNHIoztVqmWMt0a2Xu4fQK5+IdKyuvn4ffNwe5WIf+YQAAumbu9omE4XL54YTkBOS0R6R3OAF5ff3tKiSnknxwsD96FgAAtNfcobgu7RQJyLmAx/HxN1WfcdolIi0Wudzz8vJN1WMAAFptoVBcl77hDMArg+tKOM7ME2afAACgza4sFKdVIi0Tpb+4tE6ktSItFwAA0FaNQ3FmncjAutIikXVaJlIVTpU4rRTpOU5rRdosAACgreYKxRlMlyBcBtNlYF0qwqV1ovQWp30i94VhAAC6YOZQnEpw2iIShDNwLi0RmXmizEKRyrCLdAAA0EUzh+K0S0S5ot3Kysrg9PR0sL+/XwXlaUt5LgAAtNHcPcXlinZpo5h1SdsFAAC01SuPzo1uT5Vwm8pwExsb7+gv7pClpdfOf/n5bnSPttve3hpsbt4b3aPtnK9ucb66xfnqlradr5lDMf0hFHeLHwLd4nx1i/PVLc5Xt7TtfDWekg0AAF4WQjEAAL0nFAMA0HtCMQAAvScUAwDQe0IxAAC9JxQDANB7QjEAAL0nFAMA0HtCMQAAvScUAwDQe0IxAAC9JxQDANB7QjEAAL0nFAMA0HtCMQAAvScUAwDQe0LxubOzs8HKyuuD5eWboy1Dx8cPBktLr1263Lnz3ugZ092/v1Mdpzxvff3twcHB/ujR6Y6ODuc6FvDD+/777wc/+9nfDv74xy9GW2a3yHMBWJxQfC5B8+TkZHRvfteuXRvduliOsbX10VPHSdDN9oTlaRLaNzc/GN0D2iqB9ttvvx389re/mSvcJhD/4hdvVc/98MPfV/cB+GH1PhQnkCacTrK8fOs8xH43cdnb+7zaZ2lpaXDv3u+q2xdJNThL9t3e/vjxaxwdfV0dY2fnk/P7F4fyRUM78MN4991fD9566+fV7VmDcT0Q/+hHPxp88cWfBq+++uroUQB+KL0OxQmqqd6urq6NtsyuVG4Tci+rFO/u7lbrjY13BuvrG9XtGAbqe1UleHf3s9HWp+X9JbQ3eY/AD+8Pf/inmYPxpEB88+bTbVwA/DB6G4pTeU2wTaU2wXYepQ0iQXVl5fZo68VOTh5W60nBNsePo6Ojal23t7dbVbITpNfWhGLoilmCsUAM0C69DcVlwNr9+59W61ll8F2CaqrDs4bpVIJjWkW5BOcioTvhu0loB168acFYIAZon16G4lSIE27TC5wWhnns7AwHxaV6O8sAu3hSDX62d/mifuamoR1oj0nB+D/+738IxAAt1LtQnCpv2hISiOv9vbNIxTchNmH47t33R1svd/v2sMUigTphvMj7mDSrRKZqG1akP507tAPtMh6M/+WLfxGIAVrolUfnRrdfegm0CZzpAy6zR0TCbuYoTtg9Pv5mtPVZCdRlYN68Fdwcd1JVOO+lBOUcuxwjof3OnbvV9sigwFSPmxw7MsfxPOYJ/cDl/vf//t/nYXj4/eXP/uzPBm/9958P/uI//UV1H6CvNjfvjW69eL0KxQmVs1wsI+0OBwdfju49kQtvpNc3gXqWAXbjSuCNUm1OtTqBPBXh4RRtNx/3IE+TwHzZVHBNJUBnyji6YXt7q1XfVHhWvYe4+Md//MPg5z//xegebeX/V7c4X93StvPV6ynZ5pEwnCXhtUkgjgTZMkdxqsK5X6rEpe8YeLmMD6r7q7/6z9X2y6ZrA+CH1atQnLaDEkrrS2mZSPU29ydViUvrQ5NAnL7hVF9TKR53eDh83dJ3nPcy/v6ylJaJtE/k/vOqEgNXZ9IsEz/96U9nnscYgB+OSvGMHjwYVnRv3LhRrefxZKDdJ0+1b5RBf6k+zzvoD2i3adOuzXOBDwB+GELxjNI6EZfNBpG+5VSFS+9wlIt8pFe4PF7fp8nAOaC9ZpmHWDAGaBeheEZl8FvTKdIyOG+85SFh+eDgK/3E8BKZJRAXgjFAewjF50ov8bTp2NJnnH0uC7Clb3lSz299oF2W7DtryC69xKrK0F7zBOJCMAZoB6EY4Iok0M4TiIt6MP7ww99X4RqAH5ZQDHBF3n3314Nf/erduQJxkWBcnvvqq6+OtgLwQxGKAa7Qhx/+w9yBuFjkuQAsRigGAKD3hGIAAHpPKAYAoPeEYgAAek8oBgCg94RiAAB6TygGAKD3hGIAAHpPKAYAoPeEYgAAek8oBgCg94RiAAB6TygGAKD3hGIAAHpPKAYAoPeEYgAAek8oBgCg94RiAAB6TygGAKD3hGIAAHpPKAYAoPeEYgAAek8oBgCg94RiAAB6TygGAKD3hGIAAHpPKAYAoPeEYgAAek8oBgCg94RiAAB6TygGAKD3hGIAAHpPKAYAoPeEYgAAek8oBgCg94Tic2dnZ4OVldcHy8s3R1uGjo8fDJaWXrt0uXPnvdEzprt/f6c6Tnne+vrbg4OD/dGjTzs5ORlsbn7w1HFWV98c7O3tjvYAAOCqCMXnEmoTQpu6du3a6NbFcoytrY+eOs7R0WG1PWG5LmF8dfWNZwJwtico53UAALg6vQ/FCaQJp5MsL986D7HfTVz29j6v9llaWhrcu/e76vZFUg3Okn23tz9+/BpHR19Xx9jZ+eT8/pOwvLm5Oape3z4Pwt883v/OnbvV43nPCcgAAFyNXofiBNVUXVdX10ZbZpeKbSTkXlYp3t0dVnw3Nt4ZrK9vVLdjGKjvVQF4d/ezalvCcQJvXjPBu/7aCd/lvR4dHVVrAAAW19tQXHp2U6lNsJ1HaYNIQE019zInJw+r9aTwneNHCbkJyqkKp0I8ya1bw/1PT0+rNQAAi+ttKC6D4+7f/7RazypV3LQvpII7a5hOJTimVZRLcL7Mw4fD/W7cuFGtAQBYXC9DcSrECbdpR0hldh47O8NBcWmDuKxtonhSDX62d/mifuZJ8p4z+C7vud6GAQDAYnoXilPlTbBMIJ43WKbimxCbMHz37vujrZe7fXvYYpFAXR8gl/dRepMvk3aNUt2et90DAIDpXnl0bnT7pZdAm7mB0wdcZo+IhN3MUZywe1EvbyRQl4F587Zd5LiTqsLDGSaGQfmiYycQr6//slrnuE0GBmae43nME/oBAJrY3Lw3uvXi9SoUp9J60cUy6tLucHDw5ejeE7nwRoJpAvUsA+zGlVAdpdqcanUCeVoiMkXbuATmvO9FAvG8EqAz2I9u2N7eatU3FaZzvrrF+eoW56tb2na+ej0l2zwSSrMkvDYJxJF5hsucw6kK536pEpe+47phVfrNqpL9QwViAIA+6lUoTrAsobS+lLaFVG9zf1KVuLQ+NAnE6RtO9TWV4nGHh8PXLX3HRdotsv+wav2VQAwA8BypFM/owYNhRbfJVGhPBtp98lT7Rhn0Nz6bREJ0QngCeAL6vDNkAAAwH6F4RmmdiMsCavp/UxUuvcORKm8CbtogyuP1feqD9sq0a5FgXPYdX8pMFAAALE4onlG5AEfTqm0G52UauLqE5bRG1PuJXb4ZAOCH16vZJ5hNKtHpraYbjLbuFuerW5yvbnG+usXsEwAA0DJCMQAAvScUAwDQe0IxAAC9JxQDANB7QjEAAL0nFAMA0HtCMQAAvScUAwDQe0IxAAC9JxQDANB7QjEAvfT9998Pfvazvx388Y9fjLbMbpHn0ozz1S1dPF9CMQC9lB+433777eC3v/3NXD988wP7F794q3ruhx/+vrrP8+d8dUsXz5dQDEAvvfvurwdvvfXz6vasP7jrP7B/9KMfDb744k+DV199dfQoz5Pz1S1dPF9CMQC99Yc//NPMP7gn/cC+efPm6FF+CM5Xt3TtfAnFAPTaLD+4Baz2cL66pUvnSygGoPem/eAWsNrH+eqWrpwvoRgAzk36wf0f//c/BKyWcr66pQvn65VH50a3obK09Nrg5OS70T3abnt7a7C5eW90j7ZzvtrvN7/5H4M//emP1e1XX702+P77MwGrxZyvbmnz+VIpBoCaVLT+7u/+W3U7P7D//M//XMBqMeerW9p8voRiAKhJj+O//dv/Gd0bDP793/998O2334zu0TbOV7e0+XwJxQAwMj7o56/+6j9X28cHB9EOzle3tP18CcUAcG78B3b+pPvTn/70wlHzvFjOV7d04XwJxQD03qQf2KXHcdKoeV4s56tbunK+hGIAem3aD+xC0GoP56tbunS+hGIAemuWH9iFoPXiOV/d0rXzJRQD0Evz/MAuBK0Xx/nqli6eL6EYgF7KD9x5fmAX9R/cH374++qHP8+f89UtXTxfQjEAvfTuu78e/OpX7871A7vID+7y3FdffXW0lefJ+eqWLp4voRiA3vrww3+Y+wd2schzacb56paunS+hGACA3hOKAQDoPaEYAIDeE4oBAOg9oRgAgN4TigEA6D2hGACA3hOKz52dnQ1WVl4fLC8/PR/e8fGDwdLSa5cud+68N3rGdPfv71THKc9bX397cHCwP3r0aXlPm5sfPHWc7L+3tzvaAwCAqyIUn0uoPTk5Gd2b37Vr10a3LpZjbG199NRxjo4Oq+0Jy+MmBeDsn6A8aX8AAJrrfShOwEzYnGR5+dZ5iP1u4rK393m1z9LS0uDevd9Vty+SanCW7Lu9/fHj1zg6+ro6xs7OJ+f3n4TlvKdhlXrp/Panj/dfXV2rHt/d/axaAwBwNXodihNUU70tYXMeqdhGQu5lleLd3WHFd2PjncH6+kZ1O4aB+l7VKlEPuoeHw5Ce166/twTkPCcBOqEZAICr0dtQnGCZYJtKbcLnPEobRALrysrt0daLnZw8rNaTwneOH0dHR9U6EngTtCe9dnmN+v4AACymt6G4DI5L9XUeCaxpb0honTVMpxIc0yrKJThn3ywX7Xv9+vVqfXp6Wq0BAFhcL0NxKsQJt+kFTjvCPHZ2hoPc0gZxWdtE8aQa/Gzv8vi2Eo6vXRuG33Hl/dZ7kAEAWEzvQnGqvJnVIYG43t87i1RwE2IThu/efX+09XK3bw/bIBKo673AeR+lNxkAgBenV6E4gTb9wOnVvXPn7mjr7BJiE4zz/FmrxJFj5TkJxKurbw7KvMOlp3me1wIA4Oq98ujc6PZLL33EF10soy5B9eDgy9G9J3LhjbQtZDq2WQbYjUuVOqE8SrU51epcNCRtEZmiLaG7fn9ceY0E7cumgqtLCAcAaJNMOdsWQvEEk0JxwvDwanSTw2pTR0eH1YU6MqtEGfRXrqx3fPxNta4roTiBuEm1exYJ0G36R8p0zle3OF/d4nx1i/PVLW07X71qn6hfCKO+lPCZ6m3uT6oSJ7xGkwpx2iRy4hNox5U5iUvfcSSUp2I8KcDv7w+3LS8vV2sAABbX2ynZ5vXgwXCA3I0bN6r1PJ4MtPvkqaBbBv2l+lwf9Ff2T0W4vn8q3elLzv5NwjkAAJMJxTMqU6AlkE6T4JqqcOkdjnKRj1R/y+P1fcbnSk5bRI6TY9b3LwE5V8YDAODqCMUzSqCNy0LxRTI4b3xgXMLywcFXVbvEuL29f35myrjslwuGPK9eYgCAvurVQDtmk6p0eqvpBuerW5yvbnG+usX56pa2nS+VYgAAek8oBgCg94RiAAB6TygGAKD3hGIAAHrP7BMAAPSeSjEAAL0nFAMA0HtCMQAAvScUAwDQe0IxAAC9JxQDANB7QjEAAL0nFFPZ29sdrK6+OVhaeu3xsrX10eDs7Gy0B211dHRYna/793dGW2ibnJvx/1+bmx/4/9VS498Pc9v/r+5YX3+7Om/Hxw9GW2iT5eWbj/9vjS/JHS+SUEz1AyA/oMe/gQx/kL8xukcbnZycVOeO9rpz573qG/34/69h8HqjOoe0R77vjX8/zO2cQ//X2i/nL4UC2inf79pcDBCKGezsfFKtV1fXzv/Bflct9+9/ev5b21L1Dzg/vGmfg4P9wfr6L4WqFss5ynLt2rXB9vbHj/9/HRx8OVhevlWduxddGeGJ/LAu3w/v3fvd4/OVcxf5Xqj62F4Jw/4/tVv5heXOnbuP/3/Vl/y/e5GE4p7LP9D8YF5ZuV0F4SIB+e7d96vbh4d+626TnK9UH7Pkh3jCFe1U/u/k/9L6+kZ1O3LOtre3q9uqWu2R0Jv/UzlX+aFd5H45f0dHR9Wadsn3xVTy83/L98T2evjwYbW+ceNGtW4bobjnjo+Pq/Xt27erdV2Ccfih3S6pVKX6mF9kDg6+qir6tFOpDtcDVpEf3KkgJ4S1+c+JfVKqV6UyPEnOGe1TigT14g7tUzLH8vJytW4bobjnTk9Pq/Wkb/TZ5od2+yRM5c/ve3ufC8QdlspW/l/lHApa7ZY+1VSRc67qFX/aofSA50/vvie2W85Tvt8lHK+svH5+voYD7PJLTb4nvmhCcc+Vf4QX/VBeWhr+iePkZPgnD168fNP358HuK72PGxvvVGvap8xAkXNV/jJDu+SXlSz1FhfaqRQCsuQXmXoIzl8/2zDwWCgG+IElZJUWmEmtFbRDvRiQNrJM9dWGahZDOScJV/l/NK3lhXbI+YoUdvLXzvoAu3wfTFhOxfhFEooBfkAJxPlzfH6QpwWG9jo+/ubxD+1UIfOn3xf9Q5uhUm1MwNJH3A35P5T/S0dHXz/z187S+pL/Y1leFKG450r/Vb7BTFIqJaWNAmguP8QF4m5KJbL80C4VL16ctEykap9l/GIQJVSV9peLfr7RLiUov8i/xgjFPXf9+vVqPe2bRhlwBzSTH9L5AZ0f5AJxd5Uf2kIWvJyE4p4r06Ls7+9X67r0POabv0Fd0NxwAMmbVTDOnwgF4vYa/jn+4kumlwqk74kvXpk+b9JSzk/pW1XUaYdZ/n/lXKVw8KIIxT2Xf3zlT4L1Xrn8IC+j4yfNYQxcLn8GzA+CSN+jQXXtVr7X5ap2+R5YpDhQBtmV75nAfMr/r93dzx7/glmUKdlyfYQX+UvMK4/OjW7TU/mtrQTgcfnmn6Z42ivfTPIDPFVIoatdyrm5TLnsMy9eGQg5Sb4fZlo2lcd2K3+Z8f+qfVIkSBvZJDlX+Uvai/z/pVJMFaQSqMa/eWSkqHk5oTkDsron3wszqK7+/TA/pPN9MgUCgRiay/+t8bxR/n/ll5gX/f9LpRgAgN5TKQYAoPeEYgAAek8oBgCg94RiAAB6TygGAKD3hGIAAHpPKAYAoPeEYgAAek8oBgCg94RiAAB6TygGAKD3hGIAAHpPKAYAoPeEYgAAek8oBgCg94RiAAB6TygGAKD3hGIAAHpPKAYAoPeEYgAAek8oBgCg94RiAAB6TygGAKD3hGIAAHrvlUfnRrcBeM7Ozs4Gy8s3R/cud+3atcHe3ueD1dU3z593a3Bw8OXokXba3Pzg/D3uD46PvxltmU++Nvka5fn57AA/FJViAK7M0dFhFd4BukalGOAFK9XjVEabVljb4Pj4QVXR3t7+eLC+vjHaOh+VYuBFUSkG4EocHR1V65WV29UaoEuEYoCWSwV2aem1qgpb3L+/U23LOj28eSz3y7ZIxfXOnfceb19ff7t6rXEnJydVL3DZL0ueN2nfaQ4PD8+fu1Qtl8lr5/3U31ve70XymeqfMUvul88a5bPu7e2OtjxtZeX1x5XoyHuof32y5H3k6wn0j1AM0GEPHgyDXT3Abm19VAXD8YCXft/x8Jnnra6+8UyQLEF71oA4bHl4MNjYeGe05WLltfN+ivLeJsn2fKb6Z4zcz/YSjNfW1qr1/v6z7zmvn/Cffue0ZeT2pACc/fL1rL83oB+EYoAOGwbMtfOQ91213Llzt9qeym9ktopszzoV3ITXehDc3NystuU10sdbXufevd9Vjyd0ziKvmddZXl4ebblYec36+75//9Pz559Wr1GXsJ6AmjB7dPT14/3zXkubRgnBeb18xhKA68o+JTjv7Hzy+HOX18yS+zEpWAMvN6EYoMMSFhMoi3ql9t69e9XjkXUJkSV4JjwOK8Vr1WvUB7YlXGewXMLlRe0IdalY5/mX9RPntUrFtv6+8x5KEK8bvocnob7IsTY2nh3MVz7/7u5n1brIZ81zxgcAjofwvKccL4MFgX4RigE6bGVlZXRrqATbSQG1PFYcHx9X61R56321ZSlh+OHDh9V6moTOUmWdpoTQUrGty/PH32NdaZfIkkp42hzGJfTmNerV8Ly3BPH61+P27eHtPFY+b16z3qMM9ItQDNBTp6eno1uLKaHz1q3L5yducswE1YTWMrAuy0XV6wTihOu8nxKMx1snIvukGlyvPuc1E7jrvxAA/SEUA/TU9evXq3VpUbhomdTWUFcqzpe1TkQ55qxKUI28z7R1ZEmgrbdf1JW2ihKGh5XwpWcq2Xm99ClnyWvWH0/VeHxgH/ByE4oBeqq0KqTSu4hMxZZAXK+6XqTsM2kgWxmsV5fXjoTgLAnoWRJo08ccGaBXl37lLPlcCdV5zWmBPe8pr1n6iUsfdqrNQH8IxQA9lWCZQJjwl+nJ6pXRBNQyL3C9P3dcnpvwWXp0L5NqbI6ZY9Wnh8sxSkV4knqIznPST1z6f8eDdKRanO3lNcd7mMtnGz9m3sfJybCHepaQD7w8hGKAHiuzTiTYlqCYpcx9nBA73nZQl+fFLFOxFWVmhzw3F9Mox7t27frj6nVRwmz2Le8tz5kW1KME/gTjrMcrxZmZI0q/clnyPvKcPL9UjIF+EIoBeizB7+DgqyoE1mV7aSmYJi0Mk0LnNNk3U6zVn5Pbe3ufj+49kUA+PiAu0gOc/UvwPRqF87oSaieF+vIexh8rn7sEd6A/Xnl0bnQbAF4auazzcBaKL1V9gUupFAPw0kmvcAJxKsECMTALlWIAXhrpN64PvFMlBmalUgzAS2Np6cZovVT1QwvEwKxUigEA6D2VYgAAek8oBgCg94RiAAB6TygGAKD3hGIAAHpPKAYAoPeEYgAAek8oBgCg94RiAAB6TygGAKD3hGIAAHpPKAYAoPeEYgAAek8oBgCg5waD/x8NHpnwCKejQgAAAABJRU5ErkJggg==\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"547\"/></span></span></span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">[Source: © International Baccalaureate Organization 2019]</span></span></span></p>\n</div><div class=\"specification\">\n<p>The student hypothesized that sulfuric acid would cause a larger mass loss than nitric acid.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Draw a best-fit line on the graph.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Determine the initial rate of reaction of limestone with nitric acid from the graph.</span></p>\n<p><span style=\"background-color: #ffffff;\">Show your working on the graph and include the units of the initial rate.</span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Explain why the rate of reaction of limestone with nitric acid decreases and reaches zero over the period of five days.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Suggest a source of error in the procedure, assuming no human errors occurred and the balance was accurate.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Justify this hypothesis.</span></span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The student obtained the following total mass losses.</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><img height=\"98\" src=\"data:image/png;base64,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\" width=\"546\"/></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">She concluded that nitric acid caused more mass loss than sulfuric acid, which did not support her hypothesis.</span></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Suggest an explanation for the data, assuming that no errors were made by the student.</span></span></span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">best-fit smooth curve ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Do <strong>not</strong> accept a series of connected lines that pass through all points <strong>OR</strong> any straight line representation. </span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">tangent drawn at time zero ✔<br/>g day<sup>−1</sup> ✔<br/>0.16 ✔</span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Accept other reasonable units for initial rate eg, mol dm<sup>−3</sup> s<sup>−1</sup>, mol dm<sup>−3</sup> min<sup>−1</sup>, g s<sup>−1</sup> <strong>OR</strong> g min<sup>−1</sup>.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">M3 can only be awarded if the value corresponds to the correct unit given in M2.<br/>Accept values for the initial rate for M3 in the range: 0.13 − 0.20 g day<sup>−1</sup> <strong>OR</strong> 1.5 × 10<sup>−6</sup> g s<sup>−1</sup> − 2.3 × 10<sup>−6</sup> g s<sup>−1</sup> <strong>OR</strong> 7.5 × 10<sup>−8</sup> − 1.2 × 10<sup>−7</sup> mol dm<sup>−3</sup> s<sup>−1</sup> <strong>OR </strong>4.5 × 10<sup>−6</sup> − 6.9 × 10<sup>−6</sup> mol dm<sup>−3</sup> min<sup>−1</sup> <strong>OR</strong> 9.0 × 10<sup>−5</sup> − 1.4 × 10<sup>−4</sup> g min<sup>−1</sup> <strong>OR </strong>a range based on any other reasonable unit for rate.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Ignore any negative rate value.<br/>Award<strong> [2 max]</strong> for answers such as 0.12/0.11 g day<sup>−1</sup>, incorrectly obtained by using the first two points on the graph (the average rate between t = 0 and 1 day).<br/>Award<strong> [1 max]</strong> for correctly calculating any other average rate.</span></em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">acid used up<br/><strong>OR</strong><br/>acid is the limiting reactant ✔</span></p>\n<p><span style=\"background-color: #ffffff;\">concentration of acid decreases<br/><strong>OR</strong><br/>less frequent collisions ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Award<strong> [1 max]</strong> for \"surface area decreases\" if the idea that CaCO<sub>3</sub> is used up/acts as the limiting reactant” is conveyed for M1. </span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Do <strong>not</strong> accept “reaction reaches equilibrium” for M2.</span></em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">surface area not uniform<br/></span><span style=\"background-color: #ffffff;\"><em>NOTE: Accept “acids impure.</em><br/></span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em><br/>limestone pieces do not have same composition/source<br/><em>NOTE: Accept “«limestone» contains impurities”.</em></span><span style=\"background-color: #ffffff;\"><br/></span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em><br/>limestone absorbed water «which increased mass»</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em><br/>acid removed from solution when limestone removed<br/><em>NOTE: Accept “loss of limestone when dried\" <strong>OR</strong> \"loss of limestone due to crumbling when removed from beaker”.</em><br/></span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em><br/>«some» calcium sulfate deposited on limestone lost</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em><br/>pieces of paper towel may have stuck to limestone</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em><br/>beakers not covered/evaporation</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em><br/>temperature was not controlled ✔</span></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">sulfuric acid is diprotic/contains two H<sup>+</sup> «while nitric acid contains one H<sup>+</sup>»/releases more H<sup>+</sup> «so reacts with more limestone» <br/><em><strong>OR</strong> <br/></em>higher concentration of protons/H<sup>+</sup> ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\"> NOTE: Ignore any reference to the relative strengths of sulfuric acid and nitric acid. <br/>Accept “sulfuric acid has two hydrogens «whereas nitric has one»”. <br/>Accept \"dibasic\" for \"diprotic\".</span></em></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">calcium sulfate remained/deposited on limestone «in sulfuric acid»<br/><em><strong>OR</strong></em><br/>reaction prevented/stopped by slightly soluble/deposited/layer of calcium sulfate ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\"> NOTE: Answer must refer to calcium sulfate.</span></em></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
    "topics": [
      "empty-topic",
      "reactivity-2-how-much-how-fast-and-how-far",
      "tools"
    ],
    "subtopics": [
      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
      "tool-1-experimental-techniques",
      "tool-3-mathematics"
    ]
  },
  {
    "question_id": "19N.3.SL.TZ0.2",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Ethanol was electrolysed at different voltages. The products at the anode, ethanoic acid, ethanal and carbon dioxide, were collected and analysed.</span></p>\n<p><span style=\"background-color: #ffffff;\">The percentages of products obtained using three different catalysts mounted on a carbon anode, platinum (Pt/C), platinum and ruthenium alloy (PtRu/C) and platinum and tin alloy (PtSn/C) are shown.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"413\" 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\" style=\"display: block; margin-left: auto; margin-right: auto;\" width=\"799\"/></span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Chemical yields of ethanoic acid, ethanal and carbon dioxide as a function of voltage for<br/>oxidation of 0.100 mol dm<sup>−3</sup> ethanol at Pt/C, PtRu/C and PtSn/C anodes at 80°C.</span></span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><br/>[Source: Product Distributions and Efficiencies for Ethanol Oxidation in a Proton Exchange Membrane Electrolysis Cell, Rakan M. Altarawneh and Peter G. Pickup, <em>Journal of the Electrochemical Society</em>, 2017, volume <strong>164</strong>, issue 7, http://jes.ecsdl.org/. Distributed under the terms of the Creative Commons Attribution 4.0 License (CC BY, http://creativecommons.org/licenses/by/4.0/)]</span></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Describe the effect of increasing the voltage on the chemical yield of:</span></p>\n<p><span style=\"background-color: #ffffff;\">Ethanal using Pt/C:</span></p>\n<p><span style=\"background-color: #ffffff;\">Carbon dioxide using PtRu/C:</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Determine the change in the average oxidation state of carbon. </span></p>\n<p><span style=\"background-color: #ffffff;\">From ethanol to ethanal:</span></p>\n<p><span style=\"background-color: #ffffff;\">From ethanol to carbon dioxide:</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">List the three products at the anode from the least to the most oxidized.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Deduce, giving your reason, which catalyst is most effective at fully oxidizing ethanol.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Ethanal using Pt/C:</em> <br/>decreases ✔</span></p>\n<p><span style=\"background-color: #ffffff;\"><em>Carbon dioxide using PtRu/C</em>: <br/>«generally» increases <em><strong>AND</strong> </em>then decreases ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\"> NOTE: Accept “no clear trend/pattern” <strong>OR</strong> “increases and decreases” <strong>OR</strong> “increases, reaches a plateau and «then» decreases” for M2.</span></em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>From ethanol to ethanal:</em><br/>−2 to −1<br/><em><strong>OR</strong></em><br/>+1/increases by 1 ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Do <strong>not</strong> accept “2− to 1−”.</span></em></p>\n<p><span style=\"background-color: #ffffff;\"><em>From ethanol to carbon dioxide:</em><br/>−2 to +4<br/><em><strong>OR</strong></em><br/>+6/increases by 6 ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Do <strong>not</strong> accept “2− to 4+”.<br/></span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Do <strong>not</strong> penalize incorrect notation twice.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Penalize incorrect oxidation state value of carbon in ethanol once only.</span></em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">ethanal &lt; ethanoic acid &lt; carbon dioxide ✔</span></p>\n<p><span style=\"background-color: #ffffff;\"><em>NOTE: Accept formulas.</em><br/><em>No ECF from 2aii calculations.</em></span></p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Pt/platinum/PtC <em><strong>AND</strong> </em>highest yield of CO<sub>2</sub> «at all voltages» ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: ECF from 2aiii.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div>",
    "topics": [
      "empty-topic",
      "reactivity-1-what-drives-chemical-reactions",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "reactivity-1-3-energy-from-fuels",
      "structure-3-1-the-periodic-table-classification-of-elements"
    ]
  },
  {
    "question_id": "19N.2.HL.TZ0.4",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">A molecule of citric acid, C<sub>6</sub>H<sub>8</sub>O<sub>7</sub>, is shown.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"123\" src=\"data:image/png;base64,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\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"215\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The equation for the first dissociation of citric acid in water is</span></span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">C<sub>6</sub>H<sub>8</sub>O<sub>7</sub> (aq) + H<sub>2</sub>O (l) <span class=\"mjpage\"><math alttext=\" \\rightleftharpoons \" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mo stretchy=\"false\">⇌<!-- ⇌ --></mo>\n</math></span> C<sub>6</sub>H<sub>7</sub>O<sub>7</sub><sup>−</sup> (aq) + H<sub>3</sub>O<sup>+</sup> (aq)</span></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Identify a conjugate acid–base pair in the equation.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The value of <em>K</em><sub>a</sub> at 298 K for the first dissociation is 5.01 × 10<sup>−4</sup>.</span></p>\n<p><span style=\"background-color: #ffffff;\">State, giving a reason, the strength of citric acid.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The dissociation of citric acid is an endothermic process. State the effect on the hydrogen ion concentration, [H<sup>+</sup>], and on K<sub>a</sub>, of increasing the temperature.</span></p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Calculate the standard Gibbs free energy change, <math alttext=\"\\Delta {G^\\theta }\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi mathvariant=\"normal\">Δ</mi><msup><mi>G</mi><mtext>θ</mtext></msup></math>, in kJ mol<sup>−1</sup>, for the first dissociation of citric acid at 298 K, using section 1 of the data booklet.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Comment on the spontaneity of the reaction at 298 K.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Outline <strong>two</strong> laboratory methods of distinguishing between solutions of citric acid and hydrochloric acid of equal concentration, stating the expected observations.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">C<sub>6</sub>H<sub>8</sub>O<sub>7</sub> <em><strong>AND</strong> </em>C<sub>6</sub>H<sub>7</sub>O<sub>7</sub><sup>−</sup><br/><em><strong>OR</strong></em><br/>H<sub>2</sub>O <em><strong>AND</strong> </em>H<sub>3</sub>O<sup>+</sup> ✔</span></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">weak acid <em><strong>AND</strong> </em>partially dissociated<br/><em><strong>OR</strong></em><br/>weak acid <em><strong>AND</strong> </em>equilibrium lies to left<br/><em><strong>OR</strong></em><br/>weak acid <em><strong>AND</strong> K</em><sub>a</sub> &lt; 1 ✔</span></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAARUAAABNCAYAAACIRPDMAAAQt0lEQVR4Ae1dz4sjxxXuP2AvOfbBuQwGH+Zi9mTIQT5YBBycXAyJDyIZMCbsXWYONhtICI7MQMhCiEnDYAgYliZLIGQZrECWJfZgxTisnUEmMfZ60MHL4gxiWSZjzRequl9VdelJav1odbf0BmbV3ap69ep7X31V9bpnO4D8CAKCgCCwQgSCFdoSU4KAICAIQERFSCAICAIrRcCIShAEkF/BQDggHJiXA74iZUTF/1LOtw8BRSj5EQTyIsDxxTCI+zKvYSm3OQgIDzYnluvoCccXEZV1IF+jNjiS1Mh9cXXNCHB8EVFZcxCq3hxHkqr7LP6VhwDHFxGV8uJRyZY5klTSUXGqEghwfBFRqURoquMER5LqeCeeVA0Bji8iKlWLUsn+cCQp2SVpvsIIcHwRUalwwMpwjSNJGX5Im/VAgOOLiEo9Yrc2LzmSrK1xaah2CHB8EVGpXRgBDGI8+8Of4aIA3zmSFNCMmFwHAgXyhNzn+LK8qAxitKY+4t9ApzdMfThDP95Hg8o3I/RHAIYniNvN9M8EQjSjE6jLq/kZYdjvInrtEL0iRmFuJ+8jbu3YP4XY6aB3cYFB/Iq+ttPpeSJB3+2gFd/PtjKI0Wz9ypa/6KGz4zxe3ooxyNbIfcaRJHfliQWpL46PxAH61HikBlg+qDjGaDfCFMMXEfUfT2xx/i/O0O9GeC360OI6v5EV1Rii12kgCPyxMMLw5BCtMMExbB3iZDhlpPg8WZF3rhmOL+sVFV+AtKj4hPOBdLuwwDG16ZJ2ATPLVxFRUQSc+GviM4kPHn7BKkXFtjku7stHfn4L1NeraHcfpNVdQQnR2D/CYIqe6Er1F5VXEA+mLwUueh3sKGIZAqmukyoHKCSglRMVd+U2jcz0XbpSuejh5XSGyg7Mb+N7b/5Fc8jgW+WVykzfJvDBrMZc/NLxtvQHYV0QB+f1b6yvcwhKDp7M68608gWvVKaJig2aHRBqsPwtuyXQMxnZOcegF6PT2k1ntybaURf9zHIv3do4W6dGO0K3f5bgQILizJDThGs06CHutBBS+UYbh72BsxWz/djpHOGTo4N0KRqi0X4bvcH5FPxp9nEHhWtv9van3+9D/979jc6p/Cs9f/jwoW63/qJCGLkrmlcQf/DO+BabxGk0QC/umC1B0Ggj6vZBG+4kIMnWxm6dXC7ZGFhuujHyQ+rzkos99aOBTreHI8OpJtqHx7lWGElKQY2Fc2fLs4vWwd2Z9WfxxO/RMuc1EpVzDHsHNvdCgzwIEO7FOE2XfaPTGHvc7B3uo3s20glNP98zUVSGx+iY/bpL6l3sxZ+nwsIR0JYN212kcsbEySGayTFZe+N+0Xc5cippa9snKl+j13me2VK5MTvHaXzNThQul3S8CGcbxyCYJCqjibwMwmuIT2lSoVi7NunY3dIwNAFg4rhzHfHdG1YwSUj5auNX67/9IdC8TwcIC5ZKUhIGzHJ39DniPbVCaWK/e5oM6OE9RHrV8jw6va8BPEC3fVUTyiSsTD0nL0OrlcyWi9qmz8foRy+mtm7gWK84nKQyiRQcAoZ7iE6UhDikndoGEc0lrGPPIbudMRWWGyYqbD/dPjJ8UGEa2xIAZlJpXEdXx8zZJjQO0FOr2rMu2nri2UUruqdXMKaeycvYOIyLO3EEwOgEUVMlip0Vg5NUtpMKxTrAODdnbbGsL1keBAgMDx2fph2KqDhgGyJ4AqUJmQqGCfAM5c8jKsaWO+BVtIgc1IYNuCVQcotXr4jWJSoAvvzyyzE6GdF2hHys0IwL3HJ2RpUcX1vcxgaKjukiojLCWXefXYEkbSSJ3FE/QlO1MXVAWv+miYqx5ceZOGba8HmjIMrXhptjTPrRxP7RbbylxcyZLHOgropwPMlZNVcxji8rvPtDuZDJvhjSZ4LCzEwUJHZWS8WHmbnYlslWpk2vpLHl94F8I9JPIEaeNoxAucI1wZ52j76jtj2fmVODb5VFZaZvhLkzyai+mhgRfoQPN/Goa0k5g8m0+Occ8MaW3wfjG/GHRIV81R2Y8viAG0yqq4SwhYNjldNzBNQIl1unvOP6iIpZqVCQGNDM6oJWEUwZdSnPgDe2XBKoyhRgasMSOTOj5WnD2HLbmGBPd4W+E1FJ4KBncQg/Z6D5g1xXSP4xq4upg5Gw9oTMsaMOjS1foCj+pg3iDfmqaudrw26xiHOpEybn5+SLnK2XGtxhi7bunuMFntZHVMwgt/fjx/fBTE4FNnFntidjswiHsFPPBGZ6TkVEhcNx0jU7oIIpApDUzrtScQa5yb05+S16sNJMUDanAjNA7cCduApxu2Tq7dq7MM7ANpybewJxGjH++hOqzfsFlC8y1UhgbX/MVwUfFCwqk5ahdqY1gcsoPUeiyVn2XHd/AkrmusvmxL+MGDiAjwZH2J/j7k/GDs1UmX45xvXhvLMXDUSLn2/RPzf4zhy4fk17zpHEfrvoEfVlEkfUdRpEHB/cOLqzv50MlN/215nN3UR6pkwAd3Aa7HQZtw23z+cYdK+zdyX5uz+uHYtBhjuu+WmrIfWduduZioe6nX7rJiLzSEV+rnjNLnzK8WWFORU3qO6x7agJXGbwTSAR/OcBdtHq3J7xnIpaAnYQZ54tOcfgmG7LhWh0jr1nGCye8z2n4jxXIqJiQWSP7ICyA9/liDpeRFTUSPOeUwlb6BzNek5FcSnOPlc0GuD4gJ5Rcialsf74vJzxnEquxweoEVpxBAhopUVf6U+7Og+av8c/3lWJaiWgn+FrnbS2Yy1TrcCTYkSlQIc3yzS3UlltD41oV26lstp+irUEAXd1Hb7Uwkvh/HeHlsVSRGVZBJeqT6KSztCZ1dpShp07I6ltEZUlAZXqeREQUcmLVCHlRFQKgVWMloqAiEqp8NejcY4k9fBcvCwDAY4vyydqy+iJtFkYAhxJCmtMDNceAY4vIiq1D+tqO8CRZLUtiLVNQoDji4jKJkV4BX3hSLICs2JiQxHg+CKisqHBXrRbHEkWtSX1Nh8Bji8iKpsf97l6yJFkLgNSeKsQ4PgiorJVFJjdWY4ks2tJiW1FgOOLiMq2smFCvzmSTCgqlwUB/fdWPgwiKj4iW34uorLlBJiz+xxfRFTmBHHTi3Mk2fQ+S/8WR4DjS0ZUVAH5FQyEA8KBeTjgS1JGVPwv5Xz7EFBkkh9BIC8CHF8Mg7gv8xqWcpuDgPBgc2K5jp5wfBFRWQfyNWqDI0mN3BdX14wAxxcRlTUHoerNcSSpus/iX3kIcHwRUSkvHpVsmSNJJR0VpyqBAMcXEZVKhKY6TnAkqY534knVEOD4IqJStSiV7A9HkpJdkuYrjADHFxGVCgesDNc4kpThh7RZDwQ4voio1CN2qZeXuBg+wP1P/43B41EhnnMkKaQhMbpiBIrnBucwx5eCRYXeY5K8LJtzSq7lReACX93p4IWdKwiC5/Dz9x7mrThXOY4kcxnIXVi4kRuqmQXXww3ODY4vBYsK54ZcWwSBy4fv4tWnlKA8gec67+PschErs+twJJldS0qUicC6uMH1keOLiAqHVNWuXX6FO68/m/xd1jNv4L2zbwrzkCNJYY2J4eURWCM3OGc5vhQsKt4SV798+ira8R0cdegVk7v2ZdfG6zP0jw7QCtM/7Mq8yjJ59WPYuo5ftnb1QLMvxvbqNdo4zLwClXlNZuC/TnWEYf82OqntIOBea5mjnWHf6aN6by/ji+nvtINLPP74d3jhisLiWbx+5ysUtEjRTnAkmebd4t953EAa1/ZNHDuxD1s3cDw4d5rx4+PGrwrc8P1ron14jIGbAqspN5wgmEOOLyWISoAgbOHgeIARRhieHKKVeV3jOU7jawjDPUQnZ4B6p7J+KTa90Z7eJ9vEfvdUWcBgMNTldL3GPuK+qke23ffiJi/0DluHOBmqKCsCxGg3dtCMTqDjroXPecH36BTd/abzbtvUv6ntpOTei3GqjVIfFsgtXX6B+CdPIQiu4Mmf/gmDIhUFYP/THcOglR7wohIokT+4mwzC4T1EStyd9wonLynfRSu6p9+JTa/+TCaWsrlBL1Fvoh2fJO/s1n246rzDu77c4MJfEVHx3/eaEoGIMzpB1HQG+VhP0vLhPrpnjvzTKqj7wKnxGP3oRUtKtozbvk90xxQdsja4dvx+koF5Pi/xqPcmnlH/JcWVlxD1H81TeaGyHEkWMjSzko+1Gweq7JfxcKZi5rNkbpjVVhdqWqOfUT9CM0gnFM2fenKD+uN+cnwpYaXiA5olUxIAWpW47tNxtnxy1ScfleWvjwY93IpjxPFNRO1mkqsgURseo9MI9XYliv+Mnrf0PuvuIySCUDPw20lWREHQRDu6iVv+FszUcw4uH2HQO8If/9rHkFYjZpXyLTzzi78Xlpx1vCh/pUJx0E55uOoJJ4Td7rqeq+MyuQFgkmBkrteXGz7a6nwLRGXSf65D244znER7CHWe5C3EcYxbvY9w1L5qVzM67dLDrZsdm9NptBF1+xga8ZjVTpq7ufUHJzejBKaLvt52jYfnm09+i+/o/yTrafw4+ieGl5f4Xz/C91Uu5coe3vnCzSuM11/VFY4kq7KdteMJRh5BWEpUZsVsWW6QqExqx5lMRwP0asiNbPySM44vFV2pOAEY68mU2cjfEnl1k1WQm2NRBTh7tqJa1cQ6qayE6RH0SmVGO7Z2eqRIFCuRmtKvy//i4+hlPKmFRSVkP8UHne/qXMpTr76Lh7R6GTO+2gscSVbbAllbXFTcHAtZSz65WKbtzIjZ8tx4nK5Upq2ys97qsxpxg/G+HisV5M2pZJbJNEv4AXUJdcELQjr7TSaqZ5vNqbjtOHmeTBQSwk9eugO4uI/brzaS7djO07iqH3R7Hr/+SCWi1/NTaVFBzpxKWdyYkFNJtkU+N9141oMbrsd0zPGlcisVdbcne/cHSDL8lLzlZiPVxXSv6t6V0Xd2rmIv/lzf2aE7B3QO99aeJuIIw94BGubulLKb3rkJryE+VVuQ2e1A52Wu2rsYejd0hP2G9YWC4n9enr2PznNPJMISBLjyg7fxn0k65VdewTlHkhWYZUwssFJROJ7G2Avt3R9k7s6VzY2UPyqXZu7+nCBuNxHSncAac4MJYk1WKtpz7zkQ9ZxK3Evv9U8ijqrI1DtSuRD6Ocfg+IbNlWi7xzg52kdolsdn6HcjtFWyNv2PwMPWAY70bWqyM6sddau6a5PAyk7mWRuyw31+g7P33kju+AQ7+NE7nxX6XIrvQdVFJXkMwH2OSD2nEqcJ9Spww39OxX2ORqFdX274XFHnHF8KXqlwbsi1mQioO0GffIhe71M8uFhTMiV1iiPJTH+lwPoQKJEbXCc5voiocEht8TWOJFsMh3R9BgIcX0RUZoC2bV9zJNk2DKS/+RHg+CKikh+/rSjJkWQrOi6dXAgBji8iKgtBubmVOJJsbm+lZ8siwPFFRGVZVDesPkeSDeuidGeFCHB8EVFZIcCbYIojySb0S/pQDAIcX0RUisG6tlY5ktS2M+J44QhwfBFRKRz2ejXAkaRePRBv14kAxxcRlXVGoAZtcSSpgdviYkkIcHwRUSkpGFVtliNJVX0Vv8pHgOOLiEr5camUBxxJKuWgOFMpBDi+iKhUKkTlO8ORpHyvxIOqIsDxRUSlqtEqyS+OJCW5Is3WAAGOLxlRUQXkVzAQDggH5uGAr31GVPwv5FwQEAQEgUUQ+D8i+OmdYPSBXAAAAABJRU5ErkJggg==\"/></p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">«</span><span class=\"mjpage\"><math alttext=\"\\Delta {G^\\theta }\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi mathvariant=\"normal\">Δ</mi><msup><mi>G</mi><mtext>θ</mtext></msup></math></span> = −<em>RT</em> ln <em>K</em> = −8.31 J K<sup>–1</sup> mol<sup>–1</sup> × 298 K × ln(5.01 × 10<sup>–4</sup>) ÷ 1000 =» 18.8 «kJ mol<sup>–1</sup>» ✔</span></p>\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">non-spontaneous <em><strong>AND</strong></em> <span class=\"mjpage\"><math alttext=\"\\Delta {G^\\theta }\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi mathvariant=\"normal\">Δ</mi><msup><mi>G</mi><mtext>θ</mtext></msup></math></span> positive ✔</span></p>\n<div class=\"question_part_label\">a(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Any two of:</em><br/></span></p>\n<p><span style=\"background-color: #ffffff;\">«electrical» conductivity <em><strong>AND</strong> </em>HCl greater ✔<br/></span></p>\n<p><span style=\"background-color: #ffffff;\">pH <em><strong>AND</strong> </em>citric acid higher ✔<br/></span></p>\n<p><span style=\"background-color: #ffffff;\">titrate with strong base <em><strong>AND</strong> </em>pH at equivalence higher for citric acid ✔<br/></span></p>\n<p><span style=\"background-color: #ffffff;\">add reactive metal/carbonate/hydrogen carbonate <em><strong>AND</strong> </em>stronger effervescence/faster reaction with HCl ✔<br/></span></p>\n<p><span style=\"background-color: #ffffff;\">titration <em><strong>AND</strong> </em>volume of alkali for complete neutralisation greater for citric acid ✔<br/></span></p>\n<p><span style=\"background-color: #ffffff;\">titrate with strong base <em><strong>AND</strong> </em>more than one equivalence point for complete neutralisation of citric acid ✔<br/></span></p>\n<p><span style=\"background-color: #ffffff;\">titrate with strong base <em><strong>AND</strong> </em>buffer zone with citric acid ✔<br/></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Accept “add universal indicator </span></em><span style=\"background-color: #ffffff;\"><strong>AND</strong></span> <em><span style=\"background-color: #ffffff;\">HCl more red/pink” for M2. </span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept any acid reaction </span></em><span style=\"background-color: #ffffff;\"><strong>AND</strong></span> <em><span style=\"background-color: #ffffff;\">HCl greater rise in temperature. </span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept specific examples throughout. </span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Do <strong>not</strong> accept “smell” or “taste”.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div>",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions",
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "tools"
    ],
    "subtopics": [
      "reactivity-1-4-entropy-and-spontaneity",
      "reactivity-2-3-how-far-the-extent-of-chemical-change",
      "reactivity-3-1-proton-transfer-reactions",
      "tool-2-technology"
    ]
  },
  {
    "question_id": "19N.2.HL.TZ0.5",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Another common acid found in food is ethanoic acid.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">A sample of ethanoic acid was titrated with sodium hydroxide solution, and the following pH curve obtained.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img src=\"data:image/png;base64,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\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Annotate the graph to show the buffer region and the volume of sodium hydroxide at the equivalence point.</span></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Identify the most suitable indicator for the titration using section 22 of the data booklet.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Describe, using a suitable equation, how the buffer solution formed during the titration resists pH changes when a small amount of acid is added.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p><span style=\"background-color: #ffffff;\">buffer region on graph ✔<br/>equivalence point/V<sub>eq</sub> on graph ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\"> NOTE: Construction lines not required.</span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">phenolphthalein ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Accept phenol red.</span></em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em><strong>ALTERNATIVE 1:</strong></em><br/>H<sup>+</sup> (aq) + CH<sub>3</sub>COO<sup>–</sup> (aq) → CH<sub>3</sub>COOH (aq) ✔</span></p>\n<p><span style=\"background-color: #ffffff;\">added acid neutralised by ethanoate ions<br/><em><strong>OR</strong></em><br/>«weak» CH<sub>3</sub>COOH (aq)/ethanoic acid replaces H<sup>+</sup> (aq)<br/><em><strong>OR</strong></em><br/>CH<sub>3</sub>COOH/CH<sub>3</sub>COO<sup>–</sup> ratio virtually/mostly unchanged ✔</span></p>\n<p><span style=\"background-color: #ffffff;\"><br/><em><strong>ALTERNATIVE 2:</strong></em><br/>CH<sub>3</sub>COOH (aq) <span class=\"mjpage\"><math alttext=\" \\rightleftharpoons \" xmlns=\"http://www.w3.org/1998/Math/MathML\"> <mo stretchy=\"false\">⇌</mo> </math></span> H<sup>+</sup> (aq) + CH<sub>3</sub>COO<sup>–</sup> (aq) ✔</span></p>\n<p><span style=\"background-color: #ffffff;\">equilibrium shifts to the ethanoic acid side<br/><em><strong>OR</strong></em><br/>CH<sub>3</sub>COOH/CH<sub>3</sub>COO<sup>−</sup> ratio virtually/mostly unchanged ✔</span></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
    "topics": [
      "reactivity-3-what-are-the-mechanisms-of-chemical-change"
    ],
    "subtopics": [
      "reactivity-3-1-proton-transfer-reactions"
    ]
  },
  {
    "question_id": "19N.2.SL.TZ0.1",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">The equations show steps in the formation and decomposition of ozone in the stratosphere, some of which absorb ultraviolet light.</span></p>\n<p><span style=\"background-color: #ffffff;\"><br/>Step 1    O<sub>2</sub> → 2O•</span></p>\n<p><span style=\"background-color: #ffffff;\">Step 2    O• + O<sub>2</sub> → O<sub>3</sub></span></p>\n<p><span style=\"background-color: #ffffff;\">Step 3    O<sub>3</sub> → O• + O<sub>2</sub></span></p>\n<p><span style=\"background-color: #ffffff;\">Step 4    O• + O<sub>3</sub> → 2O<sub>2</sub></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Draw the Lewis structures of oxygen, O<sub>2</sub>, and ozone, O<sub>3</sub>.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Outline why both bonds in the ozone molecule are the same length and predict the bond length in the ozone molecule. Refer to section 10 of the data booklet.</span></p>\n<p><span style=\"background-color: #ffffff;\">Reason: </span></p>\n<p><span style=\"background-color: #ffffff;\">Length:</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Distinguish ultraviolet light from visible light in terms of wavelength and energy.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Discuss how the different bond strengths between the oxygen atoms in O<sub>2</sub> and O<sub>3</sub> in the ozone layer affect radiation reaching the Earth’s surface.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p><em>NOTES: Coordinate bond may be represented by an arrow.</em></p>\n<p><em>Do <strong>not</strong> accept delocalized structure for ozone.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">resonance «structures»<br/><em><strong>OR</strong></em><br/>delocalization of «the double/pi bond» electrons ✔<br/>121 «pm» &lt; length &lt; 148 «pm» ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Accept any length between these two values.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«UV» shorter wavelength <em><strong>AND</strong> </em>higher energy «than visible» ✔</span></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«bond» in O<sub>2</sub> stronger than in O<sub>3</sub> ✔</p>\n<p><br/>ozone absorbs lower frequency/energy «radiation than oxygen»<br/><strong>OR</strong><br/>ozone absorbs longer wavelength «radiation than oxygen» ✔</p>\n<p> </p>\n<p><em>NOTE: Accept ozone «layer» absorbs a range of frequencies.</em></p>\n<div class=\"question_part_label\">d.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div>",
    "topics": [
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-2-models-of-bonding-and-structure"
    ],
    "subtopics": [
      "structure-1-3-electron-configurations",
      "structure-2-2-the-covalent-model"
    ]
  },
  {
    "question_id": "19N.2.SL.TZ0.16",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Discuss the data.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Outline what is meant by the degradation of energy.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   «similar specific energy and» pentane has «much» larger energy density ✔\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    Any two for\n    <strong>\n     [2 max]\n    </strong>\n    :\n   </em>\n   <br/>\n   similar number of bonds/«C and H» atoms in 1 kg «leading to similar specific energy»\n   <br/>\n   <em>\n    <strong>\n     OR\n     <br/>\n    </strong>\n   </em>\n   only one carbon difference in structure «leading to similar specific energy» ✔\n   <br/>\n   <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:italic;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    NOTE:\n   </span>\n   <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:italic;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    Accept “both are alkanes” for M2.\n   </span>\n   <br/>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   pentane is a liquid\n   <em>\n    <strong>\n     AND\n    </strong>\n   </em>\n   butane is a gas «at STP» ✔\n   <br/>\n   <em>\n    NOTE: Accept “pentane would be easier to transport”.\n   </em>\n   <br/>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   1 m\n   <sup>\n    3\n   </sup>\n   of pentane contains greater amount/mass than 1 m\n   <sup>\n    3\n   </sup>\n   of butane ✔\n   <br/>\n   <em>\n    NOTE: Accept “same volume” for “1 m\n    <sup>\n     3\n    </sup>\n    ” and “more moles” for “greater amount” for M4.\n   </em>\n   <br/>\n  </span>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   energy converted to heat\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   energy converted to less useful/dispersed forms\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   energy converted to forms that have lower potential to do work\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   heat transferred to the surroundings ✔\n  </span>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    NOTE: Reference to energy conversion/transfer required. Do\n    <strong>\n     not\n    </strong>\n    accept reference to loss of energy.\n   </span>\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions"
    ],
    "subtopics": [
      "reactivity-1-3-energy-from-fuels"
    ]
  },
  {
    "question_id": "19N.2.SL.TZ0.2",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">The biochemical oxygen demand of a water sample can be determined by the following series of reactions. The final step is titration of the sample with sodium thiosulfate solution, Na<sub>2</sub>S<sub>2</sub>O<sub>3</sub> (aq).</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">2Mn<sup>2+</sup> (aq) + O<sub>2</sub> (aq) + 4OH<sup>−</sup> (aq) → 2MnO<sub>2</sub> (s) + 2H<sub>2</sub>O (l)</span></span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">MnO<sub>2</sub> (s) + 2I<sup>−</sup> (aq) + 4H<sup>+</sup> (aq) → Mn<sup>2+</sup> (aq) + I<sub>2</sub> (aq) + 2H<sub>2</sub>O (l)<br/></span></span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">2S<sub>2</sub>O<sub>3</sub><sup>2−</sup> (aq) + I<sub>2</sub> (aq) → 2I<sup>−</sup> (aq) + S<sub>4</sub>O<sub>6</sub><sup>2−</sup> (aq)</span></span></p>\n<p style=\"text-align: left;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">A student analysed two 300.0 cm<sup>3</sup> samples of water taken from the school pond: one immediately (day 0), and the other after leaving it sealed in a dark cupboard for five days (day 5). The following results were obtained for the titration of the samples with 0.0100 mol dm<sup>−3</sup> Na<sub>2</sub>S<sub>2</sub>O<sub>3</sub> (aq).</span></span></span></p>\n<p style=\"text-align: left;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><img height=\"120\" src=\"data:image/png;base64,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\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"279\"/></span></span></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Determine the mole ratio of S<sub>2</sub>O<sub>3</sub><sup>2−</sup> to O<sub>2</sub>, using the balanced equations.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Calculate the number of moles of oxygen in the day 0 sample.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The day 5 sample contained 5.03 × 10<sup>−5</sup> moles of oxygen.<br/></span></p>\n<p><span style=\"background-color: #ffffff;\">Determine the 5-day biochemical oxygen demand of the pond, in mg dm<sup>−3</sup> (“parts per million”, ppm).</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Calculate the percentage uncertainty of the day 5 titre.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Suggest a modification to the procedure that would make the results more reliable.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">4 : 1 ✔</span></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><span class=\"mjpage\"><math alttext=\"{{\\text{n}}_{{{\\text{s}}_2}{{\\text{o}}_3}^{2 - }}} = «0.0258{\\text{ d}}{{\\text{m}}^3} \\times 0.010{\\text{ mol d}}{{\\text{m}}^{ - 3}} =» 2.58 \\times {10^{ - 4}}{\\text{«mol»}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mtext>n</mtext><mrow><msub><mtext>s</mtext><mn>2</mn></msub><msup><msub><mtext>o</mtext><mn>3</mn></msub><mrow><mn>2</mn><mo>−</mo></mrow></msup></mrow></msub><mo>=</mo><mo>«</mo><mn>0.0258</mn><mtext> d</mtext><msup><mtext>m</mtext><mn>3</mn></msup><mo>×</mo><mn>0.010</mn><mtext> mol d</mtext><msup><mtext>m</mtext><mrow><mo>−</mo><mn>3</mn></mrow></msup><mo>=</mo><mo>»</mo><mo> </mo><mn>2.58</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>4</mn></mrow></msup><mo> </mo><mtext>«mol»</mtext></math></span> ✔</span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">«<span class=\"mjpage\"><math alttext=\"\\frac{{2.58 \\times {{10}^{ - 4}}{\\text{mol}}}}{4} =» 6.45 \\times {10^{ - 5}}{\\text{«mol»}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>2.58</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>4</mn></mrow></msup><mo> </mo><mtext>mol</mtext></mrow><mn>4</mn></mfrac><mo>=</mo><mo>»</mo><mo> </mo><mn>6.45</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>5</mn></mrow></msup><mtext>«mol»</mtext></math></span> ✔</span></span></p>\n<p><em><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"> NOTE: Award<strong> [2]</strong> for correct final answer.</span></span></em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«difference in moles per dm<sup>3</sup> = (6.45 × 10<sup>−5</sup> − 5.03 × 10<sup>−5</sup>) × <span class=\"mjpage\"><math alttext=\"\\frac{{1000}}{{300.0}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\"> <mfrac> <mrow> <mn>1000</mn> </mrow> <mrow> <mn>300.0</mn> </mrow> </mfrac> </math></span> =»</span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">4.73 × 10<sup>−5</sup> «mol dm<sup>−3</sup>» ✔</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">«convert to mg per dm<sup>3</sup>: 4.73 × 10<sup>−5</sup> mol dm<sup>−3</sup> × 32.00 g mol<sup>−1</sup> × 1000 mg g<sup>–1</sup> = » 1.51 «ppm/mg dm<sup>−3</sup>» ✔</span></span></span></p>\n<p><em><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">NOTE: Award <strong>[2]</strong> for correct final answer.</span></span></span></em></p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«<span class=\"mjpage\"><math alttext=\"\\frac{{100 \\times 0.1{\\text{c}}{{\\text{m}}^3}}}{{20.1{\\text{c}}{{\\text{m}}^3}}} =» 0.5 \" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>100</mn><mo>×</mo><mn>0.1</mn><mo> </mo><mtext>c</mtext><msup><mtext>m</mtext><mn>3</mn></msup></mrow><mrow><mn>20.1</mn><mo> </mo><mtext>c</mtext><msup><mtext>m</mtext><mn>3</mn></msup></mrow></mfrac><mo>=</mo><mo>»</mo><mo> </mo><mn>0.5</mn></math></span> «%»✔</span></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">repetition / take several samples «and average» ✔</span></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "tools"
    ],
    "subtopics": [
      "reactivity-2-1-how-much-the-amount-of-chemical-change",
      "tool-1-experimental-techniques",
      "tool-3-mathematics"
    ]
  },
  {
    "question_id": "19N.2.SL.TZ0.4",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">A molecule of citric acid, C<sub>6</sub>H<sub>8</sub>O<sub>7</sub>, is shown.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"123\" src=\"data:image/png;base64,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\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"215\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The equation for the first dissociation of citric acid in water is</span></span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">C<sub>6</sub>H<sub>8</sub>O<sub>7</sub> (aq) + H<sub>2</sub>O (l) <span class=\"mjpage\"><math alttext=\" \\rightleftharpoons \" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mo stretchy=\"false\">⇌<!-- ⇌ --></mo>\n</math></span> C<sub>6</sub>H<sub>7</sub>O<sub>7</sub><sup>−</sup> (aq) + H<sub>3</sub>O<sup>+</sup> (aq)</span></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Identify a conjugate acid–base pair in the equation.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The value of the equilibrium constant for the first dissociation at 298 K is 5.01 × 10<sup>−4</sup>.</span></p>\n<p><span style=\"background-color: #ffffff;\">State, giving a reason, the strength of citric acid.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The dissociation of citric acid is an endothermic process. State the effect on the hydrogen ion concentration, [H<sup>+</sup>], and on the equilibrium constant, of increasing the temperature.</span></p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Outline <strong>one </strong>laboratory methods of distinguishing between solutions of citric acid and hydrochloric acid of equal concentration, stating the expected observations.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">C<sub>6</sub>H<sub>8</sub>O<sub>7</sub> <em><strong>AND</strong> </em>C<sub>6</sub>H<sub>7</sub>O<sub>7</sub><sup>−</sup><br/><em><strong>OR</strong></em><br/>H<sub>2</sub>O <em><strong>AND</strong> </em>H<sub>3</sub>O<sup>+</sup> ✔</span></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">weak acid <em><strong>AND</strong> </em>partially dissociated<br/><em><strong>OR</strong></em><br/>weak acid <em><strong>AND</strong> </em>equilibrium lies to left<br/><em><strong>OR</strong></em><br/>weak acid <em><strong>AND</strong> K</em><sub>c</sub>/<em>K</em><sub>a</sub>&lt;1 ✔</span></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAVYAAABhCAYAAACNp4kiAAAY5UlEQVR4Ae1dUYsk13WuH7Av+9gPCYJBsA8DIYg8rBCm9eAhRmDlRTgsobEHzOLoQZFCWgxYQhBEMGUGEgsUCwqGhQXBUmbzILJM1AiLxc44jWxlvZ60wJKyHnWybJZl0kjrUav3M7eq7r2nTlV1V3dXdVd1nYHdqq6699xzv/Odr27dul3tQP4EAUFAEBAECkXAKdSaGBMEBAFBQBCACKuQQBAQBASBghEQYS0YUDEnCAgCgkBMWB3HgfwTDIQDwgHhwPwcoJeThLDSk7LfHARUIsmfICAILIYAz59YNvGTizUhteqIgMS+jlETn6uCAM8fEdaqRGbNfnBirNkdaV4QqBUCPH9EWGsVvvKc5cQoryWxLAhsHgI8f0RYNy/GC/WIE2MhI1JJEGgoAjx/RFgbSgTebU4Mfl4+CwKCQDYCPH9EWLOxatQZToxGdV46KwgsiQDPHxHWJQHdlOqcGKX0a9yHuzVjfWDHxzBo/AzDozfQaenyT6Dbu4fJ8Cb2O9tmvXWr28NpQc5Ohn347mXs+ncKslgDMyYmW+hE/R73XWwFa9ovwx+OgUSZMYb+5TAGWy7643n7OULfbYf1TbzntVGt8jx/RFirFZ+1ecOJUYojJkG1WKZsdaIlyiph/dgmZPRllsKE1bRnBaYUDKpmNKXfIqzzB4nnTwHCSq4+md/ciq58QPqIYzLE0X4HLV2/tYfe6WT+3qXVmAzR9110dvVIKK1QyccMebWQKDweWJHQYmLcsJhuuX3YAcEY//bD76L7k19GJcnIIcIuXt4YnLnDiTGzwiIFCA4z/Rz66AR9okJ3B35nq5yRjvGNtrdIJ+tfJyGsiS4R3i00Yk0YrP0Bnj8rFlYrGMoR9U+NOO6bW49IeAoTVtJeQrxWGEuTtMsL680f/fXGC6tNbI1X1rYNtz8CcIpBz0O33QpF19lGx/XRH56RIJ9h2Pfh0mmEjgu/P8QkER/Vnh0MECPRLm/PQauzj8OBnZSwfbgE1ye+tTpwDwdQXmf+jQboeV20zUCjA9fvY0jGGvEpkW109g/gXgovOvqiZX0gfTF9jS4g/DPUnf88UwEvwXtn307ZtPfgGxzshbDVeQkvBfFpYcf7BY74VECKHwDPX/JZ4fiWxajVOcDx6AEG/p7BrdV5A0cxDmQivvSJcoV15tXLAu0YoSNXv6lkXqTvJBCmvUXsLFknF2loG9ZvnSTh2THiwqrrWFzj5fX52VtOjNk1FihhcHAwzU+b2FmCqo8rYb2PE/95e7ejxUht2/voj5QaTTDq75uE0xf1cPscvNvvp8z9EjGKdfUsuz3nGbj9B0Hp6X14Dt7gYcyq+TD5FP6unUO2vrbQdo9CQR4dwTUXEY2F3WpsrQ+kLyYGBQkrxVvvt56Hf6IuapaXth+q3dvJuzXuVwCIzYNQL8hn3daMbWFTRSZA6Tuqf/Qv9omfpAWz90lnpwmrAc4SwIIdPxYSY4LRoAevuxONQtSoIBphEGfCBw50GkFf3YlfBvxpt3nJ9hw+ujB92MIl9yoOjG9qhHQDgyCJiXN6l9TTDwiSV2NdWG2t7wqL//xJF39s+kCx+kv86OZvYgTWSUWt5dlfLPZ5LJMyBgfaB7qvR6AA8k4FGJHZRse7FQjPZHiIvUB4trHrf4rJ5BjeTjSabb+GnhrFmHrhXdOp8W0aR9TguIdu8ECthXbXD2IeGz3ueBhM6KivhfbeIYYTKu5ZbZAyrV14x2oEfIZh77XwohAI1ikG3nNRTuyg6x9jpEbsZKSmObAaYd1GZ/9m2L/jAzNyDQWNCGvUn8nwFj4Y3i9AWKN4xy5EKcemaRKh5rK7PH8qK6xnJz52zRNhmnx2VECTIy7S7HbDiFIWoYFJZntkpGCSj/qj91WbxyB3azZWph5t34qnHb3rKvacSpL//+ILDAYDDAa/wb+8/m18943r0ecBvvjii0YL62TgYcfEV8fCboMEJ2I4X4x0PPR2gtPeXjQ6JqPA2O1zOBq1okZGp6k80LbV9iERTdsHy231AO82et0nQmGNRDywQC4eKxXW2LTdPeYbEdbYHaPlt+F+Kja8HPls2iWYmWPkLngjhDWD4DrQsVsDAzQBwUwFqAc7zwTkCedOJkr50NsLR6+tXR8nEwKos4O93gkmsPWcAOTT5JWR8tjsE0LoOaLYA7UoOUzw1W1mcuRjSGLsRjumXoawZuCmEspip2w1YyogQC3niNUKWJoQOQhikmorio3epMZIn9RbwlWesKaNcNRt/SICPLMNIhypnFD8+WnGAzwrYpozuXxI8SlRL1EmCwfif4CP9Sl+S07KaR1ItKEw5+XIZ4N/mi9px3QMy9mWO2JNJQMVBwu0FSECghZWcvW1V2uSOIFo3mVXxzTASCB0ANOKmRENFb5gGBLNvUWjURN8OjrN0YapR+2Tehm4ibCqmFPMkvyxI1YyjcBjbOJL48YKpcaIlcEiI9Z5hJUMFoxwcB8IbxYZsRosIlxT+j2XsJpRovKTDFAC32y8tNiHvSF90HmZ4kfMXlCO1DP4EP2YeozjWOzncoXVdCzLaQv0VGE1IBMxjYmPIuvHGVdu2jYJhA4gPa332WhDH6Yj7IAYxi+a7DnamLuetRknJHD//v3o9t96mfCTnsq5z4mRs9p8xQwO9GKbYcLEhGKdwh8jFGoOXj0ZHpMHVeGXCkAv1PpOg87NTRWBuH92yijvHOs8wkqFW88Z87uwMZmO0Hdqpzj2ds0DPM0ZK5DRXDNouYKE1SFzyGaOVV/AbLy0TyGalt9GBwg3wjvSCUbGXnTnQUewRmtEWGNzgQZQEGBSRqzxgFCS86sjPaf3UwKoT9GtSU6axNNGrLRcjjYMafLWszaz+087kEVgWmb6/qqFVbWX+k8nTF5hxZSn9LlWBWjRsRiGfhFBjEFHxYn3wc7/W1EjdlJ5EDMOUMGPYUTm+smDtzQMDWcMr7mf6nNRwppiO2VVgPEp6K7lt9UBks+xfkf2ZcTKiBL7SMhrRpApwkpvKfTTUUKmcL6G3DaZOVaaZGpedJTvq3eUzLnmWPMKZNT51IRKI5cGy56LE1Kf51uLa77yvD4CkUseLfiIwSElGXUyzS2syke+rlSNJq/MXMfqtLvwenpNqVoV4tu1sEYc0jDg7U1bxzqnsKrm+DpWZwfdg6Mp61jV+auJdazBioL+FdKnDtx3PHSDrxUXJKxb+daxxnlp+W2FVX156IittHkbXvfJ8ALcaGHVyZHY6vkvKwAW0DRhnfaU3o4KslcFOAhvJ6htcpVO5Aq77Yj5T0YKRhhEWBMQyoE1I2BzKy5ia3arIc2rOwf6F/vET9KC2fvk6hMTJDoqmV9Yg0XdbB2rGmEcqG/KEGcS61jV1d3r2TWlo2P4ZL1psK6R1Le7861jzbceNbI+tyBbTPMlyfJJtVjsLXqyt24ElufAuntQ5/Z5/hQgrHWGY0W+pwprkW0vn1ScGEV6J7ZWgcDyHFiFl5vaBs8fEdZVRNoIqx7Fk3m3pdrnUx05nrZntMeJkVFMDgsCgkAKAjx/RFhTQCr8kAhr4ZCKQUGgSgiIsFYpGhXyhROjQq6JK4JA5RHg+SMj1sqHbDUOcmKsplVpZSkEyn7XcNn2l+p8tSrz/BFhrVZ81uYNJ8baHJGGcyJgV47YpYs5q+YqVrb9XE7UphDPHxHW2oSuXEc5McptTawvj0DZwle2/eURqJIFnj8irFWKzhp94cRYoyvVbFrfFptXWab9SsE838ia/ssC8W8hqdUk9J2/RPTM2nH9pRW1HvtG7JcSHPbNLft12ywfptmvZnjW7RXPHxHWdUekIu1zYlTErYq4QV6EYoQsWjpn3jBFv06tl9Xprf22oBU1fY5uo9dT0pfGsPbCbxROEb7M9wPoF6PQl3DTtvW+8uGefd2maV8Ld0VCUjE3eP6IsFYsQOtyhxNjXX5UsV37akLyJifzUy/RG7SMoOV961WarUi8zAtoItuxF81E4kvf9JT23g39AprEOzaosE7xIdV+FaNTDZ94/oiwViMua/eCE2PtDlXGAfoqPy1q3DlaJv7lDztCDevyz4Els845ElYj0moUqaYArsL3r6NnfqRP1SKjViOs2i/1w4nvwPevxqcEonK5fJhqX7cjW40Azx8RVo1Mw7ecGA2Hg3SffrstLpq2ECmj386lT5rR5zy/LMDetGVux/U7Z9XbMtKENbueiq9ePWCFlfSHi3uqfd0p2XIEeP6IsHKEGvqZE6OhMKR0m45GixyxThM14oZ6haDvwzc/h63nStOElbzTVL0S0X8Pg9Gn5oXw+udRRFgJvgXt8vwRYS0I2Lqb4cSoe3+K9D85x0pfaxkK3dj8GGXeOdYsYf0k5RcCaHv6fRApo2Qz6tSvzYy/DnM+YU2xXySoG2aL548I64YFeNHucGIsamcz601ZFWBeiF3gLwvQF6+TaQAVI8fRo2YifMFxNT/bt78Dl6g371RAmv07mxneAnrF80eEtQBQN8EEJ8Ym9KnQPiTWsaqRqcceKM2zjjVrxBqJV+JXBNT8qgufvo847V3D7FjHfQdHfjf8Pazoh//yTQWoady87zIuFOlaGuP5I8JayzAW7zQnRvEtiEVBYHMR4Pkjwrq5sZ6rZ5wYc1WWwoJAwxHg+SPC2nBC6O5zYujjshUEBIHZCPD8EWGdjVkjSnBiNKLT0klBoCAEeP6IsBYEbN3NcGLUvT/ivyCwSgR4/oiwrhL9CrfFiVFhV8U1QaByCPD8EWGtXIjW4xAnxnq8kFYFgXoiwPNHhLWecSzca06MwhsQg4LABiPA80eEdYODPU/XODHmqStlBYGmI8DzR4S16YyI+s+JIbAIAoJAfgR4/oiw5sduo0tyYmx0Z6VzgkDBCPD8EWEtGOC6muPEqGs/xG9BYB0I8PwRYV1HFCrYJidGBV0UlwSByiLA80eEtbKhWq1jnBirbV1aEwTqjQDPHxHWesezMO85MQozLIYEgQYgwPMnIayqgPwTDIQDwgHhwHwcoNePhLDSk7LfHARUEsmfICAILIYAz59YNvGTizUhteqIgMS+jlETn6uCAM8fEdaqRGbNfnBirNkdaV4QqBUCPH9EWGsVvvKc5cQoryWxLAhsHgI8f0RYNy/GC/WIE2MhI1JJEGgoAjx/RFgbSgTebU4Mfl4+CwKCQDYCPH9EWLOxatQZToxGdV46KwgsiQDPHxHWJQHdlOqcGJvSL+mHILAKBHj+iLCuAvUatMGJUQOXxUVBoDII8PwpX1iHPjqOgy23j3FlYKibI2Pc+w8PLzz9OJzzf4sb978qvAOcGIU3UEmDYwz9y3CcNtz+qJIe1sGpR/f+HT9+4c+x5fwJXrjxv3VwuXAfef6UL6yFd6F5Bh/d/Ve8eOEcHOcxfPPND/GwBAg4MUpoQkxuIgKPPsONFy8GX4M/980f49cPH21iL2f2ieePCOtMyNZcYEXE5cRYc6+l+VogMMbdGy/jgnq/yLlv4c1fN3fUz/OnfGGNTQXoW69LcH0P3XYreuHLDrr+MWxYzjDsXyHnW2h3r6A/PANwB35nC077Ejq6/o6HwQTAZIj+QRdt/SKZVgfu4YDYnWA06MHr7pAXzeyge3CEoaqv/rgNZxsd9wYGI11AFTnCAbHR6uzjcHAaGchnwxaetvcVTn/+A1xcAXE5MaZ5tTnnNB+jqYCAq1u45F4l8VXc82PxT3KEcCiw0UK7cyniYQs73jEm4JxO8go4xaBH88KB0+7ioD+EZh/nnpPg+Kx2+HkHCf7mDPCj05/h9YvnS72TyunK2ovx/FmTsCrC7MFXYjQ5QW9PCd0T6PbuKVXCqL+PttNCe+8Qw8kEo+MDdFoOnEBAI2FVgufdwmgyxAcfKOI9QN99Bopo+0fq8xmGvdfQdrax638aEHNy4mO3pe2GAni030HLtP0QA+85OM4zcPsPQl+itlvdHgLpHB3BbbfQ6ryBIyX02v/W8/BPlPDnsJGXBl/ehvfsY3Cc87j4+s9wWuJdFidGXhfrXS5NWNUbjfSFXnPIgYm/5pmzg73eCSY4xbG3i5YTCWg0kHBau/COTzEZ3sIHw4cRp7fR2b8ZXMQnw0PsKR7t+jgJVPMMJ/7zaBm76gJ+E/udbTitPfROJ8DkGN5OC057H/3gQq/b5rmT3c5k4GFH5ZZ7FA44Rrfg0TZyB/RzDLxLOKcu+hd/gJ+fFj/vn9uVChTk+bMmYdVECBEJg60fcN1Dr/uEJVMCNC2sl+EP7eMwTZhwdKArUVuKCEo0n4M3sLOU8bYj25rI2ozZatGM28BpD92WTr5ZNoyxGTtf4X7v++Ft1oWXceOu7euMigud5sRYyEjtKqULqxVRdW2NxGzLRV+FIBbrlA5rYe34GOrT2oa+swqOT3Da27MX9dQymm90RK15po2TbaoN2s7/RA/r4vlHLOTefXT/XbwczPtfxIs3PkOJ1/zcPq2zIM+fNQkrewobkTFYOTDuw93So9M0qCLh0kQPirAEMdXSjqvbrevwfR/+NTccCZtVC3rUoG6PXFzz34vfAuppiFjbqjHq0ywbxjmy8yUefPwh+oN7duXE5CNc+Qs1Wn0Mz3q38SUpXcYuJ0YZbVTPJuMH5aFxlsYWGPddbOnRqSlDdtJspB1TVdKOjwboKW76Pq656m5KjaCjfJl8Cn93G04wPXUVfo9Oc2XYY+2cBXdtTnBn5167jh6dwiLdsLuPMH7wCX7V/wj3xlo+f4/fXvmrYLR67lkPgy/1cVuraXs8f6orrPSKH4tSnOjhKX1lz3oxbUhMfftliOlfR6/3FlsOpoTXj83DKpH11TyXHhHoOVy+NYI7xUasL+rDI5z96p/wpLJ17ht49d3fYYxH+Lz/w3Bu9cL30StheRV3gxODn9/Mz4sK6xY6/p10SFLEUt8VKYzT/oVLEe20QzBvek2J6yF63q4VVtViILxvkecPaq7WD54/5GtHPWd4D77HnkX4ffucgfbs7Jf4xyfVPOof4elXDzFU4vr5L+AGc6tP4uXe3caPVhVcPH+qK6xGpGiU1X6asOoEYbfosap6WkDPhYYnNRnT19mShwnB9MAn4YOz2C1drJGUD9yGfgxBio5/h3df/UY4X3W+A++/PsH7rzwFx2nh62/eKn20qjzhxCDebfCu5k38VjvOhTjfwhGrnrZKgSZFWMORqX6IlVJHHdJTDGbOVR3UAwZ2h6dNKJGNBDKYvgjantGOrhts6cPcrOmB32P47t/j6XPqovA4vuV9iLvvvxZOUX39n3FbRqsBkjx/qies0AIYTdjHiKA+xImuT4cCyUmliakEd5Aiinr+aUqiQCefsvEgdZ7WzMNlCi61Yed3te/B9suP8PZ3/jQQuHNPtfG18w6c89+D/1nZkwChF5wYMd829oOOS35hNQKoH2ZybNKEVd/pMH7EOJsqilEu6KkA3lbwOcoHZXsczQdPayfNRmrbtODn+O3b38PjwV3Vn6H9NTVFdQHf8f9bRqsRTDx/KiisfFWAuv2hTy6jUSMf0er5J7oq4OgNdNQqgOAJaLRqwDzxjy87Ca742oZesaBA021HT2LDlQVqDlavChgiXFkQrSTIYYNSlu7bLwKEt4ytv7mB+yuavuLEoH5t7v4CwppYFWBXrdhRI79Q63n3bbIqIHrir5/wR6tNzBP/2LK/cDRpVrWY5V+6bc3xWe08NCsP7PJGvbJAr4TJiDZZT6244rT+rpRvAGa0XvnDPH8qKKwKw7joqVvidteLJtrTR6wB8jEyKnEi6wtVgdExfLL+VK0R9A6vwVVLWKKr/GTYh28eGigbdA1tGN/EWsLEWsPZNkJL/H+y4Np5Cq+8/3+8QGmfOTFKa6hShhcR1nCZXmy9tOKZ1wsfdKaNWIM+p3Far81WBdRtuU/mTkPOH/r/ECyPsmthfbhqeZSZr2UcT80d0o7KEd8+tA3sMP5mhche+M/hwis/DZcfZhVu2HGeP+ULa8MAXrq7j0a482Ef/Q/vYLSi0arymRNj6X6IgQ1E4CuM7txCv38Ld0bNXrfKg8vzR4SVI9TQz5wYDYVBui0ILIQAzx8R1oVg3LxKnBib10PpkSBQHgI8f0RYy8O6VpY5MWrlvDgrCKwZAZ4/IqxrDkhVmufEqIpf4ocgUAcEeP6IsNYhaivwkRNjBU1KE4LAxiDA80eEdWNCu1xHODGWsya1BYFmIcDzR4S1WfHP7C0nRmZBOSEICAIJBHj+iLAmIGrmAU6MZqIgvRYEFkOA548I62I4blwtToyN66B0SBAoEQGePyKsJYJdJ9OcGHXyXXwVBNaNAM8fEdZ1R6Qi7XNiVMQtcUMQqAUCPH9EWGsRtvKd5MQov0VpQRDYHAR4/oiwbk5sl+oJJ8ZSxqSyINAwBHj+iLA2jABZ3eXEyConxwUBQSCJAM8fEdYkRo08wonRSBCk04LAggjw/EkIqyog/wQD4YBwQDgwHweoJieElZ6U/eYgoJJI/gQBQWAxBHj+/AEvW7MoCiwSTAAAAABJRU5ErkJggg==\"/></p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Any one of:</em><br/>«electrical» conductivity <em><strong>AND</strong> </em>HCl greater ✔<br/>pH <em><strong>AND</strong> </em>citric acid higher ✔<br/>titrate with strong base <em><strong>AND</strong> </em>pH at equivalence higher for citric acid ✔<br/>add reactive metal/carbonate/hydrogen carbonate <em><strong>AND</strong> </em>stronger effervescence/faster reaction with HCl ✔<br/>titration <em><strong>AND</strong> </em>volume of alkali for complete neutralisation greater for citric acid ✔<br/>titrate with strong base <em><strong>AND</strong> </em>more than one equivalence point for complete neutralisation of citric acid ✔<br/></span><span style=\"background-color: #ffffff;\">titrate with strong base <em><strong>AND</strong> </em>buffer zone with citric acid ✔<br/></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Accept “add universal indicator </span></em><span style=\"background-color: #ffffff;\"><strong>AND</strong></span> <em><span style=\"background-color: #ffffff;\">HCl more red/pink” for M2. </span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept any acid reaction </span></em><span style=\"background-color: #ffffff;\"><strong>AND</strong></span> <em><span style=\"background-color: #ffffff;\">HCl greater rise in temperature. </span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept specific examples throughout. </span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Do <strong>not</strong> accept “smell” or “taste”.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "tools"
    ],
    "subtopics": [
      "reactivity-2-3-how-far-the-extent-of-chemical-change",
      "reactivity-3-1-proton-transfer-reactions",
      "tool-2-technology"
    ]
  },
  {
    "question_id": "19N.2.SL.TZ0.6",
    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Automobile air bags inflate by a rapid decomposition reaction. One typical compound used is guanidinium nitrate, C(NH<sub>2</sub>)<sub>3</sub>NO<sub>3</sub>, which decomposes very rapidly to form nitrogen, water vapour and carbon.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Deduce the equation for the decomposition of guanidinium nitrate.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Calculate the total number of moles of gas produced from the decomposition of 10.0 g of guanidinium nitrate.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Calculate the pressure, in kPa, of this gas in a 10.0 dm<sup>3</sup> air bag at 127°C, assuming no gas escapes.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Suggest why water vapour deviates significantly from ideal behaviour when the gases are cooled, while nitrogen does not.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Another airbag reactant produces nitrogen gas and sodium.</span></p>\n<p><span style=\"background-color: #ffffff;\">Suggest, including an equation, why the products of this reactant present a safety hazard.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">C(NH<sub>2</sub>)<sub>3</sub>NO<sub>3 </sub>(s) → 2N<sub>2 </sub>(g) + 3H<sub>2</sub>O (g) + C (s) ✔</span></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">moles of gas = « <span class=\"mjpage\"><math alttext=\"\\frac{{10.0{\\text{g}}}}{{122.11{\\text{g mo}}{{\\text{l}}^{ - 1}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>5</mn><mo>×</mo><mfrac><mrow><mn>10.0</mn><mo> </mo><mtext>g</mtext></mrow><mrow><mn>122.11</mn><mo> </mo><mtext>g mo</mtext><msup><mtext>l</mtext><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></mfrac><mo>=</mo></math></span>» 0.409 «mol» ✔</span></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«<span class=\"mjpage\"><math alttext=\"p = \\frac{{0.409{\\text{mol}} \\times {\\text{8}}{\\text{.31 J }}{{\\text{K}}^{ - 1}}{\\text{mo}}{{\\text{l}}^{ - 1}} \\times \\left( {127 + 273} \\right){\\text{K}}}}{{{\\text{10}}{\\text{.0 d}}{{\\text{m}}^3}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>p</mi><mo>=</mo><mfrac><mrow><mn>0.409</mn><mo> </mo><mtext>mol</mtext><mo>×</mo><mtext>8</mtext><msup><mtext>.31 J K</mtext><mrow><mo>−</mo><mn>1</mn></mrow></msup><mtext>mo</mtext><msup><mtext>l</mtext><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>×</mo><mrow><mo>(</mo><mn>127</mn><mo>+</mo><mn>273</mn><mo>)</mo><mo> </mo></mrow><mtext>K</mtext></mrow><mrow><mtext>10</mtext><mtext>.0 d</mtext><msup><mtext>m</mtext><mn>3</mn></msup></mrow></mfrac></math></span>» = 136 «kPa» ✔</span></p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Any <strong>two</strong> of:</em><br/>nitrogen non-polar/London/dispersion forces <em><strong>AND</strong> </em>water polar/H-bonding ✔<br/>water has «much» stronger intermolecular forces ✔<br/>water molecules attract/condense/occupy smaller volume «and therefore deviate from ideal behaviour» ✔</span></p>\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">2Na (s) + 2H<sub>2</sub>O (l) → 2NaOH (aq) + H<sub>2 </sub>(g) ✔</span></p>\n<p><span style=\"background-color: #ffffff;\">hydrogen explosive<br/><em><strong>OR</strong></em><br/>highly exothermic reaction<br/><em><strong>OR</strong></em><br/>sodium reacts violently with water<br/><em><strong>OR</strong></em><br/>forms strong alkali ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Accept the equation of combustion of hydrogen.<br/>Do <strong>not</strong> accept just “sodium is reactive/dangerous”.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-3-classification-of-matter",
      "tools"
    ],
    "subtopics": [
      "reactivity-2-1-how-much-the-amount-of-chemical-change",
      "structure-1-5-ideal-gases",
      "structure-3-1-the-periodic-table-classification-of-elements",
      "tool-1-experimental-techniques"
    ]
  },
  {
    "question_id": "20N.3.SL.TZ0.1",
    "Question": "<div class=\"specification\">\n<p><span class=\"fontstyle0\">In order to determine the oil content of different types of potato crisps (chips), a student weighed <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>5</mn><mo>.</mo><mn>00</mn><mo> </mo><mi mathvariant=\"normal\">g</mi></math> of crushed crisps and mixed them with <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>20</mn><mo>.</mo><mn>0</mn><mo> </mo><msup><mi>cm</mi><mn>3</mn></msup></math></span><span class=\"fontstyle0\"> </span><span class=\"fontstyle0\">of non-polar solvent.</span></p>\n<p><span class=\"fontstyle0\">She assumed all the oil in the crisps dissolved in the solvent.</span></p>\n<p><span class=\"fontstyle0\">The student then filtered the mixture to remove any solids, and gently heated the solution on a hot plate to evaporate the solvent.</span></p>\n<p><span class=\"fontstyle0\">She measured the mass of the oil that remained from each type of crisps</span> </p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Suggest why a non-polar solvent was needed.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">State one reason why the mixture was not heated strongly.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Non-polar solvents can be toxic. Suggest a modification to the experiment which allows the evaporated solvent to be collected.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Suggest one source of error in the experiment, excluding faulty apparatus and human error, that would lead to the following:</span></p>\n<p><img height=\"275\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAvYAAAE2CAYAAAAK4dYJAAAgAElEQVR4Ae3dh39T9eL/8d+f0pbsDsoos0wBKVw2gnBll6EC4laUJYIo43IdoAKKgiKoLGcRcSFb1CsU5RYZIiKl2EJLW9Lm/XvkJG2TDnLK9ZxvKC8eD22Sc/oZz88nJ+98cnL6/8Q/BBBAAAEEEEAAAQQQuOkF/t9N3wM6gAACCCCAAAIIIIAAAqoO9mVlZbp06RL/YcAcYA4wB5gDzAHmAHOAOcAcuAnmQEVFRdTbmepg//KKlWqRmqZWzdP5DwPmAHOAOcAcYA4wB5gDzAHmQBzPgfSUVB35z3/qD/bz583Ta2vWRG3kDgIIIIAAAggggAACCMSfwISx47Tr88+jGla9Yk+wj3LhDgIIIIAAAggggAACcStAsI/boaFhCCCAAAIIIIAAAgiYFyDYm7diTwQQQAABBBBAAAEE4laAYB+3Q0PDEEAAAQQQQAABBBAwL0CwN2/FnggggAACCCCAAAIIxK0AwT5uh4aGIYAAAggggAACCCBgXoBgb96KPRFAAAEEEEAAAQQQiFsBgn3cDg0NQwABBBBAAAEEEEDAvADB3rwVeyKAAAIIIIAAAgggELcCBPu4HRoahgACCCCAAAIIIICAeQGCvXkr9kQAAQQQQAABBBBAIG4FCPZxOzQ0DAEEEEAAAQQQQAAB8wIEe/NW7IkAAggggAACCCCAQNwKEOzjdmhoGAIIIIAAAggggAAC5gUI9uat2BMBBBBAAAEEEEAAgbgVINjH7dDQMAQQQAABBBBAAAEEzAsQ7M1bsScCCCCAAAIIIIAAAnErQLCP26GhYQgggAACCCCAAAIImBdoOsE+cEEbRrnlSEhs4L9m6r7gO10zb2PNnv79mtM8UYNfO6tKa2poVKmBoqN6f8EL2lUUMP17/t0PKzlhuDb8af53TBd+C+54I2NgmilQpKPvLtBLnxcpNFp+HZrbRr4hb+j3eJiApjsSuWNARUff0zMvfK5GTNvIAhq47de3D3nkGP62bp2pXaFzn87V8PbJ8jTzqNczhxqwuf7D/v2z1SphoNb+FpxUsRz9OjArXY4Br+us3XMwzo6/11dlKwIIINB4gSYX7L1DVum03S8WjXePm98o3jpJPtdYbSowH9IJ9n/v8N3IGJhuQfFWTXG5NX5jQRMK9sXaNtEt35iNasS0NUEWK5CaKOJm28X/vZ7r7lS7qdv0R1m5ysr/joPnLeh4s4077UUAgSYrQLBvskNrrmM3EioJ9uZsze51I2NgtmwR7E1TxV5pbkRRN8uu5V/p8VZuDV55QhV/W5sJ9n8bJQUhgAACjRS4BYN9ob54sJ1c6VP16V9VWsXa+2RHuTLu185LAfkPzlV79z16M2eZJvVsqWR3uroNe0xv/VAYdfpM5YX9WvPgHeqe7pHPm6Heo+dpy8/FVYXKv3eWWnuztfj5bHVPcatFl5naVRB9Ko7/wBy19U3Xuk+WaHKvVvI5PGp7+xStPPCnTu94VtndW8jn8KnT8Hn67Jy/umypUvn7VumRoV3V2u1WauueGjdvs36prt6vg3MzlDx1nb54Yar6t02W15WunqMX6tPT5ZICKtg4Vr7qU5ecGvrKSaP8kuPb9ezkAera3CuPw6s23UfoyXeO6kp4UT9WsL/xPpXo+PZndE//TmrlccrjaaWed87UxqNXwqvNUqDoR61/eLi6N3fL40pTZp8Jmv/eMVV1O9b2CMCam8U/a8tTY9S7dbJ83jbqO/FZrZrZR8lZ/9bPwbTj36c56T5NevYFTeqcKl9qVz35eZFij0Gwiuv1qeExUOUF7V/1kIZ3aaFkl09te4zR/M0/V/ez4TbVdCtQsFHjXTWnpnkGvmqcJhE8FcfbZ7ZeX3qPMS987hbqedd8fXSyrOaXr9vu4G6x5ldEUbVuxppfwd0r8vdr7WMj1KO5W05HmroMmqGV3/4pf6BAm8ZEnHLnGKRVJ8u059Fkue7cEHUKjf/LB+RLGqX3qpf1rzcWoT5d/1Qcvw7OyVDatDf06ZKJymrplsedoT6TV+jgn6e1c9F49Up3y+PtqJHzdijq6VpyXB88M0WDMtOV4nAqpWV3/XPmOzpa9aRSQEU/rtNjw7uqlcspX2oH9R8/T5uPVc/sGNtrIYfv+s9/q1dmDFYXXzM5XC3Ve/R8bTteYmz1H12qrGY188PhuktvX6j/k7vrlWPI/S+n4vgP6KnWHt23bpdemvoPdfS55GveXeMWfiLjUFV/14KzRBf3v66Zd3ZXK1eSPKmZGnrfCu35M3ScNHP8jXW8MPVaECjSf9Y9opFd0uVzuNWifV9NnPe+ql8KKnL1r66J8kz8qMGesAEBBBD4uwRuwWAvBQp26P4Ml3ovyzXOufcff0n9XRma/slFI0AaB/OEZvK2Ga1XD5zXlaIz+urZQWrhu0Nrfw2H6+JDWpzlU4v+8/TxzxdV/Ncv+nBmllJbZ+s94zxThYJ9QqJaT3hLeZev6MzRE7pc6xxPIwQnJMrXa5Z2nLyi8uI8rR+dKoc7VZkjnte+cyUqu/Sdlg90K3XiB9XjXnzoOfXzpmnQvI/0y8Vi/fXLB5rV26e22e+Gz1sNBS9Hold9H9+mYwWlKrv4vVYOT5W336s6Ff7EvfZqcaBwpx5t51WfWTk6WVSua8XndGjVeLVz9tSS/4RfMGOcY39jfQqocOfDyvT01pycX3W5/JqKzx3UmnEZ8vZYrJ+Mqgu1Y2pLZYxdq9zCclX6i3V21xz1dnXR4h+DO8TaXs1XcyNwQR9Pbydfx7v15qE/VJh/TNufzFJaQqI8UcE+UY70bL2dd1lXzuTq1yIp9hiY6ZNUewykYn33bB+lpg7Q/A9/1sXiv3R8+xPq683QpHfD380w3mzUbVNNx8K3GlixdyQ41ePBzfr5UpnKC49ozV3N5e37sn415oWZdpubX7XbY2Z+6eohLeruVNvxr+nwhTL5ywqUu3GqMp199XJesIG1T8Xxmwj25vpkJtg7EtzKejJHp66UqzhvncalJCo5pYPu+vdenSsp06XvlmmIy6cp28MrB4FCff5Qe6XcPls7fi1S+bVinTu4StmtXer93H8Umto5uq9FS01Ym6vC8kr5i8/qi9k95ev8rIynXWGM7bWhg/eLvtGszCR1mLRO/8kv07Urp7Rr4QCl+O7UupOh57KCK/Yt3RpyvRV7E+X8T+fYG8E+UU5Plp7YlquC0jJdPPySRqa4NPDVk1GLKZHdvHpooXo6MjRxzWHll/lVVpCrTVPby9tnpYLTxAj21z3+xj5emHktKMyZpowW4/Tm0UKVV/pV/Nsuze3hVvdFP4bGNrLR3EYAAQQsFmhywb7BL88aK3tVHzYHdPGje9U2dbQ25v2iN/+ZpjaTP1B+1Yp0cMU+MU33fFi9pC9VnNSr/Vxq/+Q+Y6X2/IYxSnMN0isnqsqUVLZfT3d2qdtTB4xhC72wtNCsPcEV8vC/eoN9smbsqFqZk4q2ZcuT0E3LjlaVXamzrw+Wp/W8UCGV57VxdLJ8A1/Wr1W7GNU/pe7OzlpwIFhfOHilPqAvrlZVLpXmTFOyc4zeD69iRofKgArezVZqymRt+yti5a70Y033uXXXuvNGQaZW7BMa2adAgd6f4FP6pK2Krnqq0lwjtf58QKr4SYs7udV/RQOnDcTaXsNQfavivy9poCtDD+UEV+DD/67l6t9ZjjrBvvXMPaoeSTNjYKZPwZha63sOlec3aJzPraFRYatMB+Z1kbfTfB00hjf4KUKiotpU1f7Inw0Ee2fqDH1eM+VU9sUDSneN05ZLwQ9zTIyFyfkV2RTjUyIT8+vS5vHyucZrS/VKe3QpNxTsTfbJVLD3TdfOarsibZ/glKPrEuVWPRcrz+qNQU61m3fQaHig4D1N8qbq7q1/VX/yJJXqk6nJ8o1Yp9DUfk7dXH21Mq+qkOg+V/x0/e3RewfvVer0mgEKjvPOyxFbK37Vy30S1eKBXaEHYwZ7c+X8HcE+2KaaQ1WpPpvqkXf0ew18j+KStoxzyzducwPbq4L9dY6/Jo4XRrC/7mtBhY4821m+PisU+VIQIc5NBBBAwFaBJhfsTX95NnBBH0xqKVdikhzNs7XlfM2XxoyDuWu03r8YEW5VoR8XdpS39wsKvijvuC9Nnh5LdCS88BUatVLtmJ4mb/8Vxl0j2DsG6rXIb/PWF+yT+milsRIZKqXss+nyOsZra2HVXAjo4sa75El9PFxNjh5Idar34p+iV4RKc3R/qkuDVuRVB3tPxOp88Jf9++Yow3mH1p8L9bd2qDQqKM/XsS+3av3KJZr/0GSNuK2lfAkuDVt9xthsKtg3tk+hnqk8P1dfb12nV5bM06OThun2Fm45nEO15kywvSXaN7uTXK6OuuuJl7V9b54uVSftYAGxtocrqf4R0MUNo+VzTdD7hZFjfU0H5mXKF7Vi79TgNadrVg9LzYxBqKLr96lusC/NmaF0R08tDX1MUd3a0pz7lO4cEAp/xop9rTZV7xlxo4Fg7+33SvWnNsG9/d/NV0fXEL0Z/rQp+Nj12x164xhrfkW0pObmdeeXX3sfT5NzwOrrfAn+RlbsQ9XH6pOZYO/Kekknqg8XZdo5zSXPuC2qebrma9M/nWrx+J6aPqtcF3O/0rZ1L2vZvId197AeynAlyjtktUJTe5/mZjaTr8NIzV65TfvyLtW8iQyWUhJje0RNoZuX9WF2MznHRrTL2FCho891lqPDM6HdYgZ7c+X878HeWWt13q/9s1vKO3Sdwoeq6B769+iJ1CQNXh3xnIzeI7Rif93jb+zjRezXAqlk7xx1TXKr04gn9cq2fcqLPijVahV3EUAAAWsFbt1gL+lyznS1SEhU2sTtCi5UVv0zDuaeGfoiKjRWKu/FLHnbP22saG4cHXGeb/V56qHzVV2d5htFGcHeOUxv/RERGusL9o4hejPium+hYJ+tD6oXkQO6uGlUdbAPFLyjcRHnTkd/StFM3Z4KrhSGgpd38Nqoyxr6989RG+dQrQtf67B2sK/8I0ezbk+ROyVTQ8bdr6eWr1POgTd1b7JLw1adDvXLzKk4jexTcIXxj5wn1CfZofSOA5U9Y66eX/epDr55t5oHg33Vm6NrF3Rw/dO6Z0B7pQTdfZ01eu5W5ZWGRy/W9qpBNn5W6MSKAfIm36cdkaeXq0I/L8+qdY69SyPW/1G94mpuDMz1KXoMAip4Z0zEdx8izoEO9jepsxYcvBY+7z+6TVFdq7rTQLCvfbnLULAfFL5coZl2m5tfVc2o+hl7fpUq526nnHdtUtT76qoCjJ83EuzN9clMsPdEPafCwT57u6oXxgP5eveuiGBf+Yd2zOyt5s1S1WXgeD04999a/+kBrZuSosiFiGsXDujt+VM0uJ3XuGRvWqe79NTWPNVM7etvjyIKnNP6oYnyzNhV6xK/lTq1qr8cvsdCu8cK9ibL+d+DvUt3rI28BLBfB+a0knfIG/UH+9JPNdWRpDGbQqdPRvU9fMfM8VcxjhcxXwuMuq7pwoG3tGDyQGV6gs/XZHX751xtqz4o1dc6HkMAAQSsEbh1g33JQS3o5lRy83QlJ2Vq1u7ql+XQl2ddkcE6iO/X9/M7GOdvSlf18b3J8g5dE1pta2BszLywGOejNzYEX/1I03wuDV9zpmYFuU4bzAWv6FBZpr2zOsrdcrLe/z3io4jLmzXZZXGwL9ujOR0cajPpvagvHV7ePFG+yGAf0c9rhSe0961H1NfdTLc9dyT60wtJsbYHTw25+PYo47SP9yLP/9E1HZzXqdaKfa0QbWYMTPYpegykqx/dqzTnHXrNWMqN6HDkTWPFvlabIrdX3b6RYG+q3ebmV1UzQj/NzC+/9j7W+BX74O+4hr+lyPfQpTn3ypMY/vKsyT5ZEezL9sxWp2atdPe7v0fM0cvaMtEdFexrrK6pMG+PNjycpeSkbloS/bFgcGbH2B4s6bI+mFD/iv2RRZ0atWJvphzbg71/j2aaWbGPsbBSY17/8SK0Yn+914LIEoyDjk7seVuP9fbI1XVxrU90a+3LXQQQQMACgVs02Jfq+2duk8c3QuvyftHrQ7xydZ6jfVdCwsbBPKmNnvy2aq0seAGGE1rZx6WuC783zl/97fU7lZw8ThuDJ8hW/avI08oBbqVP2mI8Ylmwr/xNbwz3qPnYd4zzc2uqX6HBrjTdvaXA9Ir91e1311zHPpCvd0a5jTcsEWdkqHTPbHVOqrlqjqlTcRr5ZiWQv0FjXcE3K79FvFkpNd5ouByDtepk9bkPVd0N/TRWR11KnpoTcX5uxC4xtlccf1EDXBl6ZGd48IO/WvFfreznrHWOfa0QbWIMzPYpagyCs+u3tRrpTtGEd85Xf0IQvAJI3oqB8qVO1tbguedmg/3VD3SvievYR67Ym2v3DQR7U/MroIL3x8nnzlbVd08jRjN886o+nBJ5HfsK/bCwvZy9XtDx6mlSoV+W95IjHOzN9unvD/bhN4/BN2rRTyrN6dhMnkE1X2Sv3c9A/iaNcXo0PafmzPPIfa6/vVKnVgfPsb+v1jn2J7QyK1Gp0z4LFRVrxV7myrE92AcKtGWsW8nZ2xTxTahIntCpOI0I9sYv1zpexH4tiKoyfCf0CavXPVU76h+6+n6JxxBAAIG/ReCWDPalPy5WltOnEa+fNFbQruW9oqHuZurx9CEjHBoH84REebs9qC3H/lJJ0Sl9vnCA0ltM0JbwCZ+Bwq81p7tbbYYv0WfHC1RcdEpfLxmmVp4+Wno4dDS3LNgroMKvZ6unq7VGLt6h4wXFunzqKy0blq6UrCUKVW8ueJV/+ZjaOPtq+U8FunixSEeW3i6vd6Ce++acrpZf0dlDG/RIT4+CV1Hpt/yYMemsCPbyH9G/ermUOmCRdp+7qvIrZ/XdhofU250oh6OPnj9WIV3do9ntvBq48CuduXxNlZWlOr93qYb60jVle74CsbbX95QJ5OvTGe2V3GW63j58XpcL8pSzYJBaJibK0+cFHQ9+l7HeEG1iDMz0KXgue9QYlEiBQn0zq7t8rYZrac5xFRQX6dSXSzSiuVf9Fh8OvYGpt031dNAIbi71X/aTCvIvGm/46vvLs5HB3tRYmDzVK7pFflPzS1cP67keLnWcskFHL5WrojzY/0Ua6GqrJ3YHv7Varq8fbSVvn2U6UpCviyUBFX/5oFonZOqRj0+rpLxEZ79ZphHpzeSoutylqbGIdf310OUuG3sqjv/IUuN4M3jRNzp3tVxXfjukjQ/2UnLElZeu7nlSmZ7+WvTlGV2+VqnK0vPat3Sw0ppP0gf5AcXaHu0cvlf0tZ7oGLwqznrjqjj+4tOhq+K4B+qVX8J/gztmsA9eXSd2ObYHe0lXDy9Sb2c73fv2UV0qr1B58Bi8qL98bR7Xt8XhL89eL9ibOF7Efi24qr1PtFdKv4X6+sxlXausVOn5ffrXoGS1mrj9OqeT1TtiPIgAAgj8zwJNLthHn28efX6y5x8v6r8lR7Q8y62UIWtUdeXK4Efbx1cMVLKjlxb/UBo6FceZpceXz9GoLmnyeTKUNW6hPsyLXn7xn/taK+8bom7ha6p3GjBNK745X/2HXqwL9sFx9+vcVy/pgcGdw9e97qjBU1/U7vNVV9UwF+xV/L1eHtVRqc1c6jpvv1SSq42PDFHnVJfcrubq3G+SntmYoxeGe5Q+cbMx4SwJ9sHvB+a+o8cHd1S60yFfWkcNnLhAm3Ke10h3qqZsDn4KIZUc36IF4/ooM9Utl8Ondr1Ga+7Go7oc/uAk1najkNr/K/lZ7z85UrcF/x6Br60GTH1BSye2lK/qrxg3GKJjjYG5PtUZg2D7/Of09UszdEen0LWx0zsM1H0vfqOa4Q1eFafWpwi1+2XcL9b3K0aps9chb+ZT5oK9qbEwOb9qt8nE/Ar+SvA69qtnDFJm8PrrScnK7H+3luecUtVXIYoPr9TYjj65nZ309L5rxpuhw2tmaFAbj1zO5uox6mlt+3SJ+rlqrmMfe35ZE+yDX+o+9s6juqNjmrzN3GrZsb+mLNioHf8eruSUSeGr/5To+Jb5ys5qr3RXM3m8GcoaPUebjl4Of2oTa3tt6NB9//ndWjl9oDK9SXIGr7k/7mltyY34dMpMsA/Omhjl/F8Ee+M69vte1YMDOygtKVEuX3sNmrJMn50KzRIzx99Yxwsj2Md6LSg5rq1PjVe/dmnyJTmV2vp2jZ29UUerDkpcx77+ycmjCCBgiUDTCfZ/I49xMHcN1bqIL7T+jcVTVNwLFGnbRJ9azthR/+k9cd9+GogAAn+HAK8Ff4ciZSCAgJ0CBPt6tDmY14PSRB+qPL1aw1wpumPJt/q9uEKVZRd1bNtM9UnppnnfRqxsNtH+0y0EEGhYgNeChm3YggAC8SlAsK9nXDiY14PSZB+6qv9uX6BJ/+iolq5mcjrT1HnAvfr3zt+iryPeZPtPxxBAoCEBXgsakuFxBBCIVwGCfbyODO1CAAEEEEAAAQQQQKARAgT7RmCxKwIIIIAAAggggAAC8SpAsI/XkaFdCCCAAAIIIIAAAgg0QoBg3wgsdkUAAQQQQAABBBBAIF4FCPbxOjK0CwEEEEAAAQQQQACBRggQ7BuBxa4IIIAAAggggAACCMSrAME+XkeGdiGAAAIIIIAAAggg0AgBgn0jsNgVAQQQQAABBBBAAIF4FSDYx+vI0C4EEEAAAQQQQAABBBohQLBvBBa7IoAAAggggAACCCAQrwIE+3gdGdqFAAIIIIAAAggggEAjBAj2jcBiVwQQQAABBBBAAAEE4lWAYB+vI0O7EEAAAQQQQAABBBBohADBvhFY7IoAAggggAACCCCAQLwKEOzjdWRoFwIIIIAAAggggAACjRAg2DcCi10RQAABBBBAAAEEEIhXAYJ9vI4M7UIAAQQQQAABBBBAoBECBPtGYLErAggggAACCCCAAALxKkCwj9eRoV0IIIAAAggggAACCDRCgGDfCCx2RQABBBBAAAEEEEAgXgUI9vE6MrQLAQQQQAABBBBAAIFGCBDsG4HFrggggAACCCCAAAIIxKsAwT5eR4Z2IYAAAggggAACCCDQCAGCfSOw2BUBBBBAAAEEEEAAgXgVINjH68jQLgQQQAABBBBAAAEEGiFAsG8EFrsigAACCCCAAAIIIBCvAk002Fcod2k3ORzZ2l7UED374MPcqCvA84LnRd1ZEXqEucHcYG7UFeB5cWs+L+rOhHh5pIkG+3jhpR0IIIAAAggggAACCNgjQLC3x5laEEAAAQQQQAABBBCwVIBgbykvhSOAAAIIIIAAAgggYI8Awd4eZ2pBAAEEEEAAAQQQQMBSAYK9pbwUjgACCCCAAAIIIICAPQIEe3ucqQUBBBBAAAEEEEAAAUsFCPaW8lI4AggggAACCCCAAAL2CBDs7XGmFgQQQAABBBBAAAEELBUg2FvKS+EIIIAAAggggAACCNgjQLC3x5laEEAAAQQQQAABBBCwVIBgbykvhSOAAAIIIIAAAgggYI8Awd4eZ2pBAAEEEEAAAQQQQMBSAYK9pbwUjgACCCCAAAIIIICAPQIEe3ucqQUBBBBAAAEEEEAAAUsFCPaW8lI4AggggAACCCCAAAL2CBDs7XGmFgQQQAABBBBAAAEELBUg2FvKS+EIIIAAAggggAACCNgjQLC3x5laEEAAAQQQQAABBBCwVIBgbykvhSOAAAIIIIAAAgggYI8Awd4eZ2pBAAEEEEAAAQQQQMBSAYK9pbwUjgACCCCAAAIIIICAPQIEe3ucqQUBBBBAAAEEEEAAAUsFCPaW8lI4AggggAACCCCAAAL2CBDs7XGmFgQQQAABBBBAAAEELBUg2FvKS+EIIIAAAggggAACCNgjQLC3x5laEEAAAQQQQAABBBCwVIBgbykvhSOAAAIIIIAAAgggYI8Awd4eZ2pBAAEEEEAAAQQQQMBSAYK9pbwUjgACCCCAAAIIIICAPQJNNNhXKHdpNzkc2dpe1BAk++DD3KgrwPOC50XdWRF6hLnB3GBu1BXgeXFrPi/qzoR4eaSJBvt44aUdCCCAAAIIIIAAAgjYI0Cwt8eZWhBAAAEEEEAAAQQQsFSAYG8pL4UjgAACCCCAAAIIIGCPAMHeHmdqQQABBBBAAAEEEEDAUgGCvaW8FI4AAggggAACCCCAgD0CBHt7nKkFAQQQQAABBBBAAAFLBQj2lvJSOAIIIIAAAggggAAC9ggQ7O1xphYEEEAAAQQQQAABBCwVINhbykvhCCCAAAIIIIAAAgjYI0Cwt8eZWhBAAAEEEEAAAQQQsFSAYG8pL4UjgAACCCCAAAIIIGCPAMHeHmdqQQABBBBAAAEEEEDAUgGCvaW8FI4AAggggAACCCCAgD0CBHt7nKkFAQQQQAABBBBAAAFLBQj2lvJSOAIIIIAAAggggAAC9ggQ7O1xphYEEEAAAQQQQAABBCwVINhbykvhCCCAAAIIIIAAAgjYI0Cwt8eZWhBAAAEEEEAAAQQQsFSAYG8pL4UjgAACCCCAAAIIIGCPAMHeHmdqQQABBBBAAAEEEEDAUgGCvaW8FI4AAggggAACCCCAgD0CBHt7nKkFAQQQQAABBBBAAAFLBQj2lvJSOAIIIIAAAggggAAC9ggQ7O1xphYEEEAAAQQQQAABBCwVINhbykvhCCCAAAIIIIAAAgjYI0Cwt8eZWhBAAAEEEEAAAQQQsFSAYG8pL4UjgAACCCCAAAIIIGCPAMHeHmdqQQABBBBAAAEEEEDAUgGCvaW8FI4AAggggAACCCCAgD0CTTTYVyh3aTc5HNnaXtQQJPvgw9yoK8DzgudF3VkReoS5wdxgbtQV4Hlxaz4v6s6EeHmkiQb7eOGlHQgggAACCCCAAAII2CNAsLfHmVoQQAABBBBAAAEEELBUgGBvKS+FI4AAAggggAACCCBgjwDB3h5nakEAAQQQQAABBBBAwFIBgr2lvH+KoG8AACAASURBVBSOAAIIIIAAAggggIA9AgR7e5ypBQEEEEAAAQQQQAABSwUI9pbyUjgCCCCAAAIIIIAAAvYIEOztcaYWBBBAAAEEEEAAAQQsFSDYW8pL4QgggAACCCCAAAII2CNAsLfHmVoQQAABBBBAAAEEELBUgGBvKS+FI4AAAggggAACCCBgjwDB3h5nakEAAQQQQAABBBBAwFIBgr2lvBSOAAIIIIAAAggggIA9AgR7e5ypBQEEEEAAAQQQQAABSwUI9pbyUjgCCCCAAAIIIIAAAvYIEOztcaYWBBBAAAEEEEAAAQQsFSDYW8pL4QgggAACCCCAAAII2CNAsLfHmVoQQAABBBBAAAEEELBUgGBvKS+FI4AAAggggAACCCBgjwDB3h5nakEAAQQQQAABBBBAwFIBgr2lvBSOAAIIIIAAAggggIA9AgR7e5ypBQEEEEAAAQQQQAABSwUI9pbyUjgCCCCAAAIIIIAAAvYIEOztcaYWBBBAAAEEEEAAAQQsFSDYW8pL4QgggAACCCCAAAII2CNAsLfHmVoQQAABBBBAAAEEELBUgGBvKS+FI4AAAggggAACCCBgjwDB3h5nakEAAQQQQAABBBBAwFIBgr2lvBSOAAIIIIAAAggggIA9AgR7e5ypBQEEEEAAAQQQQAABSwUI9pbyUjgCCCCAAAIIIIAAAvYIEOztcaYWBBBAAAEEEEAAAQQsFSDYW8pL4QgggAACCCCAAAII2CNAsLfHmVoQQAABBBBAAAEEELBUgGBvKS+FI4AAAggggAACCCBgjwDB3h5nakEAAQQQQAABBBBAwFIBgr2lvBSOAAIIIIAAAggggIA9AgR7e5ypBQEEEEAAAQQQQAABSwUI9pbyUjgCCCCAAAIIIIAAAvYIEOztcaYWBBBAAAEEEEAAAQQsFSDYW8pL4QgggAACCCCAAAII2CNAsLfHmVoQQAABBBBAAAEEELBUgGBvKS+FI4AAAggggAACCCBgjwDB3h5nakEAAQQQQAABBBBAwFIBgr2lvBSOAAIIIIAAAggggIA9AgR7e5ypBQEEEEAAAQQQQAABSwUI9pbyUjgCCCCAAAIIIIAAAvYINJ1gH7igDaPcciQkNvBfM3Vf8J2u2ePacC3+/ZrTPFGDXzuryob3sm1LoOio3l/wgnYVBUzX6d/9sJIThmvDn+Z/x3Thdu/o361H3Yka+dafuhl6U3u8/Afnqr1rqNadjYfZdGODV7tPN1ZK3d9qUvO0bvfqfaTi90/11NAOSnM4lNz9GX13Iwe8WseoWI7+/bPVKmGg1v5m9xz068CsdDkGvK6bePrXO448iAACCNyoQJML9t4hq3Ta7teXG9WPg98r3jpJPtdYbSowH2tjvdDHQbfMN+EmC/a1x6spBPvafTI/eNffs0nN0+t3NbzVrx8WdZen9TRt/6NM5WXlf8viwa3naAqbnRBAAIG4FCDYx+Ww2NeoGwlVTeqFnmBv32RroKYbmYMNFBX1cJOap1E9a+hOub5+tLV8A17WrxUN7dP4x289x8Yb8RsIIIBAvAjcgsG+UF882E6u9Kn69K+qYSjW3ic7ypVxv3ZeCshYBXXfozdzlmlSz5ZKdqer27DH9NYPhVErYJUX9mvNg3eoe7pHPm+Geo+epy0/F1cVKv/eWWrtzdbi57PVPcWtFl1maldB9Kk4/gNz1NY3Xes+WaLJvVrJ5/Co7e1TtPLAnzq941lld28hn8OnTsPn6bNz/uqypUrl71ulR4Z2VWu3W6mte2rcvM36pbp6vw7OzVDy1HX64oWp6t82WV5XunqOXqhPT5dLCqhg41j5qk9dcmroKyeN8kuOb9ezkweoa3OvPA6v2nQfoSffOaor4UX9WC/0N96nEh3f/ozu6d9JrTxOeTyt1PPOmdp49Er1aTKBoh+1/uHh6t7cLY8rTZl9Jmj+e8dU1e1Y2yMAQzfrCfb+89/qlRmD1cXXTA5XS/UePV/bjpcY+1f890UNcLbSo7tKw0UFdPGdMUpObKlHPq957MJbo5TS6iHtuhrcLfZY7XuyhVKzn9OL2V2U7kpT95mf63K4htCP+sfLmKvOvpqzZqmm9m2nNJdHrbuP0oIPTqos4vdjjumBuWrnnqb1u17Q9GA5TrdadR+jRZ+cVnC2NPwv9phJFbq4/3XNvLO7WrmS5EnN1ND7VmjPn9fqnYP+bx9TWtIIvRN5qpf/Kz3kaqax7xZUNyVmn2KdMuY/oHmtkzXjjU+0bOLtauNyKrl1b92z4oD+PP2ZFo+7Ta1dTqV2GK75OedU8+yL3edY8zDW9upORt7wn9eelfdraMdkuRLcyugxRgu2HpcxM/1H9a9ejojTEN0avf5C9fMmshhdr5zgjv/TqTixjjtRLYm6U5G/X2sfG6Eezd1yOtLUZdAMrfz2z5C7f5/mpPs06dkXNKlzqnypXfXk5wW1TsUJqOjHdXpseFe1cjnlS+2g/uPnafOx8NHBf1BPZXg0de0OLc/upQy3R606DdPM9T+osPpT3hhlqEK5S7vJ4Zikj69ENZ87CCCAQFwI3ILBXgoU7ND9GS71XpZrnHPvP/6S+rsyNP2Ti8YLoRGWEprJ22a0Xj1wXleKzuirZwephe8Orf01/PJefEiLs3xq0X+ePv75oor/+kUfzsxSautsvRc+19QI9gmJaj3hLeVdvqIzR0/ocu0XzWCwT0iUr9cs7Th5ReXFeVo/OlUOd6oyRzyvfedKVHbpOy0f6FbqxA+qJ03xoefUz5umQfM+0i8Xi/XXLx9oVm+f2ma/Gz7fNPQC60j0qu/j23SsoFRlF7/XyuGp8vZ7VafCL2S1V0sDhTv1aDuv+szK0cmicl0rPqdDq8arnbOnlvwn1HdTwb7RfQqocOfDyvT01pycX3W5/JqKzx3UmnEZ8vZYrJ+Mqgu1Y2pLZYxdq9zCclX6i3V21xz1dnXR4h+DO8TaXs1Xc6N2sC/6RrMyk9Rh0jr9J79M166c0q6FA5Tiu1PrTvol/w9a3N2tXot+CAe9Uu16sJWcCQ71XvxT+LEr+mRqc7W450MjnJsZq2CwdyS00KT1ebp85YxyTxTVtDHiVu3xCs3VRHm6PaQtxy6prLxQR1aPUkvnP/TKidAgmxrTYLBPSFJK78e1PbdApWUX9f1Ldyrd2V+rT1annoiWBG+aGTPp6qGF6unI0MQ1h5Vf5ldZQa42TW0vb5+VyquU6vTJRLA31SdTwT5RDtftmpNzUlfKi5W3bozSEzxKbz9SL+w9p5KySzq8bKB83kn60FgIMNPnWPMw1vZazMbdIu2e2UnONpO1/sd8lV27olOfL9QgT7JGvnEyPO+CK/at5Bt4vRV7E+XUPkbFcIw+x97ccadOD68e0qLuTrUd/5oOXyiTv6xAuRunKtPZVy8HJ4kR7BPlSM/W23mXdeVMrn4tqnWOfWGO7mvRUhPW5qqwvFL+4rP6YnZP+To/K+PQZQT7RLmcbTX25QM6f6VIZ758TkNTkzX8tV9DhrHKqNNwHkAAAQTiS6DJBfsGvzzrGKRVJ6s+nw7o4kf3qm3qaG3M+0Vv/jNNbSZ/oPyqFengFxIT03RP6JU8NGIVJ/VqP5faP7nPWIE9v2GM0lyD9MqJqjIlle3X051d6vbUAeN3QsG+hWbtiVjzrP2iaQT7ZM3YUbXmLBVty5YnoZuWHa0qu1JnXx8sT+t5obZUntfG0cl1XsDL9j+l7s7OWnAgWF/4BTb1AX1hrBqHfrU0Z5qSnWP0fvic+uhQFVDBu9lKTZmsbX9FnHNf+rGm+9y6a935UL9ivdDfSJ8CBXp/gk/pk7YquuqpSnON1PrzAaniJy3u5Fb/FSdUJRPqVfj/sbZH7Ry+ExXsK3V6zQA5U2doZ+RyecWverlPolo8sEtSufbN6iDfHWtkvH/z/6jFPdLVu1dHpfxzvYxF5vJvNaddsiZszFfA5FgZwT79Ce2NmCr1NTd6vBT6dCkxTQ/srJk/KvtCD6W4NWHzpdAnM2bG1Aj2aXoo9BFDqOrSHbrP7dK4iFXyqDaZGTNd0pZxbvnGbVZDX+Oo06eYwf7vmacyVuwTlTbts+pPfFS0TZMcibptSW71HKv8ba2GOjI0/6A/uCrwfzJPK0+v0aDgOO+Impg6uaKvHMHnuLFsHzvYmyqn9jEq1vM96suz5o47UfNI0qXN4+VzjdeWhiZJONi3nrkn4hOk6GBf8dNz6ubqq5V59R4dgk8WPZWRpPTJH6n6w1pV6NTL/eXNmKV9ZcFDTIwyajec+wgggECcCTS5YG/6y7OBC/pgUku5EpPkaJ6tLedrViWNVVDXaL1/MSLcqkI/Luwob+8XJJVqx31p8vRYoiPhBfzQuJZqx/Q0efuvMO4awd4xUK9Ffpu39otmMAQn9dHK4KpU+F/ZZ9PldYzX1sKqRwK6uPEueVIfDz1QmqMHUp0RK8Th/UpzdH+qS4NW5FUHe0/E6nxwL/++Ocpw3qH150L11Q5VRknl+Tr25VatX7lE8x+arBG3tZQvwaVhq88Ym02t2De2T+EulOfn6uut6/TKknl6dNIw3d7CLYdzqNacCba3RPtmd5LL1VF3PfGytu/N06WoIBxre7iSyB9Rwf6yPsxuJufYLaqmN/at0NHnOsvR4RnjXsnOB9UmZYq2F0mVZ9dqZMporV6drdT0B7SzVPIfWaos73C9EbxUh8mxCgZ7z4A1Mb/4XXu8Qqfi9Nerkavq/u+0oK1bd6w9W9PTWGMaDPaOWqvz/v2a28Kl4evO1ZRTz63rjpl/j55ITdLg1aejTmOLLKZOn2IG+/Bvx+pTjEAaCvbN1O+lEzVtK/tMM5xOZW+pmQGB/I0a7UjTE3tqnuzX7bMF8/Ty9my5EsdFHBNCBhVHF6tbQkc9+2MwzMYO9qbKqX2MiuFY34p9rONO5PgHFyH2Pp4m54DVDc9/I9g7NXhN5DyKDvYq2ae5mc3k6zBSs1du0768SxFvAoIHv2Cwd2vsu6FPZqvaUPHDQnVyZuml/1YqZhlVv8RPBBBAIE4Fbt1gL+lyznS1SEhU2sTtCq5tVv0zwpJnhr6ICo2VynsxS972TxurdhtHN3xpTVen+UZRRrB3DtNbf0S8Qaj9ohkM9o4hejPiem2hYJ+tD6rPxgjo4qZR1cE+UPCOxrkavqxnt6cOVgd77+C1+r3mPYP8++eojXOo1oUfrB2qKv/I0azbU+ROydSQcffrqeXrlHPgTd2b7NKwVadD/Yr1Qn8DfQqeh/5HzhPqk+xQeseByp4xV8+v+1QH37xbzYPBvurN0bULOrj+ad0zoL1Sgt8P8HXW6LlblVd1enus7VWDXPUzMtgHzmn90ER5ZuyqdVnUSp1a1V8O32PGbwWKtuve1HaatbtMVz68V637vaiff16hQa4eWvxjmX5bM0yp/VcouHBodqyCwd47bL0ip0pVEyN/1h6v0JvQWpe7DAf7oa/9ZvyqqTENBntn9DwMnms9r6VLw974PbIJEbdNjFnpp5rqSNKYTdFhKqKQGzoVx1SfYszTULB3Gm+Aqp8i4WA/KfiuLfwvkL9JY6qDvYk+B38v1jyMtb2qcuNnQOfW3SGH4359UevylZWnVmlgQrJm7g6+6YgV7E2WU/sYFcOxvmAf67gT1T2VKudup5x3bVLUWkrkTkawd2nE+j8ivjdQK9gb7Af09vwpGtzOa3zfIK3TXXpqa56Mw4MR7L16YFfUgV2VeS+qr7ODFhwOvXG7duE6ZUS2idsIIIBAHArcusG+5KAWdHMquXm6kpMyNWt3zUfcobAUGayDI+fX9/M7GOcFS1f18b3J8g5dI2MhuYGBtSrY6+pHmuZzafiaMzUrjXXaEPpIPNYLbHRQLNPeWR3lbjlZ7/9eszqpy5s12WVxsC/bozkdHGoz6T1Ffkf48uaJ8kUG+4h+Xis8ob1vPaK+7ma67bkj4fOMa3aItd3YMzLY67I+mFD/iv2RRZ2qV+wVuKB3Rqeoz7Lv9e2cTuoyZ5/Krx3Woq4ejXz9J707Ia3m0xSTY2VdsDc5pjcS7M2MmX+PZjZ2xX7PY0pPGq63I9/llO7QNEdS+MuzJvsUI5DeULA30+eaKWjcijUPY20PFtLgSvtPz6rr37FiH1mO7cHer72PmVmxjx3sa+ivqTBvjzY8nKXkpG5aEvxoNbxiH/mmLbi///DToXP5f61+excupp4yairgFgIIIBCXArdosC/V98/cJo9vhNbl/aLXh3jl6jxH+8JXOTCCfVIbPflt1TKwpIoTWtnHpa4LvzfOsf/t9TuVnDxOG4Pnflf9q8jTygFupU/aYjxiWbCv/E1vDPeo+dh3FF39Cg12penuLcErh5gL9le3311zHftAvt4Z5TbesET+rZnSPbPVOanmqjmmTsVp7KcQ+Rs01hV8s/JbxJuVUuONhssxWKsiTzWp8g7+DOTr3btcSp6ao4ivEtTsEWt7VLCv1KnVwXPs76t1jv0JrcxKVOq0z8LlVur06qFK/cc0Tb8tXdM+DL4pLNWXj2QobdAoDU/tpPn7w6uCJsfKbLCPGq/gKNf3B6oiV+zNjukNBPuAmTELFGjLWLeSs7dFnNdcMzzBW7X7VPH9QmUm3q4Xj9cErYqf/63eCeFgb7ZPFgR7U32O7l7oXqx5GGN75anVxjn299c6x/7XFX3k8E7XTuPYFWvFXjJVju3BPqCC98fJ587W9pqT36MVTa7YR/9S8PCwSWOcHk3PuRoO9s3Ufua3oRV8Y+cKnXipr7yZC/V9rU9DqsqKKqPqQX4igAACcSpwSwb70h8XK8vp04jXQ1eTuJb3ioa6m6nH04eMcGiEpYREebs9qC3H/lJJ0Sl9vnCA0ltM0JbwuemBwq81p7tbbYYv0WfHC1RcdEpfLxmmVp4+Wno4FDEtC/bBq5F8PVs9Xa01cvEOHS8o1uVTX2nZsHSlZC1RqHpzwb78y8fUxtlXy38q0MWLRTqy9HZ5vQP13DfndLX8is4e2qBHenrkSHCq3/JjxjS2ItjLf0T/6uVS6oBF2n3uqsqvnNV3Gx5Sb3eiHI4+ev5YhXR1j2a382rgwq905vI1VVaW6vzepRrqS9eU7fkKxNpe35MwKthLKvpaT3QMXhVnvXFVHH/x6dBVcdwD9covNa/8Fcf+rX84kuRw3ak3jdOaAircOlnNExLlbP2Yvqp+T2hurMwG++jxKokd7OU3N6Y3EOxNjVkwuB9epN7Odrr37aO6VF6h8uBzZVF/+do8rm+Lpdp9UvGXejg9UV0e/FinS8pV8ts3Wj6shVwJVZe7NNknC4K9qT7Hmoexttc3T1Wkrx/PNK6K81bwqjj+Yp02rorj0ZCVv4RPHYsd7GWmHNuDvTFJ9FwPlzpO2aCjl8pVUV6kU18u0kBXWz2xuzh8VZzrr9hf3fOkMj39tejLM7p8rVKVpee1b+lgpTWfpA+CV0YwVuwT5XB218Obj+mvkiKd2rlQg1JbauL754wFhZhl1Ds2PIgAAgjEj0CTC/YNXhUnIVGef7yo/5Yc0fIst1KGrFHVlSulazq+YqCSHb20+IfSUFhyZunx5XM0qkuafJ4MZY1bqA/zoteE/ee+1sr7hqhb+JrqnQZM04pvzldfTcO6YB+cQH6d++olPTC4c/iazR01eOqL2n2+6ooQ5oK9ir/Xy6M6KrWZS13n7ZdKcrXxkSHqnOqS29VcnftN0jMbc/TCcI/SJ242Zq4lwT741djcd/T44I5KdzrkS+uogRMXaFPO8xrpTtWUzaHrl5cc36IF4/ooM9Utl8Ondr1Ga+7Go7oc/uAk1vY6T73awT4oe363Vk4fqExvkpzuDPUZ97S25Na6aPW17/RMl2Zy96z5AnXl729opCtJLad9oui9Y4+V2WBfe7xirtgHO2xmTG8k2JscM+M69vte1YMDOygtKVEuX3sNmrJMn50KX2m/9hwMvnE9vEYP9G+r5CSXWnYbpQVbP9WyrOAXH8PXsTfTJyuCvck+x5qHsbbXmafBB/zn9e1L92lwO5+cicG/dzFeC97PjZhrZoK9iXL+L4J98EPR/P1aPWOQMoN/PyIpWZn979bynFOhv8dgasW+RMe3zFd2Vnulu5rJ481Q1ug52nT0cui8fCPYu/SPR/+tuSO7qoXLq7a9xmvR9ryIT/tilMF17OudmjyIAALxI9B0gv3faFpvWPoby6coBBBAAAGbBcLn2A9742zE6X42t4HqEEAAAYsFCPb1ABPs60HhIQQQQOBmFiDY38yjR9sRQMCkAMG+HiiCfT0oPIQAAgjczAIE+5t59Gg7AgiYFCDYm4RiNwQQQAABBBBAAAEE4lmAYB/Po0PbEEAAAQQQQAABBBAwKUCwNwnFbggggAACCCCAAAIIxLMAwT6eR4e2IYAAAggggAACCCBgUoBgbxKK3RBAAAEEEEAAAQQQiGcBgn08jw5tQwABBBBAAAEEEEDApADB3iQUuyGAAAIIIIAAAgggEM8CBPt4Hh3ahgACCCCAAAIIIICASQGCvUkodkMAAQQQQAABBBBAIJ4FCPbxPDq0DQEEEEAAAQQQQAABkwIEe5NQ7IYAAggggAACCCCAQDwLEOzjeXRoGwIIIIAAAggggAACJgUI9iah2A0BBBBAAAEEEEAAgXgWINjH8+jQNgQQQAABBBBAAAEETAoQ7E1CsRsCCCCAAAIIIIAAAvEsQLCP59GhbQgggAACCCCAAAIImBQg2JuEYjcEEEAAAQQQQAABBOJZgGAfz6ND2xBAAAEEEEAAAQQQMClAsDcJxW4IIIAAAggggAACCMSzAME+nkeHtiGAAAIIIIAAAgggYFKAYG8Sit0QQAABBBBAAAEEEIhnAYJ9PI8ObUMAAQQQQAABBBBAwKQAwd4kFLshgAACCCCAAAIIIBDPAgT7eB4d2oYAAggggAACCCCAgEkBgr1JKHZDAAEEEEAAAQQQQCCeBQj28Tw6tA0BBBBAAAEEEEAAAZMCTTTYVyh3aTc5HNnaXtSQBPvgw9yoK8DzgudF3VkReoS5wdxgbtQV4Hlxaz4v6s6EeHmkiQb7eOGlHQgggAACCCCAAAII2CNAsLfHmVoQQAABBBBAAAEEELBUgGBvKS+FI4AAAggggAACCCBgjwDB3h5nakEAAQQQQAABBBBAwFIBgr2lvBSOAAIIIIAAAggggIA9AgR7e5ypBQEEEEAAAQQQQAABSwUI9pbyUjgCCCCAAAIIIIAAAvYIEOztcaYWBBBAAAEEEEAAAQQsFSDYW8pL4QgggAACCCCAAAII2CNAsLfHmVoQQAABBBBAAAEEELBUgGBvKS+FI4AAAggggAACCCBgjwDB3h5nakEAAQQQQAABBBBAwFIBgr2lvBSOAAIIIIAAAggggIA9AgR7e5ypBQEEEEAAAQQQQAABSwUI9pbyUjgCCCCAAAIIIIAAAvYIEOztcaYWBBBAAAEEEEAAAQQsFSDYW8pL4QgggAACCCCAAAII2CNAsLfHmVoQQAABBBBAAAEEELBUgGBvKS+FI4AAAggggAACCCBgjwDB3h5nakEAAQQQQAABBBBAwFIBgr2lvBSOAAIIIIAAAggggIA9AgR7e5ypBQEEEEAAAQQQQAABSwUI9pbyUjgCCCCAAAIIIIAAAvYIEOztcaYWBBBAAAEEEEAAAQQsFSDYW8pL4QgggAACCCCAAAII2CNAsLfHmVoQQAABBBBAAAEEELBUgGBvKS+FI4AAAggggAACCCBgjwDB3h5nakEAAQQQQAABBBBAwFIBgr2lvBSOAAIIIIAAAggggIA9Ak002Fcod2k3ORzZ2l7UECT74MPcqCvA84LnRd1ZEXqEucHcYG7UFeB5cWs+L+rOhHh5pIkG+3jhpR0IIIAAAggggAACCNgjQLC3x5laEEAAAQQQQAABBBCwVIBgbykvhSOAAAIIIIAAAgggYI8Awd4eZ2pBAAEEEEAAAQQQQMBSAYK9pbwUjgACCCCAAAIIIICAPQIEe3ucqQUBBBBAAAEEEEAAAUsFCPaW8lI4AggggAACCCCAAAL2CBDs7XGmFgQQQAABBBBAAAEELBUg2FvKS+EIIIAAAggggAACCNgjQLC3x5laEEAAAQQQQAABBBCwVIBgbykvhSOAAAIIIIAAAgggYI8Awd4eZ2pBAAEEEEAAAQQQQMBSAYK9pbwUjgACCCCAAAIIIICAPQIEe3ucqQUBBBBAAAEEEEAAAUsFCPaW8lI4AggggAACCCCAAAL2CBDs7XGmFgQQQAABBBBAAAEELBUg2FvKS+EIIIAAAggggAACCNgjQLC3x5laEEAAAQQQQAABBBCwVIBgbykvhSOAAAIIIIAAAgggYI8Awd4eZ2pBAAEEEEAAAQQQQMBSAYK9pbwUjgACCCCAAAIIIICAPQIEe3ucqQUBBBBAAAEEEEAAAUsFCPaW8lI4AggggAACCCCAAAL2CBDs7XGmFgQQQAABBBBAAAEELBUg2FvKS+EIIIAAAggggAACCNgjQLC3x5laEEAAAQQQQAABBBCwVIBgbykvhSOAAAIIIIAAAgggYI8Awd4eZ2pBAAEEEEAAAQQQQMBSAYK9pbwUjgACCCCAAAIIIICAPQJNNNhXKHdpNzkc2dpe1BAk++DD3KgrwPOC50XdWRF6hLnB3GBu1BXgeXFrPi/qzoR4eaSJBvt44aUdCCCAAAIIIIAAAgjYI0Cwt8eZWhBAAAEEEEAAAQQQsFSAYG8pL4UjgAACCCCAAAIIIGCPAMHeHmdqQQABBBBAAAEEEEDAUgGCvaW8FI4AAggggAACCCCAgD0CBHt7nKkFAQQQQAABBBBAAAFLBQj2lvJSOAIIIIAAAggggAAC9ggQ7O1xphYEEEAAAQQQQAABBCwVINhbykvhCCCAAAIIIIAAAgjYI0Cwt8eZWhBAAAEEEEAAAQQQsFSAYG8pL4UjTd7Y/AAAAilJREFUgAACCCCAAAIIIGCPAMHeHmdqQQABBBBAAAEEEEDAUgGCvaW8FI4AAggggAACCCCAgD0CBHt7nKkFAQQQQAABBBBAAAFLBQj2lvJSOAIIIIAAAggggAAC9ggQ7O1xphYEEEAAAQQQQAABBCwVINhbykvhCCCAAAIIIIAAAgjYI0Cwt8eZWhBAAAEEEEAAAQQQsFSAYG8pL4UjgAACCCCAAAIIIGCPAMHeHmdqQQABBBBAAAEEEEDAUgGCvaW8FI4AAggggAACCCCAgD0CBHt7nKkFAQQQQAABBBBAAAFLBQj2lvJSOAIIIIAAAggggAAC9ggQ7O1xphYEEEAAAQQQQAABBCwVINhbykvhCCCAAAIIIIAAAgjYI0Cwt8eZWhBAAAEEEEAAAQQQsFSAYG8pL4UjgAACCCCAAAIIIGCPAMHeHmdqQQABBBBAAAEEEEDAUgGCvaW8FI4AAggggAACCCCAgD0C1w32y5cu08xHH9Mbr6/lPwyYA8wB5gBzgDnAHGAOMAeYA3E8B8aPGatvd++Oehfx/6ru7du7T3Nnz+E/DJgDzAHmAHOAOcAcYA4wB5gDN8EcyL9woSrKGz+rg33Uo9xBAAEEEEAAAQQQQACBm0qAYH9TDReNRQABBBBAAAEEEECgfgGCff0uPIoAAggggAACCCCAwE0lQLC/qYaLxiKAAAIIIIAAAgggUL8Awb5+Fx5FAAEEEEAAAQQQQOCmEvj/Tw895vhwE+kAAAAASUVORK5CYII=\" width=\"672\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>oil is non-polar «and dissolves best in non-polar solvents» <br/><em><strong>OR</strong></em> <br/>oil does not dissolve in polar solvents ✔</p>\n<p><em>Do <strong>not</strong> accept “like dissolves like” only.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>solvent/oil is flammable<br/><em><strong>OR</strong></em><br/>solvent/oil must be kept below its flash point<br/><em><strong>OR</strong></em><br/>oxidation/decomposition of oil<br/><em><strong>OR</strong></em><br/>mixture has a low boiling point ✔</p>\n<p><em>Accept “to prevent evaporation of oil”.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>distillation «instead of evaporation» ✔</p>\n<p><em>Accept “pass vapour through a condenser and collect liquid”.</em></p>\n<p><em>Do <strong>not</strong> accept “condensation” without experimental details.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Experimental mass greater than actual mass of oil in crisps:</em><br/>other substances «in the crisps» are soluble in the solvent<br/><em><strong>OR</strong></em><br/>not all the solvent evaporates ✔</p>\n<p><em>Experimental mass less than actual mass of oil in crisps:</em><br/>not all oil dissolved/extracted ✔</p>\n<p><em>Accept “oil evaporated” <strong>OR</strong> “oil burned/decomposed” <strong>OR</strong> “oil absorbed by the filter” <strong>OR</strong> “assumption «all oil dissolved» was wrong” for M2.</em></p>\n<p><em>Do <strong>not</strong> accept examples of human errors <strong>OR</strong> faulty apparatus.</em></p>\n<div class=\"question_part_label\">d.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>A well answered question where replies used all the alternatives provided. Very few candidates limited their answer to \"like dissolves like\" and while this expression was used most student elaborated with higher quality answer. Some common incorrect responses included students talking about dissolving the crisps (chips) or indicating the oil was a polar compound.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Another correctly answered question. As accepted by notes many candidates scored by stating \"to prevent evaporation of oil\". This resulted in the same argument scoring twice as often used for 1d as well. Some students incorrectly indicated the problem was to prevent the evaporation of the solvent which was the point of this step in the experiment. This could indicate a general lack of understanding of experimental methods.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A bit disappointing as the number of correct answers were substantially lower than expected. Many students responded using a fume hood or other method to remove the solvent. Once again this indicates a general misunderstanding about experimental methods.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Even weak candidates scored at least one point and often both. One common pitfall was to invert the arguments or provide answers excluded by the stem. A frequent incorrect answer was identification of faulty apparatus and human error which was specifically excluded in the question.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
    "topics": [
      "tools"
    ],
    "subtopics": [
      "tool-1-experimental-techniques",
      "tool-3-mathematics"
    ]
  },
  {
    "question_id": "20N.1B.SL.TZ0.18",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span class=\"fontstyle0\">\n    The vapour pressure of pure ethanal at\n   </span>\n   <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mn>\n     20\n    </mn>\n    <mo>\n     °\n    </mo>\n    <mi mathvariant=\"normal\">\n     C\n    </mi>\n   </math>\n   <span class=\"fontstyle0\">\n    is\n    <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mn>\n      101\n     </mn>\n     <mo>\n     </mo>\n     <mi>\n      kPa\n     </mi>\n    </math>\n    .\n   </span>\n  </p>\n  <p>\n   <span class=\"fontstyle0\">\n    Calculate the vapour pressure of ethanal above the liquid mixture at\n    <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mn>\n      20\n     </mn>\n     <mo>\n      °\n     </mo>\n     <mi mathvariant=\"normal\">\n      C\n     </mi>\n    </math>\n   </span>\n   <span class=\"fontstyle0\">\n    .\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span class=\"fontstyle0\">\n    Describe how this mixture is separated by fractional distillation.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a(ii))\n </div><div class=\"card-body\">\n <p>\n  <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    «\n   </mo>\n   <msub>\n    <mi mathvariant=\"normal\">\n     ρ\n    </mi>\n    <mi>\n     ethanal\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    250\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    101\n   </mn>\n   <mo>\n    =\n   </mo>\n   <mo>\n    »\n   </mo>\n   <mn>\n    25\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    3\n   </mn>\n   <mo>\n    «\n   </mo>\n   <mi>\n    kPa\n   </mi>\n   <mo>\n    »\n   </mo>\n  </math>\n  ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Any two of:\n  </em>\n  <br/>\n  continuous evaporation and condensation\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  increased surface area in column helps condensation ✔\n  <br/>\n  <em>\n   Accept “glass «beads» aid condensation «in fractionating column»”.\n  </em>\n </p>\n <p>\n  temperature decreases up the fractionating column ✔\n </p>\n <p>\n  liquids condense at different heights\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  liquid of lowest boiling point collected first\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  liquid with weakest intermolecular forces collected first\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  most volatile component collected first\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  fractions/liquids collected in order of boiling point/volatility ✔\n  <br/>\n  <em>\n   Accept “liquids collected in order of molar mass”.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a(ii))\n </div><div class=\"card-body\">\n <p>\n  This question involving Raoult's Law was very well answered and most were able to calculate the mole fraction of ethanal in the mixture (0.250) and the corresponding vapour pressure of ethanal above the liquid mixture at 20 °C (25.3 kPa). There was one G2 comment on this question. One teacher stated that the diagram shows four fractions but the stem of the question specifically states only three components and hence the fourth test tube is not required. The teacher commented that some students may have been distracted by this.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  In this question candidates were required to describe how the mixture can be separated by fractional distillation. Only the better candidates scored both marks, though most gained at least one mark, usually for stating that the most volatile component is collected first. Many did not convey the idea that there is continuous evaporation and condensation in the process or the fact that the temperature decreases up the fractionating column.\n </p>\n</div>\n",
    "topics": [
      "structure-1-models-of-the-particulate-nature-of-matter",
      "tools"
    ],
    "subtopics": [
      "structure-1-5-ideal-gases",
      "tool-1-experimental-techniques"
    ]
  },
  {
    "question_id": "20N.3.SL.TZ0.2",
    "Question": "<div class=\"specification\">\n<p><span class=\"fontstyle0\">An investigation was carried out to determine the effect of chain length of the alcohol on the equilibrium constant, </span><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>K</mi><mi mathvariant=\"normal\">c</mi></msub></math><span class=\"fontstyle0\">, for the reversible reaction:</span></p>\n<p style=\"text-align: center;\"><span class=\"fontstyle0\"><math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>ROH</mi><mo>+</mo><msub><mi>CH</mi><mn>3</mn></msub><mi>COOH</mi><mover><mo>⇌</mo><mrow><msup><mi mathvariant=\"normal\">H</mi><mo>+</mo></msup><mfenced><mi>aq</mi></mfenced><mo> </mo></mrow></mover><msub><mi>CH</mi><mn>3</mn></msub><mi>COOR</mi><mo>+</mo><msub><mi mathvariant=\"normal\">H</mi><mn>2</mn></msub><mi mathvariant=\"normal\">O</mi></math></span></p>\n<p><span class=\"fontstyle0\">The reactants, products and the catalyst form a homogeneous mixture.</span></p>\n<p><span class=\"fontstyle0\">Fixed volumes of each alcohol, the ethanoic acid and the sulfuric acid catalyst were placed in sealed conical flasks.</span></p>\n<p><span class=\"fontstyle0\">At equilibrium, the flasks were placed in an ice bath, and samples of each flask titrated with <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>NaOH</mi><mo> </mo><mo>(</mo><mi>aq</mi><mo>)</mo></math></span><span class=\"fontstyle0\"> to determine the ethanoic acid concentration present in the equilibrium mixture.</span></p>\n<p><span class=\"fontstyle0\">The following processed results were obtained.</span></p>\n<p><span class=\"fontstyle0\"><img height=\"201\" src=\"data:image/png;base64,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\" style=\"display: block; margin-left: auto; margin-right: auto;\" width=\"529\"/></span></p>\n<p style=\"text-align: center;\"><span class=\"fontstyle0\"> © International Baccalaureate Organization 2020 <br/> </span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Identify the independent and dependent variables in this experiment.</span></p>\n<p><span class=\"fontstyle0\"><img height=\"222\" src=\"data:image/png;base64,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\" width=\"655\"/></span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">The ice bath is used at equilibrium to slow down the forward and reverse reactions. Explain why adding a large amount of water to the reaction mixture would also slow down </span><span class=\"fontstyle2\"><strong>both</strong> </span><span class=\"fontstyle0\">reactions.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Suggest why the titration must be conducted quickly even though a low temperature is maintained.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">An additional experiment was conducted in which only the sulfuric acid catalyst was titrated with <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>NaOH</mi><mo> </mo><mo>(</mo><mi>aq</mi><mo>)</mo></math></span><span class=\"fontstyle0\">. Outline why this experiment was necessary.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Calculate the percentage uncertainty and percentage error in the experimentally determined value of </span><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>K</mi><mi mathvariant=\"normal\">c</mi></msub></math> <span class=\"fontstyle0\">for methanol.</span></p>\n<p><img height=\"290\" src=\"data:image/png;base64,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\" width=\"709\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Comment on the magnitudes of random and systematic errors in this experiment using the answers in (e).</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Suggest a risk of using sulfuric acid as the catalyst.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">g.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Independent variable:</em><br/>chain length <em><strong>OR</strong></em> number of carbon «atoms in alcohol»<br/><em><strong>AND</strong></em><br/><em>Dependent variable:</em><br/>volume of <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>NaOH</mi></math> <em><strong>OR</strong></em> <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>K</mi><mi>c</mi></msub></math>/equilibrium constant <em><strong>OR</strong></em> <span style=\"text-decoration: underline;\">equilibrium</span> concentration/moles of <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>CH</mi><mn>3</mn></msub><mi>COOH</mi></math> ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>dilution/lower concentrations ✔</p>\n<p>less frequent collisions «per unit volume» ✔</p>\n<p><em>Accept “lowers concentration of acid catalyst” for M1. M2 must refer to increase in activation energy or different pathway.</em></p>\n<p><em>Do <strong>not</strong> accept responses referring to equilibrium.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>equilibrium shifts to left<br/><em><strong>OR</strong></em><br/>more ethanoic acid is produced «as ethanoic acid is neutralized»<br/><em><strong>OR</strong></em><br/>prevents/slows down ester hydrolysis ✔</p>\n<p><em>Accept “prevents equilibrium shift” if described correctly without direction.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>to determine volume/moles of <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>NaOH</mi></math> used up by the catalyst/sulfuric acid «in the titration»<br/><em><strong>OR</strong></em><br/>to eliminate/reduce «systematic» error caused by acid catalyst ✔</p>\n<p><em><br/>Do not accept “control” <strong>OR</strong> “standard” alone.</em></p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Percentage uncertainty:</em><br/><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mfrac><mrow><mn>0</mn><mo>.</mo><mn>4</mn><mo>×</mo><mn>100</mn></mrow><mrow><mn>6</mn><mo>.</mo><mn>5</mn></mrow></mfrac><mo>=</mo><mo>»</mo><mn>6</mn><mo>«</mo><mo>%</mo><mo>»</mo></math> ✔</p>\n<p><em>Percentage error:</em><br/><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mfrac><mrow><mn>6</mn><mo>.</mo><mn>5</mn><mo>-</mo><mn>5</mn><mo>.</mo><mn>3</mn></mrow><mrow><mn>5</mn><mo>.</mo><mn>3</mn></mrow></mfrac><mo>=</mo><mo>»</mo><mn>23</mn><mo>«</mo><mo>%</mo><mo>»</mo></math> ✔</p>\n<p><em>Award <strong>[1 max]</strong> if calculations are reversed <strong>OR</strong> if incorrect alcohol is used.</em></p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Any two:</em></p>\n<p>large percentage error means large systematic error «in procedure» ✔</p>\n<p>small percentage uncertainty means small random errors ✔</p>\n<p>random errors smaller than systematic error ✔</p>\n<p><em><br/></em><em>Award <strong>[2]</strong> for “both random and systematic errors are significant.”</em></p>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>corrosive/burns/irritant/strong oxidizing agent/carcinogenic<br/><em><strong>OR</strong></em><br/>disposal is an environmental issue<br/><em><strong>OR</strong></em><br/>causes other side reactions/dehydration/decomposition ✔</p>\n<p><br/><em>Do <strong>not</strong> accept just “risk of accidents” <strong>OR</strong> “health risks” <strong>OR</strong> “hazardous”.</em></p>\n<div class=\"question_part_label\">g.</div>\n</div>",
    "Examiners report": "",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "tools"
    ],
    "subtopics": [
      "reactivity-2-3-how-far-the-extent-of-chemical-change",
      "reactivity-3-1-proton-transfer-reactions",
      "tool-1-experimental-techniques",
      "tool-3-mathematics"
    ]
  },
  {
    "question_id": "20N.2.HL.TZ0.7",
    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Nitrogen monoxide reacts with oxygen gas to form nitrogen dioxide.</span></p>\n<p><span class=\"fontstyle0\"> The following experimental data was obtained.<br/> </span></p>\n<p><span class=\"fontstyle0\"><img height=\"150\" src=\"data:image/png;base64,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\" width=\"463\"/></span></p>\n<p><span class=\"fontstyle0\"> Deduce the partial order of reaction with respect to nitrogen monoxide and oxygen.<br/> </span></p>\n<p><span class=\"fontstyle0\"><img height=\"148\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAvgAAADBCAYAAAC6yMSvAAASi0lEQVR4Ae3d+4+cZRUHcP6ULs7SssrFFhTaco8gJEKDaLEXAkJLJQgSIqEgIAURotxDKyD3itofCK1CuIgiLU0EpEKgUtqKhJsskrZsS7vbbo9ZaoDd6buQTTh533k+TTbZfd6Znuf5nDPJdyezM3uEfwQIECBAgAABAgQIdIzAHh1zEgchQIAAAQIECBAgQCAEfENAgAABAgQIECBAoIMEBPwOaqajECBAgAABAgQIEBgW8O9fvDgOnDgpvjbpAF8MzIAZMANmwAyYATNgBsxAjWdgKLevX7eu7TeaYQH/sksujZtvvDHe6+31xcAMmAEzYAbMgBkwA2bADNR4BmbPmBl/evzx0QP+FZdfHnfecUfbjSwQIECAAAECBAgQIFAvgdNPPS3+/MQTbZsa9gy+gN/mY4EAAQIECBAgQIBALQUE/Fq2xaYIECBAgAABAgQIjE1AwB+bm3sRIECAAAECBAgQqKWAgF/LttgUAQIECBAgQIAAgbEJCPhjc3MvAgQIECBAgAABArUUEPBr2RabIkCAAAECBAgQIDA2AQF/bG7uRYAAAQIECBAgQKCWAgJ+LdtiUwQIECBAgAABAgTGJiDgj83NvQgQIECAAAECBAjUUkDAr2VbbIoAAQIECBAgQIDA2AQE/LG5uRcBAgQIECBAgACBWgoI+LVsi00RIECAAAECBAgQGJuAgD82N/ciQIAAAQIECBAgUEsBAb+WbbEpAgQIECBAgAABAmMTEPDH5uZeBAgQIECAAAECBGopIODXsi02RYAAAQIECBAgQGBsAgL+2NzciwABAgQIECBAgEAtBTov4O/8T9w/vTta+8yJpb0729AHX7khjm4dHFc9v334tYHeePY3C2LeCVNj0vi9ome/KXHcrAvj1sfWRl/7fzP8vn4iQIAAAQIECBAgUBOBzg34Bx0a37n06dg8Anq3Ab/vhVg0ff/48pHnxt1PrY/3tw7Etk1vxT+W/jxmHjA+DjtnWbw54veBEf+tHwkQIECAAAECBAjUQqBjA37POb+LZefPjoWvDAyDbg/4m+KpH389uqdeHCs2tj9V37/+rpix9/j49m3rQsYfRukHAgQIECBAgACBGgp0bsD/0ROx9Y3FMffMJfHO4CfyIwP+4Fv3xvQ9x8epS3qjPd4P3a8/nrt8crQmzo+VW4d+3hGrrz0iWq258XDfJ/+v7wgQIECAAAECBAjUQaCjA35/9MdL182Ki/+y6WPrkQF/44Onx4Su4+OO1z71W8DHt971Tf/yC+Or4ybH1at2jLjiRwIECBAgQIAAAQL1EujwgB8RHzwZP5l5XbzUvwt+eMAfjFdvOuYzn40fXHtzHDuuO856aOQr+uvVTLshQIAAAQIECBAg0PkBPwbjnSXzYu7iN2PoOfqRAX/NDUdFq/usePTD6mEYXHNTfFPArwZyhQABAgQIECBAoDYCBQT8iBhYEwtnnR+PbRgZ8CM2PHBaTOg6Me55Y5SX6KwYeonO0FtreolObSbXRggQIECAAAECBHYrUEbAj4jNKy+L2Vc/H33/HP4++INv3xffa43+R7bPXzElWhMvjKc/+iPb3TpaJECAAAECBAgQIFALgWICfux8L5ad/f24bekvR3zQVV8sn39QdB98Qfx1Q/v76PSvuzNmTBgfJy7yNpm1mFibIECAAAECBAgQGFWgnIAfEdv/dXuccviUmNg14pNsNw990NV+8ZUjz4v7Vr4WG7dtj4Et78bLD18bpwx90NUPl/qgq1HHyEUCBAgQIECAAIG6CBQV8CO2xnMLDovWR6+nH/GxVQO98czin8bcb02O/Vt7Rs++B8dxs+fHrY+ti75hT+x7H/y6DK99ECBAgAABAgQItAt0XsBvP6MVAgQIECBAgAABAsUICPjFtNpBCRAgQIAAAQIEShAQ8EvosjMSIECAAAECBAgUIyDgF9NqByVAgAABAgQIEChBQMAvocvOSIAAAQIECBAgUIyAgF9Mqx2UAAECBAgQIECgBAEBv4QuOyMBAgQIECBAgEAxAgJ+Ma12UAIECBAgQIAAgRIEBPwSuuyMBAgQIECAAAECxQgI+MW02kEJECBAgAABAgRKEBDwS+iyMxIgQIAAAQIECBQjIOAX02oHJUCAAAECBAgQKEFAwC+hy85IgAABAgQIECBQjICAX0yrHZQAAQIECBAgQKAEAQG/hC47IwECBAgQIECAQDECAn4xrXZQAgQIECBAgACBEgQE/BK67IwECBAgQIAAAQLFCAj4xbTaQQkQIECAAAECBEoQEPBL6LIzEiBAgAABAgQIFCMg4BfTagclQIAAAQIECBAoQUDAL6HLzkiAAAECBAgQIFCMgIBfTKsdlAABAgQIECBAoAQBAb+ELjsjAQIECBAgQIBAMQICfjGtdlACBAgQIECAAIESBAT8ErrsjAQIECBAgAABAsUICPjFtNpBCRAgQIAAAQIEShAQ8EvosjMSIECAAAECBAgUIyDgF9NqByVAgAABAgQIEChBQMAvocvOSIAAAQIECBAgUIxAhwf8HbH62iOi1Tojlm2q6qnb8DEb7QIeFx4X7VOxa8VsmA2z0S7gcVHm46J9Euqy0uEBvy7M9kGAAAECBAgQIEAgR0DAz3FWhQABAgQIECBAgECKgICfwqwIAQIECBAgQIAAgRwBAT/HWRUCBAgQIECAAAECKQICfgqzIgQIECBAgAABAgRyBAT8HGdVCBAgQIAAAQIECKQICPgpzIoQIECAAAECBAgQyBEQ8HOcVSFAgAABAgQIECCQIiDgpzArQoAAAQIECBAgQCBHQMDPcVaFAAECBAgQIECAQIqAgJ/CrAgBAgQIECBAgACBHAEBP8dZFQIECBAgQIAAAQIpAgJ+CrMiBAgQIECAAAECBHIEBPwcZ1UIECBAgAABAgQIpAgI+CnMihAgQIAAAQIECBDIERDwc5xVIUCAAAECBAgQIJAiIOCnMCtCgAABAgQIECBAIEdAwM9xVoUAAQIECBAgQIBAioCAn8KsCAECBAgQIECAAIEcAQE/x1kVAgQIECBAgAABAikCAn4KsyIECBAgQIAAAQIEcgQE/BxnVQgQIECAAAECBAikCAj4KcyKECBAgAABAgQIEMgREPBznFUhQIAAAQIECBAgkCIg4KcwK0KAAAECBAgQIEAgR0DAz3FWhQABAgQIECBAgECKgICfwqwIAQIECBAgQIAAgRwBAT/HWRUCBAgQIECAAAECKQICfgqzIgQIECBAgAABAgRyBAT8HGdVCBAgQIAAAQIECKQICPgpzIoQIECAAAECBAgQyBEQ8HOcVSFAgAABAgQIECCQIiDgpzArQoAAAQIECBAgQCBHQMDPcVaFAAECBAgQIECAQIqAgJ/CrAgBAgQIECBAgACBHAEBP8dZFQIECBAgQIAAAQIpAgJ+CrMiBAgQIECAAAECBHIEBPwcZ1UIECBAgAABAgQIpAgI+CnMihAgQIAAAQIECBDIERDwc5xVIUCAAAECBAgQIJAiIOCnMCtCgAABAgQIECBAIEdAwM9xVoUAAQIECBAgQIBAioCAn8KsCAECBAgQIECAAIEcAQE/x1kVAgQIECBAgAABAikCAn4KsyIECBAgQIAAAQIEcgQE/BxnVQgQIECAAAECBAikCAj4KcyKECBAgAABAgQIEMgREPBznFUhQIAAAQIECBAgkCLQwQF/IHqfuT+unDMtDttvQuy91/5xyDGzY/6ix2Nt384UXEUIECBAgAABAgQIZAt0aMDvixcXnhyTxh8Z5935VKx/f2sMbNsUb69aGtecfGD0TDk3/vDG9mxr9QgQIECAAAECBAh84QIdGfA/ePKCmNx1SFyyfGO0PVffvz7unt4TPdNui3Uy/hc+YAoQIECAAAECBAjkCnRewB98K+476UvRM3tJvNeW7nfh9j+7IKaOmxQXP721WnvH6rj+8K6YMOeh6tu4QoAAAQIECBAgQKBmAp0X8Dc+GHNae8a021+LwSrs/uUxf5+umHrVqthRdRvrBAgQIECAAAECBBoo0HEBf/DVm+PYcd0x74991e0YXBu3HN0VE858KDZX38oVAgQIECBAgAABAo0T6LyA/8qNcfS4veLsRz6sbsbgmrj5GwJ+NZArBAgQIECAAAECTRXouIAfGx6I01t7xkl3vTnKS3RWxEVDL9G50kt0mjq49k2AAAECBAgQILB7gc4L+INvx+Lvdo/+R7bPXxmHjJsUF60Y5Y9sd+9llQABAgQIECBAgECtBTov4EdE31PzY0rX5LjwyQ27fZvMu6bvHT0n/GrX22Tu/G+s+MWMOLRnfOw7ZVbcuHI396l1C22OAAECBAgQIECAwCcCHRnwIzbHi7dMj4kTjorz71kZ/964LbYPbIl3X344rp859EFX58Sy/3/Q1Y61C2PGzEXx0oYt8e7yy+P46b+O1yvffucTON8RIECAAAECBAgQqKNAhwb8IeqB6P3b4lhwxvExdZ/u6N5rv5h6zOy4eNHjsa5v92+Qv7P3t3HmqffG20MB3/vg13Fe7YkAAQIECBAgQOAzBDo44H/GyUde3rY+fn/2rPjZik3tL+sZeVs/EyBAgAABAgQIEKipgIAfETs3rYrb5p0aCx59K7bXtFG2RYAAAQIECBAgQODzCAj4/a/GPT84Mxat8sz95xkYtyFAgAABAgQIEKi3QPEBf8tj58UBXV3RGrfra/yR18QLnsav99TaHQECBAgQIECAQKVA8QG/UsYFAgQIECBAgAABAg0UEPAb2DRbJkCAAAECBAgQIFAlIOBXyVgnQIAAAQIECBAg0EABAb+BTbNlAgQIECBAgAABAlUCAn6VjHUCBAgQIECAAAECDRQQ8BvYNFsmQIAAAQIECBAgUCUg4FfJWCdAgAABAgQIECDQQAEBv4FNs2UCBAgQIECAAAECVQICfpWMdQIECBAgQIAAAQINFBDwG9g0WyZAgAABAgQIECBQJSDgV8lYJ0CAAAECBAgQINBAAQG/gU2zZQIECBAgQIAAAQJVAgJ+lYx1AgQIECBAgAABAg0UEPAb2DRbJkCAAAECBAgQIFAlIOBXyVgnQIAAAQIECBAg0EABAb+BTbNlAgQIECBAgAABAlUCAn6VjHUCBAgQIECAAAECDRQQ8BvYNFsmQIAAAQIECBAgUCUg4FfJWCdAgAABAgQIECDQQAEBv4FNs2UCBAgQIECAAAECVQICfpWMdQIECBAgQIAAAQINFBDwG9g0WyZAgAABAgQIECBQJSDgV8lYJ0CAAAECBAgQINBAAQG/gU2zZQIECBAgQIAAAQJVAgJ+lYx1AgQIECBAgAABAg0U6PCAvyNWX3tEtFpnxLJNVd1xGz5mo13A48Ljon0qdq2YDbNhNtoFPC7KfFy0T0JdVjo84NeF2T4IECBAgAABAgQI5AgI+DnOqhAgQIAAAQIECBBIERDwU5gVIUCAAAECBAgQIJAjIODnOKtCgAABAgQIECBAIEVAwE9hVoQAAQIECBAgQIBAjoCAn+OsCgECBAgQIECAAIEUAQE/hVkRAgQIECBAgAABAjkCAn6OsyoECBAgQIAAAQIEUgQE/BRmRQgQIECAAAECBAjkCAj4Oc6qECBAgAABAgQIEEgREPBTmBUhQIAAAQIECBAgkCMg4Oc4q0KAAAECBAgQIEAgRUDAT2FWhAABAgQIECBAgECOgICf46wKAQIECBAgQIAAgRQBAT+FWRECBAgQIECAAAECOQICfo6zKgQIECBAgAABAgRSBAT8FGZFCBAgQIAAAQIECOQICPg5zqoQIECAAAECBAgQSBEQ8FOYFSFAgAABAgQIECCQIyDg5zirQoAAAQIECBAgQCBFQMBPYVaEAAECBAgQIECAQI6AgJ/jrAoBAgQIECBAgACBFAEBP4VZEQIECBAgQIAAAQI5AgJ+jrMqBAgQIECAAAECBFIEBPwUZkUIECBAgAABAgQI5AgI+DnOqhAgQIAAAQIECBBIERDwU5gVIUCAAAECBAgQIJAjIODnOKtCgAABAgQIECBAIEVAwE9hVoQAAQIECBAgQIBAjsDnCviLblkYM08+OebNmeuLgRkwA2bADJgBM2AGzIAZqPEMnHjCtPj7c8+1/Taxx6dXXn/99Xj0kUd8MTADZsAMmAEzYAbMgBkwAw2Ygc2bN386zn/0/bCA33bVAgECBAgQIECAAAECjRIQ8BvVLpslQIAAAQIECBAgMLqAgD+6j6sECBAgQIAAAQIEGiUg4DeqXTZLgAABAgQIECBAYHQBAX90H1cJECBAgAABAgQINEpAwG9Uu2yWAAECBAgQIECAwOgC/wN/hJ7BAUet6QAAAABJRU5ErkJggg==\" width=\"583\"/></span></p>\n<p> </p>\n<p> </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Nitrogen monoxide reacts with oxygen gas to form nitrogen dioxide.</span></p>\n<p><span class=\"fontstyle0\">Deduce, giving a reason, whether the following mechanism is possible.</span></p>\n<p><span class=\"fontstyle0\"><img height=\"67\" src=\"data:image/png;base64,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\" width=\"477\"/></span></p>\n<p> </p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>N</mi><mi>O</mi></math>: second ✔<br/><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>O</mi><mn>2</mn></msub></math>: first ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>not possible <em><strong>AND</strong> </em>«proposed» mechanism does not match experimental rate law<br/><em><strong>OR</strong></em><br/>not possible <em><strong>AND</strong> </em>«proposed» mechanism shows zero/not first order with respect to oxygen ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates could correctly deduce the order of each reactant from rate experimental rate data.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>60% of candidates could explain why the proposed reaction mechanism was inconsistent with the empirical data given.</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far"
    ],
    "subtopics": [
      "reactivity-2-2-how-fast-the-rate-of-chemical-change"
    ]
  },
  {
    "question_id": "20N.2.SL.TZ0.11",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span class=\"fontstyle0\">\n    Calculate the energy released, in\n    <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mi>\n      kJ\n     </mi>\n    </math>\n    , from the complete combustion of\n    <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mn>\n      5\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      00\n     </mn>\n     <mo>\n     </mo>\n     <msup>\n      <mi>\n       dm\n      </mi>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </math>\n   </span>\n   <span class=\"fontstyle0\">\n   </span>\n   <span class=\"fontstyle0\">\n    of ethanol.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span class=\"fontstyle0\">\n    Outline the advantages and disadvantages of using biodiesel instead of gasoline as fuel for a car. Exclude any discussion of cost.\n   </span>\n  </p>\n  <p>\n   <span class=\"fontstyle0\">\n    <img height=\"392\" 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\" width=\"694\"/>\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span class=\"fontstyle0\">\n    A mixture of gasoline and ethanol is often used as a fuel. Suggest an advantage of such a mixture over the use of pure gasoline. Exclude any discussion of cost.\n   </span>\n  </p>\n  <p>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (e(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span class=\"fontstyle0\">\n    Methane is another greenhouse gas. Contrast the reasons why methane and carbon dioxide are considered significant greenhouse gases.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    «\n   </mo>\n   <mn>\n    21\n   </mn>\n   <mo>\n   </mo>\n   <mn>\n    200\n   </mn>\n   <mo>\n   </mo>\n   <mi>\n    kJ\n   </mi>\n   <mo>\n   </mo>\n   <msup>\n    <mi>\n     dm\n    </mi>\n    <mrow>\n     <mo>\n      −\n     </mo>\n     <mn>\n      3\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    5\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    00\n   </mn>\n   <mo>\n   </mo>\n   <msup>\n    <mi>\n     dm\n    </mi>\n    <mn>\n     3\n    </mn>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <mo>\n    »\n   </mo>\n   <mn>\n    106000\n   </mn>\n   <mo>\n    /\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    06\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     5\n    </mn>\n   </msup>\n   <mo>\n    «\n   </mo>\n   <mi>\n    kJ\n   </mi>\n   <mo>\n    »\n   </mo>\n  </math>\n  ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Advantages:\n   <strong>\n    [2 max]\n   </strong>\n  </em>\n </p>\n <p>\n  renewable ✔\n </p>\n <p>\n  uses up waste «such as used cooking oil» ✔\n </p>\n <p>\n  lower carbon footprint/carbon neutral ✔\n </p>\n <p>\n  higher flashpoint ✔\n </p>\n <p>\n  produces less\n  <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     SO\n    </mi>\n    <mi mathvariant=\"normal\">\n     x\n    </mi>\n   </msub>\n  </math>\n  /\n  <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     SO\n    </mi>\n    <mn>\n     2\n    </mn>\n   </msub>\n  </math>\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  less polluting emissions ✔\n </p>\n <p>\n  has lubricating properties\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  preserves/increases lifespan of engine ✔\n </p>\n <p>\n  increases the life of the catalytic converter ✔\n </p>\n <p>\n  eliminates dependence on foreign suppliers ✔\n </p>\n <p>\n  does not require pipelines/infrastructure «to produce» ✔\n </p>\n <p>\n  relatively less destruction of habitat compared to obtaining petrochemicals ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept “higher energy density” OR “biodegradable” for advantage.\n  </em>\n </p>\n <p>\n  <br/>\n  <em>\n   Disadvantages:\n   <strong>\n    [2 max]\n   </strong>\n  </em>\n </p>\n <p>\n  needs conversion/transesterification ✔\n </p>\n <p>\n  takes time to produce/grow plants ✔\n </p>\n <p>\n  takes up land\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  deforestation ✔\n </p>\n <p>\n  fertilizers/pesticides/phosphates/nitrates «used in production of crops» have negative environmental effects ✔\n </p>\n <p>\n  biodiversity affected\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  loss of habitats «due to energy crop plantations» ✔\n </p>\n <p>\n  cannot be used at low temperatures ✔\n </p>\n <p>\n  variable quality «in production» ✔\n </p>\n <p>\n  high viscosity/can clog/damage engines ✔\n </p>\n <p>\n  <br/>\n  <em>\n   Accept “lower specific energy” as disadvantage.\n  </em>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “lower octane number” as disadvantage”.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Any one:\n  </em>\n </p>\n <p>\n  uses up fossil fuels more slowly ✔\n </p>\n <p>\n  lower carbon footprint/CO2 emissions ✔\n </p>\n <p>\n  undergoes more complete combustion ✔\n </p>\n <p>\n  produces fewer particulates ✔\n </p>\n <p>\n  higher octane number/rating\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  less knocking ✔\n </p>\n <p>\n  prevents fuel injection system build up\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  helps keep engine clean ✔\n </p>\n <p>\n  <br/>\n  <em>\n   Accept an example of a suitable advantage even if repeated from 11c.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e(ii))\n </div><div class=\"card-body\">\n <p>\n  carbon dioxide is highly/more abundant «in the atmosphere» ✔\n </p>\n <p>\n  methane is more effective/potent «as a greenhouse gas»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  methane/better/more effective at absorbing\n  <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    IR\n   </mi>\n  </math>\n  «radiation»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  methane has greater greenhouse factor\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  methane has greater global warming potential/GWP✔\n </p>\n <p>\n  <br/>\n  <em>\n   Accept “carbon dioxide contributes more to global warming” for M1.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Almost all were able to calculate the energy released from the complete combustion of ethanol.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Most gained at least one mark for an advantage of using biodiesel instead of gasoline as fuel for a car and most scored one mark at least for a disadvantage of biodiesel. Many conveyed solid understanding, though the disadvantages were not as well articulated as the advantages. Some incorrectly based their responses on cost factors which were excluded as outlined in the stem of the question.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  Most scored the one mark for this question, with \"less knocking or higher octane number/rating\" the most common correct answer seen.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e(ii))\n </div><div class=\"card-body\">\n <p>\n  This was another \"Contrast-type\" question, which was better answered compared to (e)(i). Many scored both marks by stating that carbon dioxide is more abundant in the atmosphere whereas methane is more effective at absorbing IR radiation.\n </p>\n</div>\n",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions"
    ],
    "subtopics": [
      "reactivity-1-3-energy-from-fuels"
    ]
  },
  {
    "question_id": "20N.2.SL.TZ0.9",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span class=\"fontstyle0\">\n    Calculate the energy released, in\n    <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mi>\n      kJ\n     </mi>\n    </math>\n    , from the complete combustion of\n    <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mn>\n      5\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      00\n     </mn>\n     <mo>\n     </mo>\n     <msup>\n      <mi>\n       dm\n      </mi>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </math>\n   </span>\n   <span class=\"fontstyle0\">\n   </span>\n   <span class=\"fontstyle0\">\n    of ethanol.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span class=\"fontstyle0\">\n    Outline the advantages and disadvantages of using biodiesel instead of gasoline as fuel for a car. Exclude any discussion of cost.\n   </span>\n  </p>\n  <p>\n   <span class=\"fontstyle0\">\n    <img height=\"392\" 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\" width=\"694\"/>\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span class=\"fontstyle0\">\n    A mixture of gasoline and ethanol is often used as a fuel. Suggest an advantage of such a mixture over the use of pure gasoline. Exclude any discussion of cost.\n   </span>\n  </p>\n  <p>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (f(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span class=\"fontstyle0\">\n    Methane is another greenhouse gas. Contrast the reasons why methane and carbon dioxide are considered significant greenhouse gases.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    «\n   </mo>\n   <mn>\n    21\n   </mn>\n   <mo>\n   </mo>\n   <mn>\n    200\n   </mn>\n   <mo>\n   </mo>\n   <mi>\n    kJ\n   </mi>\n   <mo>\n   </mo>\n   <msup>\n    <mi>\n     dm\n    </mi>\n    <mrow>\n     <mo>\n      −\n     </mo>\n     <mn>\n      3\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    5\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    00\n   </mn>\n   <mo>\n   </mo>\n   <msup>\n    <mi>\n     dm\n    </mi>\n    <mn>\n     3\n    </mn>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <mo>\n    »\n   </mo>\n   <mn>\n    106000\n   </mn>\n   <mo>\n    /\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    06\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     5\n    </mn>\n   </msup>\n   <mo>\n    «\n   </mo>\n   <mi>\n    kJ\n   </mi>\n   <mo>\n    »\n   </mo>\n  </math>\n  ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Advantages:\n   <strong>\n    [2 max]\n   </strong>\n  </em>\n </p>\n <p>\n  renewable ✔\n </p>\n <p>\n  uses up waste «such as used cooking oil» ✔\n </p>\n <p>\n  lower carbon footprint/carbon neutral ✔\n </p>\n <p>\n  higher flashpoint ✔\n </p>\n <p>\n  produces less\n  <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     SO\n    </mi>\n    <mi mathvariant=\"normal\">\n     x\n    </mi>\n   </msub>\n  </math>\n  /\n  <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     SO\n    </mi>\n    <mn>\n     2\n    </mn>\n   </msub>\n  </math>\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  less polluting emissions ✔\n </p>\n <p>\n  has lubricating properties\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  preserves/increases lifespan of engine ✔\n </p>\n <p>\n  increases the life of the catalytic converter ✔\n </p>\n <p>\n  eliminates dependence on foreign suppliers ✔\n </p>\n <p>\n  does not require pipelines/infrastructure «to produce» ✔\n </p>\n <p>\n  relatively less destruction of habitat compared to obtaining petrochemicals ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept “higher energy density” OR “biodegradable” for advantage.\n  </em>\n </p>\n <p>\n  <br/>\n  <em>\n   Disadvantages:\n   <strong>\n    [2 max]\n   </strong>\n  </em>\n </p>\n <p>\n  needs conversion/transesterification ✔\n </p>\n <p>\n  takes time to produce/grow plants ✔\n </p>\n <p>\n  takes up land\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  deforestation ✔\n </p>\n <p>\n  fertilizers/pesticides/phosphates/nitrates «used in production of crops» have negative environmental effects ✔\n </p>\n <p>\n  biodiversity affected\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  loss of habitats «due to energy crop plantations» ✔\n </p>\n <p>\n  cannot be used at low temperatures ✔\n </p>\n <p>\n  variable quality «in production» ✔\n </p>\n <p>\n  high viscosity/can clog/damage engines ✔\n </p>\n <p>\n  <br/>\n  <em>\n   Accept “lower specific energy” as disadvantage.\n  </em>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “lower octane number” as disadvantage”.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Any one:\n  </em>\n </p>\n <p>\n  uses up fossil fuels more slowly ✔\n </p>\n <p>\n  lower carbon footprint/CO2 emissions ✔\n </p>\n <p>\n  undergoes more complete combustion ✔\n </p>\n <p>\n  produces fewer particulates ✔\n </p>\n <p>\n  higher octane number/rating\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  less knocking ✔\n </p>\n <p>\n  prevents fuel injection system build up\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  helps keep engine clean ✔\n </p>\n <p>\n  <br/>\n  <em>\n   Accept an example of a suitable advantage even if repeated from 9c.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (f(ii))\n </div><div class=\"card-body\">\n <p>\n  carbon dioxide is highly/more abundant «in the atmosphere» ✔\n </p>\n <p>\n  methane is more effective/potent «as a greenhouse gas»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  methane/better/more effective at absorbing\n  <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    IR\n   </mi>\n  </math>\n  «radiation»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  methane has greater greenhouse factor\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  methane has greater global warming potential/GWP✔\n </p>\n <p>\n  <br/>\n  <em>\n   Accept “carbon dioxide contributes more to global warming” for M1.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Even rather weak candidates answered this one correctly.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  There were many good answers, but few candidates fully scored. Higher energy density and lower specific energy were quite common, and so references to damaging engines. Many students spent more time explaining each advantage rather than simply outlining. There were fewer journalistic and generic answers for this type of question than in the past.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  Another question where many candidates obtained the mark. In quite a few cases students repeated the argument for (c) and this allowed them to get two points for the same answer.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (f(ii))\n </div><div class=\"card-body\">\n <p>\n  We received many good answers, but it was worrying the number of students that still provided general and shallow comments. Of the 3 contrast question this had the best response.\n </p>\n</div>\n",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions"
    ],
    "subtopics": [
      "reactivity-1-3-energy-from-fuels"
    ]
  },
  {
    "question_id": "21M.2.HL.TZ1.1",
    "Question": "<div class=\"specification\">\n<p>Iron may be extracted from iron (II) sulfide, FeS.</p>\n</div><div class=\"specification\">\n<p>Iron (II) sulfide, FeS, is ionically bonded.</p>\n</div><div class=\"specification\">\n<p>The first step in the extraction of iron from iron (II) sulfide is to roast it in air to form iron (III) oxide and sulfur dioxide.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why metals, like iron, can conduct electricity.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Justify why sulfur is classified as a non-metal by giving <strong>two</strong> of its chemical properties.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Sketch the first eight successive ionisation energies of sulfur.</p>\n<p><img height=\"394\" 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\" style=\"display:block;margin-left:auto;margin-right:auto;\" width=\"480\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the bonding in this type of solid.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State a technique that could be used to determine the crystal structure of the solid compound.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the full electron configuration of the sulfide ion.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline, in terms of their electronic structures, why the ionic radius of the sulfide ion is greater than that of the oxide ion.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest why chemists find it convenient to classify bonding into ionic, covalent and metallic.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write the equation for this reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the change in the oxidation state of sulfur.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest why this process might raise environmental concerns.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why the addition of small amounts of carbon to iron makes the metal harder.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">f.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>mobile/delocalized «sea of» electrons</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Any two of:</em></p>\n<p>forms acidic oxides «rather than basic oxides» ✔</p>\n<p>forms covalent/bonds compounds «with other non-metals» ✔</p>\n<p>forms anions «rather than cations» ✔</p>\n<p>behaves as an oxidizing agent «rather than a reducing agent» ✔</p>\n<p><em><br/>Award <strong>[1 max]</strong> for 2 correct non-chemical properties such as non-conductor, high ionisation energy, high electronegativity, low electron affinity if no marks for chemical properties are awarded.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"378\" src=\"data:image/png;base64,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\" style=\"display:block;margin-left:auto;margin-right:auto;\" width=\"465\"/></p>\n<p>two regions of small increases <em><strong>AND</strong> </em>a large increase between them✔</p>\n<p>large increase from 6th to 7th ✔</p>\n<p><em><br/>Accept line/curve showing these trends.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>electrostatic attraction ✔</p>\n<p>between oppositely charged ions/between Fe<sup>2+</sup> and S<sup>2−</sup> ✔</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>X-ray crystallography ✔</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>1s<sup>2</sup> 2s<sup>2</sup> 2p<sup>6</sup> 3s<sup>2</sup> 3p<sup>6</sup> ✔</p>\n<p><em><br/>Do <strong>not</strong> accept “[Ne] 3s<sup>2</sup> 3p<sup>6</sup>”.</em></p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«valence» electrons further from nucleus/extra electron shell/ electrons in third/3s/3p level «not second/2s/2p»✔</p>\n<p><em><br/>Accept 2,8 (for O<sup>2–</sup>) and 2,8,8 (for S<sup>2–</sup>)</em></p>\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>allows them to explain the properties of different compounds/substances<br/><em><strong>OR</strong></em><br/>enables them to generalise about substances<br/><em><strong>OR</strong></em><br/>enables them to make predictions ✔</p>\n<p><em><br/>Accept other valid answers.</em></p>\n<div class=\"question_part_label\">d(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>4FeS(s) + 7O<sub>2</sub>(g) → 2Fe<sub>2</sub>O<sub>3</sub>(s) + 4SO<sub>2</sub>(g) ✔</p>\n<p><em><br/>Accept any correct ratio.</em></p>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>+6<br/><em><strong>OR</strong></em><br/>−2 to +4 ✔</p>\n<p><em>Accept “6/VI”.</em><br/><em>Accept “−II, 4//IV”.</em><br/>Do <strong>not</strong> accept 2- to 4+.</p>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>sulfur dioxide/SO<sub>2</sub> causes acid rain ✔</p>\n<p><em>Accept sulfur dioxide/SO<sub>2</sub>/dust causes respiratory problems</em><br/><em>Do <strong>not</strong> accept just “causes respiratory problems” or “causes acid rain”.</em></p>\n<div class=\"question_part_label\">e(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>disrupts the regular arrangement «of iron atoms/ions»<br/><em><strong>OR</strong></em><br/>carbon different size «to iron atoms/ions» ✔</p>\n<p>prevents layers/atoms sliding over each other ✔</p>\n<div class=\"question_part_label\">f.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">e(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">f.</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "reactivity-2-1-how-much-the-amount-of-chemical-change",
      "reactivity-3-2-electron-transfer-reactions",
      "structure-1-3-electron-configurations",
      "structure-2-1-the-ionic-model",
      "structure-2-2-the-covalent-model",
      "structure-2-3-the-metallic-model",
      "structure-2-4-from-models-to-materials",
      "structure-3-1-the-periodic-table-classification-of-elements"
    ]
  },
  {
    "question_id": "21M.2.HL.TZ1.6",
    "Question": "<div class=\"specification\">\n<p>When dinitrogen pentoxide, N<sub>2</sub>O<sub>5</sub>, is heated the colourless gas undergoes thermal decomposition to produce brown nitrogen dioxide:</p>\n<p style=\"text-align: center;\">N<sub>2</sub>O<sub>5 </sub>(g) → 2NO<sub>2 </sub>(g) + <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>1</mn><mn>2</mn></mfrac></math>O<sub>2 </sub>(g)</p>\n</div><div class=\"specification\">\n<p>Data for the decomposition at constant temperature is given.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest how the extent of decomposition could be measured.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Plot the missing point on the graph and draw the best-fit line.</p>\n<p style=\"text-align:center;\"><img 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kaeeCbbIvjnPrvw9eU9GDwRer2T6FXmmK9/imaniFlsdqz2EBHENciILgkDaDWK5pWCn1YUA2zpvG5KDlH3xdvyxtfE2Id2WSJfI1fRH9+DTK9nCqcgzXQVzPDPCLcaF2h42PdmyxftIDiFBuw2FTCDDdmuzudGhWlZmpGb99DIynhn6TJFngpCaPSMcsUl7xkBBD3ve5qj/bTuRYIvI43kWMCLol4dbPOKx2kNIEMIgw7p3MQLyz9naLBDCsltd6582psPzQCNR5CM2LRs0GxBg+5zR+lqzFwnGaIkEY1yo7WHTk6F75YvHMiK55BASNNKwbCt382W2EAnG8z5zMGdjq8gzXZFgvN42qSVLIhMkYyILgxT95jOxTRy4iNGMBC8yDLkpBE6NwGGZoN06Rnt7vnZq5HZwLiPB7MpekWe6V84asrFV5JmucIsDp4pbbHWs9hASxDWywaXtpd4mRxcEFke7gZ+vq557W6PHBDNtq323+qP9R+3Mlnx7vmYivKzuTLiZL5FvyLYoh5HgFoOZzaYywXhGCZBeUbYVozMzbvGIx2pFgmM4HdIqI8FDnFKnQmAyBHYlQV5+8NKD3+LxM5X25yuTYVseTkaC2ZW9Is90lW3F0yvcYlyo7WHTk6GbrbflXnPJbiRoHzLgrbD9FYbtczdfZguRYDzv1YDJ9CvyTDcL5ky/Is90r+xbvFLGancjQX6kTBZI9mc/VvbHY+6+rFYiwXi+Zw7mbGwVeaYrEozX291q7cssGLQ/Y4MMyRBVYgQyEoy19qnNAmYfL+Je5FuMS1Z7Ztwy3yvy3TJBfg4DEbLnJzA8H7SMsDKAmXUzEsyu7BV5ppsFTKZfkWe68i2Oiplxi0c8VrsbCXp3ID/9VYhH5PEY0ms3Fm670drXVc+9rdFjiIa21b5b/dH+o3ZmS749XzMRXlZ3JtzMl8g3ZFsUkeAWqN7JpjLBGEgCpFeUCcbozIxbPOKxWpHgGE6HtMpI8BCn1KkQOACB7MJWcUkkWEFvY92MBLMre0We6WaLMtOvyDNd+RYvzJlxi0c8VnsICfJGmBckKn0ERIIxPjMHcza2ijzTvfLFI14pY7WHkOCYa2olEozXwMzBnI2tIs90RYLxetus1n4m478jaMd6c/wIu0gwXn4zB3M2too80xUJxuttk1puhfkLEoI82vQ9QZFgL2B7MpC7cjBnY6vIM90r41YhqkNuh3kmCAnyIQUIsd30PcE3FwcWbrsx4b6ueu5tjR4TMLSt9t3qj/YftTNb8u35monwsroz4Wa+RL4h26IcQoJb/UdLWwB0pE3dDsfoEyC9cuWMJhtbRZ7pXhm33nrIZIeQIM/8LBPMHHzJcpFgPPszB3M2too80xUJxutts1qyQYLcPq3l9/rO4CPsIsF4+c0czNnYKvJMVyQYr7dNankLTIDzv81Bhu2GXOXhFUY9HLJFXZFnulcOmGxsFXmmK9ziFV3FLbY6VnvI7bCeCY5NjjLBGKdqwGT6FXmmKxLcZk5jq2O1h5AgmR7PBF/qW+CxqVEmuISTiGYJmW0/YZ/hXpFnutnFYxmRXHIICfKTGJ4B6j9ffzpBZH7txuJoN7R8XfXc2xo9ZlHSttp3qz/af9TObMm352smwsvqzoSb+RL5hmyLcggJ2jPBNuDtnNtlFWWCS2uAAOmVLGvI9CvyTFe+xTNXxS22OlZ7CAniWvsDaX9euU3mg61GptxyZ2+a+dS/tfd7/6d7mU1+9E1ma/pkuIynWrB31pIF85F+y7fb0H+puO1GgpACGeDI5glozXTa/2hn+hAgRGL/p0lky55PRjLqMpsQNmRLOwrn/DcCEGG1ZCSYXT0r8kw3C5hMvyLPdOVbvPJmxi0e8VjtbiSY3QJbFsX+1tthsrE284vqPDT0BWktlUjf10UkGtUt2e/ViwRjdGYO5mxsFXmme+WLR7xSxmp3I0HcsVteMjOIhNtMjqkne/N/Uzzm/tNW0V+h0EcvK0PWI93MJqTbkihjgcB6GehTz+MzkWCMy8zBbGP7xS9+8fCjH/3Tw29+8+snIJj8SaU76cl7MkyIBB2QWx8a2UXP/iClllRG/IFIIQ2ez/lit7O+zh9DcvSJLht9m40Rm1EmybgiX3y/I8fYUHlZCPzud797+OpX//z1emQN/PSnP3lZIOw82l0zQRsbxEEmGBUytyVZ1N7qLPsyArP6HgkaydHGCnYgRvYjNvG3Je29SDC7slfkme6Vs4ZsbBV5ppvh9q2//usnBAgJsv32t799tUQz+z15T4bxzLdMvyLPdDPfLH5v2R9CghAVE8utpM8GqYeAPCmNDsoIbQ0JLtm2W+QRm5VM0BZ4b8/kZxvj8G2yc9+2epz1tVZe9cfrr+07a+9trz3ObJv8L/7iaRZoa+OXv/xld47X+uPbW99WVz03O7fse30j26IcQoIMBKJjgiE9Mj82zsmsbi3Y4qWEL5AUpLam4IP5kdmEyNvM1chTzwSXUc+u/D15T0aPBF+vZPoVeaab+fbf/uqvXsWBkZ/tP//881dDyuz35D3Z1XHrzXcmO4wEcQySgAwhKvZtFpc538oho/btMATY1pmevbGGtHzh9tZ0MpvRm2DGBXlWCwHQK9mirsgz3SyYM/2KPNO9sm//+I//6xkJfvvb33q9DLKx9+Q9GR2cGbfXAGxwcCgJ3ns8lpXxLI9iJNfLyCA5f/ttzwTtNn3EJoQHkVPQg3jXZp+vlJt/RIINIL8/vXIwjxANb4Yhvm984+uv3hB7FLKx9+Q9GX2M+OZ9aY8z+z15TzbiW+vLmvOpSNAIyG4h2FtGZ6BAWHarSx1ZIIRlOhwbiSIfsWnZoLfRZpfW/5o99nolWzgVeaZ75YDJxlaRZ7rCLV7RVdxiq2O1u5EgpABZjGyehMaGMWcrkWA8r9WAyfQr8kxXJLjNnMZWx2p3I0G7NbVsqbe3W8uxIczbKiPBeUeukQmB/RDYjQQZEtngyGbP4/aD4Zw9ZSSYZR0VeaarjCZeM8ItxoXaHjY9GbrZelvuNZfsSoK5Oy+7RZQdszjaDZR8XfXc2xo9ZlHSttp3qz/af9TObMm352smwsvqzoSb+RL5hmyLcigJ8tKCn6Pwhtbe0t7jhcIWQB1hU5lgjDoB0itZ1pDpV+SZrnyLZ66KW2x1rPYwEuQNLUHO21ieAXLOm1vIUET4OHkZCY5NsVoJASHQQ+AQErSXJO2PoyE/iND/bq/n/OyyjASzq2dFnukqo4lXn3CLcaG2h01Phm623pZ7zSWHkCCZHxlfVHqyqP3MdSLBeHarAZPpV+SZbhbMmX5Fnule2bd4pYzVno4EuS1eIsixIc3TSiQYz+XMwZyNrSLPdEWC8XrbpJY/YyPAue31P4fhNpnb4favPDZx4gJGMxI8cghZwMi3GAHhFuNyZO0hmSADhugIcnsZQvbHuf+TtiOBOUPfGQlmV/aKPNPNgjnTr8gzXfkWr96ZcYtHPFZ7GAninv+KDM8C2xclY0OYpxWk124s3HZjxL6ueu5tjR5DNLSt9t3qj/YftTNb8u35monwsroz4Wa+RL4h26IcRoLcBi/9HbH+dvhxqpUJxkueAOkVZYIxOjPjFo94rPYQErSfwrRZj52TFark//m6MBICLwWB7MJWweEQEuSFCM8Cuf2FENvNvyypDO7qusoE4xmcOaPJxlaRZ7oZ0WT6FXmmm/kWr5Sx2kNIUL8FHJsckWCMUzVgMv2KPNPNgjnTr8gz3Sv7Fq+UsdpDSNC+3vzSX4RkUyQSjBGaOZizsVXkma5IMF5vm9WSDRLk/DSm3fQ7wUfYRYLx8ps5mLOxVeSZrkgwXm+b1NrfDtvHEyBEvyFXyV+MZIu6Is90rxww2dgq8kxXuMWRXcUttjpWe8jtsJ4JxpND5tduLI52Q9vXVc+9rdFjgpm21b5b/dH+o3ZmS749XzMRXlZ3JtzMl8g3ZFuUQ0jQ/jxOb4H7U6rb4RgfAqRXlG3F6MyMWzzisdpDSJCfxPAckNthnv+1P5rWj6UfJ08kGC/imYM5G1tFnule+eIRr5Sx2kNI0J4Jtrd+ds7tsoqeCS6tgZmDORtbRZ7pigSXVtxG9e0PpP25bpMfQVcmGC++mYM5G1tFnumKBOP1ptoDERAJxuDPHMzZ2CryTFckGK831R6IgEgwBn/mYM7GVpFnuiLBeL2pdkcE7Jmo37Nw2w2XfF313NsaPSZgaFvtu9Uf7T9qZ7bk2/M1E+FldWfCzXyJfEO2RTnkxcgWA5nRpjLBeFYJkF65ckaTja0iz3SvjFtvPWSyXUmQt8L8/IW/GeYL0lv8eRx2LZNa+6l+++x/+zfNmU3a25ex6Zuf/vCip1oyEqzar+hnAVOxXdWVb7ch+FJx240E+XyW/4/WIUCI455EaH3Y7wyxDZFAblnhjbQRmSfBzCZ6kC3tKJwzToiwWjISzK7sFXmmmwVMpl+RZ7ryLV55M+MWj3isdjcShCggJ4jJ/h8Rfzzmbr9VRKpRXWQF0opIMNL3dfbXL95mVOflo8ciwRipmYM5G1tFnule+eIRr5Sx2t1IkOzIsj7LzCBDy6DG3O23sg+1+lb0kWVlkBbEFt0OZzYZE2PzBbIfzUC9XnssEmwReTyfOZizsVXkma5IMF5vd6vlGRlkYc/KIB7LCO/RCXYhDX8ri127nV3qAz2IDgI08jIbIzb565aWBLkljnxZ8mGpPiPBJT3VCwEhMI7AbpmgdwmSuHdpCczsZyQIgVk22tpozyObEPlRJJhd2SvyTPfKWUM2too80xVuFkVP91Xcnlpbd3YICUIcEMw9y0jW1vbXZnEt6Y3YbG3Qx2gmSKaXbQRNttGnb5Od+7bV46yvtfKqP15/bd9Ze2977XFmuypf649vX+271fe21x63tvw5x1uUaUgQcLit5TbbF0hq6Zkg7ZdIyLLDzCbPBHme6IuRpz379LI1x9ntcHb1rMgzXRZ3r2T6FXmmK9/imZkZt3jEY7VTkaB/a2vDhwDthYzVLe3bTJB2mc3oTTDkB3lWi0gwRnDmYM7GVpFnume+eMQr4T61U5GgZWV2qw1BQSSjGVlEgiM2ITwyTgq3whDvUva5ZtpEgjFaVw7mMxPNlX2LV8pY7SEkyK0mt4z3LkZAkIdtbRYIYS29lY5IcMSmZYPWJwR4j/GJBOMVIhKMcaG2h01Phq5IcBnXu0v4CQpESPZkG2R1D+K4u7MHGhQJxuDPHMzZ2CryTFckGK+3u9aSafFzEoKbZ21+I0NjazO3uzpwMWMZCV5sOHJXCJwSgV1vhyFAiC96RsdtJ9khgd++4T0lcjs4lZFgdmWvyDPdK2cN2dgq8kxXuMWBU8UttjpWuxsJ2s9GskwPkrSXDGNDmKcVpNduLI52Y8S+rnrubY0eE8y0rfbd6o/2H7UzW/Lt+ZqJ8LK6M+FmvkS+Idui7EaCZHrZ7a61eakk2E6wMsEWkcdzAqRXlG3F6MyMWzzisdrdSBB3eCtrRMgtMdmhbbws4a0qgR/dLo8NZ65WGQnONVqNRggcg8CuJMgQyfIgwva2j3OeGep54JuFkJFgdmWvyDNdZVtv5skfCTePxtPjHjY9GVay9fa0p3Vnu5Mg7nHbS+YH4dmmn8c8nziR4HNMqKkGTKZfkWe6WTBn+hV5pntl3+KVMlZ7CAmOuaZWIsF4DcwczNnYKvJMVyQYrzfVHohARoIHurbp7Ul1XFkwV+1X9OVbBb1tdHfLBLkFtr8OyfZ6Lvg42RkJZlf2ijzTzYI506/IM135FpPFzLjFIx6r3Y0EcYe3wwQ2L0b8X4u0x9lvCceGdr1WYNNuLNx2Y2S+rnrubY0eQzS0rfbd6o/2H7UzW/Lt+ZqJ8LK6M+FmvkS+Idui7EqCDMB+JqMXIfl0KhOMMSJAekWZYIzOzLjFIx6r3Z0EcYufwugH0fkEnZkEM++zgKvIM135FiNwZdyyC1s84rHaQ0iQDynYf2Y05ubLbHVmEswWZRZwFfi9ZtYAACAASURBVHmmK9/ieJkZt3jEY7WHkOCYa2olEozXwMzBnI2tIs90r3zxiFfKWK1IcAynQ1qJBGPYZw7mbGwVeaYrEozXm2oPREAkGIM/czBnY6vIM12RYLzeVHsgAiLBGPyZgzkbW0We6YoE4/Wm2h0RgPTajYXbbrjk66rn3tboMQFD22rfrf5o/1E7syXfnq+ZCC+rOxNu5kvkG7Itym7PBPldIG+FVcYRUCYYY0WA9MqVM5psbBV5pntl3HrrIZPtRoL8KRxBbV+O5pw/pVNZRkAkGGMzczBnY6vIM12RYLze7lrLbwP5kTRESIDz53P8cJo/k+NDqiLFp3CLBJ/iYWczB3M2too80xUJ2grbac+tMeTH16TtI6vs+bM6fVn6cRJEgvFinDmYs7FV5JmuSDBeb7vU2kdW+d/m9Cd1byAXCb7Bwh/NHMzZ2CryTFck6FfZwce6LX6cAJFgvBBnDuZsbBV5pisSjNebandEANJrNxZuu+GSr6uee1ujxwQMbat9t/qj/UftzJZ8e75mIrys7ky4mS+Rb8i2KLu9Hd7C+dltKhOMZ5gA6ZUrZzTZ2CryTPfKuPXWQyabjgTtw60QCC9asg+0cutt/9UnOui3t+OZTd562xtvbGDvHt9LzEgwm9wt5VnAbNl3Zlu+ZQjF8peK26EkCEHxIgQCgXj4+UzlB9X2YsVsYB8i6b1thrDYKPiAP5CelcwmOpAt7bwNs2l2btlnJJhd2SvyTDcLmEy/Is905Vu82mbGLR7xWO1hJAjRQB6QDsEOcXFMnZHY2BDetIJM28wvqjMNsrWWJO1H3ZbJRfq+jvb47EtU5+WjxyLBGKmZgzkbW0We6V754hGvlLHaQ0jQiIYMzY496fhMbGwYj60go/Zjrdhak5W1/mQ2LZv1fkLiLbl6+eixSDBGauZgzsZWkWe6IsF4vW1Sa381gvGWdLxsTeeW1bUkaLezI7awQTaKD5QRm7RFxxdukSGw1hffZuQ4I8ERG2ojBIRAH4FDMkGIiVtKSkuCZG0tqfSH8Ci17KslnlESpF9IB7/wiTJik0yz9XcvEsyu7BV5pnvlrCEbW0We6Qq3OJqruMVWx2oPIUFugyEcbiU9Cdpx+1xvZCgjWduIHUjUsrgRm5VMkH6yjaDJNsbl22Tnvm31OOtrrbzqj9df23fW3ttee5zZrsrX+uPbV/tu9b3ttcetLX/O8RblEBJkIBAdBMAzN/ZkYOxvfR6ITWxZFmdgQVJrngmiR3vzI7PJOCyrtT6NPHtvpa1tbw8evZJdPSvyTJfF3SuZfkWe6cq3eGZmxi0e8VjtYSSIe5AEJAJRsbW3smNDeNMKMmqzSAitrTMNyzwhLV/8c8HMJjYgSl8YV1vn5aPHIsEYqZmDORtbRZ7pnvniEa+E+9QeSoJLQ+CZ2i3FsjL7iY2RXC8jg+QgYCt2O2w2RmxCeGYD3yHetdmn9e/3IkGPxpvjKwfzmYnmyr69WR3rjw4hQYgG8onIzkhn/VAef+wM+UAetrVZIIRlt7r0QRbodTg2AkRupGb22Lc2LRu0Nthos8tbxoO9XsnIoCLPdK8cMNnYKvJMV7jFK7qKW2x1rHZXEuRNLRmTkQ7H7QY5tm9bx4YyXyuRYDyn1YDJ9CvyTFckuM2cxlbHanclQcvyIDoCnH27QYC929exYc3RKiPBI0eZBbN8ixEQbjEuR9buSoI20N7tsLXR/uHVhaKHQ5Z1VOSZbhbMmX5FnunKt3jVzIxbPOKx2kNIENd41saztHYjW2yfuY0N5fqtyPzajYXbbozU11XPva3RY4iGttW+W/3R/qN2Zku+PV8zEV5WdybczJfIN2RblENIkJcGdkvcBj3nL5UE2wkGi15hofRKRZ7pKtuKkRduMS7U9rDpydDN1ttyr7nkEBKE5Ahwbos55o0tb2Ttz+nu8WY1H/r5W2QkeP4RyEMhcH4EDiFB3giTCVLa3+X5HyqfH75tPcxIMLt6VuSZbnZlzvQr8kxXvsXrcmbc4hGP1R5OgmR9BDvPBimeIMeGMG8rkWA8tzMHcza2ijzTvfLFI14pY7WHkKBlf9wK84LE/8UFvyHU7wQfJ08kGC/imYM5G1tFnumKBOP1tlktf7VBkNtzQY7tZYlejIyR4GaTM2A4C5gBE5s1kW+3QXtm3G4b0ZjWIZmgueZ/FM3tMLfCdltsbV7yXplgPPszZzTZ2CryTDcjwUy/Is90M9/ilTJWeygJLrno/3Z3qc2M9ZBeu7E42o2x+7rqubc1esyipG2171Z/tP+ondmSb8/XTISX1Z0JN/Ml8g3ZFmV3ErSMj5/DtD+FITPU2+E306xM8A0W/ogA6ZUsa8j0K/JMV77FM1fFLbY6VrsrCdpzQMt2eCFiRMitMPXU6Zb4cfLOTILZ8soWdUWe6cq3GIEr45ZdPOIRj9XuRoJkeQQ1ZAfx8UIEwoMYjRzZGymOuT93qzOTYLYos4CryDNd+RbHxcy4xSMeq92NBMnuCGpPckZ+yv7iyRIJxrjMHMzZ2CryTPfKF494pYzVHkqCZIX+lnjM5ZfTSiQYz/XMwZyNrSLPdEWC8Xq7W22UCUKC9udzd+toIkMiwXgyZw7mbGwVeaYrEozX291qRYLroRQJxpjNHMzZ2CryTFckGK+3u9UaCZL52catMJud2/6l/sUIpNduLNx2Y1J8XfXc2xo9JmBoW+271R/tP2pntuTb8zUT4WV1Z8LNfIl8Q7ZF2e2ZIG+DjeSy/UslwXaClQm2iDyeEyC9cuWMJhtbRZ7pXhm33nrIZLuRYOaI5M8REAk+x4SamYM5G1tFnumKBOP1ptoDERAJxuDPHMzZ2CryTFckGK831R6IgEgwBn/mYM7GVpFnuiLBeL2p9kAEzkyCGSxZwFXkma58ixG4Mm4ZQccjHqvVM8ExnA5pdWYSzBZlFnAVeaYr3+LlOjNu8YjHakWCYzjt0grSazcWbrvhjK+rnntbo8cQDW2rfbf6o/1H7cyWfHu+ZiK8rO5MuJkvkW/ItigiwS1QvZNNZYIxkARIrygTjNGZGbd4xGO105GgfZQBAuGH2NlvDvmAK/+viWVgfM+w/ahrZtN+A2k2sOc/FDE2Fc9bZST4XGO/moxo9vPkeU/y7TkmIzVnxm3E/1vbTEWCfKjVkxgECJH4z/h7oPhPnvjhNiRnxT7qgIyS2bT/KIp2FM7xASKslowEsyt7RZ7pZgGT6Vfkma58i1fezLjFIx6rnYoEIbQ284vqDBr7Uz4jPKv3GWSk7+uwQXtfojovHz0WCcZIzRzM2dgq8kz3yhePeKWM1U5FgpARt6a+kOWtzco8CWY2IV0yP1+4ne5loL5t71gkGKMzczBnY6vIM12RYLzeLlPLMzhIoyVBu50dHQj6RmAjNrl9bkmQzDLyZdQHa5eRoLXTXggIgdsRmCYTtOyrSoIQGsRGGbFJpnkUCWZX9oo8071y1pCNrSLPdIVbTFZV3GKrY7XTkOBI1pZBwm2zJ7QRm5VMkEwv2wiabGNcvk127ttWj7O+Wvkvf/nLh//+N3/z8D+++92Hf/mX/434ie9Vf7x+a7t67m2vPa72nemv9ce3z2yvlXvba497fSHbokxDgoDD8zteSvgCSY08EzQCjF6S9GzyTJAXJb4YeS69lfZte8fZ7XB29azIM10Wd69E+t/97t8+If233vqjh88//zw0E+lbw56MNrf4ZrbZZ/Z78p5Mvi3/vrOKm5+/tcdTkaB/a2tAQG7tG2OTseeWl+yPrSVA5JnN6E0w5AchV8tMJPib3/z6CQFaBgwxRqUXFD0ZtkSCEaI5uZ8Zt3hE96mdigQtK4PYKBAUwbaUkZGxQVb+FriFdcQmNuw5IkQK8Y5kn21f7flMJPiLX/wiJMFvfOPr7bBfnfeIridD+czBLN/C6U6z7wy32OpY7VQkaARkWQb7NguEsOzH0RCXb+uPrc2ITcsGTR8ChGCrBXu9kpFBRZ7pZouy1V/KBL/97W+FQ2z1faOejHZrffO2Oc7s9+Q9mXzT7XC71nSeIDATCTJUPRMUQS8t+erFY8nuSP1UmeDIgK/UJiPBI8eSZVtLvv30pz95+MEP/uHhn//5Rw9kh1uUW33bwpfWpnxrETn+XCR4/BwsepCRYHb1rMgz3SyYM/2KPNOVb/GSmhm3eMRjtSLBMZx2aQXptRsLt91wxtdVz72t0WOIhrbVvlv90f6jdmZLvj1fMxFeVncm3MyXyDdkWxSR4Bao3smmMsEYSAKkV5QJxujMjFs84rFakeAYToe0ykjwEKfUqRCYDAGR4IknNCPB7MpekWe6yrbihSPcYlyo7WHTk6GbrbflXnOJSDDH6LAWIsEY+mrAZPoVeaabBXOmX5Fnulf2LV4pY7UiwTGcDmklEoxhnzmYs7FV5JmuSDBeb6o9EIGMBA90bdPbk+q4smCu2q/oy7cKetvoKhPcBte7WM1IMLuyV+SZbhbMmX5FnunKt3j5zYxbPOKxWpHgGE67tIL02o2F22444+uq597W6DFEQ9tq363+aP9RO7Ml356vmQgvqzsTbuZL5BuyLYpIcAtU72RTmWAMJAHSK8oEY3Rmxi0e8VitSHAMp0NaiQRj2GcO5mxsFXmme+WLR7xSxmpFgmM4HdJKJBjDPnMwZ2OryDNdkWC83lR7IAIiwRj8mYM5G1tFnumKBOP1ptoDERAJxuDPHMzZ2CryTFckGK831R6IgEgwBn/mYM7GVpFnuiLBeL2pdkcEIL12Y+G2Gy75uuq5tzV6TMDQttp3qz/af9TObMm352smwsvqzoSb+RL5hmyLohcjW6B6J5vKBGMgCZBeuXJGk42tIs90r4xbbz1kMpFghtCBcpFgDP7MwZyNrSLPdEWC8XpT7YEIiARj8GcO5mxsFXmmKxKM15tqD0RAJBiDP3MwZ2OryDNdkWC83lR7IAJHkCD/STrbzAGTja0iz3SvTDTZ2CryTDfDrRKmeiZYQW9j3T1J8PPPP3/40z/9z6/fTv/Jn/ynB+puLdmirsgz3cznTL8iz3TlW4xAhptIMMZt+to9SfAb3/j6awKkX7avfvXPFzHOFmW2qCvyTFe+xdM2M27xiMdqlQmO4bRLKyMfv2fhthvO+LrqObZ8n/7Y9+OPIRrOq323+r6PtcdmS749XzM9LM+Em/li/tp5dmGj3a1FJHgrcjvoQUa9wkLplTXyt976o5AIl+xni3JN31EfPf2eDFvyLUK0/x8dXR23eMRjtdOR4Pvvf+d1ML/99lsPH330wzEkHh4ePvjgew/otyWz+cknP3t4552vvO73vfe++fDFF1+0ZlafZyS42mBH4e///n++9t8yQeqWSkY0S3p71Mu321A+M263jWhMayoS/PDD7z+8++7XHj777FevRg8BEtCffvrzFA10aduSYGbzyy+/fIBsaUfhHB8gwmrJSDDLiNbKf/CDf3jg2SDb9/7u77ruZwGztu+2s55+T4Yd+dai+Xg+M27xiMdqpyJBsrE284vqPDQQJoQFidG2JcFI39d9/PGPX5GgtxnVefno8d4k6P2aOWCysVXkma4I2q+yN8dV3N5YWn80FQmSkXFr6guk1svKIE0jTjK4lgQzm+ii5wvEOpqBer32WCTYIvJ4Xg2YTL8iz3RFgtvMaWx1rHYaEuQZHKTRkqDdzo7A0ZLgiE2eI7YkyC1x5MuID75NRoK+rY6FgBC4DYFpSNCyr3uS4IhNMsejSDDLOiryTFcZTRxwwi3GhdoeNj0Zutl6W+41l0xDgiNZWwbH3pkgmV62MfnZZovE2mXn1u4e+6yvtfJ7+GQ21vadtTe7t+wz21X5LT6ZTrXvVt/s3rJvbflzjrco05Ag4PD8jpcSvnC72nsm6Nu2JDhik2eCvCjxxQh55K2012uPs9vh7OpZkWe6LPBeyfQr8kxXvsUzMzNu8YjHaqciQf/W1oYPAdqLD6tb2kckmNmM3gRDfhBytYgEYwRnDuZsbBV5pnvmi0e8Eu5TOxUJWlbGszwKBAWRjGZkEQmO2ITwyDgpvBSBeEezz1dKC/+IBGNgrhzMZyaaK/sWr5Sx2qlI0AgI8rCtzQIhrPZnMAZVRIIjNi0btD4hQG6Jq0UkGCMoEoxxobaHTU+GrkhwGVdJDkJAJBgDP3MwZ2OryDNdkWC83lR7IAIZCa517Uc/+qdXn8fiYwnf/e7fPvzud79ba+J1+yxgXjc84EC+3Qb6mXG7bURjWlPdDo8N+TqtMhLMruxe/tOf/uT1IwLssv3Zn/2XRTC8btQoC5hMvyLPdOVbNGP9W2U0roxbPOKxWpHgGE67tDJy8nsCvt1wxteNnP/lX/7XZyRIP//6r//niS1vt3dMwCAf6dvbydr7tmuPzbZ8e75melieCTfzxfy184ygaXdrEQneitwOepBUr7BQesXLoy9HY5//TyQqXjeSZ4sy06/IM135Fs2YMsEYlYcHkeASMieoz0hwjYt8Jgt7fvvjP/6PD7/97W/XmFFbITAdAiLBE09pRoJZRuTlkJ3PBnk5wq3wUvG6URtlWxEqc2db2ZqoyDPdbL3FszFWKxIcw+mQVvckQRvAb37z69e3wL2F15NhK1uUmX5FnunKN5vtp/uZcXs60nVnIsF1eO3aegsS9APoBUVPhg0RjUfyzbFwe4NFe9TDpifDTrbe2r7WnIsE16C1c9uMBHd250l3Wy7KJx3dcCLfbgBtY6K5zaM3WlvOqUjwDc6nO8pIMLt6VuSZbrYoM/2KPNOVb/FSnhm3eMRjtSLBMZx2aQXptRsLt91wxtdVz72t0WOIhrbVvlv90f6jdmZLvj1fMxFeVncm3MyXyDdkWxSR4Bao3smmMsEYSAKkV5QJxujMjFs84rFakeAYToe0EgnGsM8czNnYKvJM98oXj3iljNWKBMdwOqSVSDCGfeZgzsZWkWe6IsF4van2QAREgjH4MwdzNraKPNMVCcbrTbUHIiASjMGfOZizsVXkma5IMF5vqj0QAZFgDP7MwZyNrSLPdEWC8XpT7Y4IQHrtxsJtN1zyddVzb2v0mIChbbXvVn+0/6id2ZJvz9dMhJfVnQk38yXyDdkWRS9GtkD1TjaVCcZAEiC9cuWMJhtbRZ7pXhm33nrIZCLBDKED5SLBGPyZgzkbW0We6YoE4/Wm2gMREAnG4M8czNnYKvJMVyQYrzfVHoiASDAGf+ZgzsZWkWe6IsF4van2QAREgjH4MwdzNraKPNMVCcbrTbUHIpCR4IGuqWshsCsCGUFXnNGLkQp6G+tmJJhd2SvyTDdblJl+RZ7pyrd4Yc6MWzzisVqR4BhOu7SC9NqNhdtuOOPrqufe1ugxREPbat+t/mj/UTuzJd+er5kIL6s7E27mS+Qbsi2KSHALVO9kU5lgDCQB0ivKBGN0ZsYtHvFY7XQk+P7733mdTb399lsPH330wy4SX3zxxcN7733ztc67737t4ZNPfvZEJ7NJ+3fe+cprG9jDbrVkJFi1X9HPiKZiu6or325D8My43TaiMa2pSPDDD7//AIl99tmvXo0eAoRIPv3054to0B7S+vLLL1+1gfAgTyuZTfRoTzsK52bTbNy6z0gwu7JX5JluFjCZfkWe6cq3eMXNjFs84rHaqUiQbKzN/KI6g4ZsrSXJti7S93Uff/zjJ6SJ7ajO+lyzFwnGaM0czNnYKvJM98oXj3iljNVORYJkZNGtLJleVMgQIRrLAq2Nv43ObEK6ZH6+kIm25Orlo8ciwRipmYM5G1tFnumKBOP1dplay+BaErTb2WggZGwRCUJq6I3Y/OCD7z0jQUgVu60vkQ+9uowEe7qSCQEhMIbANJmgZV8t8fRI0J4ZtpmgkeCITZ4htpngXiSYXdkr8kz3yllDNraKPNMVbjExVXGLrY7VTkOCI1lbC8nRmSCZnjZhoDUwtgayC0gb36Pn05AgA+b5HcTmC7er2TNBCNQX/+Ijs0k2SXtfjJB7b6V9+6Xj7HZ4S/mWthlvxX5Ft9p3pi/fllZzf86ruC33mkumIkFPXjZ0CLB9Y2yyJbKC+IzAMpvRm2B0sVEt1YVR0a/oMu4t9be0XfVdvi2v+h42PdnInCz3mkumIkHLyux3gna7a4QWwQFJstlzQTJHT2AjNmmPHgU7ZjPqb01ddWFU9Cu6jHFL/S1tV32Xb8srvIdNTzYyJ8u95pKpSNAICEBta7NACIuXGVYgTF5sWHsyP/9yZcSmZYNmAxJsb7GtvzV77PXKlvItbTOmiv2KbrXvTF++La/YHjY9WYb5co9jkqlIcGzI12mVLYwjRyLfbkNfuJ0PN5HgbXOyi5YC5jaYhZtwW4OASHANWju3VTDfBrhwE25rEBAJrkFr57YK5tsAF27CbQ0CIsE1aKmtEBAC0yEgEpxuSjUgISAE1iAgElyDltoKASEwHQIiwemmVAMSAkJgDQIiwTVoqa0QEALTISASnG5KNSAhIATWICASXIOW2goBITAdAiLB6aZUAxICQmANAiLBNWiprRAQAtMhIBKcbko1ICEgBNYgIBJcg9YGbfmUF98iZOOzX/f4BNcGbr42yWfDvL/2HcbXDQ46ADvzy38K7SB3Xnd7RrzOvub2nkuR4Ovluv+BfYGabxiy8Tev9oHWM5IhixMfW3+pP7LwfUhwwy/2+Mg3IiGgI8sZ8Tr7mjtiLkWCB0YJgUr2YsWu0AQy29FBbH6xh5RbnwgoPiBrpIP/excwwi/rm8yUOvtQLkF1xAXlrHidec0dNZciwb2j9vf9ESSQR0R0yIxcjs6yDB78xN+IULj9tCys918ZmK177rmI0HdUwA6CRB75Hencq+6MeJ19zR01lyLBe636lXbIWAhQnwm2JpDRZu8Abv3gHHJbIm3k+Ahxk2nsWYzoljAiQ8xw3sLfM+J19jV31FyKBLeIgEGbTDrEwn8QHxVbtEvySGfLOnteE2Wv9GuBv+eLCTAi02OzW+IWAwsu2u5ZzojXmdfcUXMpEtwzKoK+bFGSQUXkQXDT5iyFwIa4o/9MChJCtvctMVkgOFnG15LdUSTInJ0RrzOvuSPmUiS4M7uQRXGby8ZiJGDtmZqRC/XW7ujbYXwxf42kqcMvNoIcX9n2uh0mUMiO8Ys9pAuOnIMhflGPT/gKQSLbo5wRL1tLYIB/Z1pzZ5hLkeAekfH7PliABClByWYBawuTvdWbbO+sysNht3P4BLHgExkrQcXiJais3mTUb1mwb/7Ynr4hYDJR8OLY+8U49ihnxOvMa+4scykS3CM6Vv7EhMXB1t7W7eTqq24gOojEnrPhC3WQIKRDwJuP5u8e/kG8+GDYsCfQ8ZXNnp9Sv6dfZ8SL8YMJvlmxi4RdtGx+DSvD1dpvuT/LXIoEt5xlZ5uFyMJjsbXFbodZsEdmft4vFiiZVlSMdJBH44l07lVHn/jWFoKXeiPoVr71+RnxOvuaO8tcigS3jo7f24fcCFB/VfZdQyZ7PVPz/S4dG9EtkRwZBKQdEdKSzXvUZxhZ4C/hfA8fIhtnxOvsa+4scykSjFb0RnX2zGgpQG3R2guIjdwYMktmxZWazW6ZWkUL/D1voYx87Xa89YnzLLginWrdWfE685o7y1yKBKurf6U+i5KMkEBtsywWBbKz3BLjHyRoGV9LdkeQIHCDDz6x4UNbwBh89y5nxevMa+4McykS3DtSHh6ePMhngZIZsh2RwWTDh/jsWRukc9RPT1o/IRzw4qLBixLIEAyNmJey7dbOvc/Pipfhwhyebc0dPZciwXtHwaA9Jh5yYVESyBbM1J+xcMWGdLy/BNPRBbKzN9ZgiH9Rdri3n2fE6+xr7qi5FAnuHR1Nf2QOLM6zkl/j7qufppzRX/OpvWVv/d/7/Izze0af/LzsPZciQY/+Cz4me7oKEZ9hmoTXulmAeM+QoUdeiwQjVIp1kAnPzrjdZc+t0VJZevO61H6Let5Gcys58hxtT6IEGzBky0hnT7/OihcYGV69XxjsiZWtV+KARxUjfY+0Mbv32IsE74Gis8EE2htV20MwPE9rCY+2LAwWyJGFZ2psvuBbuxghSfwdIUtv65Zje2sIhmz2vI8gP9IvxnJGvHg+y9z4NYef0VxF/t8yR6M6ts6ZOyt2S87elz3XmPUrEjQk7rRnollkNrl2G8ACbQmPxcHibcnxTq4MmSF7gGAsW8UX/KfOyNtIBxlkbmMb6uDGRvjgg4a+OTccfXDv6dcZ8TLiAAcK80OdzSNrzOYQORddxrFXMYK2dWP++gub+bLnXFqfIkFD4k57rsQ+eM0sC4B6Jp5FcYZiV2jzBx8hGYKHILFbGMbkg2hr3+kLnDzRWZ/I7KcxewYy/Z8VL9YVcxQVMGJO955D88UeHdhccbG1iyvzy9o7OiZEgjZbd9oToJDIUmHilwJ8SWereoLartL4ZQFDvRWuzG0Ga7Kt9kbG0cXE+kSGX95Xk221Pyte0bx5DGwOe3j69vc8pm8ImI1j1hsx4ovFRO85pm9/72OR4J0RtQXHZC8FaEaUd3YpNWdXYxZqFCjUIduzENhcLJaelxpRLsm39PVseIGFJ5po7EaUtN27EAckBly02CC9tiytvbbdFuciwQ1QtYf6TDiLry3R1bBts/e5kU6UxR7lr/cpyhIInAjfPbDzvrX9HYEXRAMerDkuWi3Z4S+ytr71fctzu3hEF64j51IkuNGssyjt2ZU9Y/O3nNHVcCNXhs0SKPaCBP/Z8HPp6j1seLAh/bUF8iNA7DkSPuITgY5fkU5ro3q+1MeReOET6wts2HMHAsGBC1iBDWRja452yPYqYEOfbBxbwSfDE585pm6vuTQ//F4k6NHY4JhFCAmyMG1x+kWxQZdlkwQTi9J83sNf+qDPqC/8oZ6AMp9oa4RdHnDHgGX1EIgFb9t8b7zwAyxYV3Yx8CSCzxCjn0OysL2KzaVlxMxZXlVMywAABz1JREFUS8D4uPdcLo1fJLiEzJ3rWbhsBMzZC35aBrEH0YAHWYEFBcEd3f7S7ggcjXyXSHpvvCAUMLJC//jWEh1rzfCytlvvzRfWjxUyPeaWObbCMWTJhs6RRSR4JPrq+wkCkA0ZjGXOHB8dIDgI6ZhvBHOPpJ8MaKMTfIE8fLFbSn+RPQI7yA//fLFMufX5CP+8X3YsEjQktD8cAYLHbpsIGLIbNup8cO/tqJEg/ZKhHk3S4NRmffjVZlv42bbbGjtIsPWDPltfaMfc7nWn0Ru3SLCHjmS7IgDZGAnSMZkC50aGbSaxl3P0SxD7ciRJ0zdE4285wcrXGRktPVbwY7nnMRcrSLrNBv2FhP7Ak0z/DEUkeIZZkA+vEYhukXh+RMAQ5EdlDpFfnqT3JmhPgAaeZdJ2+3kUyYBLO09GysiMxNs2No699yLBvRFXfzcjcJagaQfgH/i3sj3PufUlw7LngxFx7+mP7wuMuIhZBu0zft/uiGOR4BGoq08hsAEClmHx+AAiPFshU7VHG2ciaJHg2VaK/BECNyJgz+MgmiNfJC25byTN/kxFJHim2ZAvQqCIALedZ31swNDORoD4JBIsLjqpCwEhcG0ERILXnj95LwSEQBEBkWARQKkLASFwbQREgteeP3kvBIRAEQGRYBFAqQsBIXBtBESC154/eS8EhEARAZFgEUCpCwEhcG0ERILXnj95LwSEQBEBkWARQKkLASFwbQREgteeP3kvBIRAEQGRYBFAqQsBIXBtBESC154/eS8EhEARAZFgEUCpv2wE7GOvfMfvTJ+H2mJW7CswfKXmzB9pWDt2keBaxCZuz+eX+PAlGwudwoc6OY8+HGof7xyBhADCptmHPKKvI7e26MN0sm/kEZjtZ/Bbe5zzQc/o/96wILf+sg9/8ul6+4w8bTP/Il/W1Nn8jHwy3z6uusZ+r631DdEzbyM49+ydSSYSPNNsHOyLLXT/uSMjwWjRj5IghIe+D14jxVHigECzthCR9z2CExuQXEuC+EYfRsyQPueZPesDe6NtTWft3ubH47hk494k6PthnEd9ut/7ca9jkeC9kJzAjgWZD2aC2zI4X89wR0iQNhGBok/mBiGNBPUICZKVLd2mQWoELv7QriVBCLQNbF9n2aHfG2HaF5OX+r7X0rD5GcGrQoLg4MfJMVhQ2HPeroV7jfEIOyLBI1A/aZ8WZH6BQxYWUBCRf+41QoJZNkXAtYQUwZORIH7RZqkwJhsX42n7NIL0+rTv2fRtIUDf1rCENCBJiIM9BAZuRjIt8dKntffkQ19mMyJBxmM2/ZyhR3tk2LY29IvP7K3O8PHjio7xg7FGj0ii9mevEwmefYZ29M+CzAeDBRRuQB5sVjISJMgIsF6w0JcnD7Pd7mlDf0sFO5atLLWx+ogEIZ7WvpEHuESFPo1M7fbZ2hmW2LULB/2Ch/lpOoY3e+SWYSJH3/owmy0J2hxZP5xjx8Zj4zDCxQ54+r6s76W5Ml9tfCJBQ0L7qRCwILOgZHAWYBwbqZk8I0ELvqXAwia27kGCBLiRRzYpEQlGJGv+g8tSsUwKffCxEmFpROPtefLl2AjS7DAmyAqCM5ueBKn3ZGZ6fjw2Du8ffvsLmtnxts2W7c1/+rM1YLIr75UJXnn27uy7BZlf4J4E6Y4gJcAImowEjTT3IEHzaQSSiAQ9GZkNIw9PWibL9oalJxVwxU9f8AUcrb3HnnZgB+lgx9p4m0sYm11sRONgXtmsRLZNNvteJDj7DK8YnwWCD8SWBDEHYZBJZCRIW4Le22vdwY4PxlZu59ihv6hABD6ridr4uogE8SPKwlrS8nZ6x4alJyyRYA+x42QiweOwP13PFrietCIStOwDgshIAuKCNLHdFrPjiaJtY+c9EoS8vM+ms7SPSBAbEKEv2GzrvLx3bFj6sfVIEFu33A7TD9i0jwI8XsoEezOl/22uj84Lk1rgekKJSBBYIA1u04wEuW0jiKmDZLhdtgKRUBcRgs/ujBSxweZt+KA2u7anX3RHS0SC1reRiY3HYzFqn3aGZTRmbwdfDAN7/tf6YJlyZBNbzAUYGF42N2ZXJOgRf36sTPA5Ji+2xoLMB/4SCdKWwDMSpJ3pcWwBaGAiM5KE4CBGC3bfptUz2RIJEvjmg7XN9hEJokPfRsDsjXwye5HcsFxDgtgBE4+TxyOyaX17323OTFckaCjFe5FgjMuLrLUgMzK7FQSCzwJwjQ3LYIwkve4SCfo2OhYCtyAgErwFtUl17kGCZGZkWnZrtgYq9CxzghDtGBsiwTVIqu0aBESCa9CavK2RIJnY2ltMoEEfIuv9JGYUQkiQjNTf5t2SXY72p3YvFwGR4Mud+7uOnBcLPMuqECDEa/o811rzsuOug5GxF4WASPBFTfd2gyUD9C8VyOTWFns7ip1b9Nf2p/ZCAAREgloHQkAIvGgERIIvevo1eCEgBESCWgNCQAi8aAT+P2P6OocfhZE1AAAAAElFTkSuQmCC\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why increasing the concentration of N<sub>2</sub>O<sub>5</sub> increases the rate of reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write the rate expression for this reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the value of the rate constant, <em>k</em>, giving its units.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(iv).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>use colorimeter<br/><em><strong>OR</strong></em><br/>change in colour<br/><em><strong>OR</strong></em><br/>change in volume<br/><em><strong>OR</strong></em><br/>change in pressure ✔</p>\n<p><em>Accept suitable instruments, e.g. pressure probe/oxygen sensor.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>point correct ✔</p>\n<p>straight line passing close to all points <em><strong>AND</strong> </em>through origin ✔</p>\n<p><em><br/>Accept free hand drawn line as long as attempt to be linear and meets criteria for M2.</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>greater frequency of collisions «as concentration increases»<br/><em><strong>OR</strong></em><br/>more collisions per unit time «as concentration increases» ✔</p>\n<p><em><br/>Accept “rate/chance/probability/likelihood” instead of “frequency”.</em></p>\n<p><em>Do <strong>not</strong> accept just “more collisions”.</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>rate = <em>k</em>[N<sub>2</sub>O<sub>5</sub>] ✔</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>k</em> = <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mo>∆</mo><mi>rate</mi></mrow><mrow><mo>∆</mo><mfenced close=\"]\" open=\"[\"><mrow><msub><mi mathvariant=\"normal\">N</mi><mn>2</mn></msub><msub><mi mathvariant=\"normal\">O</mi><mn>5</mn></msub></mrow></mfenced></mrow></mfrac></math> ✔</p>\n<p>«<em>k</em> = <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>75</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>«</mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo> </mo><msup><mi>min</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>»</mo></mrow><mrow><mn>25</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>«</mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>»</mo></mrow></mfrac></math>= » 0.030 «min<sup>–1</sup>» ✔</p>\n<p>min<sup>–1</sup> ✔</p>\n<p><em><br/>M1 can be awarded from correct M2 if not explicitly stated.</em></p>\n<p><em>Accept k = gradient.</em></p>\n<p><em>Accept values in the range 0.028–0.032.</em></p>\n<p><em>Award <strong>[3]</strong> for correct final answer.</em></p>\n<div class=\"question_part_label\">b(iv).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(iv).</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "tools"
    ],
    "subtopics": [
      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
      "reactivity-2-3-how-far-the-extent-of-chemical-change",
      "tool-1-experimental-techniques",
      "tool-3-mathematics"
    ]
  },
  {
    "question_id": "21M.2.HL.TZ1.7",
    "Question": "<div class=\"specification\">\n<p>Oxygen exists as two allotropes, diatomic oxygen, O<sub>2</sub>, and ozone, O<sub>3</sub>.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw a Lewis (electron dot) structure for ozone.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Discuss the relative length of the two O−O bonds in ozone.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why there are frequencies of UV light that will dissociate O<sub>3</sub> but not O<sub>2</sub>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain, using equations, how the presence of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mtext>CCl</mtext><mtext>2</mtext></msub><msub><mtext>F</mtext><mtext>2</mtext></msub></math> results in a chain reaction that decreases the concentration of ozone in the stratosphere.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"78\" src=\"data:image/png;base64,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\" width=\"437\"/>✔</p>\n<p><em>Accept any combination of lines, dots or crosses to represent electrons.</em></p>\n<p><em>Do <strong>not</strong> accept structures that represent 1.5 bonds.</em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>both equal ✔</p>\n<p>delocalization/resonance ✔</p>\n<p><em><br/>Accept bond length between 121 and 148 pm/ that of single O−O bond and double O=O bond for M1.</em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>bond in O<sub>3</sub> is weaker<br/><em><strong>OR</strong></em><br/>O<sub>3</sub> bond order 1.5/&lt; 2 ✔</p>\n<p><em><br/>Do <strong>not</strong> accept bond in O<sub>3</sub> is longer for M1.</em></p>\n<p><br/>lower frequency/longer wavelength «UV light» has enough energy to break the O–O bond in O<sub>3</sub> «but not that in O<sub>2</sub>» ✔</p>\n<p><em><br/>Accept “lower frequency/longer wavelength «UV light» has lower energy”.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mtext>CCl</mtext><mtext>2</mtext></msub><msub><mtext>F</mtext><mtext>2</mtext></msub><msub><mtext>(g) →∙CClF</mtext><mtext>2</mtext></msub><mtext>(g) Cl</mtext><mo>∙</mo><mtext>(g)</mtext></math> ✔</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mtext>Cl•(g)+O</mtext><mtext>3</mtext></msub><msub><mtext>(g)→O</mtext><mtext>2</mtext></msub><mtext>(g)+ClO•(g)</mtext></math><br/><em><strong>AND</strong></em><br/><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mtext>ClO∙(g)+O</mtext><mtext>3</mtext></msub><msub><mtext>(g)→2O</mtext><mtext>2</mtext></msub><mtext>(g)+Cl</mtext><mo>∙</mo><mtext>(g)</mtext></math> ✔</p>\n<p><em><br/>Do <strong>not</strong> penalize missing radical.</em></p>\n<p><em>Accept:for M2:</em><br/><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mtext>Cl∙(g) + O</mtext><mtext>3</mtext></msub><msub><mtext>(g) → O</mtext><mtext>2</mtext></msub><mtext>(g) + ClO</mtext><mo>∙</mo><mtext>(g)</mtext></math><br/><em><strong>AND</strong></em><br/><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mtext>ClO∙(g) + O(g) → O</mtext><mtext>2</mtext></msub><mtext>(g) + Cl</mtext><mo>∙</mo><mtext>(g)</mtext></math></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
    "topics": [
      "structure-2-models-of-bonding-and-structure"
    ],
    "subtopics": [
      "structure-2-2-the-covalent-model"
    ]
  },
  {
    "question_id": "21M.2.HL.TZ2.1",
    "Question": "<div class=\"specification\">\n<p>Limestone can be converted into a variety of useful commercial products through the lime cycle. Limestone contains high percentages of calcium carbonate, CaCO<sub>3</sub>.</p>\n<p><img height=\"218\" 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\" style=\"display: block; margin-left: auto; margin-right: auto;\" width=\"538\"/></p>\n</div><div class=\"specification\">\n<p>Thermodynamic data for the decomposition of calcium carbonate is given.</p>\n<p><img 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\"/></p>\n</div><div class=\"specification\">\n<p>The second step of the lime cycle produces calcium hydroxide, Ca(OH)<sub>2</sub>.</p>\n</div><div class=\"specification\">\n<p>Calcium hydroxide reacts with carbon dioxide to reform calcium carbonate.</p>\n<p style=\"text-align: center;\">Ca(OH)<sub>2 </sub>(aq) + CO<sub>2 </sub>(g) → CaCO<sub>3</sub> (s) + H<sub>2</sub>O (l)</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calcium carbonate is heated to produce calcium oxide, CaO.</p>\n<p style=\"text-align:center;\">CaCO<sub>3 </sub>(s) → CaO (s) + CO<sub>2 </sub>(g)</p>\n<p>Calculate the volume of carbon dioxide produced at STP when 555 g of calcium carbonate decomposes. Use sections 2 and 6 of the data booklet.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the enthalpy change of reaction, <em>ΔH</em>, in kJ, for the decomposition of calcium carbonate.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the change in entropy, Δ<em>S</em>, in J K<sup>−1</sup>, for the decomposition of calcium carbonate.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the temperature, in K, at which the decomposition of calcium carbonate becomes spontaneous, using b(i), b(ii) and section 1 of the data booklet.</p>\n<p>(If you do not have answers for b(i) and b(ii), use Δ<em>H</em> = 190 kJ and Δ<em>S</em> = 180 J K<sup>−1</sup>, but these are not the correct answers.)</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Sketch an energy profile for the decomposition of calcium carbonate based on your answer to b(i), labelling the axes and activation energy, <em>E</em><sub>a</sub>.</p>\n<p style=\"text-align:center;\"><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State how adding a catalyst to the reaction would impact the enthalpy change of reaction, Δ<em>H</em>, and the activation energy, <em>E</em><sub>a</sub>.</p>\n<p><img height=\"174\" src=\"data:image/png;base64,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\" width=\"679\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write the equation for the reaction of Ca(OH)<sub>2 </sub>(aq) with hydrochloric acid, HCl (aq).</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the volume, in dm<sup>3</sup>, of 0.015 mol dm<sup>−3</sup> calcium hydroxide solution needed to neutralize 35.0 cm<sup>3</sup> of 0.025 mol dm<sup>−3</sup> HCl (aq).</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Saturated calcium hydroxide solution is used to test for carbon dioxide. Calculate the pH of a 2.33 × 10<sup>−2 </sup>mol dm<sup>−3</sup> solution of calcium hydroxide, a strong base.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the mass, in g, of CaCO<sub>3 </sub>(s) produced by reacting 2.41 dm<sup>3</sup> of 2.33 × 10<sup>−2</sup> mol dm<sup>−3</sup> of Ca(OH)<sub>2</sub> (aq) with 0.750 dm<sup>3</sup> of CO<sub>2</sub> (g) at STP.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>2.85 g of CaCO<sub>3</sub> was collected in the experiment in d(i). Calculate the percentage yield of CaCO<sub>3</sub>.</p>\n<p>(If you did not obtain an answer to d(i), use 4.00 g, but this is not the correct value.)</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how <strong>one</strong> calcium compound in the lime cycle can reduce a problem caused by acid deposition.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>n</em><sub>CaCO3</sub> = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>555</mn><mo> </mo><mi mathvariant=\"normal\">g</mi></mrow><mrow><mn>11</mn><mo>.</mo><mn>09</mn><mo> </mo><mi mathvariant=\"normal\">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></mfrac></math>=» 5.55 «mol» ✓</p>\n<p>«<em>V</em> = 5.55 mol × 22.7 dm<sup>3</sup> mol<sup>−1</sup> =» 126 «dm<sup>3</sup>» ✓</p>\n<p><em><br/>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>Accept method using pV = nRT to obtain the volume with p as either 100 kPa (126 dm<sup>3</sup>) or 101.3 kPa (125 dm<sup>3</sup>).</em></p>\n<p><em>Do not penalize use of 22.4 dm<sup>3</sup> mol<sup>–1</sup> to obtain the volume (124 dm<sup>3</sup>).</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>ΔH</em> =» (−635 «kJ» – 393.5 «kJ») – (−1207 «kJ») ✓</p>\n<p>«<em>ΔH</em> = + » 179 «kJ» ✓</p>\n<p><em><br/>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>Award<strong> [1 max]</strong> for −179 kJ.</em></p>\n<p><em>Ignore an extra step to determine total enthalpy change in kJ: 179 kJ mol<sup>-1</sup> x 5.55 mol = 993 kJ.</em></p>\n<p><em>Award <strong>[2]</strong> for an answer in the range 990 - 993« kJ».</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«Δ<em>S</em> = (40 J K<sup>−1</sup> + 214 J K<sup>−1</sup>) − (93 J K<sup>−1</sup>) =» 161 «J K<sup>−1</sup>» ✓</p>\n<p><em><br/>Ignore an extra step to determine total entropy change in JK<sup>–1</sup>: 161 J mol<sup>–1</sup>K<sup>–1</sup> x 5.55 mol = 894 «J mol<sup>–1</sup>K<sup>–1</sup>»</em></p>\n<p><em>Award <strong>[1]</strong> for 894 «J mol<sup>–1</sup>K<sup>–1</sup>».</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«spontaneous» if Δ<em>G</em> = Δ<em>H</em> − <em>T</em>Δ<em>S</em> &lt; 0<br/><em><strong>OR</strong></em><br/>Δ<em>H</em> &lt; <em>T</em>Δ<em>S</em> ✓</p>\n<p>«<em>T</em> &gt;<math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>179</mn><mo> </mo><mi>kJ</mi></mrow><mrow><mn>0</mn><mo>.</mo><mn>16</mn><mo> </mo><mi>kJ</mi><mo> </mo><msup><mi mathvariant=\"normal\">K</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></mfrac></math>=» 1112 «K» ✓</p>\n<p><em><br/>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>Accept “1056 K” if both of the incorrect values are used to solve the problem.</em></p>\n<p><em>Do <strong>not</strong> award M2 for any negative T value.</em></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>endothermic sketch ✓</p>\n<p>x-axis labelled “extent of reaction/progress of reaction/reaction coordinate/reaction pathway” <em><strong>AND</strong> </em>y-axis labelled “potential energy/energy/enthalpy✓</p>\n<p>activation energy/<em>E</em><sub>a</sub> ✓</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p><em><br/>Do <strong>not</strong> accept “time” for x-axis.</em></p>\n<div class=\"question_part_label\">b(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Δ<em>H</em> same <em><strong>AND</strong> </em>lower <em>E</em><sub>a</sub> ✓</p>\n<div class=\"question_part_label\">b(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Ca(OH)<sub>2 </sub>(aq) + 2HCl (aq) → 2H<sub>2</sub>O (l) + CaCl<sub>2 </sub>(aq) ✓</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>n</em><sub>HCl</sub> = 0.0350 dm<sup>3</sup> × 0.025 mol dm<sup>−3</sup> =» 0.00088 «mol»</p>\n<p><em><strong>OR</strong></em><br/><em>n</em><sub>Ca(OH)2</sub> = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>1</mn><mn>2</mn></mfrac></math> <em>n</em><sub>HCl</sub>/0.00044 «mol» ✓</p>\n<p><br/>«<em>V</em> = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mstyle displaystyle=\"true\"><mfrac><mn>1</mn><mn>2</mn></mfrac><mo>×</mo><mn>0</mn><mo>.</mo><mn>00088</mn><mo> </mo><mi>mol</mi></mstyle><mrow><mn>0</mn><mo>.</mo><mn>015</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow></mfrac></math> =» 0.029 «dm<sup>3</sup>» ✓</p>\n<p><em><br/>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>Award <strong>[1 max]</strong> for 0.058 «dm<sup>3</sup>».</em></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><strong>Alternative 1:</strong></em></p>\n<p>[OH<sup>−</sup>] = « 2 × 2.33 × 10<sup>−2 </sup>mol dm<sup>−3</sup> =» 0.0466 «mol dm<sup>−3</sup>» ✓</p>\n<p>«[H<sup>+</sup>] = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>1</mn><mo>.</mo><mn>00</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>14</mn></mrow></msup></mrow><mrow><mn>0</mn><mo>.</mo><mn>0466</mn></mrow></mfrac></math> = 2.15 × 10<sup>−13 </sup>mol dm<sup>−3</sup>»</p>\n<p>pH = « −log (2.15 × 10−13) =» 12.668 ✓</p>\n<p> </p>\n<p><em><strong>Alternative 2:</strong></em></p>\n<p>[OH<sup>−</sup>] =« 2 × 2.33 × 10<sup>−2</sup> mol dm<sup>−3</sup> =» 0.0466 «mol dm<sup>−3</sup>» ✓</p>\n<p>«pOH = −log (0.0466) = 1.332»</p>\n<p>pH = «14.000 – pOH = 14.000 – 1.332 =» 12.668 ✓</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>Award <strong>[1 max]</strong> for pH =12.367.</em></p>\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>n</em><sub>Ca(OH)2</sub> = 2.41 dm<sup>3</sup> × 2.33 × 10<sup>−2 </sup>mol dm<sup>−3</sup> =» 0.0562 «mol» <em><strong>AND</strong></em></p>\n<p>«<em>n</em><sub>CO2</sub> =<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>750</mn><mo> </mo><msup><mi>dm</mi><mn>3</mn></msup></mrow><mrow><mn>22</mn><mo>.</mo><mn>7</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow></mfrac></math>=» 0.0330 «mol» ✓</p>\n<p>«CO<sub>2</sub> is the limiting reactant»</p>\n<p>«<em>m</em><sub>CaCO3</sub> = 0.0330 mol × 100.09 g mol<sup>−1</sup> =» 3.30 «g» ✓</p>\n<p> </p>\n<p><em>Only award ECF for M2 if limiting reagent is used.</em></p>\n<p><em>Accept answers in the range 3.30 - 3.35 «g».</em></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>2</mn><mo>.</mo><mn>85</mn></mrow><mrow><mn>3</mn><mo>.</mo><mn>30</mn></mrow></mfrac></math> × 100 =» 86.4 «%» ✓</p>\n<p> </p>\n<p><em>Accept answers in the range 86.1-86.4 «%».</em></p>\n<p><em>Accept “71.3 %” for using the incorrect given value of 4.00 g.</em></p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«add» Ca(OH)<sub>2</sub>/CaCO<sub>3</sub>/CaO <em><strong>AND</strong> </em>to «acidic» water/river/lake/soil<br/><em><strong>OR</strong></em><br/>«use» Ca(OH)<sub>2</sub>/CaCO<sub>3</sub>/CaO in scrubbers «to prevent release of acidic pollution» ✓</p>\n<p> </p>\n<p><em>Accept any correct name for any of the calcium compounds listed.</em></p>\n<div class=\"question_part_label\">e.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">e.</div>\n</div>",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions",
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "reactivity-1-2-energy-cycles-in-reactions",
      "reactivity-1-4-entropy-and-spontaneity",
      "reactivity-2-1-how-much-the-amount-of-chemical-change",
      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
      "reactivity-3-1-proton-transfer-reactions",
      "structure-1-5-ideal-gases",
      "structure-3-1-the-periodic-table-classification-of-elements"
    ]
  },
  {
    "question_id": "21M.2.HL.TZ2.6",
    "Question": "<div class=\"specification\">\n<p>Bromate and bromide ions react in acidic aqueous solution.</p>\n<p style=\"text-align: center;\">BrO<sub>3</sub><sup>− </sup>(aq) + 5Br<sup>− </sup>(aq) + 6H<sup>+ </sup>(aq) → 3Br<sub>2 </sub>(l) + 3H<sub>2</sub>O (l)</p>\n<p>The following rate data was collected.</p>\n<p><img height=\"169\" 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\" style=\"display: block; margin-left: auto; margin-right: auto;\" width=\"479\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the rate expression for the reaction.</p>\n<p><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAsQAAAFyCAYAAADyLsx2AAAgAElEQVR4Ae3dz2scV7434PlPJNBKBoFNNl5lFS6yFiZkFchmLoogs8jL7LKwcTZZvNwBiZgL2bxzbRICwwszLfIydyAkiOFCGByazCJchBYXBr+m30sWQYjBGNN8X+rHqa6urla3PGVbpX4GglrVVafOec7p8adOnyr9IvyPAAECBAgQIECAwAoL/GKF267pBAgQIECAAAECBGIqEG+srYf/GBgDxoAxYAwYA8aAMWAMrMIYSNcCM4E4veEnAQIECBAgQIAAgasqkAX+9D+BOEn4SYAAAQIECBAgsDICAvHKdLWGEiBAgAABAgQItAkIxG0qthEgQIAAAQIECKyMgEC8Ml2toQQIECBAgAABAm0CAnGbim0ECBAgQIAAAQIrIyAQr0xXaygBAgQIECBAgECbgEDcpmIbAQIECBAgQIDAyggIxCvT1RpKgAABAgQIECDQJiAQt6nYRoAAAQIECBAgsDICAvHKdLWGEiBAgAABAgQItAkIxG0qthEgQIAAAQIECKyMgEC8Ml2toQQIECBAgAABAm0CAnGbim0ECBAgQIAAAQIrIyAQr0xXaygBAgQIECBAgECbgEDcpmIbAQIECBAgQIDAyggIxCvT1RpKgAABAgQIECDQJiAQt6nYRoAAAQIECBAgsDIC/Q/E41EMB/uxt7keWWOy/7Z29+MPRydx9iLdOBrE3tqN2Bs8fpGjX/yYsx/j4e7Nog2b9+LodPziZXV5ZOb7x2GM8uo8jsPdG7GxO4hRl+d4obKex2jwYWysfRiHo+d5CePRMP59OIpC7jLV9YUauPxBU33UdtizGA2PYjh61vbmUtueD/fjjfLzlT5n6bN2WJmfX1TWP4f778dWVc7N2Nv/33F0cnr+gd4lQIAAAQIvWSD7Ny397xfpRfaz/kZ9+6V6XYbILABX/yhXAfla7Ow/ungofi2BOIW79+LhydNLRHwWw/1bsXF9P4ZF5rxEdWtU5fkwDq6vxxv7wyiquiqBeHEfFWH2VhwMX+gSMYduLWP8JI7u3Y6NzV/H4ZPzwvY4zo6/iL3NLAAPqmA+CcjvxMHw50aHpl/L9lUhurzwvRQXZamOfhIgQIBA3wXqubdngfjnGO6/Exvb92N41pxNHcfZ8H7srJ33D+2crnutgXgy2zmndq948+Kw9YorNP90AvHci5bWMDtfsvWdeWWMTx7E24u+UTl7FAfbN+ZcoJ73OW6tio0ECBAgQKBzgf4G4tOjuLt5Ld5+cFx+Rd6wGR/Hw9vXYuvOUeRfyOZB92b88+675Ve22Wzs3+Ps5Os4SEsV1m7H3f2PYqf+D3w145yWZNyOu58/KpcQlDO7m+/G3i/L5Q63H8RJM59HxHj0KL64c3tqWUcxqz07AzaZ5Uxtmn+eySxbWb/tO/FF7SvsmffXrsXOnS+rWbqIccMgm8X7Ok7OTovZ4WpmLpth/M/Gkonsq/gv4+72tbJd0zOAEcUs7dbub+LfqrZn5x/EycxFTEQRrt6Mu0c/lQ3/KY7uvBkbNdPJPqPJkonHf8lnh7PBnP+Xz2iXM8TbH8XBEufOT9g6Rp7GjOGUcdMvW7JzP75NywDKMvf+5ZPJsp6p4/PB0Vj2Ux9jWc2a5zivj6ZngYsgm8buZAZ9/nhMY2765/mBOPVZ2zj9X/H9N/dia23+tx+TPk39Pn3uub/ltpM2zd3PGwQIECBAYIFAbwPxvH+gJ+19GicP3pt83V/+41nMKD+N0Q8/xui0nLkqA9p49F3cz8NxWkNczl5tfhAPj7NYnb76Tcsx0lKH8vfxKP76Q1rDOqlJ5DNk12Jr97P4PlvHOR7F959maynTDHYqZ94McXq/cZ6q3C/iOA+Yp3H84INJuemiYDe9/yxGjz7Lg1m6UBg/GcSvNtdj64NBPBmn9q2XFxLNGeL6MoQ0C38z9j79Lr9AqPyqWfty/+xCY3AcZ5lfPnM/50KmeZGT/56FueRS9mm+xvrZJBBna4jnzRCv3Yy9Bz8W586/tp9z7qy75o6RrO+SYcO4rPPOvW+Ki6S0FjyF+FTm5vtx/1E2NtLxKSAuGmMRF+uj2rgrX858VqpxM288LlFGtku+ZOKdqNoebeP0JL5ftOymHKezF4Kz9bCFAAECBAi8DIGeB+IUKtpo0j/OZZjKg0k9DI3j9Kg5c5W2lYG4GdDy07SFsvPqkcps7JPCaj6D3ajrTHPS+/Uylil3pqCI8rzFjXFlW+bO3p0XiGdnb7OzTc/2lYE4hcN8h2Lmvv3GvOky8yC3+VbsvPVWOWtcvF+E+WRS9u+8QFw/dzlj3X7uFIgXjZGskbVvH8pxNXe9etv79eMXjrG/Fxd2S/fRbJ9PB+IXGzdFGZOZ5mo2Pr+JNV0spD6pj9NyDE31Q7OO9Qut5nt+J0CAAAECL1+g54H4vBuF2maI08xvBtsMeyV2HmCK/Ypw1x4CilnLp9OzlK39Nec8UQ9/KUikmdBmQW3vpzA7p37VTUfZsoY/xeFgEIeD306WN+Tvl3WrZmCb523WvRZcZgJoeexUwKvtXxXdti29WQ9rP+dBcOvOIL7dv1XMWOdlN76eT3WfqU/bedq2pXOnQFwfI8sYpxnfrB+ypQy/i8Ov0lM52srMzjepx5N8De6cPszbls0g36rNktfqm79s9lHz/WzyPHtCRPqszNu/Ph4XlZHeP42Twb3YyULx3Au7eedLZUwuMMwQ10y8JECAAIFXKtDbQBxTwavFrD4Ll71dC7rF3nP+oa7tNz3b2XKO6ivieUE2O2bOeVIoymfO2gJv/Xxt75dh7bxHtKWnAGRLFh78Pg4HX8XR8V/ytdXFLGlZtxQq66fMXzfrPglyo5kAWh5czogWa7tr+1dlt22r3oyiX9+Mu9/8OR7ezmaG/7uYyb/+m/j26/qMfsNkpj5t52nbVjt3re+LrUsYp8PPTuJoMIg/pMeKbX8SR9nymJkyswMm9SgCcQr5qbD6z4v2Uf3Y4vVygbis05yZ3Oky6ucog3S+brvRJ/lu9Yuc9ieoLP6c1c/nNQECBAgQ6F6gv4E4zrs7Pa1VrQWNmWDS/g918Y9zfclEmv1qw28LAM392s8z9bX7wmDddp5Ubq2NjVO3Bo38QmK9fJZwmgGtf8VdL+ScQDw1wz05Zvqck+A3eW5x27bJ8ZXL9q34p7RMoJwZ3tm+UbvBrmHyUgLxYuNazauXU2No6gKh3CW/WLtR3BBa9kda010VUr24aB9VB1YvpsNsalOjz5sXkNXRxYvpMupv1meWG32SdlvmKRPpwq5aX78eG+miIpXjJwECBAgQeEkCPQ7E2eRr+ccs6nftV0+FSDe+lXIzgTg7PrupbnLDVHVTWPWUiTJ0r92Oj4+e5E+zqPZZama3PHd1nnk3Mc0JElWnz3m/LHcSHNJNc+U62HIWvbrp6ew4DtMTF8olFdM3bGX3+30TH2dPjai3L4WV2sxmdntYcYPcEjfVVcs3sgYtCMSRAuB6LfyWx6zV1/c2TYp9JsGy7Txt2yrk9tncBcbP85sSJwbRvGkuH3frsZFuzEyBr3p276Ix1rypblEf1dqTXuZ1qF04LRyP6cDJz/ZA/CxGR5/EztrN+NXgbzGee2GXbtacfsLJ5Okd6ebScg16flNmsXbaMopJH3hFgAABAi9PoN+BOHOpAvBkHWbrX6prC8T54fXHoc157Nrnd/J1khlWsU40/XGBZiib31HnP+ZqUTnz32+Wu7H5fhwM0hrWFJCTTbZ04sviMXNVyG0+0qsZWsqAnF8k/McLPXZt+ia2BaE065N8XW09/KaQXJ/VbJqkcJa1NVvC8l+NumZ9s+DcS42RLNw2jKcePZfNbNYefZeXeS12Pvqoeuza1GPZ0hieO8byHRqPxjuvj1r+wmK1dCZ9M5B9bOrjvvjrjtUft2kZxkUgTuOo9nP7Tjys/ipks0+mC5oE4HR8tuZ63l+qyy4U3p3/WMWs6NzWY9emlf1GgAABAi8i0P9A/CKtdgyBVyUwJ2S/qtP38zzlhUv1qLp+tkKtCRAgQKA/AgJxf/pKTfsoIBC/cK/ly3mu34uj05a/dPPCpTqQAAECBAjMCgjEsya2EOhOQCC+gGV5w19ac56tgReIL+BnVwIECBB4UQGB+EXlHEeAQPcC9fXOlkx076tEAgQIEGgVEIhbWWwkQIAAAQIECBBYFQGBeFV6WjsJECBAgAABAgRaBQTiVhYbCRAgQIAAAQIEVkVAIF6VntZOAgQIECBAgACBVgGBuJXFRgIECBAgQIAAgVUREIhXpae1kwABAgQIECBAoFVAIG5lsZEAAQIECBAgQGBVBATiVelp7SRAgAABAgQIEGgVEIhbWWwkQIAAAQIECBBYFQGBeFV6WjsJECBAgAABAgRaBQTiVhYbCRAgQIAAAQIEVkVAIF6VntZOAgQIECBAgACBVgGBuJXFRgIECBAgQIAAgVUREIhXpae1kwABAgQIECBAoFVAIG5lsZEAAQIECBAgQGBVBATiVelp7SRAgAABAgQIEGgVEIhbWWwkQIAAAQIECBBYFQGBeFV6WjsJECBAgAABAgRaBQTiVhYbCRAgQIAAAQIEVkVAIF6VntZOAgQIECBAgACBVgGBuJXFRgIECBAgQIAAgVUREIhXpae1kwABAgQIECBAoFVAIG5lsZEAAQIECBAgQGBVBK5IIH4eo8GHsbF2Kw6GZ+19NxrE3tp6vLE/jOetezyOw90bsXF9P4atO3Rxji7K6KCe0UEZr8LzUtQzIl5FWxee45KMnb7U09ip/b/cos+7MV7DWuLzfkk+i8Z4rduM8QlGF+OzizKW6JNJpS/FqysSiC+FpUoQIECAAAECBAj0UEAg7mGnqTIBAgQIECBAgEB3AgJxd5ZKIkCAAAECBAgQ6KGAQNzDTlNlAgQIECBAgACB7gQE4u4slUSAAAECBAgQINBDAYG4h52mygQIECBAgAABAt0JCMTdWSqJAAECBAgQIECghwICcQ87TZUJECBAgAABAgS6ExCIu7NUEgECBAgQIECAQA8FBOIedpoqEyBAgAABAgQIdCcgEHdnqSQCBAgQIECAAIEeCgjEPew0VSZAgAABAgQIEOhOQCDuzlJJBAgQIECAAAECPRQQiHvYaapMgAABAgQIECDQnYBA3J2lkggQIECAAAECBHooIBD3sNNUmQABAgQIECBAoDsBgbg7SyURIECAAAECBAj0UEAg7mGnqTIBAgQIECBAgEB3AgJxd5ZKIkCAAAECBAgQ6KGAQNzDTlNlAgQIECBAgACB7gQE4u4slUSAAAECBAgQINBDAYG4h52mygQIECBAgAABAt0JCMTdWSqJAAECBAgQIECghwICcQ87TZUJECBAgAABAgS6ExCIu7NUEgECBAgQIECAQA8FBOIedpoqEyBAgAABAgQIdCcgEHdnqSQCBAgQIECAAIEeCgjEPew0VSZAgAABAgQIEOhOQCDuzlJJBAgQIECAAAECPRQQiHvYaapMgAABAgQIECDQnYBA3J2lkggQIECAAAECBHooIBD3sNNUmQABAgQIECBAoDsBgbg7SyURIECAAAECBAj0UEAg7mGnqTIBAgQIECBAgEB3AgJxd5ZKIkCAAAECBAgQ6KGAQNzDTlNlAgQIECBAgACB7gQE4u4slUSAAAECBAgQINBDAYG4h52mygQIECBAgAABAt0JCMTdWSqJAAECBAgQIECghwICcQ87TZUJECBAgAABAgS6ExCIu7NUEgECBAgQIECAQA8FBOIedpoqEyBAgAABAgQIdCcgEHdnqSQCBAgQIECAAIEeCgjEPew0VSZAgAABAgQIEOhOQCDuzlJJBAgQIECAAAECPRTofyAej2I42I+9zfXIGpP9t7W7H384OomzF+mQ0SD21m7E3uDxixz94sec/RgPd28Wbdi8F0en4xcvq8sjM98/DmOUV+dxHO7eiI3dQYy6PMcLlfU8RoMPY2PtwzgcPc9LGI+G8e/DURRyl6muL9TA5Q+a6qO2w57FaHgUw9GztjeX2vZ8uB9vlJ+v9DlLn7XDynypouxEgAABAgQunUD2b1r63y/Si+xn/Y369kv1ugyRWQCu/lGuAvK12Nl/dPFQ/FoCcQp378XDk6eXiPgshvu3YuP6fgyLzHmJ6taoyvNhHFxfjzf2h1FUdVUC8eI+KsLsrTgYvtAlYg7dWsb4SRzdux0bm7+OwycLwnbZP/UwvfE6Ljwbw8avBAgQIEAgE6jn3p4F4p9juP9ObGzfj+FZczZ1HGfD+7Gz9k4cDH++WE+/1kA8me28WKVf1t6Lw9bLOvOFyxWI5160tIbZCwLPK2N88iDeFmwvqGl3AgQIELhsAv0NxKdHcXfzWrz94Lj8irxBOz6Oh7evxdadozjN3sqD7s345913Yyv/6jebjf17nJ18HQdpqcLa7bi7/1Hs1P+Br2ac05KM23H380flEoJyZnfz3dj7Zbnc4faDOGnm84gYjx7FF3duF0siymUdxax2GTprX0dPZjlTm+afJ1smcLj/ftmm9djYvhNf1L7Cnnl/7Vrs3Pmy9vX5uGFwM/b2v46Ts9NidriqVzbD+J+NJRPZV/Ffxt3ta2W7smMHtbKLWdqt3d/Ev1Vtz84/iJOZi5iIIly9GXePfiob/lMc3XkzNmqmk31GkyUTj/+Szw5Xs4/5jHY5Q7z9URwsce78hK1j5GnMGE4ZN/2yJTv349uTfNRV427vXz6ZLOuZOj4fHI1lP/UxltWseY7z+mh6FrgIsmnsTmbQ54/HNOamf54fiFOfzR+n06XVf0vfjvxjM9j1Er0mQIAAAQIXFehtIJ73D/QE4GmcPHhv8nV/HnaywJjNKD+N0Q8/xuj0URxs36gC2nj0XdzPw3FaQ1zOQm9+EA+Ps4AzjrPjL2JvMy3HSP+Yl7+PR/HXH9Ia1klN4iw7z7XY2v0svs/WcY5H8f2nWYhNM9ipnHkzxOn9xnmqcr+I4zxgnsbxgw8m5aaLgt30/rMYPfosD2bpQmH8ZBC/2lyPrQ8G8WSc2rdeXkg0Z4jryxDSLPzN2Pv0u/wCofKrZu3L/bMLjcFxnGV++cz9nAuZ5kVO/nsW5pJL2af5Gutnk0CcrSGeN0O8djP2HvxYnLvsu7kXUXPHSNZ3ybBhXNZ55943xUVSWgueQnwqc/P9uP8oGxvp+LQ8ZtEYi7hYH9XGXfly5rNSjZt543GJMrJd8iUT70TV9pgzTmeLs4UAAQIECFwqgZ4H4hQq2kzTP85lmMqDST2IjeP06F5srdXLSNvKQNwMaPlp2kJZvYxmXVKZjX1SWM1nsBt1bRZRBY16GcuUO1NQRHne4sa4si1TBvVjzgvEs7O32ZGTGdxslrcMxCkc5jsUM/ftN+ZNl5kHuc23Yuett8pZ4+L9Isw3zOYF4vq5U33m3RS41BjJGln79qE8Zu569bb368cvHGN/Ly7slu6jev8Vr6cD8YuNm6KMyUxzNRuff9uRLhZSn9TH6Wx9bCFAgAABApdNoOeB+LyvWdtmiNPMb9YNzbBXdk0eYIr9inDXHgKKWcun07OUrb075zxRD38pSKSZ0GZBbe+nMDunflXoy5Y1/CkOB4M4HPx2srwhf7+sWzUD2zxvs+61GeKZAFoeOxXwavtXRbdtS2/Ww9rPeRDcujOIb/dvFTPWedmNr+dT3Wfq03aetm3p3GlZTX2MLGOcZnyzfsiWMvwuDr9KT+VoKzM736QeT/I1uHP6MG9bNoN8qzZLXqtv/rLZR833s8nz7AkR6bMyb//6eFxURnr/NE4G92InC8VLXdil4/wkQIAAAQKXS6C3gTimglcLan0WLnu7FnSLvecEg9p+07OdLeeoZm7nBdnsmDnnSaEon8FsC7z187W9X4a18x7Rlp4CkC1ZePD7OBx8FUfHf8nXVhcztGXdUqisnzJ/3az7JMiNZgJoeXA5I1osS6jtX5Xdtq16M4p+fTPufvPneHg7mxn+72Im//pv4tuv6zP6DZOZ+rSdp21b7dy1vi+2LmGcDj87iaPBIP6Q1nNvfxJH2fKYmTKzAyb1KAJxCvmpsPrPi/ZR/dji9XKBuKzT1Iz6pKzpMibbI13Y5eu2G31S381rAgQIECBwiQX6G4hjmadM1ILGTDCpz0ZOHnVWhOD6kok0+9XWi8sEgPbzTH3tvjBYt50nlVtrY6OKrYE+v5BYL58lnGZA533FfU4gTkGoEaCmzzkJfpPnFrdtq1U8Xchs34p/SssEypnhne0btRvsGiYvJRAvNq7VvHo5NYamLhDKXfI23ihuCC37I63prgqpXly0j6oDqxfTYTa1qdHnyT3dhFodXbyYLqP+Zn1mudEn9d28JkCAAAECl1igx4E4m3wt/5hF/a796qkQ6ca3Un8mEGfHp5vdijWQ1U1h1VMmytC9djs+PnqSP82i2mepmd3y3NV55t3EtChIzHm/LHcjzUZGummuXCtdzqJXNz2dHcdheuJCuaRi+oat7H6/b+Lj7KkR9fZVs9D1MJtukFviprpq+UbmUS+j7ZORAuB6LfyWx6zV14A3TYp9JsGy7Txt22p1OGeMzDN+nt+UODGI5k1zeZnrsZFuzEw3VFbP7l00xpo31S3qo1p70su8DrULp4XjMR04+dkeiJ/F6OiT2Fm7Gb8a/C3GCy/sJuV5RYAAAQIELpNAvwNxJlkF4Mk6zNa/VNcWdvLD649Dm/PYtc/v5OskM6xinWh6tFgzlM3v2vMfc7WonPnvN8vd2Hw/DgZpDWsKyMkmWzrxZfGYuSrkNh/pNf1Ytiog5xcJ//FCj12bvoFuQSitbsyrh98Ukuuzmk2TFM6ytmZLWP6rUdesbxace6kxkoXbhvHUo+caj77Ly7wWOx99VD12beqxbGkMzx1j+Q6NR+Od10ctf2GxWjqTvhnIPjb1cV/8dcfqj9u0DOMiEKdxVPu5fSceVn8VstknLQXNbErHpDXOMzvYQIAAAQIEXrpA/wPxSydyAgL/gMCckP0PlOhQAgQIECBAoGMBgbhjUMURmBIQiKc4/EKAAAECBC6jgEB8GXtFna6OgEB8dfpSSwgQIEDgygoIxFe2azWMAAECBAgQIEBgGQGBeBkl+xAgQIAAAQIECFxZAYH4ynathhEgQIAAAQIECCwjIBAvo2QfAgQIECBAgACBKysgEF/ZrtUwAgQIECBAgACBZQQE4mWU7EOAAAECBAgQIHBlBQTiK9u1GkaAAAECBAgQILCMgEC8jJJ9CBAgQIAAAQIErqyAQHxlu1bDCBAgQIAAAQIElhEQiJdRsg8BAgQIECBAgMCVFRCIr2zXahgBAgQIECBAgMAyAgLxMkr2IUCAAAECBAgQuLICAvGV7VoNI0CAAAECBAgQWEZAIF5GyT4ECBAgQIAAAQJXVkAgvrJdq2EECBAgQIAAAQLLCAjEyyjZhwABAgQIECBA4MoKCMRXtms1jAABAgQIECBAYBkBgXgZJfsQIECAAAECBAhcWQGB+Mp2rYYRIECAAAECBAgsIyAQL6NkHwIECBAgQIAAgSsrIBBf2a7VMAIECBAgQIAAgWUEBOJllOxDgAABAgQIECBwZQUE4ivbtRpGgAABAgQIECCwjIBAvIySfQgQIECAAAECBK6swBUJxM9jNPgwNtZuxcHwrL2zRoPYW1uPN/aH8bx1j8dxuHsjNq7vx7B1hy7O0UUZHdQzOijjVXheinpGxKto68JzXJKx05d6Gju1/5db9Hk3xmtYS3zeL8ln0RivdZsxPsHoYnx2UcYSfTKp9KV4dUUC8aWwVAkCBAgQIECAAIEeCgjEPew0VSZAgAABAgQIEOhOQCDuzlJJBAgQIECAAAECPRQQiHvYaapMgAABAgQIECDQnYBA3J2lkggQIECAAAECBHooIBD3sNNUmQABAgQIECBAoDsBgbg7SyURIECAAAECBAj0UEAg7mGnqTIBAgQIECBAgEB3AgJxd5ZKIkCAAAECBAgQ6KGAQNzDTlNlAgQIECBAgACB7gQE4u4slUSAAAECBAgQINBDAYG4h52mygQIECBAgAABAt0JCMTdWSqJAAECBAgQIECghwICcQ87TZUJECBAgAABAgS6ExCIu7NUEgECBAgQIECAQA8FBOIedpoqEyBAgAABAgQIdCcgEHdnqSQCBAgQIECAAIEeCgjEPew0VSZAgAABAgQIEOhOQCDuzlJJBAgQIECAAAECPRQQiHvYaapMgAABAgQIECDQnYBA3J2lkggQIECAAAECBHooIBD3sNNUmQABAgQIECBAoDsBgbg7SyURIECAAAECBAj0UEAg7mGnqTIBAgQIECBAgEB3AgJxd5ZKIkCAAAECBAgQ6KGAQNzDTlNlAgQIECBAgACB7gQE4u4slUSAAAECBAgQINBDAYG4h52mygQIECBAgAABAt0JCMTdWSqJAAECBAgQIECghwICcQ87TZUJECBAgAABAgS6ExCIu7NUEgECBAgQIECAQA8FBOIedpoqEyBAgAABAgQIdCcgEHdnqSQCBAgQIECAAIEeCgjEPew0VSZAgAABAgQIEOhOQCDuzlJJBAgQIECAAAECPRQQiHvYaapMgAABAgQIECDQnYBA3J2lkggQIECAAAECBHooIBD3sNNUmQABAgQIECBAoDsBgbg7SyURIECAAAECBAj0UEAg7mGnqTIBAgQIECBAgEB3AgJxd5ZKIkCAAAECBAgQ6KGAQNzDTlNlAgQIECBAgACB7gQE4u4slUSAAAECBAgQINBDAYG4h52mygQuu8Dz4b/G/xg8vuzVVD8CBAgQIJALCMQGAgECnQsIxJ2TKpAAAQIEXqJA/wPxeBTDwX7sba5H1pjsv63d/fjD0UmcvQjcaBB7azdi71XPbp39GA93bxZt2LwXR6fjF6l998dkvn8cxiivzuM43L0RG7uDGHV/pguW+ABWtrQAABmRSURBVDxGgw9jY+3DOBw9z48dj4bx78NRFHKXqa4XbNpFd5/qo7aDn8VoeBTD0bO2N5fbln8ubsXBcPZT9Xy4H2+sZe/9vxju36o+h+nzeDnGy3LNtBcBAgQIrKZAvwNxGSKzAHyYglAVkK/Fzv6ji4fi1xKIU7h7Lx6ePL1EI/GsCDjX92NYZM5LVLdGVZ4P4+D6eryxP4yiqqsSiBf30SSwzobZhuL8X5cKxJPyzRDPp/QOAQIECFw+gR4H4p9juP9ObGzfj+FZczZ1HGfD+7Gz9k4cDH++mPprDcST2c6LVfpl7b04bL2sM1+4XIF47kWLQHzh0eQAAgQIEFgxgf4G4tOjuLt5Ld5+cFx+Rd7oufFxPLx9LbbuHMVp9lYedG/GP+++G1v50opsNvbvcXbydRykpQprt+Pu/kexU18yUc04pyUZt+Pu54/KJQTlzO7mu7H3y3K5w+0HcdLM5xExHj2KL+7crr5Onsxql6GzXO6RdchkljO1af55smUCh/vvl21aj43tO/FFmi3Pz9t4f+1a7Nz5svb1+bhhcDP29r+Ok7PTxtff2Vfi/9lYMpF9Ff9l3N2+VrYrO3ZQK7uYpd3a/U38W9X27PyDOJm5iIkYnzyIt9fejLtHP5UN/ymO7rwZGzXTyT6jyZKJx3/JZ4czu/y/fEa7nCHe/igOljh3fsLWMfI0zjdu+mVLdu7Htyf5qKvG3d6/fDJZ1tPoozh3jGU1a57jvD6azNJmRxZhOI3dydiaPx5L+uaPC84QNw8vPn+T88+8bwMBAgQIEHiNAr0NxItnvZ7GyYP3YiN93Z//g54FxmxG+WmMfvgxRqeP4mD7RhXQxqPv4n4ejtMa4nIWevODeHicBZxxnB1/EXubaTlGWupQ/j4exV9/SGtYa716lp3nWmztfhbfZ+s4x6P4/tMsxKYZ7FTOvBni9H7jPFW5X8RxHjBP4/jBB5Ny00XBbnr/WYwefZYHs3ShMH4yiF9trsfWB4N4Mk7tWy8vJJozxPVlCGkW/mbsffpdfoFQ+VWz9uX+2YXG4DjOMr985n7OhUzzIif/PQtzyaXs03yN9bNJIM7WEM+bIV67GXsPfizOXfbd3IuouWMk67tk2DAu67xz75viIimtBU8hPpW5+X7cf5SNjXR8Wh6zaIxFXKyPauOufDnzWanGzbzxOFtGEWgXrSGeDuMtpdhEgAABAgQupUDPA3EKFW22KUSWYSoPJvUgNo7To3uxtVYvI20rA3EzoOWnaQtl9TKadUllNvZJYTWfwW7UtVlEpPfrZSxT7kxBEeV5ixudyrZMGdSPOS8Qz87eZkdOZnCzWd4yEKdwmO9QzNy332g1XWYe5Dbfip233ipnjYv3izCfTMr+nReI6+dO9Zl3U+BSYyRrZO3bh/KYuevV296vH79wjP29uLBbuo/q/Ve8ng7ELzhu8nZMZpqr2fg0K5/fVCcQz+rbQoAAAQJ9EOh5IG6fsSrg22aI08xvtkcz7JXdlf/DX+xXhLt5ISALYk+nZylbe3zOeaIe/hrhbqactvdTmJ1Tvyr0Zcsa/hSHg0EcDn47Wd6Qv1/WrZqBbZ64WffaDPFMAC2PnQp4tf2rotu2pTfrYe3nPAhu3RnEt/u3ihnrvOy0pKJhMlOftvO0bUvnTstq6mNkGeM045v1Q7aU4Xdx+FV6Kkdbmdn5JvV4ki8TmdOHeb9kM8jZkxvSLHmtvvnLZh8130/LJtJnZd7+9fE4W4YZ4hYTmwgQIEDgygj0NhDHVPBq6Y/6LFz2di3oFnvPCQa1/aZnO1vOUc3czgsr2TFzzpNCUT6D2Qh3M6dqe78Ma+c9om38JI7uZeuWb8fdB7+Pw8FXcXT8l3xtdTFDW9Zt6bA1CXKjmQBaVjr3SzPxtf2rNrVtq96Mol/fjLvf/Dke3s5mhv+7mMm//pv49uv6jH7DZKY+bedp21Y7d63vi61LGKfDz07iaDCIP6T13NufxFG2PGamzOyAST2KQJxCfiqs/vOifVQ/tng9PUO8zHicLUMgbjGxiQABAgSujEB/A3Es85SJWtCYCSb12cjJo86KEFxfMpHW07b1eSOUte2SrRqdWZrR+Np9YbBuO08qt9bGxvlbA31+IbFePks4zYDWl2LUC2mGp0mQG03NcE+OmT5nff+0T9u29F7NZftW/FNaJlDODO9s36jdYNcweSmBeLFxrebVy6kxNHWBUO6SX6zdKG4ILfsjremuCqleXLSPqgOrF9OBOLWp0efNC8jq6PJF3o40yzz95nT50+/5jQABAgQI9EGgx4E4m3wt/5hF/a796o79dONb2Q0zgTg7Pt3sVtwwVd0UVj1logzda7fj46Mn+dMsqn2Wmtktz12dZ95NTI1wNzNy5rxflruRZiMj3TRXztCWs+iTG76O4zA9caFcUjF9w1Z2v9838XH21Ih6+6pZ6HqYTTfILXFTXbV8I2tYvYyZhkZECoDrtfBbHrOWZp6z45omxT6TYNl2nrZttTqcM0bmGT/Pb0qcGETzprm8zPXYSDdmphsqN38dh0+yP5SxaIw1b6pb1Ee19qSXeR1qF04Lx2M6sPYzL0Mgrol4SYAAAQJXSKDfgTjriCoAT9Zhtv6lurawkx9efxzanMeufX4ndqqbh+qPFmuGsvkj4/zHXC0qZ/77zXI3Nt+Pg0Faw5oCcrLJlk58WTxmrgq5zUd6TT+WrQrI+UXCf7zQY9emb6BbEEqzPsnX1dbDbwrJ9VnNpsmzGB19UvZTtoTlvxp1zfpmwbmXGiNZuG0YTz16rvHou7zMa7Hz0UfVY9emHsuWxvDcMZbv0Hg03nl99Hh2EFZLZ9I3A9nHpj7ui7/uWP1xm9kSyqUf/0Agzh08dq2N1jYCBAgQeP0C/Q/Er99QDQjMF5gTsucf4B0CBAgQIEDgVQsIxK9a3PlWS0AgXq3+1loCBAgQ6KWAQNzLblPp3ggIxL3pKhUlQIAAgdUVEIhXt++1nAABAgQIECBAICIEYsOAAAECBAgQIEBgpQUE4pXufo0nQIAAAQIECBAQiI0BAgQIECBAgACBlRYQiFe6+zWeAAECBAgQIEBAIDYGCBAgQIAAAQIEVlpAIF7p7td4AgQIECBAgAABgdgYIECAAAECBAgQWGkBgXilu1/jCRAgQIAAAQIEBGJjgAABAgQIECBAYKUFBOKV7n6NJ0CAAAECBAgQEIiNAQIECBAgQIAAgZUWEIhXuvs1ngABAgQIECBAQCA2BggQIECAAAECBFZaQCBe6e7XeAIECBAgQIAAAYHYGCBAgAABAgQIEFhpAYF4pbtf4wkQIECAAAECBARiY4AAAQIECBAgQGClBQTile5+jSdAgAABAgQIEBCIjQECBAgQIECAAIGVFhCIV7r7NZ4AAQIECBAgQEAgNgYIECBAgAABAgRWWkAgXunu13gCBAgQIECAAAGB2BggQIAAAQIECBBYaYErEoifx2jwYWys3YqD4Vl7h44Gsbe2Hm/sD+N56x6P43D3Rmxc349h6w5dnKOLMjqoZ3RQxqvwvBT1jIhX0daF57gkY6cv9TR2av8vt+jzbozXsJb4vF+Sz6IxXus2Y3yC0cX47KKMJfpkUulL8eqKBOJLYakSBAgQIECAAAECPRQQiHvYaapMgAABAgQIECDQnYBA3J2lkggQIECAAAECBHooIBD3sNNUmQABAgQIECBAoDsBgbg7SyURIECAAAECBAj0UEAg7mGnqTIBAgQIECBAgEB3AgJxd5ZKIkCAAAECBAgQ6KGAQNzDTlNlAgQIECBAgACB7gQE4u4slUSAAAECBAgQINBDAYG4h52mygQIECBAgAABAt0JCMTdWSqJAAECBAgQIECghwICcQ87TZUJECBAgAABAgS6ExCIu7NUEgECBAgQIECAQA8FBOIedpoqEyBAgAABAgQIdCcgEHdnqSQCBAgQIECAAIEeCgjEPew0VSZAgAABAgQIEOhOQCDuzlJJBAgQIECAAAECPRQQiHvYaapMgAABAgQIECDQnYBA3J2lkggQIECAAAECBHooIBD3sNNUmQABAgQIECBAoDsBgbg7SyURIECAAAECBAj0UEAg7mGnqTIBAgQIECBAgEB3AgJxd5ZKIkCAAAECBAgQ6KGAQNzDTlNlAgQIECBAgACB7gQE4u4slUSAAAECBAgQINBDAYG4h52mygQIECBAgAABAt0JCMTdWSqJAAECBAgQIECghwICcQ87TZUJECBAgAABAgS6ExCIu7NUEgECBAgQIECAQA8FBOIedpoqEyBAgAABAgQIdCcgEHdnqSQCBAgQIECAAIEeCgjEPew0VSZAgAABAgQIEOhOQCDuzlJJBAgQIECAAAECPRQQiHvYaapMgAABAgQIECDQnYBA3J2lkggQIECAAAECBHooIBD3sNNUmQABAgQIECBAoDsBgbg7SyURIECAAAECBAj0UEAg7mGnqTIBAgQIECBAgEB3AgJxd5ZKIkCAAAECBAgQ6KGAQNzDTlNlAgQIECBAgACB7gQE4u4slUSAAAECBAgQINBDAYG4h52mygQIECBAgAABAt0JCMTdWSqJAAECBAgQIECghwICcQ87TZUJECBAgAABAgS6E+hvIH4+jIPr65E1YPa/23H380cxGl8AajyK4R+HFzvmAsX3c9fHcbh7IzZ2BzHqZwPUmgABAgQIECCwUKD3gfiN/WE8n2rmaZwM7sXO2s341eBvsVwmPovh/q3YuL4fw+nCpkr2CwECBAgQIECAwNUTuIKBOOuki85sCsRXb2hrEQECBAgQIEBgOYEVCcTPYjQcxMHuzdryirSsogzD1dKLW3EwPIuI5jHXYufOlzEcPZsvmy27GOzH3mZaxpHOERHjv8XhBzdjY/PXcfikKGP8ZBC/2rwWO/uP4qwM8Vu7n8RvqnrWjo/nMRp8GBub78beL8t23H4QJ+NF9TyNk2/u1+p0M/b2v46Ts3Lu/Owkvt1/P7ZS+zffj4NvTiITmL2wyM71ZdzdvlY6ZmUNJiajQeytZdv+tbbP7bg7OC7LK9uwloznU3qHAAECBAgQIPCqBK5gIJ5dMjE+eRBvZ0HtwY9FMBuP4vtPsxD4Ztw9+ikimjPE4zgb3s+XXVTHnP0YD7Ogun0/hilMTvXSzzHcfyc2Nj+Ih8enWQKOs+MvYq8KvBFFAF6PrQ8G8eT0URxkwbIqr5zVzur56XcxGk+Of/vBcYxTIF4rA/R4FH/94f/G6bn1fB6nR/dia+12fHz0JMa1OhVl/hRHd96Mje1P4igP+qdx/OCD2Fp7Lx6ePG0E4ppJXr+I8ei7uF83yQPxemxs34vDk8ygNKnKmwLzCwECBAgQIEDgUgj0PhBnDZj5b2qWs925CMk3Ym/wuCUQl0Exn4GdHF8ck0L0ZHv+6vQo7m5eiyJopveexsmD92Jj814cnWYzss/iyeDXsbV2K/Z2b8XG2jtxMPy53LkMxFVAzjbXj39WzBBPhctF9RyVx9TPk+qW/Ww7Z8v7+U11i871U0QeiKcNpp3rZXtNgAABAgQIELgcAr0PxJOb6p7F6OiTYla3nMGcIs6WM3w1iMPBIA4f3ImdPEjPCcTj43h4Oy0LaAbudMxU6VEEv+a+6fcP43BU3q2Xlk6kmd6qmLZ1z2mJQXb80zLc1staop5pZjtrb3ah8PtB/J/hqLzZMM1CF/Xc2t2PPwz+NFkCkQJzFojLp3pMvMuK1y8E8kDc8GnbVrXZCwIECBAgQIDA6xe4QoE4w0wzsNNPmBiPvomP8+UJd+JhFogHf47j4W/j7bUU3hpLJspAvHXnKLIv/pf537mzx/UCzsqlEmvl0onqMRgvHogX13McZyd/jsPB78p11Ndi5943tUfMncbJ0Vdx+Pu0/jktsajVaV4grs8Kt4Xftm11D68JECBAgAABAq9Z4IoF4rab1+rLDlL6HJdra+cE4iiXB1RLHZbopXymdD3OD6dpnfGH8fD3/7PxaLgyfE4t0yjrnm+rzxanZ8O9QD3TMoy12kxzvXlpdjxfJlELxMlkqn5RzoyXy0jawm/btvr5vCZAgAABAgQIvGaBqxeIsxvH8hvN0gxsCr9p1jObLR2UT0FIgTg9wSGt9U1l1GZSqxvx0g1nzZ5LN5Cl89RuOstDZCozzV6ncJyeOlGGz+rmv2cxevRZ7G2m/dsCcSpzXj1PizXLm+/H/UflMom0hCKr0/PiyRdbu5/F9/lNdWkJRVoHXA/E6Vzppr9a+9K657bw27atSed3AgQIECBAgMBrFLiCgTjTTOG0DJNVmC3X9G7fiYfl8oA0o1stq6iWUTQfMbYe2Rrbw2r9bUuvZeuUP0/rk7Nz1R5LVi6VyJ8wkSaqp7aV4XP713E3PXZt6ubAtkCc1WFBPWfqNP34uPHoUXxx53btxsT6o97qgbjtXLX2ZW+3hd+pbakNHrvWMnpsIkCAAAECBF6TQH8D8WsCe3mnbYbPl3cmJRMgQIAAAQIECEwEBOKJxWt+JRC/5g5wegIECBAgQGBFBQTiS9PxAvGl6QoVIUCAAAECBFZKQCBeqe7WWAIECBAgQIAAgaaAQNwU8TsBAgQIECBAgMBKCQjEK9XdGkuAAAECBAgQINAUEIibIn4nQIAAAQIECBBYKQGBeKW6W2MJECBAgAABAgSaAgJxU8TvBAgQIECAAAECKyUgEK9Ud2ssAQIECBAgQIBAU0Agbor4nQABAgQIECBAYKUEBOKV6m6NJUCAAAECBAgQaAoIxE0RvxMgQIAAAQIECKyUgEC8Ut2tsQQIECBAgAABAk0Bgbgp4ncCBAgQIECAAIGVEhCIV6q7NZYAAQIECBAgQKApIBA3RfxOgAABAgQIECCwUgIC8Up1t8YSIECAAAECBAg0BQTipojfCRAgQIAAAQIEVkpAIF6p7tZYAgQIECBAgACBpoBA3BTxOwECBAgQIECAwEoJCMQr1d0aS4AAAQIECBAg0BQQiJsifidAgAABAgQIEFgpAYF4pbpbYwkQIECAAAECBJoCAnFTxO8ECBAgQIAAAQIrJSAQr1R3aywBAgQIECBAgEBTQCBuividAAECBAgQIEBgpQSuSCB+HqPBh7GxdisOhmftHTgaxN7aeryxP4znrXs8jsPdG7FxfT+GrTt0cY4uyuigntFBGa/C81LUMyJeRVsXnuOSjJ2+1NPYqf2/3KLPuzFew1ri835JPovGeK3bjPEJRhfjs4syluiTSaUvxasrEogvhaVKECBAgAABAgQI9FBAIO5hp6kyAQIECBAgQIBAdwICcXeWSiJAgAABAgQIEOihgEDcw05TZQIECBAgQIAAge4EBOLuLJVEgAABAgQIECDQQwGBuIedpsoECBAgQIAAAQLdCQjE3VkqiQABAgQIECBAoIcCAnEPO02VCRAgQIAAAQIEuhMQiLuzVBIBAgQIECBAgEAPBQTiHnaaKhMgQIAAAQIECHQnIBB3Z6kkAgQIECBAgACBHgoIxD3sNFUmQIAAAQIECBDoTkAg7s5SSQQIECBAgAABAj0UEIh72GmqTIAAAQIECBAg0J2AQNydpZIIECBAgAABAgR6KCAQ97DTVJkAAQIECBAgQKA7AYG4O0slESBAgAABAgQI9FBAIO5hp6kyAQIECBAgQIBAdwICcXeWSiJAgAABAgQIEOihgEDcw05TZQIECBAgQIAAge4EBOLuLJVEgAABAgQIECDQQwGBuIedpsoECBAgQIAAAQLdCQjE3VkqiQABAgQIECBAoIcCAnEPO02VCRAgQIAAAQIEuhMQiLuzVBIBAgQIECBAgEAPBQTiHnaaKhMgQIAAAQIECHQnIBB3Z6kkAgQIECBAgACBHgpckUD8PEaDD2Nj7VYcDM/au2E0iL219XhjfxjPW/d4HIe7N2Lj+n4MW3fo4hxdlNFBPaODMl6F56WoZ0S8irYuPMclGTt9qaexU/t/uUWfd2O8hrXE5/2SfBaN8Vq3GeMTjC7GZxdlLNEnk0pfildXJBBfCkuVIECAAAECBAgQ6KGAQNzDTlNlAgQIECBAgACB7gQE4u4slUSAAAECBAgQINBDAYG4h52mygQIECBAgAABAt0JCMTdWSqJAAECBAgQIECghwICcQ87TZUJECBAgAABAgS6ExCIu7NUEgECBAgQIECAQA8FBOIedpoqEyBAgAABAgQIdCcgEHdnqSQCBAgQIECAAIEeCgjEPew0VSZAgAABAgQIEOhOQCDuzlJJBAgQIECAAAECPRQQiHvYaapMgAABAgQIECDQnYBA3J2lkggQIECAAAECBHooIBD3sNNUmQABAgQIECBAoDsBgbg7SyURIECAAAECBAj0UEAg7mGnqTIBAgQIECBAgEB3AgJxd5ZKIkCAAAECBAgQ6KGAQNzDTlNlAgQIECBAgACB7gQE4u4slUSAAAECBAgQINBDAYG4h52mygQIECBAgAABAt0JCMTdWSqJAAECBAgQIECghwICcQ87TZUJECBAgAABAgS6ExCIu7NUEgECBAgQIECAQA8FBOIedpoqEyBAgAABAgQIdCcgEHdnqSQCBAgQIECAAIEeCgjEPew0VSZAgAABAgQIEOhOQCDuzlJJBAgQIECAAAECPRQQiHvYaapMgAABAgQIECDQncC5gTh7038MjAFjwBgwBowBY8AYMAau+hhI8foX6YWfBAgQIECAAAECBFZRQCBexV7XZgIECBAgQIAAgUrg/wMwNqqkt1K+UgAAAABJRU5ErkJggg==\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the value and unit of the rate constant using the rate expression in (a).</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>BrO<sub>3</sub><sup>–</sup>:</em> 1/first <em><strong>AND</strong> Br<sup>–</sup>:</em> 1/first <em><strong>AND</strong> H<sup>+</sup>:</em> 2/second ✓</p>\n<p>«Rate =» <em>k</em>[BrO<sub>3</sub><sup>−</sup>][Br<sup>−</sup>][H<sup>+</sup>]<sup>2</sup> ✓</p>\n<p><em><br/>M2: Square brackets required for the mark.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>k</em> =<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>8</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>4</mn></mrow></msup></mrow><mrow><mn>0</mn><mo>.</mo><mn>10</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>10</mn><mo>×</mo><msup><mfenced><mrow><mn>0</mn><mo>.</mo><mn>10</mn></mrow></mfenced><mn>2</mn></msup></mrow></mfrac></math>=» 8.0 ✓</p>\n<p>mol<sup>−3</sup> dm<sup>9 </sup>s<sup>−1</sup> ✓</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far"
    ],
    "subtopics": [
      "reactivity-2-2-how-fast-the-rate-of-chemical-change"
    ]
  },
  {
    "question_id": "21M.2.HL.TZ2.7",
    "Question": "<div class=\"specification\">\n<p>Consider the following equilibrium reaction:</p>\n<p style=\"text-align: center;\">2SO<sub>2</sub> (g) + O<sub>2</sub> (g) <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> 2SO<sub>3</sub> (g)</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the equilibrium constant expression, <em>K</em><sub>c</sub>, for the reaction above.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State and explain how the equilibrium would be affected by increasing the volume of the reaction container at a constant temperature.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>SO<sub>2</sub> (g), O<sub>2 </sub>(g) and SO<sub>3 </sub>(g) are mixed and allowed to reach equilibrium at 600 °C.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>Determine the value of <em>K</em><sub>c</sub> at 600 °C.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>K</em><sub>c</sub> = <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><msup><mfenced close=\"]\" open=\"[\"><msub><mi>SO</mi><mn>3</mn></msub></mfenced><mn>2</mn></msup><mrow><msup><mfenced close=\"]\" open=\"[\"><msub><mi>SO</mi><mn>2</mn></msub></mfenced><mn>2</mn></msup><mfenced close=\"]\" open=\"[\"><msub><mi mathvariant=\"normal\">O</mi><mn>2</mn></msub></mfenced></mrow></mfrac></math> »  ✓</p>\n<p><em><br/>Square brackets required for the mark.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>pressure decrease «due to larger volume» ✓</p>\n<p>reaction shifts to side with more moles/molecules «of gas» ✓</p>\n<p>reaction shifts left/towards reactants ✓</p>\n<p><em><br/>Award M3 only if M1 <strong>OR</strong> M2 awarded.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>[O<sub>2</sub>] = 1.25 «mol dm<sup>−3</sup>» <em><strong>AND</strong> </em>[SO<sub>3</sub>] = 3.50 «mol dm<sup>−3</sup>» ✓</p>\n<p>«<em>K</em><sub>c</sub> =<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><msup><mfenced close=\"]\" open=\"[\"><mrow><mn>3</mn><mo>.</mo><mn>50</mn></mrow></mfenced><mn>2</mn></msup><mrow><msup><mfenced close=\"]\" open=\"[\"><mrow><mn>1</mn><mo>.</mo><mn>50</mn></mrow></mfenced><mn>2</mn></msup><mfenced close=\"]\" open=\"[\"><mrow><mn>1</mn><mo>.</mo><mn>25</mn></mrow></mfenced></mrow></mfrac></math>=» 4.36 ✓</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> for correct final answer</em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far"
    ],
    "subtopics": [
      "reactivity-2-3-how-far-the-extent-of-chemical-change"
    ]
  },
  {
    "question_id": "21M.2.SL.TZ1.1",
    "Question": "<div class=\"specification\">\n<p>Iron may be extracted from iron (II) sulfide, FeS.</p>\n</div><div class=\"specification\">\n<p>Iron (II) sulfide, FeS, is ionically bonded.</p>\n</div><div class=\"specification\">\n<p>The first step in the extraction of iron from iron (II) sulfide is to roast it in air to form iron (III) oxide and sulfur dioxide.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why metals, like iron, can conduct electricity.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Justify why sulfur is classified as a non-metal by giving <strong>two</strong> of its chemical properties.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the bonding in this type of solid.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the full electron configuration of the sulfide ion.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline, in terms of their electronic structures, why the ionic radius of the sulfide ion is greater than that of the oxide ion.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest why chemists find it convenient to classify bonding into ionic, covalent and metallic.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write the equation for this reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the change in the oxidation state of sulfur.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest why this process might raise environmental concerns.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why the addition of small amounts of carbon to iron makes the metal harder.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">e.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>mobile/delocalized «sea of» electrons</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Any two of:</em></p>\n<p>forms acidic oxides «rather than basic oxides» ✔</p>\n<p>forms covalent/bonds compounds «with other non-metals» ✔</p>\n<p>forms anions «rather than cations» ✔</p>\n<p>behaves as an oxidizing agent «rather than a reducing agent» ✔</p>\n<p><em><br/>Award <strong>[1 max]</strong> for 2 correct non-chemical properties such as non-conductor, high ionisation energy, high electronegativity, low electron affinity if no marks for chemical properties are awarded.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>electrostatic attraction ✔</p>\n<p>between oppositely charged ions/between Fe<sup>2+</sup> and S<sup>2−</sup> ✔</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>1s<sup>2</sup> 2s<sup>2</sup> 2p<sup>6</sup> 3s<sup>2</sup> 3p<sup>6</sup> ✔</p>\n<p><em><br/>Do <strong>not</strong> accept “[Ne] 3s<sup>2</sup> 3p<sup>6</sup>”.</em></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«valence» electrons further from nucleus/extra electron shell/ electrons in third/3s/3p level «not second/2s/2p»✔</p>\n<p><em><br/>Accept 2,8 (for O<sup>2–</sup>) and 2,8,8 (for S<sup>2–</sup>)</em></p>\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>allows them to explain the properties of different compounds/substances<br/><em><strong>OR</strong></em><br/>enables them to generalise about substances<br/><em><strong>OR</strong></em><br/>enables them to make predictions ✔</p>\n<p><em><br/>Accept other valid answers.</em></p>\n<div class=\"question_part_label\">c(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>4FeS(s) + 7O<sub>2</sub>(g) → 2Fe<sub>2</sub>O<sub>3</sub>(s) + 4SO<sub>2</sub>(g) ✔</p>\n<p><em><br/>Accept any correct ratio.</em></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>+6<br/><em><strong>OR</strong></em><br/>−2 to +4 ✔</p>\n<p><em>Accept “6/VI”.</em><br/><em>Accept “−II, 4//IV”.</em><br/>Do <strong>not</strong> accept 2− to 4+.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>sulfur dioxide/SO<sub>2</sub> causes acid rain ✔</p>\n<p><em>Accept sulfur dioxide/SO<sub>2</sub>/dust causes respiratory problems</em><br/><em>Do <strong>not</strong> accept just “causes respiratory problems” or “causes acid rain”.</em></p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>disrupts the regular arrangement «of iron atoms/ions»<br/><em><strong>OR</strong></em><br/>carbon different size «to iron atoms/ions» ✔</p>\n<p>prevents layers/atoms sliding over each other ✔</p>\n<div class=\"question_part_label\">e.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">e.</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "reactivity-2-1-how-much-the-amount-of-chemical-change",
      "reactivity-3-2-electron-transfer-reactions",
      "structure-1-3-electron-configurations",
      "structure-2-1-the-ionic-model",
      "structure-2-2-the-covalent-model",
      "structure-2-3-the-metallic-model",
      "structure-2-4-from-models-to-materials",
      "structure-3-1-the-periodic-table-classification-of-elements"
    ]
  },
  {
    "question_id": "21M.2.SL.TZ1.2",
    "Question": "<div class=\"specification\">\n<p>Iron (II) sulfide reacts with hydrochloric acid to form hydrogen sulfide, H<sub>2</sub>S.</p>\n</div><div class=\"specification\">\n<p>In aqueous solution, hydrogen sulfide acts as an acid.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw the Lewis (electron dot) structure of hydrogen sulfide.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Predict the shape of the hydrogen sulfide molecule.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the formula of its conjugate base.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Saturated aqueous hydrogen sulfide has a concentration of 0.10 mol dm<sup>−3</sup> and a pH of 4.0. Demonstrate whether it is a strong or weak acid.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the hydroxide ion concentration in saturated aqueous hydrogen sulfide.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>A gaseous sample of nitrogen, contaminated only with hydrogen sulfide, was reacted with excess sodium hydroxide solution at constant temperature. The volume of the gas changed from 550 cm<sup>3</sup> to 525 cm<sup>3</sup>.</p>\n<p>Determine the mole percentage of hydrogen sulfide in the sample, stating one assumption you made.</p>\n<p><img height=\"303\" src=\"data:image/png;base64,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\" width=\"705\"/></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"55\" src=\"data:image/png;base64,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\" width=\"83\"/> <em><strong>OR  <img height=\"50\" src=\"data:image/png;base64,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\" width=\"125\"/>✔</strong></em></p>\n<p><em>Accept any combination of lines, dots or crosses to represent electrons.</em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>bent/non-linear/angular/v-shaped✔</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>HS<sup>−</sup> ✔</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>weak <em><strong>AND</strong> </em>strong acid of this concentration/[H<sup>+</sup>] = 0.1 mol dm<sup>−3</sup> would have pH = 1<br/><em><strong>OR</strong></em><br/>weak <em><strong>AND</strong> </em>[H<sup>+</sup>] = 10<sup>−4</sup> &lt; 0.1 «therefore only fraction of acid dissociated» ✔</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>10<sup>−10</sup> «mol dm<sup>−3</sup>» ✔</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Mole percentage H<sub>2</sub>S:</em><br/>volume of H<sub>2</sub>S = «550 − 525 = » 25 «cm<sup>3</sup>» ✔<br/>mol % H<sub>2</sub>S = «<math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>25</mn><mo> </mo><msup><mi>cm</mi><mn>3</mn></msup></mrow><mrow><mn>550</mn><mo> </mo><msup><mi>cm</mi><mn>3</mn></msup></mrow></mfrac><mo>×</mo><mn>100</mn></math> = » 4.5 «%» ✔</p>\n<p><em>Award [2] for correct final answer of 4.5 «%»</em></p>\n<p> </p>\n<p><em>Assumption:</em><br/>«both» gases behave as ideal gases ✔<br/><br/><em>Accept “volume of gas <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi mathvariant=\"normal\">α</mi></math> mol of gas”.</em><br/><em>Accept “reaction goes to completion”.</em><br/><em>Accept “nitrogen is insoluble/does not </em><em>react with NaOH/only H<sub>2</sub>S reacts with </em><em>NaOH”.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
    "topics": [
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-2-models-of-bonding-and-structure"
    ],
    "subtopics": [
      "reactivity-3-1-proton-transfer-reactions",
      "structure-1-5-ideal-gases",
      "structure-2-2-the-covalent-model"
    ]
  },
  {
    "question_id": "21M.2.SL.TZ1.3",
    "Question": "<div class=\"specification\">\n<p>Magnetite, Fe<sub>3</sub>O<sub>4</sub>, is another ore of iron that contains both Fe<sup>2+</sup> and Fe<sup>3+</sup>.</p>\n</div><div class=\"specification\">\n<p>Iron exists as several isotopes.</p>\n</div><div class=\"specification\">\n<p>In acidic solution, hydrogen peroxide, H<sub>2</sub>O<sub>2</sub>, will oxidize Fe<sup>2+</sup>.</p>\n<p style=\"text-align: center;\">Fe<sup>2+</sup> (aq) → Fe<sup>3+</sup> (aq) + e<sup>−</sup></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the ratio of Fe<sup>2+</sup>:Fe<sup>3+</sup> in Fe<sub>3</sub>O<sub>4</sub>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the type of spectroscopy that could be used to determine their relative abundances.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the number of protons, neutrons and electrons in each species.</p>\n<p><img height=\"151\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA+UAAAEsCAYAAACluxLfAAAgAElEQVR4Ae3djZHkyHG3cfnxhhxgnAMMWsCzgLRAtEC0gPRAtIBnAWmBaIHowXpwHuwbuWJp66qBnk40BvWBHyJm0QOgKjOfTPyBbPT2/NtXCwIIIIAAAggggAACCCCAAAIIdCHwb12sMooAAggggAACCCCAAAIIIIAAAl815YoAAQQQQAABBBBAAAEEEEAAgU4ENOWdwDOLAAIIIIAAAggggAACCCCAgKZcDSCAAAIIIIAAAggggAACCCDQiYCmvBN4ZhFAAAEEEEAAAQQQQAABBBDQlKsBBBBAAAEEEEAAAQQQQAABBDoR0JR3As8sAggggAACCCCAAAIIIIAAAppyNYAAAggggAACCCCAAAIIIIBAJwKa8k7gmUUAAQQQQAABBBBAAAEEEEBAU64GEEAAAQQQQAABBBBAAAEEEOhEQFPeCTyzCCCAAAIIIIAAAggggAACCGjKb1ID//7v/++rHwzUgBpQA2pADagBNaAG1IAaUAPX1MCrraam/FVSkx8XJ54FAQQQ6EGA/vSgziYCCAQB+qMOEECgF4GM/mjKe2XpYruZorjYNeYQQGBxAvRn8QQLD4GBCdCfgZPDNQQWJ5DRH0354sVQwssURRljjQACCJxBgP6cQdEcCCBwhAD9OULNGAQQOINARn805WcQn2COTFFMEA4XEUBgIgL0Z6JkcRWBxQjQn8USKhwEJiKQ0R9N+USJfcfVTFG8Y8dYBBBAoCVAf1oifkcAgasI0J+rSLODAAItgYz+aMpbeov+nimKRREICwEEOhGgP53AM4sAAr7oTQ0ggEA3Apn7H015tzRdazhTFNd6xhoCCKxOgP6snmHxITAuAfozbm54hsDqBDL6oylfvRr+FV+mKG6CRJgIIHARAfpzEWhmEEDggQD9eUBiAwIIXEQgoz+a8ouS0ttMpih6+8o+AgisRYD+rJVP0SAwEwH6M1O2+IrAWgQy+qMpXyv3u9FkimJ3EjsQQACBAwTozwFohiCAwCkE6M8pGE2CAAIHCGT0R1N+APCMQzJFMWN8fEYAgXEJ0J9xc8MzBFYnQH9Wz7D4EBiXQEZ/NOXj5vFUzzJFcaphkyGAwO0J0J/blwAACHQjQH+6oWcYgdsTyOiPpvwm5ZIpipsgESYCCFxEgP5cBJoZBBB4IEB/HpDYgAACFxHI6I+m/KKk9DaTKYrevrKPAAJrEaA/a+VTNAjMRID+zJQtviKwFoGM/mjK18r9bjSZotidxA4EEEDgAAH6cwCaIQggcAoB+nMKRpMggMABAhn90ZQfADzjkExRzBgfnxFAYFwC9Gfc3PAMgdUJ0J/VMyw+BMYlkNEfTfm4eTzVs0xRnGrYZAggcHsC9Of2JQAAAt0I0J9u6BlG4PYEMvqjKb9JuWSK4iZILgnzN7/59ddg/8rPn//8p6//+Md/X+JXxshf/vJfX+PHgsBRAvTnKLn9ca2m/P3vf9s/+OvXr60WPT24887Qwd///nedvWB+FQL055xM/vTTX1+6l2m1KX6PsfVSHxPaNOJCh0bMynw+ZfRHUz5ffg95nCmKQwYM2iTQ3gjXF6K913/8439uznX1xmjEf/jhV98uwpryq+mvZY/+nJ/PVj8+urFtteh8j96f8Z///J+vf/jDf/zfjf/7M5oBga/f6gmH9wncpSmnQ+/Xihm+E8jc/2jKv3Nb+lWmKJYGcXFw7Y1weyO993vvJjjeIa596+3PxWlj7mQC9OdkoF//t9Goz9F4/ew8bbXofI/enzGejtcxvT+jGRDQlJ9VA3dpyunQWRVjniCQuf/RlN+kZjJFcRMkl4TZ3gjXN5zPXscT6p9//vkSH7eMaMq3qNh2lAD9OUpuf9yWfjzTjVaL9mfut8fNcD/2K1umP+dkV1N+Dkez3ItARn805TepjUxR3ATJJWG+ciPcflSq3GxHY9xr0ZT3Ir+mXfpzfl6LTrTr+G6KreUVLdoad+U2TfmVtO9ji/6ck+u2KX/2yZyPLNa6Fdo00kKHRsrG/L5k9EdTPn++X4ogUxQvTeiglwhkboTbY+MCWJb6IhHHxVP0+v9exratL3qKhj8unPUFMF7H/1vfOv7Lly8Px7Zjt94syNopcbX2ykU+Yq9jDh+i2Yjj95bwK45p/S3x1jz35rD9cwhEDiznEtiq87Jt6zxp9eWZN3EetsfHuRXn+dbSnscxdmtpz+niZ+hR8X1rHeNiad8sjHM6dKx890WMjbm2PmUUMbX2w8/YvnV82Gvjok9bWR1/W9SF5X0Ccb7V52c5H47MXM+zpxcxb5zzrT78+ONvn/5Xndqf8Lm+Vyp2Q8/ae5nWTjm2rIsOxfy1loT/r96T9dah8D18CIYlrrIuelh0uebo9XECwffVRVP+KqnJj8sUxeShDuV+iFwRvI9y0B5bN5HtBWDrItNeYPYa1NqfmKe+IW1vQutjy+sz7JQktfbC5zrWYrOs4+Z7qzH46GJaxtcX1eKD9ecTCP6WcwmUmt5ax3ndLq2+tPvj9zi32uPa+bduxNvzOObYWtpzu9z8fXT+lvM2tKf2Z0vjyrHF/isxha688iYlfSpU51pHzVjeJ3B1U751ftfnf+hM0ZA2uriv2Wo86/HxOmyU5VUdiuNrLQs/PronG0GHwof6DcyWRf17e59XGFnnCQTXVxdN+aukJj8uUxSThzqU++0N7pZzIZRbgh7by1JfAGrhLK/bG9Gt+cqx7TouXGVpb67bY+P3WqyP2snYa31oY21vFNrj29+3morij/XnEIgcWM4lUNd16EyrEfV5GpY/0qI491+9YWvPoVY3wtbW0vpYbqhfvRlum/KaQXldxx0aWra/sm4b8zauV+agT1uZ77st8mZ5n0B7rW11IGOhPpe29OKjhryMj7H1g4XiwysNeZmjxPGqDoWNVsvKXGVd68AIOhQ+t9eA4uvWOq4FW1wLX+vXCQTfVxdN+aukJj8uUxSThzqU+xkRrIWxvUhtXQDKhaQNOG4s67nidf3UPfa3ftXvFsd87c3vlq0z7Ozd9Nb+bl0o64tF/cZAXEjqm/KIJXwPBrHeiqPl5/fzCQR/y7kE6nM8zuf2XKrfbAvL7TnfetNqTJx3ZYlzqh7f3rC1tuPYraW1EePqpd1f74vXrS4Fg4iznaeMa2/MY/5ybGhIqy0RV9kfc8TrmnN5TZ8K4TnWkTfL+wTaprycDx+tay0pXtRjWr1oz/PYX1/X2/O2va6Xa36xETpQP+Rox8d5Xy8f6VAc2x4Ttlo/ypwj6FD7xkDcN9VLaF34GXFFHDWv+jiv8wSiNl5dNOWvkpr8uExRTB7qUO7XN7LlAvHKun1i014A4ve9pb0A1BezMiYEOC5ExZf2Jru9KG5dbM6ws3XTW9/wFn9rX8Pn+oJRM47XdcNexlv3JRA5s5xLoJy7sY66j6W9Ga3Ppfo8afPRnodbN9HtMbUmtPuKP23ErY7FuHpp99f74nWrSxHHlr7Fse2bhnua2T6RexZX2KuZFv/oUyEx5rqt9zG9HN+rq5rytmludSJI1cfE+VcvrdZtjY9jYo4439t7ho90KGy1x+zpyyg61Oau1rmandfnE8joj6b8fP5DzpgpiiEDmNSp9uIQefjoZ0ss2wvA1jGBKC4u9fx7F4o4tr0Zrd8IaG9+W3tn2Wlv5sP39gIZvrbx1zfi9ZPyEnscHz7XMU1aQku4HXmxnEug1HqsSxMc506tOfWbbfX2Nh/tDdtW4xne13PUT1ra87j400bcnsftzXK7vx3f6lJ7M14f3+pbrRn1ca2WxZuNZWnjCm70qdCZZ93W+zyej+VpqxPB9ZWfrTf56nGtXtQ60+4rRFpfyhv17Tlb61QZ+9H6Ix2K8e0x7T1SsTGKDrVPygv/8Dt+tnStxGD9HoFg/eqiKX+V1OTHZYpi8lCHcr++uBQR3FrHcSGM7U1qCaa9AOzdNLfvysYFYW9pj60vKu3Nb70v5mvHHrXTXkD3LsBt/PUN9t7FpuYc49sY9rjYfj4B+vM5TEuN1+dNe26Wum+1qPYojilzvbqubR49j1u9a8/z2sd43epS7UN7bPtJnmc3ne2xZa6jcdGnQnCMNf05Jw9tI/yqVmSb8lfnrY8r90StRjy7N9mj8pEOxbj2mGK/nbPVll46FH5tPcCoGcbruBaUNzjaWPx+jEBwfXXRlL9KavLjMkUxeahDuf/sRjjjaHsBqG/66nnai2a5Ia+PKa/bi1d97LN9Mf4sO2fc9IY/4W/7EdL2YhO/Rz5ccEoFXLemP+ezruu7bU7bm684z55p0ZGmvM7p0fM4xtVLq3P1vnjd6lIcv7c8i7cds2f3aFzhZ73Qp5rG9a/rWr3e+joWM9f9j6J+pl/1vldfl/uXViPK9o/8qffv6cGzY9pzvhw7kg6FT+21YY/vkTczSszWvyQQjF9dNOWvkpr8uExRTB7qUO5nBPmZ4+1FYu8C0F6Qngnr3hO18KOdp72wtfuP2jnrprewi5g+ajAiJ5ZrCdCf83nXN1NtTcd5Vb9JFU+qnmnRR+dMbat+XaJ69TxunxrFuHppda7eF69b3Ynj95Z2rp5PqIqP9KmQuHZNf87hPWNTvvWU/iMarXZsHd8eE9q0tbTHjaBD4UNofutbre3xOvJteZ9ARn805e/znmKGTFFMEdAkTj67Ec6E0Irn3gWgvTmOcXtLNNK1CMcNY1nam9+2KT/LTjtP21wUf16Nvxxf1uF3G2fE7Gl5IXTNmv6cz7k+d7fOm48a7dqj9thaC+rj9l6/eh7XbxSE/zGuXtrzvN4Xr1tdeqZvcTNeM9rTzLhBrY+LNw7K8mpcrd97tsq8ZU2fConPXUd+Le8TuKopr3WiPh9fiaA9Z7Pjw0Z7Pm/ZbY/ZO+dn0KG4Hwotat80PfL/8bdY3X1bRn805TeplkxR3ATJJWFe3ZRHUK2wbl0s4sJVX/jidf0Oboypb1RDsNvlDDvtBXSruQi7r14AWx/L7+1HtraYlGOtzydAfz6HaTlH986bVn/K8W0+4qas3pd9utQ2tjFXrScRfaspcUyc//XSnuf1vq054vi9Jd5YqGPaO7Z9067WOvq0R3eu7VEHlvcJXNWUt9frVic+iqTVva3xcd7HPUyc7+39wEc6FPbbY9o5io8z6VB7HdjTzBKb9WsEMvqjKX+N6fRHZYpi+mAHCqC9OBx17dULQMzfXjgj9/XHkOIi0fpV34jGHO0NdHnHNG60ywXuDDtn3PSWd3nDx4irvThGvM/egDiaE+NeJ0B/Xmf16pHBtPxE3W8t7Xlcjt/KR6sxbWMev8d5FFpR60mxW59jMX/RjNjfnoPFj6IlZY7Whzi3YynrNp6PbhpbnYvji83QsvYpVvvmJH0qmZl7vVXvc0fUx/uta345lz9at+dqfXyrX+153l7XY39sC40JPSrndKES29r5Y0xZtuKo93+kQzFPe0w9vtgp6xF0KHwJLvETOtfqe+hh8Ky5xbGW9wkE01cXTfmrpCY/LlMUk4c6lPutGB91LnMBCButuNZC275uL5YxPgS6Pa78HjfYZXnXzrs3vTG+bQaKn3vreIfcci2ByIXlXAJ1fYfO7C1t41nGtce3T0nKcXvr9oZtz87e+Nje3ky3T63L2HiiFUvc+JZtsd7SrjqubEztjTV9qmnO+zpqxfI+ga1mtj4fn71uz9X62C39ytxbxPi4Z6mX9pN8tb32devbRzoUdmJMPU+rHbUvvXUofNmLqY6hfh33Va0+1zF5/TqB4Prqoil/ldTkx2WKYvJQh3K/V1MeEF65SY4L397SXnSKYLdPyd6x8+5Nb/geF8NXG/Pw1XI9AfpzPvNyPsZ666a2WIyb1a3zo+yv123TW9uoX7cNecwRdlq9q8fEvlYr2pu+PfslvnZ/ezNdx1Jex5hnfoWPwSeOaxf61BKZ8/fIseV9Alc25eHt3j1IqyutjsTY0KNXxkfz3jb0rc4Ue0WHtnzb0o+aeG8dCl9efaMj9LB8OqmOwetjBDL6oyk/xni6UZmimC64gR1ubwaPutpeXD66ABQ7Iazl40rlwhLreNf0ozniQtW+uxoXsK1xR+2ccdNbYo0425v+EvMr8ZZ5rM8nQH8+h2mp7/pmcctSnBvl2LLeOi62xXkfx7faFTdqsf3ZzVoZW2zEOjQjxsXS+rF1Mx2fxGmfcsX5G0toTz33K035t4H/st3elNa+lePqNX2qacz7OmrG8j6Bq5vy8Dj0YOu6Hudy0ZVnkYXP7Xkf9RBztg8Y6nme6VAcd/SeLHxu/blSh8q9WqvvrVbXLLx+j0BGfzTl77GeZnSmKKYJiqMIIDAFAfozRZo4icCSBOjPkmkVFAJTEMjoj6Z8ipS+72SmKN63ZgYEEEDgOwH6852FVwggcC0B+nMtb9YQQOA7gYz+aMq/c1v6VaYolgYhOAQQuJwA/bkcOYMIIPAvAvRHKSCAQC8CGf3RlPfK0sV2M0VxsWvMIYDA4gToz+IJFh4CAxOgPwMnh2sILE4goz+a8sWLoYSXKYoyxhoBBBA4gwD9OYOiORBA4AgB+nOEmjEIIHAGgYz+aMrPID7BHJmimCAcLiKAwEQE6M9EyeIqAosRoD+LJVQ4CExEIKM/mvKJEvuOq5mieMeOsQgggEBLgP60RPyOAAJXEaA/V5FmBwEEWgIZ/dGUt/QW/T1TFIsiEBYCCHQiQH86gWcWAQS+/W17GBBAAIEeBDL3P5ryHhnqYDNTFB3cYxIBBBYmQH8WTq7QEBicAP0ZPEHcQ2BhAhn90ZQvXAh1aJmiqMd5jQACCLxLgP68S9B4BBA4SoD+HCVnHAIIvEsgoz+a8ndpTzI+UxSThMRNBBCYhAD9mSRR3ERgQQL0Z8GkCgmBSQhk9EdTPklS33UzUxTv2jIeAQQQqAnQn5qG1wggcCUB+nMlbbYQQKAmkNEfTXlNbuHXmaJYGIPQEECgAwH60wE6kwgg8I0A/VEICCDQi0BGfzTlvbJ0sd1MUVzsGnMIILA4AfqzeIKFh8DABOjPwMnhGgKLE8joj6Z88WIo4WWKooyxRgABBM4gQH/OoGgOBBA4QoD+HKFmDAIInEEgoz+a8jOITzBHpigmCIeLCCAwEQH6M1GyuIrAYgToz2IJFQ4CExHI6I+mfKLEvuNqpijesWMsAggg0BKgPy0RvyOAwFUE6M9VpNlBAIGWQEZ/NOUtvUV/zxTFogiEhQACnQjQn07gmUUAga/0RxEggEAvAhn9OdyUhxE/GKgBNaAG1IAaUANqQA2oATWgBtSAGnisgVffEHirKX/ViOP6E4iTxIIAAgj0IEB/elBnEwEEggD9UQcIINCLQEZ/NOW9snSx3UxRXOwacwggsDgB+rN4goWHwMAE6M/AyeEaAosTyOiPpnzxYijhZYqijLFGAAEEziBAf86gaA4EEDhCgP4coWYMAgicQSCjP5ryM4hPMEemKCYIh4sIIDARAfozUbK4isBiBOjPYgkVDgITEcjoj6Z8osS+42qmKN6xYywCCCDQEqA/LRG/I4DAVQToz1Wk2UEAgZZARn805S29RX/PFMWiCISFAAKdCNCfTuCZRQABX/SmBhBAoBuBzP2Pprxbmq41nCmKaz1jDQEEVidAf1bPsPgQGJcA/Rk3NzxDYHUCGf3RlK9eDf+KL1MUN0EiTAQQuIgA/bkINDMIIPBAgP48ILEBAQQuIpDRH035RUnpbSZTFL19ZR8BBNYiQH/WyqdoEJiJAP2ZKVt8RWAtAhn90ZSvlfvdaDJFsTuJHQgggMABAvTnADRDEEDgFAL05xSMJkEAgQMEMvqjKT8AeMYhmaKYMT4+I4DAuAToz7i54RkCqxOgP6tnWHwIjEsgoz+a8nHzeKpnmaI41bDJEEDg9gToz+1LAAAEuhGgP93QM4zA7Qlk9EdTfpNyyRTFTZAIEwEELiJAfy4CzQwCCDwQoD8PSGxAAIGLCGT0R1N+UVJ6m8kURW9f2UcAgbUI0J+18ikaBGYiQH9myhZfEViLQEZ/NOVr5X43mkxR7E5iBwIIIHCAAP05AM0QBBA4hQD9OQWjSRBA4ACBjP5oyg8AnnFIpihmjI/PCCAwLgH6M25ueIbA6gToz+oZFh8C4xLI6I+mfNw8nupZpihONWwyBBC4PQH6c/sSAACBbgToTzf0DCNwewIZ/dGU36RcMkVxEyTCRACBiwjQn4tAM4MAAg8E6M8DEhsQQOAiAhn90ZRflJTeZjJF0dtX9hFAYC0C9GetfIoGgZkI0J+ZssVXBNYikNEfTflaud+NJlMUu5PYgQACCBwgQH8OQDMEAQROIUB/TsFoEgQQOEAgoz+a8gOAZxySKYoZ4+MzAgiMS4D+jJsbniGwOgH6s3qGxYfAuAQy+qMpHzePp3qWKYpTDZsMAQRuT4D+3L4EAECgGwH60w09wwjcnkBGfzTlNymXTFHcBIkwEUDgIgL05yLQzCCAwAMB+vOAxAYEELiIQEZ/NOUXJaW3mUxR9PaVfQQQWIsA/Vkrn6JBYCYC9GembPEVgbUIZPRHU75W7nejyRTF7iR2IIAAAgcI0J8D0AxBAIFTCNCfUzCaBAEEDhDI6I+m/ADgGYdkimLG+PiMAALjEqA/4+aGZwisToD+rJ5h8SEwLoGM/mjKx83jqZ5liuJUwyZDAIHbE6A/ty8BABDoRoD+dEPPMAK3J5DRH035TcolUxQ3QSJMBBC4iAD9uQg0Mwgg8ECA/jwgsQEBBC4ikNEfTflFSeltJlMUvX1lHwEE1iJAf9bKp2gQmIkA/ZkpW3xFYC0CGf3RlK+V+91oMkWxO4kdCCCAwAEC9OcANEMQQOAUAvTnFIwmQQCBAwQy+qMpPwB4xiGZopgxPj4jgMC4BOjPuLnhGQKrE6A/q2dYfAiMSyCjP5rycfN4qmeZojjVsMkQQOD2BOjP7UsAAAS6EaA/3dAzjMDtCWT0R1N+k3LJFMVNkAgTAQQuIkB/LgLNDAIIPBCgPw9IbEAAgYsIZPRHU35RUnqbyRRFb1/ZRwCBtQjQn7XyKRoEZiJAf2bKFl8RWItARn805WvlfjeaTFHsTmIHAgggcIAA/TkAzRAEEDiFAP05BaNJEEDgAIGM/mjKDwCecUimKGaMj88IIDAuAfozbm54hsDqBOjP6hkWHwLjEsjoj6Z83Dye6lmmKE41bDIEELg9Afpz+xIAAIFuBOhPN/QMI3B7Ahn90ZTfpFwyRXETJMJEAIGLCNCfi0AzgwACDwTozwMSGxBA4CICGf3RlF+UlN5mMkXR21f2EUBgLQL0Z618igaBmQjQn5myxVcE1iKQ0Z9hmvKffvrr13C8/fnLX/5rMztfvnz5+sMPv/q6t39z0I03ZorixpiEjgACn0CA/nwCVFMigMBLBOjPS5gchAACn0Agoz/DNOXRXEeT/ery44+//dbAa8pfI5YpitdmdBQCCCDwGgH68xonRyGAwPkE6M/5TM2IAAKvEcjozzBN+e9//7uv8fPKUhr4CFRT/gqxr9/ewHjtSEchgAAC5xLIXJTOtWw2BBC4OwH6c/cKED8C/Qhk9GeYpvzVj6KXj63/+c9/8qQ8UWOZokhM61AEEEDgQwL050NEDkAAgU8iQH8+CaxpEUDgQwIZ/RmiKY9GO5yOJ+Wxjp/f/ObXX//+9789BBsfW//DH/7j6z//+T8fNuV//ON//t98Zd6P1mF3xSXitiCAAAI9CNCfHtTZRACBIEB/1AECCPQikNGfIZry8iVv8fS7LNGot415fFQ9tv3888+a8gLqxXWmKF6c0mEIIIDASwToz0uYHIQAAp9AgP58AlRTIoDASwQy+jNEU74XVTwRjyfjsZSPrUcDH0vmSfmqT7+/gXjxn0xRvDilwxBAAIGXCNCflzA5CAEEPoEA/fkEqKZEAIGXCGT0Z+imPJ6cl29kLx9bLwQ05YXEa+tMUbw2o6MQQACB1wjQn9c4OQoBBM4nQH/OZ2pGBBB4jUBGf6ZoyksDHoFt/ZSn6S2e8n/KPSn3f6ra2vA7AghcRyBzUbrOK5YQQOAOBOjPHbIsRgTGJJDRnyGa8vInzlqc8cVv8RH2raU06s/+JNqZTfk//vHfX8s3vpc3BqLZf2Z/y+9e2zJF0ctHdhFAYE0C9GfNvIoKgRkI0J8ZssRHBNYkkNGfIZry8v/F6wY3mu746Hrs21qubMrDr4C69xPNefgz8pIpipHj4BsCCMxHgP7MlzMeI7AKAfqzSibFgcB8BDL6M0RTHoijqa3/JFq8ftboXtWU1w15PHmv3ySIP9kWDXkAj3V8K/yoS6YoRo2BXwggMCcB+jNn3niNwAoE6M8KWRQDAnMSyOjPME35Z6B+9+Pr0YAHzPipn+LXvkYjXhrzsDfqkimKUWPgFwIIzEmA/syZN14jsAIB+rNCFsWAwJwEMvpzi6Y8gLzyE/9vvF7KU/Joup8t5bjyTfHPju21L1MUvXxkFwEE1iRAf9bMq6gQmIEA/ZkhS3xEYE0CGf3RlFcNe9uUx5fMBcyPnoCXj9LHsc8+ct+z3DJF0dNPthFAYD0C9Ge9nIoIgVkI0J9ZMsVPBNYjkNGfWzTlHz3p3iuB8rH0APrqT/w/8xGXTFGM6D+fEEBgXgL0Z97c8RyB2QnQn9kzyH8E5iWQ0R9N+ZM8H2nKf/rpr09m7LcrUxT9vGQZAQRWJEB/VsyqmBCYgwD9mSNPvERgRQIZ/dGUP6mA0pTH3yeffckUxeyx8h8BBMYiQH/GygdvELgTAfpzp2yLFYGxCGT0R1P+JHflT7TF/y2ffckUxeyx8h8BBMYiQH/GygdvELgTAfpzp2yLFYGxCGT0R1P+JHfxhDxgxk/998mfDBl2V6Yohg2CYwggMCUB+jNl2jiNwBIE6M8SaRQEAlMSyOjPUE15/Gmx8pHxCCKeVG81w+Xvj8cxP/74291vPC/HxZxHljpJSsIAAB6+SURBVPrvlD97Wl7+JFr4E3+3fMQlUxQj+s8nBBCYlwD9mTd3PEdgdgL0Z/YM8h+BeQlk9GeYprw0tuWL0qK5jaY8Guq60Y1tdYO8dUxJ3btNecxTPy0PW/WfTYumvdgI6CP/3/NMURR+1ggggMAZBOjPGRTNgQACRwjQnyPUjEEAgTMIZPRnmKY8mu9oeuul/P3v0qjHnxuL4Oq/BV6eZpdj6vGlYT76pLzMVTfmYX/rJ2yNvGSKYuQ4+IYAAvMRoD/z5YzHCKxCgP6skklxIDAfgYz+DNOUb2GOJ+QRTHkCHY1vpsE+qykP3+IJ+VZzHtvqp+dbcYywLVMUI/jLBwQQWIcA/VknlyJBYDYC9Ge2jPEXgXUIZPRn6KY8mt0IpjwFLx9dj4+6//DDr77ti231k/N10nhuJJmiONey2RBA4O4E6M/dK0D8CPQjQH/6sWcZgbsTyOjP0E15/N/x+sl4fKlbNOP1R8XjSXUcU/+/87sXwFb8maLYGm8bAgggcJQA/TlKzjgEEHiXAP15l6DxCCBwlEBGf4ZtyuPpeARSfzQ8mvK6SS+AolGPp+eWfQKZotifxR4EEEAgT4D+5JkZgQAC5xCgP+dwNAsCCOQJZPRnyKa8fGy9bbSjKa+/eb2g2dte9lt//fYGBw4IIIBADwKZi1IP/9hEAIF1CdCfdXMrMgRGJ5DRn+Ga8nhCHk++y5e71bCjId9qyuPpef2R9nqM1/9LIFMUmCGAAAJnEqA/Z9I0FwIIZAjQnwwtxyKAwJkEMvozVFNevi29fUJe4JQveCu/l7WPrxcS++tMUezPYg8CCCCQJ0B/8syMQACBcwjQn3M4mgUBBPIEMvozTFP+UUNeMMRH1eun6OWL3sp+620CmaLYnuFxa8wZP1v/z//x6F9uiTdYyvjy7fq/POL5b2XsEdsx8zvje/rO9ve/xvC8Qn65V75//UsgF/8W/M9e5DSfU/oxn37cNWdn6gX9+U7zrvUk7vm0r+c1/vsZ8/6rjP4M0ZSXv0deEtCu64+sx7Hxezkm/iTaly9f3qe2+AyZongVRcnBkca4p0BGfLP63pMb2/e6qL2qA68cR3++U3Ie3es8ejff746f9Vr3/Yx5/xX9+c7wrvUkbrr7/Sy49lVGf4Zoyq/Fc09rmaK4JyFRI4DAZxGgP59F1rwIIPARAfrzESH7EUDgswhk9EdT/llZGGzeTFEM5jp3EEBgcgL0Z/IEch+BiQnQn4mTx3UEJieQ0R9N+eTJftX9TFG8OqfjEEAAgVcI0J9XKDkGAQQ+gwD9+Qyq5kQAgVcIZPRHU/4K0QWOyRTFAuEKAQEEBiJAfwZKBlcQuBkB+nOzhAsXgYEIZPRHUz5Q4j7TlUxRfKYf5kYAgfsRoD/3y7mIERiFAP0ZJRP8QOB+BDL6oym/SX1kiuImSISJAAIXEaA/F4FmBgEEHgjQnwckNiCAwEUEMvqjKb8oKb3NZIqit6/sI4DAWgToz1r5FA0CMxGgPzNli68IrEUgoz+a8rVyvxtNpih2J7EDAQQQOECA/hyAZggCCJxCgP6cgtEkCCBwgEBGfzTlBwDPOCRTFDPGx2cEEBiXAP0ZNzc8Q2B1AvRn9QyLD4FxCWT0R1M+bh5P9SxTFKcaNhkCCNyeAP25fQkAgEA3AvSnG3qGEbg9gYz+aMpvUi6ZorgJEmEigMBFBOjPRaCZQQCBBwL05wGJDQggcBGBjP5oyi9KSm8zmaLo7Sv7CCCwFgH6s1Y+RYPATAToz0zZ4isCaxHI6I+mfK3c70aTKYrdSexAAAEEDhCgPwegGYIAAqcQoD+nYDQJAggcIJDRH035AcAzDskUxYzx8RkBBMYlQH/GzQ3PEFidAP1ZPcPiQ2BcAhn90ZSPm8dTPcsUxamGTYYAArcnQH9uXwIAINCNAP3php5hBG5PIKM/mvKblEumKG6CRJgIIHARAfpzEWhmEEDggQD9eUBiAwIIXEQgoz+a8ouS0ttMpih6+8o+AgisRYD+rJVP0SAwEwH6M1O2+IrAWgQy+qMpXyv3u9FkimJ3EjsQQACBAwTozwFohiCAwCkE6M8pGE2CAAIHCGT0R1N+APCMQzJFMWN8fEYAgXEJ0J9xc8MzBFYnQH9Wz7D4EBiXQEZ/NOXj5vFUzzJFcaphkyGAwO0J0J/blwAACHQjQH+6oWcYgdsTyOiPpvwm5ZIpipsgESYCCFxEgP5cBJoZBBB4IEB/HpDYgAACFxHI6I+m/KKk9DaTKYrevrKPAAJrEaA/a+VTNAjMRID+zJQtviKwFoGM/mjK18r9bjSZotidxA4EEEDgAAH6cwCaIQggcAoB+nMKRpMggMABAhn90ZQfADzjkExRzBgfnxFAYFwC9Gfc3PAMgdUJ0J/VMyw+BMYlkNEfTfm4eTzVs0xRnGrYZAggcHsC9Of2JQAAAt0I0J9u6BlG4PYEMvqjKb9JuWSK4iZIhIkAAhcRoD8XgWYGAQQeCNCfByQ2IIDARQQy+qMpvygpvc1kiqK3r+wjgMBaBOjPWvkUDQIzEaA/M2WLrwisRSCjP5rytXK/G02mKHYnsQMBBBA4QID+HIBmCAIInEKA/pyC0SQIIHCAQEZ/NOUHAM84JFMUM8bHZwQQGJcA/Rk3NzxDYHUC9Gf1DIsPgXEJZPRHUz5uHk/1LFMUpxo2GQII3J4A/bl9CQCAQDcC9KcbeoYRuD2BjP5oym9SLpmiuAkSYSKAwEUE6M9FoJlBAIEHAvTnAYkNCCBwEYGM/mjKL0pKbzOZoujtK/sIILAWAfqzVj5Fg8BMBOjPTNniKwJrEcjoj6Z8rdzvRpMpit1J7EAAAQQOEKA/B6AZggACpxCgP6dgNAkCCBwgkNEfTfkBwDMOyRTFjPHxGQEExiVAf8bNDc8QWJ0A/Vk9w+JDYFwCGf3RlI+bx1M9yxTFqYZNhgACtydAf25fAgAg0I0A/emGnmEEbk8goz+a8puUS6YoboJEmAggcBEB+nMRaGYQQOCBAP15QGIDAghcRCCjP2815WHIDwZqQA2oATWgBtSAGlADakANqAE1oAZ+WQOv9v9vNeWvGnFcfwJxglgQQACBHgToTw/qbCKAQBCgP+oAAQR6Ecjoj6a8V5YutpspiotdYw4BBBYnQH8WT7DwEBiYAP0ZODlcQ2BxAhn90ZQvXgwlvExRlDHWCCCAwBkE6M8ZFM2BAAJHCNCfI9SMQQCBMwhk9EdTfgbxCebIFMUE4XARAQQmIkB/JkoWVxFYjAD9WSyhwkFgIgIZ/dGUT5TYd1zNFMU7doxFAAEEWgL0pyXidwQQuIoA/bmKNDsIINASyOiPprylt+jvmaJYFIGwEECgEwH60wk8swgg4Ive1AACCHQjkLn/0ZR3S9O1hjNFca1nrCGAwOoE6M/qGRYfAuMSoD/j5oZnCKxOIKM/mvLVq+Ff8WWK4iZIhIkAAhcRoD8XgWYGAQQeCNCfByQ2IIDARQQy+qMpvygpvc1kiqK3r+wjgMBaBOjPWvkUDQIzEaA/M2WLrwisRSCjP5rytXK/G02mKHYnsQMBBBA4QID+HIBmCAIInEKA/pyC0SQIIHCAQEZ/NOUHAM84JFMUM8bHZwQQGJcA/Rk3NzxDYHUC9Gf1DIsPgXEJZPRHUz5uHk/1LFMUpxo2GQII3J4A/bl9CQCAQDcC9KcbeoYRuD2BjP5oym9SLpmiuAkSYSKAwEUE6M9FoJlBAIEHAvTnAYkNCCBwEYGM/mjKL0pKbzOZoujtK/sIILAWAfqzVj5Fg8BMBOjPTNniKwJrEcjoj6Z8rdzvRpMpit1J7EAAAQQOEKA/B6AZggACpxCgP6dgNAkCCBwgkNEfTfkBwDMOyRTFjPHxGQEExiVAf8bNDc8QWJ0A/Vk9w+JDYFwCGf3RlI+bx1M9yxTFqYZNhgACtydAf25fAgAg0I0A/emGnmEEbk8goz+a8puUS6YoboJEmAggcBEB+nMRaGYQQOCBAP15QGIDAghcRCCjP5ryi5LS20ymKHr7yj4CCKxFgP6slU/RIDATAfozU7b4isBaBDL6oylfK/e70WSKYncSOxBAAIEDBOjPAWiGIIDAKQTozykYTYIAAgcIZPRHU34A8IxDMkUxY3x8RgCBcQnQn3FzwzMEVidAf1bPsPgQGJdARn805ePm8VTPMkVxqmGTIYDA7QnQn9uXAAAIdCNAf7qhZxiB2xPI6I+m/CblkimKmyARJgIIXESA/lwEmhkEEHggQH8ekNiAAAIXEcjoj6b8oqT0NpMpit6+so8AAmsRoD9r5VM0CMxEgP7MlC2+IrAWgYz+aMrXyv1uNJmi2J3EDgQQQOAAAfpzAJohCCBwCgH6cwpGkyCAwAECGf3RlB8APOOQTFHMGB+fEUBgXAL0Z9zc8AyB1QnQn9UzLD4ExiWQ0R9N+bh5PNWzTFGcathkCCBwewL05/YlAAAC3QjQn27oGUbg9gQy+qMpv0m5ZIriJkiEiQACFxGgPxeBZgYBBB4I0J8HJDYggMBFBDL6oym/KCm9zWSKorev7COAwFoE6M9a+RQNAjMRoD8zZYuvCKxFIKM/mvK1cr8bTaYodiexAwEEEDhAgP4cgGYIAgicQoD+nILRJAggcIBARn805QcAzzgkUxQzxsdnBBAYlwD9GTc3PENgdQL0Z/UMiw+BcQlk9EdTPm4eT/UsUxSnGjYZAgjcngD9uX0JAIBANwL0pxt6hhG4PYGM/mjKb1IumaK4CRJhIoDARQToz0WgmUEAgQcC9OcBiQ0IIHARgYz+aMovSkpvM5mi6O0r+wggsBYB+rNWPkWDwEwE6M9M2eIrAmsRyOiPpnyt3O9GkymK3UnsQAABBA4QoD8HoBmCAAKnEKA/p2A0CQIIHCCQ0R9N+QHAMw7JFMWM8fEZAQTGJUB/xs0NzxBYnQD9WT3D4kNgXAIZ/dGUj5vHUz3LFMWphk2GAAK3J0B/bl8CACDQjQD96YaeYQRuTyCjP5rym5RLpihugkSYCCBwEQH6cxFoZhBA4IEA/XlAYgMCCFxEIKM/mvKLktLbTKYoevvKPgIIrEWA/qyVT9EgMBMB+jNTtviKwFoEMvozTFP+009//RqOtz9/+ct//SI78fsPP/zq23GxjnGjLn//+9++/vjjb/8vpj/+8T+7uZopim5OMowAAksSoD9LplVQCExBgP5MkSZOIrAkgYz+DNOUl2b7WUbimGhyf/7552+Hxe8R7D/+8d/PhnXZ989//s833/785z99s//ly5evv/nNr7/+4Q//0cWfTFF0cZBRBBBYlgD9WTa1AkNgeAL0Z/gUcRCBZQlk9GeYpvz3v//d1/jZW6IRjyfj0YjXSzS6PZ9A177Ur8On8K1eypsI5U2Fel+8jjccopn/jCVTFJ9h35wIIHBfAvTnvrkXOQK9CdCf3hlgH4H7EsjozzBN+VbDXaewfLw9njjPumjKZ80cvxFA4B0CmYvSO3aMRQABBFoC9Kcl4ncEELiKQEZ/hmjKo9EOp+NJeazjJ54yx//JLks0tNG41/9PO44Z+f+UF99jHX6H/8+e6ntSXhPzGgEEViGQuSitErM4EEBgDAL0Z4w88AKBOxLI6M8QTXl5Cl7+/3Ukrfwf7NKYx75oaqNxLx//jn0R7N7/KY8GOPZnftqPnJ9RQOF3+PBR0/3R/nd8CfsWBBBAoAcB+tODOpsIIBAE6I86QACBXgQy+jNEU74HKr4ULRrVWKIpj8Da/3P97P+ij9KUl/hKDOVNhNKsR1x7P+VNiTLH0XWmKI7aMA4BBBDYIkB/tqjYhgACVxCgP1dQZgMBBLYIZPRn6Ka8PB2PIOvXddB72+OY0pR/xtPv2ofM62cfYfekPEPSsQggMAuBzEVplpj4iQACcxCgP3PkiZcIrEggoz/TNOXl/5S3CYvGe6/pHrEpj8Z771vmNeVtdv2OAAIrEMhclFaIVwwIIDAOAfozTi54gsDdCGT0Z4imfK/hjua1/F3v8ne/y0e/S1LrY8q2su7ZlIdf5aP3xZ9Yx5PyeLq/tWjKt6jYhgACsxPIXJRmj5X/CCAwFgH6M1Y+eIPAnQhk9GeIpjy+1C2a1WjOyxJNeGyr/wRaNNn1U+byRW/t/zMvc5zZlMebAdFMB9zyE0/oa5+L3ViXL6+r/094jI8x5Yvq6uPjtaa8JeJ3BBBYgUDmorRCvGJAAIFxCNCfcXLBEwTuRiCjP0M05ZGgaKyj4S4Nb7zearajCS7HRBNbN71tos9qymubxXa9jkZ7y9dozGNfOTae+tdvMrT+fubv4YMFAQQQ6EGA/vSgziYCCAQB+qMOEECgF4GM/gzTlH8GrDOa8rohj/nqpjreEChN97Mn4J8RW3bOTFFk53Y8Aggg8IwA/XlGxz4EEPhMAvTnM+maGwEEnhHI6I+m/AnJaMADZvzsfUw9PopeGvNo2kddMkUxagz8QgCBOQnQnznzxmsEViBAf1bIohgQmJNARn9u0ZQHkFd+2i+RK0/Jo+l+tpTj4v/Aj7pkimLUGPiFAAJzEqA/c+aN1wisQID+rJBFMSAwJ4GM/mjKq4a9bcrj/4AHzI+egMf/J4/j4mfr/5aPUEaZohjBXz4ggMA6BOjPOrkUCQKzEaA/s2WMvwisQyCjP7doyj960r2X+vKx9AD66s+zL57bs3PF9kxRXOEPGwggcB8C9Oc+uRYpAqMRoD+jZYQ/CNyHQEZ/NOVP6uJIUx7fuD7ikimKEf3nEwIIzEuA/sybO54jMDsB+jN7BvmPwLwEMvqjKX+S59KUx98Xn33JFMXssfIfAQTGIkB/xsoHbxC4EwH6c6dsixWBsQhk9EdT/iR35e+mx/8tn33JFMXssfIfAQTGIkB/xsoHbxC4EwH6c6dsixWBsQhk9Geopjy+xbw8nY4goimu/y54wVz+/ngc8+OPv939crVyXMx5ZIkn5GEjfrb8ODJnrzERgwUBBBDoQYD+9KDOJgIIBAH6ow4QQKAXgYz+DNOUlz8rVv5Pdvz972jKo6GO12WJbfWT661jyrHvNuX13ymvbZb5y7r4HuBrX8v+EdaZohjBXz4ggMA6BOjPOrkUCQKzEaA/s2WMvwisQyCjP8M05dF8R4NdL+VPjZVGPb7ZPIKr/+xYaZzLMfX4d5vymKt+Wh7+1X82LWwXG+HXyP/3PFMUNUOvEUAAgXcJ0J93CRqPAAJHCdCfo+SMQwCBdwlk9GeYpnwr6HjqHMGUZjca4MxH0UvDnBmz5UfdmIc/Wz9ha+QlUxQjx8E3BBCYjwD9mS9nPEZgFQL0Z5VMigOB+Qhk9GfopjyeSkcw5Sl4+eh6fFz8hx9+9W1fbKufnNfpOqspjznDl63mPLbVT89r+yO9zhTFSH7zBQEE5idAf+bPoQgQmJUA/Zk1c/xGYH4CGf0ZuimP/8ddP+WOL3WLZrx+Kh1NcRwz6v/lHqWcMkUxis/8QACBNQjQnzXyKAoEZiRAf2bMGp8RWINARn+Gbcrj6XgEUj+Fjqa8btJLuqJRj6fnln0CmaLYn8UeBBBAIE+A/uSZGYEAAucQoD/ncDQLAgjkCWT0Z8imvHxsvW20oynf+hb0ve15dOuOyBTFuhREhgACPQjQnx7U2UQAgSBAf9QBAgj0IpDRn+Ga8nhCHk++42Pp7RIN+VZTHk/P64+0t+P87qKkBhBAoB+BzEWpn5csI4DAigToz4pZFRMCcxDI6M9QTXn5Yrb2CXnBXr7grfxe1j6+XkjsrzNFsT+LPQgggECeAP3JMzMCAQTOIUB/zuFoFgQQyBPI6M8wTflHDXnBEB9Vr5+ily96K/uttwlkimJ7hsetMWf8bP0//8ejf7kl3mAp48u36//yiOe/lbFHbMfM74zv6Tvb3/8aw/MK+eVe+f71L4Fc/FvwP3uR03xO6cd8+nHXnJ2pF/TnO8271pO459O+ntf472fM+68y+jNEU17+HnlJQLuuP7Iex8bv5Zj4k2hfvnx5n9riM2SK4lUUJQdHGuOeAhnxzep7T25s3+ui9qoOvHIc/flOyXl0r/Po3Xy/O37Wa933M+b9V/TnO8O71pO46e73s+DaVxn9GaIpvxbPPa1liuKehESNAAKfRYD+fBZZ8yKAwEcE6M9HhOxHAIHPIpDRH035Z2VhsHkzRTGY69xBAIHJCdCfyRPIfQQmJkB/Jk4e1xGYnEBGfzTlkyf7VfczRfHqnI5DAAEEXiFAf16h5BgEEPgMAvTnM6iaEwEEXiGQ0R9N+StEFzgmUxQLhCsEBBAYiAD9GSgZXEHgZgToz80SLlwEBiKQ0R9N+UCJ+0xXMkXxmX6YGwEE7keA/twv5yJGYBQC9GeUTPADgfsRyOiPpvwm9ZEpipsgESYCCFxEgP5cBJoZBBB4IEB/HpDYgAACFxHI6I+m/KKk9DaTKYrevrKPAAJrEaA/a+VTNAjMRID+zJQtviKwFoGM/mjK18r9bjSZotidxA4EEEDgAAH6cwCaIQggcAoB+nMKRpMggMABAhn90ZQfADzjkExRzBgfnxFAYFwC9Gfc3PAMgdUJ0J/VMyw+BMYlkNEfTfm4eTzVs0xRnGrYZAggcHsC9Of2JQAAAt0I0J9u6BlG4PYEMvqjKb9JuWSK4iZIhIkAAhcRoD8XgWYGAQQeCNCfByQ2IIDARQQy+qMpvygpvc1kiqK3r+wjgMBaBOjPWvkUDQIzEaA/M2WLrwisRSCjP5rytXK/G02mKHYnsQMBBBA4QID+HIBmCAIInEKA/pyC0SQIIHCAQEZ/NOUHAM84JFMUM8bHZwQQGJcA/Rk3NzxDYHUC9Gf1DIsPgXEJZPRHUz5uHk/1LFMUpxo2GQII3J4A/bl9CQCAQDcC9KcbeoYRuD2BjP5oym9SLpmiuAkSYSKAwEUE6M9FoJlBAIEHAvTnAYkNCCBwEYGM/mjKL0pKbzOZoujtK/sIILAWAfqzVj5Fg8BMBOjPTNniKwJrEcjoj6Z8rdzvRpMpit1J7EAAAQQOEKA/B6AZggACpxCgP6dgNAkCCBwgkNEfTfkBwDMOyRTFjPHxGQEExiVAf8bNDc8QWJ0A/Vk9w+JDYFwCGf3RlI+bx1M9yxTFqYZNhgACtydAf25fAgAg0I0A/emGnmEEbk8goz+a8puUS6YoboJEmAggcBEB+nMRaGYQQOCBAP15QGIDAghcRCCjP5ryi5LS20ymKHr7yj4CCKxFgP6slU/RIDATAfozU7b4isBaBDL6oylfK/e70WSKYncSOxBAAIEDBOjPAWiGIIDAKQTozykYTYIAAgcIZPRHU34A8IxDMkUxY3x8RgCBcQnQn3FzwzMEVidAf1bPsPgQGJdARn805ePm8VTPMkVxqmGTIYDA7QnQn9uXAAAIdCNAf7qhZxiB2xPI6I+m/CblkimKmyARJgIIXESA/lwEmhkEEHggQH8ekNiAAAIXEcjoj6b8oqT0NpMpit6+so8AAmsRoD9r5VM0CMxEgP7MlC2+IrAWgYz+aMrXyv1uNJmi2J3EDgQQQOAAAfpzAJohCCBwCgH6cwpGkyCAwAECGf3RlB8APOOQTFHMGB+fEUBgXAL0Z9zc8AyB1QnQn9UzLD4ExiWQ0R9N+bh5PNWzTFGcathkCCBwewL05/YlAAAC3QjQn27oGUbg9gQy+qMpv0m5ZIriJkiEiQACFxGgPxeBZgYBBB4I0J8HJDYggMBFBDL6oym/KCm9zWSKorev7COAwFoE6M9a+RQNAjMRoD8zZYuvCKxFIKM/mvK1cr8bTaYodiexAwEEEDhAgP4cgGYIAgicQoD+nILRJAggcIBARn805QcAzzgkUxQzxsdnBBAYlwD9GTc3PENgdQL0Z/UMiw+BcQlk9EdTPm4eT/UsUxSnGjYZAgjcngD9uX0JAIBANwL0pxt6hhG4PYGM/mjKb1IumaK4CRJhIoDARQToz0WgmUEAgQcC9OcBiQ0IIHARgYz+vNWUhyE/GKgBNaAG1IAaUANqQA2oATWgBtSAGvhlDbza/x9uyl814DgEEEAAAQQQQAABBBBAAAEEENgmoCnf5mIrAggggAACCCCAAAIIIIAAAp9OQFP+6YgZQAABBBBAAAEEEEAAAQQQQGCbgKZ8m4utCCCAAAIIIIAAAggggAACCHw6AU35pyNmAAEEEEAAAQQQQAABBBBAAIFtAprybS62IoAAAggggAACCCCAAAIIIPDpBDTln46YAQQQQAABBBBAAAEEEEAAAQS2CWjKt7nYigACCCCAAAIIIIAAAggggMCnE9CUfzpiBhBAAAEEEEAAAQQQQAABBBDYJqAp3+ZiKwIIIIAAAggggAACCCCAAAKfTkBT/umIGUAAAQQQQAABBBBAAAEEEEBgm4CmfJuLrQgggAACCCCAAAIIIIAAAgh8OgFN+acjZgABBBBAAAEEEEAAAQQQQACBbQKa8m0utiKAAAIIIIAAAggggAACCCDw6QQ05Z+OmAEEEEAAAQQQQAABBBBAAAEEtgn8fyLrYiwNR157AAAAAElFTkSuQmCC\" width=\"502\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Iron has a relatively small specific heat capacity; the temperature of a 50 g sample rises by 44.4°C when it absorbs 1 kJ of heat energy.</p>\n<p>Determine the specific heat capacity of iron, in J g<sup>−1 </sup>K<sup>−1</sup>. Use section 1 of the data booklet.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write the half-equation for the reduction of hydrogen peroxide to water in acidic solution.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce a balanced equation for the oxidation of Fe2+ by acidified hydrogen peroxide.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>1:2 ✔</p>\n<p><em>Accept 2 Fe<sup>3+</sup>: 1 Fe<sup>2+</sup></em><br/><em>Do <strong>not</strong> accept 2:1 only</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>mass «spectroscopy»/MS ✔</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"88\" src=\"data:image/png;base64,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\" width=\"515\"/></p>\n<p><em>Award <strong>[1 max]</strong> for 4 correct values.</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>specific heat capacity « = <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mi>q</mi><mrow><mi>m</mi><mo>×</mo><mo>∆</mo><mi>T</mi></mrow></mfrac><mo>/</mo><mfrac><mrow><mn>1000</mn><mo> </mo><mi mathvariant=\"normal\">J</mi></mrow><mrow><mn>50</mn><mo> </mo><mi mathvariant=\"normal\">g</mi><mo>×</mo><mn>44</mn><mo> </mo><mi mathvariant=\"normal\">K</mi></mrow></mfrac></math>» = 0.45 «J g<sup>−1 </sup>K<sup>−1</sup>» ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>H<sub>2</sub>O<sub>2</sub>(aq) + 2H<sup>+</sup>(aq) + 2e<sup>−</sup>→ 2H<sub>2</sub>O(l) ✔</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>H<sub>2</sub>O<sub>2</sub>(aq) + 2H<sup>+</sup>(aq) + 2Fe<sup>2+</sup>(aq) → 2H<sub>2</sub>O(l) + 2Fe<sup>3+</sup>(aq) ✔</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(ii).</div>\n</div>",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "tools"
    ],
    "subtopics": [
      "reactivity-1-1-measuring-enthalpy-changes",
      "reactivity-3-2-electron-transfer-reactions",
      "structure-1-2-the-nuclear-atom",
      "structure-1-4-counting-particles-by-mass-the-mole",
      "tool-1-experimental-techniques"
    ]
  },
  {
    "question_id": "21M.2.SL.TZ1.5",
    "Question": "<div class=\"specification\">\n<p>Ethanol is obtained by the hydration of ethene, C<sub>2</sub>H<sub>4</sub>.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the class of compound to which ethene belongs.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the molecular formula of the next member of the homologous series to which ethene belongs.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Justify why ethene has only a single signal in its <sup>1</sup>H NMR spectrum.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest <strong>two</strong> possible products of the incomplete combustion of ethene that would not be formed by complete combustion.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>A white solid was formed when ethene was subjected to high pressure.</p>\n<p>Deduce the type of reaction that occurred.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>alkene ✔</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>C<sub>3</sub>H<sub>6</sub> ✔</p>\n<p><em>Accept structural formula.</em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>hydrogen atoms/protons in same chemical environment ✔</p>\n<p><em>Accept “all H atoms/protons are equivalent”.</em><br/><em>Accept “symmetrical”</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>carbon monoxide/CO <em><strong>AND</strong> </em>carbon/C/soot ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«addition» polymerization ✔</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div>",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "reactivity-1-3-energy-from-fuels",
      "structure-2-4-from-models-to-materials",
      "structure-3-2-functional-groups-classification-of-organic-compounds"
    ]
  },
  {
    "question_id": "21M.2.SL.TZ1.6",
    "Question": "<div class=\"specification\">\n<p>When dinitrogen pentoxide, N<sub>2</sub>O<sub>5</sub>, is heated the colourless gas undergoes thermal decomposition to produce brown nitrogen dioxide:</p>\n<p style=\"text-align: center;\">N<sub>2</sub>O<sub>5 </sub>(g) → 2NO<sub>2 </sub>(g) + <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>1</mn><mn>2</mn></mfrac></math>O<sub>2 </sub>(g)</p>\n</div><div class=\"specification\">\n<p>Data for the decomposition at constant temperature is given.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest how the extent of decomposition could be measured.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Plot the missing point on the graph and draw the best-fit line.</p>\n<p style=\"text-align:center;\"><img 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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the relationship between the concentration of N<sub>2</sub>O<sub>5</sub> and the rate of reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why increasing the concentration of N<sub>2</sub>O<sub>5</sub> increases the rate of reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>use colorimeter<br/><em><strong>OR</strong></em><br/>change in colour<br/><em><strong>OR</strong></em><br/>change in volume<br/><em><strong>OR</strong></em><br/>change in pressure ✔</p>\n<p><em>Accept suitable instruments, e.g. pressure probe/oxygen sensor.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>point correct ✔</p>\n<p>straight line passing close to all points <em><strong>AND</strong> </em>through origin ✔</p>\n<p><em><br/>Accept free hand drawn line as long as attempt to be linear and meets criteria for M2.</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>« rate of reaction is directly» proportional to/∝[N<sub>2</sub>O<sub>5</sub>]<br/><em><strong>OR</strong></em><br/>doubling concentration doubles rate ✔</p>\n<p><em><br/>Do <strong>not</strong> accept “rate increases as concentration increases”/ positive correlation</em></p>\n<p><em>Accept linear</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>greater frequency of collisions «as concentration increases»<br/><em><strong>OR</strong></em><br/>more collisions per unit time «as concentration increases» ✔</p>\n<p><em><br/>Accept “rate/chance/probability/likelihood” instead of “frequency”.</em></p>\n<p><em>Do <strong>not</strong> accept just “more collisions”.</em></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "tools"
    ],
    "subtopics": [
      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
      "reactivity-2-3-how-far-the-extent-of-chemical-change",
      "tool-1-experimental-techniques",
      "tool-3-mathematics"
    ]
  },
  {
    "question_id": "21M.2.SL.TZ2.1",
    "Question": "<div class=\"specification\">\n<p>Limestone can be converted into a variety of useful commercial products through the lime cycle. Limestone contains high percentages of calcium carbonate, CaCO<sub>3</sub>.</p>\n<p><img height=\"218\" 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\" style=\"display: block; margin-left: auto; margin-right: auto;\" width=\"538\"/></p>\n</div><div class=\"specification\">\n<p>The second step of the lime cycle produces calcium hydroxide, Ca(OH)<sub>2</sub>.</p>\n</div><div class=\"specification\">\n<p>Calcium hydroxide reacts with carbon dioxide to reform calcium carbonate.</p>\n<p style=\"text-align: center;\">Ca(OH)<sub>2 </sub>(aq) + CO<sub>2 </sub>(g) → CaCO<sub>3</sub> (s) + H<sub>2</sub>O (l)</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calcium carbonate is heated to produce calcium oxide, CaO.</p>\n<p style=\"text-align:center;\">CaCO<sub>3 </sub>(s) → CaO (s) + CO<sub>2 </sub>(g)</p>\n<p>Calculate the volume of carbon dioxide produced at STP when 555 g of calcium carbonate decomposes. Use sections 2 and 6 of the data booklet.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Thermodynamic data for the decomposition of calcium carbonate is given.</p>\n<p><img height=\"119\" 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\" style=\"display:block;margin-left:auto;margin-right:auto;\" width=\"205\"/></p>\n<p>Calculate the enthalpy change of reaction, <em>ΔH</em>, in kJ, for the decomposition of calcium carbonate.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The potential energy profile for a reaction is shown. Sketch a dotted line labelled “Catalysed” to indicate the effect of a catalyst.</p>\n<p><img height=\"317\" 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\" style=\"display:block;margin-left:auto;margin-right:auto;\" width=\"454\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why a catalyst has such an effect.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write the equation for the reaction of Ca(OH)<sub>2</sub> (aq) with hydrochloric acid, HCl (aq).</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the volume, in dm<sup>3</sup>, of 0.015 mol dm<sup>−3</sup> calcium hydroxide solution needed to neutralize 35.0 cm<sup>3</sup> of 0.025 mol dm<sup>−3</sup> HCl (aq).</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Saturated calcium hydroxide solution is used to test for carbon dioxide. Calculate the pH of a 2.33 × 10<sup>−2 </sup>mol dm<sup>−3</sup> solution of calcium hydroxide, a strong base.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the mass, in g, of CaCO<sub>3 </sub>(s) produced by reacting 2.41 dm<sup>3</sup> of 2.33 × 10<sup>−2</sup> mol dm<sup>−3</sup> of Ca(OH)<sub>2</sub> (aq) with 0.750 dm<sup>3</sup> of CO<sub>2</sub> (g) at STP.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>2.85 g of CaCO<sub>3</sub> was collected in the experiment in e(i). Calculate the percentage yield of CaCO<sub>3</sub>.</p>\n<p>(If you did not obtain an answer to e(i), use 4.00 g, but this is not the correct value.)</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how <strong>one</strong> calcium compound in the lime cycle can reduce a problem caused by acid deposition.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">f.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>n</em><sub>CaCO3</sub> = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>555</mn><mo> </mo><mi mathvariant=\"normal\">g</mi></mrow><mrow><mn>11</mn><mo>.</mo><mn>09</mn><mo> </mo><mi mathvariant=\"normal\">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></mfrac></math>=» 5.55 «mol» ✓</p>\n<p>«<em>V</em> = 5.55 mol × 22.7 dm<sup>3</sup> mol<sup>−1</sup> =» 126 «dm<sup>3</sup>» ✓</p>\n<p><em><br/>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>Accept method using pV = nRT to obtain the volume with p as either 100 kPa (126 dm<sup>3</sup>) or 101.3 kPa (125 dm<sup>3</sup>).</em></p>\n<p><em>Do not penalize use of 22.4 dm<sup>3</sup> mol<sup>–1</sup> to obtain the volume (124 dm<sup>3</sup>).</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>ΔH</em> =» (−635 «kJ» – 393.5 «kJ») – (−1207 «kJ») ✓</p>\n<p>«<em>ΔH</em> = + » 179 «kJ» ✓</p>\n<p><em><br/>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>Award<strong> [1 max]</strong> for −179 kJ.</em></p>\n<p><em>Ignore an extra step to determine total enthalpy change in kJ: 179 kJ mol<sup>−1</sup> x 5.55 mol = 993 kJ.</em></p>\n<p><em>Award <strong>[2]</strong> for an answer in the range 990 - 993« kJ».</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>lower activation energy curve between same reactant and product levels ✓</p>\n<p><em><br/>Accept curve with or without an intermediate.</em></p>\n<p><em>Accept a horizontal straight line below current line with the activation energy with catalyst/E<sub>cat</sub> clearly labelled.</em></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>provides an alternative «reaction» pathway/mechanism ✓</p>\n<p><em><br/>Do <strong>not</strong> accept “lower activation energy” only.</em></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Ca(OH)<sub>2</sub> (aq) + 2HCl (aq) → 2H<sub>2</sub>O (l) + CaCl<sub>2</sub> (aq) ✓</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>n</em><sub>HCl</sub> = 0.0350 dm<sup>3</sup> × 0.025 mol dm<sup>−3</sup> =» 0.00088 «mol»<br/><em><strong>OR</strong></em><br/><em>n</em><sub>Ca(OH)2</sub> = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>1</mn><mn>2</mn></mfrac></math> <em>n</em><sub>HCl</sub>/0.00044 «mol» ✓</p>\n<p>«<em>V</em> = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mstyle displaystyle=\"true\"><mfrac><mn>1</mn><mn>2</mn></mfrac><mo>×</mo><mn>0</mn><mo>.</mo><mn>00088</mn><mo> </mo><mi>mol</mi></mstyle><mrow><mn>0</mn><mo>.</mo><mn>015</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow></mfrac></math> =» 0.029 «dm<sup>3</sup>» ✓</p>\n<p><em><br/>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>Award <strong>[1 max]</strong> for 0.058 «dm<sup>3</sup>».</em></p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><strong>Alternative 1:</strong></em></p>\n<p>[OH<sup>−</sup>] = « 2 × 2.33 × 10<sup>−2</sup> mol dm<sup>−3</sup> =» 0.0466 «mol dm<sup>−3</sup>» ✓</p>\n<p>«[H<sup>+</sup>] = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>1</mn><mo>.</mo><mn>00</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>14</mn></mrow></msup></mrow><mrow><mn>0</mn><mo>.</mo><mn>0466</mn></mrow></mfrac></math> = 2.15 × 10<sup>−13</sup> mol dm<sup>−3</sup>»<br/>pH = « −log(2.15 × 10<sup>−13</sup>) =» 12.668 ✓</p>\n<p> </p>\n<p><em><strong>Alternative 2:</strong></em></p>\n<p>[OH<sup>−</sup>] =« 2 × 2.33 × 10<sup>−2</sup> mol dm<sup>−3</sup> =» 0.0466 «mol dm<sup>−3</sup>» ✓</p>\n<p>«pOH = −log (0.0466) = 1.332»</p>\n<p>pH = «14.000 – pOH = 14.000 – 1.332 =» 12.668 ✓</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>Award <strong>[1 max]</strong> for pH =12.367.</em></p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>n</em><sub>Ca(OH)2</sub> = 2.41 dm<sup>3</sup> × 2.33 × 10<sup>−2 </sup>mol dm<sup>−3</sup> =» 0.0562 «mol» <em><strong>AND</strong></em><br/>«<em>n</em><sub>CO2</sub> =<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>750</mn><mo> </mo><msup><mi>dm</mi><mn>3</mn></msup></mrow><mrow><mn>22</mn><mo>.</mo><mn>7</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow></mfrac></math>=» 0.0330 «mol» ✓</p>\n<p>«CO<sub>2</sub> is the limiting reactant»</p>\n<p>«<em>m</em><sub>CaCO3</sub> = 0.0330 mol × 100.09 g mol<sup>−1</sup> =» 3.30 «g» ✓</p>\n<p><em><br/>Only award ECF for M2 if limiting reagent is used.</em></p>\n<p><em>Accept answers in the range 3.30 - 3.35 «g».</em></p>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>2</mn><mo>.</mo><mn>85</mn></mrow><mrow><mn>3</mn><mo>.</mo><mn>30</mn></mrow></mfrac></math> × 100 =» 86.4 «%» ✓</p>\n<p><em><br/>Accept answers in the range 86.1-86.4 «%».</em></p>\n<p><em>Accept “71.3 %” for using the incorrect given value of 4.00 g.</em></p>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«add» Ca(OH)<sub>2</sub>/CaCO<sub>3</sub>/CaO <em><strong>AND</strong> </em>to «acidic» water/river/lake/soil<br/><em><strong>OR</strong></em><br/>«use» Ca(OH)<sub>2</sub>/CaCO<sub>3</sub>/CaO in scrubbers «to prevent release of acidic pollution» ✓</p>\n<p><em><br/>Accept any correct name for any of the calcium compounds listed.</em></p>\n<div class=\"question_part_label\">f.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">f.</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "reactivity-2-1-how-much-the-amount-of-chemical-change",
      "structure-1-5-ideal-gases",
      "structure-3-1-the-periodic-table-classification-of-elements"
    ]
  },
  {
    "question_id": "21M.2.SL.TZ2.2",
    "Question": "<div class=\"specification\">\n<p>The properties of elements can be predicted from their position in the periodic table.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why Si has a smaller atomic radius than Al.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the decrease in radius from Na to Na<sup>+</sup>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the condensed electron configurations for Cr and Cr3<sup>+</sup>.</p>\n<p><img height=\"190\" src=\"data:image/png;base64,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\" width=\"768\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe metallic bonding and how it contributes to electrical conductivity.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the Lewis (electron dot) structure and molecular geometry of sulfur dichloride, SCl<sub>2</sub>.</p>\n<p><img height=\"216\" 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\" width=\"433\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest, giving reasons, the relative volatilities of SCl<sub>2</sub> and H<sub>2</sub>O.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Consider the following equilibrium reaction:</p>\n<p style=\"text-align:center;\">2SO<sub>2 </sub>(g) + O<sub>2 </sub>(g) <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> 2SO<sub>3 </sub>(g)</p>\n<p>State and explain how the equilibrium would be affected by increasing the volume of the reaction container at a constant temperature.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">e.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>nuclear charge/number of protons/Z/Z<sub>eff</sub> increases «causing a stronger pull on the outer electrons» ✓</p>\n<p>same number of shells/«outer» energy level/shielding ✓</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Na<sup>+</sup> has one less energy level/shell<br/><em><strong>OR</strong></em><br/>Na<sup>+</sup> has 2 energy levels/shells <em><strong>AND</strong> </em>Na has 3 ✓</p>\n<p>less shielding «in Na<sup>+</sup> so valence electrons attracted more strongly to nucleus»<br/><em><strong>OR</strong></em><br/>effective nuclear charge/Z<sub>eff</sub> greater «in Na<sup>+</sup> so valence electrons attracted more strongly to nucleus» ✓</p>\n<p><em><br/>Accept “more protons than electrons «in Na<sup>+</sup>»” <strong>OR</strong> “less electron-electron repulsion «in Na<sup>+</sup>»” for M2.</em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Cr:</em><br/>[Ar] 4s<sup>1</sup>3d<sup>5</sup> ✓</p>\n<p><em><br/>Cr<sup>3+</sup>:</em><br/>[Ar] 3d<sup>3</sup> ✓</p>\n<p><em><br/>Accept “[Ar] 3d<sup>5</sup>4s<sup>1</sup>”.</em></p>\n<p><em>Accept “[Ar] 3d<sup>3</sup>4s<sup>0</sup>”.</em></p>\n<p><em>Award <strong>[1 max]</strong> for two correct full electron configurations “1s<sup>2</sup>2s<sup>2</sup>2p<sup>6</sup>3s<sup>2</sup>3p<sup>6</sup>4s<sup>1</sup>3d<sup>5</sup> <strong>AND</strong> 1s<sup>2</sup>2s<sup>2</sup>2p<sup>6</sup>3s<sup>2</sup>3p<sup>6</sup>3d<sup>3</sup>”.</em></p>\n<p><em>Award<strong> [1 max]</strong> for 4s<sup>1</sup>3d<sup>5</sup> <strong>AND</strong> 3d<sup>3</sup>.</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>electrostatic attraction ✓</p>\n<p>between «a lattice of» cations/positive «metal» ions <em><strong>AND</strong> </em>«a sea of» delocalized electrons ✓</p>\n<p><br/>mobile electrons responsible for conductivity<br/><em><strong>OR</strong></em><br/>electrons move when a voltage/potential difference/electric field is applied ✓</p>\n<p> </p>\n<p><em>Do <strong>not</strong> accept “nuclei” for “cations/positive ions” in M2.</em></p>\n<p><em>Accept “mobile/free” for “delocalized” electrons in M2.</em></p>\n<p><em>Accept “electrons move when connected to a cell/battery/power supply” <strong>OR</strong> “electrons move when connected in a circuit” for M3.</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>H<sub>2</sub>O forms hydrogen bonding «while SCl<sub>2</sub> does not» ✓</p>\n<p>SCl<sub>2</sub> «much» stronger London/dispersion/«instantaneous» induced dipole-induced dipole forces ✓</p>\n<p><em><strong><br/>Alternative 1:</strong></em><br/>H<sub>2</sub>O less volatile <em><strong>AND</strong> </em>hydrogen bonding stronger «than dipole–dipole and dispersion forces» ✓</p>\n<p><em><strong><br/>Alternative 2:</strong></em><br/>SCl<sub>2</sub> less volatile <em><strong>AND</strong> </em>effect of dispersion forces «could be» greater than hydrogen bonding ✓\\</p>\n<p> </p>\n<p><em>Ignore reference to Van der Waals.</em></p>\n<p><em>Accept “SCl<sub>2</sub> has «much» larger molar mass/electron density” for M2.</em></p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>pressure decrease «due to larger volume» ✓</p>\n<p>reactant side has more moles/molecules «of gas» ✓</p>\n<p>reaction shifts left/towards reactants ✓</p>\n<p><em><br/>Award M3 only if M1 <strong>OR</strong> M2 is awarded.</em></p>\n<div class=\"question_part_label\">e.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">e.</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "reactivity-2-3-how-far-the-extent-of-chemical-change",
      "structure-1-3-electron-configurations",
      "structure-2-1-the-ionic-model",
      "structure-2-2-the-covalent-model",
      "structure-2-3-the-metallic-model",
      "structure-3-1-the-periodic-table-classification-of-elements"
    ]
  },
  {
    "question_id": "21M.2.SL.TZ2.7",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the equilibrium constant expression,\n   <em>\n    K\n   </em>\n   <sub>\n    c\n   </sub>\n   , for the reaction above.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State and explain how the equilibrium would be affected by increasing the volume of the reaction container at a constant temperature.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  «\n  <em>\n   K\n  </em>\n  <sub>\n   c\n  </sub>\n  =\n  <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <msup>\n     <mfenced close=\"]\" open=\"[\">\n      <msub>\n       <mi>\n        SO\n       </mi>\n       <mn>\n        3\n       </mn>\n      </msub>\n     </mfenced>\n     <mn>\n      2\n     </mn>\n    </msup>\n    <mrow>\n     <msup>\n      <mfenced close=\"]\" open=\"[\">\n       <msub>\n        <mi>\n         SO\n        </mi>\n        <mn>\n         2\n        </mn>\n       </msub>\n      </mfenced>\n      <mn>\n       2\n      </mn>\n     </msup>\n     <mfenced close=\"]\" open=\"[\">\n      <msub>\n       <mi mathvariant=\"normal\">\n        O\n       </mi>\n       <mn>\n        2\n       </mn>\n      </msub>\n     </mfenced>\n    </mrow>\n   </mfrac>\n  </math>\n  »  ✓\n </p>\n <p>\n  <em>\n   <br/>\n   Square brackets required for the mark.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  pressure decrease «due to larger volume» ✓\n </p>\n <p>\n  reaction shifts to side with more moles/molecules «of gas» ✓\n </p>\n <p>\n  reaction shifts left/towards reactants ✓\n </p>\n <p>\n  <em>\n   <br/>\n   Award M3 only if M1\n   <strong>\n    OR\n   </strong>\n   M2 awarded.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far"
    ],
    "subtopics": [
      "reactivity-2-3-how-far-the-extent-of-chemical-change"
    ]
  },
  {
    "question_id": "21N.2.HL.TZ0.11",
    "Question": "<div class=\"specification\">\n<p>50.00 cm<sup>3</sup> of 0.75 mol dm<sup>−3</sup> sodium hydroxide was added in 1.00 cm<sup>3</sup> portions to 22.50 cm<sup>3</sup> of 0.50 mol dm<sup>−3</sup> chloroethanoic acid.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the initial pH before any sodium hydroxide was added, using section 21 of the data booklet.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The concentration of excess sodium hydroxide was 0.362 mol dm<sup>−3</sup>. Calculate the pH of the solution at the end of the experiment.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Sketch the neutralisation curve obtained <strong>and</strong> label the equivalence point.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>K</em>a = 10<sup>–2.87</sup> = 1.35 × 10<sup>–3</sup> »</p>\n<p>«1.35 × 10<sup>–3</sup> = <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mfenced close=\"]\" open=\"[\"><mi>chloroethanoate</mi></mfenced><mo>×</mo><mfenced close=\"]\" open=\"[\"><msup><mi mathvariant=\"normal\">H</mi><mo>+</mo></msup></mfenced></mrow><mrow><mn>0</mn><mo>.</mo><mn>50</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow></mfrac><mo>=</mo><mfrac><msup><mi mathvariant=\"normal\">x</mi><mn>2</mn></msup><mrow><mn>0</mn><mo>.</mo><mn>50</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow></mfrac></math> »</p>\n<p>«x = [H<sup>+</sup>] =<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msqrt><mn>1</mn><mo>.</mo><mn>4</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>×</mo><mn>0</mn><mo>.</mo><mn>50</mn></msqrt></math>=» 2.6 × 10<sup>–2</sup> «mol dm<sup>–3</sup>» ✔</p>\n<p><br/>«pH = –log[H<sup>+</sup>] = –log(2.6 × 10<sup>–2</sup>) =» 1.59 ✔</p>\n<p> </p>\n<p><em>Accept final answer in range 1.58–1.60.</em></p>\n<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«pOH = –log(0.362) = 0.441»</p>\n<p>«pH = 14.000 – 0.441 =» 13.559 ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p><em><strong>OR</strong></em></p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>starts at 1.6 <em><strong>AND</strong> </em>finishes at 13.6 ✔</p>\n<p>approximately vertical at the correct volume of alkali added ✔</p>\n<p>equivalence point labelled <em><strong>AND</strong> </em>above pH 7 ✔</p>\n<p> </p>\n<p><em>Accept any range from 1.1-1.9 <strong>AND </strong>13.1-13.9 for <strong>M1</strong> or ECF from 11c(i) and 11c(ii).</em></p>\n<p><em>Award <strong>M2</strong> for vertical climb at 28 cm<sup>3</sup> <strong>OR</strong> 15 cm<sup>3</sup>.</em></p>\n<p><em>Equivalence point must be labelled for <strong>M3</strong>.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
    "topics": [
      "reactivity-3-what-are-the-mechanisms-of-chemical-change"
    ],
    "subtopics": [
      "reactivity-3-1-proton-transfer-reactions"
    ]
  },
  {
    "question_id": "21N.2.HL.TZ0.2",
    "Question": "<div class=\"specification\">\n<p>Electron transitions are related to trends in the periodic table.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the general increase in trend in the first ionization energies of the period 3 elements, Na to Ar.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Sodium emits yellow light with a frequency of 5.09 × 10<sup>14 </sup>Hz when electrons transition from 3p to 3s orbitals.</p>\n<p>Calculate the energy difference, in J, between these two orbitals using sections 1 and 2 of the data booklet.</p>\n<p> </p>\n<p style=\"text-align:center;\"><em>Darling, D, n.d. D lines (of sodium). [online] Available at &lt;https://www.daviddarling.info/encyclopedia/D/D_lines.html&gt; [Accessed 6 May 2020].</em></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>increasing number of protons<br/><em><strong>OR</strong></em><br/>increasing nuclear charge ✔</p>\n<p>«atomic» radius/size decreases<br/><em><strong>OR</strong></em><br/>same number of shells/electrons occupy same shell<br/><em><strong>OR</strong></em><br/>similar shielding «by inner electrons» ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«ΔE = hν = 6.63 × 10<sup>–34 </sup>J s × 5.09 × 10<sup>14 </sup>s<sup>–1</sup> =» 3.37 × 10<sup>–19 </sup>«J» ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div>",
    "topics": [
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "structure-1-3-electron-configurations",
      "structure-3-2-functional-groups-classification-of-organic-compounds"
    ]
  },
  {
    "question_id": "21N.2.HL.TZ0.3",
    "Question": "<div class=\"specification\">\n<p>White phosphorus is an allotrope of phosphorus and exists as P<sub>4</sub>.</p>\n</div><div class=\"specification\">\n<p>An equilibrium exists between PCl<sub>3</sub> and PCl<sub>5</sub>.</p>\n<p style=\"text-align: center;\">PCl<sub>3 </sub>(g) + Cl<sub>2 </sub>(g) <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> PCl<sub>5 </sub>(g)</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Sketch the Lewis (electron dot) structure of the P<sub>4</sub> molecule, containing only single bonds.</p>\n<p> </p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write an equation for the reaction of white phosphorus (P<sub>4</sub>) with chlorine gas to form phosphorus trichloride (PCl<sub>3</sub>).</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the electron domain and molecular geometry using VSEPR theory, and estimate the Cl–P–Cl bond angle in PCl<sub>3</sub>.</p>\n<p><img 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\"/></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the reason why PCl<sub>5</sub> is a non-polar molecule, while PCl<sub>4</sub>F is polar.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the standard enthalpy change (Δ<em>H</em><sup>⦵</sup>) for the forward reaction in kJ mol<sup>−1</sup>.</p>\n<p style=\"text-align:center;\">Δ<em>H</em><sup>⦵</sup><sub>f</sub> PCl<sub>3 </sub>(g) = −306.4 kJ mol<sup>−1</sup></p>\n<p style=\"text-align:center;\">Δ<em>H</em><sup>⦵</sup><sub>f</sub> PCl<sub>5 </sub>(g) = −398.9 kJ mol<sup>−1</sup></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the entropy change, Δ<em>S</em>, in J K<sup>−1 </sup>mol<sup>−1</sup>, for this reaction.</p>\n<p style=\"text-align:center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align:center;\"> </p>\n<p style=\"text-align:center;\"><em>Chemistry 2e, Chpt. 21 Nuclear Chemistry, Appendix G: Standard Thermodynamic Properties for Selected Substances https://openstax.org/books/chemistry-2e/pages/g-standard-thermodynamic-properties-for- selectedsubstances# page_667adccf-f900-4d86-a13d-409c014086ea © 1999-2021, Rice University. Except where otherwise noted, textbooks on this site are licensed under a Creative Commons Attribution 4.0 International License. (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/.</em></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the Gibbs free energy change (Δ<em>G</em>), in kJ mol<sup>−1</sup>, for this reaction at 25 °C. Use section 1 of the data booklet.</p>\n<p>If you did not obtain an answer in c(i) or c(ii) use −87.6 kJ mol<sup>−1</sup> and −150.5 J mol<sup>−1 </sup>K<sup>−1</sup> respectively, but these are not the correct answers.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the equilibrium constant, <em>K</em>, for this reaction at 25 °C, referring to section 1 of the data booklet.</p>\n<p>If you did not obtain an answer in (c)(iii), use Δ<em>G</em> = –43.5 kJ mol<sup>−1</sup>, but this is not the correct answer.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the equilibrium constant expression,<em> K</em><sub>c</sub>, for this reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State, with a reason, the effect of an increase in temperature on the position of this equilibrium.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(vi).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"109\" src=\"data:image/png;base64,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\" width=\"282\"/></p>\n<p><em>Accept any diagram with each P joined to the other three. <br/>Accept any combination of dots, crosses and lines.</em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>P<sub>4 </sub>(s) + 6Cl<sub>2 </sub>(g) → 4PCl<sub>3 </sub>(l) ✔</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Electron domain geometry</em>: tetrahedral ✔</p>\n<p><em>Molecular geometry</em>: trigonal pyramidal ✔</p>\n<p><em>Bond angle</em>: 100«°» ✔</p>\n<p><em><br/>Accept any value or range within the range 91−108«°» for <strong>M3</strong>.</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>PCl<sub>5</sub> is non-polar</em>:</p>\n<p>symmetrical<br/><em><strong>OR</strong></em><br/>dipoles cancel ✔</p>\n<p> </p>\n<p><em>PCl<sub>4</sub>F is polar:</em></p>\n<p>P–Cl has a different bond polarity than P–F ✔</p>\n<p>non-symmetrical «dipoles»<br/><em><strong>OR</strong></em><br/>dipoles do not cancel ✔</p>\n<p><em><br/></em><em>Accept F more electronegative than/different electronegativity to Cl for <strong>M2</strong>.</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«−398.9 kJ mol<sup>−1</sup> − (−306.4 kJ mol<sup>−1</sup>) =» −92.5 «kJ mol<sup>−1</sup>» ✔</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«ΔS = 364.5 J K<sup>–1 </sup>mol<sup>–1</sup> – (311.7 J K<sup>–1 </sup>mol<sup>–1</sup> + 223.0 J K<sup>–1 </sup>mol<sup>–1</sup>)=» –170.2 «J K<sup>–1 </sup>mol<sup>–1</sup>» ✔</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«ΔS =» –0.1702 «kJ mol<sup>–1 </sup>K<sup>–1</sup>»<br/><em><strong>OR</strong></em><br/>298 «K» ✔</p>\n<p>«ΔG = –92.5 kJ mol<sup>–1</sup> – (298 K × –0.1702 kJ mol<sup>–1 </sup>K<sup>–1</sup>) =» –41.8 «kJ mol<sup>–1</sup>» ✔</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>If –87.6 and -150.5 are used then –42.8.</em></p>\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«ΔG = –41.8 kJ mol<sup>–1</sup> = <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>-</mo><mfrac><mrow><mn>8</mn><mo>.</mo><mn>31</mn><mo> </mo><mi mathvariant=\"normal\">J</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo> </mo><msup><mi mathvariant=\"normal\">K</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow><mn>1000</mn></mfrac></math> × 298 K × ln<em>K</em>»<br/><em><strong>OR</strong></em><br/>«ΔG = –41800 J mol<sup>–1</sup> = –8.31 J mol<sup>–1 </sup>K<sup>–1</sup> × 298 K × ln<em>K</em>»<br/><br/>«ln<em>K</em> = =» 16.9 ✔</p>\n<p>«<em>K</em> = e<sup>16.9</sup> =» 2.19 × 10<sup>7</sup> ✔</p>\n<p> </p>\n<p><em>Award<strong> [2]</strong> for correct final answer.</em></p>\n<p><em>Accept range of 1.80 × 10<sup>6</sup>–2.60 × 10<sup>7</sup>.</em></p>\n<p><em>If –43.5 is used then 4.25 × 10<sup>7</sup>.</em></p>\n<div class=\"question_part_label\">c(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>K</em><sub>c</sub> =» <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mfenced close=\"]\" open=\"[\"><msub><mi>PCl</mi><mn>5</mn></msub></mfenced><mrow><mfenced close=\"]\" open=\"[\"><msub><mi>PCl</mi><mn>3</mn></msub></mfenced><mfenced close=\"]\" open=\"[\"><msub><mi>Cl</mi><mn>2</mn></msub></mfenced></mrow></mfrac></math> ✔</p>\n<div class=\"question_part_label\">c(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«shifts» left/towards reactants <em><strong>AND</strong> </em>«forward reaction is» exothermic/ΔH is negative ✔</p>\n<div class=\"question_part_label\">c(vi).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(vi).</div>\n</div>",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions",
      "reactivity-2-how-much-how-fast-and-how-far",
      "structure-2-models-of-bonding-and-structure"
    ],
    "subtopics": [
      "reactivity-1-2-energy-cycles-in-reactions",
      "reactivity-1-4-entropy-and-spontaneity",
      "reactivity-2-1-how-much-the-amount-of-chemical-change",
      "reactivity-2-3-how-far-the-extent-of-chemical-change",
      "structure-2-2-the-covalent-model"
    ]
  },
  {
    "question_id": "21N.2.HL.TZ0.5",
    "Question": "<div class=\"specification\">\n<p>Phosphoric acid, H<sub>3</sub>PO<sub>4</sub> can form three different salts depending on the extent of neutralisation by sodium hydroxide.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Formulate an equation for the reaction of one mole of phosphoric acid with one mole of sodium hydroxide.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Formulate <strong>two</strong> equations to show the amphiprotic nature of H<sub>2</sub>PO<sub>4</sub><sup>−</sup>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the concentration of H<sub>3</sub>PO<sub>4</sub> if 25.00 cm<sup>3</sup> is completely neutralised by the addition of 28.40 cm<sup>3</sup> of 0.5000 mol dm<sup>−3</sup> NaOH.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the reasons that sodium hydroxide is considered a Brønsted–Lowry and Lewis base.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>H<sub>3</sub>PO<sub>4 </sub>(aq) + NaOH (aq) → NaH<sub>2</sub>PO<sub>4 </sub>(aq) + H<sub>2</sub>O (l) ✔</p>\n<p><em><br/>Accept net ionic equation.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>H<sub>2</sub>PO<sub>4</sub><sup>− </sup>(aq) + H<sup>+ </sup>(aq) → H<sub>3</sub>PO<sub>4 </sub>(aq) ✔</p>\n<p>H<sub>2</sub>PO<sub>4</sub><sup>− </sup>(aq) + OH<sup>− </sup>(aq) → HPO<sub>4</sub><sup>2− </sup>(aq) + H<sub>2</sub>O (l) ✔</p>\n<p><em><br/>Accept reactions of H<sub>2</sub>PO<sub>4</sub><sup>−</sup> with any acidic, basic or amphiprotic species, such as H<sub>3</sub>O<sup>+</sup>, NH<sub>3</sub> or H<sub>2</sub>O. </em></p>\n<p><em>Accept H<sub>2</sub>PO<sub>4</sub><sup>−</sup> (aq) → HPO<sub>4</sub><sup>2−</sup> (aq) + H<sup>+</sup> (aq) for <strong>M2</strong>.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>NaOH</mi><mo> </mo><mfrac><mrow><mn>28</mn><mo>.</mo><mn>40</mn><mo> </mo><msup><mi>cm</mi><mn>3</mn></msup></mrow><mn>1000</mn></mfrac><mo>×</mo><mn>0</mn><mo>.</mo><mn>5000</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>=</mo><mn>0</mn><mo>.</mo><mn>01420</mn><mo> </mo><mi>mol</mi></math>»</p>\n<p>«<math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>01420</mn><mo> </mo><mi>mol</mi></mrow><mn>3</mn></mfrac><mo>=</mo></math>» 0.004733 «mol» ✔</p>\n<p>«<math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>004733</mn><mo> </mo><mi>mol</mi></mrow><mstyle displaystyle=\"true\"><mfrac><mrow><mn>25</mn><mo>.</mo><mn>00</mn><mo> </mo><msup><mi>cm</mi><mn>3</mn></msup></mrow><mn>1000</mn></mfrac></mstyle></mfrac><mo>=</mo></math>» 0.1893 «mol dm<sup>−3</sup>» ✔</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Brønsted–Lowry base:</em><br/>proton acceptor</p>\n<p><em><strong>AND</strong></em></p>\n<p><em>Lewis Base:</em><br/>e<sup>–</sup> pair donor/nucleophile ✔</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "tools"
    ],
    "subtopics": [
      "reactivity-2-3-how-far-the-extent-of-chemical-change",
      "reactivity-3-1-proton-transfer-reactions",
      "reactivity-3-4-electron-pair-sharing-reactions",
      "tool-1-experimental-techniques",
      "tool-3-mathematics"
    ]
  },
  {
    "question_id": "21N.2.SL.TZ0.2",
    "Question": "<div class=\"question\">\n<p>Explain the general increase in trend in the first ionization energies of the period 3 elements, Na to Ar.</p>\n</div>",
    "Markscheme": "<div class=\"question\">\n<p>increasing number of protons</p>\n<p><em><strong>OR</strong></em></p>\n<p>increasing nuclear charge ✔</p>\n<p> </p>\n<p>«atomic» radius/size decreases</p>\n<p><em><strong>OR</strong></em></p>\n<p>same number of shells/electrons occupy same shell</p>\n<p><em><strong>OR</strong></em></p>\n<p>similar shielding «by inner electrons» ✔</p>\n</div>",
    "Examiners report": "<div class=\"question\">\n[N/A]\n</div>",
    "topics": [
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "structure-1-3-electron-configurations",
      "structure-3-1-the-periodic-table-classification-of-elements"
    ]
  },
  {
    "question_id": "21N.2.SL.TZ0.3",
    "Question": "<div class=\"specification\">\n<p>White phosphorus is an allotrope of phosphorus and exists as P<sub>4</sub>.</p>\n</div><div class=\"specification\">\n<p>An equilibrium exists between PCl<sub>3</sub> and PCl<sub>5</sub>.</p>\n<p style=\"text-align: center;\">PCl<sub>3 </sub>(g) + Cl<sub>2 </sub>(g) <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> PCl<sub>5 </sub>(g)</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Sketch the Lewis (electron dot) structure of the P<sub>4</sub> molecule, containing only single bonds.</p>\n<p> </p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write an equation for the reaction of white phosphorus (P<sub>4</sub>) with chlorine gas to form phosphorus trichloride (PCl<sub>3</sub>).</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the electron domain and molecular geometry using VSEPR theory, and estimate the Cl–P–Cl bond angle in PCl<sub>3</sub>.</p>\n<p><img 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\"/></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the polarity of PCl<sub>3</sub>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the standard enthalpy change (<em>ΔH</em><sup>⦵</sup>) for the forward reaction in kJ mol<sup>−1</sup>.</p>\n<p style=\"text-align:center;\"><em>ΔH</em><sup>⦵</sup><sub>f</sub> PCl<sub>3 </sub>(g) = −306.4 kJ mol<sup>−1</sup></p>\n<p style=\"text-align:center;\"><em>ΔH</em><sup>⦵</sup><sub>f</sub> PCl<sub>5 </sub>(g) = −398.9 kJ mol<sup>−1</sup></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the equilibrium constant expression,<em> K</em><sub>c</sub>, for this reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State, with a reason, the effect of an increase in temperature on the position of this equilibrium.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(iii).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"109\" src=\"data:image/png;base64,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\" width=\"282\"/></p>\n<p><em><br/>Accept any diagram with each P joined to the other three. <br/></em></p>\n<p><em>Accept any combination of dots, crosses and lines.</em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>P<sub>4 </sub>(s) + 6Cl<sub>2</sub> (g) → 4PCl<sub>3</sub> (l) ✔</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Electron domain geometry</em>: tetrahedral ✔</p>\n<p><em>Molecular geometry</em>: trigonal pyramidal ✔</p>\n<p><em>Bond angle</em>: 100«°» ✔</p>\n<p> </p>\n<p><em>Accept any value or range within the range 91−108«°» for <strong>M3</strong>.</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>polar <em><strong>AND</strong> </em>unsymmetrical distribution of charge<br/><em><strong>OR</strong></em><br/>polar <em><strong>AND</strong> </em>dipoles do not cancel<br/><em><strong>OR</strong></em><br/>«polar as» dipoles «add to» give a «partial» positive «charge» at P and a «partial» negative «charge» at the opposite/Cl side of the molecule ✔</p>\n<p><em>Accept “polar <strong>AND</strong> unsymmetrical molecule”.</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«−398.9 kJ mol<sup>−1</sup> − (−306.4 kJ mol<sup>−1</sup>) =» −92.5 «kJ mol<sup>−1</sup>» ✔</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>K</em><sub>c</sub> =» <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mfenced close=\"]\" open=\"[\"><msub><mi>PCl</mi><mn>5</mn></msub></mfenced><mrow><mfenced close=\"]\" open=\"[\"><msub><mi>PCl</mi><mn>3</mn></msub></mfenced><mfenced close=\"]\" open=\"[\"><msub><mi>Cl</mi><mn>2</mn></msub></mfenced></mrow></mfrac></math> ✔</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«shifts» left/towards reactants <em><strong>AND</strong> </em>«forward reaction is» exothermic/ΔH is negative ✔</p>\n<div class=\"question_part_label\">c(iii).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(iii).</div>\n</div>",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions",
      "reactivity-2-how-much-how-fast-and-how-far",
      "structure-2-models-of-bonding-and-structure"
    ],
    "subtopics": [
      "reactivity-1-2-energy-cycles-in-reactions",
      "reactivity-2-1-how-much-the-amount-of-chemical-change",
      "reactivity-2-3-how-far-the-extent-of-chemical-change",
      "structure-2-2-the-covalent-model"
    ]
  },
  {
    "question_id": "21N.2.SL.TZ0.5",
    "Question": "<div class=\"specification\">\n<p>Phosphoric acid, H<sub>3</sub>PO<sub>4</sub>, can undergo stepwise neutralization, forming amphiprotic species.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Formulate an equation for the reaction of one mole of phosphoric acid with one mole of sodium hydroxide.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Formulate <strong>two</strong> equations to show the amphiprotic nature of H<sub>2</sub>PO<sub>4</sub><sup>−</sup>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the concentration of H<sub>3</sub>PO<sub>4</sub> if 25.00 cm<sup>3</sup> is completely neutralised by the addition of 28.40 cm<sup>3</sup> of 0.5000 mol dm<sup>−3</sup> NaOH.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the reason that sodium hydroxide is considered a Brønsted–Lowry base.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>H<sub>3</sub>PO<sub>4 </sub>(aq) + NaOH (aq) → NaH<sub>2</sub>PO<sub>4 </sub>(aq) + H<sub>2</sub>O (l) ✔</p>\n<p><em><br/>Accept net ionic equation.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>H<sub>2</sub>PO<sub>4</sub><sup>−</sup> (aq) + H<sup>+</sup> (aq) → H<sub>3</sub>PO<sub>4</sub> (aq) ✔</p>\n<p>H<sub>2</sub>PO<sub>4</sub><sup>−</sup> (aq) + OH<sup>−</sup> (aq) → HPO<sub>4</sub><sup>2−</sup> (aq) + H<sub>2</sub>O (l) ✔</p>\n<p><em><br/>Accept reactions of H<sub>2</sub>PO<sub>4</sub><sup>−</sup> with any acidic, basic or amphiprotic species, such as H<sub>3</sub>O<sup>+</sup>, NH<sub>3</sub> or H<sub>2</sub>O. </em></p>\n<p><em>Accept H<sub>2</sub>PO<sub>4</sub><sup>−</sup> (aq) → HPO<sub>4</sub><sup>2−</sup> (aq) + H<sup>+</sup> (aq) for <strong>M2</strong>.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«NaOH <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>28</mn><mo>.</mo><mn>40</mn><mo> </mo><msup><mi>cm</mi><mn>3</mn></msup></mrow><mn>1000</mn></mfrac><mo>×</mo><mn>0</mn><mo>.</mo><mn>5000</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>=</mo><mn>0</mn><mo>.</mo><mn>01420</mn><mo> </mo><mi>mol</mi></math>»</p>\n<p>«<math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>01420</mn><mo> </mo><mi>mol</mi></mrow><mn>3</mn></mfrac><mo>=</mo></math>» 0.004733 «mol» ✔</p>\n<p>«<math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>004733</mn><mo> </mo><mi>mol</mi></mrow><mstyle displaystyle=\"true\"><mfrac><mrow><mn>25</mn><mo>.</mo><mn>00</mn><mo> </mo><msup><mi>cm</mi><mn>3</mn></msup></mrow><mn>1000</mn></mfrac></mstyle></mfrac><mo>=</mo></math>» 0.1893 «mol dm<sup>−3</sup>» ✔</p>\n<p><em><br/>Award <strong>[2]</strong> for correct final answer.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«OH<sup>−</sup> is a» proton acceptor ✔</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "tools"
    ],
    "subtopics": [
      "reactivity-2-3-how-far-the-extent-of-chemical-change",
      "reactivity-3-1-proton-transfer-reactions",
      "tool-1-experimental-techniques",
      "tool-3-mathematics"
    ]
  },
  {
    "question_id": "21N.2.SL.TZ0.7",
    "Question": "<div class=\"specification\">\n<p>Alkanes undergo combustion and substitution.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the molar enthalpy of combustion of an alkane if 8.75 × 10<sup>−4</sup> moles are burned, raising the temperature of 20.0 g of water by 57.3 °C.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Formulate equations for the two propagation steps and one termination step in the formation of chloroethane from ethane.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>q</em> = <em>mc</em>Δ<em>T</em> = 20.0 g × 4.18 J g<sup>−1 </sup>°C<sup>−1</sup> × 57.3 °C =» 4790 «J» ✔</p>\n<p>«<math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>∆</mo><msub><mi>H</mi><mtext>c</mtext></msub><mfrac><mrow><mn>4790</mn><mo> </mo><mi mathvariant=\"normal\">J</mi></mrow><mstyle displaystyle=\"true\"><mfrac><mn>1000</mn><mrow><mn>8</mn><mo>.</mo><mn>75</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>4</mn></mrow></msup><mo> </mo><mi>mol</mi></mrow></mfrac></mstyle></mfrac><mo>=</mo></math>» –5470 «kJ mol<sup>–1</sup>» ✔</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> for correct final answer. </em></p>\n<p><em>Accept answers in the range –5470 to –5480 «kJ mol<sup>−1</sup>». </em></p>\n<p><em>Accept correct answer in any units, e.g. –5.47 «MJ mol<sup>−1</sup>» or 5.47 x 10<sup>6 </sup>«J mol<sup>−1</sup>».</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Cl<strong>·</strong> + C<sub>2</sub>H<sub>6</sub> → <strong>·</strong>C<sub>2</sub>H<sub>5</sub> + HCl ✔</p>\n<p><strong>·</strong>C<sub>2</sub>H<sub>5</sub> + Cl<sub>2</sub> → Cl<strong>·</strong> + C<sub>2</sub>H<sub>5</sub>Cl ✔</p>\n<p><br/><strong>·</strong>C<sub>2</sub>H<sub>5</sub> + Cl<strong>·</strong> → C<sub>2</sub>H<sub>5</sub>Cl<br/><em><strong>OR</strong></em><br/>Cl<strong>·</strong> + Cl<strong>·</strong> → Cl<sub>2</sub><br/><em><strong>OR</strong></em><br/><strong>·</strong>C<sub>2</sub>H<sub>5</sub> + <strong>·</strong>C<sub>2</sub>H<sub>5</sub> → C<sub>4</sub>H<sub>10</sub> ✔</p>\n<p><em><br/>Do not penalize incorrectly placed radical sign, eg </em>C<sub>2</sub>H<sub>5</sub><em><strong>·</strong>.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div>",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "tools"
    ],
    "subtopics": [
      "reactivity-1-1-measuring-enthalpy-changes",
      "reactivity-3-3-electron-sharing-reactions",
      "tool-1-experimental-techniques"
    ]
  },
  {
    "question_id": "21N.2.SL.TZ0.8",
    "Question": "<div class=\"specification\">\n<p>Fast moving helium nuclei (<sup>4</sup>He<sup>2+</sup>) were fired at a thin piece of gold foil with most passing undeflected but a few deviating largely from their path. The diagram illustrates this historic experiment.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: center;\"><em>Figure from PPLATO / FLAP (Flexible Learning Approach To Physics), http://www.met.reading.ac.uk/pplato2/h-flap/</em><br/><em>phys8_1.html#top 1996 The Open University and The University of Reading.</em></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest what can be concluded about the gold atom from this experiment.</p>\n<p><img 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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Subsequent experiments showed electrons existing in energy levels occupying various orbital shapes.</p>\n<p>Sketch diagrams of 1s, 2s and 2p.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the electron configuration of copper.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Most <sup>4</sup>He<sup>2+</sup> passing straight through:</em></p>\n<p>most of the atom is empty space<br/><em><strong>OR</strong></em><br/>the space between nuclei is much larger than <sup>4</sup>He<sup>2+</sup> particles<br/><em><strong>OR</strong></em><br/>nucleus/centre is «very» small «compared to the size of the atom» ✔</p>\n<p> </p>\n<p><em>Very few <sup>4</sup>He<sup>2+</sup> deviating largely from their path:</em></p>\n<p>nucleus/centre is positive «and repels <sup>4</sup>He<sup>2+</sup> particles»<br/><em><strong>OR</strong></em><br/>nucleus/centre is «more» dense/heavy «than <sup>4</sup>He<sup>2+</sup> particles and deflects them»<br/><em><strong>OR</strong></em><br/>nucleus/centre is «very» small «compared to the size of the atom» ✔</p>\n<p> </p>\n<p><em>Do <strong>not</strong> accept the same reason for both <strong>M1</strong> and <strong>M2</strong>.</em></p>\n<p><em>Accept “most of the atom is an electron cloud” for <strong>M1</strong>.</em></p>\n<p><em>Do not accept only “nucleus repels <sup>4</sup>He<sup>2+</sup> particles” for <strong>M2</strong>.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"174\" 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\" width=\"372\"/></p>\n<p>1s <em><strong>AND</strong> </em>2s as spheres ✔</p>\n<p>one or more 2p orbital(s) as figure(s) of 8 shape(s) of any orientation (p<sub>x</sub>, p<sub>y</sub> p<sub>z</sub>) ✔</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>1s<sup>2</sup>2s<sup>2</sup>2p<sup>6</sup>3s<sup>2</sup>3p<sup>6</sup>4s<sup>1</sup>3d<sup>10</sup></p>\n<p><em><strong>OR</strong></em></p>\n<p>[Ar] 4s<sup>1</sup>3d<sup>10</sup> ✔</p>\n<p> </p>\n<p><em>Accept configuration with 3d before 4s.</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
    "topics": [
      "structure-1-models-of-the-particulate-nature-of-matter"
    ],
    "subtopics": [
      "structure-1-2-the-nuclear-atom",
      "structure-1-3-electron-configurations"
    ]
  },
  {
    "question_id": "21N.2.SL.TZ0.9",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest what can be concluded about the gold atom from this experiment.\n  </p>\n  <p>\n   <img 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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Subsequent experiments showed electrons existing in energy levels occupying various orbital shapes.\n  </p>\n  <p>\n   Sketch diagrams of 1s, 2s and 2p.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the electron configuration of copper.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Most\n   <sup>\n    4\n   </sup>\n   He\n   <sup>\n    2+\n   </sup>\n   passing straight through:\n  </em>\n </p>\n <p>\n  most of the atom is empty space\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  the space between nuclei is much larger than\n  <sup>\n   4\n  </sup>\n  He\n  <sup>\n   2+\n  </sup>\n  particles\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  nucleus/centre is «very» small «compared to the size of the atom» ✔\n </p>\n <p>\n  <em>\n   <br/>\n   Very few\n   <sup>\n    4\n   </sup>\n   He\n   <sup>\n    2+\n   </sup>\n   deviating largely from their path:\n  </em>\n </p>\n <p>\n  nucleus/centre is positive «and repels\n  <sup>\n   4\n  </sup>\n  He\n  <sup>\n   2+\n  </sup>\n  particles»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  nucleus/centre is «more» dense/heavy «than\n  <sup>\n   4\n  </sup>\n  He\n  <sup>\n   2+\n  </sup>\n  particles and deflects them»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  nucleus/centre is «very» small «compared to the size of the atom» ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept the same reason for both\n   <strong>\n    M1\n   </strong>\n   and\n   <strong>\n    M2\n   </strong>\n   .\n  </em>\n </p>\n <p>\n  <em>\n   Accept “most of the atom is an electron cloud” for\n   <strong>\n    M1\n   </strong>\n   .\n  </em>\n </p>\n <p>\n  <em>\n   Do not accept only “nucleus repels\n   <sup>\n    4\n   </sup>\n   He\n   <sup>\n    2+\n   </sup>\n   particles” for\n   <strong>\n    M2\n   </strong>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(i))\n </div><div class=\"card-body\">\n <p>\n  <img height=\"174\" src=\"data:image/png;base64,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\" width=\"372\"/>\n </p>\n <p>\n  1s\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  2s as spheres ✔\n </p>\n <p>\n  one or more 2p orbital(s) as figure(s) of 8 shape(s) of any orientation (p\n  <sub>\n   x\n  </sub>\n  , p\n  <sub>\n   y\n  </sub>\n  p\n  <sub>\n   z\n  </sub>\n  ) ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(ii))\n </div><div class=\"card-body\">\n <p>\n  1s\n  <sup>\n   2\n  </sup>\n  2s\n  <sup>\n   2\n  </sup>\n  2p\n  <sup>\n   6\n  </sup>\n  3s\n  <sup>\n   2\n  </sup>\n  3p\n  <sup>\n   6\n  </sup>\n  4s\n  <sup>\n   1\n  </sup>\n  3d\n  <sup>\n   10\n  </sup>\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  [Ar] 4s\n  <sup>\n   1\n  </sup>\n  3d\n  <sup>\n   10\n  </sup>\n  ✔\n </p>\n <p>\n  <em>\n   <br/>\n   Accept configuration with 3d before 4s.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "structure-1-models-of-the-particulate-nature-of-matter"
    ],
    "subtopics": [
      "structure-1-2-the-nuclear-atom",
      "structure-1-3-electron-configurations"
    ]
  },
  {
    "question_id": "22M.2.HL.TZ1.3",
    "Question": "<div class=\"specification\">\n<p>Ammonia is produced by the Haber–Bosch process which involves the equilibrium:</p>\n<p style=\"text-align: center;\">N<sub>2 </sub>(g) + 3 H<sub>2 </sub>(g) <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> 2 NH<sub>3 </sub>(g)</p>\n<p>The percentage of ammonia at equilibrium under various conditions is shown:</p>\n<p style=\"text-align: center;\"><img 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iPCePXt4zRtBEpMnTyIvL28OhoPLXV8GENQzM6PaxYLkioO0B335P0EQBEGoalTbCnDIIURO4Scff0KHjxyhQYMG0i+//MJJ/gClAteuXUtTHprKv7/8ysv0wOTJXEYQYI0cRQRQUQjdeD784AMad884Tk1D4/vVq1fzcULFQG2AwtS0AN0eoTxgYnr48CHq27efbo9QEY4fP65LTZOUyXKjpCVdXZd79+6hIUOG6naaBoXe2Tr8v6lQbcX8UmYmffPNN/Tmf9/iSm7z5s2h3r37cKAcQJeejRs30H33TeLfbyXmvr4+9P7779OYMWPoiJoYTJ8+nfPPhYoTFnaWvxNvby/dHqE8XLp0mbs2de3SWbdHqAgoPoX4GQTDCuUDVTQvxl2k1WvW0OOPP6bbaxpgiRVGHOKnTIVqK+YbN22i77/7ntaoC8nbx4uOHzt+Q3UfrKfv3rWLBg0ewr8/9/xzNHXqVC4oA4qLeYcO7en111+nwYMHs2X+n//8h9atW8fHCRUjNDSUGjSQojEVBamTsMylaIxhgMcIlnnTplI05nbBdYhyqZAWM7P6lKPG2jGjR+seNR2K1yYxBartmvlxdTOeOn2K3eo9evT4R5k+WIN29vZkbVNYfx3r6znZ2fxzYXOAHIpPiOcL0sPDk0vA6oHrpXgxGtnKv9WuXfJ+2W5vk/No2A3nU85p2Tb0ID9x/DhtUgYUtgYNGlLHjp24RjpqkVtamJf4vKq+mRrVUswzMjMoIiKCLirrGiLcvn0H3SN/gy8Lj3VSFx0IOXKEm6ggMA7lAfftP8DFZCDmgS2a37JRgCAIQk0CYyw6hh04cIBTd+vwkoQPb+5I61XjJYKOscRpisJoilTLs3zh/AXuXJOdncNrH02bluzChZgPH343/4zi/osXL6aff/6Ffv3tN/pzwZ+85oN2dSgwgy49giAINRF4K9Gj++zZs7xhLRzpvfBSwsuJcRLxRthsbMvfsEQoP9VSzCMjI4vKryJS2tPDg3++GcwaBwwYoC5Af7pLzR7nz19Ar7z6Cn34wYe8Jt6wQQMaPHgQNW/RQlohCoJQo4CAo74GWnkmJSVSQkICtyXFhlRdWOEdOnSgwMDAoiwh4c5RLcUcbnJciBBgGxvrUl3kCHDx8fGlV197lVuimluY0/Vr19nVDqFHH9rXX3uNoxoFQRCqO1hWRAMqiDV6faPoFlLL9u/frwQ9mfr3788bvJWosClUHaplNPvF+IuUoSxzXJAWFpYs1P9GbFws7dq1i06ePEW17rqLL1bkpiOYozjSAtWwSAtUwyAtUA1LTW2BihLXhw4dVFZ4IhfSatO6FRsziEovD7fbAlUoP9VSzLHWDcscHw3BF2VZv8FzYJGj9SnAjQyRublogIi5YRExNwwi5oalJok50siioqLYo4nOks2bNSNbOzt+DOcAbUjLWzxFxLzyqJZudlx8KPiAC7GsgRh4DnrPIigOG5q2mFL1H0EQhLIAgwXtn7dt28Yb1sPRWApdI1u1akWOjo48FmLD+CnjoGkgOQOCIAjVHKyDX7wYRydPnqQTJ05w2i5EGxtiilxdXVjQkbUD97pgeoiYC4IgVEMg4ImJCdzmOS4uljN8kF6Wn59HZvXNOMAXm5ub+z9igwTTQ8RcEAShmgAXOro8ovEOUspQPAvWONLJkD7Wtm076tSpMzVr1lz3DKG6IGIuCIJQTUhIiKd9+/ZxV0ekk/n7+dPQoUOpR4+e5OrqJsVcqjEi5oIgCCYK0m/jYmNp7ty5vKHyZZs2rem+++6jESNGkJOzs+5IobojYi4IgmBCQMDPng2jLVu28BZ9Lpqtb2xBQS2lmEsNRcRcEAShigMBP3XqJO3Zs4cOHT7Mv3t7e1GzZs3I378xCzg2pJPVri2u9JqIiLkgCEIVBK1FUdDl1KlTFB4eztHpqH+Bwi6Ojo24NbOXlxc5iytdUIiYC4IgVAFQsRLR6GhogrXv+Ph4/jkxMZGj0z2VeKPMdMugIM4NR2EsQdAjYi4IgnAHgcWdm5vLOeDp6WnsRkef8Hgl6K6urtS7d28KDg7m1qJSjU0oDRFzQRCEOwhywTdsWM/pZCEhIdS3T28aMWI4devencVcEMqCiLkgCEIlgqZOiEZfunQpLVy4kHuGd+vWnUaNGk19+vSl+vXRF0KGZuH2kCtGEATByKAjY0REOG3cuJGbm1y5coU6d+5MPXv2pKZNm3JzJzSGwjq4uNKF8iBiLgiCYCTOnDlNR44c5pKqV67kcfS5p6cnu88RxIbGJpaWllKZTagwIuaCIAgGAhY3os+RSoYNddKvXr1GtWrVIgcHewoICKDGjRurnx15nyAYCrmaBEEQKsC1a1cpXdfYBKlkFy5coKioKN58vH2obdu2nFLm7Oyie4YgGB4Rc0EQhNsEOeEIZENeeGZmJh3Yv5+2btuqBDySHB0daODAgbzZOziIC12oFETMBUEQbhMUdNm0aSNHoyMnvEOH9jRaF43u5eWtO0oQKo9qLeYoxBAZEUHLli2jvxb+RceOhfIaVmlcvnSJDh06xMcuX7GcLsReoOvadd2jgiDUZNJSUzkSffny5exCbxnUkoYPH84R6aiLXrt2bd2RglD53KXBX1QN2b17N61Zs0bNmg9yKcTr16+TlZUVNW3ahIbdPYy6d+vOv+vZvn0736RHjx6lzMxL6sasRbZ2djRyxAgaPXo0R54CPP5///d/tH79ev5dqBiYYNWvX58CApro9gjlISMjnSei/fr11+0RKsLx48dYnFH3PDo6WhkB2dSgQX1ysHegemZmfM1i/EA6mVA6WILYv38fDRgwULdHMBbV0jKH22vBggVq+5N27NjBBRrQJnDXrl20ZMlSmvPHHP4ZYC6DWfavv/1GixYtVvt3U2hoKB05EkKbN22mWbNmcW4oAlsEQaj+pKen0/nz5+nMmTCKiYlh4ba3t+fmJq5ubuTu7k4ODkrURciFKkS1E/O8K1eUKC9SVvlavilbtgyicePG0sSJEzmiFMUbtm7dSps3b6bs7GwW87Vr19CG9Rs4GjWgSQANGzaUBg8eRC5qVn70aCgt+PNP7lwE614QhOoFxgCMC+hQBvFOSIhn7xyW6WCd+/r6UmBgIPn4+LCwC0JVxKhijpvkakEBJScns2WLoJGStri4OL6R4A6vKBfU62zcuIln1k2aNKHHHnuMvv32W/r2m29o2rSnqH379lykAUKelpbKaSVz5sylS5cyycXFhe6//3764Ycf6Juvv6Z+/fryzbxNif/JkyfUzZ2j+yuCIJg66AmOGJrMzAweo06cPEnHjh3j/Z6eHmqsaKeMgVbUoEFD3TMEoepi1DVzpG0kKhH/XokjrF6kcpREphJSWNQjho+gh6ZO1e0tH999/z198vEnXLjhiScep/fff5/MzMz4sStXcjkHFEKO9S6sh2H27eRUmP85+YHJ9Ogjj3CZRczUQ44coQEDB3Ff4aeeepInBrjRZc3ccMiauWGQNfPbJ+zMGYqMjKRsdX87OTWiDh06FAk31szhRm/SpCn/LpQPWTOvPIxmmaOtHzoADR48hD5W4jpr1mz67bffS9yWLlnG61O4qSrKwf37KVvNtl1dXcjO1pZOnzrFgv7444/Te++9rwa9TGrs35h8fHy5MtN+dbwedzc3cnR05J9RI7lps6ZUq1ZhneTz5y/wREAQBNMEXrjU1FSaP38+b1k52dSla1caO3Ysde/eQyxwwaQxmpjDEg8NPUpR0dG81ly7TmHaBn5u2LChElNvFk78bmZWj/z9/cnDw4OPqQhxFy9SfkE+V2T6Y+4cenDKFPpeWetLly6j2bN/paemTaPf5/zB7w8TjqTkZN0zierVRaODwgIPKLVoaYlo90IxxxKAIZYBBEGoXLAOvnPnDtq0aTPXStcXdGnWtBl76NDYRJqbCKaO0cQ8KSmJTpw4yYLZt28fmjFjBvXt15dvHtQn/s9/XqKvvvqS2rVvq2bEDbhesa+Pj+7Z5QduHVjcsM4TEhIpJzeX2rRpoyYLfpSWlkbHjx+n5cuW0/bt23gigZQTPXcpK7x468HieaN5eVcoPy9P95sgCFUVrBwivgVZLXv37uVJOJbUEEMDj5ydnR1vMCokN1yoLhhtzXzXzp0044svaO3adfT+++/RQw89RN999x39/vsf5OrmSh999CG1a9uOPvvsU/rm25nUqWNHevTRR6lPnz66VygfHTt0pNNnzvDadrt27WjkyBEciZqRnk6//zGH1xVxA99//3303LPP0vKVK+mZ6c/wc99++y2aPHnyDR4CGxtbDpLB+3v8icf5tV544QVOfRMqDrpJ1a9vRn5+/ro9QnnAJPbo0RDq2bOXbk/NIycnmzLUebiSe4UF/dKlS/x/o0aO5OjgSGa3EYmO7JV69eoqI6Cxbo9QHvAdHD5ymHr36q3bYxpgmdXUutkZTcxRhOWzTz+lLVu30o8//kDDh4+gdevWscs7OzuH/u/l/+OCLKdPn6J77pnAATxPP/00vfjiixXqJtSrVy8KCTnKQW+PPPIwvfLyy2ShvhTwxx9/8Pr96dOnadSoUfTWf9+kwyFH6KEphUF3+B1i7unlxb9fv35NzeAdWMx79uzB6+5YDnhWTQJmzfqFjxEqxunTZ/i78vWtuFemJoNBM/TYcereLVi3p2YAzx9SUOGNQ4DrpcuXKT8vn719zZo1UxP38o0liOHBgO7n56vbI5SHy+r7CDkaSj26d9PtMQ3q12/ANfbr1SsMnjYJIObG4MCBA9qUKVM0dVK0J554QouMiNC2bNmijRkzVmvRIlD77LPPtOzsbO1sWJgWFBSk1a5dR1MiqakbUvcK5eOeceM0e3sHrW27dtrPv/ys21vIsWOhWteuwfy3hg0dpu3evUtbv34d/47t9ddf08LDw/nYa9euaZcuZWrW1jb82JgxY7QNGzZoISEh2oABA/gYoeKEhh7VwsLO6H4Tykt6epq2ceMG3W/VG9ybeXl5Wk5OjpacnKStW7dWW7x4sXZg/34tIyNDd1TFwFhx5sxp3W9CecH3gTFWMD5GWzP38vSkrl26cnrajz/+RI88+iilpqawyys6OopmzZ5Fv8yaxS7r2Ng4fg7WsDHTrgh+ynJGqtN19TrX1Wy9OAh6KyjI558RkGdtbU2BLQL5d5CSmsruSoD3gbQVvCfg5ubGmyAIdxbEvuzbu5eWLFnCy2Zqgs4llzt07Mj3tCDURIwm5g6OjtSpcyfq1bMH/75nz152WTRt2lQJeiMKPxtBb7z+Bm3avIVdMU5qn6urKzVsaM7Hlxe42RFkFx4RQQcOHeSJg5q0sAvuiy++5NKtCHxxc3fjHFJH9XebN2/Grt6tW7ZyqhrW2/GekE6HyUjdenWpcUBjcQULwh0CAagozYzqjijs4q3uRaSUoUuZhYWF7ihBqLkYTcyx7o3yh++8+y49+dSTnAoCEUdk+6T776dGSuyxFg3hhJBPvHci9e/fv8IpIij80KJFc14zW79+Az3zzLO8bn7vfffR3r37lEhncWBct27dObgBwXAo9YoJADwE3347k0aPGU0PTnmQ09lgoXfp3Jlz0/XFZwRBMD4QcEzGUXr5yJEjHJHepUsXLsvs1MiJ70cUdpG0MkEgqv2WQvezwUEACW5Adw8PatWqJVvlTk7O7K5GIBlEt1fvXjRixHAaNGgQp6dVtHkBRBwu9IsXL1KEss7PxcRw1yOkpGHy0K5dW5owYQL169evyCWHfPfY2Av8HLQ9jTkXw7mpSGmBNf7oo49QcHAwH4+ytJs2baJJkybxc4WKgUp9mFTZ2zvo9gjl4cqVK3z9+vr66faYLqiNHh19jlNLUegFGSW2tjY8duhTyowdZZyUlMgTfTRUEcoPKmnGxcVKtkolcMdaoMLiTU5OUoJfj3sBG/LmhAivWLGCRRdCjnVwrKN7eXnTgAH9qW/fvtw8oTiItF+7Zi3XZ0atZpyWRmr236tXTxZ/Dw93qlWrtrRANTBSztUwmHI518JlsCvcpwE/I0c8N/cKiym8eehSVtlIOVfDIOVcKw+DivmJEyfUTCyfLC0t2G197dp1thbKAnKNcePq+4ZXlKtXC9i6Rtcz/G9ra8teAFcX11Ld5RfOn+ccdRyPwDd0XOvYsRMPKnpEzA2LiLlhMEUxxxIbRBzWG4o8nQ0P5/sOBZ48PDzv6LKWiLlhEDGvPAwq5ogMP3/hAruksTaOhibvvvue7tFbA3c28syxVWVEzA2LiLlhMCUxh2Bj2IlXE30IOOqlI6cX9dGLT5zvJCLmhkHEvPIwWgCcIAjCzcCFvmvXTk4ri4yOohaBLWjcuHHUq1fvKiPkgmCKGNQyf/nll3ndq3HjAAoKCuRa5osWL9Y9emtcXF1p8ODBNHDAAN2eqolY5oZFLHPDUJUtc7Q3xrhw6MhhMje3oJZqbLCwsGTLF1tVFHGxzA2DWOaVh0HF/MyZM7wGZm5uznVttevXKT4hQfforcGAjqhyfQvSqoqIuWERMTcMVVHMY2NjOVsBa+INGzbgqHRkuCBCHEJZlVPKRMwNg4h55XHHotlNFRFzwyJibhiqiphfu3aNM0hyc3P5Zwg2RBEBsaZUQVHE3DCImFceRhVzVE9LS0vlZhqXs7Lo2tWrHPhSErDm/fz8eKvKiJgbFhFzw3AnxRyijYqJ2BDclpiYwFktzs5OanNhL52pIWJuGETMKw+jibn+pkb+9tdff0ORUVGUm5PL+0tCotlrJiLmhuFOiHnB1QLKu5LHS2twqSOlEwLYrVswr4mbcmU2EXPDIGJeeRgtmv3SpUzasXMnTXt6uhqwj1N2VnapQi4IgukRFxdHa9etpR07tlOdOrW5iiOCWC0traTEqiBUMkYT84iISNqwfiPP3IGTsxPf6JMnTypxQ9OEFoF/dzATBKHqAUvrwIH99Otvv1JUZCT179efRowYSS1atJDeBYJwBzGam33Xrl00Y8YMWrFiJTk2cqQfvv+OAgICqLRm74hytbK2Jqsqvr4mbnbDIm52w2BsN3tkZASdP3+erqvhwt3Njezs7Fm8EetSHfPDxc1uGMTNXnkYzTLHjYCcUrjbEMXaqlVrHrDRSa2kDfWXq7qQC0JNAstiJ04cpz179vAyGVoU+/v5k4uLK6eQIkJdCr0IQtXAaGKOXFL0Ca9btw7lZGdTTk4OR70KglB1gYCnpaVxzYizZ8/yPYsuhPbqfvb29iEvLy8WcUEQqhZGE3M7ezt2qyMtJSo6mjZvKexJjEGipC0qKorSMzJ0zxYEoTJBF0OIOFr8xl2MowsXznOTJLQq7tC+A3vXZE1cEKouRlszx6CwceNG+uijj5RYh3EFqE6dOnF/85JwcXGhAQMHUr++fXV7qiayZm5YZM3cMJRnzRy3PjZ0L8vOzuJr+/LlLPLw9KTAGh7QJmvmhkHWzCsPo1nmKCABaxtCDnJycmnr1m00f/6CErdly5bR6VOn+FhBEIxPgRLx2AsXaO68uWrA3U+tW7ehkSNHUru2bcUKFwQTw2hiLghC1SQ1LZX27ttLK1etpHMx52jihInUt28/7vkvCIJpYjQ3OwLe0CkJ1nlZaNCgAXl6evJWlRE3u2ERN7thKIubPSExgcLCwgjlXOzs7clel15mZ2dXeIBQhLjZDYO42SsPo9ZmL4mrVwt4na5u3Xq6PaaFiLlhETE3DKWJOdbD09LT6HzMeapduxbfd+bmDcleiTm6mAklI2JuGETMKw+jizleHjXaw8MjKCkpiS5dusTpLhjA65nV47zVgIDGRTnphiAnN4fS09L5/5KoXbsOp9c4qAGtOAjaw3ZJXYAojgGLpVmzplSnTt2i9yZiblhEzA3DzWKeeyWXMtIzKPNSJtdOv5R5iRwc7MnX14/Pt3BrRMwNg4h55WFUMUfXtOTkZFq1ahUtX7aMQo6GUmpqamHuqrISLK0suRTkhPH3UJs2bVk8a9Wq+DL+2fBw2r17F8Wci9HtuZGG5ubq77Wh/v368e/Irb1w4QJt2bKF9u7dyw0jrqv32KRpU5o06X5q2rQZp9jhvYmYGxYRc8MAMT948CD17NmLsrOz1e8ZFBcXS9k5OeTq4kpBQUG6I4WyIGJuGETMKxGIubGIjY3V3nn3XU1ZwrwpC1erW7de0Ybfsd/P10+bO3eulpOTrXtmxVjw559a1+Dgor978+bi7KK98soruqM1LSs7S5s8ebLmrPbjcbwv/Xvz8PTU1q9bp2VnZfGxISEh2oABA/hnoeKEhh7VwsLO6H4TyktaWpq2bt1aLSoqUps3f562atVK7dy5aN2jwu2iJpnamTOndb8J5UVNKrX169fpfhOMiVFT0w4oS+HDDz/k3+FS79S5Iz3x5BP01ttv0RNPPE5NAgLYfX1OWcJ//vkXbdu2nY+tKEi3gVuxLMAqnzVrNm3atJm9CFhLbKmsmI4dO/DjF+Mu0uefz6B9+/bx74JQ1cC9dibsDN8/0dHRNGrkSBo6dBh5eXnrjhAEobpjNDGPOR9Du3ft4gAcCPnHH31EM7+dSa++8go9+sgj6v9XacWKFdS3Xx92YcN9fcpAeeZwmWNtvnPnTvTJpx/TwoV/3rD9/MtPdN999/KxakJDv/76K7uDmjZtQv956UVatHgRff/99zRt2lPcAGavEnK47vPyrvBzBKEqgIyRAwcP0M5dOylX/YzrvVOnzmRmJmviglDTMJqYwzKOjY2lu9S/gMaNqVevXkosm5KTkxPXbUdLVF8/X7p3wkTOb4VVjFS27Kws3SuUn3PnzvGaobe3Nw0eOIh69+59wxYc3I0DgbCmj3XF8LPhPOlo1bIVte/QgRu/NFbveeSokVSnTh1egwxXYh4Tc173FwThzoDJZ35+Hsd2HD9+nCwsLCgoMIjrpqODGTZDBZIKgmA6GE3M4b6GWGJgsba2Zvc1AkpuBoKOXFeIaV5eHl27XrFmLBDelJQUylMDXmpKKm3bto1mzvyet7/+WkiRkVHqPRXmtePvRUZFsYWD9+vm7kaNGjXi14FF3qJ586KAvLi4ON4E4U6A6xPeo9NnztDJk6eoYcOGfF8huM3Dw4Ps7CTNTBBqMkYTcwg0+pPDkkhKSmZrGaKpB/shpsePn6Dc3FyqW68u1VcCW1q/87KSAOs+O4e06xqdOHmCvvrqa3rzzTd5++CDD+iXX36hffv3s+WeryYbFy7E6p5JnH+rT9uBiGOw1Fs56ekZ/BxBqGzQgCg2LpYnk6lqooolpBYtWrCny8bGRneUIAg1GaOJOdLM/JTVDdGGi/rPv/7irmnoxIRcbqxrHz92jGbPns3pauiPDBd8RXNgo6KjeJIASyZDWTKZauDz9PRg1/7Fi/H0448/0U8//UwhR4/StatXlUin655JnE8OtzqAiBefWOTkFLZxFYTK4sqVXPY0RUREUOjRUL5WEZjZs2fPoutUEAQBGE3M0fe4Z48e3C0NfPP1NzR8xHC6++676YHJkzm/vHOXrkrgQ9gyD+4aTO3bteNjK0JEZBQXyUAP5t69etGsWT/Tvn176f3/vcdtWWFxb1i/npYuWaJ7RtnAksFVtQlCZbFnzx6u0WCu7qH+/ftRcHCwBLcJglAiRi0agzW+Pbt304SJE5VVm8v7YPFiw5+F9Qy6dQumV199lfr27Uu1a9fmfeUFoov1d7w+Xgtr3/gf/Zrfeecdmjt3LrvWhw0bSv/3f/+hY8eP05NPPMXPffvtt2iymmhgDVIPSl5mZWUpa6gHPfbYY9zf+ZlnptO3336rO0KoCGFhZ3lJxtvbS7enZgMXelRUNBcu6tChPXu4EGvyb8WULl2+TCdOnKSuXTrr9ggV4ezZcB47fHwkva8iXFZj57Fjx5Wx1kW3xzRAICl6+NevX2iMmgJGFXNUeoMQHj58iFavXkOhoccoKSmRxRY3ipurGw0Y2F+JeXdq0qQJr1Ebkzlz5tBHH31Mp0+fpsGDB9FragKBi23w4CH8+CuvvEwPPvgA+fn5F7rp09M56j0rO5sj2x9XYg53/YsvvkjLly/n5wgVAxHZWFpB9kBNBrniERHhhUtODo7kriaUVlaWN5QSvhWI5zhy5DD16dNXt0eoCCdOnOBJVEBAgG6PUB4uXcrkyoToymdKoEIplln/bRJdlaiURisQ77Nnz/JaOcQdIs8BZlZW5K8GcWdnZ75xDMEP33/PA5uTes127drdUMbym2++Udu3vAY5csQIJewf8tpjk2bN6NrVa/TQQ1Po4YcfVhZRh8LgvGPHqI+6CLFW/vjjj7Fljvcu5VwNR00v51pQkM8WNRoQwYWOVDN99sftUJauaULZkXKuhkHKuVYeRp92YK5wJe8Kubg4U+vWrdilDpd19+7dqGWrlrymjtlbWloq5ZbSGOV22LBhA83+9Tf66aefaOOmTZy/DgHGZGLnzp0cRGRrY0Pu7m4s+Mh3hysNnoJjSrwxi0QVLbRuXb5iBbvnkcaGGABXV1fdXxGEioHJIoJAcV0ibxxLDbi+fH19b1vIBUEQar+l0P1scDBgnT9/nnbs3EEnlfWBXsoYvEraYmPjlKDWKcrzLi/79+2jIyEhnE+OXHMzNbvG7BDV5hYuXMTuzLbt2nIgXvv27alWrdos3mHqPWBwzcnNpZzsbGUtHafff5/D4t+seTMaO3YstWndmr0Lm9QkYdKkSbq/KFSExMRE9o7Y2zvo9lRvcE/AO5WWllaYapaapia5rdXk0oPX6coLgj6RKYJlIaHiYDkQsTZYVhPKD653FObC0qVgZOBmNwbKGtYiIiK06dOn39DkpLStcePG2ldffaV7dvk5fvy41qNHD83CwpKbuRT/G2Zm9TU3d3ftk08+0ZJTkvn469evc6OPDh07ag3NzYsarGDDz3id//3vf/xZgDRaMSw1pdEKrrP8/HxufrJ161Zt/fr1WnJSku7RipOenqZt3LhB95tQUaTRimHIkEYrlYbR3OywOlauXEHffjtTt6dyCAwMpG+/+YYeeGAyOTs76fYWgujgr778kqZMmUIOOksQwUVYr/36qy9p6JAh3JYV1Kp1FxeReeut/9KD6ng/P7F4hPJz+fIlWr1mNdf4R0aEmhCSg6Oj7lFBEISKYbQAuP3793PA2fz5C7jRyuRJk8jD04PMSqnwhhzwtm3assuxoiA9Te/KTElJpszMS+To4EAurq4cXIT1yZujFBGkBxc8XO2JiQns+kVtd8dGTmTesGFRypz0Mzcs1T0ADu5v1DlIS0unTp068Xq4Pl3SkEgAnGGRADjDIAFwlYfRxHz37t30pbKCly1bTkFBgfT1119z3l5pof4Y4BDJi81QIPANIo1IYaQZ4Ob8tzQfrPFgw3Gof33zoCtibliqq5gjXxyNhhLUxNDDzZ0amptzlUNDZW3cjIi5YRExNwwVFXOM3zDIMCmGdiAY2cnJWfco8diekZHJQdSlgVzxm4OXkfGEeC4EOuNe9fXzo8AWLTgdFHFUNxMSEsKGHjQBabQIiC4JZKfgOLTURtYU3ncDNb4hY6t5YCD17tVTad2/61B5MJqYo53pb7/9RjNmfEHNWzSn1atWsZibOiLmhqW6iTkGl/PnL/Aghvu1npkZeXl68SBgjBtYj4i5YRExNwwVFfM1a9bQjh07uHkWAkRhGD788CO6R4kuXoyjDRs20q5du3R7bgQTAPQweP7553V7iOuMbNq8mYOlExOTuAIpSom3adOKhg0dRs2aN2fvrZ7ff/+dM53g8YVcWiqDc8jQoVyRsTgIQEVjry1btqjjj3NwL8Qd4m1jY02eahxAm+JJk+5X4u5i8Im90aLZ4aaGZYwPhQjw5s2acSGWy1mXKSM9g6PEi2+oQY3BrvhJrIpINLthqU7R7FieQVMhFH7BIOKsLAikmpXFI1RRJJrdsEg0u2EobzQ7tAL30QcffEhLly7jlr/IOsK9NHLkSN1REOYzNH/+fJozZ64ytEL/saGGg6Zdp/vuu4+Px+Ri3rx5bGhu3bKVKy1iTIfAnzkTxqnSMDrhRYN+xcbF0XvvvkcWlhacwgwxh6GK2Jfhd9/NrwnQvnvjxo3c+wMlmBPV9QOLHIYKUk/j4xM4aytUGS8Qdi8vb7KwMC/VU10ejBYAh25OrVq1ol69elJaahp9/PHH9M2339Iff8yhufPm/mNDsBw+rCCYEhh0MGAhPgMNhbAh8LJly5YcoyEIwu0DK3j79u1sOEHUSyMpKYnSlDGIZVpbW1sW4uIb3OvF6zaEhh5Vk4OldPrUaXW8DTVv3ozatm3Dljms/8XqMXgC8PdxX6M/AgzQBx54gJ599jmaNm0aDRkyhJYtW8ZiD7AUgBommCDsU9Y+BBwuexw3duwYGjRoENdUQbwWtPCzz2dw0zFMAAyJ0cQcHxSuP5TrBGh1OnvWbPrf+/+jd95+9x/bF198ybMvQTAlcMPHxJyjZcuXkZu7O/Xr14/dafA2CIJQPlB18/333+dA5luBomCZGRnUqJEjjRgxnN787xs3bK++9gpNmDhBdzTRnLlzea28QYP6XGtky+bNLNhPPvkEiz5EHkKbkBDPE3W8vouzM7vW4alB1VJMEPLz8tV7u8zHwPOwWb3Ojh072XMQENCYVq1cSd/NnKmM2E+Utf4D/fD9d/z+QHJSMq1bv57mL/iTfzcURhPzM2Fh6sTNo127duv2CEL14syZM8p62MYz+oemPEQ+3j5sIQiCUH4gtl9+9RUv0d5//30sjqXdVwgyhXXu6elJDz30EE19aOo/tqFDhrJ7HBVGt23brgQ6hdq0acMTb3vdMsq0aU8VWfARkZF04OAhXvLt17cP7VHW9sJFi5RYb6e/Fi1U4vwjVzC1trZhN/maNWvp0KHD/Fw3N1eaO3cOe+Xq6N4z+iu0bNmK/ve//5GDo716zl108MABWrd2LT9uKIwm5pgtXVBfCkBqGjqS/f77r7RgwbwStxkzZtDAgZK+IFR90tPS1KCwlSNoW7VqTa1bt9E9IghCRbiSm6us48LgaRtbG3rssUfJy8tT9+g/0Yt5enpGUSzT+PHj6bnnnqPVq1fzRBtAzBFTgteHNW1rZ0eOyprXY2FhyWvZsKzTUlMp9sIF9q4hBuXNN9+kw8paf3r6M8ra/o7clFC/8/bbumcWGq6xyjqHG71Fixb8nJJiZPD4Lz//zGv277//Hr366iu6RwyD0cQcKQQ2trY8c0EYP7qUIaIR3XNK2hAZiNmVIFRVUKf/wMGDHPyCuv4IbkOAFCLVBUGoOKdOn6YVK1aqCXM6TZ06lRo3DuDUspLIunyZU8xyc69wkbK//vqLI9s3b97C6+KffPIJ/fzLzxQZGcECDjHHPQxQ5htr23rgQjdTv+P/7KxsDsrWB2Qj0O2ZZ56h1197jV555RV+X82VaANEqyOI91LmJbKysuK0tdKCuDFRQIdQtPru0qULtW/fQfeIYTCamLu4uFCnjh05GOiaOoFwSaA3M4IUStoQMFf85ApCVQHr4rhhT548SZoaFKytrcjTw1MJuaO41QXBQGB9es/u3bR7z24KaBJA999/P9cdKS0TRN+FE0KNY5C61q9fXw5qQ2vrvfv20Z8L/uRgNQS0IWPq+vXCTGwYmbXuulH+IOR4nbz8fE5X0+OOWBglwOPGjaMRI0ZQu/bti7QKE4nc7Bx+/fr1zVjjSgOvDescegc9xM+GxGhiDpdFE/WFoAwqova279hOhw4d5IC4kjZEst8qalEQ7gRIZcH1G3cxjlLTUqlJQADnxFekKYogCDcCQT58+BBt2bqVg99Gjx5FQYGBtwwkRSMtlEaGVxflkWEx/+c/L3Gr6vbt2pGlhSWnnK1atVpNFJJYwEuZF9wAXPJ4P2UBgd44HuB/fYT7ncCIa+aZdPFiPFlaWvLs5fXX3qA33vgvffDBByVuP/z4I0cRCkJVADclBhV9uhnccn169ylaOhIEwXBcuZJL69at58qhiBYfPHAQr4djK7SSIbCF9yT2wV2O5dtnn32GZs78lj7++CN69NFHOYYFOeUTJ05UQu+njrvGpZThVSu0pgvVXKe/N6AXZXjbylrvBHnpddXYgDEB7zM5KUn3yD/BBAHr8fDywXCFK9+QGG1UgpsDsyJE+gEEKSB8/6+/Fpa4rVyxgqODBaEqkJqSQkuXLeNBo3OnTtSiRaDuEUEQDA30AWvaaAmMDKh27TuQt7cPbxs3bqKCgqssykuWLFUi3ZguxF5QgluffHx8Oejs5nirDu3bc545wD186dJl8lDH6C39q9euUsHVAv5ZD4q7YBKPte+ytuLGe3BwsOflAATbHQ4p3SBF2djp06fTsGHD6KmnnqL//Oc/ukcMg5gYglAMzK6RgoJ0lP79+nHPewvLwk56giBUHZAz/tprr9Ebb7zB6+LFuRgfz42zACxtFIVBWWVLy8J88cSEBIq9EMuPA0wmUlPSOD7GwdGBPEupvV4Sbdu2JT8/X/XcfDoXHUM//vTTP9z0yEk/ejSElixdxil3eE9lnTCUFaOJOYIGHnzwQdq6dUuZtrnqixkzZozu2YJQuWD2jgYJO3bu4MCU4K5dOZgFM/nSAnAEQTAMyPF+/PHH6KeffvjHhupptWrX4iXbrl270PffzyQ7W1uKVdY5GprMnTuPli9fzsVbANzXKNqCOCykRTu7OHNeOVzhmJwjAA2lW3fv3sXPycu7ov7OT0UxWx5Ku2Dtl5WevXqq99iKxwrE1Xz11Ve0eMkSOh8ToyYJiXQ09Cj9/scf9OZ//8vV4vA+uqjPMezuYbpXMAxGq82OmQci1LGuUZYNLhF8WVUdqc1uWKpCbXZUKow+d46SU5K5JjMmonZ29jyDNxWkNrthkdrshgGWbllqs2MMwL2Hde4mTZrcsGG8PafuT7SiRovsZ555ll3hSAdD9bbTZ86wCx6127FUu0QJ6aaNmyhejdWN/f1pzOjR1Lt3b/47yEY5dvw4TwTwnLCws7Rly1Zu6IL66T4+PuwG79WrV5kzVcwtzDljC93dIqOiOK0O9+Lhw4c5oA8127dv207Hjx3jNfzRY0ZzZHyzZs3KvDZfFowm5gCuhpzsbA5sQws5BCGgSD3W0m/eENQACwizpqqMiLlhudNizv3r1cCN69RKWeQBjQPI3Lz0dJiqioi5YRExNwwIWIMVHBAQwPdUafcVrFUIW8OG5v/YFi9eTBERkYR8c4j7vffey8cjYwpWOCq6XbhwnjubofEKUtvS1QQdwowSqvD4YqIAUPEtKTmJ3fDR0ef4OYcPH+H1bhwzatRIGjp0CBuYZUVvuGLd/PLlLDVJKOzTcOLECToWeozC1OdH2h2atfRWk4QnnnicWga1JGsrw6amGU3MERmYoU70rt27adasWfyFIFoRQXBoEXfzBkGHWxMNKqoyIuaG5U6IuT6FJDEpicIjIui6+tnT04uLwJiSNV4cEXPDImJePmCJI/cbG/K64XY+deo0tWrVUp3P8i1Zoe008Pb2Zn3o0aMH/46qbW5u7mRW34xjXeqb1Vcif5cSVlvyU/fyaCXiaHRS3GWOlNJGSrTRSS1XTTTwOxquwDPct08fun/SfdSmTVueLNwO8BSgUh06q6HoDEq5wtOM18YkAe8d7U9feP556tqlq5qkGL7QlNH6mWNw2bV7F8+i0lILQ/BvdYJ8fX24Iw22qoz0Mzcsld3PHJc7CjxkZmbQ4iVLaUC/ftwgxZDurjuB9DM3LNLP/N/BvYSteLAXKrFhgozKbHA947H8gnx6YPIDuiMMz9WrBWwUoF5JkrKAzeqZKeHszIXL8B2WBPTp3LlobpOK99dMfc8tAgMNJrJnz4axOx+eCSsl6phkG9tQNZqYh4aG0s+//MK1bAECEdzV7AeuiJLAzAW5gVhLqMqImBuWyhZzBLngRouJOU8TJvzdTcnUETE3LCLm/86lzEzuB34u5hynfoGmTQvXuWE1AxRd2r9/H5fyFoyL0cR8165d3DwFdXadnJ1ozh+/c04gXKolgf0QekNX1oLbB+7Hg4cO8u+2NjYceODu7sG/60HzjA0bN3IvW6zfI6K5r7Laxowexes2eq+CiLlhqUwxR41mfLeYfTdv3qJaVXETMTcsIuY3gmUpNBbCGnNGRibvs1D3j6ubK1vA6AwGsH6MTT9eiphXHkZLTYPb0tLSitdIEB2MaEYk9uubxt+8IQ/QGIMrZo4fffQRffThx7z98MOPdOLESd2jhSAA6vU33qBPP/1MTT5WcNECFOyf8fkMeueddyk6OoovZsE0QToIJnMpKal8LaJ5Q3USckEwBimpKRyRvX37dtq7dy9Hi7s4u1C7du14CwwKIg8PD7KysmZDDBvG/dtdbxYMg9HOOkrydezYnho0bMDRfYjmg5VcmaAQAFIXUJsXbn9sCLTD+9GDNZ15c+fxMcdPHOc1ILx3WIuIRly4EH1sd3IEpGBa4LtFVCusf/XFsofIxcWVI08FQfgbxJEgojss7EzRWInSo+h+iRxw/QbDCxNibDDA4E4X8a4aGO1bwBfduUsXNYNrSxfOX6BFixbRn3/+qcRxYYkb8vwQzm8oYElDnFeuXMlCjKIDN4Nj4AaaPXs2X8hIZRgydAhNmfIg3XPPODULdWa3LFzq0VHRumcJpgCscQTFoKd+VnY2x2R4uHsYJYpUEEwNTHQRP3Je3R9Iz0TgGpqRoOQoKqdhg5WNwOTAwEBemvTy8ibzUmKehDuP0cQc7nXkjHfv3oNnfR9//AlNnfowTZx4b4nbs88+S+vWrdM9u+KkpqbQ7l27adu2bUVRjTenRcBTgJkoUifw86BBA+npaU/T888/Ty+99JJ67904PWXP7j3sYioetSlUXfBdwisTHn6WB6fgrsHk6NjIZNPOBKGiYOxCMxOINAwY5GdHR0VxBPjJU6co+lw0W9itWrWibt268QbxLq2XuFD1MJqYX758iQ4cOECffvqpbk/lggb1yF9v1MiJnnziCapTwkCOZjDbd+zU/UbUvFlzts4B3Ox9+/ejOnVqc4EBtMHMVscLVZ8oNUiFhBzhSVy3bt3LXMlJEKorOTnZvGyIGhmrVq2irVu3kr2jAw0ePJgGDRxIvXv15mC/evVMO0WzJmM0MUeZvFUrV1HelcJ1ctTHRdpCUFBgiRsS++GaNwS4aNGJDVWD+vbtQw899JDukRvJu3KFws+e5Z+ROmdrZ8dBHADR9W6ursqaLzxFKP8Xq6v9K1RNUGN5/Yb17DYMDu7G3ZUEoSaCyHNMaOfNm8d1wnfu3MkFcFDdDLU/UBXNW1nest5dfTDaN4n1aC4qf9dd6qLxot9++43XxufPn1/i9tlnn1H//oZJq/n111+VoB/novwPPDC51AsW7zEjM4N/rq2OwXstjZycXN6Eqgm6Em3avIUc7B24mQJSC8tTbUoQTA0E7WIie+jQQdq6baua0G7gYigwTAYNGsSVzYKDg8nV1Y3q1i1cbtRvQvXBaGKO9m5cRk9dMLiomjZpwkEUTZs2LXFDKU1D1GVHsNrOnbvIUf19FNdv3ry57pF/gpsgX+c5+LcLG2tOsmZe9cCEDA1SUP/f08ODryNEq8v6uFCdQflSpN0eOHiQ9u3bxz0vUFIUgZ6og+7n50fOzi5cIhv3A9LHSoobEqoPRisak3X5spopHqZPPv2EAyx+/uknate+HReXN4ZrhwM81AU+ZepUzoscNnQo3XfffTyhSE9Pow4dOqob4Apf5M899yxNmDCekpOSuQDM8hUreY38999/o9GjR/Pr4WbZvn0bjRs3nn9+5JGH6bHHHuMJwAsvvEALFizg44SKgeY79eub/WtXpZK4oqyRtNQ0rv9ckF+gJotNqUGDmhmtjqAm9Evu2bOXbo9QESCO9erVrTJLNaglDs8gUnwhyAgqhuez4GoBXb92nRo2bMDpYkglq1Wr6kxkEYB6+MhhXpM3JRBng9rqpRU5q4oYTcwLu+Wc4TWbb2fOpPvvv597RDs7O5doNeEiRFEZbOUB/agT4uMpsGVLuqoudIhyp44dqbb6MrKzs+j1N97kG8DZyZmj1seNG8sFD76Y8QXNmv0r1albR4n57zRu7Fi+WfD+N2/eRPfeez+L+bPPPqPE/FHKysrmyPtZs37R/WWhIqDLkT4F5nbA94CWg+kZGew6bNG8ufredA/WQDBohh47Tt27Bev2CBUBnb4woPv5+er2VD5oVoIa4hjb4IHClpiINNvaLDJo4OHq4qw7umqC6PmQo6HUo3s33R7TAFH8jo4OJhUQaDQxR844hPzdd9/T7bk1GMyffvpp3soDZqko19m+fUdOTfo3Ro0aRa+++gq75V9//Q3e98svP9H48RPYSseNhNz4adOe5tf773/fpEcffZRLw0o5V8NRnnKunFJ49iznxXqpyZ8Eukk5V0NzJ8q5YijGOIb/sWE8Q0/u7OwcbibSrGlTatasuUkFrUk518rDdK4KIwDXFIra6EFK08WLcfwzBAPrsJgNQ2xQ+QhxAMKdZ8fOHVxHICgoSIRcqDbAit26dQutWr2ali5dyu7zLp270MgRI2jsmLHUokWgRJ8LpWI0yxx9v/fs3k1Lly3T7bk1yAkeMGCAsiz66fbcPhBeFEO4GZRv7dChA685wW323HPPETq0oT43ZsJe3l6UmXGJrbzRY0ZTcLdgdv+ipvulzEvUv38/evHFF6lPnz7SaMXA3K5lvnz5ciXgflzQAtXcZHArRCxzw1IZljlc6KdOnVQGRDwvAVpaWVGzJk3IwdGRH8dyJDZTDloTy7zyMJqYQySxjocyqWUBNw7yvNHVzNCgbCEC3+CuCghoTK+99hrnWgIEzr3x5hv080+/sGsd6ySI/kQJ0PMx58nC0pw+/eRTGjp0KOfBi5gblrKIub561foNG6l582bk6uLKEzER8r8RMTcsxhBzCDY8SmFnwzmuB55BjCmYlKKeBdbBEXSFv1tdEDGvPIw2GuKCRJECpJ15K8sXeb+WlhYlbgh+g4sJhQ6MAQZ9BLuhgQo8AMU7ZmHWe+/Ee2n8hPHk6elBSUnJ3FUN9eSdnZ3o6WnTqEePHtxkQKh8rl27ygPg/gMHyN3djTzc3TnVUYRcMAUwriEQGEt2KJ2KMsMwGLBsh7EIYo4qlfgfY0x1EnKhcjGaZQ4QEX727FnavXs3p4ddu1ZynjaiNbHBvT1s6DDdXsOBaPRvv/2W/0cEaPfu3Qtz4IuB9AnUcT996jRb6Ehx8vHxpgcffIDzNfU3mVjmhuVWljksGXh20AQCnpKuXbpwhLHkyv4TscwNS3ktc1yzGD8yMjLYo4RiLlfy8tkSh8vc1taGDQtkYNQExDKvPIwm5rCoUE71yy+/oh9//FG3t3QqGs1uKHATopqYhbkF2ZRQxEbE3LCUJuZ6IUdp1rz8POrerbvuEaEkRMwNy+2IOa7VbDXZRMwOSkSnpadzxz7st7a2oqCglkVlomsaIuaVh9F8lVws4PAhFnJYUlgP0rtG9b/rrSz971WhahfWy93dPUoUcqFywPwSxTFOnznN14YIuVDVwDUK8YZHMUVdq3v37qXNmzfTQTWhgiHTt29fLqXapUvXGivkQuViNDE/f/4C7d23nwW8SUAAvfnmG9S2XVs1263LJVaRt/3xJx+TYyMHcnF1oenPTKcJEyboni3UZNC6FK1p/f38OAtBEKoSCMbERHPJkiX0119/UeixUOrZswfdc889NGLECGrVqrXuSEGoPIwm5gj8iL94ka3vxx5/jCZPnkwjhg/nsp1YN+rcuRNNuv9+evn/Xqa6derShvUb6eDBg7pnCzURWDkolBEbG8t1/NEYQhDuNLDCIeB79+6hNWvW0I4dO6kgP587Mt59990cICt9v4U7jdHEHMEfWDOCm1Rf7N/P358D0AoKrnIwGvb16d2bo9nhkkfrUqFmgpxbiDiC3Zo2baauGXteehGEO0G+GqPi4i4SOpHt2rWLxyZkw6Bdc2BgIDc0wfiFVLKGDSVNUrjzGO0KRPoXKqbB2tqyZQu7ThEMYmdny40xQkOP8XHXrl/j/xEwgkIzBQX5/LtQc0DWQ2JiAiUlJbI1jvr9kqIj3AngGYJwR0VGsncRwZkQbRsbW74uEU8DUbe2tlECLp35hKqD0cQcQh4Y2EJZ5sTlCefOnUeastaRe56SnEKbNm3ikoVYd0IE+TX1GIQfVrtQc7hyJY+SU1K4sA8mgP7+/mLlCJUGPEL6rAlsCLxEFUl4DlEDo3Hjxrqywf5kZlafPY2CUBUx2qiJgisIXvLyQqnUTE5RQwU2lE4ldT9s376Dxo27h95//wO2yK0srbgfr7hWaw6oEoiBNDUlVVniZlx7WhCMDaLQkQsOyxseQXgNQ0JCeENMT5cuXahNm9Zc2AUCLgimgNHEnNtSqsF5xozPydmlsO0p9nXt0pUG9P9nLmy3bt2oc+fO4l6tQURHR7FrHdWvsA4pCMYGwWxIJduwYQOtWLGCoqIiue3y8OHDeUNMjxgUgili1ApwQB8IdyH2AvcSRx1iBDnt2LGD8zJBr169OCIUN1VVd7FK0RjDgGIxcGnCOvf19a3UVpPVESkaUzqIRI+KjubmSajE1qiRI3Xs2InXw/V1Lm52n9+JFqjVESkaU3kYXTkhzmZmZuTp4VnU5QqBJIMHD6Y333yTt2HDhnJQiayVVn8g3tFqYIWQo6QuLCFZhxSMwcGDB2jTpo1c0AUi3i24q5rs9KN27dpzBg28hRhz5PoTqgOVpp6Y5erFGrnnSFdDegc2pCGJe736Aw9NWmoqhYWFscVjb+8g37tgMLAODrf5vn37eGvYoCGhVa6vrx9HoTs4OHIzE8TmiOEgVDfkihYqBRTZSE5KopjzMWyNu7u786ROECpCXl4excTEUNjZs3T+/HkWdFxX2HCNYQkHQbgwHqpCuWhBMBYi5oLRQfRwirLIY+PiOPWwXbt2ukcE4fbBUk1aWhpnwaA+Aa4rFBxCsxNMFHF9YbO2sREBF2oMIuaCUUF85eXLlygqKooKrhZw1oIg3C4IpIWIwxJHvMXRoyFcmS0iIoKaNW1CvXr25FRYFxdX3TMEoWYhYi4YFfRz3rZ9O9Vv0ICCuwbr9grC7YFYi61bttCiRYvozJkz1KplKxo7diz16dOXY27EAhdqOgYVcxRfOHXqJF28GMctUFNSkvl3rJXC1SrUHPTNKZYuW04BjQOoebNmukcEoWygMuSWLZu5SuSJkyeoVevWNHr0aOrerRvZ2tnpjhIEARhUzN/679v09NPP0O+//8Ed0FCU4amnptHqNWu4/rZQc0Bp3jVr11GrVi3J09ODc3oF4d9A3wZUYkM/h1OnTnEZVVRkCwpqyZHoSCmrZ2Ym0eiCcBMGLRoT2CKQzl+4QK1atqTAoCBKUzfm8uUraOzYMdS/f3/OMy8NdB9CHWQ/Pz/dnqqJFI35d1Am89TpU5R3JY8DkfC9l5bLi+IxEPqAgCa6PUJ5MNWiMVgLx1JMTMx5ys3NUSJdmyuwQaxxXbi5uRJK/VY2UjTGMEjRmMrDoGLetWtXrrJUSw3cNrY2vA/NC5BL7uTkrG7S0te1kEYCF9qoUaN0e6omIua3Bh6YuItxHPDWpVNnslCTtFtZUSLmhsHUxBwNTjIvZVLW5Sy6du0qR6Kj6Y6tjQ25urlxLvidRMTcMIiYVx4G9VW1bdeWXWHZakDHTBvb9euaGtijuQrTzp27St3279/P6SWGAMVJ0MADlcYQLIMiJSghiwEElkBJ4KJDnurZs2cpPDy86Hih7OTn5XGqEIKVWrZsSVbW1uIOFW4AsTToSpaYlEjnos9ReEQEJSWnUPPmzdmd3rRZszsu5IJgihh0pJ321FPqhuzMgq53lQH8j99vtdWu/ffxFQGOhgQlKAsXLaQXX3yRJk6cSJMmTaLPP/+cws6GUe6VXN2Rf4PgvG3bttHbb79NDz74ID3yyCP02WefUUREuATulRGcd0zGEhMSydLCklycXXSPCDUdXBuYRONe2rt3Dzc5iQiPIDdXVxo0cCB1Cw6W7mSCUEGM1mgF1u28efPoo48+ptdee5WeUkKPJv/G5oCy8J948kk6ceLkP4TY3LwhffrpJzRixEjutw4wyDz22GO0dOkyjp7VgzXeemb16K8/F1C3bt3JWlmZQNzsJXPuXDR7M2xt7djKKiviZjcMVdXNjviJSGV9nzx1iu+poUOHcHwM1sarMuJmNwziZq88jOYDdXBwoD59+9Abb75OPXv2qLRo5rfffofdd3fVuotFZeLECTR6dOE6fG7uFY60h8sfYJ1u3769SsiXcmETFxcXCg7uqsQ7WL1fM8rPy6d33n2X3e9C6cCtfu4cyrQ2qvIBjELlcOTIYZ7wHjhwgOoqURw2bBhvpiDkgmCKGE3McdMGBQbRhPETlNUVQCdPnuSCDzNnzqQvv/qSfvnlFxZRrJ0hjamiYJ08/OxZOnzkCGUpkQ4ODqbHn3icnn/+eXrmmWeUNT6CZ9qw2M+dO0f5+XlsiS9auEj9n8lNPx5+eCq99dZb9NJLL9Gjjz7C7sFTJ09TaGgopaam6P6SoAfnB+dxj5ocoRMeApfQIU+oeVy9WkCJiYlclQ0bMhhw3zdr1ow8PDzYs1XY4ESEXBCMgdHEHOvgFhbmnBe68K+F9K0S8e9/+EGJ+CyaPWs2/fzzz/T999/TJ598yjP4pKQk3TPLByYEiKJGgA3c661btaI+vXtRmzZtqG3btryWj+YLcPvBIscxOHbDxo38/GbNmnJfdXgReqvnjRw5Uol/XWXN53Lea3x8Ah8n/A3Kax4+fISXT9DC1sLcXPeIUFPAhDgyMpKDTJOTk3gSjw0xE56ennxdSECbIBgfo4k5rLaUFOSZL2PBnjdnLm3buo1Onz6tbv4oOnIkhDZv3kJfzPiCvvvuO45mh7iWFwTPYdBAb/S7776bOnfuzNYiRBsu9LT0NPWerqsJhgVbDXh/SI3BewGNlRWBzkqwHBo2NOfWidZW1rzOh4EK0fHC32CSg4C3i/HxarLURg3gFrpHhOoO7ilMvrH8FJ8Qz5Uece/CK9NKTaKxSZMTQahcjCbmaIiAUq7vvPsedzVCbW6sSbdo3pwH/8aN/VlsccPDMl++YgWnkZUXDCRt27ajv/76i5YuXcI56wjtgxDv2bOHFi9czJZkYGAL8vHxUQPSdR6Q4J4HmAhgbU8P3hei8iHmFy/GV2iiUd2AFwTnDhW6enbvTg0aoCiM0S4loQqAyS/uabQYRWrZyZMnaN/+fZSTnU1NmjShLl26qns6QHe0IAiVjdFGYBSLQf44UpXAyJEjaN7cObRt21bavn07W+K///4rOTiiSUId2qHbZyiSkhLp008/pZbckOEeioyKIgtlPb7wwgvUv18/ziHPSPs7eh3r6bVLSY3LzMiQnPNiJOpaT/r5+arvz5EnPEL1BtXZkHmwfPlyXhPH0tU94+6hdu3ak42Nre4oQRDuFEZLTYM1/NVXX9GSJUvJ38+PVq1eRV5eXuwOx+CPP4u0sD+VJf3GG2/QhfMX6Omnp9EHH/xPCWvFg6jg+pszZy678eEZAPi7mFRMmzaNI93XrllLD02dyo+9/MrL9MDkyVxSFiDNauCAgXQ2PJw83N3pgw8/oHvuuYeOHDlCzzwznb799ls+rqbBxXXURA2u1pZBQfx9VoQzYWepvpkZeXt76fYI5eHS5csc3Nm1S2fdnoqDezT6XAyFnTnD2Si+vr5cXlXdSXSrao7VgbCz4VSvbl3y8fHW7RHKw+WsLDUJPE7BXbvo9pgG5ubm6lp3U9d9A92eqo/RxHznzp1cqGWNEsyePborK/x3cnb5ZyER5CBOmTKVK689/vjj9L/33+PKYRUFvbNTklM4cj0iMoLef+99io4+x+70559/jsaNHcs54xMm3svH30rMsSTw3nvvcalZPAfFaGCh1DQQuY5sASxpIP/W/Ba19svK8ePHWSj0510oHwhEQzoYWoJWFMSHoGBSSmoqeXl6UqNGTvwdYasp2QonTpxgbx0i8oXyc+lSJjfd6tu3n26PaYBlVnz/hihkVmlAzI3Bvn37tEmTJml169bV1ECtnTp1SisoKNA9+jezZs3SfHx8NWWNay+88IJ25coV3SO3x9WrV7XklGTtwoXz2vnz57WsrKyi/YmJidrbb7+lWVvbaLVr19GmPvywtnffXm3z5k38OzYl0Nrp06f5OeDChQuav7+/ev/1tN69e2vr16/n/SEhIdqAAQP455rG7j27tQMH9msJCfG6PRUnNPSoFhZ2RvebUF7S09O0jRs36H67fdRETTsTFqYdOHhQO3LkiHZa3a9nzpzRUtQ9hXuopnHsWKj6/H+PB0L5UJNMNXau0/0mGBOjTTsQPAZrC7XZ4ZZdsGABbdy4kYPiUDMdM9+1a9fSokWLuXqVk1MjDogr78wfa9pw7X///Q/0448/cHAW3PiYYSF1qmPHjpxqBrIuX6YrublcrQzvE8THxxe1aYULGelr6craUeeIm8DoK8DVRHAO4DnJzcnlIEYHB0fdI4Ipg+sc9wK+W6SXIZhNfdmcYuihLHIEtqH+gkSlC0LVx2hi7uzsxEEyLi7OdLXgKn319Vf0xZdf0q+//sbC/uuvv9KHH33IdZpzlEigVWaLFi10z759EGl7Uk0QPv30M/pEbRs3beQiFoi8zsnNYRf71avXeN0c6yGWVlbscm/Ttg0/H+KPQS0hIYFTrpBbnpGewccjbc3ewYGPq2lgwEckP4r+YHCHy1UGd9MGWR2ZmRkcJIpJbExMDCUkJqlJqxvfs7jecY8IgmA6GE3MLSwsKTAwkMbdM47zunOyc2nL5i30+ecz6I033qQvvviSdu/aw8VlnJwb0ZChQ6hzBYJ3UJwGVd9g2V9Tor1xw0Zat24tF5KBFwAFamB56ytTNfZvzNY2KsNhXQRBGqglj9S2JUsW04wZM/h1EQHfqUMHbgpR04BFnqvOGYTc39+PHB0deR1JME0wsYWQQ8SPHTtGBw4cpNS0VOrfvz/16tmTy/HKRE0QTBOjBcDpQR7373/8Tl9//Q1FRkRysZHiDBo4gJ597lnqoATT2rrijVjGjB5N27bv4KjrkkAHtccee5SLysANn5OTTYFBLTmFTp9zXhw0iUEXNbjaQU1qtILv6uLFi3Q0NJTPqzGQRiuGoSyNVrZu3ULJySnUqJEjT2hdXd10jwg3I41WDIM0Wqk8jC7meHlYxCg2gWpRGenp7BJHaVVnZxe29lD+0VCRg3FxsfTVV1/TipUrKSoqiq10WBs+3t704JQHuUwrUmz0FiYE/dDhQ5zChjaoSUnJfLyjowPdd999XKfd1ta2yGKpSWIeFR3FFfv69O7Dng9jIGJuGEoTc7jRDx0+TNnZWRTcpStXZoP3qrDtsFjhpSFibhhEzCsPo4t5cfLy86ggv4AFtFatu3gQr1OnMCjNUGCNFwF2GMQuxl/kdW8ba2u2Qry8vcjJyekfQXZYU4fXAGvlSMtBDRQ3N3duEAHhLz7JqCliHhERwc1lnJycyVtNhIyFiLlhKC7mcKVjEpaWlsbLSpgw161Xlxo5NmKBkiI//46IuWGoyWKOJaxsZcSibgqCsDHOGZNKFfPKBh4BrPk2UAMaBrV/A272wkpvGllaltwcoiaIOUq1ooIfov8xmOm9GMZAxNwwpKam0s6dO9TEy0ddvRrdpf7B8ra2tmIPmDG/w+qIiLlhuF0xT05OZkMCy3slAUMMS56tW7fW7SlsZY0gzqMhIVwbAcAIa9WqJRtxN3ugrl27yi2b0WM/Vo1ziCWxtbOl4K5d+fibRRcFyPbs2cvvCR5K1B3p0KEje5eLAyMVfUD27z9ABw8dZC8v9AdeMLQE9/f35xbbuEeN4RWr1mJuDKq7mGNCcyw0lGrXqc2eCaQmGRMR84qB7wvZBiiOBMscQad11CDj6+tDdrZ24kovJyLmhuF2xfzggQNcFRTZRCWBoOXevXvT008/zb/DYDukhHPlylVcZhgZTACtd/v27Uv9+vXjfhzFW+/iPkEW1Y6dOykqMpLFHGWpBw8axI26mjdvwdkckMY8ZdzN/nU2HT92nHLVz/DSQpgHDx5EvXr11r1iYXApDKDt27bR8hUrafuObZSVlU3Xr13nx/F6mAQMUn9j4sSJPNkw9NJl7bfQwFsoM0hd27RpEwfSVUcw+0xUlnmjRo24nKGxwc2HmauxJw3VDcSdwCJB34ALsRcoLOwspaWl0vjxE8hdfW/mDc0NEoNSU0HEPyZCGLiF8oPrFHFMfn7+uj235sD+/fTHH3+wdQtr++YtNTWNSwpDFAGWk376+Wfe4i/G8xISAnfRYAtZTDBKWrVsWZRqiUqJyFT64485nI6cl5fPKcsxylLfu28vGxZYVsRyLJZsY86fVxOH6dSyVSv1NwdyjQ1MNLZt307j7xlfdI9h3Fy+bBl98MGHPFnA8rGDGtPQiROtwPE30GUQEw50mPTz9yNLC0uDTrblbhduAIV90FUOM0eh6gJLfMPGDbT/4AFu6ztkyGBuPSoIpky6suTj4kp2sYObwz0WLlzIaciwgG1sbbj3Ru8+vXh5CQK7ffsO2rR5i+5oonXr19FOJagwyiC0Xbp05uc0bNiAg6UXLVxEmzZu4mMxEdmxc4eaiPjR/fffT3ffPZwmjB/PgdE7tu9Ulvdldq2DNWvW0MzvvivqA9KuXVt69dVX6MsvZ3BGVP/+/ThuBXz51Vd0+PBhTps2JCLmAoMLd9HixdxRzlnNSoWqB9zpB5V4z507lweSwYMG08gRI8UVLFQLELiZnpbG8R9u7m7Kmi34x4bA5i+++IKPj4qKZCs5NjaOgoKC6Ouvv6KffvqJFi9aTFMfnsoBz2Gnz9C6NWv5eLBg/gJeJ/fwcKdHH32Eq5DiOQsWzCdPT0+6qF4/NDT0hnbcsObhRgdoaISJgFl9M16GgScAXUDXrVtPERGRnPn05JNPsPcWvUaGDbtb/Z3HaObMmfT7b7/ya+Tn5dPCvxbSjM8La5kYijsi5nCtrly5kj788ENasnSJmkHFlZjjLVQOcEtduHCenBwdudJd8b7uwp1H7547fPgQVy0cOrRwXa8sQZ2CYCqgtTKCb+HqRqdKgIY/MedjOLX5Zg4eOkxJycn8M1KJuwUH888AAXIoPQ3xxfNhpWMCDJG+fDmL/Pz9qUVgoO5oouDgbmRtY81uc5Qfh4se72PI4MG8Vv7Fl1/Qp599SjPUROLPP/+ksWPGkJlZfRbzI8rKjoyIYJe5q6sLPffcs//IGMFaP4LmAgIa83HwrKEYlyGpVDHHzAp9yz/66CO1fcyd1D795FN6/vkXaM2a1ZSenq47UqgssC6UkZnB3eGaNW/OF7CkLlUNcLPv27dP3RdpvIaHIEFE2yLNBcEzsiYuVCeSkpM4NRiBZ+iLgWJdL7zwIj0z/VmlEc/TrFmzlGX+twsegnj50mW+D7AmjgqGeuBdtLSw4PHtMgQ95hy32UZQGvbZqnvIQdeXA6DWCSbHWGNHShmC2SC6iB16+T//4b4h0VHR3MsguFs3euyxx4ruP5QBj1OTBUwGUJIcFv7NYyheC6/x2Wef0W/KQn/nnXc4kNqQVOpogACGtevW0YrlK/hkYV0WqWCILJw/fwH3ChcqF+SSI7++kbLKEewjAnFngQWC1ByUW0UKDSZXCA5EOg4CEjHoCEJ1BNUJ4WKHlxbu9Llz53EL7VWrVtFff/5Fv/zyC/0xZw4HJ4IUZcVDP2rVrsVpYsVTxWA1I7AW5OcXUGJiElv9EHKAY29O10TaG0Q3S1nuEHRQu3Yduvvuu2nE8BEcHY+I99GjRxfFp8D9npySyhMGK0sr1jQ8pyTw+oOVpT9hwgT2rg0YMED3iGGo1JE7VA1QiPS7qgapgQMH0PRnptOUKVO4MMnu3btp//79RQEFgvFBWgcucvzfsmVL3V7hToAUHgxg6KOfkBBPCYkJ5OnhyWuBEHJjVeAThKoCYkKuXMljK9tcWcndlQWMCPK27dqSmZrUHjx4SFnns3mNGiCb46oS/lrKCr6VNxGawjVHruSy1V8aEP9ad9XitXt0iNRjrix89P2AiA8dNoyCirnnkbqGeCNMEjBBwDLYncKgYo4vAzMUnIySTtr5mPNcFMDHx5ceeOABGtB/AE2bNo2aN29GOdk57GKRtfPKAd9PnLLICwryyd/PT81Sy9d6Vig/+A5gWWBQioyM4HxZCHqL5i343rApVkZYEKo7sFy9vDyViAdzA6y5c+fQ8uXL6b333qOOnTqy1xDr6rN+mcXH43eIeFkKpeDYwuN1O24BXrOsHkoIuaYzQCHoN/ceqUwMKuZff/01fffdd3T0aAivj98M1vow68rNzWHLA1xRsyW0Y7ymXeP1CqFyQK3ueHVjYM6F0rVC5QMX3bZtW2nhooV8X6CwRq9evcjWzk53hCDUHCDgP/zwAy1TAv7NN99wIReI6oD+/Xnz9PRQ41YOHTx0iI+3s7dnix2W97VbeHTr1q1DtrY27Aa/S1ne/0b9+mbc078s4D00tDBn7YIhi3X8O4VBxbx161a0YcN6mnjvvTRp8mTO6StOxw4dKKBxALvbX3zxJXr0kUeob59+dPDgYfL29FKPNebZmWB8UP2okVOjG8oiCpVDbOwFWrN2DS1evJhaBrXk4hON5doXhFJBAKiLiyuXKi7QpYkhWh1Ba8gPL3R3oxR3IXqXPYDXEdUsvby8qI7OYEREe0bmjZ019U3AkH/uehsFs7w8PTnmKC09jdPasDZfEvBKN2nahIPqBg4YwDnrhsSgYt61a1f68MOPaNpT0zjo4O2336GHpz7M1XLgTkQxkhEjR3D/ZLjUV65aTSdOnuQTPVmJf7++/XSvJBgTeE5wIzg6OIobtxI5deokbd6ymVPNmjdtRr379GbrA0FuxctNCkJNA+ILq/zhhx+mV199lTtY6sFSINLLsJkpYfbTFbRC6WI7O1v+Gc9HFUQ9iDCHxtQzq6fuMXuuh460Ww93D44/QVwKgrD1IAUOwaew8tHLAC2Cy0qbNm3I19ePC9fExyfQN19//Y/YL1TVRCfP8zEXKC0tnbyVFiIWwJAYtJwrThJmUCi3x5G3FhbcwWz3nj08gKFmNIQb+X0tmjenJk0aU/9+/WnEiOFcb9dTPVbVxcWUy7niAkNqRXh4OE+sqkLt7upezhUDEUpLRkRGUO1atTjftFEjJ75P0L8f5/9WwTtlBZNl5NJiUBEqjpRzNQywdMtSzhXxI/BUrVixgrM50pSV3KxZU7qUeYmrsK1YsZJzv62trGns2LEcWY6lKTRAwb1VkJ/P3S9xf6FMK+q74397e3vq26cPR5Hj+0S65zmlScmpKdyMCKVWk1OSubzrvn376dr1a9RHTbKhSWXNHIF3AO51/D0E2iGIFfcjJhjnYmK4RC0i8pcsXsITCLxHFLXp1r07OTs5616l4hi8NjvWOLA2jhD9Jk0C1Ac15z7mEJDo6Cj+sCgI0L17N2rbth116xbMrl7cNFVdyIEpizluLFzM7EZyca0Sbt3qKuZYP8O1kqA+Xw6ibq9dVRNZT45PQJUofdqMoRAxNywi5oahrGKO+yEiMpJOnzlDEeERrBm4pkOOHqW1a9bS0ZCjHGPSsmUQN1mBsQgRvRAby4HVSHtGsRfUbt+jjMf9+/bR5azLvLSLVDCUZAW1a9fitM/o6HOcBgfhPXnyFK1ZvYZbBjdr3oxT0bp26VrmIDhEsCP4jfPTz1/gMQ0BrefVz6hQt2PHDt4wqTdXk4fRo0fR2DFjqWnTJgbVPKM0WkFEH2Yl+CLd3d2oc+fOHHF4LLQwNQ2zE7TXRNF6CAtC+g1hnVQGpirmyBLAxXvq9CnqFtztHzmWd4rqJuaITIeQ43PFqkEMpSDhhYLbDjN9Y01YRcwNi4i5YcB1ifHe37+xbk/pWCpRvFpwlb24ENadO3ex5Q3rFuMV0mdhMY8ZM0b3jMJiL9lZ2eqYc5SclMyiD3c7RNvPz1cJ8zAaOXJkkeGCNE+8PtqawvUNIUdHNARiO7u40Pjx4zkdzqlR2UtaQ/RdXV3JwdGBJ+8FnNeeyNXmsGHCgIkIljY7depEr73+GvmryY2hjSmDizlEAx9gy5bNtHr1av5C4OoYfvdwbkeHyELkCc6bN5/dHc1aNKeGDRrygA5Br+qibopiDhdWcnISfy/t27bjxhxV5TxXBzHH+eWIWjU7D1Pn+GhoqDq/xMFtKLuKfvrGPt8i5oZFxPz2wD2A6x/3QfGN0y6jorgl6b+Bc402oTAAMc5ibRkibu9gx3FWqHmOJifFQeCZp5cnu9zPKWsbadF4DizyJ554XFnBY1h/9KCgC6q0WVpZKkFP5UkDjndybqSOf4KteARp3y4QZlj/ffv24RgYeAlQ9Al/z0r9LSwZ4LU/+OB/6vN5sAFraAzez/yrr76i2bNn0/HjJ3R7CnnpPy/R1Ice4gbtsBB37dxJH338MRcCGDt2DD2kHoMFX9UrXJliP/PsrCye3cIlNWhg2foKVxbVoZ85Biz0gD915jTPvH28fXhwqUwyMtLZ69WvX3/dHqEiSD/zspOfl8cR3CdOnqDsnFz+vZbOA4WiLpgUQcgE42JQMQ85coSee/55DlTo0LEjd3VKVDNc9I+F9f3JJx9zuzkE/sCSQNWrjRs3cCeb8xdiWdSfe+45DhCoCPn5eXTq9GkKCTnK1j9cHF7e3jRyxHCys7NnS/BmTp86Rbt27y4M1FOPo6ct1jYsLCxvsKpMUcyPnzhOqWoWCqGpapXETFnMExMTKDIyklLU5NRfWcQenp7cTaluncpfNhIxNywi5jcCqxtGAa53WJ16INoN1Zhib2fHXcpuLj6F5dbQ0KM0SGmBYFwMKuYohP/Jp59yQflJk+6ngQMGcteaaU89xc3mn3/+OXZPI6dWD2Z0UeoC2X/gAAc1oMyrpWX5S+JlZmRwigN61iIAAcVR8BEbKkupWdOm7KZBCp2joyMfj8cWLVpE8+bN4wsVRQlq1UKUoyU1a96U3n3nHXaL6Nc3TE3M0WAgNS2NgzSwTlPVMEUxhzsb9exxneC8mptbqAmoFV8zdwoRc8NSU8UccU6YpCJADNlH+inpXbVqUb26dfhaxzKdHkxaYfxgfCwpJgQG2/79+7ggkmBcDJpnnpOby7l2qKuLHGYEBbi7uSrFLHwc6wT6pH09SKDv3KULBzWgUTwG9oqAZvULlTgjTzHsbBglp6RwmsPpU6e5d+2s2bPoyJHDPNPE+j7ar3733fe0efMWFvNLlzIpPT2DvQurVq6i2bN/5QmHKQKPBNaeEKDh4uyi2yuUB1wvmCgePnyYB7sGDepzlyZc45iE3kkhF4TbQdOuK9EuDEw7eeoUZ7gcO368qI83BBjrzHa2tlyNEBsClRHX4uzizEFk+g3XPtIskcFkrOBOoWwYVMz9fH3UoGbOFjH6L69bt45WrVpN4RERbMHAdY2LoiQKLwx3Jfjli7LWB1tgvR7RjLDuURx/4sQJdM+4cbxWD/HesmUrHTh4kC0ZFAlAMB7SBvD8rsFdafyE8exeRyGAnJxcmjt3Luc9YlnA1MCSAWbUyCev7DXc6gJEHNcKzmWcmvjBbdigQUNOtUFFKRFxoaoCryPGLRRIwfXL6Vvq/9jYOO4BgIpnGAN5u3yZszBgmWOZEwVZELQGbya2JgEBPH7bWNvoXl2oahhUzDt26EhN1RePSFBYtM8++yy9+NJLajDMoK7K+kYUIdbLjQGsUJTJPBp6jHPZO3bsQC+9+CJ9r6xurNnfc884ZfU34G44iHrERY3+6QsW/MnPd3VzpaeefIo++/Qzeu/99+npp6exC+nChVhOXUA1IVMC6YEISIFFjv66wu0B6wWDHII1z52L4RxRDHYoboRrHDmuglBVgAhjogmrWr9h3E1JTuZqaPA0HlfWN6zwMPU7PHbwKiHqG7E0WHrs1q2bGjc7qvHCS/eqgilhUDFHubwXXniee7ViVhgZGaUuphTq0KE9/fe/b7KYGws0dkG1OX0IAKzsDkrQAda+YG3rXfhofJ+SmsaDNaxy0IkvYk9e+0G6Q48ePbgUIAg5GsIzWVMBXobQo0e57KGNTcWCCWsqsGhwbWzdto0ndYMGDVKDXmfdo4JQdYD3KCoqkuN4UGlMvyGFFrEdHZRg4/odNmwYV0Lr17cvde7chcfryg7UFIyHQcUctGnTln766Se+uC5ciFEiGEcbNmygwKAggyfJFwfu+YAmTejrb76i776fyU3krXRpbhA3zESvXy9sTI/uOXgvKDKQlZXN+1CPt7i1haAOHy9vXm+OCA+nVBOxzPFZc3KyOU0KgXsVCSasiWCCt3jJElq6dBm1atWSRo8aJb3ehSrDwQMHaKUS6j///JODdrEhgBeW+fDhw+nee+8t2lD2tFPnzrwsVNZqZoLpYvBvGDM9XDhYo0WAkCHrT98KiK+7mztX+xk9ajRHzNepU5fFDS1WZ3z+BVcKMlPWduMAf/Jwd6Ok5L8D2+rWq1uUG3kzyckpHOVuCsC9tmnzZs4nl3XysoMqTbDEd+7aSZ06FloyqKGO60qsF6GyORsWxkG8CNrVb7ivrWysqXOnTjRgwAC+RrHhZ0TdwwOJa/XmTagZGG26BkHHQFhZEY64aHEx29vZcyQm1sdRfB/F7z/99DNO28kvKKDBg4dQl85duGY8yu7pwfst7bJH4BwK8Fd1OHf/Uibn9CPCVKJL/53zaISgrB0Etzk42FOzps1YxE2tzLBgeqAJT1xsLC+J7d27l/bu28e9urEVXC0gVEJr0qQJb4jTaOzvzz0VcG2ivj/+1/+M+hFyrdZsDF4BrqqAgLUjR45wSdlly5ZTQmIC95BFpTlEuaN274b1G+j+SZP5+JdfeZkemDy5KAcelhry5M+Gh5Ovjw+9/7/3ORZg//799Pbbb9OCBQv4uKoESraioEMjB0cuYGIKICCnfn2UQqy8HHisMaL+QXJSEjdBKbh2lQdEdDAqnkNrSsAjg9a2PXv20u0RKgKMAHjrGpehpvi/gestK+syXc7Kovy8fN1eouvada6QhhKkV69eYzGurUvddeZ0L1s2UEwZBOUdPnKYevfqrdtT9amnJvGYHJlVME26sqmWYg4h3rlzJ68lbdmyhS3Ulq1a0Wuvvkrt27cjKytrXfDbdho+fCQ/56WXXqQpU6YU9bFF4Ajas6KuMNZO//vf/1KvXj1p167d9MEHH9CsWb/wcVUFpOXhc2dmXuKAQ1Ph9OkzHL/g6+uj22M8rqkBMzsnm6N8ESuBSHVE9KIBQsOGVasy3u3ClbaOHafu3YJ1e4SKcOZMGIu5vnd2WYEw417Up7KiTz08e9iHLBv8rAeeS2dneIHgSTRePNGdBBkgIUdDqUf3bro9VZ8G9RuQlbW1yU3sq52Y44b55ZdflNjOVkJxml2niOb8+OOPyMfHl28ggNny4cOHqEePXpzW9vjjj6ntcc6vBEhdC+7WjRLiYdH3pxdefJHTkqpiBTh8hfisqHYHS8JGWZmmQmVUgMP5wSCLgQV9h1Esw9vLi9q0bas7wvSRCnCG5d8qwCEWB2MIxg69exvXGSaI58/HUEJCIu+rpwv6RR0NLy9PslXWdk0CHiOpAFc5VLsQx99+/51mzPiCcyphZU+fPp3mz59HjRsHFAk5gLWOSG/9zBu5l7jwAGbPCJqLvxjPN6i3Oqa0YjdVAQgV8srvUlaAKQl5ZYFqVygOtGvXTraARo0aVa2EXKh8CmuOh9KSJUto1erVvC1bvpyioqO43efo0aN5GzZ0KG+tW7WqcUIuVC7VxjLHTBnrUi0CgzjlDA0v4Ba/e9gwqn9TcAha3DVt0oTXTVFQ5osvvqSG5g25BR6iwFENCWvif/61kI+fM/cPtX8QlyysipY5hAplcQsj+P/ZRKYqY0zLHA13UIkQnZyCggKpkWMjtrZM7RyVBbHMDYveMoc3Lzk5mY6EhHA3MAyXuH6srK3IzdWVvL1vXB5CIC0MBUkFK0Qs88qj2og51sDXrltHDz74IOVdyeMbCkFN9g5/97LVc9/EiXT//feToxLAsLAz1LdfP8rOyuEGMfb2dhyMkpiQwN2whg4dQu+++y4XvMFrVjUxj1aWAJYCPDw8yF1tpoYxxFxffjUxMYmaNAlQr9+AS1RicK6uEb8i5hUDxkBubg6Fh4erc5nJVdPq1q3DgZk26tqxU+MCUl1x/WCDoOO6lUqAt0bEvPKoNtNHFE04fuwYBzkBrGchoj3sTNg/tsSkJHal42ZEysfTTz+tblpfLn0YGnqMI6xhtbdt04YeffQRrgwHIa+KoFECp6dU4WWAygIDB6KQEbSIwCNPTw9ycnLmDnkIsquuQi7cPikpyXyfo3EOthBleaMHA2ozICASgWmY3KORCP5HUSn8j5RPeMFwz4mQC1WJamOZI7gJJQy3b0fTlFvnhCOQrW/fvnxTggsXztOihYvUzX2K87Qx6FtbWVOnTh3p3vvu5QpKeiGoKpY5JisoMXv6zGk16WjLufWmSEUtc1y++L5ROvjKlVzu3IcBGS5QRAnXFMQyLxlM8jE2IJocwWoAxaHy1LWCfQUFun21anFGg6+vH1+PJ0+euGUAnFA2xDKvPKplalp5QZ42AltghaM7UEnBZFVBzPGVIeBt67at3MAGqXZV1XPwb1REzOFdwfIK3KMotIGWjU2bNivqVV+TEDEvvB6QEoaAUD2oI5CalqrOT4Z6LI/3IcLcQ9e+szTruqb2Mzc0IuaVh0RpFAPlZ7FGhqCWqhwVDgsDfdfz8wvUYGRuskJeXjCZQUU+BCbt27eXduzYSf379aPg4G41UshrInwNXLt2w4a0MEwON27cWLSdPnOGA1dRKEpf/rRP794cLCpucqE6IZb5bVIVLHN9HfGJEyfq9pgu5bHMEfSHvHoEIXXp0pUsdQ11ajI1yTK/kptLFy9epCPqXsxTljgsbSyDYZ0bdRawrl1RxDI3DGKZVx5imZsYl7MucxUzH29v3Z6aAeacsXGxtG79Og5sbNmyFXXr1l2ayVRzEGUeGRnBTUYQE7NixQpOxYTrvFfPHtwpDB0SkVLarm07cnBw0D1TEGoWIuYmRlJiErdzRRR+TUDvPkV5XjSlaKIseCyFNGrkyG5SyeetPqAuQEREuLLk9rPnCduePbt5DRzNRlq1akVt2rShoJZBfA3Y2tqxVwZlN7GhnnZNW3ISBD0yEpoQWCNGZK6VlVWNqPSGzxsWFkYxMefUoG3B3cyQT4+0oHr1qmct65oCAtXgKkcqoX5DPXQEdmKShhoR2NBsBHEQyE7Ad4/N1dWNrwERbkH4GxFzEwKDHyxVb6/q7WJHJT+41OPjL1JGejrddVctLtrj4+NTLau3VXcQZa4v5KPfLsbFUVJSEqVnZFDmpUu8ZefkkIODIzUJCKCgoCDe0CsB+8QDIwi3Ru4QEwEWC3JmESyG6NzqBtbEEaWPPP8L5y9w3WuEZqLbHVyrYombBvgeYXXDg6Tf0tLSuMENgkf1G1r1WltbUccO7alL585FGwq26JuTCIJQdkTMTYSQkCO8Tqxv0VrduHbtKiWnJHPbWgz+3bt15zVSU+0vXlPBhOxoSAitXr2ag9XWrFlDx08c53K6CFbTb7169eK653Xrmna/bkGoKkhq2m1yJ1LTkFOOXOrmzZuT7232V67qIDUNlewQtUx31aIB/ftzmpG4VW+PO5Gahop7J06coLi4i+w5ukt9ZwhCCwxsQe5u7kVr2vg+9ZupIKlphkFS0yoPGTFNgC1bt/L6ISpWVSeQL3/kSAhX3QsMDOJqdhAAEfKqB4Q7MjKSI8wxkd28ZQvt2rWbLCwsqVOnTtRfTcL69e1L3bt3JzdXN2Vx1+XvUv99mpKQC4IpIqNmFQbBbsiprm9WnyN70SzE1NF3p9q5ayfFX7zIUepuyopzatSIXbHCnQepYAhOO3T4MG9IFYMFju/N1dWF/P39yc/Xl/93dXUlRwcH7g2AzdbGRpraCMIdQMS8CoOAt1OnT3HvdQS+mToIhkJnqoiISLbckF6HgCcHB3sJerpDYJUtJyeHO82Fq+8GrT9hgSclJRLkuG6dOrp2nw24IIunpxf5+fmRt7c3b0iTrC0ZBoJwxxExr6IgnSczM4Mtcy81aGL9zlTBempKagq71bEhHalzp85s2UmAW+VSmCaWwZY3NhQgSoiP57gFbPh+UtV3BQEPCgrkIMR27dpxihjagJrydSgI1RkR8ypKphpwkY/bvn173R7TA1YfvAtxcbHcMzohMYE6duxAPbp31x0hGBOcf0SX4zvQb2mpqVygZf+BA7R33z7ap7a4i3HUqWNH/l7QHhhlctF9TtIBBcF0EDGvolzOyqJYZSV5enia5PojhARR+IuXLGZrr03r1tSrZy8yNxdLvLJAv+4zZ87QipUrOeUP29HQo+Tr60N3DxtGI4YPp1GjRlH37j142UMQBNNFUtNuk8pITYuKiqL09DRek7S3N73GEcgT37N3L2nXrysrrxs3Q4HbtqQo9Yr0Mxf+BssxaPlpaWXFv18tKODz6u7uzssZ+tsc3wGEWzIGbo2kphkGSU2rPOSOrmJgTfPy5UuUl5dvcpXeIOKw/I4dO0aNlYB07NiRA6QwKIp4GBase584cZz2qkkTuojhf9Syb9UyiNq3a0edO3fmtW5MCCHqyP/Ghkhz+S4Eofohd3UVIzo6mq5du64sKjeqXds0ooQxAYE7FyU7sSAAaxANMdBXWpphVByujpecxJkNoWqidOTIEW4+A2+HvYM9OTs784bUMGQH4LzjdzQokQBDQagZVHsx53rfmRm8cZWxUkBwEKJ5kZYDN3diYoLukcoDoogIY1iy6AxV1UEePKxBnC9YikhjQsEQuHXR+Uq4feAOz8u7wtcizmtsbKza4tiNnpuTQ/m6QDa4ypHj7e/nx+1BGzf2VyLeSAl8XcnxFoQaSLUWc4gNxHHz5i20e9duFsuSgBAdPnSIVixfQXPnzaMFCxZwbWm030QBjcoKK4D1ZW7ekN3rVbk7mKZd52YaEPJz0dHsTUBQVfMWLchBWYPC7YE8b1yDWKZA7/bExCR1TqP4+sO5RTYARLp58xbUoUMH6tKlC/9sZWVNtWqJ50MQhGoeAIcBcpUS5akPTeU13K3btrLrsTiw1hcuWkSvvfYap4Jdv1ZovWNtsWXLIJo7Zw65e3gU5dcaMwBu+fLlvM4JN3VVBZcLhPzcuWgKUeeibZs2HLxW3nXYmhgAh3Oov+1gRYeEhPC1h3x8nEdrNZlr06oVOTk78zFl4U7UZq/OSACcYZAAuMqj2lrmcEv+9ttv9Obrb+j2/BNY3VHKAnrooYco5lxMkZADuDIPHjxETz31FLvejQkG9sSEBLK3s1PCVrVze9GadOOmjZSenkH3TryX85EloKrswH2+c+cOmj9/Ps1fsIAWL1lC5hbmNGDgAJo4cSKNHz+eBg0ceFtCLgiCUO1G4Y8++oimTp1KI0aMoI8//pjilUiWBlyav//2O+Xn5bOIvvzy/9GOHdtp1aqVNHnyZD5mz959dObMaW4GYiywHIACHk2bNSNbWzvd3qoDJhuxcbG0Zu0a/rlzx07cY1y4NZgsxsdfVOK9U11Tq3g7fz6GvL19aNiwYZzrPXDAAPJRv1eHcr2CINw5qp2YL1GWDlzgR4+G8tpjaevkALXCN27axALVunVrzomGmxtrkuPGjeUgIxTeQGcvWFTGQD/gI+oY+dhVKfobSxBw3+7evZviYmOpsX9jJTzeZGdvz2lOwo3k5+fR6dOn6ODBg7Rnzx52eycmJnJwWsuWLbnzna+vHzXSNZVB2p6lpWVh6t5d4t0QBKH8VLsRJDg4mK2e+++/j8XZrBS3NaxhWNsIMgJNmzbl6GCslVtZWarfm5CdnR2vaZ46eYoD6YwBgp/Q3AIRyVWpChfWurC8gMYoEG5Hx0bk5eXFzVGqcnBeZYJzhIjzEydP0ukzZ/hnXFcNGjZgkYZg29khdcyFPD09+fwhZkOscEEQDE21E/Pp05+m//u//7DLfMiQQdSwFAsSVlR6ejpdyix0n8Pa1LcYvUtZSahLjXaOEPMLFy7wwG1oYJWj5GlWVhbnZVcFkUQqH6xJRFAjWh2/o+GGr69vURBgTQQinZWdpUsVi6WLFy9yk5KUlGSud45rCRMztHNt2qQpW+EtWrRgERcEQTA21U7MsR7p4+PLG6zJOqVYu4gcRncoPbcqcZmpBBcR3IYG0faw+GGV32mw1IB+1QgcRIQ53pu/vx917tyFJzY1DSwx4DvHMgsmW5jMQcTRMAYbIvlz1DXk37gx9ejRg7p26UJt27bjvvPiuRAEobKpsQt1qLKWn1f6enpxrhZcvWXBmfKSlp7GAXqICL/TILYAZUG3bt1KgYFB1LVrMDVq5KR7tOaBeIpDhw7S2rVrOWVw27ZtlH05iwMrsQ0dMoSbx9hVwYBFQRBqHtU6z3z27Nn06muvUVpq2j/yzFGgY8OGDXT//ZP495dfeZkemDyZGitLC6DT18ABA+lseLiy8n3of++/T2PGjuFSmtOnT6eZM7/l48oLrLz0jExeV/X0uHN55XAN47OGhZ1VlmUbcnBwYC9FZVURO6P+LpY3fLy9dHvuDPBIxMScp5TUVP78eE8B6lpA/IQ+KBGem6qahnfp0mVeu+/apbNuj1ARws6G83Xg6+Ot2yOUh8tqAnzs+HEK7tpFt8c0QDCym5sb1a9vOoG+NVbM4T5FytCwYXfz7y+88AI99NCUIpd3cTHv0KE9vf766zR48GAuGvPiiy+ytVYRDh85zNZw2zZt79ha9JmwMM5vt7S04OUJBG3VrQsXceWVAz2ubnQEhOknUZUBl/jNyKBjJ06o7yAfawxka2dHzk7OfA4wkblLiTbiLepAyCtpYlMRsCyCiWafPn10e4SKcEJdG7gvAwICdHuE8oCYIGR39O3bT7fHNMAEnrNMTKiGRo0V82tqQD8SEkKDhwyhjPQMmjx5Ek1/5hlq3aoVu9RR4axr126ciz5ixHB69tlnOTreEBXgUO0LngGUbUVXq8oGn+lczDnSrmtkaWFBdvZ2HF9wJ6isCnAXLpxXnzuNgw6hzXXr1CUrdf6vX7vG8QJIDcT3Yaopd1IBzrBIBTjDIBXgKo8au2Zeu04dHrwDW7Tg30+ePEmxasBHYBysnKOhoZSRmcEDffPmzTk32FDEnI8hMzVQoLNVZQIhQxocCsAgDqCRmth4qcnEnRJyY4HPmZySzJ8VW0xMDGctICIdVje60aHqmq+PDzeFgVcA3cYkd14QBFOlxoo5QNGOQYMGsSsFYr5p02a1baR169bRwr8WsuDZ2tqwmx2DvSGABYXXNVPWaGXlG8Odj4j8wk5ckfz3kW7m6eVVLXKe4UlJT0/jde+k5GRKTErkzwoRx4afMXFDqhgalbRt21YJuLhPBUGoPtRoMUca0T3j7yEbJdgFSuC++eZbGjVqDE2e/AAtXLiI1016dO9OTQKa8FqqIcD6kZenp8EmB/8G1oeRgoc1wCMhR6hr167Url1batjQXHeE6XFdu86fCxY4auhnZ2fxejFK4iIO4mzYWbK0sKT+/fvz1rlzZ3Jzd68WExdBEISSqNFijjUx1MWeOXOmslI9qVbtv08HIlmxzv7ZZ5+Rj6+vbm/FSUhMpIbm5pXm0kVZ0f37D5CVpRWNGjmK22ZWZoCbMUAxm917dqsJ10JaunQpl5tFGd4hgwfTmNGjqW/fvpyBIAiCUFOo1gFwiEgPDz/LFlzDhg2pY8dOJUaOY50cfaMRYY7qZ0hLclWWc7fg7mTvYM8Wuj5Vq7wBcLAg9+7dQ56eXlw21phWIr7SyMgIOq6scZSpdXcrtEoxQalq/FsA3LVrVzlY8MSJk1ykpUB9l05OjcjDw5PL7QIsk5ha5KmhkQA4wyIBcIZBAuAqj2ot5lgrzsu7QtevazzQI3ewtPxpCD4uvCvq+Nq1arPA6MWiOOUVc+Rzo2vWkCFDeGJhDOG5fv0atyZFupeFhTk5ODhy9D7+XmXljd8uJYl5UnISRUdF8zlDqhy+N3wXZmb1eX0cx2OfvvyuIGJuaETMDYOIeeVRrU0ZWKIWFpYc6IbUo1sJGm5cCJ+HuwdbziUJeXlBTjvS0VAeFe51Ywg58jkjItAYJZxjAVxdXMnd3f2WE5iqQMHVqxy0hjazmISEhIRQQnwCf19OTk4caY8NzUoQ/a//bkTIBUEQ/qbm+iUrEdT2jok5x2VbDS3kSLfCcsKF2Fi2zpBy16xZM3J1c6uSNcJhWaNhyblz53i7eDGe6wDgHMGNDmu8gbK80dgFKYEo4oNJiYi3IAhC6YiYGxm477EmX6tWbYO6u7E6gtdFOtZpZdWiohk6dLVv177EuIA7yZUrudxuFvn7WP+OVwKOVMDC3P4LVL++GbVoEUidOnbkFraNAwIk51sQBOE2EDE3MqjBnpAQT507d9LtMQxIzQoLO8MNQFBDHMF9cEVXRdAzfuvWLbR69Wpu5JKqJiBDhw7lLTi4K1fBE/EWBEEoPyLmRgZtNHNzr5ClpZVuT8W4erWAXfZLlizh38eMGcMR8lXFpY4+8SidunbtGpo7dy5vderU5cCs++67j8aNG0edu5hW0wVBEISqjoi5EUFqGMQc1dYMQXJyEkcsR0RGUu/evTjtTN/R606COvZbtmyhdevX065duzm9D5XW9Na3v19h4J8gCIJgHETMjUjW5cv8v42NLf9fEZASh1x4ROc3a9qM7O0dCO357kSkOsQaUef7Dxzggi0IWoOrHIF36DKFDmy2tnZcQhUbStfW5BxwQRAEYyMjrJHAWjmsUfQHL68LHJHqKMV67NgxLp5iY21D7m5unJ5VWRY5os+zs7J43fvUqVN0+swZrsCGSQRahCL1zd7enjw8PLhMLSLP8ZmrgsdAEAShpiBibiQiIiLIysqy3J3REKnOKWcXLlBCYgJbu/6N/cnGtuJW/r+hj5K/ePEiNymJuxhX1MQkRW36UrdBQUHUunVrcnJyrpLV5QRBEGoKIuZGAOvkSElD4NftponBGsfzIaRHj4awC7t/v/5s/SK9zRjA+sbfxN/ClpCQwGljWJ9HIRcIOlLGevXsSd3ReKZJEzK3sNA9WxAEQbjTiJgbgW3btnK6GPqF3y4pqSncRCQiMoJ69+5DXbsGG31dHCUXd+/eRWvWrqVly5ZRUlISBQYG0vDhw7lFbM+evXRHCoIgCFUREXMjEK8sW0trKw78uh02btrE6+M+3t7Ut09fLmlqDFD6dd++vbR8+XLuPIa2rC2at6ARSrzHjh1L7du3N2g5W0EQBMG4iJgbELio9+/fT507diKLhmWriY7iL1iHRkEVdGprGdSSXF0LS7EayiK/nHWZA9g2btzIG1zn6KeOPt89e/Zk8bZ3cOB1bywLFO8SJwiCIFR9RMwNCLq0IYrdS1nWdcuwVp6ens4NRmJiYrgWOSLCEQmOrmAVAaVekcZ25MgRtrrDz4bze/Py8uINf6dRo0Zqc+T/YYVLAJsgCILpImJuIHJzcygtLZUc7O3/tcUpepsjUh3Cz73Wzc05Rxvd3cqT0oWgOdQ8x6QgMiqKI+lRCx37Iez6jnDIAcfm6elFDRqgTrx8/YIgCNUBGc0NBJqIII0M6Vq3AiKL6HBYzogg9/dvzEJ+O0CgYWmjSxqC1ZKSEtXkIJbOn49hQUc3Mljcbdq0oY4dO3IwG9qJCoIgCNUTEXMDUJjalUfZ2TlkpyzzktALcGjoUTpx8gS3KEXJU1jjZQHPh6WN18jLu8JeALjQN2zcQHv27qVayqJv374D9endm/r3789r4lWxBaogCIJgeETMDUB0dBTXTW/ZqqVuz40UusFT6fc/fufypn169yFfHx/do2UDbvTt27fTX3/9RStWrOQ88G7dutF9995HY0aP4Wh0qX8uCIJQMxExNwBZWdl09eo1cnb6Z7U3VE47cuQw7d9/gFO/mjRpWibRzcrKohMnjrN4I/8bP/v7+9OIESO4eUnXrl3vWG12QRAEoWohYl5BEMSmadc5Mvzm4LXTp09zSphZPTNev0bzEQSjlSbAiGzff+AA7dy5U4n3CY4wR/oYSqY2V5a3k1Mjzj1HPXQRckEQBEGPiHkFgZhDVFGfXA9SzpDLnXsll1PN3NzdeQ27uNjrI9DPnDlDoaGhvF0tuEpWlpZcuhXPa9TIiTw9PTn/HNHoZmYVS1kTBEEQqici5hUgK+sy5Rfkc5qXpRJhBKddUOKOyPL0jHRyatSI/P39WJwBBDwxMYHOnz/PW0JCPFdju3z5Mm+IOIcrvXnz5vy/bSU0VREEQRBMHxHzCnDuXAzZ29mx6CLNDK1BYZFnZ2dT+3btycXZRQn8VU5HQ/1zpJIhBxzBa2fCwvixwMAgDmTD5qjEX4q3CIIgCLeLiHkFCA8P53XwBvXr06lTJ2nX7l3Urk0b6tSpMxeOuZyVRSdPnKB169fTmjVrOJWsZcuWNHDgQBo8aBC1atWKjxMEQRCEiiBiXg6uXb9G0eeiyc3VVQn6Wdq+cwdHs48aOYofnzdvHi1avJh27tpJFpaWNG7sWJowYYIS8UFkaWl1y+pwgiAIgnC7iKqUg2tKuGFlR0RG0qVLlyk/L5/XwLds2UKRUZE0ePBg6te3L3Xv1p28vb05QE6/CYIgCIKhETG/TVDtDcFqGzZs4HXw+vXNqHFjf2rbti01adKEG6ZgDR3FYaytrcnMzEz3TEEQBEEwDndpqBMqlBmkkE1/ejrZO9hzzXOknKEOOqLZhdsnJuYc1a1bj1xdXXV7hPKAoMvIyAhq2bKVbo9QEWLOx3A5ZDdXN90eoTzk5GRTeEQEtTKx6xLfPQwyGGmmgoh5GUCXM6Sd1a5di+ITEmju3LlkaSHibQiQi1/rrlo3eDDQSQ5b7Vq1uJVsWWrMw1uCZQy0j62ONelxmxbW5c8jM3VOcF6KL9sg7TEnN6fouoQHCeew8LqtXaZAS77Or6rja9Xm76O6xXbwOVLiApBOequ+/bgucTyuTfzfoAGuq1tnmujP+dWrV/karGgr4+oAzkdySjLZWFvzOf+3awrnDs/Rn/PatevckeVJXP8wMFBx01QQMb8FuKCQVoZuaMgbRyU3Z2cnsrOzZ0tc1sDLTm5OjhIbJdzqZsaMt6Rzh/MNUY5V5zs1LZXqm9XndD0UzLGwMFfPuXEgwPG56jVhlSIlsG7dOuoGdGNPCcSrOqT5QSDwGXFeUlNTKDExkRzsHcjZxYWvwZJEF8cjDfLixYu8FISKgb6+frzsg3Ny87nHAIrj4i7GUUZ6OosQBjIbG1uuOGjqQBxy1PWHIk1RUZG8D339Uf/BQk1+UJWxOPrrKjEpkRLU5D1fTXLc3HBdOfH5KGmyiNfHOcfxiKOxsrYiTw9PPuc4vjqNFUjDxefFtYnPhWvw5usE9Tdyc3IpLT2NIpVljnOMaxD3PspZ31wtE+ccr4kukLjGr6jJlLu7+y3PuXATEHPhnyiLRouKjtLGjB6tqcFTUzNErV49M83Xz0/7z3/+o6kZvqYuZt3Rwr/x6+zZWp8+fbSxY8fyubuZgoJ8LVqd7/vuvVdTM3g+39iaBDTR3nj9dS0zM0N35N9ERkVqH3z4gebk7FR0vKNjI+3Rxx7TQkKO6I4ybVKSk7XPPv1U69Chg1a/QYOiz9myZUvtj99/1xLi43VH/s2vv/2mderUSZ3HwuNxPls0b6Ht3rVLy8rK0h1VCK7zU6dOaj169NCsrW34eFzn/v7+2ocffqg7yrTZtm2bNmnyZE0Jd9H5a9CwofbAAw9ou9Q5uZnYuFjtnXfe5nOGY5VFrjU0N9ceeeQR7fjxY3zObmbmzJlam7ZttXpmZvychg3NtTZt2mihoUfV9Z6jO6p6sGjxYm3w4MH8+fr166d9+MEHukf+Zu++vdoTTz6h2TvYF51zN3d37eOPP9aioqJ0R/2Nmkhqr7zyiubj43vDOX/22We18PBw3VHCrRAxLwFlqfAF16VzF83c3IIvLP0FWbduPc3Ozk575plntPT0dN0zhFuxbt067e67h2v16zfQWrduoykLRvfI34QcOaKNHDGCB0H9ucYGYXF1cdUmTJigO7KQ06dPa6++9ppmaWmlvpO/vx98V1ZW1trdw+/WIiMjdEebJrm5OWpyc5/m5uqmmZnV/8d5cXB01N5+6y3t3LlzfLyyhrQ5c+doPr6+JR7v4eGhbdy0sUjQIUo4RwFNAljwi1/nON5WXedff/ONlp7xz4mUqbBy5UolPEP4uir++WrXKRTcoUOHaUuXLtUdXXjOJ02axOcc50B/PJ6LseCee+7Rtm/frju68BziHHl7+9xwznE8fm8c0Fjbu3ePlp+fp3uG6QLjBecH1wsmRvh8Ls4u2uOPPa47opDde/ao8zS+5LHT3p5FOy4uTnd04TmfMHGipqxwPqb4OVRWuZp0Pajt3r1bd7RQGrXfUuiMdEEHKrlt3LiRfv/9D3a3DRkyhO6//z5q06YVXc66THGxF+n8+Qs0ZOhgjlwXF9CNwCUcEhJC6qamuXPm0Ny58/h3uMNRc/6hh6bcsJ4It9rmzZvp119/oyx1zJAhg2nKlClc1jY39wrFnD9Pqamp1Lt3T3aNwkWnBmn67fff+btCvv+rr73CVfRQYjc+/iL3l4dns2fPXrq/YnosXLiIFiz4k93lnp4efB2OHz+O3esREZG8Rg5XJ8oGN2/RgrLUeVeWDEVGRKnzZEfDhg3j+gZ+fv4UeixUPZ5F5g0bcsYFSgfjdfE3li1dTqTO1Zixo2nixInUrFkzdkknxCfwEhMKHME9ampr6EpA6eNPPqEd23fwtdCxYwd69dVXaNSoUbyUg88IVzrcuH379uXrav2GDeqancdlmZs2bUr33jtRncN76NLlSxQbG6fOWTz5oeSyOkf16tWlzMxLNP2ZZzg11c3NlUaNHMnnEOf4aOhRuqQet7axJg8PT14uMmUyMjLojz/+oMWLl3B8Ba49M3UfNwkIIDV51h1F9OVXX9HGDRv5mFYtW6pr8hnq3KULhZ89SxnpGbysY2NrQ61btebj//zzL1q0aDFfj4FBgTR58iR1HkdQRmYGn2+UwPbz86MW6hq/eUlE+JvqFeFiIOIT4vmmxhqOsmbUAHoP36CTJk1WP4/nQS0+Pp7279vPa0LCjWDdC0GC3377LbdwPXLkCDefKQ0IBsQ+89IlFo3HH3+czzNEf9CggVS/QX018Kay4GNyhdc/deoURUVGkZWVFU1UA+64ceP4O7r77rupcePGlJScRJvU8QUF+bq/Ynqgfz3WyW2UGPTv35+eeOIJdV4m0PTp01lo6puZcXlgRAtjHRMd+o4fO85rxBCn++69VwnReN569OjBg+/Wrdv4fANMolavWcNBcujMN5aLG43n84jAHzXZp7NhZ+n48WO8pm5q4PNFhEfwteft40MjlYjjc+Eawc/IRIG4QLjTdffxihUrWDyw1t2rV0+eVI4ePYaef+45srC04Nc6cfy4OufhanzIpWNqkoRzhHPYr19fuve+++gedS3i+u3Qvj2vBW/btp3F3pTBfYfra/bsX8nGypoaqYlJSQF+F9TnPBYayuceAjxh4gS+N3EtDlKTQkxozp4Np0OHDilRL+DnrFyxko9HrEuf3n2UmE9WE8ux9NSTT/LkMzExiU6cOElRUVF8vFAyIuYlkJaaRgcPHOCfAwNbULt27XimjZ9RCMZWzSrBAXVMelrpIlVTgQhgcKulzCFMhmCNF49Wv5nYC7Fcrx6WkZe3F3Xv3p0DlIKCWlJbde5dnJ3VoHiddu7YxaIVrW5qeEbwM6zUkWoWD8sHg0dwcDALHYJvoqPP8WwfA6opEhUZyQWJYEW3a9uW2+H6KFHq2bMnNWkSoAbTBuwFwYb+90ePHmVPBs5/V2UJderUiby9fdii6d2rFwcrRUdHcSOgS0qc0Wv/2LFj/LcgPEgfwvEoOdxLHQ+PE77Ho0eP3XIyVlXJVpNxCASaHbVXnw/XFcTEzs6OrxFLK0ue4FxTlqL+Gtm1c5c6l9l83aJtMdJPEQw4dOhQbkGMAEJMIsOVIOGcHzx4iM/RXbXu4jLO+Dsenp7sVeqivgNM/HEsAuNwnKkSFxfHJakx6YbHB+cHWRU3g9bNSUnJ/Fm9vDzVJLQfH4vGUZjsIIAY11LMuRgWcFjpEHZ47Xx8vNVY25Y9Q3gOJl226rvSX7cony2Ujoj5TeDmxuAI9w4ICAjg6EtQq1Ztjgx2VuICMFPFscKNYACFq+z5F57nrbMSFWtlQZcGXJ1RUdEsHrihi7tzrdSA6+rmxt8LrHEMEjHKskS6C8Dg6qMESB8tjMECkwcI2hUlbHiOqYq5p5rQtFEiDlGGQAD9RElT5wPA7VjPrB57kU6fOs37cC6QBQD3LsAxmASA/PwCvraRRw0PR2ZGocWN19dbWsgEwHdobl6YzoZJhSle5zbWNrolsvtpQP/+5KzEGMsyaFuM6+LypcvsYnd0VOdKHYvzel5dW/Bs6OtHAJxP1EJwdnLmcwmv3EUlbuwNORPGx+Dc4brT15vAdQlvAJ6LjJhkJXCX1f+mCCYt8K7BvY4JzZNPPsGftSTQQArCDJAmWbx+BCboON+4l+GyP3v2LC+LJShRx7nHpFW/FIHzZmVtzctqOJeYDGFCIZSOiPlNIIUKVgsuLoCLr3gaBS4y/brNuZgYHkSFG4Hru2vXYBp+93DemjVryi7K0sBggfVLnNv69cywfFsE0gEt1AQKA8DFhHieySN9Kls9B0D4zS3M+WdQt07dohgGfo4aePG/KfLzzz/T1q1b6Mcff2Q3O8DEJEF9pj1797JIoKiJu9oKlABBZEDdenXZE1K7duF5wDmytrbi8wvS0pRlFFPYgleP5U3pP7jm0VcAwO0MN6upgUn31KlT6dVXX6WRI0fyPb1w0UL65ptv6NtvvlXWXjQFBQVSjx7d+XylpqSwJwQTJojzzd4k3Pc4lympqZSkJgUQ/YsXCwUG1zxERw+Os9KdP4DJJ9ItTREUylqzZi1PhBCDEdSyZZGBczOYIOK8gDp169xwHO5lGEQgV02EcG/Cc4bzDczM6quJ6Y3nHBU2cS3imsXfF0pHxPwmcJFlZRcKxb+BABs0XRHKD258WDj6ydPN4EbWD6p5V/LUsbmUmZnBVjfAoIliFCWBQQLrmvrBwtSBkCO478EpU9TAlsK/Q+TRhe+q+hniDuooEcd5KQ2ca1y7mBiVhQw1udUP0KYKJnRYq53+9DP06aefsTDUrlObOnXuRH379uFziVoSZQGFdbDh/KWVcfkBx6IZk6mBIjvr1q2llStXUOMAf3rzzTdueW1hon1Vdy9jcgiBLgn0t8jJhuF0qUz3Jy+FmOD5q0xEzG8CN3idYjPsW1Gv2ExTKB+wZur8S2Wtm4GFVLuYFVkTQCDc8mXL6IHJD9KBAwepVu1a7O68Z/w95O7hwWu2dZRFXlYwIOst93+j0Mo37escn9fb24tefvll6qkscVjeVwuuchT1zJnfqQlOPkdmlwWIFK5ZvGZJQWDVifnz5tPmTVvI378xTZv2NKHr463AOcS1aWgwLmMTSkfE/CYa1G/ArnU9sEhKmzki8rpeGYVfKBm4fs3q16OGDUt228GK1C9lwOWGCRQGFP0gqmkooZnHP98MBA6pg7eyJEwBBLbN/O57+uSzzyjkaIiaANWhV5UoPfjggxzIhQkRxFa/Xgtv0a2sHayFI1q7+DmHpVl8OQLP12cC4FhTv85xftzc3NU5e4Dee+89jlJHVbfEhEQ6EhJCx4+f4GtFvxRRaEmX7LlAhDWWfiDqeA7AdXqr5RzEIZR2jVdV4OnZuXMXnQ0Pp7w8xAecoR9++IG+++47ioiMoDx132H55eSpkzR79mxeB0dsjH5yDm9HaR43TMht0JDK9u9qkFev/R2IeDOYUFb3iVNFETG/CVxkCNzQr/Higi5+U+Niu6xbr0V+c2lrR0LZgQjZOzjwYIhzW1yG8q5c4e8Aguzp6cnfD4JkEBgH8H0gB10vXgi+QSQ7QI1xT2W1mrKYHz58mPP0FyxYQGdOn+GsihdefIFToBClrp94Yj3S3d2Df4bFiQmQ3jXO5ygtregc2dvZcalMlCXWg2Aw/XWO7wEDNfLSgYuzCzVQYmRqIBgL9SKQboZyvxBURFV36dqVho+4m4PcIDYpySmc9oS4Aax9Q/ghUlj+KQ5iOyA4EHBExONadFcTBIDrrjD3ulCMcM4hbvpzjudgUmRKwMWO4DTcf4jHWLVqNf3yyyzeEHOBYEpMpBFlPm/ePHaxo8xw0bKYOh9YEtOD1FPEdgCMmx4e7uSsri1MiiDoWDrD/V4cXIO4LlFaGMFwQumImN8EBn7cdBg0AfqT4ybGAIebG8KBmx8gn7m4FS+UD9Qa91JCjQEQ+bg43/gZYgQRQgoLvhekTGEARVSsPtIYA8bJk6f4ZxAbF0fxiQns6sN3g+/RVF3EyclJNH/+AlqyZAkXcGnVqhVNUdb4c88+y9HpxQO0kGURFBTEP+PcId0P1yrAOUKeLoCgOTk5k6uLK59DiBJAvrreA4Lzj2htxBsA/8b+RVa/KYG0u99++52+/vobWrt2XVFMAcCEBtcSwL2NcwaLMqBJAJ9XZFggmAtCgsfTdEFvBUrAEFiHKG0IUovAFvwaECJEXGfosgNw7SLdEmKOCQImoCZ3DpXAInodBYvw3lF7Xr9hEoTPhrlKXl4+Z0XAI4S0Mv2YmJ6ewVkqehC9DkGHJ8nWzpa8vbzZu+nq5sr7cP5wr+N8Y0PgJe5//C1XVxdOVxNKR8S8BHDjBavZO0AO5PETx+ncuWhOZzmw/wBHXkMg0B4PF6NQMWAlIi8XA2qYuuEPHzlM52LO0ekzpylUDcjIKcfsHRXe4GrDJMrb25saqJ+RE4z817jYWC6GcuDgAbYUGjZoSL5+vvzapmqZo2jMkiWLlRUUwyl33bt3o4GDBlFc3MXCYjHqcyIiG3m7GGxR4QwCAytn/4EDdEhZ9UjDwrHbt23jwdffz4+FyFwNuEgv6tChPf+tPXv2cKolziFEcMeOnbwfwoYqXnY6d7IpgUCsIyFHaOvWrbRNbagdgXOF+/fQ4cJCRrVq3cVeHlwnoE/v3nwukY6HJY3w8LN8TvAacMnjGsW1h0kiRAu5/7gmcc4PHjzI40XROVffH0SpefNmPAEoa4xCVQGeit7qfCCC/eYN1e4gwNh81cRy1OhRygiy4TxxpJhhooTztk1dd0gpw887du7gYk7wUmAyqk/xRTYBvgNcz7hm0cr3/IXzXNBI75XD8agjIdwCdYMLN5GRkaGtXr2qqEYw6gl3De6qdejYgWsFqxk8N/dAXWs1c9c9SyiNt/77X00JMJ/LoKCW/6jNrixBbcH8+dz8Asc0cmqk9e3XV2vVupVmbWPN9ZodGzXipiL68/3XX39p3bt1L/qOhg4Zon7vpimrk39v2rSZ9u3MmXysqYLGNKgzr/+MJW2+vn7aRx99xMcry5qfg5rYeKyZOgd91e9qolR0/JvquzgbfpaPV5aQ9tNPPxc95uPto/Xo3l1Tk1Su1a4Gam6moSYTfLypoaw8rWevXlxjHeekTds22seffKK99957mprQ8HVlaWWlTZ36kJabm8vPOXo0RJ2vwgYrFpaWWpOmTbShQ4dq1tbWfN/b2dup6+pbLS+vsNb6lStXtC5dCns4oPdAixYttN69emuN/Quvd2wfqu9HTbr4+OrC2DFjNTtbO25s9MjDj+j2FvL+++9rykLnz25nZ8/3pv4cYd/AgYO0ZcuW6Y7WtK1btxSdc2sbGy0wKEgbOmwoN1rBOVcWvDZ79mzd0UJpiJiXQkpKivZ///dyUQcv3Pi4sPTCsm7d2qIBQLg1/ybmQFni3AENx+jPM/7H73juL7N+uaFLXaaacP3266+aq5tb0fejf46Xl5f23HPPqUnCZd3RpoWy/rizHD4PPtuttuJijueFnQ3jSZC+cUrx8zh40CDt7NmzRecR/+M6nzB+fFEjEv3xyrJSA7Ujd/2CYJki+HwbN21SwjBMM6tfnz8XmoNgw8/KQtSeeWa6dvrUKd0zCp/z5Zdfai1btuJzpj8n+BmTzU8+/aSosQ3AOcc5gojrX7f4Ob9n3Lgbznl14VZinpyUpL344ouag4MjnwOcD/05DAwM0n748QdurqIH5xDXMM5hSef8ixkztNgLF3RHC6Uh/cxLAWtlWL+BCxeuouioaKrfoAG1alVY6hLuJ7jZTDm4qrLYvHkTu8uxhoaazsoSIiUeukcLwRojzvemTZto7dq17KbEWmOb1q35fAd378Zr63quX7tGySkpdOTIYVq5cjUdPnyIXX5wwffo2YN69ujBpUlN8ftRAz8hevh/H3yo21M6aKjSoX0HLmMLsD4OV++GDRs4eA4uZZTExJLQpPvuIy9v7xvW2uE2hht/8eLFtG/fPnYR47pGCeNBAwdS1+Cu6vhCN7Ipgsp1hcsGO3gpAQ1qHB3sqUVgkLqHe/HnRFR78UhprJWjVDPue1Q+QzOVFi2a06DBg6hrl668TKFfbweofXD40GHauHET7T+wn8vkNnJyoi6dO3ONdgRuFj/n1YH58+dz0OBd6v5C0xkU5dGDsRPX1O7du7mfwunTp7mPQKs2bWjggAHUvn07jtsofk1hvXz//v3qe9pOR0OOcm0DBHiigQsqICIIE/e3UDoi5v8CLjJcmIhMxbot1oMQiGFqkal3EgxuGFQRyIJBEFGsatate/RvIGI4NjIyktczcSzW1TDY6lOAioPjEXEbGRnF0bYQbgR0ubm786TBVAPfcEtCZMvSWALnCNdi8fODQE0EEuLaRVQ21tFxHjHRKU2UlbVJcRfjOKpdf96xTlkdsjUQaY6JItZuMblBECDiYiCyOHclXSe43xEEGK/OISZIOB7r5Dge48DN4JxjXRgVzRBIiIBEXLd4jqlOhG6F/nPis2Hyh3GxONeuXaXU1DQeO3FP68dOnHNM0kuaZOOex+smqnN+RXfO9cGXKIQk3BoRc0EQBEEwccRHLAiCIAgmjoi5IAiCIJg4IuaCIAiCYOKImAuCIAiCiSNiLgiCIAgmjoi5IAiCIJg4IuaCIAiCYOKImAuCIAiCiSNiLgiCIAgmjoi5IAiCIJg4Us5VEARBqBROnz5F+/cX9pVv1aoV9enTR/dI1QN9DdD4Cc122rRpw73/XVxcdY9WPcQyFwRBEIxOQUE+rVixkn7++WfuSmdra6N75PaA/blkyRJ+nb/++ovOnDmje8SwoBmMvb29+ltLaebMmXT48BHuCFdVETEXBEEQjM7R0FDasXMnd69Dd0MvL2/dI7cHuiUuWriIfp39qxLzhdxi1RgUtlT2JxsbGzp2/Djt2r2boqOjdY9WPWq/pdD9LAiCUG3Iyc1hVynak8Kag6V16dIlSkxKpMzMTG59WrdO3RtalKL1LFqm4jnXlBWGx7BlpKfTFfVadevUoVq6lqmw0tAqNSk5iV8vPy+f/0Zpfbdx/KXLf//9rMtZ/NpoD1pSS1CIVnZ2FrcSTUtP4+eQVigyxY/HZ8vKyuL3DOsXr1m8rStauKJdaeF5uF70GN4PXv/Klbyi84PPn5qayn8bf0d/bvBctDJNTUvl93H9WuHrlNQ+tjS+//4H2rZ1G3l5etLo0aOoQ8eOukcKuVpQQJmXMovOJzazuvX4b+jfB94f9r/3/vt0JixMfb851KRJEwoMDOT3j03/veNz44ThuTg/CYkJ6vPmqPNdu6iNbX5+HrcKTs9IV3//Ku/XfyY8D61sU1OS6ejRUL52XFxdKSgoiB+vaoiYC4JQLTl1+hSdVQM+erVfuZLLQnDgwH7aum0bnThxggWpQYP6ZGZWv2gAh7hhjTQiIkIJ72UoJYv77l27eJ3X3sFBHW/G+9C/fP++fWxt4vUSExL5Nevza5oVCS6EEv380WM+JCSEtm7dyseHnQlTE4A8qq0EBMcXnwRAjCAyx44do71799Ghw4f4OblKlGvXLjwewgPBwefav38/979PVIKFx9B3Xc85ZU2ePHVSWZVRSsCv8WN4b8lKNA8dOkQxMed07mONLl6Mpx07drDg2ds78OtDPM+ePcv7Dx48yO8D+/Aa9evX5/73OO5W4Hy98cYb6j2cowH9+9O4ceNu6MGP1zsfE6Ne/xD/HfwNbHV0ky38DXxeCOquXTtp6bJl/Jr47pycGpGDgz1ZWJhTw4bmdPzEcfV+w9gDUKAmCPjMh9X527x5M0VGRvF33aB+Axb7MHXcunXrKDQ0VIl2Kk/W0O8ef08P+qlv3rKFv69G6m/16N691AnbHUVdaIIgCNWORx5+WHN2dtHU4Kz16NFDe+yxxzQlhEVb/QYNeN/x48d1z9C006dPacrK48f79euvvfvuu9ro0aP59+eee16LjIzULmVmagvmz9c6dOhww+th8/T00p5/7jktOTlZ94qapiYS2nczZ2od2rf/x/HYhgwZoq1YsUJ3dCHr1q9Xf7+f1qBBw38cryxD7ffffuP3AZQQai2at9CUsGleXt7azz/9zPv1vPfee5qrqxs/98knn9TUJEFTQqjNmTNHs7S04v1TpkzRXn/9da29eo9KELWvvv6aX1dZs9o7b7+jeXh43vAesLVp3Ub74fvv1ee7ovtLJaMmCtrCRYs0N3d3rZGTkzbjiy90j/zNp59+qs570D/+BrbBg4do69X5UOKrKaEv8ZiuXbtq27Zt5dcaN3as5mDvoDk4OGpj1M//9/L/3XCsv7+/9v7772mff/6ZpiZnNzzWLTiYv9ubGXfPPZq1tY02cOAgbcvWwr9T1RDLXBCEasnKlSuVhRaurLnLyuK8yJYeLHHHRo0oJzuHrdEzytpKS0ujnj16UANlkcGVvHDhQv4flvix48fYxQq3c6dOnahjx460fPlymvHFl3T8+An+O27ubuTu7s5udrioo5QFHB4eTqNGjeLHf/rpJ/rll1kUqqxsa2srfp0ePbrT5azLbIFHRETy3/Lz8yU3Nze2Kp948kk6cvgI1albhwIaN6b+/fqTi4sznVPWK95bzLkYUpMRatu2LVuYv/zyC6Wp17CwsODPgv16du7cyRYvLNn27dtRz5492XpH4Njq1avZeo2Lu0ghR0PYcobl2q9/P2rapAn997//pd9//0NZ8clsrfr5+nJQWJZ6LXgOYtT7ycu7Ql26dtX9tX8Cz8G333zD57F1q1Y0cOBAatq0qe5Rojlz59CXX3zF58zDw50GqcfHjx/P3ozk5BT2OFy9dpWtYmdnJ17awD68LqzxNm1a0+DBg6lLl8783vD9wRuD96gmX7Rv7z7+/vTAC7B79x7asmUr5Rfkq/PqQpfVNQLi4xP4nPv4ePN+PXgdnBu8J0cHBwoODtY9UnWQADhBEKo9iJweMmQwrVq1kpYuWaJE6k1SFhqLKURNWcK6I/8G66y17qpFY8eOpS+/nEGDBg1g1zQisSMjI8hBDepPTXuKX2/unDn00UcfUvfu3dXkIJ0OHjrE7nSICNzG585Fk7MS4zFjx9A3StiUFUxz/vhDiXoPFlZ22e8/wC55iExyUjJPNkarCcFPP/9E/33rv/T5jBn02GOPkqOjA7uH8b6xRm4IIJDKmuXX//TTj6mDEv0DBw/QyZOn+LEWgS34881fMJ+35557Tk0+/ChCiRyWLSCupYFzsHffPl53d3V146WK4mxTnxcTKnc1Kbr33nvp7XfeoQcffJC+/fYbsrKyYtFOiI/nZQxPTy967bXXyElNyDDpQCDdkCFDaMqUKWoi4Kl7xUJw/loGteT3vWPHdpoz53cl9nZ8jvGaHTt2oN9+/ZW/P3xmiDf2Y6kB7vjieHp68rIA4h1OnDyp21u1EDEXBKHaE9A4gO4ZN05Zb13Yah0/YTwHMpkrazxBiQQE+mYgFN26B9PTT09jK7tt23ZKlGM4ojk39woLTe9evZS4OvJA37p1K/Lx9WaxSEtNo31KwCBkCK6CkGUpqw6egl27dvH6ubV6/qRJ99Mrr77MYoQgLpCYmMjWMl4nOiqadmzfwcJ9TVmnw0cMZyF99tln1cSh2w0WZ0WAMI8cOYIefvhhGjFiJFvOWE9PUJYqRBNC2759ez4n2Dp16kBOTk48GYqNjaXQY6G6V7oRfAYEmcFShrja2tnyGnRx4CmYPv1peumll6h//36E5Xec48OHDvN5APn5BWrL5zV6vFf9Oj3WrnH+4dHAY8WpZ1aPAoNa0OjRo/l7HzRoEL9nPMdOiTpyxwcMGMDXAyYE+veFv4OAweJgAtLQvCFb5vFqYlEVETEXBKHa4+HpQV26duHgMeDn66cE3p/FBRHmJVmWbm6uFNw1mN3isChhiSOoCq50AMsdwvzdd9/xtnTpMorSWXQQofCIcBYzTBrg2oe7P+TIEfrhxx85svvHn37iQDunRk7qb3Skdu3a8XObN2+uJgqWLKJwzc+aNZt++OEH9Te+Z/dwfWXJQ8hxvP7zVBSIN7wEKOTi6upKNja2FBkRqcTrEj8OUceyhf6zwnuQkpLMj2Ur4cOkoyQw2YAwZmdl888W5ubU4CbRhTejSZMAJfYFvCQwc+Z3/HmxNIHJQnmBx6OROu9YAoHw4zOZW1jwebW2tCJnJexIOwMQeX2Ee0mYKyE3UxMIRLzjsyAQsaohYi4IQrUHKUYQ4+LYKgsTa8yIKM/IzNDt/RtbWztyU0JQHKy3QmAgDkgXmz9/Aa8p67fw8Ai2FIv/rZHK0kUENwQL0denTp2ixYsX01dffU0fffgR/frrr8oKPsxr2ogQ79+vH/Xu05tatGjO1iLW+9esWcsTgHffeZd++uln2rFjp7Lgk4oi5iuKg6MDv+/iwL0OixgiDLdz8c+5cOEi9XgmOTs7k60SSUxaSgLPzbuCFLFC9FHpxcF69MoVK2nGjC/os89n0J9//kV79uylHN15plsHypdK7Vq1eSsJCDqyCMoKUhjxHHD92jW20KsaIuaCIFR74OJFPnVxEDhWoCwtCAbWxsvCXbUK884horD6xowZTWPHjvnHBpd1585d+NjOnTvTq6++ytvAgQPYTWxjbc0TjGvXrnPqGQQagVvASj328Ucf0Wuvvcr52K1ateQ1f0tLC3YRnzp9mmYq6xjHI+Xu34Cglia2eurVraNe+0Zxw3uHluJ9NlcTi5I+J7bBgwdRQECA7lklgBfRAesb69J68PMLL7xIi5cspZTUVGqiXmeces1p056i9//3PntOyvrdGBPk5xc/hzzJqGKImAuCUO25cCH2H+vi0efOUVJSEucmw7VcFlycXcjKCnnad5GPtxd9+OEH9MUXX/xj+/jjj+nRRx7hALXw8LOUrqx4RFt/991MCj16lE6ePEHfzvyG2ndox2u952LO0caNG1kwEM2ONeagli3p7Xfe5gA6rLEvXryIBg8ayHnimcoqRu53WUqZIhK9uICWFVc3V2rQoKES+rrUpVPnEj8nNiRE3X333bpn3QisWUxC9KSnZ/DyBMDaND5reEQExxQMv3s4ffzJJzRDvSZiAoar17x5HfxOkZqWxssJoHad2mRR7DNVFUTMBUGo9hxVAoo1ajT6wDrw999/TwcPHOT0MKyXwnouCwhyQzAYLP3IyGgl2p+wdYwNTTkeePBB8vb24epmq9esYRF+8slpNGTIMHrwwSmcpgYRc3B0pNGjRlNLJdhYH7cwt+BoaljRr7/+hrLIxyrhHkxff/U1p6JB1IKDu9HwESM4AA1AaBF4BysRbnIIJ4Kztu3YTuvWr+PiN0uXLqUFf/7JLvPbBfECeF0I2c5du2jOnDm8H+dv9uxZNHDgIP6so9TnCAsL48duBh4MvE8XVxd2r2OZAssJAJ8VKWF6ixfpeZnqfWI/Jj/vvfceBxLi99JAIGJhpTfjkqEmIbk5uVxQBssR9es30D1SdRAxFwSh2oPKYQiuevzxJ2jcuHvo66+/5ojpBg0asAsZuc9loVmz5hz9jIA4iOwff/yhhHcMb6+++hqtX7+ercwAf39qp45zc3PndCgITmjoMfr551n00ENT2PJ8ato0DiTD2jOisZG7DGFu3aY1Cx68CVifRoT59OnT6cUXX6Rvv53J+d2YgPj7+5Gzc6FIduzUidejYYFv2bKF3nj9TfWcZ+jdd9/j17qVIJZGz549qHmzZhy0Bgv6E2U1Dxt2tzp/4+nzz79gTwcCw9q2bcPBgqUBQW8ZGMjvD+v/KakpvB9LBt7e3hx1js99+PBh+uijj2jCxAk0YcJE+vXX3ziQEEsbiOTHBEqPja0NT15S1XewYP4C+urLr+iSmigYi/MXzqvvKZ2FvJk6J+JmFwRBqGRQmtTb24sHYeRyb9q0WVmSZznauX///nTPPePIx8dHd/StQToa1ognThxPXl6enKq2YcNG3o6GHiUrS6vCFK9HHuHgMATYTZgwgQYOGMBWdGRUJK1avYYWLVpMy5ctp1gl2BDlIUOHcDQ5RGLE8BG8Vo79EG6433E8NngYULp01MiR1K9fP56MQBRHDB/Oomplacn52CgbixKl9erVpd69e/P7uF0wYZkwfjy/N0sLS845R+lTeCAQhR8Q0Fidh3vV5x2pXv/GdLPiQMw7d+nC3gUUmUHqnX4/UsTGjB7NIom67wgEXLd2HR1R779rcFfy9fXl0qvx6jxcUIIKQcc5GjCgP1lZW1Fefj43Qdm5a2eRG9wYIEsBWQxOzk4UKLXZBUEQKg99BTisW3fr1o0LkkDYUQAEzTm6dQumcWPHstjBfQrgAse6LixGpIshF9m1WCUwAKvY1cWVA8MQyObt483dtdq0bk39lWhDaJFupQd/D9a5vRJhuNKREoU1ek9PD2rXrq0Sy6E0eNCgIosPr4/gOkTbozgKrHZMDPCcoMAgzsVG4F0bZflDyCGKeLyOslQtlJjj+ICAJpwXDqHtrj47xBxBavjMSJWDlYyofFi+SIXD+YHXAZMVPXhdDw8PFlq8biPHRlwZDZ8VlfBGjBhBQ5XQ4/n/Bl5rw4YNHKOAzwnvBiYitWrV5s9au04t9bmdydvLq/C7CQ6mqQ8/zIF/SC3D9xEYFMjvHRa5nZ0tXdHl+uNxTGTg2cBrYgKEVMDmzVtwOmLx9xcXG8vnvbX6rjqo89NYF7gHzwWqv+HvdOjQgd8fvjeA9zxr9iyuANe+XTs1+buH33NV4y7t38IcBUEQTBAEoK1ctZouXcqkRx99lD75+GNeO4YFCBGEACL4rbzASuTX07mNIXoIjrtVvjJyrmFh6nF39+BJQWkgBQopcOjYBuzt7Dk3uo56/yUB6xGdx2qpSQHyqvV51BWF0/fUZ0UBHID2pbcTnIaSryPUxGLfvv1crvWZZ57hQi56cF5wHvE/XhffDdL4bgXeDwIAMQGC5wWTAWOwYsVyeu2117lK3dSHp9Lr6mdMhqoaIuaCIFRLbhbzGTNm6B4R7gQ4/z///At3Jpsy5UF65tlndY9UbfTXEbwRjz/+GNeBr4rImrkgCIJgdJ544nHq0LE9RZ2Lpg0bN1JsXKzukaoJPC/R6r2uXL2arl4roCFDB1O/fn11j1Y9RMwFQRAEowO3OTIJsI4P1/i2rdt0j1RNkJWwZvUacnF2pocffoQ6d+pM6K9eVRExFwRBEIwOBBw58vrc+KpYErU4CIrDujziKzgI0MKC33dVRdbMBUEQBMHEEctcEARBEEwcEXNBEARBMHFEzAVBEATBxBExFwRBEAQTR8RcEARBEEwcEXNBEARBMHFEzAVBEATBxBExFwRBEAQTR8RcEARBEEwaov8H/bRTGl5qRiYAAAAASUVORK5CYII=\"/></p>\n<p style=\"text-align: center;\"><sup>[The Haber Bosch Process [graph] Available at: https://commons.wikimedia.org/wiki/File:Ammonia_yield.png</sup><br/><sup>[Accessed: 16/07/2022].]</sup></p>\n</div><div class=\"specification\">\n<p>One factor affecting the position of equilibrium is the enthalpy change of the reaction.</p>\n</div><div class=\"specification\">\n<p>The standard free energy change, Δ<em>G</em><sup>⦵</sup>, for the Haber–Bosch process is –33.0 kJ at 298 K.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the expression for the equilibrium constant, <em>K</em><sub>c</sub>, for this equation.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State how the use of a catalyst affects the position of the equilibrium.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>With reference to the reaction quotient, Q, explain why the percentage yield increases as the pressure is increased at constant temperature.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the enthalpy change, Δ<em>H</em>, for the Haber–Bosch process, in kJ. Use Section 11 of the data booklet.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why the value obtained in (b)(i) might differ from a value calculated using Δ<em>H</em><sub>f</sub> data.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Demonstrate that your answer to (b)(i) is consistent with the effect of an increase in temperature on the percentage yield, as shown in the graph.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State, giving a reason, whether the reaction is spontaneous or not at 298 K.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the value of the equilibrium constant, <em>K</em>, at 298 K. Use sections 1 and 2 of the data booklet.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the entropy change for the Haber–Bosch process, in J mol<sup>–1 </sup>K<sup>–1</sup> at 298 K. Use your answer to (b)(i) and section 1 of the data booklet.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline, with reference to the reaction equation, why this sign for the entropy change is expected.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(iv).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>K</mi><mi>c</mi></msub><mo>=</mo><mfrac><msup><mfenced close=\"]\" open=\"[\"><mrow><mi>N</mi><msub><mi>H</mi><mn>3</mn></msub></mrow></mfenced><mn>2</mn></msup><mrow><mfenced close=\"]\" open=\"[\"><msub><mi>N</mi><mn>2</mn></msub></mfenced><msup><mfenced close=\"]\" open=\"[\"><msub><mi>H</mi><mn>2</mn></msub></mfenced><mn>3</mn></msup></mrow></mfrac></math> ✔</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>same/unaffected/unchanged ✔</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>increasing pressure increases «all» concentrations<br/><em><strong>OR</strong></em><br/>increasing pressure decreases volume ✔</p>\n<p><em><br/>Q</em> becomes less than <em>K</em><sub>c</sub><br/><em><strong>OR</strong></em><br/>affects the lower line/denominator of Q expression more than upper line/numerator ✔</p>\n<p><br/>«for <em>Q</em> to once again equal <em>K</em><sub>c</sub>,» ratio of products to reactants increases<br/><em><strong>OR</strong></em><br/>«for <em>Q</em> to once again equal <em>K</em><sub>c</sub>,» equilibrium shifts to right/products ✔</p>\n<p> </p>\n<p><em>Award <strong>[2 max]</strong> for answers that do not refer to Q.</em></p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>bonds broken</em>: N≡N + 3(H-H) /«1 mol×»945 «kJ mol<sup>–1</sup>» + 3«mol»×436 «kJ mol<sup>–1</sup>» / 945 «kJ» + 1308 «kJ» / 2253 «kJ» ✔</p>\n<p><em>bonds formed</em>: 6(N-H) / 6«mol»×391 «kJ mol<sup>–1</sup>» / 2346 «kJ» ✔</p>\n<p>Δ<em>H</em> = «2253 kJ - 2346 kJ = » -93 «kJ» ✔</p>\n<p> </p>\n<p><em>Award <strong>[2 max]</strong> for (+)93 «kJ».</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«N-H» bond enthalpy is an average «and may not be the precise value in NH<sub>3</sub>» ✔</p>\n<p> </p>\n<p><em>Accept ΔH<sub>f</sub> data are more accurate / are not average values.</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>increased temperature decreases yield «as shown on graph» ✔</p>\n<p>shifts equilibrium in endothermic/reverse direction ✔</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>spontaneous <em><strong>AND</strong> </em>Δ<em>G</em> &lt; 0 ✔</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>ln</mi><mo> </mo><mi>K</mi><mo>=</mo><mo>⟨</mo><mo>⟨</mo><mfrac><mrow><mo>∆</mo><mi>G</mi></mrow><mrow><mi>R</mi><mo>.</mo><mi>T</mi></mrow></mfrac><mo>=</mo><mo>⟩</mo><mo>⟩</mo><mo> </mo><mo>-</mo><mfrac><mrow><mo>-</mo><mn>33000</mn></mrow><mrow><mn>8</mn><mo>.</mo><mn>31</mn><mi>x</mi><mn>298</mn></mrow></mfrac><mo> </mo><mo>/</mo><mo>«</mo><mo>+</mo><mo>»</mo><mn>13</mn><mo>.</mo><mn>3</mn></math> ✔</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>K</mi><mo> </mo><mo>=</mo><mo> </mo><mn>6</mn><mo>.</mo><mn>13</mn><mo>×</mo><msup><mn>10</mn><mn>5</mn></msup></math> ✔</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>Accept answers in the range 4.4×10<sup>5</sup> to 6.2×10<sup>5</sup> (arises from rounding of ln K).</em></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Δ<em>G</em> = «Δ<em>H</em> – <em>T</em>Δ<em>S</em> =» –93000 «J» – 298«K» × Δ<em>S</em> = –33000 ✔</p>\n<p>Δ<em>S</em> = 〈〈<math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mo>-</mo><mn>93000</mn><mo> </mo><mi mathvariant=\"normal\">J</mi><mo> </mo><mo>-</mo><mfenced><mrow><mo>-</mo><mn>33000</mn><mo> </mo><mi mathvariant=\"normal\">J</mi></mrow></mfenced></mrow><mrow><mn>298</mn><mo> </mo><mi mathvariant=\"normal\">K</mi></mrow></mfrac></math>〉〉 = –201 «J mol<sup>–1 </sup>K<sup>–1</sup>» ✔</p>\n<p> </p>\n<p><em>Do <strong>not</strong> penalize failure to convert kJ to J in <strong>both</strong> (c)(ii) and (c)(iii).</em></p>\n<p><em>Award <strong>[2]</strong> for correct final answer</em></p>\n<p><em>Award<strong> [1 max]</strong> for (+) 201 «J mol<sup>–1</sup> K<sup>–1</sup>».</em></p>\n<p><em>Award [2] for –101 or –100.5 «J mol<sup>–1</sup> K<sup>–1</sup>».</em></p>\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«forward reaction involves» decrease in number of moles «of gas» ✔</p>\n<div class=\"question_part_label\">c(iv).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Deducing the equilibrium constant expression for the given equation was done very well.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Good performance; however, some misread the question as asking for the effect of a catalyst on equilibrium, rather than on the position of equilibrium.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Mediocre performance; very few identified the effect of increasing pressure on all concentrations. Consequently, <em>Q</em> becomes less than <em>K</em><sub>c</sub> (it affects the denominator of <em>Q</em> expression more than the numerator) was not addressed. Question was often answered with respect to kinetics, namely greater frequency of collisions and speed of reaction rather than from equilibrium perspective based on effect of increase in pressure on concentrations.</p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Good performance; often the bond energy for single N–N bond instead of using it for the triple bond and not taking into consideration the coefficient of three in calculation of bond enthalpies of ammonia. Also, instead of using BE of bonds broken minus those that were formed, the operation was often reversed. Students should be encouraged to draw the Lewis structures in the equations first to determine the bonds being broken and formed.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Outlining why Δ<em>H</em><sub>rxn</sub> based on BE values differ due to being average compared to using Δ<em>H</em><sub>f</sub> values was generally done well.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Good performance; some did not relate that increased temperature decreases yield «as shown on graph» and others arrived at incorrect shift in equilibrium for the reaction.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Reason for the reaction being spontaneous was generally very done well indeed.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Good performance; for ln<em>K</em> calculation in the equation ΔG = RTln<em>K</em>, ΔG unit had to be converted from kJ to J. This led to an error of 1000 in the value of ln<em>K</em> for some.</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Very good performance; since the unit for <em>S</em> is J mol<sup>˗1</sup> K<sup>˗1</sup>, Δ<em>G</em> and Δ<em>H</em> needed to be converted from kJ to J, but that was not done in some cases.</p>\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Average performance for sign of the entropy change expected for the reaction. Some answers were based on Δ<em>G</em> value rather than in terms of decrease in number of moles of gas or had no idea how to address the question.</p>\n<div class=\"question_part_label\">c(iv).</div>\n</div>",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions",
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change"
    ],
    "subtopics": [
      "reactivity-1-2-energy-cycles-in-reactions",
      "reactivity-1-4-entropy-and-spontaneity",
      "reactivity-2-1-how-much-the-amount-of-chemical-change",
      "reactivity-2-3-how-far-the-extent-of-chemical-change",
      "reactivity-3-4-electron-pair-sharing-reactions"
    ]
  },
  {
    "question_id": "22M.2.HL.TZ1.5",
    "Question": "<div class=\"specification\">\n<p>Organomagnesium compounds can react with carbonyl compounds. One overall equation is:</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"specification\">\n<p>Compound B can also be prepared by reacting an alkene with water.</p>\n</div><div class=\"specification\">\n<p>Iodomethane is used to prepare CH<sub>3</sub>Mg<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math>. It can also be converted into methanol:</p>\n<p style=\"text-align: center;\">CH<sub>3</sub><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math> + HO<sup>–</sup> → CH<sub>3</sub>OH + <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math><sup>–</sup></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the name of Compound B, applying International Union of Pure and Applied Chemistry (IUPAC) rules.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Compound A and Compound B are both liquids at room temperature and pressure. Identify the strongest intermolecular force between molecules of Compound A.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the number of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>σ</mtext></math> (sigma) and <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi mathvariant=\"normal\">π</mi></math> (pi) bonds in Compound A.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the hybridization of the central carbon atom in Compound A.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify the isomer of Compound B that exists as optical isomers (enantiomers).</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw the structural formula of the alkene required.</p>\n<p style=\"text-align:left;\"><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why the reaction produces more (CH<sub>3</sub>)<sub>3</sub>COH than (CH<sub>3</sub>)<sub>2</sub>CHCH<sub>2</sub>OH.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the structural formula of the repeating unit of the polymer formed from this alkene.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce what would be observed when Compound B is warmed with acidified aqueous potassium dichromate (VI).</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify the type of reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the requirements for a collision between reactants to yield products.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the mechanism of the reaction using curly arrows to represent the movement of electron pairs.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The polarity of the carbon–halogen bond, C–X, facilitates attack by HO<sup>–</sup>.</p>\n<p>Outline, giving a reason, how the bond polarity changes going down group 17.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(iv).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>2-methylpropan-2-ol /2-methyl-2-propanol ✔</p>\n<p> </p>\n<p><em>Accept methylpropan-2-ol/ methyl-2-propanol.</em></p>\n<p><em>Do <strong>not</strong> accept 2-methylpropanol.</em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>dipole-dipole ✔</p>\n<p> </p>\n<p><em>Do not accept van der Waals’ forces.</em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>σ</mtext></math>: 9<br/><em><strong>AND</strong></em><br/><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi mathvariant=\"normal\">π</mi></math>: 1 ✔</p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>sp<sup>2</sup> ✔</p>\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>butan-2-ol/CH<sub>3</sub>CH(OH)C<sub>2</sub>H<sub>5</sub> ✔</p>\n<div class=\"question_part_label\">a(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>carbocation formed from (CH<sub>3</sub>)<sub>3</sub>COH is more stable / (CH<sub>3</sub>)<sub>3</sub>C<sup>+</sup> is more stable than (CH<sub>3</sub>)<sub>2</sub>CHCH<sub>2</sub><sup>+</sup> ✔</p>\n<p><br/>«because carbocation has» greater number of alkyl groups/lower charge on the atom/higher e<sup>-</sup> density<br/><em><strong>OR</strong></em><br/>«greater number of alkyl groups» are more electron releasing<br/><em><strong>OR</strong></em><br/>«greater number of alkyl groups creates» greater inductive/+I effect ✔</p>\n<p> </p>\n<p><em>Do <strong>not</strong> award any marks for simply quoting Markovnikov’s rule.</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"183\" src=\"data:image/png;base64,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\" width=\"213\"/></p>\n<p><em>Do <strong>not</strong> penalize missing brackets or n.</em></p>\n<p><em>Do <strong>not</strong> award mark if continuation bonds are not shown.</em></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>no change «in colour/appearance/solution» ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«nucleophilic» substitution<br/><em><strong>OR</strong></em><br/>SN2 ✔</p>\n<p><em><br/>Accept “hydrolysis”.</em></p>\n<p><em>Accept SN1</em></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>energy/E ≥ activation energy/E<sub>a</sub> ✔</p>\n<p>correct orientation «of reacting particles»<br/><em><strong>OR</strong></em><br/>correct geometry «of reacting particles» ✔</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"106\" 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\" width=\"551\"/></p>\n<p>curly arrow going from lone pair/negative charge on O in <sup>-</sup>OH to C ✔</p>\n<p>curly arrow showing I leaving ✔</p>\n<p>representation of transition state showing negative charge, square brackets and partial bonds ✔</p>\n<p> </p>\n<p><em>Accept OH<sup>-</sup> with or without the lone pair.</em></p>\n<p><em>Do <strong>not</strong> allow curly arrows originating on H, rather than the -, in OH<sup>-</sup>.</em></p>\n<p><em>Accept curly arrows in the transition state.</em></p>\n<p><em>Do not penalize if HO and I are not at 180°.</em></p>\n<p><em>Do not award M3 if OH–C bond is represented.</em></p>\n<p><em>Award <strong>[2 max]</strong> if S<sub>N</sub>1 mechanism shown.</em></p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>decreases/less polar <em><strong>AND</strong> </em>electronegativity «of the halogen» decreases ✔</p>\n<p> </p>\n<p><em>Accept “decreases” <strong>AND</strong> a correct comparison of the electronegativity of two halogens.</em></p>\n<p><em>Accept “decreases” <strong>AND</strong> “attraction for valence electrons decreases”.</em></p>\n<div class=\"question_part_label\">d(iv).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Naming the organic compound using IUPAC rules was generally done well.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Mediocre performance in stating the number of σ (sigma) and π (pi) bonds in propanone; the common answer was 3 σ and 1 π instead of 9 σ and 1 π, suggesting the three C-H σ bonds in each of the two methyl groups were ignored.</p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>sp<sup>2</sup> hybridization of the central carbon atom in the ketone was very done well.</p>\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Mediocre performance; some identified 2-methylpropan-1-ol or -2-ol, instead butan-2-ol/CH<sub>3</sub>CH(OH)C<sub>2</sub>H<sub>5</sub> as the isomer that exists as an optical isomer.</p>\n<div class=\"question_part_label\">a(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Good performance; some had a H and CH<sub>3</sub> group on each C atom across double bond instead of having two H atoms on one C and two CH<sub>3</sub> groups on the other.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Poor performance, particularly in light of past feedback provided in similar questions since there was repeated reference simply to Markovnikov's rule, without any explanation.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Mediocre performance; deducing structural formula of repeating unit of the polymer was challenging in which continuation bonds were sometimes missing, or structure included a double bond or one of the CH<sub>3</sub> group was missing.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Mediocre performance; deducing whether the tertiary alcohol could be oxidized solicited mixed responses ranging from the correct one, namely no change (in colour, appearance or solution), to tertiary alcohol will be reduced, or oxidized, or colour will change will occur, and such.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Excellent performance on the type of reaction but with some incorrect answers such as alkane substitution, free radical substitution or electrophilic substitution.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Good performance. For the requirements for a collision between reactants to yield products, some suggested necessary, sufficient or enough energy or even enough activation energy instead of energy/<em>E ≥ </em>activation energy/<em>E</em><sub>a</sub>.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Mechanism for SN2 not done well. Often the negative charge on OH was missing, the curly arrow was not going from lone pair/negative charge on O in -OH to C, or the curly arrow showing I leaving placed incorrectly and specially the negative charge was missing in the transition state. Formation of a carbocation intermediate indicating SN1 mechanism could score a maximum of 2 marks.</p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Good performance on how the polarity of C-X bond changes going down group 17.</p>\n<div class=\"question_part_label\">d(iv).</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
      "reactivity-3-4-electron-pair-sharing-reactions",
      "structure-2-2-the-covalent-model",
      "structure-2-4-from-models-to-materials",
      "structure-3-1-the-periodic-table-classification-of-elements",
      "structure-3-2-functional-groups-classification-of-organic-compounds"
    ]
  },
  {
    "question_id": "22M.2.HL.TZ1.6",
    "Question": "<div class=\"specification\">\n<p>Nitric acid is usually produced by the oxidation of ammonia.</p>\n</div><div class=\"specification\">\n<p>A mixture of nitric acid and sulfuric acid can be used to convert benzene to nitrobenzene, C<sub>6</sub>H<sub>5</sub>NO<sub>2</sub>.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw arrows in the boxes to represent the electron configuration of a nitrogen atom.</p>\n<p style=\"text-align:left;\"><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce a Lewis (electron dot) structure of the nitric acid molecule, HNO<sub>3</sub>, that obeys the octet rule, showing any non-zero formal charges on the atoms.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the relative lengths of the three bonds between N and O in nitric acid.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State a technique used to determine the length of the bonds between N and O in solid HNO<sub>3</sub>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write an equation for the reaction between the acids to produce the electrophile, NO<sub>2</sub><sup>+</sup>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw the structural formula of the carbocation intermediate produced when this electrophile attacks benzene.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the number of signals that you would expect in the <sup>1</sup>H NMR spectrum of nitrobenzene and the relative areas of these.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAV4AAACzCAYAAADBhnTyAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAxISURBVHhe7d1/UNR1Hsfx1yJZZ6TkZNNC5pVkeBd3NVjNXXWnmNaMGh7WZf44Ss/Sox+nWQQaaWFKMVCelk0TZZSZU5vE5SWe6B9OTRTnNXTXSk7TL9hu6gph8xqD5Xbp2yToXYL47ru7z8cM4+7nu+D4+ThPvnz2u4unM0wAADMJzp8AACOEFwCMEV4AMEZ4AcAY4QUAY4QXAIwRXgAwRngBwFjMvYDC4/E4t3Awtywz69N3FmvI+hw7B69fTIY3xv5JR81Nc8L69I3VvLE+x0bPeWWrAQCMEV4AMEZ4AcAY4QUAY4QXAIwRXgAwRngBwBjhBQBjhPcYCDX5NDdlskrrW5wRuFroA/nmjtG40joFnSG42QE1+W5Syrhy1QdDzlh0Ibz9LBTYpqWFVWrPGKSG1ctU4W91jsCVQk2qXXqPqtqHK6VhrW6teJv4utoBBWofUGHVF8pI+btW31opfxTGtxfhDf+D6yuVPy6l6+VvHk+Gcku3qjFKv+P0v5CC/vW6/tKNSiu4XdlnXqK84knau2CGCmubwkfhOsG3VXH9LK1Pu0lLsjN0fl6BZu69U1MKtynAgrlQq/wVC3Tp+tNVsOQ3OvP8G1Q8830tmHKvagMHnMdEhyMOb6jxaV035n59MrtGbZ2d6mguU+rLebpx3ZucIXRpUs0T7yt7S7nmpA/pGhngnaDiDQUatmmzdrd3DcE12hWoeUF7sh/R2jkZOikyNOB0ZRU/ppJhf9XG3fyvdp3ADj2xZ5K2rJ2t9JMi6TpB3qwCbSg5RZs2NoRXNHocxZvkBFVfOkVj1k3Sm/7Fykx0hn9g7niTj4/km/+iRqy5xRXz4qY3PnHnm7CEI+y7R8+MuEOLM5OcMXexmjd3rs9hBHya/8wIrVmcKZek5//qOa9Hv8c7cqhOSohEeJxScpdrVW5G11/iGVcoXyP7mwDQU9/DG/yndrzcpjk3jlea81UCTz2vd379rNo69+md2f/STWNXqbaVzTIAOFjfwht5Jvi+u1R2VqHumTriuy8ycaGWXHeukjRY6VfN1GzVaOubnzsHAQARfQhvq/xPFmnWa1eo+qGpSj34K5yWrK4974hBQzRsUIs+afmPMwAAiOhdeIN++fKv1ujKM/T0hjxlJvX49E9a1PbtzsL+ffp0f3K4xT9yBgAAEUce3mCdSqdkaVrdL7V9Q4GyvAOdAwepeU5P7mxSKLIVsapE958zU7+9cKhzEAAQcYThDam1brPKdgakncs0PuX4b65c6PqYL1/AuYJu7ClquvcCDRhwumY1XaGaR+ceelYMAHGun37ZpXNNb8PNal6fI68z+kOImusQDblpTlifvrGaN9bn2Og5r5yOAoAxwgsAxvppq8E9+FHpUG6aE9anb6zmjfU5NnrOK2e8AGCM8AKAMcILAMYILwAYI7wAYIzwAoAxwgsAxmLyOl4cyi3LzPr0ncUasj7HzsHrxwso4oCb5oT16RureWN9jo2e8xpz4QUAt2OPFwCMEV4AMEZ4AcAY4QUAY4QXAIwRXgAwRngBwBjhBQBjhBcAjBFeADBGeAHAGOEFAGOEFwCMEV4AMEZ4AcAY4QUAY4QXAIwRXgAwRngBwBjhBQBjhBcAjBFeADBGeAHAGOEFAGOEFwCMEV4AMEZ4AcAY4QUAY4QXAIwRXgAw5ukMc27HBI/H49zCwWJsmYGoFpPhJTLdMSeAu7DVAADGCC8AGCO8AGCM8AKAMcILAMYILwAYI7wAYIzwAoAxwgsAxghvPwg1+TQ3ZbJK61uckZ7aFfAVhY8HnfsA4lmvwhsK1Gl9/uVdL0GNfKTklmtbY6tzND6FAtu0tLBK7RmD1LB6mSr88T0fAL7fkYc35NeT101VwScz9E5bhzo7PtbTqa9o4o2Pqz4Ych4UT0IK+tfr+ks3Kq3gdmWfeYnyiidp74IZKqxtCh8FgMM78vAmpGvO1mY1r89VelL40xJS9atpEzRy50vasWe/86B40qSaJ95X9pZyzUkf0jUywDtBxRsKNGzTZu1u7xoCgEP0wx7vMA09KVHh0z/5um1DrFVd4IDzmFg0XDkldytn1GDn/jcSvBdr4bo8ZYanBAAO5yjC26K3duzU/jnTdXma1LipSNMqM7V9X4c6217Xog9XaOqDu8SOJwB018fwHlCg9iEtLvux1twzWakJCTox+VR5A/Xa+vwW1bedp8U7mtVckqXu54MAgD6EN/Kk0rO6c9YbmlRdrJzUgeGxgUqdukTVm6+SKm/QmJTj5UnJVem2RnEBFQB018vwtqrRt1RTRm9Q6tOPalFmsjMeluBVZvY8lYTPdDvb9qhmkVQ2sUw1gXh9lily7e5y5fv83b/5hAKqK89XOdf0AnGrF+FtUX3pDJ0zrV6/2F6h4qzUgz45cmyyPOOWqzbyhFrSaRo+NFHyDlXyiX3czYh6ifJOvEYXvV6kvIoGtUWGOj5W7dJ5yv/0Mk0/P6nrUQDiz5FXsfVv2lT2cvhGjVaOP10DnKsXPJ405fralDm/VC9c+KrGR7YZPEM0uvIUray+WWMHx2t4w5LSlbOyXLl712hFVYN2r12pZ9JWqfq+CfLG8bQA8Y5fdtkvPpJv/osaseaWw19GFvpAvnnT9KfRD6t68YWyPtf9YeYEwP9CeOMAcwK4Cz/wAoAxwgsAxggvABgjvABgjPACgDHCCwDGCC8AGCO8AGCM8AKAMcILAMZi8iXDOBQvGQbcI+bCCwBux1YDABgjvABgjPACgDHCCwDGCC8AGCO8AGCM8AKAMcILAMYILwAYI7wAYIzwAoAxwgsAxggvABgjvABgjPACgDHCCwDGCC8AGCO8AGCM8AKAMcILAMYILwAYI7wAYIzwAoAxwgsAxggvABgjvABgjPACgDHCCwDGCC8AGCO8AGAs5sLr8XicW/gWcwK4i6czzLkdE4jM4cXYMgNRLSbDS2S6Y04Ad2GPFwCMEV4AMEZ4AcAY4QUAY4QXAIwRXgAwRngBwBjhBQBjhLcfhJp8mpsyWaX1Lc5IT+0K+IrCx4POfQDxjPAepVBgm5YWVqk9Y5AaVi9Thb/VOQLATHtQnwX+rWB7dLxCs4/hbVF96WSlldaHz+XiVUhB/3pdf+lGpRXcruwzL1Fe8STtXTBDhbVN4aMALHR+ulPLJv5Ew0b9US9+eMAZdbc+hLdV/orbNOX2l5378apJNU+8r+wt5ZqTPqRrZIB3goo3FGjYps3aHb/fkQA7nc2qWVmo5TtO0LUP36XpZx3vHHC33oU39IF8c7P1QPJsrf7dSGcwXg1XTsndyhk12Ln/jQTvxVq4Lk+Zic4AgGOkQ1/sqtBd5a8pKftOLZt+to5zjrhdL894B2rE7Ef1UM7IQz8x6Jcv//Kud8KKfKTkrlVdIDpO+wFEoa/+oedKH9cbSVO1YvlVGnVc9LwlbO/Cm+BV5thRSnLufucrNW4q0rTKTG3f16HOtte16MMVmvrgLvFUE4D+97Wat6xT4UufKT3vJs36WfefPN2uD3u8h5OgE5NPlTdQr63Pb1F923lavKNZzSVZiq7pAOBGncH3tOvP1drRuE9d1y18/a5eeeov+uLkmVr2h4s1NMp+/0E/hXegUqcuUfXmq6TKGzQm5Xh5UnJVuq1R8XvlauTa3eXK9/m7z0EooLryfJVzTS9whEL60l+lomuvVNbkAm1670vtr69SedVnOve2XE054wTncdGjn8IbFtmGyJ6nkvCZbmfbHtUsksomlqkmEK9P7yfKO/EaXfR6kfIqGtQWGer4WLVL5yn/08s0/fxDN2wAHE6CksbM07qHb9TZ7z6i3y8sVlnFc3o76UotvPrnGuQ8Kpr0U3i/ua7XM265aiNPqCWdpuFDEyXvUCWf2H9tjzpJ6cpZWa7cvWu0oqpBu9eu1DNpq1R93wR543hagN5L0qhZd2vdnWMVfGmV7nrsLZ189TRdcXY0ZrffwpuszPmleuHCVzU+ss3gGaLRladoZfXNGjs4zguTkKqs4iJlJ36k5ow8PTTn3MM8OQnge3m8GnfHMhVdcHL4zrm6JucieaP0d9vyyy7jAHOC2NGh4EfvaM/nSRr50xFKTozO8hLeOMCcAO7CTiMAGCO8AGCM8AKAMcILAMYILwAYI7wAYIzwAoAxwgsAxggvABiLyVeu4VC8cg1wj5gLLwC4HVsNAGCM8AKAKem/1LHaoiHcCZIAAAAASUVORK5CYII=\"/></p>\n<p><em><br/>Accept <strong>all</strong> 2p electrons pointing downwards.</em></p>\n<p><em>Accept half arrows instead of full arrows.</em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"139\" src=\"data:image/png;base64,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\" width=\"188\"/></p>\n<p>bonds and non-bonding pairs correct ✔</p>\n<p>formal charges correct ✔</p>\n<p> </p>\n<p><em>Accept dots, crosses or lines to represent electron pairs.</em></p>\n<p><em>Do <strong>not</strong> accept resonance structures with delocalised bonds/electrons.</em></p>\n<p><em>Accept + and – sign respectively.</em></p>\n<p><em>Do not accept a bond between nitrogen and hydrogen.</em></p>\n<p><em>For an incorrect Lewis structure, allow ECF for non-zero formal charges.</em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Any three of:</em></p>\n<p>two N-O same length/order ✔<br/>delocalization/resonance ✔</p>\n<p>N-OH longer «than N-O»<br/><em><strong>OR</strong></em><br/>N-OH bond order 1 <em><strong>AND</strong> </em>N-O bond order 1½ ✔</p>\n<p> </p>\n<p><em>Award <strong>[2 max]</strong> if bond strength, rather than bond length discussed.</em></p>\n<p><em>Accept N-O between single and double bond <strong>AND</strong> N-OH single bond.</em></p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>X-ray crystallography ✔</p>\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>HNO<sub>3</sub> + 2H<sub>2</sub>SO<sub>4</sub> <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> NO<sub>2</sub><sup>+</sup> + H<sub>3</sub>O<sup>+</sup> + 2HSO<sub>4</sub><sup>-</sup> ✔</p>\n<p> </p>\n<p><em>Accept “HNO<sub>3</sub> + H<sub>2</sub>SO<sub>4</sub> <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> NO<sub>2</sub><sup>+</sup> + H<sub>2</sub>O + HSO<sub>4</sub><sup>-</sup>”.</em></p>\n<p><em>Accept “HNO<sub>3</sub> + H<sub>2</sub>SO<sub>4</sub> <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> H<sub>2</sub>NO<sub>3</sub><sup>+</sup> + HSO<sub>4</sub><sup>-</sup>” <strong>AND</strong> “H<sub>2</sub>NO<sub>3</sub><sup>+</sup> <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> NO<sub>2</sub><sup>+</sup> + H<sub>2</sub>O”.</em></p>\n<p><em>Accept single arrows instead of equilibrium signs.</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"200\" src=\"data:image/png;base64,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\" width=\"243\"/></p>\n<p> </p>\n<p><em>Accept any of the five structures.</em></p>\n<p><em>Do <strong>not</strong> accept structures missing the positive charge.</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Number of signals</em>: three/3 ✔</p>\n<p><em>Relative areas</em>: 2 : 2 : 1 ✔</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Drawing arrows in the boxes to represent the electron configuration of a nitrogen atom was done extremely well.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Drawing the Lewis structure of HNO<sub>3</sub> was performed extremely poorly with structures that included H bonded to N, no double bond or a combination of single, double and even a triple bond or incorrect structures with dotted lines to reflect resonance. Many did not calculate non-zero formal charges.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Poorly done; some explained relative bond strengths between N and O in HNO<sub>3</sub>, not relative lengths; others included generic answers such as triple bond is shortest, double bond is longer, single longest.</p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A majority could not state the technique to determine length of bonds; answers included NMR, IR, and such instead of X-ray crystallography.</p>\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many had difficulties writing the balanced equation(s) for the formation of the nitronium ion.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Again, many had difficulty drawing the structural formula of the carbocation intermediate produced in the reaction.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Deducing the number of signals in the 1H NMR spectrum of nitrobenzene, which depend on the number of different hydrogen environments, was done poorly. Also, instead of relative areas, the common answer included chemical shift (ppm) values.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
    "topics": [
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "reactivity-3-4-electron-pair-sharing-reactions",
      "structure-1-3-electron-configurations",
      "structure-2-2-the-covalent-model",
      "structure-3-2-functional-groups-classification-of-organic-compounds"
    ]
  },
  {
    "question_id": "22M.2.HL.TZ2.3",
    "Question": "<div class=\"specification\">\n<p>Standard electrode potential values, <em>E</em><sup>⦵</sup>, can be used to predict spontaneity.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Iron(II) is oxidized by bromine.</p>\n<p style=\"text-align:center;\">2Fe<sup>2+</sup> (aq) + Br<sub>2</sub> (l) <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> 2Fe<sup>3+</sup> (aq) + 2Br<sup>−</sup> (aq)</p>\n<p>Calculate the <em>E</em><sup>⦵</sup><sub>cell</sub>, in V, for the reaction using section 24 of the data booklet.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine, giving a reason, if iodine will also oxidize iron(II). </p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Molten zinc chloride undergoes electrolysis in an electrolytic cell at 450 °C.</p>\n<p>Deduce the half-equations for the reaction at each electrode.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p> </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the overall cell reaction including state symbols. Use section 7 of the data booklet.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><msup><mi>E</mi><mo>⦵</mo></msup><mtext>cell</mtext></msub></math> = 1.09 – 0.77 =» 0.32 «V» ✔</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«2Fe<sup>2+</sup> (aq) + <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math><sub>2 </sub>(s) → 2Fe<sup>3+</sup> (aq) + 2<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math><sup>–</sup> (aq) »</p>\n<p>no/non-spontaneous <em><strong>AND</strong> </em><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><msup><mi>E</mi><mover><mtext>O</mtext><mo>¨</mo></mover></msup><mtext>cell</mtext></msub></math> «= 0.54 – 0.77 »= –0.23 «V»/ <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msup><mi>E</mi><mover><mtext>O</mtext><mo>¨</mo></mover></msup><mo>&lt;</mo><mn>0</mn></math><br/><em><strong>OR</strong></em><br/>no <em><strong>AND</strong> </em>reduction potential of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math><sub>2</sub> lower «than Fe3<sup>+</sup> »/ 0.54 &lt;0.77 ✔</p>\n<p> </p>\n<p><em>Accept “standard electrode potential of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>I</mi></math><sub>2</sub> lower /less positive than iron”.</em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Cathode (negative electrode):</p>\n<p>Zn<sup>2+</sup> + 2e<sup>−</sup> → Zn (l) ✔</p>\n<p> </p>\n<p>Anode (positive electrode):</p>\n<p>2Cl<sup>−</sup> → Cl<sub>2</sub> (g) + 2e<sup>−</sup><br/><em><strong>OR</strong></em><br/>Cl<sup>−</sup> → ½ Cl<sub>2</sub> (g) + e<sup>−</sup> ✔</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>ZnCl<sub>2</sub> (l) → Zn (l) + Cl<sub>2</sub> (g)</p>\n<p>balanced equation ✔</p>\n<p>correct state symbols ✔</p>\n<p> </p>\n<p><em>Accept ionic equation.</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Only 50% got this straightforward calculation right, the most common error being to multiply both <em>E</em><sub>0</sub> values by 2, reflecting a lack of practice with this type of exercises.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Only 10% were able to correctly justify the feasibility of the reaction with I<sub>2</sub>; the MS showed the best answer using the E(v) values but also allowed simpler explanations referring to E<sub>0</sub> of iron; even then many candidates wrote Fe<sup>+2</sup> instead of Fe<sup>+3</sup>, understandably perhaps as this was mentioned in the question. However, it also revealed some difficulty in using and understanding data from the <em>E</em><sub>0</sub> table in the data booklet.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>3(bi)/(bii) Answers to both these questions revealed that many candidates struggle to conceptualize the equations that describe electrolysis. The question asked for products of the easiest case of electrolysis, a molten salt. However, many candidates proposed oxidation or reduction equations at both electrodes, or Zn and Cl<sub>2</sub> (with no charge) as the initial species rather than the product; the average mark was 1.2/2 as only 55% answered correctly.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>3(bi)/(bii) Answers to both these questions revealed that many candidates struggle to conceptualize the equations that describe electrolysis. The question asked for products of the easiest case of electrolysis, a molten salt. However, many candidates proposed oxidation or reduction equations at both electrodes, or Zn and Cl<sub>2</sub> (with no charge) as the initial species rather than the product; the average mark was 1.2/2 as only 55% answered correctly.</p>\n<p>The determination of the states proved to be even more difficult, with many stating the ions were aqueous in spite of the fact that the question is clearly about molten zinc chloride. Allowing ECF for the overall equation allowed marks for many candidates, but very few realised that both ionic species in ZnCl<sub>2</sub> were actually liquid (being a molten salt). As a result, correct answers were below 45% and the average mark was 0.9/2.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
    "topics": [
      "structure-2-models-of-bonding-and-structure"
    ],
    "subtopics": [
      "structure-2-2-the-covalent-model"
    ]
  },
  {
    "question_id": "22M.2.HL.TZ2.4",
    "Question": "<div class=\"specification\">\n<p>Hydrogen and iodine react to form hydrogen iodide.</p>\n<p style=\"text-align: center;\">H<sub>2</sub> (g) + <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math><sub>2</sub> (g) <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> 2H<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math> (g)</p>\n</div><div class=\"specification\">\n<p>The following experimental data was obtained.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"specification\">\n<p>Consider the reaction of hydrogen with solid iodine.</p>\n<p style=\"text-align: center;\">H<sub>2</sub> (g) + <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math><sub>2</sub> (s) <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> 2H<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math> (g)     Δ<em>H</em><sup>⦵</sup> = +53.0 kJ mol<sup>−1</sup></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the order of reaction with respect to hydrogen.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the rate expression for the reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the value of the rate constant stating its units.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State <strong>two</strong> conditions necessary for a successful collision between reactants.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the equilibrium constant expression, <em>K</em><sub>c</sub>, for this reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the entropy change of reaction, Δ<em>S</em><sup>⦵</sup>, in J K<sup>−1</sup> mol<sup>−1</sup>.</p>\n<p style=\"text-align:center;\"><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Predict, giving a reason, how the value of the ΔS<sup>⦵</sup><sub>reaction</sub> would be affected if <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mtext>I</mtext><mn>2</mn></msub></math> (g) were used as a reactant.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the Gibbs free energy change, Δ<em>G</em><sup>⦵</sup>, in kJ mol<sup>−1</sup>, for the reaction at 298 K. Use section 1 of the data booklet.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the equilibrium constant, <em>K</em><sub>c</sub>, for this reaction at 298 K. Use your answer to (d)(iii) and sections 1 and 2 of the data booklet.</p>\n<p>(If you did not obtain an answer to (d)(iii) use a value of 2.0 kJ mol<sup>−1</sup>, although this is not the correct answer).</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(iv).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>first order ✔</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Rate=<em>k</em> [H<sub>2</sub>] [<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math><sub>2</sub>]</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>k</mi><mo>=</mo><mo>«</mo><mfrac><mrow><mn>1</mn><mo>.</mo><mn>2</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>6</mn></mrow></msup><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo> </mo><msup><mi mathvariant=\"normal\">s</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow><mrow><mn>2</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>×</mo><mn>3</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow></mfrac><mo>=</mo><mo>»</mo><mn>0</mn><mo>.</mo><mn>20</mn></math> ✔</p>\n<p>mol<sup>–1</sup> dm<sup>3</sup> s<sup>–1</sup> ✔</p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>E</em> ≥ <em>E</em><sub>a</sub> <em><strong>AND</strong> </em>appropriate «collision» geometry/correct orientation ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>K</mi><mi mathvariant=\"normal\">c</mi></msub><mo>=</mo><mfrac><msup><mfenced close=\"]\" open=\"[\"><mi>HI</mi></mfenced><mn>2</mn></msup><mrow><mfenced close=\"]\" open=\"[\"><msub><mi mathvariant=\"normal\">H</mi><mn>2</mn></msub></mfenced><mfenced close=\"]\" open=\"[\"><msub><mi mathvariant=\"normal\">I</mi><mn>2</mn></msub></mfenced></mrow></mfrac></math> ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«Δ<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><msup><mi>S</mi><mo>⦵</mo></msup><mtext>reaction</mtext></msub></math> = 2 × 206.6 – (130.6 + 116.1) =» 166.5 «J K<sup>–1</sup> mol<sup>–1</sup>» ✔</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Δ<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><msup><mi>S</mi><mo>⦵</mo></msup><mtext>reaction</mtext></msub></math> lower/less positive <em><strong>AND</strong> </em>same number of moles of gas</p>\n<p><em><strong>OR</strong></em></p>\n<p>Δ<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><msup><mi>S</mi><mo>⦵</mo></msup><mtext>reaction</mtext></msub></math> lower/less positive <em><strong>AND</strong> </em>a solid has less entropy than a gas ✔</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«Δ<em>G</em><sup>⦵</sup> = 53.0 kJ mol<sup>–1</sup> – (298K × 0.1665 kJ K<sup>–1</sup> mol<sup>–1</sup>) =» 3.4 «kJ mol<sup>–1</sup>» ✔</p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«ln <em>K</em><sub>c</sub>= – (3.4 × 10<sup>3</sup> J mol<sup>–1</sup> /8.31 J K<sup>–1</sup> mol<sup>–1</sup> × 298 K)» = –1.37 ✔</p>\n<p>«<em>K</em><sub>c</sub> =» 0.25 ✔</p>\n<p><em>Award <strong>[2]</strong> for “0.45” for the use of 2.0 kJ mol<sup>–1</sup> for ΔG</em><sup>⦵</sup><em>.</em></p>\n<div class=\"question_part_label\">d(iv).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>4(a)(i)-(iii): Deduction of rate orders and rate expression were very well done overall, with occasional errors in the units of the rate constant, but clearly among the best answered questions.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Generally well answered by all but very weak candidates. Some teachers thought this should be a 2-mark question but actually the marks were generally missed when students mentioned both required conditions but failed to refer the necessary energy to <em>E<sub>a</sub></em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>One of the best answered questions.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>ΔS was well calculated in general except for some inverted calculations or failure to consider the ratios of the reactants.<br/><br/></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Some candidates confused the entropy change in this situation with absolute entropy of a solid and gas, or having realised that entropy would decrease lacked clarity in their explanations and lost the mark.</p>\n<p>4(d)(ii)-(d)(iv): marks were lost due to inconsistency of units throughout, i.e., not because answers were given in different units to those required, but because candidates failed to convert all data to the same unit for calculations.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(iv).</div>\n</div>",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions",
      "reactivity-2-how-much-how-fast-and-how-far"
    ],
    "subtopics": [
      "reactivity-1-4-entropy-and-spontaneity",
      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
      "reactivity-2-3-how-far-the-extent-of-chemical-change"
    ]
  },
  {
    "question_id": "22M.2.HL.TZ2.5",
    "Question": "<div class=\"specification\">\n<p>Iron(II) disulfide, FeS<sub>2</sub>, has been mistaken for gold.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the full electronic configuration of Fe<sup>2+</sup>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why there is a large increase from the 8th to the 9th ionization energy of iron.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the oxidation state of sulfur in iron(II) disulfide, FeS<sub>2</sub>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the bonding in iron, Fe (s).</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>1s<sup>2</sup> 2s<sup>2</sup> 2p<sup>6</sup> 3s<sup>2</sup> 3p<sup>6</sup> 3d<sup>6</sup> ✔</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Any two of:</em></p>\n<p>IE<sub>9</sub>: electron in lower energy level<br/><em><strong>OR</strong></em><br/>IE<sub>9</sub>: more stable/full electron level ✔</p>\n<p><br/>IE<sub>9</sub>: electron closer to nucleus<br/><em><strong>OR</strong></em><br/>IE<sub>9</sub>: electron more tightly held by nucleus ✔</p>\n<p><br/>IE<sub>9</sub>: less shielding by «complete» inner levels ✔</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>–1 ✔</p>\n<p> </p>\n<p><em>Accept “– I”.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>electrostatic attraction/hold between «lattice of» positive ions/cations <em><strong>AND</strong> </em>delocalized «valence» electrons ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Mostly well done which was a pleasant surprise since this is not overly easy, predictably some gave [Ar] 4s<sup>2</sup> 3d<sup>4</sup>.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Despite some confusion regarding which sub-level the electrons were being removed from, many candidates were able to make at least one valid point, commonly in terms of lower energy/ full sub level/closer to nucleus.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was an easy question, yet 30% of the candidates were unable to work it out; some wrote the oxidation state in the conventionally incorrect format, 1- and lost the mark.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates knew the bonding in Fe is metallic but some did not “describe” it or missed the type of attraction, a minor mistake; others referred to nuclei or protons instead of cations/positive ions. In some cases, candidates referred too ionic bonding, probably still thinking of FeS<sub>2</sub> (not reading the question well). Overall, only 30% answered satisfactorily.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
    "topics": [
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "structure-1-3-electron-configurations",
      "structure-2-3-the-metallic-model",
      "structure-3-1-the-periodic-table-classification-of-elements"
    ]
  },
  {
    "question_id": "22M.2.HL.TZ2.6",
    "Question": "<div class=\"specification\">\n<p>Sulfur trioxide is produced from sulfur dioxide.</p>\n<p style=\"text-align: center;\">2SO<sub>2 </sub>(g) + O<sub>2 </sub>(g) <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> 2SO<sub>3 </sub>(g)          Δ<em>H</em> = −196 kJ mol<sup>−1</sup></p>\n</div><div class=\"specification\">\n<p>The reaction between sulfur dioxide and oxygen can be carried out at different temperatures.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline, giving a reason, the effect of a catalyst on a reaction.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>On the axes, sketch Maxwell–Boltzmann energy distribution curves for the reacting species at two temperatures T<sub>1</sub> <strong>and</strong> T<sub>2</sub>, where T<sub>2</sub> &gt; T<sub>1</sub>.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the effect of increasing temperature on the yield of SO<sub>3</sub>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw the Lewis structure of SO<sub>3</sub>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the electron domain geometry of SO<sub>3</sub>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the product formed from the reaction of SO<sub>3</sub> with water.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the meaning of a strong Brønsted–Lowry acid.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>increases rate <em><strong>AND</strong> </em>lower <em>E</em><sub>a</sub> ✔</p>\n<p>provides alternative pathway «with lower <em>E</em><sub>a</sub>»<br/><em><strong>OR</strong></em><br/>more/larger fraction of molecules have the «lower» <em>E</em><sub>a</sub> ✔</p>\n<p> </p>\n<p><em>Accept description of how catalyst lowers E<sub>a</sub> for M2 (e.g. “reactants adsorb on surface «of catalyst»”, “reactant bonds weaken «when adsorbed»”, “helps favorable orientation of molecules”).</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"243\" src=\"data:image/png;base64,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\" width=\"344\"/></p>\n<p>both axes correctly labelled ✔</p>\n<p>peak of T<sub>2</sub> curve lower <em><strong>AND</strong> </em>to the right of T<sub>1</sub> curve ✔</p>\n<p>lines begin at origin <em><strong>AND</strong> </em>correct shape of curves <em><strong>AND</strong> </em>T<sub>2</sub> must finish above T<sub>1</sub> ✔</p>\n<p> </p>\n<p><em>Accept “probability «density» / number of particles / N / fraction” on y-axis.</em></p>\n<p><em>Accept “kinetic E/KE/E<sub>k</sub>” but not just “Energy/E” on x-axis.</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>decrease <em><strong>AND</strong> </em>equilibrium shifts left / favours reverse reaction ✔</p>\n<p>«forward reaction is» exothermic / ΔH is negative ✔</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"112\" src=\"data:image/png;base64,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\" width=\"133\"/>✔</p>\n<p> </p>\n<p><em>Note:</em></p>\n<p><img height=\"244\" src=\"data:image/png;base64,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\" width=\"489\"/></p>\n<p><em>Accept any of the above structures as formal charge is not being assessed.</em></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>three electron domains «attached to the central atom» ✔</p>\n<p>repel/as far away as possible /120° «apart» ✔</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>sulfuric acid/H<sub>2</sub>SO<sub>4</sub> ✔</p>\n<p><em><br/>Accept “disulfuric acid/H<sub>2</sub>S<sub>2</sub>O<sub>7</sub>”.</em></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>fully ionizes/dissociates ✔</p>\n<p>proton/H<sup>+</sup> «donor »✔</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Overall well answered though some answers were directed to explain the specific example rather than the simple and standard definition of the effect of a catalyst.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Few got the 3 marks for this standard question (average mark 1.7), the most common error being incomplete/incorrect labelling of axes, curves beginning above 0 on y-axis or inverted curves.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates got one mark at least, sometimes failing to state the effect on the production of SO<sub>3</sub> though they knew this quite obviously. This failure to read the question properly also resulted in an incorrect prediction based exclusively on kinetics instead of using the information provided to guide their answers.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Drawing the Lewis structure of SO<sub>3</sub> proved to be challenging, with lots of incorrect shapes, lone pair on S, etc.; accepting all resonant structures allowed many candidates to get the mark which was fair considering no formal charge estimation was required.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most were focussed on the shape itself instead of explaining what led them to suggest that shape; number of electron domains allowed most candidates to get one mark and eventually a mention of bond angles resulted in only 35% getting both marks. In general, students were not able to provide clear explanations for the shape (not a language issue) but rather were happy to state the molecular geometry which they knew, but wasn't what was actually required for the mark.</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>6(d)(i)-(ii): These simple questions could be expected to be answered by all HL candidates. However 20% of the candidates suggested hydroxides or hydrogen as products of an aqueous dissolution of sulphur oxide. In the case of the definition of a strong Brønsted-Lowry acid, only 50% got both marks, often failing to define \"strong\" but in other cases defining them as bases even.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(ii).</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "reactivity-2-1-how-much-the-amount-of-chemical-change",
      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
      "reactivity-2-3-how-far-the-extent-of-chemical-change",
      "reactivity-3-1-proton-transfer-reactions",
      "structure-2-2-the-covalent-model",
      "structure-3-1-the-periodic-table-classification-of-elements"
    ]
  },
  {
    "question_id": "22M.2.HL.TZ2.7",
    "Question": "<div class=\"specification\">\n<p>The overall equation for the production of hydrogen cyanide, HCN, is shown below.</p>\n<p style=\"text-align: center;\">CH<sub>4</sub> (g) + NH<sub>3</sub> (g) +<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>3</mn><mn>2</mn></mfrac></math>O<sub>2</sub> (g) → HCN (g) + 3H<sub>2</sub>O (g)</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State why NH<sub>3</sub> is a Lewis base.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the pH of a 1.00 × 10<sup>−2</sup> mol dm<sup>−3</sup> aqueous solution of ammonia.</p>\n<p style=\"text-align:center;\">p<em>K</em><sub>b</sub> = 4.75 at 298 K.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Justify whether a 1.0 dm<sup>3</sup> solution made from 0.10 mol NH<sup>3</sup> and 0.20 mol HCl will form a buffer solution.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Sketch the shape of one sigma (<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>σ</mtext></math>) and one pi (<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi mathvariant=\"normal\">π</mi></math>) bond.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify the number of sigma and pi bonds in HCN.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the hybridization of the carbon atom in HCN.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest why hydrogen chloride, HCl, has a lower boiling point than hydrogen cyanide, HCN.</p>\n<p style=\"text-align:center;\"><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why transition metal cyanide complexes are coloured.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>donates «lone/non-bonding» pair of electrons ✔</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Kb</em> = 10<sup>-4.75</sup> /1.78 x 10<sup>-5</sup><br/><em><strong>OR</strong></em><br/><em>Kb</em> = <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><msup><mfenced close=\"]\" open=\"[\"><msup><mi>OH</mi><mo>-</mo></msup></mfenced><mn>2</mn></msup><mfenced close=\"]\" open=\"[\"><msub><mi>NH</mi><mn>3</mn></msub></mfenced></mfrac></math> ✔</p>\n<p> </p>\n<p>[OH<sup>–</sup>] = « <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msqrt><mfenced><mrow><mn>1</mn><mo>.</mo><mn>00</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>2</mn></mrow></msup><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>4</mn><mo>.</mo><mn>75</mn></mrow></msup></mrow></mfenced></msqrt></math> =» 4.22 × 10<sup>–4</sup> «(mol dm<sup>–3</sup>)» ✔</p>\n<p> </p>\n<p>pOH« = –log<sub>10</sub> (4.22 × 10<sup>–4</sup>)» = 3.37<br/><em><strong>AND</strong></em><br/>pH = «14 – 3.37» = 10.6<br/><em><strong><br/>OR</strong></em><br/><br/>[H<sup>+</sup>]« =<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>1</mn><mo>.</mo><mn>00</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>14</mn></mrow></msup></mrow><mrow><mn>4</mn><mo>.</mo><mn>22</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>4</mn></mrow></msup></mrow></mfrac></math>» = 2.37 × 10<sup>–11</sup><br/><em><strong>AND</strong></em><br/>pH« = –log<sub>10</sub> 2.37 × 10<sup>–11</sup>» = 10.6 ✔</p>\n<p> </p>\n<p><em>Award <strong>[3]</strong> for correct final answer.</em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>no <em><strong>AND</strong> </em>is not a weak acid conjugate base system</p>\n<p><em><strong>OR</strong></em></p>\n<p>no <em><strong>AND</strong> </em>weak base «totally» neutralized/ weak base is not in excess</p>\n<p><em><strong>OR</strong></em></p>\n<p>no <em><strong>AND</strong> </em>will not neutralize small amount of acid ✔</p>\n<p> </p>\n<p><em>Accept “no <strong>AND</strong> contains 0.10 mol NH<sub>4</sub>Cl + 0.10 mol HCl”.</em></p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Sigma (<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>σ</mi></math>):</em></p>\n<p> <img src=\"data:image/png;base64,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\"/></p>\n<p> </p>\n<p><em>Pi (<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>π</mi></math>):</em></p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p> </p>\n<p><em>Accept overlapping p-orbital(s) with both lobes of equal size/shape.</em></p>\n<p><em>Shaded areas are not required in either diagram.</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Sigma (<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>σ</mtext></math>): 2 <em><strong>AND</strong> </em>Pi (<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi mathvariant=\"normal\">π</mi></math>): 2 ✔</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>sp ✔</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>HCN has stronger dipole–dipole attraction ✔</p>\n<p> </p>\n<p><em>Do <strong>not</strong> accept reference to H-bonds.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Any three from:</em></p>\n<p>partially filled d-orbitals ✔</p>\n<p>«CN- causes» d-orbitals «to» split ✔</p>\n<p>light is absorbed as electrons transit to a higher energy level «in d–d transitions»<br/><em><strong>OR</strong></em><br/>light is absorbed as electrons are promoted ✔</p>\n<p>energy gap corresponds to light in the visible region of the spectrum ✔</p>\n<p> </p>\n<p><em>Do <strong>not</strong> accept “colour observed is the complementary colour” for M4.</em></p>\n<div class=\"question_part_label\">d.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>The main error was the omission of lone electron \"pair\", though there was also a worrying amount of very confused answers for a very basic chemistry concept where 40% provided very incorrect answers.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Rather surprisingly, many students got full marks for this multi-step calculation; others went straight to the pH/pKa acid/base equation so lost at least one of the marks: students often seem less prepared for base calculations, as opposed to acid calculations.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Poorly answered revealing little understanding of buffering mechanisms, which is admittedly a difficult topic.</p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This proved to be the most challenging question (10%). It was a good question, where candidates had to explain a huge difference in boiling point of two covalent compounds, requiring solid understanding of change of state where breaking bonds cannot be involved). Yet most considered the triple bonds in HCN as the cause, suggesting covalent bonds break when substance boil, which is very worrying. Others considered H-bonds which at least is an intermolecular force, but shows they are not too familiar with the conditions necessary for H-bonding.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question appears frequently in exams but with slightly different approaches. In general candidates ignore the specific question and give the same answers, failing in this case to describe why complexes are coloured rather than what colour is seen. These answers appear to reveal that many candidates don't really understand this phenomenon, but learn the answer by heart and make mistakes when repeating it, for example, stating that the ‘d-orbitals of the ligands were split’- an obvious misconception. The average mark was 1.6/3, with a MS providing 4 ideas that would merit a mark</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
    "topics": [
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "reactivity-3-1-proton-transfer-reactions",
      "reactivity-3-4-electron-pair-sharing-reactions",
      "structure-2-2-the-covalent-model",
      "structure-3-1-the-periodic-table-classification-of-elements"
    ]
  },
  {
    "question_id": "22M.2.HL.TZ2.8",
    "Question": "<div class=\"specification\">\n<p>Carbon forms many compounds.</p>\n</div><div class=\"specification\">\n<p>C<sub>60</sub> and diamond are allotropes of carbon.</p>\n</div><div class=\"specification\">\n<p>Chlorine reacts with methane.</p>\n<p style=\"text-align: center;\">CH<sub>4</sub> (g) + Cl<sub>2 </sub>(g) → CH<sub>3</sub>Cl (g) + HCl (g)</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline <strong>two</strong> differences between the bonding of carbon atoms in C<sub>60</sub> and diamond.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why C<sub>60</sub> and diamond sublime at different temperatures and pressures.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State two features showing that propane and butane are members of the same homologous series.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe a test and the expected result to indicate the presence of carbon–carbon double bonds.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw the full structural formula of (Z)-but-2-ene.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write the equation for the reaction between but-2-ene and hydrogen bromide.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the type of reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest <strong>two</strong> differences in the <sup>1</sup>H NMR of but-2-ene and the organic product from (d)(ii).</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Predict, giving a reason, the major product of reaction between but-1-ene and steam.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the mechanism of the reaction between 1-bromopropane, CH<sub>3</sub>CH<sub>2</sub>CH<sub>2</sub>Br, and aqueous sodium hydroxide, NaOH (aq), using curly arrows to represent the movement of electron pairs.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the splitting pattern in the <sup>1</sup>H NMR spectrum for 1-bromopropane.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the enthalpy change of the reaction, Δ<em>H</em>, using section 11 of the data booklet.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">f(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw and label an enthalpy level diagram for this reaction.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">f(ii).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Any <strong>two</strong> of:</p>\n<p>C<sub>60</sub> fullerene: bonded to 3 C <em><strong>AND</strong> </em>diamond: bonded to 4 C ✔</p>\n<p>C<sub>60</sub> fullerene: delocalized/resonance <em><strong>AND</strong> </em>diamond: not delocalized / no resonance ✔</p>\n<p>C<sub>60</sub> fullerene: <em>sp<sup>2</sup> <strong>AND</strong> </em>diamond: <em>sp<sup>3 </sup></em>✔</p>\n<p>C<sub>60</sub> fullerene: bond angles between 109–120° <em><strong>AND</strong> </em>diamond: 109° ✔</p>\n<p> </p>\n<p><em>Accept \"bonds in fullerene are shorter/stronger/have higher bond order <strong>OR</strong> bonds in diamond longer/weaker/have lower bond order\".</em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>diamond giant/network covalent <em><strong>AND</strong></em> sublimes at higher temperature ✔</p>\n<p>C<sub>60</sub> molecular/London/dispersion/intermolecular «forces» ✔</p>\n<p> </p>\n<p><em>Accept “diamond has strong covalent bonds <strong>AND</strong> require more energy to break «than intermolecular forces»” for M1.</em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>same general formula / C<sub>n</sub>H<sub>2n+2</sub> ✔</p>\n<p>differ by CH<sub>2</sub>/common structural unit ✔</p>\n<p> </p>\n<p><em>Accept \"similar chemical properties\".</em></p>\n<p><em>Accept “gradation/gradual change in physical properties”.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><strong>ALTERNATIVE 1:</strong></p>\n<p><em>Test:</em></p>\n<p>add bromine «water»/Br<sub>2</sub> (aq) ✔</p>\n<p><em>Result:</em></p>\n<p>«orange/brown/yellow» to colourless/decolourised ✔</p>\n<p><em><br/>Do not accept “clear” for M2.</em></p>\n<p><strong><br/>ALTERNATIVE 2:</strong></p>\n<p><em>Test:</em></p>\n<p>add «acidified» KMnO<sub>4</sub> ✔</p>\n<p><em>Result:</em></p>\n<p>«purple» to colourless/decolourised/brown ✔</p>\n<p><em><br/>Accept “colour change” for M2.</em></p>\n<p><strong><br/>ALTERNATIVE 3:</strong></p>\n<p><em>Test:</em></p>\n<p>add iodine /<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mtext>I</mtext><mn>2</mn></msub></math> ✔</p>\n<p><em>Result:</em></p>\n<p>«brown» to colourless/decolourised ✔<br/><br/></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p> </p>\n<p><em>Accept</em></p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>CH<sub>3</sub>CH=CHCH<sub>3</sub> + HBr (g) → CH<sub>3</sub>CH<sub>2</sub>CHBrCH<sub>3</sub></p>\n<p>Correct reactants ✔</p>\n<p>Correct products  ✔</p>\n<p> </p>\n<p><em>Accept molecular formulas for both reactants and product</em></p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«electrophilic» addition/EA ✔</p>\n<p> </p>\n<p><em>Do <strong>not</strong> accept nucleophilic or free radical addition.</em></p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><strong>ALTERNATIVE 1:</strong> Any two of:</em></p>\n<p>but-2-ene: 2 signals <em><strong>AND</strong> </em>product: 4 signals ✔</p>\n<p>but-2-ene: «area ratio» 3:1/6:2 <em><strong>AND</strong> </em>product: «area ratio» 3:3:2:1 ✔</p>\n<p>product: «has signal at» 3.5-4.4 ppm «and but-2-ene: does not» ✔</p>\n<p>but-2-ene: «has signal at» 4.5-6.0 ppm «and product: does not» ✔</p>\n<p> </p>\n<p><em><strong>ALTERNATIVE 2:</strong></em></p>\n<p>but-2-ene: doublet <em><strong>AND</strong> </em>quartet/multiplet/4 ✔</p>\n<p>product: doublet <em><strong>AND</strong> </em>triplet <em><strong>AND</strong> </em>quintet/5/multiplet <em><strong>AND</strong> </em>sextet/6/multiplet ✔</p>\n<p> </p>\n<p><em>Accept “product «has signal at» 1.3–1.4 ppm «and but-2-ene: does not»”.</em></p>\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>CH<sub>3</sub>CH<sub>2</sub>CH(OH)CH<sub>3</sub> ✔</p>\n<p>«secondary» carbocation/CH<sub>3</sub>CH<sub>2</sub>CH<sup>+</sup>CH<sub>3</sub> more stable ✔</p>\n<p> </p>\n<p><em>Do <strong>not</strong> accept “Markovnikov’s rule” without reference to carbocation stability.</em></p>\n<div class=\"question_part_label\">d(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>curly arrow going from lone pair/negative charge on O in HO<sup>–</sup> to C ✔</p>\n<p>curly arrow showing Br breaking ✔</p>\n<p>representation of transition state showing negative charge, square brackets and partial bonds ✔</p>\n<p>formation of organic product CH<sub>3</sub>CH<sub>2</sub>CH<sub>2</sub>OH <em><strong>AND</strong> </em>Br– ✔</p>\n<p> </p>\n<p><em>Do not allow curly arrow originating on H in HO<sup>–</sup>.</em></p>\n<p><em>Accept curly arrow either going from bond between C and Br to Br in 1-bromopropane or in the transition</em><br/><em>state.</em></p>\n<p><em>Do <strong>not</strong> penalize if HO and Br are not at 180° to each other. </em></p>\n<p><em>Award <strong>[3 max]</strong> for S<sub>N</sub>1 mechanism.</em></p>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>triplet/3 <em><strong>AND</strong> </em>multiplet/6 <em><strong>AND</strong> </em>triplet/3 ✔</p>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>bond breaking: C–H + Cl–Cl / 414 «kJ mol<sup>–1</sup>» + 242 «kJ mol<sup>–1</sup>»/656 «kJ»<br/><em><strong>OR</strong></em><br/>bond breaking: 4C–H + Cl–Cl / 4 × 414 «kJ mol<sup>–1</sup>» + 242 «kJ mol<sup>–1</sup>» / 1898 «kJ» ✔</p>\n<p> </p>\n<p>bond forming: «C–Cl + H–Cl / 324 kJ mol<sup>–1</sup> + 431 kJ mol<sup>–1</sup>» / 755 «kJ»<br/><em><strong>OR</strong></em><br/>bond forming: «3C–H + C–Cl + H–Cl / 3 × 414 «kJ mol<sup>–1</sup>» + 324 «kJ mol<sup>–1</sup>» + 431 kJ mol<sup>–1</sup>» / 1997 «kJ» ✔</p>\n<p> </p>\n<p>«ΔH = bond breaking – bond forming = 656 kJ – 755 kJ» = –99 «kJ» ✔</p>\n<p> </p>\n<p><em>Award <strong>[3]</strong> for correct final answer.</em></p>\n<p><em>Award <strong>[2 max]</strong> for 99 «kJ».</em></p>\n<div class=\"question_part_label\">f(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>reactants at higher enthalpy than products ✔</p>\n<p><br/>ΔH/-99 «kJ» labelled on arrow from reactants to products<br/><em><strong>OR</strong></em><br/>activation energy/<em>E</em><sub>a</sub> labelled on arrow from reactant to top of energy profile ✔</p>\n<p> </p>\n<p><em>Accept a double headed arrow between reactants and products labelled as ΔH for M2.</em></p>\n<div class=\"question_part_label\">f(ii).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>A challenging question, requiring accurate knowledge of the bonding in these allotropes (some referred to graphite, clearly the most familiar allotrope). The most frequent (correct) answer was the difference in number of bonded C atoms and hybridisation in second place. However, only 30% got a mark.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Again, this was a struggle between intermolecular forces and covalent bonds and this proved to be even harder than (a)(i) with only 25% of candidates getting full marks. The distinction between giant covalent/covalent network in diamond and molecular in C60 and hence resultant sublimation points, was rarely explained. There were many general and vague answers given, as well as commonly (incorrectly) stating that intermolecular forces are present in diamond. As another example of insufficient attention to the question itself, many candidates failed to say which would sublime at a higher temperature and so missed even one mark.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This easy question was quite well answered; same/similar physical properties and empirical formula were common errors.</p>\n<p>Candidates misinterpreted the question and mentioned CH3<sup>+</sup>, i.e., the lost fragment; the other very common error was -COOH which shows a complete lack of understanding of MS considering the question is about butane so O should never appear.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Well answered by most, but some basic chemistry was missing when reporting results, perhaps as a result of little practical work due to COVID. A significant number suggested IR spectrometry, very likely because the question followed one on H NMR spectroscopy, thus revealing a failure to read the question properly (which asks for a test). Some teachers felt that adding \"chemical\" would have avoided some confusion.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most were able to draw this isomer correctly, though a noticeable number of students included the Z as an atom in the structural formula, showing they were completely unfamiliar with E/Z notation.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Well done in general and most candidates wrote correct reagents, eventually losing a mark when considering H<sub>2</sub> to be a product alongside 2-bromobutane.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Very well answered, some mentioned halogenation which is a different reaction.</p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A considerable number of students (40%) got at least 1 mark here, but marks were low (average mark 0.9/2). Common errors were predicting 3 peaks, rather than 4 for 2 -bromobutane and vague / unspecific answers, such as ‘different shifts’ or ‘different intensities’. It is surprising that more did not use H NMR data from the booklet; they were not directed to the section as is generally done in this type of question to allow for more general answers regarding all information that can be obtained from an H NMR spectrum.</p>\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Product was correctly predicted by many, but most used Markovnikov's Rule to justify this, failing to mention the stability of the secondary carbocation, i.e., the chemistry behind the rule.</p>\n<div class=\"question_part_label\">d(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>As usual, good to excellent candidates (47.5%) were able to get 3/4 marks for this mechanism, while most lost marks for carelessness in drawing arrows and bond connectivity, issues with the lone pair or negative charge on the nucleophile, no negative charge on transition state, or incorrect haloalkane. The average mark was thus 1.9/4.</p>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Another of the very poorly answered questions where most candidates (90%) failed to predict 3 peaks and when they did, considered there would be a quartet instead of multiplet/sextet; other candidates seemed to have no idea at all. This is strange because the compound is relatively simple and while some teachers considered that predicting a sextet may be beyond the current curriculum or just too difficult, they could refer to a multiplet; a quartet is clearly incorrect.</p>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Only the very weak candidates were unable to calculate the enthalpy change correctly, eventually missing 1 mark for inverted calculations.</p>\n<div class=\"question_part_label\">f(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates drew correct energy profiles, consistent with the sign of the energy change calculated in the previous question. And again, only very weak candidate failed to get at least 1 mark for correct profiles.</p>\n<div class=\"question_part_label\">f(ii).</div>\n</div>",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions",
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter",
      "tools"
    ],
    "subtopics": [
      "reactivity-1-2-energy-cycles-in-reactions",
      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
      "reactivity-3-4-electron-pair-sharing-reactions",
      "structure-1-1-introduction-to-the-particulate-nature-of-matter",
      "structure-2-2-the-covalent-model",
      "structure-3-2-functional-groups-classification-of-organic-compounds",
      "tool-1-experimental-techniques"
    ]
  },
  {
    "question_id": "22M.2.SL.TZ1.1",
    "Question": "<div class=\"specification\">\n<p>When heated in air, magnesium ribbon reacts with oxygen to form magnesium oxide.</p>\n</div><div class=\"specification\">\n<p>The reaction in (a)(i) was carried out in a crucible with a lid and the following data was recorded:</p>\n<p style=\"text-align: right;\">Mass of crucible and lid = 47.372 ±0.001 g</p>\n<p style=\"text-align: right;\">Mass of crucible, lid and magnesium ribbon before heating = 53.726 ±0.001 g</p>\n<p style=\"text-align: right;\">Mass of crucible, lid and product after heating = 56.941 ±0.001 g</p>\n<p style=\"text-align: left;\"> </p>\n</div><div class=\"specification\">\n<p>When magnesium is burnt in air, some of it reacts with nitrogen to form magnesium nitride according to the equation:</p>\n<p style=\"text-align: center;\">3 Mg (s) + N<sub>2 </sub>(g) → Mg<sub>3</sub>N<sub>2 </sub>(s)</p>\n</div><div class=\"specification\">\n<p>The presence of magnesium nitride can be demonstrated by adding water to the product. It is hydrolysed to form magnesium hydroxide and ammonia.</p>\n</div><div class=\"specification\">\n<p>Most nitride ions are <sup>14</sup>N<sup>3–</sup>.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write a balanced equation for the reaction that occurs.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the block of the periodic table in which magnesium is located.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify a metal, in the same period as magnesium, that does <strong>not</strong> form a basic oxide.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the amount of magnesium, in mol, that was used.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the percentage uncertainty of the mass of product after heating.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Assume the reaction in (a)(i) is the only one occurring and it goes to completion, but some product has been lost from the crucible. Deduce the percentage yield of magnesium oxide in the crucible.</p>\n<p> </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Evaluate whether this, rather than the loss of product, could explain the yield found in (b)(iii).</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest an explanation, other than product being lost from the crucible or reacting with nitrogen, that could explain the yield found in (b)(iii).</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate coefficients that balance the equation for the following reaction.</p>\n<p style=\"text-align:center;\">__ Mg<sub>3</sub>N<sub>2 </sub>(s) + __ H<sub>2</sub>O (l) → __ Mg(OH)<sub>2 </sub>(s) + __ NH<sub>3 </sub>(aq)</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the oxidation state of nitrogen in Mg<sub>3</sub>N<sub>2</sub> and in NH<sub>3</sub>.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce, giving reasons, whether the reaction of magnesium nitride with water is an acid–base reaction, a redox reaction, neither or both.</p>\n<p><img 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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the number of subatomic particles in this ion.</p>\n<p><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAtYAAACPCAYAAADeDpzQAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAABFISURBVHhe7d1/bNR1nsfxl00Xia29Wg/aIDsWkHTbCjfWtmdccwd6Hg1Kd7Q5F6P2BhkJYiNXPW0oG2KI0sVzmS2yyrGoDT+iEstN4CQi4YfGNWzbnW3QDutVsI7YTFG7vdpW5Jrxvt/pt6VQCggfsUOfj+Qbv/P9fr6f7+f7jX+8+PD+frjsO4sAAAAAXJAE578AAAAALgDBGgAAADCAYA0AAAAYQLAGAAAADDjp40WXa6KzBwAAAOBMwuEjzl6fIauC2OH61EYAAAAATjhdZqYUBAAAADCAYA0AAAAYQLAGAAAADCBYAwAAAAYQrAEAAAADCNYAAACAAQRrAAAAwACCNQAAAGAAwRoAAAAwgGANAAAAGECwBgAAAAwgWAMAAAAGEKwBAAAAAwjWAAAAgAEEawAAAMAAgjUAAABgAMEaAAAAMCAug3VvcJXcrolyDdkK5fPvUnNX1Gl5/qKRoHYEI7rwngAAADAaxPGMda7KA39ROHzE2cIK7a5U+s4yFVe9q06n1XnpDaq6qFiV77QSrAEAAHBOLqFSkAQlTy2Sd26+urfuUbCTSAwAAICL59KusY4E5HMVyuv7pbJjpSL3qab5mF3noeDGpSrqLyHJni9/IKiIncV7g/LnF8vfLrX7izXZvUrBXvuSem1cOmeg7CTbt0qBgVKRXutWZX39vDyo36JlCjT3z51H1dW8S35f4aA+Vmv3wPnPFPBNl8u5HwAAAOLLJRSs7eD6lmpe+0A5C+YoP6X/0Vq158jPtTn0seq2VapoyjEFqx+WZ0VEs2sb1BI+rLoNBWpacq+81fXqSsxTecM2ladJaeXbdLjxMeUdq1e1936taLtDtXWHFW5p0IbpTVrieVjVwQ7nPpbu97TzUIGeD4UVDv2XyvW6Hn18q5rt9N35rqqKy7RzQpXqWo5Y53eqQps0r/+8firP+gMK2/dLtH8DAAAgnsRxsG6S3/Ozgdlfl8ulnNtekuau1vMP3ahkp5WUJPfcWXInj1WGO1cZXY2qXReSu+JJlRVkWC9gjDIKvKqoyFdo3XY1DCkhiaqzYbvWhfKtNl4VZIyx3lqGCsqeVIU7pHW1jYPqufM111ukqcnWa02epjvn5kuNDWo62iv1dKit22pyVYrs00rOlXd9ncLbvJp6Cf3xBgAAYLSK40h36seL9rZdz3hn9AXbAZdrfOoVAw/a+3FQb3Znaub0awY9/BilZ05RUvchtbQdd47169HHf/6jutNu1PRJY51jloSrlTltnLo/aFHbQBa/SqlX9k83J+rK1KucfUvGrXpi+Ux96r9LObHVS15TYLtTfgIAAIC4x1xpTFQ9He2yJ5TP3TfqaPs+a4+kKMu7VgdDe7VhdaVma5eWPFKswtlPa1/k1DAPAACAeDPqgnXidXm6I6lFew987nx4aOvV1x1/lZKmKDN9jHOs3xW67oa/V1L7n3Tgk2POMUu0Rx1Hv1XStEylf5+3mDxVMzwe3V3+kpp2Py13aIs27W9zTgIAACBejb4Z6xS3ShbkqHHls1pTb6/qcVyR+hqtXNlw4qPHxHGalJ+mb7/sVI/1ilLy52hBToPVpkb19uxyNKL6Nc9qZWOOFpS4leJ0fSbR1oAWZhfKt/p9p/yjU81/2K9mTdMtueNibQAAABC/RmEpSKryFr+oQGWGdpTkK9M1WYWl9cqtelU1iwucjx7TddP99+jajffreleZAl03aHHNJlWmv6mSwslyZear9ECuqgIvanFeauyKs0mYMFtPbV6s9B3zVJhpf2yZo9tfu1qVgd+odKpdu21qub1z6Ce2DOFEuf1Bnb6Js3yga5b8wS7n2KlM3IexDnW2+1ys573Exjpi/j9irEONtrHyvEMw1qEYa9y67DuLsx9jr7BhfwgIAAAA4PROl5lH4Yw1AAAAYB7BGgAAADCAYA0AAAAYQLAGAAAADCBYAwAAAAYQrAEAAAADCNYAAACAAQRrAAAAwACCNQAAAGAAwRoAAAAwgGANAAAAGECwBgAAAAwgWAMAAAAGEKwBAAAAAwjWAAAAgAEEawAAAMAAgjUAAABgAMEaAAAAMIBgDQAAABhAsAYAAAAMIFgDAAAABhCsAQAAAAMI1gAAAIABBGsAAADAAII1AAAAYEBcBuve4Cq5XVkq8teryzk2IBKQzzVL/uCQMxcmGlFwR1CRqPMbAAAAGCSOZ6y7FfKv0O+DHc7vH1KXgtX/Kk/lPrUSrAEAAHAacV4KUi9/5QYFu0i7AAAA+HHFcbDO0gPlDyon9DtV/v5PQ0tCBolGggr45yvbNVEueytaqo3BiPrieK8igTLreJkCkd7YkZOPdSjoL5HH3yS1r5Jnsl1mclAB33Rle+fLm233maXimo+s/o4rEtyspUVZffdxFcrnDygYOe70+1nfdb7/0MtL5zhtslS0NKDm/j8cdDVr9+CxZs+Xf3fzieeLlbpMlNsftEYJAACAkSKOg3Wi/vYfH9KK8pwzl4R01avae6+WNM1QIBRWOBzSrrlfaYXnYVWfUxlJsvLKaxUoz5XSHlPg8E6V5yXHznTvadffbf5QLXVbtbzoWvUE18rrqVbb7FdU13LEOv5bTW9aIY937Umz6t1vv6tDBc8pFA4rFHhE2lihx99otoL5l9pXNU/zdk7Si3WH+8Za8ROtm/eU3mg+1ndxhkfrw0fUWJ5nvQEAAACMFHFeCnKV8h6qVHlOaJiSkKg6G7ZrXShfFRX/oqxk+3FTlFVargp3SOtqG9XZ1/D8uH+hO92pSsjIlTujSw21WxRyL1JF2c3KsG6VkHGzyioWyR3aotqGducii7tE3uIsK7InKNk9S3PdUuN7B3VU36ijzR5RilKS7dhsjdUK5QfDm+WdOjZ2KQAAAEamOA/WluQb9dCKR4YpCTmutpZD6tY7WnbbdU7phbVl3qZljd3qbutQj9PyvIxP1ZX9b7A3rD+/2aK0mdM1adBbTUjP1LSkL/RBy1dO6Yll8HUJVyh1/OXOj2v0T088oX/+9Fl5clzK9q3S1sBbg0pJAAAAMFLFf7C2Z33zSk+UhOw/6hwfJOlBbfjQLgM5cvK23qMMp8kPpqdDbd3O/llZz5L1gNYfDGn3hhdVNVvascQnT2GJlu1rPRHMAQAAMOJcAsHalnqiJOTR5XrbOSqNUXrmFCV179Gu4KBSjLM6ptZPmp39c5To0g13ZKp97wF9MigBR7/u0FGN07TMq7/Hy07R1Blz5Ln7Ma1v2q3l7v9RzaY6qx8AAACMVJdIsLb0l4Q4P/skKCV/jhbkfKGNv16rfbGSiuOK1K+VL7t/JY8EXZGapiTV6b/f+khdsfOb9MK6pr4uYsZqwqSp0rcd6uwZbt44Tfkl9yin8QWtXPN+7B+SiUbe15qVL6gx5x6V5Kc57c4gGlZgYaGyfWtVHxtrVF3NdXrPyvjuW7I1vq8VAAAARqBLJ1hbj9JXElLg/HYkF2hxzSY9c+MfVVo4WS7XZBWW1iu36lWtK82yrrLC9z8s0uZnbteRZbOUY52f+Z9f6+a7b3A6sCVq/E13yXvt6yq93i1f4FPn+GD2/ReqJrBY6TvmqTBzojIL/00HcisVqFmovNiHk2eR4FLxU79TZfqbKomN1aWc27covXKTM1aLieX2ztpH/3KDZ/oXLPuWDnS5Vyk43EDOeh8TfYy2sV6s52WsQzHWIS7K81oY6yni6Xkv0jtjrENdUmONH5d9Z3H2Y+yP++z6YwAAAACnd7rMfAnNWAMAAAA/HoI1AAAAYADBGgAAADCAYA0AAAAYQLAGAAAADCBYAwAAAAYQrAEAAAADCNYAAACAAQRrAAAAwACCNQAAAGAAwRoAAAAwgGANAAAAGECwBgAAAAwgWAMAAAAGEKwBAAAAAwjWAAAAgAEEawAAAMAAgjUAAABgAMEaAAAAMIBgDQAAABhAsAYAAAAMIFgDAAAABhCsAQAAAAMI1gAAAIABBGsAAADAgLgM1r3BVXK7Jso13OYLKGI3jATkc02XL/BZ7DoTopGgdgQjijq/AQAAAFscz1jnqjzwF4XDR4Zu6z3KcFoZ1RtUdVGxKt9pJVgDAADgJJSCAAAAAAaMsmB9XJFgQH5foVM2kqWipZsVjBx3zlu6mrXbP1/ZTllJtm+1djd3xmar/fnF8rdL7f5iTXavUvAzu9SkUF7fL53296mm+ZhdL6LgxqUqcvpwZc+XPxBUpH+aO1aiUiiff42WFmU5Y5mjpYGP1BVrELWGsWvQOAeNI6bX6qLMOj5L/mDfFQAAAPhxjaJgbYXV4Fp5PSvUdMsrCtklI6GtmttWLY93rYJdVuqNhhX49/s0b12yqvYfts7vVIU2aV7xc9rX41Z5wzaVp0lp5dt0uPEx5f3E7rdVe478XJtDH6tuW6WKphxTsPpheVZENLu2QS3hw6rbUKCmJffKW13vBGdbq97eeVQFz9crHP5QgfJEbXx0ud6wg3nnu6oqLtPOCVWqa7HH6Yzj8a1qjoXzRGV41ljX7VR5XnKsNwAAAPy44jhYN8nv+dnAjO6JbbhZ3HY11G5RyL1IFaW5isXR5FyVViySO7RFtQ3tih7ao5d3/K/c1rHiCWNi573r6xQ+uFwzUoZ7VUlyz50ld/JYZbhzldHVqNp1IauPJ1VWkGG94DHKKPCqoiJfoXXb1dDZP21tX3efiqemWPupct/5C7n1gd5r+kLq6VBbt3X4qhQl27ftH8c2r6aOsr9jAAAAiBdxHNOG+3hxmFnc6Fdq+cAKrY2/0m2ZJ4J45m2/UqM61dbxjaJftyusyzU+9Yrv8WJObt/7cVBvdmdq5vRrBvUxRumZU5TUfUgtbf1lJydfl3BlqsY7+8q4VU8sn6lP/XcpJ1Yy8poC2weVkgAAAGDEieNgfX6SHtikD4eE8QNa7/mp0+KHEFVPR7vsSehzk6Is71odDO3VhtWVmq1dWvJIsQpnP619g+vBAQAAMGKMnmCdcLUyp41T99Y9Cg6UY5ws4co0ufStjnb0nPdyeonX5emOpBbtPfD5oD569XXHX61UP0WZ6WOcY+cgeapmeDy6u/wlNe1+Olaysml/m3MSAAAAI8komrFOU37JPcrpfl2/fm5vX1lFNKL61fYKIH2reSRMuVUPzv4bNa58Qdtaj1vnW7Vv2RwNrPaROE6T8tP07Zed6unrdKgUt0oW5Fh9PKs19fY/JHNckfoarVzZoJwFc5Q/bK32CdHWgBZmF8q3+n2n/KNTzX/Yr2ZN0y2542JtAAAAMLLEcbAe7uNFa7OXwut1mg1IUHLeQtUElunGukUqtOusM/NVeiBXVYHfqHTqWKuJS57nNuuVBV1actNk63yhSuum65n+80rXTfffo2s33q/rXWUKfP5/fV2fJFV5i19UoDJDO0rylemarMLSeuVWvaqaxQV9H02eRcKE2Xpq82Kl75jXN05Xjm5/7WpVDozjApfbiy33N1Fuf9Dq6XTOpf/PFPBNH+ZdO856HxN9mBjrxXpexjqUibGOlOe1MNZTjLaxXqznZaxDMdYhLsrzWi7KWOPHZd9ZnP0YO5jadccAAAAATu90mXnUfbwIAAAA/BAI1gAAAIABBGsAAADAAII1AAAAYADBGgAAADCAYA0AAAAYQLAGAAAADCBYAwAAAAYQrAEAAAADCNYAAACAAQRrAAAAwACCNQAAAGAAwRoAAAAwgGANAAAAGECwBgAAAAwgWAMAAAAGEKwBAAAAAwjWAAAAgAEEawAAAMAAgjUAAABgAMEaAAAAMIBgDQAAABhAsAYAAAAMIFgDAAAABhCsAQAAAAMI1gAAAIABBGsAAADAAII1AAAAYMBl31mcfblcE509AAAAAGcSDh9x9vqcFKwBAAAAnB9KQQAAAAADCNYAAACAAQRrAAAA4IJJ/w+IQzgWc/dNKgAAAABJRU5ErkJggg==\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Some nitride ions are <sup>15</sup>N<sup>3–</sup>. State the term that describes the relationship between <sup>14</sup>N<sup>3–</sup> and <sup>15</sup>N<sup>3–</sup>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The nitride ion and the magnesium ion are isoelectronic (they have the same electron configuration). Determine, giving a reason, which has the greater ionic radius.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest <strong>two</strong> reasons why atoms are no longer regarded as the indivisible units of matter.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the types of bonding in magnesium, oxygen and magnesium oxide, and how the valence electrons produce these types of bonding.</p>\n<p><img height=\"367\" 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\" width=\"644\"/></p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">g.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>2 Mg(s) + O<sub>2</sub>(g) → 2 MgO(s) ✔</p>\n<p><em><br/>Do not accept equilibrium arrows. Ignore state symbols</em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>s ✔</p>\n<p><em><br/>Do not allow group 2</em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>aluminium/Al ✔</p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⟨</mo><mo>⟨</mo><mfrac><mrow><mn>53</mn><mo>.</mo><mn>726</mn><mo> </mo><mi mathvariant=\"normal\">g</mi><mo>-</mo><mn>47</mn><mo>.</mo><mn>372</mn><mo> </mo><mi mathvariant=\"normal\">g</mi></mrow><mrow><mn>244</mn><mo>.</mo><mn>31</mn><mo> </mo><mi mathvariant=\"normal\">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></mfrac><mo>=</mo><mfrac><mrow><mn>6</mn><mo>.</mo><mn>354</mn><mo> </mo><mi mathvariant=\"normal\">g</mi></mrow><mrow><mn>24</mn><mo>.</mo><mn>31</mn><mo> </mo><mi mathvariant=\"normal\">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></mfrac><mo>⟩</mo><mo>⟩</mo><mo>=</mo><mn>0</mn><mo>.</mo><mn>2614</mn><mo> </mo></math> «mol» ✔</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>mass of product <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mo>=</mo><mn>56</mn><mo>.</mo><mn>941</mn><mo> </mo><mi mathvariant=\"normal\">g</mi><mo>-</mo><mn>47</mn><mo>.</mo><mn>372</mn><mo> </mo><mi mathvariant=\"normal\">g</mi><mo>»</mo><mo>=</mo><mn>9</mn><mo>.</mo><mn>569</mn><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">g</mi><mo>»</mo></math> ✔</p>\n<p><math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>⟨⟨100 × </mtext><mfrac><mrow><mn>2</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>001</mn><mo> </mo><mi mathvariant=\"normal\">g</mi></mrow><mrow><mn>9</mn><mo>.</mo><mn>569</mn><mo> </mo><mi mathvariant=\"normal\">g</mi></mrow></mfrac><mtext>=0.0209⟩⟩ = 0.02 «%»</mtext></math> ✔</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> for correct final answer </em></p>\n<p><em>Accept 0.021%</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⟨</mo><mo>⟨</mo><mo> </mo><mn>0</mn><mo>.</mo><mn>2614</mn><mo> </mo><mi>mol</mi><mo> </mo><mo>×</mo><mo> </mo><mo>(</mo><mn>24</mn><mo>.</mo><mn>31</mn><mo> </mo><mi mathvariant=\"normal\">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>+</mo><mn>16</mn><mo>.</mo><mn>00</mn><mo> </mo><mi mathvariant=\"normal\">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>)</mo><mo>=</mo><mn>0</mn><mo>.</mo><mn>2614</mn><mo> </mo><mi>mol</mi><mo>×</mo><mn>40</mn><mo>.</mo><mn>31</mn><mo> </mo><mi mathvariant=\"normal\">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>⟩</mo><mo>⟩</mo><mo>=</mo><mn>10</mn><mo>.</mo><mn>536</mn><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">g</mi><mo>»</mo></math> ✔</p>\n<p><math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⟨</mo><mo>⟨</mo><mn>100</mn><mo>×</mo><mfrac><mrow><mn>9</mn><mo>.</mo><mn>569</mn><mo> </mo><mi mathvariant=\"normal\">g</mi></mrow><mrow><mn>10</mn><mo>.</mo><mn>536</mn><mo> </mo><mi mathvariant=\"normal\">g</mi></mrow></mfrac><mo>=</mo><mo> </mo><mn>90</mn><mo>.</mo><mn>822</mn><mo>⟩</mo><mo>⟩</mo><mo>=</mo><mn>91</mn><mo> </mo><mo>«</mo><mo>%</mo><mo>»</mo></math> ✔</p>\n<p> </p>\n<p><em>Award «0.2614 mol x 40.31 g mol<sup>–1</sup>»</em></p>\n<p><em>Accept alternative methods to arrive at the correct answer.</em></p>\n<p><em>Accept final answers in the range 91-92%</em></p>\n<p><em><strong>[2]</strong> for correct final answer.</em></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>yes<br/><em><strong>AND</strong></em><br/>«each Mg combines with <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mstyle displaystyle=\"false\"><mfrac bevelled=\"true\"><mn>2</mn><mn>3</mn></mfrac></mstyle></math> N, so» mass increase would be 14x<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mstyle displaystyle=\"false\"><mfrac bevelled=\"true\"><mn>2</mn><mn>3</mn></mfrac></mstyle></math> which is less than expected increase of 16x<br/><em><strong>OR</strong></em><br/>3 mol Mg would form 101g of Mg<sub>3</sub>N<sub>2</sub> but would form 3 x MgO = 121 g of MgO<br/><em><strong>OR</strong></em><br/>0.2614 mol forms 10.536 g of MgO, but would form 8.796 g of Mg<sub>3</sub>N<sub>2</sub> ✔</p>\n<p> </p>\n<p><em>Accept Yes <strong>AND</strong> “the mass of N/N<sub>2</sub> that combines with each g/mole of Mg is lower than that of O/O<sub>2</sub>”</em></p>\n<p><em>Accept YES<strong> AND</strong> “molar mass of nitrogen less than of oxygen”.</em></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>incomplete reaction<br/><em><strong>OR</strong></em><br/>Mg was partially oxidised already<br/><em><strong>OR</strong></em><br/>impurity present that evaporated/did not react ✔</p>\n<p> </p>\n<p><em>Accept “crucible weighed before fully cooled”.</em></p>\n<p><em>Accept answers relating to a higher atomic mass impurity consuming less O/O<sub>2</sub>.</em></p>\n<p><em>Accept “non-stoichiometric compounds formed”.</em></p>\n<p><em>Do <strong>not</strong> accept \"human error\", \"wrongly calibrated balance\" or other non-chemical reasons.</em></p>\n<p><em>If answer to (b)(iii) is &gt;100%, accept appropriate reasons, such as product absorbed moisture before being weighed.</em></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«1» Mg<sub>3</sub>N<sub>2 </sub>(s) + <strong>6</strong> H<sub>2</sub>O (l) → <strong>3</strong> Mg(OH)<sub>2 </sub>(s) + <strong>2</strong> NH<sub>3 </sub>(aq)</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Mg<sub>3</sub>N<sub>2</sub>: -3</em><br/><strong><em>AND</em></strong><br/><em>NH<sub>3</sub>: -3 ✔</em></p>\n<p><em><br/>Do not accept 3 or 3-</em></p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Acid–base:</em><br/>yes <strong>AND</strong> N<sup>3-</sup> accepts H<sup>+</sup>/donates electron pair«s»<br/><strong><em>OR</em></strong><br/>yes <strong>AND</strong> H<sub>2</sub>O loses H<sup>+</sup> «to form OH<sup>-</sup>»/accepts electron pair«s» ✔</p>\n<p><em>Redox:</em><br/>no <strong>AND</strong> no oxidation states change ✔</p>\n<p> </p>\n<p><em>Accept “yes <strong>AND</strong> proton transfer takes place”</em></p>\n<p><em>Accept reference to the oxidation state of specific elements not changing.</em></p>\n<p><em>Accept “not redox as no electrons gained/lost”.</em></p>\n<p><em>Award <strong>[1 max]</strong> for Acid–base: yes <strong>AND</strong> Redox: no without correct reasons, if no other mark has been awarded</em></p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Protons</em>: 7 <em><strong>AND</strong> Neutrons</em>: 7 <em><strong>AND</strong> Electrons</em>: 10 ✔</p>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"text-decoration:underline;\">isotope</span>«s» ✔</p>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>nitride <em><strong>AND</strong> </em>smaller nuclear charge/number of protons/atomic number ✔</p>\n<div class=\"question_part_label\">e(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Any two of:</em><br/><br/>subatomic particles «discovered»<br/><em><strong>OR</strong></em><br/>particles smaller/with masses less than atoms «discovered»<br/><em><strong>OR</strong></em><br/>«existence of» isotopes «same number of protons, different number of neutrons» ✔</p>\n<p><br/>charged particles obtained from «neutral» atoms<br/><em><strong>OR</strong></em><br/>atoms can gain or lose electrons «and become charged» ✔</p>\n<p><br/>atom «discovered» to have structure ✔</p>\n<p><br/>fission<br/><em><strong>OR</strong></em><br/>atoms can be split ✔</p>\n<p> </p>\n<p><em>Accept atoms can undergo fusion «to produce heavier atoms»</em></p>\n<p><em>Accept specific examples of particles.</em></p>\n<p><em>Award <strong>[2]</strong> for “atom shown to have a nucleus with electrons around it” as both M1 and M3.</em></p>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p><em><br/>Award <strong>[1]</strong> for all bonding types correct.</em></p>\n<p><em>Award <strong>[1]</strong> for <strong>each</strong> correct description.</em></p>\n<p><em>Apply ECF for M2 only once.</em></p>\n<div class=\"question_part_label\">g.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was not as well done as one might have expected with the most common errors being O instead of O<sub>2</sub> oxygen and MgO rather than MgO<sub>2</sub>.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many students did not know what \"block\" meant, and often guessed group 2 etc.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many students confused \"period\" and \"group\" and also many did not read metal, so aluminium was not chosen by the majority.</p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A number of students were not able to interpret the results and hence find the gain in mass and calculate the moles correctly.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Only a handful could work out the correct answer. Most had no real idea and quite a lot of blank responses. There also seems to be significant confusion between \"percent uncertainty\" and \"percent error\".</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was not well answered, but definitely better than the previous question with quite a few gaining some credit for correctly determining the theoretical yield.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This proved to be a very difficult question to answer in the quantitative manner required, with hardly any correct responses.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Quite a few students realised that incomplete reaction would lead to this, but only 30% of students gave a correct answer rather than a non-specific guess, such as \"misread balance\" or \"impurities\".</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was generally very well done with almost all candidates being able to determine the correct coefficients.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>About 40% of students managed to correctly determine both the oxidation states, as -3, with errors being about equally divided between the two compounds.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Probably only about 10% could explain why this was an acid-base reaction. Rather more made valid deductions about redox, based on their answer to the previous question.</p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates could answer the question about subatomic particles correctly.</p>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Identification of isotopes was answered correctly by most students.</p>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In spite of being given the meaning of \"isoelectronic\", many candidates talked about the differing number of electrons and only about 30% could correctly analyse the situation in terms of nuclear charge.</p>\n<div class=\"question_part_label\">e(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The question was marked quite leniently so that the majority of candidates gained at least one of the marks by mentioning a subatomic particle. A significant number read \"indivisible\" as \"invisible\" however.</p>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>About a quarter of the students gained full marks and probably a similar number gained no marks. Metallic bonding was the type that seemed least easily recognised and least easily described. Another common error was to explain ionic bonding in terms of attraction of ions rather than describing electron transfer.</p>\n<div class=\"question_part_label\">g.</div>\n</div>",
    "topics": [
      "empty-topic",
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter",
      "tools"
    ],
    "subtopics": [
      "reactivity-2-1-how-much-the-amount-of-chemical-change",
      "reactivity-3-1-proton-transfer-reactions",
      "reactivity-3-2-electron-transfer-reactions",
      "structure-1-2-the-nuclear-atom",
      "structure-1-3-electron-configurations",
      "structure-2-1-the-ionic-model",
      "structure-2-2-the-covalent-model",
      "structure-2-3-the-metallic-model",
      "structure-3-1-the-periodic-table-classification-of-elements",
      "tool-1-experimental-techniques",
      "tool-3-mathematics"
    ]
  },
  {
    "question_id": "22M.2.SL.TZ1.3",
    "Question": "<div class=\"specification\">\n<p>Magnesium is a reactive metal often found in alloys.</p>\n</div><div class=\"specification\">\n<p>Organomagnesium compounds can react with carbonyl compounds. One overall equation is:</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n</div><div class=\"specification\">\n<p>Compound B can also be prepared by reacting an alkene with water.</p>\n</div><div class=\"specification\">\n<p>Iodomethane is used to prepare CH<sub>3</sub>Mg<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math>. It can also be converted into methanol:</p>\n<p style=\"text-align: center;\">CH<sub>3</sub><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math> + HO<sup>–</sup> → CH<sub>3</sub>OH + <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math><sup>–</sup></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Magnesium can be produced by the electrolysis of molten magnesium chloride.</p>\n<p>Write the half-equation for the formation of magnesium.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest an experiment that shows that magnesium is more reactive than zinc, giving the observation that would confirm this.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the name of Compound A, applying International Union of Pure and Applied Chemistry (IUPAC) rules.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify the strongest force between the molecules of Compound B.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw the structural formula of the alkene required.</p>\n<p style=\"text-align:left;\"><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the structural formula of the repeating unit of the polymer formed from this alkene.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce what would be observed when Compound B is warmed with acidified aqueous potassium dichromate (VI).</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify the type of reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">f(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the requirements for a collision between reactants to yield products.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">f(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The polarity of the carbon–halogen bond, C–X, facilitates attack by HO<sup>–</sup>.</p>\n<p>Outline, giving a reason, how the bond polarity changes going down group 17.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">f(iii).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Mg<sup>2+</sup> + 2 e<sup>-</sup> → Mg ✔</p>\n<p> </p>\n<p><em>Do <strong>not</strong> penalize missing charge on electron.</em></p>\n<p><em>Accept equation with equilibrium arrows.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><strong>Alternative 1</strong></em></p>\n<p>put Mg in Zn<sup>2+</sup>(aq) ✔</p>\n<p>Zn/«black» layer forms «on surface of Mg» ✔</p>\n<p><em><br/>Award <strong>[1 max]</strong> for “no reaction when Zn placed in Mg<sup>2+</sup>(aq)”.</em></p>\n<p> </p>\n<p><em><strong>Alternative 2</strong></em></p>\n<p>place both metals in acid ✔</p>\n<p>bubbles evolve more rapidly from Mg<br/><em><strong>OR</strong></em><br/>Mg dissolves faster ✔</p>\n<p> </p>\n<p><em><strong>Alternative 3</strong></em></p>\n<p>construct a cell with Mg and Zn electrodes ✔</p>\n<p>bulb lights up<br/><em><strong>OR</strong></em><br/>shows (+) voltage<br/><em><strong>OR</strong></em><br/>size/mass of Mg(s) decreases «over time»<br/><em><strong>OR</strong></em><br/>size/mass of Zn increases «over time»</p>\n<p><em><br/></em><em>Accept “electrons flow from Mg to Zn”. </em></p>\n<p><em>Accept Mg is negative electrode/anode </em><br/><em><strong>OR</strong> </em><br/><em>Zn is positive electrode/cathode</em></p>\n<p><em><br/>Accept other correct methods.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>propanone ✔</p>\n<p><em><br/>Accept 2-propanone and propan-2-one.</em></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>hydrogen bonds ✔</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p> </p>\n<p><em>Do <strong>not</strong> penalize missing brackets or n.</em></p>\n<p><em>Do <strong>not</strong> award mark if continuation bonds are not shown.</em></p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>no change «in colour/appearance/solution» ✔</p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«nucleophilic» substitution<br/><em><strong>OR</strong></em><br/>SN2 ✔</p>\n<p><em><br/>Accept “hydrolysis”.</em></p>\n<p><em>Accept SN1</em></p>\n<div class=\"question_part_label\">f(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>energy/E ≥ activation energy/E<sub>a</sub> ✔</p>\n<p>correct orientation «of reacting particles»<br/><em><strong>OR</strong></em><br/>correct geometry «of reacting particles» ✔</p>\n<div class=\"question_part_label\">f(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>decreases/less polar <em><strong>AND</strong> </em>electronegativity «of the halogen» decreases ✔</p>\n<p> </p>\n<p><em>Accept “decreases” <strong>AND</strong> a correct comparison of the electronegativity of two halogens.</em></p>\n<p><em>Accept “decreases” <strong>AND</strong> “attraction for valence electrons decreases”.</em></p>\n<div class=\"question_part_label\">f(iii).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Unfortunately, only 40% of the students could write this quite straightforward half equation.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates gained some credit by suggesting voltaic cell or a displacement reaction, but most could not gain the second mark and the reason was often a failure to be able to differentiate between \"what occurs\" and \"what is observed\".</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Even though superfluous numbers (2-propanone, propan-2-one) were overlooked, only about half of the students could correctly name this simple molecule.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Probably just over half the students correctly identified hydrogen bonding, with dipole-dipole being the most common wrong answer, though a significant number identified an intramolecular bond.</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Few candidates could correctly eliminate water to deduce the identity of the required reactant.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Correct answers to this were very scarce and even when candidates had an incorrect alkene for the previous part, they were unable to score an ECF mark, by deducing the formula of the polymer it would produce.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Some students deduced that, as it was a tertiary alcohol, there would be no reaction, but almost all were lucky that this was accepted as well as the correct <em>observation</em> - \"it would remain orange\".</p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>About a quarter of the students identified this as a substitution reaction, though quite a number then lost the mark by incorrectly stating it was either \"free radical\" or \"electrophilic\". A very common wrong answer was \"displacement\" or \"single displacement\" and this makes one wonder whether this terminology is being taught instead of substitution</p>\n<div class=\"question_part_label\">f(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Generally well done with the vast majority of students correctly citing \"correct orientation\" and many only failed to gain the second mark through failing to equate the energy required to the activation energy.</p>\n<div class=\"question_part_label\">f(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Another question that was not well answered with probably only a quarter of candidates stating that the polarity would decrease because of decreasing electronegativity down the group.</p>\n<div class=\"question_part_label\">f(iii).</div>\n</div>",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions",
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter",
      "tools"
    ],
    "subtopics": [
      "reactivity-1-2-energy-cycles-in-reactions",
      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
      "reactivity-2-3-how-far-the-extent-of-chemical-change",
      "reactivity-3-2-electron-transfer-reactions",
      "reactivity-3-4-electron-pair-sharing-reactions",
      "structure-2-2-the-covalent-model",
      "structure-2-4-from-models-to-materials",
      "structure-3-1-the-periodic-table-classification-of-elements",
      "structure-3-2-functional-groups-classification-of-organic-compounds",
      "tool-1-experimental-techniques"
    ]
  },
  {
    "question_id": "22M.2.SL.TZ1.5",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the name of Compound B, applying International Union of Pure and Applied Chemistry (IUPAC) rules.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Compound A and Compound B are both liquids at room temperature and pressure. Identify the strongest intermolecular force between molecules of Compound A.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw the structural formula of the alkene required.\n  </p>\n  <p style=\"text-align:left;\">\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b(iii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Deduce the structural formula of the repeating unit of the polymer formed from this alkene.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the requirements for a collision between reactants to yield products.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d(iv))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The polarity of the carbon–halogen bond, C–X, facilitates attack by HO\n   <sup>\n    –\n   </sup>\n   .\n  </p>\n  <p>\n   Outline, giving a reason, how the bond polarity changes going down group 17.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a(i))\n </div><div class=\"card-body\">\n <p>\n  2-methylpropan-2-ol /2-methyl-2-propanol ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept methylpropan-2-ol/ methyl-2-propanol.\n  </em>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept 2-methylpropanol.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a(ii))\n </div><div class=\"card-body\">\n <p>\n  dipole-dipole ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do not accept van der Waals’ forces.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(i))\n </div><div class=\"card-body\">\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(iii))\n </div><div class=\"card-body\">\n <p>\n  <img height=\"183\" src=\"data:image/png;base64,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\" width=\"213\"/>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   penalize missing brackets or n.\n  </em>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   award mark if continuation bonds are not shown.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(ii))\n </div><div class=\"card-body\">\n <p>\n  energy/E ≥ activation energy/E\n  <sub>\n   a\n  </sub>\n  ✔\n </p>\n <p>\n  correct orientation «of reacting particles»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  correct geometry «of reacting particles» ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(iv))\n </div><div class=\"card-body\">\n <p>\n  decreases/less polar\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  electronegativity «of the halogen» decreases ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept “decreases”\n   <strong>\n    AND\n   </strong>\n   a correct comparison of the electronegativity of two halogens.\n  </em>\n </p>\n <p>\n  <em>\n   Accept “decreases”\n   <strong>\n    AND\n   </strong>\n   “attraction for valence electrons decreases”.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a(i))\n </div><div class=\"card-body\">\n <p>\n  Naming the organic compound using IUPAC rules was generally done well.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(i))\n </div><div class=\"card-body\">\n <p>\n  Good performance; some had a H and CH\n  <sub>\n   3\n  </sub>\n  group on each C atom across double bond instead of having two H atoms on one C and two CH\n  <sub>\n   3\n  </sub>\n  groups on the other.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(iii))\n </div><div class=\"card-body\">\n <p>\n  Mediocre performance; deducing structural formula of repeating unit of the polymer was challenging in which continuation bonds were sometimes missing, or structure included a double bond or one of the CH\n  <sub>\n   3\n  </sub>\n  group was missing.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(ii))\n </div><div class=\"card-body\">\n <p>\n  Good performance. For the requirements for a collision between reactants to yield products, some suggested necessary, sufficient or enough energy or even enough activation energy instead of energy/\n  <em>\n   E ≥\n  </em>\n  activation energy/\n  <em>\n   E\n  </em>\n  <sub>\n   a\n  </sub>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(iv))\n </div><div class=\"card-body\">\n <p>\n  Good performance on how the polarity of C-X bond changes going down group 17.\n </p>\n</div>\n",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
      "reactivity-3-4-electron-pair-sharing-reactions",
      "structure-2-2-the-covalent-model",
      "structure-2-4-from-models-to-materials",
      "structure-3-1-the-periodic-table-classification-of-elements",
      "structure-3-2-functional-groups-classification-of-organic-compounds"
    ]
  },
  {
    "question_id": "22M.2.SL.TZ1.6",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw arrows in the boxes to represent the electron configuration of a nitrogen atom.\n  </p>\n  <p style=\"text-align:left;\">\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a(iii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain the relative lengths of the three bonds between N and O in nitric acid.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a(i))\n </div><div class=\"card-body\">\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n  <em>\n   <br/>\n   Accept\n   <strong>\n    all\n   </strong>\n   2p electrons pointing downwards.\n  </em>\n </p>\n <p>\n  <em>\n   Accept half arrows instead of full arrows.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a(iii))\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Any three of:\n  </em>\n </p>\n <p>\n  two N-O same length/order ✔\n  <br/>\n  delocalization/resonance ✔\n </p>\n <p>\n  N-OH longer «than N-O»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  N-OH bond order 1\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  N-O bond order 1½ ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2 max]\n   </strong>\n   if bond strength, rather than bond length discussed.\n  </em>\n </p>\n <p>\n  <em>\n   Accept N-O between single and double bond\n   <strong>\n    AND\n   </strong>\n   N-OH single bond.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a(i))\n </div><div class=\"card-body\">\n <p>\n  Drawing arrows in the boxes to represent the electron configuration of a nitrogen atom was done extremely well.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a(iii))\n </div><div class=\"card-body\">\n <p>\n  Poorly done; some explained relative bond strengths between N and O in HNO\n  <sub>\n   3\n  </sub>\n  , not relative lengths; others included generic answers such as triple bond is shortest, double bond is longer, single longest.\n </p>\n</div>\n",
    "topics": [
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-1-models-of-the-particulate-nature-of-matter"
    ],
    "subtopics": [
      "reactivity-3-4-electron-pair-sharing-reactions",
      "structure-1-3-electron-configurations"
    ]
  },
  {
    "question_id": "22M.2.SL.TZ2.1",
    "Question": "<div class=\"specification\">\n<p>Lithium reacts with water to form an alkaline solution.</p>\n</div><div class=\"specification\">\n<p>A 0.200 g piece of lithium was placed in 500.0 cm<sup>3</sup> of water.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the coefficients that balance the equation for the reaction of lithium with water.</p>\n<p style=\"text-align:left;\"><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the molar concentration of the resulting solution of lithium hydroxide.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the volume of hydrogen gas produced, in cm<sup>3</sup>, if the temperature was 22.5 °C and the pressure was 103 kPa. Use sections 1 and 2 of the data booklet.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest a reason why the volume of hydrogen gas collected was smaller than predicted.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The reaction of lithium with water is a redox reaction. Identify the oxidizing agent in the reaction giving a reason.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe two observations that indicate the reaction of lithium with water is exothermic.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>2 Li (s) + 2 H<sub>2</sub>O (l) → 2 LiOH (aq) + H<sub>2 </sub>(g) ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>n</mi><mrow><mi>L</mi><mi>i</mi></mrow></msub><mo>«</mo><mfrac><mrow><mn>0200</mn><mo> </mo><mi>g</mi></mrow><mrow><mn>6</mn><mo>.</mo><mn>94</mn><mo> </mo><mi>g</mi></mrow></mfrac><mo>=</mo><mo>»</mo><mn>0</mn><mo>.</mo><mn>0288</mn><mo>«</mo><mi>m</mi><mi>o</mi><mi>l</mi><mo>»</mo></math>✔</p>\n<p>«n<sub>LiOH</sub> = n<sub>Li</sub>»</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfenced close=\"]\" open=\"[\"><mi>LiOH</mi></mfenced><mo> </mo><mo>«</mo><mo>=</mo><mfrac><mrow><mn>0</mn><mo>.</mo><mn>0288</mn><mo> </mo><mi>m</mi><mi>o</mi><mi>l</mi></mrow><mrow><mn>0</mn><mo>.</mo><mn>5000</mn><mo> </mo><mi>d</mi><msup><mi>m</mi><mn>3</mn></msup></mrow></mfrac><mo>=</mo><mo>»</mo><mn>0</mn><mo>.</mo><mn>0576</mn><mo> </mo><mo>«</mo><mi>m</mi><mi>o</mi><mi>l</mi><mo> </mo><mi>d</mi><msup><mi>m</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>»</mo></math> ✔</p>\n<p> </p>\n<p>Award <strong>[2]</strong> for correct final answer.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><msub><mi>n</mi><msub><mi>H</mi><mn>2</mn></msub></msub><mo>=</mo><mfrac><mn>1</mn><mn>2</mn></mfrac><mo>×</mo><mn>0</mn><mo>.</mo><mn>0288</mn><mo> </mo><mi>m</mi><mi>o</mi><mi>l</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>0144</mn><mo> </mo><mi>m</mi><mi>o</mi><mi>l</mi><mo>»</mo></math></p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mi>V</mi><mo>=</mo><mfrac><mrow><mi>n</mi><mi>R</mi><mi>T</mi></mrow><mi>P</mi></mfrac><mo>=</mo><mo>»</mo><mfenced><mfrac><mrow><mn>0</mn><mo>.</mo><mn>0144</mn><mo> </mo><mi>m</mi><mi>o</mi><mi>l</mi><mo>×</mo><mn>8</mn><mo>.</mo><mn>31</mn><mo> </mo><mi>J</mi><msup><mi>K</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mi>m</mi><mi>o</mi><msup><mi>l</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>×</mo><mfenced><mrow><mn>22</mn><mo>.</mo><mn>5</mn><mo>+</mo><mn>273</mn></mrow></mfenced><mi>K</mi></mrow><mrow><mn>103</mn><mo> </mo><mi>k</mi><mi>P</mi><mi>a</mi></mrow></mfrac></mfenced><mo> </mo><mo>«</mo><mo>×</mo><msup><mn>10</mn><mn>3</mn></msup><mo>»</mo></math>✔</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>V</mi><mo>=</mo><mn>343</mn><mo> </mo><mo>«</mo><msup><mi>cm</mi><mn>3</mn></msup><mo>»</mo></math>✔</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>Accept answers in the range 334 – 344 cm<sup>3</sup>.</em></p>\n<p><em>Award <strong>[1 max]</strong> for 0.343 «cm<sup>3</sup>/dm<sup>3</sup>/m<sup>3</sup>».</em></p>\n<p><em>Award<strong> [1 max]</strong> for 26.1 cm<sup>3</sup> obtained by using 22.5 K.</em></p>\n<p><em>Award<strong> [1 max]</strong> for 687 cm<sup>3</sup> obtained by using 0.0288 mol.</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>lithium was impure/«partially» oxidized</p>\n<p><em><strong>OR</strong></em></p>\n<p>gas leaked/ignited ✔</p>\n<p> </p>\n<p><em>Accept “gas dissolved”.</em></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>H<sub>2</sub>O <em><strong>AND</strong> </em>hydrogen gains electrons «to form H<sub>2</sub>»</p>\n<p><em><strong>OR</strong></em></p>\n<p>H<sub>2</sub>O <em><strong>AND</strong> </em>H oxidation state changed from +1 to 0 ✔</p>\n<p> </p>\n<p><em>Accept “H<sub>2</sub>O <strong>AND</strong> H/H<sub>2</sub>O is reduced”.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Any two:</em></p>\n<p>temperature of the water increases ✔</p>\n<p>lithium melts ✔</p>\n<p>pop sound is heard ✔</p>\n<p> </p>\n<p><em>Accept “lithium/hydrogen catches fire”.</em></p>\n<p><em>Do not accept “smoke is observed”.</em></p>\n<div class=\"question_part_label\">d.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This part-question was better answered than part (ii). 50% of the candidates drew a correct arrow between n=2 and n=3. Both absorption and emission transitions were accepted since the question did not specify which type of spectrum was required. Some teachers commented on this in their feedback. Mistakes often included transitions between higher energy levels.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div>",
    "topics": [
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "tools"
    ],
    "subtopics": [
      "reactivity-3-2-electron-transfer-reactions",
      "structure-1-4-counting-particles-by-mass-the-mole",
      "tool-1-experimental-techniques"
    ]
  },
  {
    "question_id": "22M.2.SL.TZ2.2",
    "Question": "<div class=\"specification\">\n<p>Electrons are arranged in energy levels around the nucleus of an atom.</p>\n</div><div class=\"specification\">\n<p>The diagram represents possible electron energy levels in a hydrogen atom.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why the first ionization energy of calcium is greater than that of potassium.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>All models have limitations. Suggest <strong>two</strong> limitations to this model of the electron energy levels.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw an arrow, labelled <strong>X</strong>, to represent the electron transition for the ionization of a hydrogen atom in the ground state.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw an arrow, labelled <strong>Z</strong>, to represent the lowest energy electron transition in the visible spectrum.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>increasing number of protons/nuclear charge/Z<sub>eff</sub> ✔</p>\n<p><br/>«atomic» radius/size decreases<br/><strong><em>OR</em></strong><br/>same number of energy levels<br/><em><strong>OR</strong></em><br/>similar shielding «by inner electrons» ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Any two of:</em></p>\n<p>does not represent sub-levels/orbitals ✔</p>\n<p>only applies to atoms with one electron/hydrogen ✔</p>\n<p>does not explain why only certain energy levels are allowed ✔</p>\n<p>the atom is considered to be isolated ✔</p>\n<p>does not take into account the interactions between atoms/molecules/external fields ✔</p>\n<p>does not consider the number of electrons the energy level can fit ✔</p>\n<p>does not consider probability of finding electron at different positions/<em>OWTTE</em> ✔</p>\n<p> </p>\n<p><em>Do <strong>not</strong> accept “does not represent distance «from nucleus»”.</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>upward arrow X <em><strong>AND</strong> </em>starting at n = 1 extending to n = ∞ ✔</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>downward or upward arrow between n = 3 and n = 2 ✔</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>It was surprising that this question that appears regularly in IB chemistry papers was not better answered. Many candidates only obtained one of the two marks for identifying one factor (often the larger nuclear charge of calcium or that the number of shells was the same for Ca and K). However, a few candidates did write thorough answers reflecting a good understanding of the factors affecting ionization energy. This question had a strong correlation between candidates who scored well and those who had a high score overall. Some candidates did not score any marks by focusing on trends in the Periodic Table without offering an explanation, or by discussing the number of electrons in Ca and K instead of the number of protons.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Only 30% of the candidates drew the correct arrow on the diagram representing the ionization of hydrogen. A few candidates missed the mark by having the arrow pointing downwards. The most common incorrect answer was a transition between n=1 and n=2.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
    "topics": [
      "empty-topic",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "structure-1-3-electron-configurations",
      "structure-3-1-the-periodic-table-classification-of-elements"
    ]
  },
  {
    "question_id": "22M.2.SL.TZ2.3",
    "Question": "<div class=\"specification\">\n<p>Sulfur trioxide is produced from sulfur dioxide.</p>\n<p style=\"text-align: center;\">2SO<sub>2 </sub>(g) + O<sub>2 </sub>(g) <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> 2SO<sub>3 </sub>(g)          Δ<em>H</em> = −196 kJ mol<sup>−1</sup></p>\n</div><div class=\"specification\">\n<p>The reaction between sulfur dioxide and oxygen can be carried out at different temperatures.</p>\n</div><div class=\"specification\">\n<p>Nitric acid, HNO<sub>3</sub>, is another strong Brønsted–Lowry acid. Its conjugate base is the nitrate ion, NO<sub>3</sub><sup>−</sup></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline, giving a reason, the effect of a catalyst on a reaction.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>On the axes, sketch Maxwell–Boltzmann energy distribution curves for the reacting species at two temperatures T<sub>1</sub> <strong>and</strong> T<sub>2</sub>, where T<sub>2</sub> &gt; T<sub>1</sub>.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the effect of increasing temperature on the yield of SO<sub>3</sub>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the product formed from the reaction of SO<sub>3</sub> with water.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the meaning of a strong Brønsted–Lowry acid.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw the Lewis structure of NO<sub>3</sub><sup>−</sup>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the electron domain geometry of NO<sub>3</sub><sup>−</sup>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>increases rate <em><strong>AND</strong> </em>lower <em>E</em><sub>a</sub> ✔</p>\n<p>provides alternative pathway «with lower <em>E</em><sub>a</sub>»<br/><em><strong>OR</strong></em><br/>more/larger fraction of molecules have the «lower» <em>E</em><sub>a</sub> ✔</p>\n<p> </p>\n<p><em>Accept description of how catalyst lowers E<sub>a</sub> for M2 (e.g. “reactants adsorb on surface «of catalyst»”, “reactant bonds weaken «when adsorbed»”, “helps favorable orientation of molecules”).</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>both axes correctly labelled ✔</p>\n<p>peak of T<sub>2</sub> curve lower <em><strong>AND</strong> </em>to the right of T<sub>1</sub> curve ✔</p>\n<p>lines begin at origin <em><strong>AND</strong> </em>correct shape of curves <em><strong>AND</strong> </em>T<sub>2</sub> must finish above T<sub>1</sub> ✔</p>\n<p> </p>\n<p><em>Accept “probability «density» / number of particles / N / fraction” on y-axis.</em></p>\n<p><em>Accept “kinetic E/KE/E<sub>k</sub>” but not just “Energy/E” on x-axis.</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>decrease <em><strong>AND</strong> </em>equilibrium shifts left / favours reverse reaction ✔</p>\n<p>«forward reaction is» exothermic / ΔH is negative ✔</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>sulfuric acid/H<sub>2</sub>SO<sub>4</sub> ✔</p>\n<p> </p>\n<p><em>Accept “disulfuric acid/H<sub>2</sub>S<sub>2</sub>O<sub>7</sub>”.</em></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>fully ionizes/dissociates ✔</p>\n<p>proton/H<sup>+</sup> «donor » ✔</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p> </p>\n<p><em>Do <strong>not</strong> accept the delocalised structure.</em></p>\n<p><em>Accept any combination of dots, crosses and lines.</em></p>\n<p><em>Coordinate/dative bond may be represented by an arrow.</em></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>three electron domains repel</p>\n<p><em><strong>OR</strong></em></p>\n<p>three electron domains as far away as possible ✔</p>\n<p> </p>\n<p>trigonal planar</p>\n<p><em><strong>OR</strong></em></p>\n<p>«all» angles are 120° ✔</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>A generally well-answered question. Most candidates explained the effect of a catalyst on a reaction correctly. A small proportion of candidates thought the catalyst increased the frequency of collisions. Some candidates focussed on the effect of the catalyst on an equilibrium since the equation above the question was that of a reversible reaction. These candidates usually still managed to gain at least the first marking point by stating that both forward and reverse reaction rates were increased due to the lower activation energy. Most candidates mentioned the alternative pathway for the second mark, and some gave a good discussion about the increase in the number of molecules or collisions with E≥E<sub>a</sub>. A few candidates lost one of the marks for not explicitly stating the effect of a catalyst (that it increases the rate of the reaction).</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The average mark scored for the Maxwell-Boltzmann distribution curves sketch was 1.5 out of 3 marks and the question had a strong correlation with the candidates who did well overall. The majority of candidates were familiar with the shapes of the curves. The most commonly lost mark was missing or incorrect labels on the axes. Sometimes candidates added the labels but did not specify “kinetic” energy for the x-axis. As for the curves, some candidates reversed the labels T<sub>1</sub> and T<sub>2</sub>, some made the two curves meet at high energy or even cross, and some did not have the correct relationship between the peaks of T<sub>1</sub> and T<sub>2</sub>.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Another question that showed a strong correlation with the candidates who did well overall. The average mark was 1 out of 2 marks. Many candidates explained the effect of an increase in temperature on the yield of SO<sub>3</sub> correctly and thoroughly. One of the common mistakes was to miss the fact that it was an equilibrium and reason that yield would not change due to an increase in the rate of reaction. Unfortunately, a number of candidates also deduced that yield would increase due to the increase in rate. Other candidates recognized that it was an exothermic reaction but deduced the equilibrium would shift to the right giving a higher yield of SO<sub>3</sub>.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A very well answered question. 70% of the candidates stated H2SO4 as the product from the reaction of SO<sub>3</sub> with water.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>While a straightforward question, many candidates only answered part of the question - either focussing on the “strong” or on the “Brønsted-Lowry acid”. The average mark on this question was 1.2 out of 2 marks.</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Only 20% of the candidates scored the mark for the Lewis structure of NO<sub>3</sub><sup>-</sup>. Mistakes included: missing charge, missing lone pairs, 3 single bonds, 2 double bonds.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The majority of candidates deduced the correct electron domain geometry scoring the first mark including cases of ECF. Only a small number of candidates satisfied the requirements of the markscheme for the explanation.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "reactivity-2-1-how-much-the-amount-of-chemical-change",
      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
      "reactivity-2-3-how-far-the-extent-of-chemical-change",
      "reactivity-3-1-proton-transfer-reactions",
      "structure-2-2-the-covalent-model",
      "structure-3-1-the-periodic-table-classification-of-elements"
    ]
  },
  {
    "question_id": "22M.2.SL.TZ2.4",
    "Question": "<div class=\"specification\">\n<p>Carbon forms many compounds.</p>\n</div><div class=\"specification\">\n<p>C<sub>60</sub> and diamond are allotropes of carbon.</p>\n</div><div class=\"specification\">\n<p>But-2-ene reacts with hydrogen bromide.</p>\n</div><div class=\"specification\">\n<p>Chlorine reacts with methane.</p>\n<p style=\"text-align: center;\">CH<sub>4</sub> (g) + Cl<sub>2 </sub>(g) → CH<sub>3</sub>Cl (g) + HCl (g)</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline <strong>one</strong> difference between the bonding of carbon atoms in C<sub>60</sub> and diamond.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State two features showing that propane and butane are members of the same homologous series.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe a test and the expected result to indicate the presence of carbon–carbon double bonds.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw the full structural formula of but-2-ene.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write the equation for the reaction between but-2-ene and hydrogen bromide.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the type of reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest <strong>two</strong> differences in the <sup>1</sup>H NMR of but-2-ene and the organic product from (d)(ii).</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the enthalpy change of the reaction, Δ<em>H</em>, using section 11 of the data booklet.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw and label an enthalpy level diagram for this reaction.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">e(ii).</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>C<sub>60</sub> fullerene: «each carbon is» bonded to 3 C <em><strong>AND</strong> </em>diamond: bonded to 4 C<br/><em><strong>OR</strong></em><br/>C<sub>60</sub> fullerene: delocalized/resonance <em><strong>AND</strong> </em>diamond: not delocalized/no resonance<br/><em><strong>OR</strong></em><br/>C<sub>60</sub> fullerene: single and double bonds <em><strong>AND</strong> </em>diamond: single bonds ✔</p>\n<p> </p>\n<p><em>Accept “C<sub>60</sub> fullerene: sp<sup>2</sup> <strong>AND</strong> diamond: sp<sup>3</sup>”.</em></p>\n<p><em>Accept “C<sub>60</sub> fullerene: trigonal planar geometry / bond angles between 109.5°/109°/108°–120° <strong>AND</strong> diamond:  tetrahedral geometry / bond angle 109.5°/109°”.</em></p>\n<p><em>Accept \"bonds in fullerene are shorter/stronger/have higher bond order\".</em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>same general formula / C<sub>n</sub>H<sub>2n+2</sub> ✔</p>\n<p>differ by CH<sub>2</sub>/common structural unit ✔</p>\n<p> </p>\n<p><em>Accept \"similar chemical properties\".</em></p>\n<p><em>Accept “gradation/gradual change in physical properties”.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><strong>ALTERNATIVE 1:</strong></p>\n<p><em>Test:</em></p>\n<p>add bromine «water»/Br<sub>2</sub> (aq) ✔</p>\n<p><em>Result:</em></p>\n<p>«orange/brown/yellow» to colourless/decolourised ✔</p>\n<p> </p>\n<p><em>Do <strong>not</strong> accept “clear” for M2.</em></p>\n<p> </p>\n<p><strong>ALTERNATIVE 2:</strong></p>\n<p><em>Test:</em></p>\n<p>add «acidified» KMnO<sub>4</sub> ✔</p>\n<p><em>Result:</em></p>\n<p>«purple» to colourless/decolourised/brown ✔</p>\n<p> </p>\n<p><em>Accept “colour change” for M2.</em></p>\n<p> </p>\n<p><strong>ALTERNATIVE 3:</strong></p>\n<p><em>Test:</em></p>\n<p>add iodine /<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mtext>I</mtext><mn>2</mn></msub></math> ✔</p>\n<p><em>Result:</em></p>\n<p>«brown» to colourless/decolourised ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p> </p>\n<p><em>Accept</em></p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>CH<sub>3</sub>CH=CHCH<sub>3</sub> (g) + HBr (g) → CH<sub>3</sub>CH<sub>2</sub>CHBrCH<sub>3</sub> (l)</p>\n<p><em><strong>OR</strong></em></p>\n<p>C<sub>4</sub>H<sub>8</sub> (g) + HBr (g) → C<sub>4</sub>H<sub>9</sub>Br (l) ✔</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«electrophilic» addition/E<sub>A</sub> ✔</p>\n<p><em><br/>Do <strong>not</strong> accept nucleophilic or free radical addition.</em></p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><strong>ALTERNATIVE 1:</strong> Any two of:</em></p>\n<p>but-2-ene: 2 signals <em><strong>AND</strong> </em>product: 4 signals ✔</p>\n<p>but-2-ene: «area ratio» 3:1/6:2 <em><strong>AND</strong> </em>product: «area ratio» 3:3:2:1 ✔</p>\n<p>product: «has signal at» 3.5-4.4 ppm «and but-2-ene: does not» ✔</p>\n<p>but-2-ene: «has signal at» 4.5-6.0 ppm «and product: does not» ✔</p>\n<p> </p>\n<p><strong>ALTERNATIVE 2:</strong></p>\n<p>but-2-ene: doublet <em><strong>AND</strong> </em>quartet/multiplet/4 ✔</p>\n<p>product: doublet <em><strong>AND</strong> </em>triplet <em><strong>AND</strong> </em>quintet/5/multiplet <em><strong>AND</strong> </em>sextet/6/multiplet ✔</p>\n<p> </p>\n<p><em>Accept “product «has signal at» 1.3–1.4 ppm «and but-2-ene: does not»”.</em></p>\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>bond breaking: C–H + Cl–Cl / 414 «kJ mol<sup>–1</sup>» + 242 «kJ mol<sup>–1</sup>»/656 «kJ»<br/><em><strong>OR</strong></em><br/>bond breaking: 4C–H + Cl–Cl / 4 × 414 «kJ mol<sup>–1</sup>» + 242 «kJ mol<sup>–1</sup>» / 1898 «kJ» ✔</p>\n<p><br/>bond forming: «C–Cl + H–Cl / 324 kJ mol<sup>–1</sup> + 431 kJ mol<sup>–1</sup>» / 755 «kJ»<br/><em><strong>OR</strong></em><br/>bond forming: «3C–H + C–Cl + H–Cl / 3 × 414 «kJ mol<sup>–1</sup>» + 324 «kJ mol<sup>–1</sup>» + 431 kJ mol<sup>–1</sup>» / 1997 «kJ» ✔</p>\n<p><br/>«ΔH = bond breaking – bond forming = 656 kJ – 755 kJ» = –99 «kJ» ✔</p>\n<p><em><br/>Award <strong>[3]</strong> for correct final answer.</em></p>\n<p><em>Award <strong>[2 max]</strong> for 99 «kJ».</em></p>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img 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\"/></p>\n<p>reactants at higher enthalpy than products ✔</p>\n<p><br/>ΔH/-99 «kJ» labelled on arrow from reactants to products<br/><em><strong>OR</strong></em><br/>activation energy/<em>E</em><sub>a</sub> labelled on arrow from reactant to top of energy profile ✔</p>\n<p> </p>\n<p><em>Accept a double headed arrow between reactants and products labelled as ΔH for M2.</em></p>\n<div class=\"question_part_label\">e(ii).</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a challenging question that asked about the difference between the bonding of carbon atoms in C<sub>60</sub> and diamond. 20% of the candidates gained the mark. The majority of the candidates did not have a specific enough answer for C<sub>60</sub> and mentioned the pentagons and hexagons but not the number of bonds or the geometry or the bond order or the electron delocalisation. Diamond was better known to candidates as expected.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>About two-thirds of the candidates scored one of the two marks and stronger candidates scored both. The most common answers were the same general formula/C<sub>n</sub>H<sub>2n+2</sub>, the difference between the compounds was CH<sub>2</sub> and similar chemical properties. The same functional group was not accepted since alkanes do not have a functional group. Some candidates only stated that they are saturated hydrocarbons not gaining any marks.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>About half of the candidates gave the bromine water test with the correct results. Iodine and KMnO4 were rarely seen in the scripts. There were candidates who used the term “clear” to mean “colourless” which was not accepted. Some candidates referred to the presence of UV light in a correct way and others in an incorrect way which was not penalized in this case. 10% of the candidates left the question blank. The most common incorrect answer was in terms of the IR absorptions. Other candidates referred to enthalpies of combustion and formation.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A well answered question. 70% of the candidates gave the correct structural formula for but-2-ene. Mistakes included too many hydrogens in the structure and an incorrect position of the C=C. Candidates should be reminded that the full structural formula requires all covalent bonds to be shown.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Half of the candidates wrote the correct equation for the reaction of but-2-ene with hydrogen bromide. Incorrect answers included hydrogen as a product. As expected, the question correlated well with highly achieving candidates.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Well answered. 60% of candidates identified the type of reaction between but-2-ene and HBr, some of them including the term “electrophilic”. ECF was generously awarded when substitution was stated based on the equation where H<sub>2</sub> was produced in part (ii). Candidates lost the mark if they only stated “hydrobromination” without mentioning addition. Some candidates lost the mark for stating “nucleophilic” or “free radical” addition.</p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The comparison of the <sup>1</sup>H NMR spectra of the two organic compounds was more challenging and 10% of the candidates left this question blank. The average mark was 0.7 out of 2 marks. Mistakes included non-specific answers that just stated “more signals” or “higher chemical shift”, and stating 3 signals in 2-bromobutane instead of 4 signals. Standard level candidates were expected to use the number of signals and the ratio of the areas under the signals to answer the question since they do not cover chemical shift, however, many of them did use the <sup>1</sup>H NMR section in the data booklet to obtain correct answers in terms of chemical shift.</p>\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was the best answered question on the paper. Candidates identified the bonds and used bond enthalpies to calculate the enthalpy of reaction accurately. The most common mistakes were reversing the signs of bonds broken and bonds formed, assuming two Cl-Cl bonds were broken and using an incorrect value of bond enthalpy for one of the bonds.</p>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The majority of candidates drew the enthalpy level diagram and labelled it correctly based on their answer to part (i). Some candidates reversed the products and reactants. A few candidates did not add any labels which prevented the awarding of the second mark. With 2 marks allocated to the question the second mark was awarded for correct labeling of either ΔH or E<sub>a</sub>.</p>\n<div class=\"question_part_label\">e(ii).</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far"
    ],
    "subtopics": [
      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
      "reactivity-2-3-how-far-the-extent-of-chemical-change"
    ]
  },
  {
    "question_id": "22M.2.SL.TZ2.5",
    "Question": "<div class=\"specification\">\n<p>Molten zinc chloride undergoes electrolysis in an electrolytic cell at 450 °C.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the half-equations for the reaction at each electrode.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the overall cell reaction including state symbols. Use section 7 of the data booklet.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Cathode (negative electrode):</p>\n<p>Zn<sup>2+</sup> + 2e<sup>−</sup> → Zn (l) ✔</p>\n<p> </p>\n<p>Anode (positive electrode):</p>\n<p>2Cl<sup>−</sup> → Cl<sub>2</sub> (g) + 2e<sup>−</sup></p>\n<p><em><strong>OR</strong></em></p>\n<p>Cl<sup>−</sup> → ½ Cl<sub>2</sub> (g) + e<sup>−</sup> ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>ZnCl<sub>2</sub> (l) → Zn (l) + Cl<sub>2</sub> (g)</p>\n<p><br/>balanced equation ✔<br/>correct state symbols ✔</p>\n<p> </p>\n<p><em>Accept ionic equation.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>The half-equations were often incorrect. The average mark was 0.8 out of 2, and the correlation to high scoring candidates was strong as expected. Many candidates started the half-equations with the elements and gave the ions as products. We also saw some scripts with Cl instead of Cl2 as the product. Some of the candidates thought the zinc ion was Zn<sup>+</sup> instead of Zn<sup>2+</sup>. Some candidates reversed the anode and cathode equations earning only 1 of the 2 marks.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The performance was weak on this part-question as well. The overall equations did not balance atoms or charges on many of the incorrect answers. For the state symbols, many candidates used the aqueous state symbol, some gave the chloride ion a gaseous state symbol, and some candidates still had a solid zinc product even though they were directed to use the melting point of zinc in the data booklet. 12% of the candidates did not answer the question and the average mark was 0.5 out of 2 marks.</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "reactivity-2-1-how-much-the-amount-of-chemical-change",
      "reactivity-3-2-electron-transfer-reactions",
      "structure-1-3-electron-configurations",
      "structure-2-3-the-metallic-model",
      "structure-3-1-the-periodic-table-classification-of-elements"
    ]
  },
  {
    "question_id": "22M.2.SL.TZ2.6",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline, giving a reason, the effect of a catalyst on a reaction.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   On the axes, sketch Maxwell–Boltzmann energy distribution curves for the reacting species at two temperatures T\n   <sub>\n    1\n   </sub>\n   <strong>\n    and\n   </strong>\n   T\n   <sub>\n    2\n   </sub>\n   , where T\n   <sub>\n    2\n   </sub>\n   &gt; T\n   <sub>\n    1\n   </sub>\n   .\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain the effect of increasing temperature on the yield of SO\n   <sub>\n    3\n   </sub>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the product formed from the reaction of SO\n   <sub>\n    3\n   </sub>\n   with water.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the meaning of a strong Brønsted–Lowry acid.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  increases rate\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  lower\n  <em>\n   E\n  </em>\n  <sub>\n   a\n  </sub>\n  ✔\n </p>\n <p>\n  provides alternative pathway «with lower\n  <em>\n   E\n  </em>\n  <sub>\n   a\n  </sub>\n  »\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  more/larger fraction of molecules have the «lower»\n  <em>\n   E\n  </em>\n  <sub>\n   a\n  </sub>\n  ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept description of how catalyst lowers E\n   <sub>\n    a\n   </sub>\n   for M2 (e.g. “reactants adsorb on surface «of catalyst»”, “reactant bonds weaken «when adsorbed»”, “helps favorable orientation of molecules”).\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(i))\n </div><div class=\"card-body\">\n <p>\n  <img height=\"243\" src=\"data:image/png;base64,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\" width=\"344\"/>\n </p>\n <p>\n  both axes correctly labelled ✔\n </p>\n <p>\n  peak of T\n  <sub>\n   2\n  </sub>\n  curve lower\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  to the right of T\n  <sub>\n   1\n  </sub>\n  curve ✔\n </p>\n <p>\n  lines begin at origin\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  correct shape of curves\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  T\n  <sub>\n   2\n  </sub>\n  must finish above T\n  <sub>\n   1\n  </sub>\n  ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept “probability «density» / number of particles / N / fraction” on y-axis.\n  </em>\n </p>\n <p>\n  <em>\n   Accept “kinetic E/KE/E\n   <sub>\n    k\n   </sub>\n   ” but not just “Energy/E” on x-axis.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(ii))\n </div><div class=\"card-body\">\n <p>\n  decrease\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  equilibrium shifts left / favours reverse reaction ✔\n </p>\n <p>\n  «forward reaction is» exothermic / ΔH is negative ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(i))\n </div><div class=\"card-body\">\n <p>\n  sulfuric acid/H\n  <sub>\n   2\n  </sub>\n  SO\n  <sub>\n   4\n  </sub>\n  ✔\n </p>\n <p>\n  <em>\n   <br/>\n   Accept “disulfuric acid/H\n   <sub>\n    2\n   </sub>\n   S\n   <sub>\n    2\n   </sub>\n   O\n   <sub>\n    7\n   </sub>\n   ”.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(ii))\n </div><div class=\"card-body\">\n <p>\n  fully ionizes/dissociates ✔\n </p>\n <p>\n  proton/H\n  <sup>\n   +\n  </sup>\n  «donor »✔\n </p>\n</div>\n",
    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Overall well answered though some answers were directed to explain the specific example rather than the simple and standard definition of the effect of a catalyst.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(i))\n </div><div class=\"card-body\">\n <p>\n  Few got the 3 marks for this standard question (average mark 1.7), the most common error being incomplete/incorrect labelling of axes, curves beginning above 0 on y-axis or inverted curves.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(ii))\n </div><div class=\"card-body\">\n <p>\n  Many candidates got one mark at least, sometimes failing to state the effect on the production of SO\n  <sub>\n   3\n  </sub>\n  though they knew this quite obviously. This failure to read the question properly also resulted in an incorrect prediction based exclusively on kinetics instead of using the information provided to guide their answers.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(i))\n </div><div class=\"card-body\">\n <p>\n  6(d)(i)-(ii): These simple questions could be expected to be answered by all HL candidates. However 20% of the candidates suggested hydroxides or hydrogen as products of an aqueous dissolution of sulphur oxide. In the case of the definition of a strong Brønsted-Lowry acid, only 50% got both marks, often failing to define \"strong\" but in other cases defining them as bases even.\n </p>\n</div>\n",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "reactivity-2-1-how-much-the-amount-of-chemical-change",
      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
      "reactivity-2-3-how-far-the-extent-of-chemical-change",
      "reactivity-3-1-proton-transfer-reactions",
      "structure-3-1-the-periodic-table-classification-of-elements"
    ]
  },
  {
    "question_id": "22M.2.SL.TZ2.8",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline\n   <strong>\n    two\n   </strong>\n   differences between the bonding of carbon atoms in C\n   <sub>\n    60\n   </sub>\n   and diamond.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain why C\n   <sub>\n    60\n   </sub>\n   and diamond sublime at different temperatures and pressures.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State two features showing that propane and butane are members of the same homologous series.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe a test and the expected result to indicate the presence of carbon–carbon double bonds.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Write the equation for the reaction between but-2-ene and hydrogen bromide.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d(iii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the type of reaction.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (f(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the enthalpy change of the reaction, Δ\n   <em>\n    H\n   </em>\n   , using section 11 of the data booklet.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (f(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw and label an enthalpy level diagram for this reaction.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAscAAAGGCAYAAACXGix6AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAABo2SURBVHhe7d0PmFV1gf/xj0guBhEi4qwaiyaRmECIVEqt/3UxaYpfZmaIG7qVf1rKllU3f62Zhpkk6urPLHnwT5ahk20+Kpq0ShnohKhjSininwVFZInx347wu3f4AqNISsMMg7xez3Mf7j3nzJkzZ85zed8z33vuFisqAgAApFP5FwAANnviGAAACnEMAADFa8Yc9+mzU7kHAABvb/PnP1nurbFWHL/RQgAA8Hayru41rAIAAApxDAAAhTgGAIBCHAMAQCGOAQCgEMcAAFCIYwAAKMQxAAAU4hgAAApxDAAAhTgGAIBCHAMAQCGOAQCgEMcAAFCIYwAAKMQxAAAU4phNzosvvpi6urryCABgwxHHbHKmTp2ak08+USADABucOGaTMnfu3Jx22r82368G8uLFi5vvAwBsCOKYTcr555+fs8/+TvP9E044Keedd17zfQCADUEcs8moDqN47rnnMmrUqObHJ598cmbMuCu33Tat+TEAQGuJYzYJ1eET1WEUp59+erbeeuvmadV/v/GNb+Rb3/pW85v0AABaSxyzSagOn6gOoxg0aFCZstKBBx6UffYZnsmTJ5cpAAB/PXHMJmH//fdrHkbxRk455ZT067dreQQA8NcTx2wSqmeIVw2neL2ePXs2zwcAaC1xDAAAhTgGAIBCHAMAQCGOAQCgEMcAAFCIYwAAKMQxAAAU4hgAAApxDAAAhTgGAIBCHAMAQCGOAQCgEMcAAFCIYwAAKMQxAAAU4hgAAApxDAAAhTgGAIBCHAMAQCGOAQCgEMcAAFCIYwAAKMQxAAAU4hgAAApxDAAAhTgGAIBCHAMAQCGOAQCgEMcAAFCIYwAAKMQxAAAU4hgAAApxDAAAhTgGAIBCHAMAQCGOAQCgEMcAAFCIYwAAKMQxAAAU4hgAAApxDAAAhTgGAIBCHAMAQCGOAQCgEMcAAFCIYwAAKMQxAAAU4hgAAApxDAAAhTgGAIBCHAMAQCGOAQCgEMcAAFCIYwAAKMQxAAAU4hgAAApxDAAAhTgGAIBCHAMAQCGOAQCgEMcAAFCIYwAAKMQxAAAU4hgAAApxDAAAhTgGAIBCHAMAQCGOAQCgEMcAAFCIYwAAKMQxAAAU4hgAAApxDAAAhTgGAIBCHAMAQCGOAQCgEMcAAFCIYwAAKMQxAAAU4hgAAApxDAAAhTgGAIBCHAMAQCGOAQCgEMcAAFCIYwAAKMQxAAAU4hgAAApxDAAAhTgGAIBCHAMAQCGOAQCgEMcAAFCIYwAAKMQxAAAU4hgAAApxDAAAhTgGAIBCHAMAQCGOAQCgEMcAAFCIYwAAKMQxAAAU4hgAAApxDAAAhTgGAIBCHAMAQCGOAQCgEMcAAFCIYwAAKMQxAAAU4hgAAApxDAAAhTgGAIBCHAMAQCGOAQCgEMcAAFCIYwAAKMQxbawpjctezoryCACgIxPHtK2mObls+Ecy6usX5rrpc/LEsqYyAwCg4xHHtK0td8zeJ43I1ndflK+NHpF99tg/nzv9IqEMAHRIW6yoKPfTp89OmT//yfIINqCmpXmioT533zktddf+LHc+3lgJ513y0aOOSO0/HJj9hr4vvbq89ddqjlUAoDXW1RLimPa14qUs+sOvc+3Ec/O9mx/Oq2XyljsfnlO+/W/5p+E7pnOZ9pc4VgGA1lhXSxhWQTtoyrIn5mT6dRfm66P2zpBDvpBzZ74zH//yWfl/dbfltusuySkDH8mEz38rNzzxSvkaAID2J45pW68+kp8eu3/22GdERn/th3lwp6Nz3pSbMuOuG3Lhv47JPwx5f973ocPzT8celp6vLs7zy1adSwYAaH+GVdC2Xr0/k0/+SRr3PTj77zcs7+/VJVuUWWusSNOixzJ3WY/s/Hc902XtBdbiWAUAWsOwCjaOLffImItOzcgdnsrPzz4mH9t5p/TZeXg+/dVzc/X0R7Os+aXZFunca5fs1vethTEAQFsRx7Sxl/LEz/9vPvHZf821Dd3ysX8al3EnHZSaP1yTU0cfna9e81BlCQCAjsGwCtrWC3fnO/t/JpcPnJBbJx2RXVZdrq3pmdx13hdy1OX9c+lvv5MR272Va1Ss4VgFAFrDsAo2jqUL8sen3519R+yzJoyrOvfOhw/eLz1fuT8PP+HcMQDQMYhj2ta2/TP8w8nsGffn6abVf6SoeCGPzpmT/+k1NB94T5cyDQBg4xLHtK3OvbLHvh/J8p+My2e/eE6uuO6G1N1wdS4786Qc9+93ZJshPfP8jP9MXV1d6m78TR57qWVAAwC0L2OOaVtN9Zk4dGQmLi6P/6LaTJr5/dTWvPn4Y8cqANAa62oJcUwba8qyRc9l2WuGVKzDFl3So3cP1zkGANqcOKb9rHg2c27+TR59+S0EcafeGXTwR7Lzel7g2LEKALSGOKb9tNFQipYcqwBAa4hj2lHbDKVoybEKALSGOOZtxbEKALSGOGbjaXomc6bdkjv/8GxeKZOarfhznrpvqxxy3r/koO22LBPfGscqANAa4piN5PncO/G4/J+Jd+fVMmWNLdPzQ+Pzoyu+mCHd1u+S245VAKA11tUSPgSEtrX0vlx/2axs+/krcu9DdRm341Z5z/hf5KF7f5bxH9o+OwwdnJ27OgwBgI5BldC2XliShY3vzuC93p/tuu6Q/kN75InfP54/bzc0Rxz7sTxy6Y/z6wVNZWEAgI1LHNO2/qZremzVlKWNr2RFuqdml+2Sh57MM692zjY1O6Tbq4/ksf9+qSwMALBxiWPaVo/+GX5Al8y6+opcc+//ZKcPfDBbPf3b3Dnrodzz23vzP+mVbd61ftc4BgBoK+KYtrXFe/Lxb343/5jrc9b1c9Plo8fk3w96LBOOOChHTLgr2x45Ooft2qUsDACwcblaBe1ixUuLMn9Jl/Sp6ZYsm59Zv70vi96xa4YNf396dV7PTwCpcKwCAK2xrpYQx7S96nWO7/hV7n7g6TSWSWv0zQHH1WagS7kBAO1IHLORLM2ci4/LJybMeIPrHFdseUQunfndjPAhIABAO1pXSxhzTNtaWp+fXHR3tv3MRZneMK/5IHzN7bHz1zuMAQDaijimba26zvE+e2aXbq5KAQB0bOKYttX7A9lv7+SB+x/P0tUDeAAAOiZjjtnwVjybOTf/Jo++XD20VuSVx27Kdyben93GHpfagdvmHSuXWqlT7ww6+CPZucv6XbHCsQoAtMa6WkIcs+E11Wfi0JGZuLg8/otqM2nm91Nbs35DLhyrAEBriGPaUVOWLXouy5rebBzFivxv4/K8a5cd02M9L3XsWAUAWmNdLWHMMW2gc7r12j41NTWp2W5hpo7aO6OmLsx21cctbts9MzVH7vflXH3/2lc/BgDYGJw5pg38bxbc9eP8eNaiZPnTufOSazNn4JH50kd3aPFqbEVeevS2XPbzrXLKf16TEwZ2LdPfGscqANAa62oJcUybWPHf/5l/PuyE3LDoDT/6o+idD53wvUz62r752/X8CGnHKgDQGuKYjePV+3Lxxz6Za466If91wqBsqI/7cKwCAK2xrpYw5pi2teWgnDDj0czYgGEMANBWnDmm7TU9kznTbsmdf3g2r5RJa/TNAcfVZmC39Xud5lgFAFpjXS0hjmlbKxbl7nOPy2cvnpU3HH285RG5dOZ3M2K79Tuv7FgFAFpjXS1hWAVta8nv87Mf1Gfbz1yU6Q3zmg/C19weO3+9wxgAoK2IY9rWy41Z8sq7M3ifPbNLt/X7FDwAgPYmjmlbvT+Q/fZOHrj/8SxdPYAHAKBjMuaYtrXi2dx7yb/luO/cl93GHpfagdvmHWVWs069M+jgj2TnLq5zDAC0n3W1hDimbTXVZ+LQkZm4uDxeS20mzfx+amvWb8iFYxUAaA1xzEbSlGWLnsuypnWMqdiiS3r07pH1PHHsWAUAWmVdLWHMMW2gGsQLs2hZU+V+53TrtX1qamped9s+PV58NDN/15D/ftlgZACgYxDHbHhNc/KDA/fMgT+YU8nkqlfz/F0X5vjjL8xdz6+62vGrWXLfNTnxxGty35I3vAIyAEC7E8e0gxV5edHDufnmh7PIWWIAoAMTxwAAUIhjAAAoxDEAABTiGAAACtc5ZsMrH/wx6V17Zf/+PbNFVuTFJ+tzZ0My4KNDstPW1Ysar5o23IeAAADtznWOaT9bbJmtum6ZVx+flWm33pJbb721EsGLKjMWpeHOWyuPW0zbcqtsteV6fgIIAEAbceaYTZJjFQBoDWeOAQDgTYhjAAAoxDEAABTiGAAACnEMAACFOAYAgEIcAwBAIY4BAKAQxwAAUIhjAAAoxDEAABTiGAAACnEMAACFOAYAgEIcAwBAIY4BAKAQxwAAUIhjAAAoxDEAABTiGAAACnEMAACFOAYAgEIcAwBAIY4BAKAQxwAAUIhjAAAoxDEAABTiGAAACnEMAACFOAYAgEIcAwBAIY4BAKAQxwAAUIhjAAAoxDEAABTiGAAACnEMAACFOAYAgEIcAwBAIY4BAKAQxwAAUIhjAAAoxDEAABTiGAAACnEMAACFOAYAgEIcAwBAIY4BAKAQxwAAUIhjAAAoxDEAABTiGAAACnEMAACFOAYAgEIcAwBAIY4BAKAQxwAAUIhjAAAoxDEAABTiGAAACnEMAACFOAYAgEIcAwBAIY4BAKAQxwAAUIhjAAAoxDEAABTiGAAACnEMAACFOAYAgEIcAwBAIY4BAKAQxwAAUIhjAAAoxDEAABTiGAAACnEMAACFOAYAgEIcAwBAIY4BAKAQxwAAUIhjAAAoxDEAABTiGAAACnEMAACFOAYAgEIcAwBAIY4BAKAQxwAAUIhjAAAoxDEAABTiGAAACnEMAACFOAYAgEIcAwBAIY4BAKAQxwAAUIhjAAAoxDEAABTiGAAACnEMAACFOAYAgEIcAwBAIY4BAKAQxwAAUIhjAAAoxDEAABTiGAAACnEMAACFOAYAgEIcAwBAIY4BAKAQxwAAUIhjAAAoxDEAABTiGAAACnEMAACFOAYAgEIcAwBAIY4BAKAQxwAAUIhjAAAoxDEA0GHU1dXlS1/6UubOnVumQPsSxwBAh3HIIYdkn332yQEH7JerrroqL774YpkD7UMcAwAdxtZbb52jjz46t99+R2bMmJFjjjkm9913X5kLbU8cAwAdTr9+/XLJJZfkqKOOyuGHH5YJEyY4i0y72GJFRbmfPn12yvz5T5ZH0HFVj1UANi+TJl2U2tra8ghaZ13dK44BgA5p8eLFOe+88zJjxl35xje+kQMPPKjMgdZbV/caVgEAdDi33TYtn/zkyrPEN9xQJ4xpN84cAwAdxlNPPZWzzjorDQ0PZtKkCzNo0KAyBzYsZ44BgA7v8ccfz8CBA3PzzbcIYzYKZ44BANjsOHMMAABvQhwDAEAhjoFNwLLUTzyk+U9ga912+0Im3j63sgRZ9mAmjx1W9ssZmb50eZmxkS1fkPqb6rOgeXOeSN3Ygekzti4LmmcCdCziGNh09Pxq6h59snmM2MpbQ24/Z8fccuyxOWf6orLQ5qopC267JGfc2i9n3v7HzH/ozOzbvSM8xVde2FxwTGpPm56nm+P4Pam9fE7mX16bmub5AB2LOAY2Yd3Tb+TncuTgZ3P9tAeytEzdvG2THu/qXO4DsL7EMfA2svJP9ruN+ULG7FYddtE/Iyc/nOXVP+tfeXoObTkUo27Vn/mrXsmCWZdmbPPXrJz/3e9+Ibv1OTF1C5oq8//CeuvOX/N1fQ7P6VfOWrPeZXNz+8Tqetasd80QkOWV2dMycdUwiMptt7GTcvvcdSf+8gWzcuXph7dY/vzU1S+orin1Ew/LsJPrKkvV5eRhfTN4Yn2qW75GUxbUnVjZhs9k7JjyPUdOztzKti5fUJ+6ltt56Om5snm9K601v/LzH3r61alf8MqqJV73swzL2InTMnfZ0sp2jUrtxAeTxeendpdDMrH+odcNq6js+/qrc/qh/Vt8bV2LdZd9P/a7+dHqn736/esq61/9CwTYYMQxsAlbmrk3Xp1rZw/I8aMGp3uZ2virxRl09QOZN/P6nHnoNpl9wZdSe/aCjJh6T+bNfzQzp+yVB0/9bMZcMKuSlZWwq780Y0b9KBl/SxrK/Id/dEsay/pWecP1nvpIhtc1ZP78+WmYdkQWnn10We+iTD/n2Bx7y865ZOajzUNApo1/Ry479pv52dyXKpv+Xzln5Im5ZYdzMnPek5nfcEvG56oc+7Xrm4N1Lctm5YIxR+fshYdlanV98+7JlIEP5tTaL+WC+qYMGffLzJxU/TSx2kyaOS+zxw3JG54/bpydJwddnIbK19945qF57wvV9X42pz64b+oa5q/cziOfy9nN611S6d6HM+X4lvMr+2fquOx0/fh87sLfNJ+tX/70jTll5LG5rPNpuXtedT+clMoPmpHn1GfXcVNTN273MiTmlowb0m3ldjQr+772giwccUXzfpg38/sZ+ODZqR1zaepbxG/jrf+VP+11XuX3U1l/3QnJlePztZ/NXR3wABuKOAY2Hc1nH1edvazeBuSAS1/NkVPOzXFDepSFKgZ/Ih8f3COdanbP4Hc2ZOplDRk8/l9y4l41lSe9rVKz15iMHz80DZf9IvcsXZR7pv40DYO/nPGjd0+31fP/vqyshTdc77iM7l/N8k7p1v/TLdbbmCULq+nYPd27VTO1e/pXgu+h+VdnTL8uyQtLsrBa39t0T7fqM3G33TPm8pmZf+OY9FvrmXl5lt7zi1zWMLSy/jHZq2aryreryV4n/kvGD27IZVNnr8eQkqE58uN7VL5nTQYP7p1lq9f76fRv3pDKdo4et2a9nfpnzI0P56HLP1/mV/bPnvtleL+uaVy4JC/kpfzp1utyU+PfZ/zXDs0Onar74fO5/KEn89C39139guWNLV6z70/cOzWV1Xeq2Tsnjv9yBjf8NFPvWVyWqxg8KmNG9q/8firrH3xIjhyczL7roTxTZgNsKGs9BQN0WGu9Ia9yu/nbGbNvv0o0tdC7R95Vnt2a/lifXzb2zX4Dd2zxhLdVtu/73nRt/FPmPfVIfv/Leem538DsvHqBMr88Wq3FepcvnJf7Gxsz+4wD0nd1rO+aA874ddK4OEte+Nsc+PWv5+DHz03tgD7NQyCur7t5zXCBmv3z9TP3y+MTP5kBzUMJrk3dL1oO9Wjphfzx979LY889M3DnSliv0mnb9N1juzTePy8L3/Ip1JZjkl/Jwnl/SmN+nTMO2HXNi46+B+SM2Y0lflcut6D+5tTV1VVuP8zpI0Y2z1+pKX9+vvpmyL9irHPT/DfY95Ufa/u+2aPrs7l/3nNrzgy32Pfp9M706P035QHAhtXi6Qhgc7E8LyxZvNawifXXN5+fMvu1sd58uyi1NVuVM6gNuX3KJTlnRHLTqWNTO2xUzpj+dGULypnkhjsyZdJpGZFpOfWEkRk24qxMXz3e9s28WM5Ot1LXf8yUB6pDJl73c1SvKLH86Uw/Y1SG1V6cWUuqqdo7B10wJWcOXuulw4az6qw6wEYgjoG3tc67DslhXefljjlPtRif2pQ/L3m+EoXvTd8d35cPHtY3i++Yk8dWL7DqjOq6rTy7Oe8tXCWje/rte3hqP/XVXP7g7ZWofCSTr5q5ZjhAt37Zt7Y2nxr3wzx4+1nNwwmuunthmbnKO7PrBz+UrovvzZzHXirTKpa/kCXPvJyue/TN9n/Vs/mqM+i/yrT6FkMYWlj+p1tz/uTnKy8Crsi3x3wqtbWHZ9+/fTFz567aO53zrm16Vf59Pkv+/Nq3AL6pzn3eYN9Xvuefl1T2z3bZo++2/pMC2p3nHeDtrfvgjDp+QGZPODcXzapegaF6ZYrJmTDhngw4/vAM7d4rQ0cdkQGz/yMTpjy48g16D19Xmf/rsoJ1aF7vXmm88ns5r/lMcCXqFvwmk6pXbKheBaJpfuq+OCy7jb00s5rPBFev6DAzd81NBg/fLb2erssXdxuWsZN+U4ZSLM3cGXdnbvbI8N23q05ooVO6Dz08xw+4p7Jdk1eub/mCzLro3Ex43ZsR18+q9T6bK79zaTljverKHSuvyFGp5+YhDvf+6r6V27ns4dRN+F6uXP3KoUvee/CnM6LrrzPhezc3X8t4+YLbc0b16hPNV8Pokh127pe8vCRLX2hRwM16rtn3F63cD9V9eNGE/8jsAUdk1NCeZTmA9iOOgbe5HhnylUtSd1pNbho1NH377JJho2dl93N+nMlf2WvlG7yGfDGTp/5jMuGQDOjTJwO+8kB2/9QHy9evS1nvtwdm5uhhzeOO+w7758zZ/bTUXXZU+nXuk5HfvDinbf/LjBq2S/pU13vQT7P9aVflstH903mHEfnm1V/J9jcdm2F9V7658KBrt81pdd/L6Oob9l6v2175yuSr1qyv79CMnrN7zqm7JF9p+WbE9VXW++09f5fRzdu5Zv9Ut7NT971z0pRx2em6Y1Zu54BTMqvfkRl38A7JjPr8YenydNphZM678Yoc33R2PlxZpu+wL2fmnmes3A+dOqf3hz+ZMX/3k4z+wOCMrXu8fOOqsu/r1uyH1ftw8hczpPkNgADta4sVFeV+8xsxquPMADZvL2Xu5C/kgAnvzZTffbODfNIcABvSurrXMz6wmVuU6acPT59DV70Rrjr84eZMvvb+MuzC0yTA5sSzPrCZ65WPnTSxxbCCPhlwwA+Tz/2wDLsAYHNiWAUAAJsdwyoAAOBNiGMAACjEMQAAFOIYAAAKcQwAAIU4BgCAQhwDAEAhjgEAoBDHAABQiGMAACjEMQAAFOIYAAAKcQwAAIU4BgCAQhwDAEAhjgEAoBDHAABQiGMAACjEMQAAFOIYAAAKcQwAAIU4BgCAQhwDAEAhjgEAoBDHAABQiGMAACjEMQAAFOIYAAAKcQwAAMUWKyrK/fTps1O5BwAAb2/z5z9Z7q3xmjgGAIDNmWEVAABQiGMAAGiW/H8YPpvIExpt0AAAAABJRU5ErkJggg==\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a(i))\n </div><div class=\"card-body\">\n <p>\n  Any\n  <strong>\n   two\n  </strong>\n  of:\n </p>\n <p>\n  C\n  <sub>\n   60\n  </sub>\n  fullerene: bonded to 3 C\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  diamond: bonded to 4 C ✔\n </p>\n <p>\n  C\n  <sub>\n   60\n  </sub>\n  fullerene: delocalized/resonance\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  diamond: not delocalized / no resonance ✔\n </p>\n <p>\n  C\n  <sub>\n   60\n  </sub>\n  fullerene:\n  <em>\n   sp\n   <sup>\n    2\n   </sup>\n   <strong>\n    AND\n   </strong>\n  </em>\n  diamond:\n  <em>\n   sp\n   <sup>\n    3\n   </sup>\n  </em>\n  ✔\n </p>\n <p>\n  C\n  <sub>\n   60\n  </sub>\n  fullerene: bond angles between 109–120°\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  diamond: 109° ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept \"bonds in fullerene are shorter/stronger/have higher bond order\n   <strong>\n    OR\n   </strong>\n   bonds in diamond longer/weaker/have lower bond order\".\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a(ii))\n </div><div class=\"card-body\">\n <p>\n  diamond giant/network covalent\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  sublimes at higher temperature ✔\n </p>\n <p>\n  C\n  <sub>\n   60\n  </sub>\n  molecular/London/dispersion/intermolecular «forces» ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept “diamond has strong covalent bonds\n   <strong>\n    AND\n   </strong>\n   require more energy to break «than intermolecular forces»” for M1.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  same general formula / C\n  <sub>\n   n\n  </sub>\n  H\n  <sub>\n   2n+2\n  </sub>\n  ✔\n </p>\n <p>\n  differ by CH\n  <sub>\n   2\n  </sub>\n  /common structural unit ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept \"similar chemical properties\".\n  </em>\n </p>\n <p>\n  <em>\n   Accept “gradation/gradual change in physical properties”.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <strong>\n   ALTERNATIVE 1:\n  </strong>\n </p>\n <p>\n  <em>\n   Test:\n  </em>\n </p>\n <p>\n  add bromine «water»/Br\n  <sub>\n   2\n  </sub>\n  (aq) ✔\n </p>\n <p>\n  <em>\n   Result:\n  </em>\n </p>\n <p>\n  «orange/brown/yellow» to colourless/decolourised ✔\n </p>\n <p>\n  <em>\n   <br/>\n   Do not accept “clear” for M2.\n  </em>\n </p>\n <p>\n  <strong>\n   <br/>\n   ALTERNATIVE 2:\n  </strong>\n </p>\n <p>\n  <em>\n   Test:\n  </em>\n </p>\n <p>\n  add «acidified» KMnO\n  <sub>\n   4\n  </sub>\n  ✔\n </p>\n <p>\n  <em>\n   Result:\n  </em>\n </p>\n <p>\n  «purple» to colourless/decolourised/brown ✔\n </p>\n <p>\n  <em>\n   <br/>\n   Accept “colour change” for M2.\n  </em>\n </p>\n <p>\n  <strong>\n   <br/>\n   ALTERNATIVE 3:\n  </strong>\n </p>\n <p>\n  <em>\n   Test:\n  </em>\n </p>\n <p>\n  add iodine /\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mtext>\n     I\n    </mtext>\n    <mn>\n     2\n    </mn>\n   </msub>\n  </math>\n  ✔\n </p>\n <p>\n  <em>\n   Result:\n  </em>\n </p>\n <p>\n  «brown» to colourless/decolourised ✔\n  <br/>\n  <br/>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(ii))\n </div><div class=\"card-body\">\n <p>\n  CH\n  <sub>\n   3\n  </sub>\n  CH=CHCH\n  <sub>\n   3\n  </sub>\n  + HBr (g) → CH\n  <sub>\n   3\n  </sub>\n  CH\n  <sub>\n   2\n  </sub>\n  CHBrCH\n  <sub>\n   3\n  </sub>\n </p>\n <p>\n  Correct reactants ✔\n </p>\n <p>\n  Correct products  ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept molecular formulas for both reactants and product\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(iii))\n </div><div class=\"card-body\">\n <p>\n  «electrophilic» addition/EA ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept nucleophilic or free radical addition.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (f(i))\n </div><div class=\"card-body\">\n <p>\n  bond breaking: C–H + Cl–Cl / 414 «kJ mol\n  <sup>\n   –1\n  </sup>\n  » + 242 «kJ mol\n  <sup>\n   –1\n  </sup>\n  »/656 «kJ»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  bond breaking: 4C–H + Cl–Cl / 4 × 414 «kJ mol\n  <sup>\n   –1\n  </sup>\n  » + 242 «kJ mol\n  <sup>\n   –1\n  </sup>\n  » / 1898 «kJ» ✔\n </p>\n <p>\n </p>\n <p>\n  bond forming: «C–Cl + H–Cl / 324 kJ mol\n  <sup>\n   –1\n  </sup>\n  + 431 kJ mol\n  <sup>\n   –1\n  </sup>\n  » / 755 «kJ»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  bond forming: «3C–H + C–Cl + H–Cl / 3 × 414 «kJ mol\n  <sup>\n   –1\n  </sup>\n  » + 324 «kJ mol\n  <sup>\n   –1\n  </sup>\n  » + 431 kJ mol\n  <sup>\n   –1\n  </sup>\n  » / 1997 «kJ» ✔\n </p>\n <p>\n </p>\n <p>\n  «ΔH = bond breaking – bond forming = 656 kJ – 755 kJ» = –99 «kJ» ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [3]\n   </strong>\n   for correct final answer.\n  </em>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2 max]\n   </strong>\n   for 99 «kJ».\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (f(ii))\n </div><div class=\"card-body\">\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n  reactants at higher enthalpy than products ✔\n </p>\n <p>\n  <br/>\n  ΔH/-99 «kJ» labelled on arrow from reactants to products\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  activation energy/\n  <em>\n   E\n  </em>\n  <sub>\n   a\n  </sub>\n  labelled on arrow from reactant to top of energy profile ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept a double headed arrow between reactants and products labelled as ΔH for M2.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a(i))\n </div><div class=\"card-body\">\n <p>\n  A challenging question, requiring accurate knowledge of the bonding in these allotropes (some referred to graphite, clearly the most familiar allotrope). The most frequent (correct) answer was the difference in number of bonded C atoms and hybridisation in second place. However, only 30% got a mark.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a(ii))\n </div><div class=\"card-body\">\n <p>\n  Again, this was a struggle between intermolecular forces and covalent bonds and this proved to be even harder than (a)(i) with only 25% of candidates getting full marks. The distinction between giant covalent/covalent network in diamond and molecular in C60 and hence resultant sublimation points, was rarely explained. There were many general and vague answers given, as well as commonly (incorrectly) stating that intermolecular forces are present in diamond. As another example of insufficient attention to the question itself, many candidates failed to say which would sublime at a higher temperature and so missed even one mark.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  This easy question was quite well answered; same/similar physical properties and empirical formula were common errors.\n </p>\n <p>\n  Candidates misinterpreted the question and mentioned CH3\n  <sup>\n   +\n  </sup>\n  , i.e., the lost fragment; the other very common error was -COOH which shows a complete lack of understanding of MS considering the question is about butane so O should never appear.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Well answered by most, but some basic chemistry was missing when reporting results, perhaps as a result of little practical work due to COVID. A significant number suggested IR spectrometry, very likely because the question followed one on H NMR spectroscopy, thus revealing a failure to read the question properly (which asks for a test). Some teachers felt that adding \"chemical\" would have avoided some confusion.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(ii))\n </div><div class=\"card-body\">\n <p>\n  Well done in general and most candidates wrote correct reagents, eventually losing a mark when considering H\n  <sub>\n   2\n  </sub>\n  to be a product alongside 2-bromobutane.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(iii))\n </div><div class=\"card-body\">\n <p>\n  Very well answered, some mentioned halogenation which is a different reaction.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (f(i))\n </div><div class=\"card-body\">\n <p>\n  Only the very weak candidates were unable to calculate the enthalpy change correctly, eventually missing 1 mark for inverted calculations.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (f(ii))\n </div><div class=\"card-body\">\n <p>\n  Most candidates drew correct energy profiles, consistent with the sign of the energy change calculated in the previous question. And again, only very weak candidate failed to get at least 1 mark for correct profiles.\n </p>\n</div>\n",
    "topics": [
      "reactivity-1-what-drives-chemical-reactions",
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-1-models-of-the-particulate-nature-of-matter",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter",
      "tools"
    ],
    "subtopics": [
      "reactivity-1-2-energy-cycles-in-reactions",
      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
      "reactivity-3-4-electron-pair-sharing-reactions",
      "structure-1-1-introduction-to-the-particulate-nature-of-matter",
      "structure-2-2-the-covalent-model",
      "structure-3-2-functional-groups-classification-of-organic-compounds",
      "tool-1-experimental-techniques"
    ]
  },
  {
    "question_id": "22N.2.SL.TZ0.4",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Deduce the structural and empirical formulas of\n   <strong>\n    B\n   </strong>\n   .\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain, with reference to Le Châtelier’s principle, the effect of using dilute rather than concentrated sulfuric acid as the catalyst on the yield of the reaction.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain, with reference to intermolecular forces, why\n   <strong>\n    B\n   </strong>\n   is more volatile than\n   <strong>\n    A\n   </strong>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Compound\n   <strong>\n    A\n   </strong>\n   can also react with bromine. Describe the change observed if\n   <strong>\n    A\n   </strong>\n   is reacted with bromine.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Structure:\n  </em>\n </p>\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n  ester functional group ✔\n </p>\n <p>\n  rest of structure ✔\n </p>\n <p>\n  <br/>\n  <em>\n   Empirical Formula:\n  </em>\n </p>\n <p>\n  C\n  <sub>\n   3\n  </sub>\n  H\n  <sub>\n   5\n  </sub>\n  O ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept condensed/skeletal formula.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Structure:\n  </em>\n </p>\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n  ester functional group ✔\n </p>\n <p>\n  rest of structure ✔\n </p>\n <p>\n  <br/>\n  <em>\n   Empirical Formula:\n  </em>\n </p>\n <p>\n  C\n  <sub>\n   3\n  </sub>\n  H\n  <sub>\n   5\n  </sub>\n  O ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept condensed/skeletal formula.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.ii)\n </div><div class=\"card-body\">\n <p>\n  dilute adds «excess» water\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  water is a product ✔\n </p>\n <p>\n </p>\n <p>\n  shift left\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  decreases yield ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.iii)\n </div><div class=\"card-body\">\n <p>\n  <strong>\n   A\n  </strong>\n  has hydrogen bonding/bonds «and dipole-dipole and London/dispersion forces»\n  <strong>\n   <em>\n    AND\n   </em>\n   B\n  </strong>\n  has dipole-dipole «and London/dispersion forces»\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  <strong>\n   A\n  </strong>\n  has hydrogen bonding/bonds\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  <strong>\n   B\n  </strong>\n  does not ✔\n </p>\n <p>\n </p>\n <p>\n  intermolecular forces are weaker in\n  <strong>\n   B\n  </strong>\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  hydrogen bonding/bonds stronger «than dipole-dipole» ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  brown/orange/red/yellow to colourless ✔\n </p>\n <p>\n  <br/>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept clear for colourless.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  A question that discriminated well between high-scoring and low-scoring candidates. The average mark on this three-mark question was 1.3. The majority of candidates did not recognize it as an esterification reaction and the ester functional group was only seen in a small proportion of the scripts. Some candidates earned a mark for the remainder of the structure. Only about half of the candidates earned error carried forward for the mark allocated for the empirical formula. Some candidates had the molecular formula instead, and some candidates miscounted the numbers of atoms in the structure they drew.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  A question that discriminated well between high-scoring and low-scoring candidates. The average mark on this three-mark question was 1.3. The majority of candidates did not recognize it as an esterification reaction and the ester functional group was only seen in a small proportion of the scripts. Some candidates earned a mark for the remainder of the structure. Only about half of the candidates earned error carried forward for the mark allocated for the empirical formula. Some candidates had the molecular formula instead, and some candidates miscounted the numbers of atoms in the structure they drew.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.ii)\n </div><div class=\"card-body\">\n <p>\n  This was the most challenging question on the paper according to the difficulty index. Many candidates stated that catalysts do not affect the position of an equilibrium and hence the yield is not changed. Some candidates stated that the rate of reaction would be slower and the yield per unit time would be lower. Only a few candidates recognized that the dilute sulfuric acid catalyst would introduce more water, and since water is a product it would shift the equilibrium to the left and lower the yield of the ester. 23% of the candidates did not answer the question. Some teachers commented in their feedback that it was not fair to expect the students to know about the dehydrating property of H\n  <sub>\n   2\n  </sub>\n  SO\n  <sub>\n   4\n  </sub>\n  , but this was not intended. The students were expected to deduce the effect.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.iii)\n </div><div class=\"card-body\">\n <p>\n  This question about intermolecular forces discriminated well between high-achieving and low-achieving candidates. Stronger candidates showed excellent understanding of the types of intermolecular forces found between the molecules of each compound and how they compared in strength. They gave more detail than the markscheme required. The average mark on the question was 0.8 out of 2. 21% of the candidates left the question blank. Error carried forward was applied whenever it was possible based on the answer in (a)(i).\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Although it was a straightforward organic question, 22% of the candidates left it blank, indicating less confidence in answering the organic chemistry questions. 40% of the candidates gained the mark for the decolourization of bromine. One of the common mistakes was reversing the colour change and another was using the term \"clear\" instead of \"colourless\".\n </p>\n</div>\n",
    "topics": [
      "reactivity-2-how-much-how-fast-and-how-far",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "structure-2-models-of-bonding-and-structure",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "reactivity-2-3-how-far-the-extent-of-chemical-change",
      "reactivity-3-4-electron-pair-sharing-reactions",
      "structure-2-2-the-covalent-model",
      "structure-2-4-from-models-to-materials",
      "structure-3-2-functional-groups-classification-of-organic-compounds"
    ]
  },
  {
    "question_id": "22N.2.SL.TZ0.5",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the amount, in mol, of sulfur dioxide produced when 500.0 g of lignite undergoes combustion.\n  </p>\n  <p style=\"text-align:center;\">\n   S (s) + O\n   <sub>\n    2\n   </sub>\n   (g) → SO\n   <sub>\n    2\n   </sub>\n   (g)\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Write an equation that shows how sulfur dioxide can produce acid rain.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Sodium thiosulfate reacts with hydrochloric acid as shown:\n  </p>\n  <p style=\"text-align:center;\">\n   Na\n   <sub>\n    2\n   </sub>\n   S\n   <sub>\n    2\n   </sub>\n   O\n   <sub>\n    3\n   </sub>\n   (aq) + 2HCl (aq) → S (s) + SO\n   <sub>\n    2\n   </sub>\n   (aq) + 2NaCl (aq) + H\n   <sub>\n    2\n   </sub>\n   O (l)\n  </p>\n  <p>\n   The precipitate of sulfur makes the mixture cloudy, so a mark underneath the reaction mixture becomes invisible with time.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\" style=\"display:block;margin-left:auto;margin-right:auto;\"/>\n  </p>\n  <p>\n   Suggest\n   <strong>\n    two\n   </strong>\n   variables, other than concentration, that should be controlled when comparing relative rates at different temperatures.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Discuss\n   <strong>\n    two\n   </strong>\n   different ways to reduce the environmental impact of energy production from coal.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    40\n   </mn>\n   <mo>\n    %\n   </mo>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    500\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n   </mo>\n   <mi>\n    g\n   </mi>\n   <mo>\n    =\n   </mo>\n  </math>\n  » 2.0 «g» ✔\n </p>\n <p>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    2\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n   </mo>\n   <mi>\n    g\n   </mi>\n   <mo>\n    ×\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n     </mo>\n     <mi>\n      m\n     </mi>\n     <mi>\n      o\n     </mi>\n     <mi>\n      l\n     </mi>\n     <mo>\n     </mo>\n     <mi>\n      S\n     </mi>\n    </mrow>\n    <mrow>\n     <mn>\n      32\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      07\n     </mn>\n     <mo>\n     </mo>\n     <mi>\n      g\n     </mi>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    062\n   </mn>\n   <mo>\n   </mo>\n   <mi>\n    m\n   </mi>\n   <mi>\n    o\n   </mi>\n   <mi>\n    l\n   </mi>\n   <mo>\n   </mo>\n   <mi>\n    o\n   </mi>\n   <mi>\n    f\n   </mi>\n   <mo>\n   </mo>\n   <mi>\n    S\n   </mi>\n  </math>\n  » = 0.062 «mol of SO\n  <sub>\n   2\n  </sub>\n  » ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for correct final answer.\n  </em>\n </p>\n <p>\n  <em>\n   Accept 0.063 «mol».\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    40\n   </mn>\n   <mo>\n    %\n   </mo>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    500\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n   </mo>\n   <mi>\n    g\n   </mi>\n   <mo>\n    =\n   </mo>\n  </math>\n  » 2.0 «g» ✔\n </p>\n <p>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    2\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n   </mo>\n   <mi>\n    g\n   </mi>\n   <mo>\n    ×\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n     </mo>\n     <mi>\n      m\n     </mi>\n     <mi>\n      o\n     </mi>\n     <mi>\n      l\n     </mi>\n     <mo>\n     </mo>\n     <mi>\n      S\n     </mi>\n    </mrow>\n    <mrow>\n     <mn>\n      32\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      07\n     </mn>\n     <mo>\n     </mo>\n     <mi>\n      g\n     </mi>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    062\n   </mn>\n   <mo>\n   </mo>\n   <mi>\n    m\n   </mi>\n   <mi>\n    o\n   </mi>\n   <mi>\n    l\n   </mi>\n   <mo>\n   </mo>\n   <mi>\n    o\n   </mi>\n   <mi>\n    f\n   </mi>\n   <mo>\n   </mo>\n   <mi>\n    S\n   </mi>\n  </math>\n  » = 0.062 «mol of SO\n  <sub>\n   2\n  </sub>\n  » ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for correct final answer.\n  </em>\n </p>\n <p>\n  <em>\n   Accept 0.063 «mol».\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  SO\n  <sub>\n   2\n  </sub>\n  (g) + H\n  <sub>\n   2\n  </sub>\n  O (l) → H\n  <sub>\n   2\n  </sub>\n  SO\n  <sub>\n   3\n  </sub>\n  (aq)\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  SO\n  <sub>\n   2\n  </sub>\n  (g) + ½O\n  <sub>\n   2\n  </sub>\n  (g) → SO\n  <sub>\n   3\n  </sub>\n  (g)\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  SO\n  <sub>\n   3\n  </sub>\n  (g) + H\n  <sub>\n   2\n  </sub>\n  O (l) → H\n  <sub>\n   2\n  </sub>\n  SO\n  <sub>\n   4\n  </sub>\n  (aq)\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  SO\n  <sub>\n   2\n  </sub>\n  (g) + ½O\n  <sub>\n   2\n  </sub>\n  (g) + H\n  <sub>\n   2\n  </sub>\n  O (l) → H\n  <sub>\n   2\n  </sub>\n  SO\n  <sub>\n   4\n  </sub>\n  (aq) ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept ionized forms of acids.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Any two of:\n  </em>\n </p>\n <p>\n  depth/volume «of solution» ✔\n </p>\n <p>\n  colour/darkness/thickness/size/background of mark ✔\n </p>\n <p>\n  intensity of lighting in the lab ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept same size flask.\n  </em>\n </p>\n <p>\n  <em>\n   Accept position of observation/person observing.\n  </em>\n </p>\n <p>\n  <em>\n   Accept same equipment/apparatus.\n  </em>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept catalyst/particle size/pressure/time.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Any\n   <strong>\n    two\n   </strong>\n   of:\n  </em>\n </p>\n <p>\n  remove sulfur from coal ✔\n </p>\n <p>\n  add lime during combustion ✔\n </p>\n <p>\n  not allow sulfur oxides to be released into the environment ✔\n </p>\n <p>\n  reduce proportion/percentage of energy/power produced by «the combustion of» coal ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept any valid method to wash coal and remove sulfur content for M1.\n  </em>\n </p>\n <p>\n  <em>\n   Accept any valid combustion/post-combustion method to remove sulfur oxides.\n  </em>\n </p>\n <p>\n  <em>\n   Accept any suggestion that would reduce the amount of coal that is burnt or would reduce the damage caused.\n  </em>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept answers that only reduce production of SO\n   <sub>\n    2\n   </sub>\n   /CO\n   <sub>\n    2\n   </sub>\n   from other fuels.\n  </em>\n </p>\n <p>\n  <em>\n   Accept “improve efficiency of energy production from coal”.\n  </em>\n </p>\n <p>\n  <em>\n   Accept “use coal of lower sulfur content”\n   <strong>\n    OR\n   </strong>\n   “cleaner coal”.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  A question that discriminated well between high-achieving and low-achieving candidates. The majority of the candidates were able to achieve one mark for determining the number of moles using 500g, while stronger candidates determined 0.40% of 500g to determine the correct number of moles. A number of candidates had a power of ten error in the first step.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  A question that discriminated well between high-achieving and low-achieving candidates. The majority of the candidates were able to achieve one mark for determining the number of moles using 500g, while stronger candidates determined 0.40% of 500g to determine the correct number of moles. A number of candidates had a power of ten error in the first step.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  This question was poorly answered and only 30% of the candidates wrote a correct equation for the formation of acid rain from SO\n  <sub>\n   2\n  </sub>\n  . Mistakes included unbalanced equations and hydrogen added as a product.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Most candidates mentioned \"volume\" as a variable that should be controlled gaining one of the two marks, while only a small proportion of candidates seemed to understand how the experiment worked and discussed the lighting in the room and the thickness of the mark. The most common incorrect answer was \"pressure\" which was irrelevant to this experiment.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  Some candidates referred to the pre-combustion and post combustion methods of minimizing the release of SO\n  <sub>\n   2\n  </sub>\n  . Some candidates focused on using cleaner coal, other fuels or renewable energy sources. Some mentioned increasing the efficiency of power stations to reduce the amount of coal burned. Some focused on removing the CO\n  <sub>\n   2\n  </sub>\n  released by planting trees. All these options were valid with sufficient detail. But answers that were not relevant to coal, such as fitting catalytic converters on cars, were not accepted. 15% of the candidates did not answer the question, and the average mark was 0.8 out of 2 marks.\n </p>\n</div>\n",
    "topics": [
      "inquiry",
      "reactivity-1-what-drives-chemical-reactions",
      "reactivity-2-how-much-how-fast-and-how-far",
      "structure-3-classification-of-matter"
    ],
    "subtopics": [
      "inquiry-1-exploring-and-designing",
      "reactivity-1-3-energy-from-fuels",
      "reactivity-2-1-how-much-the-amount-of-chemical-change",
      "structure-3-1-the-periodic-table-classification-of-elements"
    ]
  },
  {
    "question_id": "23M.2.HL.TZ1.1",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Deduce the ionic equation, including state symbols, for the reaction of hydrogen chloride gas with water.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  H\n  <sub>\n   2\n  </sub>\n  O\n  <sub>\n   (l)\n  </sub>\n  + HCl\n  <sub>\n   (g)\n  </sub>\n  → Cl\n  <sup>\n   −\n  </sup>\n  <sub>\n   (aq)\n  </sub>\n  + H\n  <sub>\n   3\n  </sub>\n  O\n  <sup>\n   +\n  </sup>\n  <sub>\n   (aq) ✓✓\n  </sub>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   One for the equation and one for the state symbols.\n   <br/>\n   Do not accept\n  </em>\n  H\n  <sub>\n   2\n  </sub>\n  O\n  <sub>\n   (l)\n  </sub>\n  + H\n  <sup>\n   +\n  </sup>\n  <sub>\n   (g)\n  </sub>\n  →\n  <sub>\n  </sub>\n  H\n  <sub>\n   3\n  </sub>\n  O\n  <sup>\n   +\n  </sup>\n  <sub>\n   (aq)\n  </sub>\n  <em>\n   <br/>\n   Do not accept equilibrium sign.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.HL.TZ1.2",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Annotate and label the ground state orbital diagram of boron, using arrows to represent electrons.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The results are given where ✓ = reaction occurred and\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     x\n    </mi>\n   </math>\n   = no reaction.\n  </p>\n  <table border=\"1\" cellpadding=\"2\" cellspacing=\"0\" style=\"height:171px;\" width=\"552\">\n   <tbody>\n    <tr>\n     <td style=\"width:50.7639px;text-align:center;\">\n      <strong>\n       Metal\n      </strong>\n     </td>\n     <td style=\"width:93.7269px;text-align:center;\">\n      <strong>\n       ASO\n       <sub>\n        4\n       </sub>\n       (aq)\n      </strong>\n     </td>\n     <td style=\"width:93.4954px;text-align:center;\">\n      <strong>\n       BSO\n       <sub>\n        4\n       </sub>\n       (aq)\n      </strong>\n     </td>\n     <td style=\"width:92.8704px;text-align:center;\">\n      <strong>\n       CSO\n       <sub>\n        4\n       </sub>\n       (aq)\n      </strong>\n     </td>\n     <td style=\"width:94.6065px;text-align:center;\">\n      <strong>\n       DSO\n       <sub>\n        4\n       </sub>\n       (aq)\n      </strong>\n     </td>\n     <td style=\"width:92.2685px;text-align:center;\">\n      <strong>\n       ESO\n       <sub>\n        4\n       </sub>\n       (aq)\n      </strong>\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:50.7639px;\">\n      <strong>\n       A\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:93.7269px;\">\n      —\n     </td>\n     <td style=\"text-align:center;width:93.4954px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:92.8704px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:94.6065px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:92.2685px;\">\n      ✓\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:50.7639px;\">\n      <strong>\n       B\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:93.7269px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:93.4954px;\">\n      —\n     </td>\n     <td style=\"text-align:center;width:92.8704px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:94.6065px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:92.2685px;\">\n      ✓\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:50.7639px;\">\n      <strong>\n       C\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:93.7269px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:93.4954px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:92.8704px;\">\n      —\n     </td>\n     <td style=\"text-align:center;width:94.6065px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:92.2685px;\">\n      ✓\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:50.7639px;\">\n      <strong>\n       D\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:93.7269px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:93.4954px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:92.8704px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:94.6065px;\">\n      —\n     </td>\n     <td style=\"text-align:center;width:92.2685px;\">\n      ✓\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:50.7639px;\">\n      <strong>\n       E\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:93.7269px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:93.4954px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:92.8704px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:94.6065px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:92.2685px;\">\n      —\n     </td>\n    </tr>\n   </tbody>\n  </table>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMYAAABDCAYAAADH5no2AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAopSURBVHhe7Z39b1PXGccfx3FenZD3OE5CAo1p0boExg+AOkAqW9sfsgmt0l4o0yao1Emo41/Y/7D+ugp11aTuh27pgDWsiKDREWjCSJagEBMDeWtCEufFSewkdrbzfXxv14Ib28EvB/v5SFd2ri/onnvO93k559xzLP9VkCAI3yDH+BQE4WuIMAQhAiIMQYiACEMQIiDCEIQIiDAEIQIxdddubm7yoWvPrsVi4c/c3Fz+jBeUS/de65ycHO3v06wH3e/RvM+tiEkYa2trFAwGWRw6Yha2qKgopkI/CcoVCoWMv/QDZbJarXyPujY6sw5w6PwsYWBwRGsnWwoDPy0vL9PU1BT5V1ep2G6P+h+mGtxjMLhBfr+f6uvrqbjYzgKJlYcPH9L6+jpXps22PY+TTDY3Ub4gzc3OUnlFORUUFBi/6MX6+gYbUL9/laqqqrjx6cjKyiqVlZVRaWkplZeXG2efZkthwJIuLS3RvNfLlVNRWWn8oheoEJ9viXbs2EF2JV67vcT4JTr379/nEAwNDlZZN1A9EO4Dj4caGhviKlsqWVsLcKNbXFygnTubtHyWYGFhgfLz81R9F1JNTY1x9mmiCmN+fp4bHiyAw+EwftGLQCCgCjzP34uKitkaxIrb7ebrq6urtbRyqB6U7z/9/eTas2dLK5dOVlVEASM6MzNDe/fu3Xa+l2xwfxsb6/zd6aznz0hEbQkInVA5W+gn7eDeEAqFY1zjZIyYoaGucTE/e2WguGzGOR3RvY2YhPNkS1QjKN21ghABEYYgRECEIQgRSJowfCoRW1pcNP6KDcSo6HYdGx3lnhhdY1bkIxsbG3wImUnChYHGjEY94hkh9303N6J4GjgLY2xM60aHno3JyQkaVQIWMpOECwNZP/qK/9bxCf3l44+5qzdWYeA6dPn19/dzF6WuHqO3t4euXLlCly5eMM4ImUbChQGL3/nppzR0b4gHzz777B/k8/mMX6ODbrS8vLyvulF1AkKF8C9dvEQdf+1Qnxd5ZgAGP4XMIqHCQMNB6ITBnoLCQh5sQ8MJhYIxWX/zGh1FAVA2CH9FlQ/TUDBosmAMgAqZRcKFgSM/P5/nLdU31JM1x6rO/b/RR+Vr4tBNIMidEOqhfJge46iro+npaQoosQiZRUKFgTAI85XeOnWKXn31OB09cpR+8uabVFFREdN0CxaW8V1Hr1GovCDm15w9e5beeec3dEqVs23fPm3nkAnbJ+E5BkCjNj2EzWaLr5HH6lnSAMoBgWOCHD7xN+YE6Shi4dlIijAQiwc3NraVlOorizAQARJwlE2S7swlKcJIBLDBulrisDfUXcLCs6CVMLjBaRxKCdmDdh5DZCHogH4eQxA0QCthSN+OoAvaJt+CkE70CqWMT0FIN+IxBCEC2glDEnBBB/QKpUQUgiaIxxCECGgnDEwD4akgMjFPSCP6CQOHiEJIM9oII7xCnLqhnBx+EcgUh4RWQjrQQhho/Di6u7vp8uXL9MWtW3Stq4uGhoZEGEJa0CqUwnYDngceGhkZoYnJCVqMc10qQUgUSRMG7Hysth5hE96KwyuwWJ59fGKMamtqtd5nQchskicMlTPgiAcsH3/w4EFq27efvtvaygsq6Ai/oRgMr0YoZCZJEQasfGVlJVv8eMDeD7t376ZXXvk+/1tddw/Cjk2lpSW8M4+QmSRcGGZY1OJy0Z4XXzTOxkZxcTG1tLTQyZMnebURXcEmMw0NDdTc3GycETKNpHkM7FK0ncb9ZHetjsBTYBkdh6POOCNkGknLMdDAt5s46z7AFy6bVdt95oRnJ2nCSAcy5iEkiqjCQGODBd+u9U8FfH/W7W0Qb+ZEWBhOR/Dcrbm5fI86e1IsPIdDdy9qLpAXrZ3Etp3x/Dx3Teq6Y+j6OrYz9vH9YZ9vbGkcK8PDwywKJP467jSK6sGi0W51n01NTVSqaadEIOCn5eUV8nq93LOo67PE/eXl2TiP3SpHjLoBPlYu5w3w/X5uPDqClcexn4bT6eQV1rHGbKxgqwIYAFhmbD+gG7g3GKWxsVGqq3NqWwfY53t11c8GCuNPOnoOtGfMpigpKVGHnaqqqo1fnmZLYZigYrAcpTnRTzfMUG87vVnwNoHA2ld7mesKihW9ptJPLGFKOsH9wXDCCG4l3piEAUHoXFhgiiNeUDbz0BkRRmIw2wkOfP82YhLGswKPgz0k4GaDoVA4xsvLp/KKCuMKIZlgCgs8IjbxMQ2AOQ9NZy+ZTlIijLm5OfKMjFBvb6+qHB+PHDud9fTD114zrhCSycrKCk1MjFNfXx/nirCU7e0/4qktCD+Fp0mJueB96pTVwkj4/v3fU5UToM7Ov1N39w16/Hiar4Elw6aW6DVA5ensjp8n8BzhqQcHBmkzFPYWAfX833vv99R94wbvEmWCa5FLyrMnsv5OYXxPGgilrMplw0LVOZ00752j8fFxqq11sFjQTz84OMjbdkEYPt8ST7vQve/+eQDPj0PZQIC7s8vKymmHerb/+vw6NTbupF27drFHHx8f422kUQeP1bGqjBN6b/Dvs7EOUhJKPckNZak+v36du/W+8/LL3Etw/vx5nrFaoFw7egx++rOfc0VKDJwcfv2rX6pw6sf0+huvc4g7MDBAU1PT/OzhvV0uF504cYKNWTYKI+WtDhUwODjAb+q1t7eTTXmL4Xv3eKzk0KHD9IuTb9HpM2/HvG+fEB8Y0PzjBx/Q7hdaqNZRS7m5NnIPu1kUEMG5c+fI1dJC3tlZ+vNHH3F+ko2krOWhV2RubpZ6er5QIVIuHTt2jApVRaB3BFO4MVo6OTlBt2/3qmt6vtGDIiSGB8oYeTwjKhGfoCNHjlBTUzOvyoLnbNYDBhDhyRHizszMqLwkFP7HWUZKhIFobWVlmfOKO3fu8AtI2NUVOUSlqpCm5mba+9JLLIybN29SV9dVWlpalD3uEoSZVN9TnvmBx0MLiwv8MlhjYyOSELLkWKi6uopnDmAqR01tLZWqPARJ+2aWJuIpEQYEceHCRfrtu+9SW1sbV8LU1Jc8BwtD9Ki4o8qDnD79Ngump6eXRkfHZDGEBIFk+pOODvrThx9yz9+Z02fIqxJuTPcBucqDu91u9tboEezru0OPHj2kxp2NSijZObU+JcJAr0hpSQm1trZy7wiEcvfuXW74qBxU1rVrXXT16lUliEd0+PBhtl7xTAYUvp119fxnVc5QVV3NdXHr1k365/Xr6lmP8u88lUZ9LihDdbmzk6ZVvlFiL1E53yGVjGfnOEdKhAH3jErBGAbe7ENSjZyD41flLUKhIFfc7OwM/qQDBw7wO+O6vvP9vIHnjcb/gkqq8VyXVIg07/XybASAUMqWZ1PXWejLqSm+ttbhIJdrj7bT8ZNNWrprBX1A6PT++39g7+xQYjh+/AcyfqQQYWQ5mLJ/+/a/2TPY7ViMwpX1ogAp664V9MRiyeGuWgym2lVeIaIARP8DF2fCL1JhzcsAAAAASUVORK5CYII=\"/>\n </p>\n <p>\n  arrows\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  identifies 2s\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  2p sub orbitals ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept “hooks” to represent the electrons.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  +2/II ✓\n </p>\n <p>\n  <br/>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept A\n   <sup>\n    2+\n   </sup>\n   , A\n   <sup>\n    +2\n   </sup>\n   , 2\n   <strong>\n    OR\n   </strong>\n   2+.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.HL.TZ1.3",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the meaning of homologous series.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   High-pressure carbon monoxide disproportionation (HiPco) produces carbon atoms that react with nano catalysts to produce carbon nanotubes.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  compounds of the same family\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  general formula\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  compounds of the same family\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  differ by a common structural unit/\n  <em>\n   CH\n  </em>\n  <sub>\n   2\n  </sub>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept contains the same functional group for same family.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  2CO(g) → C(s) + CO\n  <sub>\n   2\n  </sub>\n  (g) ✓\n </p>\n <p>\n  <br/>\n  <em>\n   Accept reversible arrows.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.HL.TZ1.4",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the oxidation state of sulfur in copper (II) sulfate.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain why metals alloyed with another metal are usually harder and stronger but poorer conductors than the pure metal.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  +6/VI ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept 6/6\n   <sup>\n    +\n   </sup>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  metal ions/atoms have different sizes ✓\n  <br/>\n  cations/atoms/layers do not slide over each other as easily ✓\n  <br/>\n  «irregularities» obstruct free movement of electrons ✓\n </p>\n <p>\n  <br/>\n  <em>\n   Accept electrons move less easily/less delocalized for M3.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.HL.TZ1.5",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw\n   <strong>\n    one\n   </strong>\n   Lewis (electron dot) structure of the sulfate ion.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The\n   <em>\n    K\n   </em>\n   <sub>\n    sp\n   </sub>\n   of copper (II) hydroxide is 2.2 × 10\n   <sup>\n    −20\n   </sup>\n   . Calculate the molar solubility of Cu\n   <sup>\n    2+\n   </sup>\n   (aq) ions in a solution of pH 9.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept any combination of dots, crosses and lines.\n   <br/>\n   Double bonds do not have to be opposite each other.\n   <br/>\n   Do\n   <strong>\n    not\n   </strong>\n   penalise missing square brackets.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   K\n  </em>\n  <sub>\n   sp\n  </sub>\n  =[Cu\n  <sup>\n   2+\n  </sup>\n  ][OH\n  <sup>\n   −\n  </sup>\n  ]\n  <sup>\n   2\n  </sup>\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  2.2 × 10\n  <sup>\n   −20\n  </sup>\n  =[Cu\n  <sup>\n   2+\n  </sup>\n  ] × (10\n  <sup>\n   −5\n  </sup>\n  )\n  <sup>\n   2\n  </sup>\n  ✓\n </p>\n <p>\n  [Cu2+] «= Ksp/[OH−]2 =2.2 x 10−20/(10−5)2»\n  <br/>\n  = 2.2 ×10\n  <sup>\n   −10\n  </sup>\n  «mol dm\n  <sup>\n   −3\n  </sup>\n  » ✓\n </p>\n <p>\n  <br/>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for correct final answer.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.HL.TZ1.6",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the standard enthalpy of reaction (\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mtext>\n     Δ\n    </mtext>\n    <msubsup>\n     <mi>\n      H\n     </mi>\n     <mtext>\n      r\n     </mtext>\n     <mo>\n      ⦵\n     </mo>\n    </msubsup>\n   </math>\n   ), in kJ mol\n   <sup>\n    −1\n   </sup>\n   , for the oxidation of SO\n   <sub>\n    2\n   </sub>\n   to SO\n   <sub>\n    3\n   </sub>\n   .\n  </p>\n  <table border=\"1\" cellpadding=\"2\" cellspacing=\"0\" style=\"width:500px;height:127px;margin-left:90px;\">\n   <tbody>\n    <tr>\n     <td style=\"width:106.91px;text-align:center;\">\n      <strong>\n       Substance\n      </strong>\n     </td>\n     <td style=\"width:380.208px;text-align:center;\">\n      <strong>\n       Enthalpy of formation, (\n       <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n        <mtext mathvariant=\"bold\">\n         Δ\n        </mtext>\n        <msubsup>\n         <mi mathvariant=\"bold-italic\">\n          H\n         </mi>\n         <mtext mathvariant=\"bold\">\n          f\n         </mtext>\n         <mo mathvariant=\"bold\">\n          ⦵\n         </mo>\n        </msubsup>\n       </math>\n       ), in kJ mol\n       <sup>\n        −1\n       </sup>\n      </strong>\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:106.91px;\">\n      SO\n      <sub>\n       2\n      </sub>\n     </td>\n     <td style=\"text-align:center;width:380.208px;\">\n      −296.8\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:106.91px;\">\n      SO\n      <sub>\n       3\n      </sub>\n     </td>\n     <td style=\"text-align:center;width:380.208px;\">\n      −395.8\n     </td>\n    </tr>\n   </tbody>\n  </table>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline why vitamins usually need to be obtained from food sources.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  «Δ\n  <em>\n   H\n  </em>\n  °\n  <em>\n   rxn\n  </em>\n  = ΣΔ\n  <em>\n   H\n  </em>\n  °f (Products) − ΣΔ\n  <em>\n   H\n  </em>\n  °f (Reactants) =»\n  <br/>\n  −395.8 − (−296.8)» = −99.0«kJ mol\n  <sup>\n   −1\n  </sup>\n  » ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  cannot be synthesized «by the human body» ✓\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.HL.TZ1.7",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Deduce the number of signals you would expect to find in the\n   <sup>\n    1\n   </sup>\n   H NMR spectrum of each compound.\n  </p>\n  <p>\n   <img 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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Glucose, an isomer of fructose, exists as two isomeric ring forms. Annotate the diagram below to complete the structure of β-glucose. Use section 34 of the data booklet.\n  </p>\n  <p style=\"text-align:center;\">\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <table border=\"1\" cellpadding=\"2\" cellspacing=\"0\" style=\"height:88px;\" width=\"313\">\n  <tbody>\n   <tr>\n    <td style=\"width:148.275px;\">\n     Name\n    </td>\n    <td style=\"width:151.852px;\">\n     Number of signals\n    </td>\n   </tr>\n   <tr>\n    <td style=\"width:148.275px;\">\n     Ethyl methanoate\n    </td>\n    <td style=\"width:151.852px;\">\n     3\n    </td>\n   </tr>\n   <tr>\n    <td style=\"width:148.275px;\">\n     Methyl ethanoate\n    </td>\n    <td style=\"width:151.852px;\">\n     <em>\n      <strong>\n       AND\n      </strong>\n     </em>\n     2\n    </td>\n   </tr>\n  </tbody>\n </table>\n <p>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Entire structure must be correct to score the mark.\n  </em>\n </p>\n <p>\n  <em>\n   Ignore incorrect connectivity.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.HL.TZ1.9",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain why a colorimeter set at a wavelength of 500 nm is not suitable to investigate reactions of Zn\n   <sup>\n    2+\n   </sup>\n   compounds. Use section 3 of the data booklet.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the\n   <strong>\n    three\n   </strong>\n   components of a monomer of DNA (a nucleotide).\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Zn\n  <sup>\n   2+\n  </sup>\n  does not form coloured compounds/ has a complete d subshell/orbital  ✓\n  <br/>\n  <br/>\n  500 nm/«the setting on the colorimeter» in visible region\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  no absorbance will be seen  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  phosphate\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  deoxyribose\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  nitrogenous base ✓\n </p>\n <p>\n  <br/>\n  <em>\n   Accept named base.\n   <br/>\n   Do\n   <strong>\n    not\n   </strong>\n   accept ‘sugar’ or ‘pentose sugar’ in place of deoxyribose.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.HL.TZ2.1",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   An unknown organic compound,\n   <strong>\n    X\n   </strong>\n   , comprising of only carbon, hydrogen and oxygen was found to contain 48.6 % of carbon and 43.2 % of oxygen.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  «n(C) =» 4.05 «mol»\n  <br/>\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  <br/>\n  «n(O) =» 2.70 «mol» ✓\n </p>\n <p>\n  «% H =» 8.2 %\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  «n(H) =» 8.12 «mol» ✓\n </p>\n <p>\n  «empirical formula =» C\n  <sub>\n   3\n  </sub>\n  H\n  <sub>\n   6\n  </sub>\n  O\n  <sub>\n   2\n  </sub>\n  ✓\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for the simplest ratio ″1.5 C: 3 H: 1 O″.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.HL.TZ2.2",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Nitrogen (IV) oxide exists in equilibrium with dinitrogen tetroxide, N\n   <sub>\n    2\n   </sub>\n   O\n   <sub>\n    4\n   </sub>\n   (g), which is colourless.\n  </p>\n  <p style=\"text-align:center;\">\n   2NO\n   <sub>\n    2\n   </sub>\n   (g) ⇌ N\n   <sub>\n    2\n   </sub>\n   O\n   <sub>\n    4\n   </sub>\n   (g)\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   All species are almost colourless except for MnO\n   <sub>\n    4\n   </sub>\n   <sup>\n    −\n   </sup>\n   , which has an intense purple colour, though the kale extract is coloured by the chlorophyll present.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  reaction hardly proceeds\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  reverse reaction/formation of NO\n  <sub>\n   2\n  </sub>\n  is favoured\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  «concentration of» reactants greater than «concentration of» products «at equilibrium» ✓\n </p>\n <p>\n  <em>\n   Accept equilibrium lies to the left.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  green to purple\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  green to brown\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  green to purple-green ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept “colourless to purple”.\n   <br/>\n   Accept “green to grey/blueish”.\n   <br/>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “clear” for “colourless”.\n   <br/>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “purple to “brown”.\n   <br/>\n   Do\n   <strong>\n    not\n   </strong>\n   accept blue as final colour.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.HL.TZ2.3",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   An electrolytic cell was set up using inert electrodes and a dilute aqueous solution of magnesium chloride, MgCl\n   <sub>\n    2\n   </sub>\n   (aq).\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n  electron flow from anode to battery\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  from battery to cathode ✓\n </p>\n <p>\n  Mg\n  <sup>\n   2+\n  </sup>\n  /H\n  <sup>\n   +\n  </sup>\n  ions to − electrode\n  <br/>\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  <br/>\n  Cl\n  <sup>\n   −\n  </sup>\n  /OH\n  <sup>\n   −\n  </sup>\n  ions to + electrode ✓\n </p>\n <p>\n  <em>\n   Do not award M1 if electrons are shown in electrolyte.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.HL.TZ2.4",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Bismuth has atomic number 83. Deduce\n   <strong>\n    two\n   </strong>\n   pieces of information about the electron configuration of bismuth from its position on the periodic table.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how a substance in the same phase as the reactants can reduce the activation energy and act as a catalyst.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Any two of the following:\n  </em>\n  <br/>\n  «group 15 so Bi has» 5 valence electrons ✓\n  <br/>\n  «period 6 so Bi has» 6 «occupied» electron shells/energy levels ✓\n  <br/>\n  «in p-block so» p orbitals are highest occupied ✓\n  <br/>\n  occupied d/f orbitals ✓\n  <br/>\n  has unpaired electrons ✓\n  <br/>\n  has incomplete shell(s)/subshell(s) ✓\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [1]\n   </strong>\n   for full or condensed electron configuration, [Xe] 4f\n   <sup>\n    14\n   </sup>\n   5d\n   <sup>\n    10\n   </sup>\n   6s\n   <sup>\n    2\n   </sup>\n   6p\n   <sup>\n    3\n   </sup>\n   .\n   <br/>\n  </em>\n </p>\n <p>\n  <em>\n   Accept other valid statements about the electron configuration.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  forms an intermediate/activated complex ✓\n  <br/>\n  «intermediate/activated complex» dissociates to form product «\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  catalyst» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept correct annotated energy profile for either mark.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.HL.TZ2.5",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The concentration of methanoic acid was found by titration with a 0.200 mol dm\n   <sup>\n    −\n    <span style=\"font-size:11.6667px;\">\n     3\n    </span>\n   </sup>\n   standard solution of sodium hydroxide, NaOH (aq), using an indicator to determine the end point.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The unit cell of lead (II) sulfide is shown:\n  </p>\n  <p style=\"text-align:center;\">\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  «[OH\n  <sup>\n   −\n  </sup>\n  ] = 0.200 mol dm\n  <sup>\n   −3\n  </sup>\n  »\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1:\n   </strong>\n  </em>\n  <br/>\n  «pOH = −log\n  <sub>\n   10\n  </sub>\n  (0.200) =» 0.699 ✓\n  <br/>\n  «pH = 14.000 − 0.699 =» 13.301 ✓\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 2:\n   </strong>\n  </em>\n  <br/>\n  «[H\n  <sup>\n   +\n  </sup>\n  ] =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      00\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        14\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      200\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  = » 5.00 × 10\n  <sup>\n   −14\n  </sup>\n  «mol dm\n  <sup>\n   −3\n  </sup>\n  » ✓\n  <br/>\n  «pH = −log\n  <sub>\n   10\n  </sub>\n  (5.00 × 10\n  <sup>\n   −14\n  </sup>\n  )» = 13.301 ✓\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for correct final answer.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  6 ✓\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.HL.TZ2.7",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Identify the type of reaction.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe the interactions between amino acids occurring at the primary, secondary and tertiary levels within a protein.\n  </p>\n  <table border=\"1\" cellpadding=\"5\" cellspacing=\"0\" style=\"height:146px;\" width=\"500\">\n   <tbody>\n    <tr>\n     <td style=\"text-align:center;width:150.898px;\">\n      <strong>\n       Structure Level\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:335.143px;\">\n      <strong>\n       Interactions between amino acids\n      </strong>\n     </td>\n    </tr>\n    <tr>\n     <td style=\"width:150.898px;\">\n      Primary\n     </td>\n     <td style=\"width:335.143px;text-align:center;\">\n      ...........................................................\n     </td>\n    </tr>\n    <tr>\n     <td style=\"width:150.898px;\">\n      Secondary\n     </td>\n     <td style=\"width:335.143px;text-align:center;\">\n      ...........................................................\n     </td>\n    </tr>\n    <tr>\n     <td style=\"width:150.898px;\">\n      Tertiary\n     </td>\n     <td style=\"width:335.143px;text-align:center;\">\n      ...........................................................\n     </td>\n    </tr>\n   </tbody>\n  </table>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  «electrophilic» addition/A\n  <sub>\n   E\n  </sub>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept nucleophilic addition.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <table border=\"1\" cellpadding=\"5\" cellspacing=\"0\" style=\"height:146px;width:530.866px;\">\n  <tbody>\n   <tr>\n    <td style=\"text-align:center;width:150px;\">\n     <strong>\n      Structure Level\n     </strong>\n    </td>\n    <td style=\"text-align:center;width:365.866px;\">\n     <strong>\n      Interactions between amino acids\n     </strong>\n    </td>\n   </tr>\n   <tr>\n    <td style=\"width:150px;\">\n     Primary\n    </td>\n    <td style=\"width:365.866px;text-align:left;\">\n     covalent bonding\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     peptide bond\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     amide bond ✓\n    </td>\n   </tr>\n   <tr>\n    <td style=\"width:150px;\">\n     Secondary\n    </td>\n    <td style=\"width:365.866px;text-align:left;\">\n     hydrogen bonding ✓\n    </td>\n   </tr>\n   <tr>\n    <td style=\"width:150px;\">\n     Tertiary\n    </td>\n    <td style=\"width:365.866px;text-align:left;\">\n     interactions between R groups/side chains\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     ionic/electrostatic «attraction»\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     hydrogen bonding\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     hydrophobic interactions\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     disulfide bridges\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     London/dispersion/van der Waals/«instantaneous» induced dipole-induced dipole ✓\n    </td>\n   </tr>\n  </tbody>\n </table>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “amino acid sequence” for M1.\n   <br/>\n  </em>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “alpha helix”\n   <strong>\n    OR\n   </strong>\n   “beta sheets” for M2.\n   <br/>\n  </em>\n </p>\n <p>\n  <em>\n   Accept “covalent bonding” for M3.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.HL.TZ2.8",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Enthalpy of solution, enthalpy of hydration and lattice enthalpy are related in an energy cycle.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Compare the hydrolytic and oxidative rancidity and contrast the site where the chemical changes occur.\n  </p>\n  <p>\n  </p>\n  <p>\n   Compare rancidity: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n  </p>\n  <p>\n   . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n  </p>\n  <p>\n   Contrast reaction site: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n  </p>\n  <p>\n   . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n  correct boxes ✓\n  <br/>\n  A: enthalpy of solution / Δ\n  <em>\n   H\n  </em>\n  solution / Δ\n  <em>\n   H\n  </em>\n  sol\n  <br/>\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  <br/>\n  B: lattice enthalpy / Δ\n  <em>\n   H\n  </em>\n  lattice\n  <br/>\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  <br/>\n  C: enthalpy of hydration / Δ\n  <em>\n   H\n  </em>\n  hydration ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Compare rancidity:\n  </em>\n  <br/>\n  «both produce» disagreeable smell/taste/texture/appearance ✓\n </p>\n <p>\n  <em>\n   Contrast reaction site:\n  </em>\n  <br/>\n  hydrolytic reaction occurs at ester link/COOC link\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  oxidative reaction occurs at carbon-carbon double bond/C=C ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “double bond” alone for oxidative reaction site.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.SL.TZ1.2",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Annotate and label the ground state orbital diagram of boron, using arrows to represent electrons.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The results are given where ✓ = reaction occurred and\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     x\n    </mi>\n   </math>\n   = no reaction.\n  </p>\n  <table border=\"1\" cellpadding=\"2\" cellspacing=\"0\" style=\"height:171px;\" width=\"552\">\n   <tbody>\n    <tr>\n     <td style=\"width:50.7639px;text-align:center;\">\n      <strong>\n       Metal\n      </strong>\n     </td>\n     <td style=\"width:93.7269px;text-align:center;\">\n      <strong>\n       ASO\n       <sub>\n        4\n       </sub>\n       (aq)\n      </strong>\n     </td>\n     <td style=\"width:93.4954px;text-align:center;\">\n      <strong>\n       BSO\n       <sub>\n        4\n       </sub>\n       (aq)\n      </strong>\n     </td>\n     <td style=\"width:92.8704px;text-align:center;\">\n      <strong>\n       CSO\n       <sub>\n        4\n       </sub>\n       (aq)\n      </strong>\n     </td>\n     <td style=\"width:94.6065px;text-align:center;\">\n      <strong>\n       DSO\n       <sub>\n        4\n       </sub>\n       (aq)\n      </strong>\n     </td>\n     <td style=\"width:92.2685px;text-align:center;\">\n      <strong>\n       ESO\n       <sub>\n        4\n       </sub>\n       (aq)\n      </strong>\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:50.7639px;\">\n      <strong>\n       A\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:93.7269px;\">\n      —\n     </td>\n     <td style=\"text-align:center;width:93.4954px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:92.8704px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:94.6065px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:92.2685px;\">\n      ✓\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:50.7639px;\">\n      <strong>\n       B\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:93.7269px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:93.4954px;\">\n      —\n     </td>\n     <td style=\"text-align:center;width:92.8704px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:94.6065px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:92.2685px;\">\n      ✓\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:50.7639px;\">\n      <strong>\n       C\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:93.7269px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:93.4954px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:92.8704px;\">\n      —\n     </td>\n     <td style=\"text-align:center;width:94.6065px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:92.2685px;\">\n      ✓\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:50.7639px;\">\n      <strong>\n       D\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:93.7269px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:93.4954px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:92.8704px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:94.6065px;\">\n      —\n     </td>\n     <td style=\"text-align:center;width:92.2685px;\">\n      ✓\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:50.7639px;\">\n      <strong>\n       E\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:93.7269px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:93.4954px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:92.8704px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:94.6065px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:92.2685px;\">\n      —\n     </td>\n    </tr>\n   </tbody>\n  </table>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n  arrows\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  identifies 2s\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  2p sub orbitals ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept “hooks” to represent the electrons.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  +2/II ✓\n </p>\n <p>\n  <br/>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept A\n   <sup>\n    2+\n   </sup>\n   , A\n   <sup>\n    +2\n   </sup>\n   , 2\n   <strong>\n    OR\n   </strong>\n   2+.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.SL.TZ1.3",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the meaning of homologous series.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   High-pressure carbon monoxide disproportionation (HiPco) produces carbon atoms that react with nano catalysts to produce carbon nanotubes.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  compounds of the same family\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  general formula\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  compounds of the same family\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  differ by a common structural unit/\n  <em>\n   CH\n  </em>\n  <sub>\n   2\n  </sub>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept contains the same functional group for same family.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  2CO(g) → C(s) + CO\n  <sub>\n   2\n  </sub>\n  (g) ✓\n </p>\n <p>\n  <br/>\n  <em>\n   Accept reversible arrows.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.SL.TZ1.4",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the oxidation state of sulfur in copper (II) sulfate.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain why metals alloyed with another metal are usually harder and stronger but poorer conductors than the pure metal.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  +6/VI ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept 6/6\n   <sup>\n    +\n   </sup>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  metal ions/atoms have different sizes ✓\n  <br/>\n  cations/atoms/layers do not slide over each other as easily ✓\n  <br/>\n  «irregularities» obstruct free movement of electrons ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept electrons move less easily/less delocalized for M3.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.SL.TZ1.5",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the percentage of oxygen present in the double salt.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline why vitamins usually need to be obtained from food sources.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  «100 − (7.09 + 5.11 + 16.22 + 14.91) =» 56.67 «%» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  cannot be synthesized «by the human body» ✓\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.SL.TZ2.1",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   An unknown organic compound,\n   <strong>\n    X\n   </strong>\n   , comprising of only carbon, hydrogen and oxygen was found to contain 48.6 % of carbon and 43.2 % of oxygen.\n  </p>\n  <p>\n   Determine the empirical formula.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  «n(C) =» 4.05 «mol»\n  <br/>\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  <br/>\n  «n(O) =» 2.70 «mol» ✓\n  <br/>\n  «% H =» 8.2 %\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  «n(H) =» 8.12 «mol» ✓\n </p>\n <p>\n  «empirical formula =» C\n  <sub>\n   3\n  </sub>\n  H\n  <sub>\n   6\n  </sub>\n  O\n  <sub>\n   2\n  </sub>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for the simplest ratio ″1.5 C: 3 H: 1 O″.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.SL.TZ2.2",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Nitrogen (IV) oxide exists in equilibrium with dinitrogen tetroxide, N\n   <sub>\n    2\n   </sub>\n   O\n   <sub>\n    4\n   </sub>\n   (g), which is colourless.\n  </p>\n  <p style=\"text-align:center;\">\n   2NO\n   <sub>\n    2\n   </sub>\n   (g) ⇌ N\n   <sub>\n    2\n   </sub>\n   O\n   <sub>\n    4\n   </sub>\n   (g)\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   All species are almost colourless except for MnO\n   <sub>\n    4\n   </sub>\n   <sup>\n    −\n   </sup>\n   , which has an intense purple colour, though the kale extract is coloured by the chlorophyll present.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  reaction hardly proceeds\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  reverse reaction/formation of NO\n  <sub>\n   2\n  </sub>\n  is favoured\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  «concentration of» reactants greater than «concentration of» products «at equilibrium» ✓\n </p>\n <p>\n  <em>\n   Accept equilibrium lies to the left.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  green to purple\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  green to brown\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  green to purple-green ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept “colourless to purple”.\n   <br/>\n   Accept “green to grey/blueish”.\n   <br/>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “clear” for “colourless”.\n   <br/>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “purple to “brown”.\n   <br/>\n   Do\n   <strong>\n    not\n   </strong>\n   accept blue as final colour.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.SL.TZ2.3",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   An electrolytic cell was set up using inert electrodes and molten magnesium chloride, MgCl\n   <sub>\n    2\n   </sub>\n   (l).\n  </p>\n  <p style=\"text-align:center;\">\n   <img 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\"/>\n  </p>\n  <p>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  magnesium/Mg «metal» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do not accept magnesium ions/Mg\n   <sup>\n    2+\n   </sup>\n   .\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.SL.TZ2.4",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Bismuth has atomic number 83. Deduce\n   <strong>\n    two\n   </strong>\n   pieces of information about the electron configuration of bismuth from its position on the periodic table.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how a substance in the same phase as the reactants can reduce the activation energy and act as a catalyst.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Any two of the following:\n  </em>\n  <br/>\n  «group 15 so Bi has» 5 valence electrons ✓\n  <br/>\n  «period 6 so Bi has» 6 «occupied» electron shells/energy levels ✓\n  <br/>\n  «in p-block so» p orbitals are highest occupied ✓\n  <br/>\n  occupied d/f orbitals ✓\n  <br/>\n  has unpaired electrons ✓\n  <br/>\n  has incomplete shell(s)/subshell(s) ✓\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [1]\n   </strong>\n   for full or condensed electron configuration, [Xe] 4f\n   <sup>\n    14\n   </sup>\n   5d\n   <sup>\n    10\n   </sup>\n   6s\n   <sup>\n    2\n   </sup>\n   6p\n   <sup>\n    3\n   </sup>\n   .\n   <br/>\n  </em>\n </p>\n <p>\n  <em>\n   Accept other valid statements about the electron configuration.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  forms an intermediate/activated complex ✓\n  <br/>\n  «intermediate/activated complex» dissociates to form product «\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  catalyst» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept correct annotated energy profile for either mark.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "23M.2.SL.TZ2.6",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest an experimental method that could be used to determine the rate of reaction.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe the interactions between amino acids occurring at the primary, secondary and tertiary levels within a protein.\n  </p>\n  <table border=\"1\" cellpadding=\"5\" cellspacing=\"0\" style=\"height:146px;\" width=\"500\">\n   <tbody>\n    <tr>\n     <td style=\"text-align:center;width:150.898px;\">\n      <strong>\n       Structure Level\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:335.143px;\">\n      <strong>\n       Interactions between amino acids\n      </strong>\n     </td>\n    </tr>\n    <tr>\n     <td style=\"width:150.898px;\">\n      Primary\n     </td>\n     <td style=\"width:335.143px;text-align:center;\">\n      ...........................................................\n     </td>\n    </tr>\n    <tr>\n     <td style=\"width:150.898px;\">\n      Secondary\n     </td>\n     <td style=\"width:335.143px;text-align:center;\">\n      ...........................................................\n     </td>\n    </tr>\n    <tr>\n     <td style=\"width:150.898px;\">\n      Tertiary\n     </td>\n     <td style=\"width:335.143px;text-align:center;\">\n      ...........................................................\n     </td>\n    </tr>\n   </tbody>\n  </table>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  «measure change in»\n  <br/>\n  mass\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  pressure\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  volume of gas/CO\n  <sub>\n   2\n  </sub>\n  produced\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  «intensity of» colour\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  «electrical» conductivity\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  pH ✓\n </p>\n <p>\n  with time ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept any of the following for M1:\n   <br/>\n   perform experiment on balance\n   <br/>\n   <strong>\n    OR\n   </strong>\n   <br/>\n   use pressure probe\n   <br/>\n   <strong>\n    OR\n   </strong>\n   <br/>\n   collect gas/gas syringe\n   <br/>\n   <strong>\n    OR\n   </strong>\n   <br/>\n   use colorimeter\n   <br/>\n   <strong>\n    OR\n   </strong>\n   <br/>\n   use conductivity meter\n   <br/>\n   <strong>\n    OR\n   </strong>\n   <br/>\n   use pH meter\n  </em>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “measure rate of change” for M2.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <table border=\"1\" cellpadding=\"5\" cellspacing=\"0\" style=\"height:146px;width:530.866px;\">\n  <tbody>\n   <tr>\n    <td style=\"text-align:center;width:150px;\">\n     <strong>\n      Structure Level\n     </strong>\n    </td>\n    <td style=\"text-align:center;width:365.866px;\">\n     <strong>\n      Interactions between amino acids\n     </strong>\n    </td>\n   </tr>\n   <tr>\n    <td style=\"width:150px;\">\n     Primary\n    </td>\n    <td style=\"width:365.866px;text-align:left;\">\n     covalent bonding\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     peptide bond\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     amide bond ✓\n    </td>\n   </tr>\n   <tr>\n    <td style=\"width:150px;\">\n     Secondary\n    </td>\n    <td style=\"width:365.866px;text-align:left;\">\n     hydrogen bonding ✓\n    </td>\n   </tr>\n   <tr>\n    <td style=\"width:150px;\">\n     Tertiary\n    </td>\n    <td style=\"width:365.866px;text-align:left;\">\n     interactions between R groups/side chains\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     ionic/electrostatic «attraction»\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     hydrogen bonding\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     hydrophobic interactions\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     disulfide bridges\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     London/dispersion/van der Waals/«instantaneous» induced dipole-induced dipole ✓\n    </td>\n   </tr>\n  </tbody>\n </table>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “amino acid sequence” for M1.\n   <br/>\n  </em>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “alpha helix”\n   <strong>\n    OR\n   </strong>\n   “beta sheets” for M2.\n   <br/>\n  </em>\n </p>\n <p>\n  <em>\n   Accept “covalent bonding” for M3.\n  </em>\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "empty-topic"
    ],
    "subtopics": []
  },
  {
    "question_id": "EXM.1B.HL.TZ0.1",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The student reported the volumes of titrant used per trial for samples collected each day in the following table:\n  </p>\n  <p style=\"text-align:center;\">\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The candidate used a 25 cm\n   <sup>\n    3\n   </sup>\n   burette with an uncertainty of ±0.05 cm\n   <sup>\n    3\n   </sup>\n   . Comment on the uncertainty recorded for the titrant volumes.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the initial % content of Fe\n   <sup>\n    2+\n   </sup>\n   in the raw spinach, showing your working.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The results calculated for the subsequent days are shown.\n  </p>\n  <p>\n   <img height=\"166\" src=\"data:image/png;base64,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\" width=\"205\"/>\n  </p>\n  <p>\n   Comment on the significance of the difference in Fe\n   <sup>\n    2+\n   </sup>\n   content measured for day 4 and 5.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest\n   <strong>\n    two\n   </strong>\n   flaws in the design that could have contributed to the random error in the investigation.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The student did not standardise the KMnO\n   <sub>\n    4\n   </sub>\n   solution used for titration. Suggest what type of error this may have caused, giving your reasons.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The titration of Fe(II) with MnO\n   <sub>\n    4\n   </sub>\n   in acid medium is a redox reaction. State the oxidised and reduced species, including their change in oxidation states.\n  </p>\n  <p>\n   <br/>\n   Oxidised: ........................................................................................................................................\n  </p>\n  <p>\n   <br/>\n   Reduced: ........................................................................................................................................\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Spinach contains a large amount of antioxidant compounds, including ascorbic acid and oxalic acid. Predict how this will affect the accuracy of the results, mentioning the type and direction of the error.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Incorrect\n  <strong>\n   <em>\n    AND\n   </em>\n  </strong>\n  two readings, uncertainty is ±0.1 ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Incorrect\n  <strong>\n   <em>\n    AND\n   </em>\n  </strong>\n  two readings, uncertainty is ±0.1 ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  «mol» MnO\n  <sup>\n   4−\n  </sup>\n  «=0.00339 × 0.01» = 3.38 × 10\n  <sup>\n   −5\n  </sup>\n  «mol» ✓\n </p>\n <p>\n  «mol MnO\n  <sup>\n   4−\n  </sup>\n  : mol Fe\n  <sup>\n   +2\n  </sup>\n  = 1:5»\n </p>\n <p>\n  «mol» Fe\n  <sup>\n   2+\n  </sup>\n  = 1.95 × 10\n  <sup>\n   −4\n  </sup>\n  ✓\n </p>\n <p>\n  % Fe\n  <sup>\n   2+\n  </sup>\n  «= 1.95 × 10\n  <sup>\n   −4\n  </sup>\n  × 55.8 × 100/2.0»= 0.47«%» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Must show working for the marks.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  no difference\n  <strong>\n   <em>\n    AND\n   </em>\n  </strong>\n  uncertainty larger than difference ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept other explanations referred to overlapping.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  dilute the titrant to use larger volumes «of titrant» ✔\n </p>\n <p>\n  ensure spinach leaf fragments are the same size ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  systematic error\n  <strong>\n   <em>\n    AND\n   </em>\n  </strong>\n  all values «equally» inaccurate ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Oxidised: Fe\n  <sup>\n   +2\n  </sup>\n  → Fe\n  <sup>\n   +3\n  </sup>\n  ✔\n </p>\n <p>\n  Reduced:  Mn\n  <sup>\n   7+\n  </sup>\n  → Mn\n  <sup>\n   2+\n  </sup>\n  ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  systematic error\n  <strong>\n   <em>\n    AND\n   </em>\n  </strong>\n  lower accuracy ✔\n </p>\n <p>\n  overestimation of [Fe(II)] ✔\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "inquiry",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "tools"
    ],
    "subtopics": [
      "inquiry-3-concluding-and-evaluating",
      "reactivity-3-2-electron-transfer-reactions",
      "tool-3-mathematics"
    ]
  },
  {
    "question_id": "EXM.1B.HL.TZ0.2",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   A calibration curve with pure ascorbic acid and appropriate amounts of the reagent, R, was prepared by dilutions with water of an initial aqueous solution of\n   <strong>\n    100\n   </strong>\n   <strong>\n    μg/cm\n    <sup>\n     −3\n    </sup>\n   </strong>\n   ascorbic acid in water, AA (aq)\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the volumes of pure ascorbic acid solution required for each point of the calibration curve; point 4 of the curve is shown as an example.\n  </p>\n  <p style=\"text-align:center;\">\n   <img 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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The resulting calibration curve is shown:\n  </p>\n  <p style=\"text-align:center;\">\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n  <p>\n   Suggest a range of absorbance values for which this curve can be used to calculate ascorbic acid of broccoli accurately.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest what should be used as a blank for spectrophotometric reading.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iv)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Discuss why it is important to obtain a value of R\n   <sup>\n    2\n   </sup>\n   close to 1 for a calibration curve.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The sample stored at 5 °C showed an absorbance of 0.600. Determine the concentration of ascorbic acid in the sample solution by interpolation and using the line equation.\n  </p>\n  <p>\n   <br/>\n   interpolation in graph: ..........................................................................................................................\n  </p>\n  <p>\n   <br/>\n   using line equation: .............................................................................................................................\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest which of the two methods will provide a more accurate value.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest why water was chosen to extract ascorbic acid from the spinach leaves with reference to its structure.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Estimate the % change in ascorbic acid concentration when stored for 3 days storage at 5 °C and 20 °C.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Estimate how much ascorbic acid will remain after 6 days storage at 20 °C in the same experimental conditions, stating any assumption made for the calculation.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   1-\n  </em>\n  1.0 cm\n  <sup>\n   3\n  </sup>\n </p>\n <p>\n  <em>\n   2-\n  </em>\n  4.0 cm\n  <sup>\n   3\n  </sup>\n  <em>\n  </em>\n  ✔\n </p>\n <p>\n  <em>\n   3-\n  </em>\n  8.0 cm\n  <sup>\n   3\n  </sup>\n </p>\n <p>\n  <em>\n   5-\n  </em>\n  4.0 cm\n  <sup>\n   3\n  </sup>\n  <em>\n   <sup>\n   </sup>\n  </em>\n  ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award [1] for 2 correct answers\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   1-\n  </em>\n  1.0 cm\n  <sup>\n   3\n  </sup>\n </p>\n <p>\n  <em>\n   2-\n  </em>\n  4.0 cm\n  <sup>\n   3\n  </sup>\n  <em>\n  </em>\n  ✔\n </p>\n <p>\n  <em>\n   3-\n  </em>\n  8.0 cm\n  <sup>\n   3\n  </sup>\n </p>\n <p>\n  <em>\n   5-\n  </em>\n  4.0 cm\n  <sup>\n   3\n  </sup>\n  <em>\n   <sup>\n   </sup>\n  </em>\n  ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award [1] for 2 correct answers\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  0.050−1.000 ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  water\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  all samples dissolved «in water» ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iv)\n </div><div class=\"card-body\">\n <p>\n  ensures the line is best-fit ✔\n </p>\n <p>\n  line/equation of the line will be used for quantitation ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept any other explanations referring to accuracy.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Interpolation:\n  </em>\n  9.8 μg cm\n  <sup>\n   −3\n  </sup>\n  ✔\n </p>\n <p>\n  <em>\n   using equation:\n  </em>\n  0.600/0.06283 = 9.55 «μg cm\n  <sup>\n   −3\n  </sup>\n  »\n  <sup>\n  </sup>\n  ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  line equation\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  uses the values for 5 determinations ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  «ascorbic acid» has multiple −OH/hydroxyl groups ✔\n </p>\n <p>\n  can H-bond with water ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do not accept OH−/hydroxide for M1\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Δ % = «95.5 - 50.0/95.5 × 100»= 47.6 % ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept calculations using line equation\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  assumption: linear decrease ✔\n </p>\n <p>\n  rate «mg 100 g\n  <sup>\n   −1\n  </sup>\n  day\n  <sup>\n   −1\n  </sup>\n  =  95.5 − 50.0 / 3 » = 15 «mg 100 g\n  <sup>\n   −1\n  </sup>\n  day\n  <sup>\n   −1\n  </sup>\n  » ✔\n </p>\n <p>\n  «95.5 − 15 × 6 = 5.5 «mg 100 g\n  <sup>\n   −1\n  </sup>\n  day\n  <sup>\n   −1\n  </sup>\n  » ✔\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "inquiry",
      "structure-2-models-of-bonding-and-structure",
      "tools"
    ],
    "subtopics": [
      "inquiry-1-exploring-and-designing",
      "inquiry-2-collecting-and-processing-data",
      "structure-2-2-the-covalent-model",
      "tool-1-experimental-techniques",
      "tool-3-mathematics"
    ]
  },
  {
    "question_id": "EXM.1B.SL.TZ0.1",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The student reported the volumes of titrant used per trial for samples collected each day in the following table:\n  </p>\n  <p style=\"text-align:center;\">\n   <img 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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The candidate used a 25 cm\n   <sup>\n    3\n   </sup>\n   burette with an uncertainty of ±0.05 cm\n   <sup>\n    3\n   </sup>\n   . Comment on the uncertainty recorded for the titrant volumes.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the initial % content of Fe\n   <sup>\n    2+\n   </sup>\n   in the raw spinach, showing your working.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The results calculated for the subsequent days are shown.\n  </p>\n  <p>\n   <img height=\"166\" src=\"data:image/png;base64,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\" width=\"205\"/>\n  </p>\n  <p>\n   Comment on the significance of the difference in Fe\n   <sup>\n    2+\n   </sup>\n   content measured for day 4 and 5.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest\n   <strong>\n    two\n   </strong>\n   flaws in the design that could have contributed to the random error in the investigation.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The student did not standardise the KMnO\n   <sub>\n    4\n   </sub>\n   solution used for titration. Suggest what type of error this may have caused, giving your reasons.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The titration of Fe(II) with MnO\n   <sub>\n    4\n   </sub>\n   in acid medium is a redox reaction. State the oxidised and reduced species, including their change in oxidation states.\n  </p>\n  <p>\n   <br/>\n   Oxidised: ........................................................................................................................................\n  </p>\n  <p>\n   <br/>\n   Reduced: ........................................................................................................................................\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Spinach contains a large amount of antioxidant compounds, including ascorbic acid and oxalic acid. Predict how this will affect the accuracy of the results, mentioning the type and direction of the error.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Incorrect\n  <strong>\n   <em>\n    AND\n   </em>\n  </strong>\n  two readings, uncertainty is ±0.1 ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Incorrect\n  <strong>\n   <em>\n    AND\n   </em>\n  </strong>\n  two readings, uncertainty is ±0.1 ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  «mol» MnO\n  <sup>\n   4−\n  </sup>\n  «=0.00339 × 0.01» = 3.38 × 10\n  <sup>\n   −5\n  </sup>\n  «mol» ✓\n </p>\n <p>\n  «mol MnO\n  <sup>\n   4−\n  </sup>\n  : mol Fe\n  <sup>\n   +2\n  </sup>\n  = 1:5»\n </p>\n <p>\n  «mol» Fe\n  <sup>\n   2+\n  </sup>\n  = 1.95 × 10\n  <sup>\n   −4\n  </sup>\n  ✓\n </p>\n <p>\n  % Fe\n  <sup>\n   2+\n  </sup>\n  «= 1.95 × 10\n  <sup>\n   −4\n  </sup>\n  × 55.8 × 100/2.0»= 0.47«%» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Must show working for the marks.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  no difference\n  <strong>\n   <em>\n    AND\n   </em>\n  </strong>\n  uncertainty larger than difference ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept other explanations referred to overlapping.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  dilute the titrant to use larger volumes «of titrant» ✔\n </p>\n <p>\n  ensure spinach leaf fragments are the same size ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  systematic error\n  <strong>\n   <em>\n    AND\n   </em>\n  </strong>\n  all values «equally» inaccurate ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Oxidised: Fe\n  <sup>\n   +2\n  </sup>\n  → Fe\n  <sup>\n   +3\n  </sup>\n  ✔\n </p>\n <p>\n  Reduced:  Mn\n  <sup>\n   7+\n  </sup>\n  → Mn\n  <sup>\n   2+\n  </sup>\n  ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  systematic error\n  <strong>\n   <em>\n    AND\n   </em>\n  </strong>\n  lower accuracy ✔\n </p>\n <p>\n  overestimation of [Fe(II)] ✔\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "inquiry",
      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
      "tools"
    ],
    "subtopics": [
      "inquiry-3-concluding-and-evaluating",
      "reactivity-3-2-electron-transfer-reactions",
      "tool-3-mathematics"
    ]
  },
  {
    "question_id": "EXM.1B.SL.TZ0.2",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   A calibration curve with pure ascorbic acid and appropriate amounts of the reagent, R, was prepared by dilutions with water of an initial aqueous solution of\n   <strong>\n    100\n   </strong>\n   <strong>\n    μg/cm\n    <sup>\n     −3\n    </sup>\n   </strong>\n   ascorbic acid in water, AA (aq)\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the volumes of pure ascorbic acid solution required for each point of the calibration curve; point 4 of the curve is shown as an example.\n  </p>\n  <p style=\"text-align:center;\">\n   <img 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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The resulting calibration curve is shown:\n  </p>\n  <p style=\"text-align:center;\">\n   <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAmkAAAFkCAYAAAB7B6yRAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAACDaVRYdFNuaXBNZXRhZGF0YQAAAAAAeyJjbGlwUG9pbnRzIjpbeyJ4IjotNjUyLCJ5IjotMzA1LjAwOTQzfSx7IngiOi0zNSwieSI6LTMwNS4wMDk0M30seyJ4IjotMzUsInkiOjU3Ljk5MDU3fSx7IngiOi02NTIsInkiOjU3Ljk5MDU3fV196L4tSQAAWRRJREFUeF7t3Qd8FGX6B/AnoQUIhIQSitQklBA6RAUs5/kPNuTAQhERlDspKkhRERAioKiAWAArAiJFPU9EPcF2KpESivSSBBCkBEhC74R/fu/Om0w2u9kkJFsmvy+fYXbedzK7s7Pl2bf6Xc0gRERERORV/I01EREREXkRBmlEREREXohBGhEREZEXYpBGRERE5IUYpBERERF5IQZpRERERF6IQRoRERGRF7LEOGlz5syR5cuXy6BBg6Rjx45Gak4JCQkybtw4Y0skODhYZsyYYWzZTJs2TdauXWtsSY5jusonIiIiKgw+X5I2duxYFaDlxbx581RQtWDBArWkpaWpoEvD7aSkpMz8mJgYmTlzpgru8pJPREREVFh8OkhDCRqCptjYWCMldxMmTMhW6oUgC3+voYQMaVrfvn3VOi4uTq1d5RMREREVFp8O0hAkoUSroFJTUyUkJETdXrFihVpHRkaqtRYWFqb2c5VPREREVJiKdccBlIwhyCIiIiLyNpboOKA7BOSnEb9uX6Y7DqCkDO3LUHUaERGh0gBt3tDBIDo6Otf8YcOGGSn5s3//fjl37pyxRURE+Fry8/MztqzFqudm5WtWtmxZqV27trHlXsUySNO9Qc1VpZ4K0nbt2iUNGzY0tqzDqueFtwteb1Y7N56X77HyNUtMTMz2OWsVVj03K18z8OT3WbGr7tQBmn1ng9DQULXetm2bWmsobUOVqKt8IiIiosJk6SANVZq9evUytrIHaPYRP7YRbJmH88D+0KVLF5f5RERERIXJp6s7ddBlr3v37ipwQpCGzgG6WtMcsJnp/WHw4MFq/DTNvveoq/z8YnWnb8HbhdWCvsOq5wVWvmas7vQtVr5m4MnvM0u0SfNlDNJ8C94uDGZ8h1XPC6x8zRik+RYrXzPw5PdZsR6Cg4iIiMhbMUgjIiIi8kIM0oiIiIi8EIM0IiIiIi/EII2IiIjICzFIIyIiIvJCDNKIiIiIvBCDNCIiIiIvxCCNiIiIyAsxSCMiIiLyQgzSiIiIiLwQgzQiIiIiL8QgjYiIiMgLMUgjIiIi8kIM0oiIiIi8EIM0IiIiIi/EII2IiIjICzFIIyIiIvJCDNKIiIiIvBCDNCIiIiIvxCCNiIiIyAsxSCMiIiLyQgzSiIiIiLwQgzQiIiIiL8QgjYiIiMgLMUgjIiIi8kIM0oiIiIi8EIM0IiIL6NWrV+YyePBgI9WxhISEbPuPHTvWyMkyZ86cbPtgW8P+5rwVK1YYOTa5/S0R5R2DNCIiH4dAKCYmRhYsWKAWcBR4AQK0cePGSffu3TP3T0pKkmnTphl7iLodHx+fmY+lb9++Km/JkiUSHBycmd62bVuZOXOmygMEZMuXL8/Mj42NVdv4OyLKHwZpREQ+TAc/OogCBGwIvBCQ2YuLi1NBVpcuXYwU2/5r165Vt/E3uD106FC1bQ9/N2zYMGNLpHPnzmqtS9NSU1MlLCxM3YaIiAh1f0SUfwzSiIjcACVb5tIqwLajEi/76kS9ONoXwZg5KILIyEi1Tk5OVmszR/uHh4erNQI0HcQhuMoLfR+hoaFqjWPjPnTQhiAyLS1NBXe6mtVcquboeSEiGwZpRERugGpBXVqlYRvp9iZMmJBZXWhekF7UUBIWEhKSI0B0Zs2aNdmCOgRjqEpFFSj+bvHixeqxA/ZBqR3SAFWjuD9zyRwRZWGQRkTkBrp6UZci6ZImc7Wjt0BJmDk4ROmYo1I8nAMCzZ49exopNjoY1QGo+W9RLYvjoXMD2qrZ/y0RZWGQRkTkJubSNJRAOSpFg/xUdxYF++pQPE4EbmaoukRpGUrNOnbsaKRmBWQI7lBChjX+1lyl2adPH1UFivsx/y0RZccgjYjITdDIHgGLbpwfHR1t5GSXn+pOVE3aB1Dbtm1Ta0cBEKom7fdPTEzMrLJE4IQqSDMEVObG/3j86CGKqkv7kkAc2z74xDaOoU2fPj0z8GOvTyLnLBGk6TF57MfqcQS/5sy/TO3/5lrziYic0UEQghQEPYVRitShQwe1No9FhmpEHSjpxvo6H4EhAiZzcIT927Vrp26j00Fu+eYAzdyjVMN56dJCDds6yNOPA6Vs5vZp5NuOnUw3blFh8vkgDUXr+ADJCwRY+OWmf5XiAwLF9fjQKYx8IiJXdKmSDnquFQK/QYMGqc9B/eMRgaCzxvgIDFFFieBI728OuPTxzPl4zDp/6dKlam2+Pyy6mnPGjBmqJM6ch7/H48GPWvydboeGYyJ4c1c1LhWuE6cvyeQFu+TeUavkhQXHpPNzK+XljO0TZy4be9C18ruawbjtc/CLDG94DJaIX3b4YMntlyk+LPDhZC6eR5r+gLrW/ILYtWuXNGzY0NiyDqueF94uCMqtdm48L/dBoIIfd/jcQkBUUFa+Zqh+vZbnxltZ6dwQoD326no5e+GKXFIxGUIJPylVUqRsaX+Z/WwbCQoshQyf58nvM58uSUNghBKtvNDVknr8IE23v7jWfCKivECHAXxuWDEIoeJj5ld7jAANwZku67mqts9euCozv9xtpNG1YMcBL4BfV1ZbrHpeWKx6bjwv9yxon9WmTRuHefldvO3cCmux6nlhscq5/fLHMbl0SZ1ODpevpEvcllSHf+eLiyf5dHWnhiJ/V9WdzqoY0BYCbSLQmPZa8gs6GCOKUcl34O3i5+dnbFkHz4uIXEk9lS6/7zgnK3dekONnrhipzk3qXVkqlbdGWZCnqjsZpHlBkGa1NiXANmm+hefle6x8zdgmzbus3p4my9Yky2+bUowUV/ykTCk/+Xryjca2b2ObNDfQ88rp8YM09NZE+5BrzSciIrKK46cvyeKf/pJHX1kvoz/Y6jBAc1bCE1DaX1o3qmRs0bWwdJCmxzQD/HJBMGUerkOP14PemteaT0RE5Ov+SDwhryxIkAfGrZEPvvlT9h85J34Z/zIZkVnpkv5SpqRICX+EETrfT0qW8Fc9PIc/aL2SUE+wxBAc9vQwGQjS0EjX3AMU88WZR7627x16rfn5xepO32LlKiael+eh+QRK58HV0D5Wvmas7nSv5LTz8uO6Y/LT+qPyZ/JZlXY1458Ozsy3G9QsL/fcWF06RVeTc+evyNtf7paVW1LlwqV0KVPKX9pHhcigfzSQShYZfgM8+X1miTZpvoxBmm+x8hcjz8t7YLR/DCab249AK18zBmnu8cvGYxnB2VFZuTX3YaTQ+SamXVWJaVtNmocFGalZcF6r1u+SG9s0MlKshUFaMcYgzbfg7cJgxnd423mZS8o0+85IoDs6FUaQpo+l6dH/ndE1EJp9hyz7c9CPH48FHbgcMd+nboKi2Z8jzotBWtFJ+Ou0Csx+XH9UtTvLDaoy+99dRzpFh0qFciWN1JysfM3Ak99nHCeNiMiNELAgMMGCKk0ENghwzJYtW6byrpUO0BBo4f4QUCEA0+1p7ZmbiGBB0xH8vX58CNAweLf94wd8Qet0veD+AL3jAX+vHwsWtPNFGhWtM+evyJK4QzLkzU0y6PWN8u9fD+YaoDWrX1Ga1qsgc59vJfffWivXAI2KFoM0IiIP0W3OzL3GEShBQaeaM9OzG+iSMARSCBLj4+PVtj0EaAjMNLTtxRBDcXFxKlBDCZqedxP0YzRPxm6Gv8Pf6/ufMGFCtlI5PDbO2FJ01u48Lq8sTJBuY1bL21/slm1/njJyHHu4Ux35z8TrZdoTzWT6k80lNDjAyCFPYZBGROQlUMKFQAjBjCMIlFBdiOWhhx6S8ePHZ247CpRwLARCZtg2d35yJSQkJNdACkGYs+OhY1duJYLIL6yJ5skGvTHnLtsnj7y8Tka9t1V+WHtE0q+aWjVl3ERHAKhYrqQ0b1BRMN5zzSoB0iemtgSWZamZN2GQRkTkIbrUTA/jg6AFAY8OvFBdaWauUvzkk09UkKa3C2MoIARw9j3mdYCG+0ZAhqpYM2cBmrMhivS5YXHVg5XyBj0r/7s6WUbO2qLGNZu/fL8cPHbeyDVBbJYRkKGnZqPagfLvCdfL1MHNZPmUDjJ3VBvbPuRVGKQREbkRqhR1kIIABwGWpgMuvTibQaWooATPHCRiQUmaNnToUFU6Z863L6nTUKXqqBTNfH44FoY1ooJZn3BcpixOlK5jVsu0TxPVGGfO1K5aVu67taaxJVIlqLRxi7wZgzQiIjfSHQfQqB5BirNG/I7kt7qzIMxBFBbQgZqjzgEoaUMJmxkeC4K9Dh06GCmO9enTR+1nX2JIzv119JzMW7ZP+k1eL8++s1VN13TpcrqRmx2GzsDoZhjbbPZzrWXAvfVlTO9GMjBjPb5fE9tO5NUYpBEReQACHpQ0ORqQ25n8VnciuEIgaOaonZozurNAeHi4kZIdgisEWZGRkUaKDUoLEYzi8dK1u3T5qiyLPyLPvrtVBWcfL9+vgjVnWoQFydMPhEupkn6qhnNv8hlbRoZbWlWRbrdklaiRd2OQRkTkIbo9Vn5K0/IDgRKCLF1ShaBLB1CAEi+UwjkrycLwGtjXUbUrjoXhORBomoMxHAv3qYfdMMN9mS1dujRb70/KbkPCcZm6OEG6jlklUxYlyPpdx42cnKoGl5bQ4DLSKiJIpgyKkrtuCJXH7qwrpUv7q0FoyTcxSCMi8iAEQc6GxLhWKF1DEIVgCgESgi49bZ4j6Migq0+x4G/NA99iTDOdp49l3/AfHQtQUuco8MLxzMdHMDdjxgwjlwAN/tHw/9HJ6+WZd7bKd2uOqI4Bjvj7+8ntbarJpP6R0rBWoCSnXcgI7E7IF78cVPkoMfvm5Rs5j6YP44wDHsYZB3wL3i4oQbDaufG8fI+Vr1lxm3Hg8pWrat7MnzYck3U7XQ+P0qxBRWnbOFgirisn7RrZ2gsiMJv11R7VDm1A53purdK08jUDzjhARERUzKA3Jnpl/mP0KnltUUKuAVpoSBnpdXtteX9ES5k2uJl8teKQPP/edhn/0XaVj6Bs2uAoGf1QQ7Y5sxAGaURERG5y9OQVmf/9fnns1Q1qXDOMb+asOhM9M//euqqqzpw/uq30u7OO1KtRXpLTzkvKyYtqn42JJ9UamjUIUh0DyDoYpBERERWxnzccldEfbJdxC1Jk7nf7ZF/yWSMnJ1RnDrk/TE3R9NxDDaVsGX81g4AuNcN0TR2iQqRyxdLycExtlUbWxCCNiIioCOxLPicffLNXusfGy0vzd0n8DufVmdUqlZEet10n741opaoz77mxupQ3pmjCgLXoUBC3JVWVogHGOVs0rh2rNi2OQRoREVEh+nnDMTVv5mOvrpfFPx2QVKNq0pHbWleVif0j5ZOxbeWxu+tK/RrlVCC2eXfW7AHNwyqqNYbToOKFV5yIiOga/Xn4rLz/9V55cPwaeWn+Tlm70/mYZk3rV5AnuzVQ1ZmjHmoo1zfJmrEBwdnDk9bLsBlb5MNv96o0DKExf0wbmf1MK1XVScUHgzQiIqIC+nH9UTUTQP/XNsinPx+QtFOXjJzsygeUkK431ZTn7guW6U80l3s71JBAozrTHoa0gO1/nlZrQHDGAK34YZBGRESUD2hr9u5Xe+T+cWtk8ie7cp0JoEV4kIzoHiH/mXiDDOxST+pULWXk2KC0rOvo1TL10wS1jR6a6BQQXitQRvZwPB0XFR8M0oiIiPIgfsdxGT9nh2pr9vkvB+XEacelZigh63ZzTZk1rIVMGRglnaKriR/G03Dgi98Oyenzl2XZmqNGiq1TAP6WJWfEII2IiMgJ1Dx+/fthGfT6Rnn+/a0StznFyMmpZUSQjOyBUrPrZWCX+qo0zN66xAvZOgU0qVNBrcNqlldrIjMGaURERHYOpZyXD7/5U+57YbW88e8kSfgrq32YWVD5UnL/LTXlneEt5bUBURLTzvlk5qjS/PCHE6pTwC8bjqk0lLShUwBKzojsMUgjIiIyYKomjGnW56V1suinv+TU2ctGTnbooflMzwj5/MVoefze+nkqCasUmNUeLfFQ9k4BRI4wSCMiomJvefwRGfLmJjVVE2YHcObvbarK1EFRqofm/7V1XmoGIzKOdfeolZlDaTx2Vz1pUa+M3HF9NXWbyBUGaUREVCyhlGzesn3SIzZeTXC+7c9TRk52QeVLSs/br5OPR7eR53o1lOZhQUaOcxiQdmPiCbl4MV2+jks2UkUevyNIjXtGlBcM0oiIqFjB5OQYeLbHi/Hy8fL9mZOV22tYO1CGPhAmn8VeL4/eWVeqhzivlkRQhjZnulMAqjDRccDPz086tghRaUT5xSCNiIiKBXQGmPnlHlVyhoFnL15KN3Kyu6l5ZXn5X5EyY2gLufuG6k6HzzB7bVGifLf6iOoUoOfXRGeA5VPas+SMCoxBGhERWRoGn33j8yTVGeA/vx00UrMrV6aE6qU5+9nW8sIjjaVto6ypmvLizLkrao2SsyNpF9RtomvFII2IiCwp8cAZeW1hghp89uuVh43U7KoElZZ/3lNPPo219dKsXa2skeMcSspQGtfpmTj54hdb0IdSM3QIGP1QQzVrAFFhYJBGRESWsm3vKTWMxsBpf8jytUeM1OxqVg6QwV0byMIX2smDf6slZUrl/etwx97Tqh1b+hWR79dl9QRFteYtraoYW0TXjkEaERFZAsY4G//RDhny1ianw2jUq15Onn4gXOY+30b+0bGGkZo7dAYY/9H2zAFoEYjVrBIgpUv7S4+MAI+oqDBIIyIin7b9z1PywuztaoyzuC2Op22KuC5Qnu3VUN4f2UruuiHUSM2bFz7ckXHcVJn0yS4jRWTuqDbyzcs3suSMihSDNCIi8kmHUi7I1MWJ8tSbm2Tl1lQjNbum9SvK2D6NZebTLeT2NlWN1PwpU9r2VVmqVB66eRIVIgZpRETkU85euCIffvun9HlprXy3JmugWLOW4UHy4qNNZPoTzeTmFpWNVNdQpRkz4ne16DHPFo1rJwPvrS+T/xmptonchUEaERH5jM9/OSi9J66VRT/+ZaRkF90kWCb/q6m8NjBKbmya/0Fk1yakydWrV9Vi7nTQ7Zaa7LVJbufzQdq0adOkV69emcuKFSuMHMfGjh2b6/6ujpff+yMiovw5djLnILM/rjsqj76yXt79ao/DSc8b16kgsf0ay6T+kdKmUSUj1TUMoTFw2sbMUrPe/1dbdQqoXLG0uk3kSSXGZzBu+xwETElJSTJ79my577775NSpU7Jo0SJp3ry5VK6cs3gbARrMmDFD7V+yZEmZM2dO5v6ujpff+8uLlJSUAv+tN7PqeUFqaqolz43n5XusdG4nTl+S6Z8nyasLEuT7jWfks58PyJ9Hzkl6Rrz25r+T5ItfD8rJMzmDs9CQMvJ45/ry1H1hUrtaOSM174a8vVlST16UuM2p0uPv10lg2ZLS9aaacv+ttdTtwsb3me/x5PeZT5ekrV27VmJiYowtkb59+6p1XFycWtvDiygsLMzYEomMzN6+wNXx8nt/RETkGgI0DDj768Zjcv7SVZWG9f/WH5WJc7fL5t0nVZpZQOkS0u/OOjJ/dFu58/q899bUJWaa7gxQvbLzeTmJPMVngzRdzWgfaCEIQzDmCPKWL19ubIksXbpUpUVERLg8XkHuj4iIXJv51R7VGeDSZQRotiAN63Tc9PMXv8w0m24315T5Y9pKr9vzVx2Jsc4wtyZmCtDza2IYjTG9G8n4fo3UNpE3KVYdB4YNGyZt22a8sY32ZGlpaTJhwgQj13N0I1UrLVY9LyxWPTeel+8tVjm3uE0pGQGaOh0HMvbJCNPgttZV5f2RLWXAvfWkYrkSDo+V25KcdlEdBzMFbN9zKjP95paVpVqlMtn2LaoFHKX7+mLV88LiSX4ZD8Czj6CAULI1c+ZMiY2NVSVhGtqdBQcHq4DMEQRnyA8JCVHty1B9iWpLV8eLjo4u0P25smtX1uCI5P3wdsEEylbD8yJPQSeBcQsdD0Br1v//gqRVg9LGVt68t+yk7D1yWR69PVDCa5SWlFNX5K1vTkjN4JLyr04Vjb2IXGvYsKFxy72KVZCGAE0HZaCP0b17d9Uo0FNBmqcuflGy6nnh7ZKQkGC5c+N5+R4rnNuFi1dk9n/3qU4BGV9HGYujryM/KVPKT76efKOxnTcY72zi/J3qdnitQDUBuqfhmiUmJmb7DrECq56X5snvM5+t7gwNtTUU3bZtm1prKB1DOzF7uk1Zhw4d1Bo6duyoAixUe7o6Xn7vj4iInPt+7RHpN3mDEaDhiz7nsBsQUNpfWudhSA20MdNza0LjeoHiX8J2O/y6/Pf6JPIGPhukIWJHcGTuCIDhNKBLly5qrcc0Ax1kmXtiInBDgIZAzdXx8nJ/RESUu6PHL8iEeTvl1YUJcvTEBZWG8jNbpTT+19XTflKyhL+UKiky/EHXJTTjP9qpSs7uHrVSbYcGB8iyVzvI/DFt8vT3RN7IZ6s7tcGDB6tAS1uwYIFxyxakYdgMnYaqgXHjxqnbGqo6zUFWbscDV/n5xepO32KFKiZHeF6+xxfP7b+rk+Ud9OQ8f8VIyVK7alkJqlBSEvafkQuX0qVMKX9pHxUig/7RQCoFljL2cq7r6NVy+vxl1Qbx49GtVZDmbXDNWN3pezz5febzQZqvY5DmW3zxizEveF6+x5fO7UjaBXl36V41DpojvWNqyyOd6qjbOK9V63fJjW2cD4mBqs0hb25Wt994qpkKyDD+2dxl+6V9ZIiawskb4dwYpPkeT36feay6c8mSJaqka+HChWr76NGjsmHDBnWbiIis4dtVydL/1Q0OA7TWDSvJeyNaZQZoWpWKuX81zf9+v6ScvKiWWV/uUWmYV3PKwCivDdCICsIjQdqsWbNUkHbgwIFsDfE/+OCDzAb+RETkuzDVUuycHfL6Z4ly7mLO6s0B99aXVx5vKvVruG7Uj1KyD7/da2yJxLStpjoFoGrzby2rGqlE1uP2IA3F8/Hx8fLkk09K165djVSRqlWrquEx1qxZY6QQEZEvitucoiYtX5Gxtte2UbC8P7KV3JePEq/n3t8mi348II+8vE5to9QMnQKWT2kvt7SqotKIrMjtQVpycrLUqlVLWrVqZaRkwVhl5kb5RETkWz74+k8ZP2eHpJ6yje6vodRrQJf68vK/IqVe9fwNiXHJmM/z5Gmn0xIQWZLbg7Ty5cs7nesSDQ8DAjjJLRGRr9l76IwMm7FZFv/8l5GSpV1jlJ61lPtudl16hrHOhnxwVHrExhspIqMfaigdokLkxccaGylExYPbgzSUoGFKpkmTJsn+/fvl7Nmzqh0a2qlhDLJ27doZexIRkS/A0BoDX98om3efNFKyPHJHHXnpn5FSNzRvpWeL/3dQTbSOTgF6cFpUaY7v10RVcxIVJx7pOPDUU0/J+fPnZenSpXLo0CE13RLaqaFNGhYiIvJ+l69clWmfJqoFt81qVgmQyY83ld7/V9tIceyLXw7K+I+2G1si3W+tKf4Z30yBASXVrAFExZlHx0nDsBs7d9rmVsMUTcURx0nzLXi7cDwx32HV8wJPn9umpBPy5r+T5M/kc0ZKlr+3qSpP3Rcm5coY8zI5gV6bw2duVefSItw2hAZuW3XMLauem5WvGRS7cdIQnKGKEz06EZxhwRhpHH6DiMj7Lf7pr4zgaovDAO3JjODsuV4NXQZoUC24jPqCJyLHPBKkTZ48OcdQG4GBgTJ79mwGakREXgpjn43/aId88M2fRkqWxnUqyMynW8i97asbKTmhWjNmxO+ZnQIwU8CY3o1k4L31ZWSPcJVGRFncHqShxAzt0B5++GEjxQbFpOg08MsvvxgpRETkLeI2p8qAaX9I3JacY591vamGvDWkuURcl3sbso2JJ1XJGToFaOgUgFkCvHGuTSJPc3uQdubMGeOWY+hQQERE3uODr/fK+DnbJe3UJSPFJrBsSRn9cCM1CbojKDkzdwp4OKa2lC7tr9qfEZFrbg/S0P4MY6F9/PHHqm2ahmpO9PAMCwszUoiIyJOOn74kYz7YJot/PmCkZIluEizvDG8pt7Z0POI/pnGK25KqFh2oocTsm5dvVB0EiMg1j7RJ69Gjh2zZskWGDBkivXr1UguG4QgODpa7777b2IuIiDzlj8QT8sQbG2X19pyzwGDss0n9IyU0uIyRYpOcllUTEl4jq+qzOcc3IyoQjwRpGAvtlVdeke7du2eOjda3b1+ZOnWq6vFJRESes2TFIRk5a4skp14wUmxqVA6QVwZEORz7DJ0Bek9cl1lqhrZm0wZHqY4BKEEjovzzSJAGCMa6dOmigjMsHMSWiMjz3vg8Sd7+z25jK8sNkcHy5lPNpXWE41KxVKO92srtWdP+YYYAToBOVHAeC9IA7dDsF/T+JCIi9zp47LwMn7FFvl552EjJ0v22WjLhsUipFFhKbaNac8SsLWrRut9WUypXLC0P3lrLSCGia+WRIG3JkiWZ7dDsly+++MLYi4iI3OH3Lany5JubZNPuE0aKTQl/P3m2Z4T0v7uekWLz2qJE2Zh4Qi16fs3H7qoni8a1U2siKhxuD9IwjcnixYuladOmMmjQoBxLnz59jD2JiKioLfzxLxn30XY5eSb78BoNapZXY5/d3raaKjnTwRg0qWvrFODn58f5NYmKkNuDtOTkZLUePXp05pRQ5sWqc38REXmTS5fTZfInu2T2tzlnD7itdVV5e0gLNTgtArQ+L6+TifN3qmE1AKVl88e0kY9Ht+YgtERFyO1BWqNGjdQ4aWh/RkRE7pd44Iw8+cYm+XF91liVWr8768qohxpKqZJ+RopI+hXb+teNWbMNIDhjgEZUtNwepOlenQsXLpTly5fn6DiA6lAiIioaP647mhGgbZSkg9lnf6lQrqTE9msitSoHSNfRqzOH0kAg1iEqRMJrBcqrA5qqNCJyD7cHaQjE0CYtLS1N5syZk6PjwLx584w9iYioMKFqc/KCXXL5ylUjxaZZg4qqerN9RjA2/fMkOX3+spopQBufEbzNGtaCJWdEbuaR6k5HHQb00q1bN2NPIiIqDBcvpcvEeTtVJwF7bSIqSZf2NaRmFVsA1iK8oloHBpRUayLyHL+rGYzb5AG7du2Shg0bGlvWYdXzwtsFVfJWOzeel+/J67ntPXxWXl2YIAl/nTZSstwUVVlWbE1Vx+rx91peMXwGHktiYqIlO5FZ9dysfM3Ak99nbi9JM7Nvj4aFbdKIiAoHqiyHvLUpR4BWJai0vDYgSmqFBqgvWMBk6kTkXTwSpKEtmrPBbNkmjYjo2n32vwOq8f/Z80bXTINfxqd+0/oVpGVEkCo5Q6eAO66v5nA+TiLyLLcHaUePHlW9OjG5eufOnaVGjRqqLRrm7wwODmabNCKia4T5N99bahvTzMzPT+Rqushvm7OG0kCngOEPRrBTAJEXcnuQtnPnTgkLC1PDcNSuXVvKlSunBrHFBOtYfv75Z2NPIiLKj6PHL8jIWY7n3+x/d11pHhakZgloUJ2zBBD5ArcHaeXLl5ezZ89m3k5NzermXbZsWTU0BxER5Q/m0Rz69mb5I2MNVzP+aX3vqC3db7tOpgyMkuVT2qvhNIjI+7k9SGvVqpWcP39edRLAbZg0aZJqp7Zs2TKpWbOmSiMiorz57+pkGTFrixxJu2CkiPhl/FPrjNV1Vcqp20TkW9wepEHPnj0lJcXWJqJ///5y8OBB1U4NVZ/333+/SiciItc++OZPmfZporGVwShAu7lFFfm/tlVlQOf6ckurKrZEIvIpHCfNwzhOmm/B24XjifkOq54XnLtwRV54f4P8sSer9Ezrcdt18tjddY0t34JrxnHSfIuVrxkUy3HS0MsTVZ56Dk+Oj0ZElDfxO9Kk54vxDgO0dk0q+WyARkTZeSRIW7JkiTz77LNqXLSlS5eq9mjjxo2TadOmGXsQEZEjv21Kkec/2CZn7MY/Cw0uI1MHRclL/TkJOpFVuD1IQwkaJljHMBwjR46UBQsWyBtvvKHGTFu7dq0K2IiIKKfFPx2QF+fuEFPHTaVVRJBMf7KZGmKDiKzD7UEaxkmDf/3rX5m9O6tWrao6E9x0002SlJSk0vIKpW+YvUAvqEJ1ZfDgwdn+xlzV6up4Bbk/IqKC2rz7hHR6Jk5ihsfJB19nH6AWw2zcfWN1eXVAlFQJKmOkEpFVuD1ICw0NVevjx4+rtb2AgLyPeo2ACUEdSuOwYDBcVKHm1r4NgVW7du0y/waLbuzo6ngFuT8iomvx8x/HJP2KUXhmG1UjU7cbAmXo/WHGFhFZjduDNAREKDH79NNPjRSbDRs2SHx8vNx1111GimuoHkWgpGFqKYiLi1Nre6hKRTWr3s+eq+Pl9/6IiPLrlw3HZOC0jWq9IeG4rNqac4DvcgElZFzfRnJ7C45/RmRlRR6kIfgyVw9i+e2332Tr1q3Z0l577TW1/6pVq9TaFV3NGBkZqdYagjDzLAZmCAKR74ir4xXk/oiI8uulhTsl8cBpmbRgpzzzzlY11ZNZxHWB8saTzaVDVGUjhYisqsiDtMDAQFX6lJfl5ptvLtIZBzDlFKorzcEhqjA9DWPMWG2x6nlhseq58bw8sxxOPZdtu1ypkrbHnK5W2dzSsoq8/kSU1A0tq/YF899aZbHqeWGx6rlZ9byweJLPDmaLki20B4uNjc02gN7YsWMlODhYhg0bZqRkQVDWtm3bzDy0JcPQH927d5fKlSvnerzo6Oh8319eYJA88h14u2CCaqvheXnGkjWn5fs/zqnbQzsHSe0qpWTuzydl456LKs2sU+tycm+78sYWEbmTpwazdXuQhiE43nvvPXnwwQezBTv5VdAgDQFZly5djJS8B2FFGaRZcTR0zjjgW3henoH5NjExOjxwSy1ZuytN9hw6q7bNRvSIkE7tqhlbNla+ZpxxwLdY+ZpBsZpxAENwoD3atV5M3Ut027Ztaq2hOtNZuzOko8rTDO3JQkJCXB6vIPdHRGQ29dME6REbr4bVgJE9wiW8VqDUq15Olvx+KEeAFhpSRqYOjsoRoBFR8eD2IK1Ro0ZSo0aNax60FkEegiNMKaXpY+qSMj2mmWa/P2Y+QNDWoUMHl8fLy/0RETmTnHZevlt9RFJOXpRJH9uaOYQGB8gtLSvL3sNn5eKl7I3QWkdUUh0EmjfgALVExZXbqztRPP/DDz+oHp4I1sqVy96FHIGQsyEyHMHAtObSMYxfpiFIw7AZjtK0QYMGSceOHY2t3I8HrvLzi9WdvgVvF1YL+g5PnheCsh17T0vjeoEqGMP2o69ukIsX06VDVIi88EgTeW1RxufhuiPGX2S558bqMsTF+GdWvmas7vQtVr5m4MnvM7cHaRiS44svvjC2ckLvzoEDBxpb1scgzbfg7cJgxnd48rww1hmG0vAvIbLs1Q5Gqm0GgfIBJWXK4kRJ+Ou0kZrl8c715f5bXfdyt/I1Y5DmW6x8zaBYBWmUHYM034K3C4MZ3+HJ83rk5XVy8Nh51bv049GtVWka/LzhqEzNCNAu2FVvVihXUkZ0j5D2USFGSu6sfM0YpPkWK18z8OT3mdvbpJnhAwa9NFG6RkTkq1CViaAMnQJwG14d0FRahAdJp+iqmQHa3O/2yUvzd+UI0JrWryhvPtU8zwEaERUPHgnSEJRh6AqMUYZhLTDbANp6mRvlExH5iq9XHlalZugUMOvLPSoNgdmUgVEy/MEIOXvhirw4d4fM/36/yjO764bqMv2JZnJd1bJGChGRjUeCtPnz56uhLzBmGRruY0FbNPSW1NMvERF5K5SWffjtXmPL1tAfbc9QtWnfG3PHvtPy5Bsb5bdNKUZKloFd6svTD3AIHyJyzO1BGkrRDh06JD179lRDV6BnJZbRo0ernp1r1qwx9iQi8k4DpmyURT8ekK6jV6ttlJqhc8DyKe2l2y1Zjf6XxR9RAdq+ZNusAlrliqVl8r+aSrebi24aPCLyfW4P0s6cOaPW5mEvNARp9oPNEhF5m4vptjZleu3Ie0v3ypRFCcZWltYRQfL20BbSplElI4WIyDG3B2l65H5H1ZqoAg0IsDWwJSLyBhgy4+5RK1Wpme4UMPmfkWqsM6ztpZ26JKM/2Caf/e+AkZKl60015JUBUVIlqLSRQkTknNuDNHTRRYnZwoUL1Yj/CNaw6EFmo6KijD2JiDxv7rL9agDa0+cvS9ymVJXWrEGQjO/XRK3N/kg8IU+9uUnWbM9ZI4DBaQf9o4GxRUTkmkc6Djz11FNqvszFixer3p1YtmzZIjExMZxiiYg86otfDsr4j7YbWyKPdKqtOgUEBpSUDs2dD5Hxxa8HZeSsLXI41VbaptWsEiDTBjdTnQuIiPLDo4PZYpy05ORkddtRG7XigIPZ+ha8XTjoq+8oyHnFjPhd/R2Cq7mj2hipzp0+d1ne/PduNUitvRubhsiI7uFSsXwpI6XwWPmacTBb32LlawbFdjBbXFAEZ5h0nUNvEJGnoc0ZvnDyau3O42r6J0cBWo/brpMXH21SJAEaERUPHgnSMB4a2qMBfgk+++yzqsoTA9pim4jIHaZ+mqBKzsxDaYzp3UjuuL6amjEgN/OX75dR723NUb1ZtkwJebZnhDx2d10jhYioYNwepCEIi4+Pl/bt26vtpUuXSnBwcOaAtj/88INKJyIqapuSTqqSM3QK0D03b2lVRc0SoKdysnck7YLqvTl32T4jJUvL8CCZ+XQLub1tNSOFiKjg3B6koQ0aOg1UrVpVjh49qjoMdOrUSVV73nLLLXLw4EFjTyKiwoWSsxGzthhbIo/eUVd1CAivFeg0KDP7dVOKDHp9o8Pemz3/fp28NjCK0zsRUaFxe5CG9mcHDhyQWbNmyXvvvSdly5ZVvTohJSVFlaoRERU29Nr8bvUR2Zh4IrP3JkrN/jPpepk1rIXazg0Gp50wd4ecOHPJSLEJqVhaYvs1kUfvYvUmERUutwdpKEHr0aOH6gmCwWv79++v0lENinZq0dHRapuI6FrpKkzIbfiM3Ow9fFaGzdjscHDaDlGVZdbTLaR9VMGOTUSUG48OwUEcgsPX4O1i1WEPrHZe6HWZeOC0VA0qIQteuEGl/bLhmFqjBC0vvluTLG98niSXr+T8mETJGao4PcXKr0UOweFbrHzNoNgOwQGYcB1t04iICtO+o2fVOuXUFbUGBGd5CdAQkiE4m7o4MUeAhjZnaHvmyQCNiIoHjwRpCMzGjh0rvXr1ktdee02GDBmiht/Qw3IQEeUHqjXRIcDcKeCxO+pK5Yql5fqGZYyUvNmQcFwGTPlDvl552EjJcnubaqr3JnpxEhEVNY8EaW+99ZZqj9a5c2c19Ebfvn3V8BuYJmr58uXGXkREeTPryz2qQwAWdBCAbrfUlIUvtJXet1RU23nxwTd75Zl3tsruQ2eMlCxPdguTZ3tFqHHQiIjcwe1BGmYWOH/+vAwdOlR69uypht5A787Ro0dL06ZN5bfffjP2JCJyDCVnun0Z/K1lVbX28/NTpWf5tSnphBpaY/FPOTsHNKwdKG8PbSH3duDcm0TkXm4P0sqXL6/WlSpVUmuzWrVqGbeIiJwbMGWjTJy/M9tQGvPHtJGpg5rmuVOA9tF//5ThM7dIwl+njZQs/+hYQ2ZkBGiNMgI1IiJ3c3uQ1qpVKwkLC5NvvvnGSLFB54Fff/1VbrrpJiOFiCgnlKJhhgDYsS8rsMJgtM0a5L2t2JY9J+XJNzbJgh/+MlKyYHJ1zLs5uGsDI4WIyP2KfAgOdBGfN2+esWVz9uxZOXTokArWNLRRA1R9dunSRd0uDjgEh2/B24VDcLgXqjWnf54kLcIryvh+TVTah9/ulV83pqgZA3IrOcN5rVy3U9q3bWykiOqt+eE3e+Vzo+2avc7tq8uALvWldEmPNNnNMyu/FjkEh2+x8jUDSw/Bcfp0ziqEcuXKZQvQAFNFYeG0UERkNuurParkLG5LaubgtI/dVU/mjmrjNEA7cfqSTF6wS+4dtUrGLUyRzs+tlJcztr9ZlSx9X17nMECrHhIg4/s2lqfuC/P6AI2IigcOZuthLEnzLXi7sCStaNkPOIv5NjGdU+nS/jL7mVYu59hEgPbYq+vl7IUrcknViuIjzk/8/a5KenrGbT8/JGZz1w3VZcC99Xyq56aVX4ssSfMtVr5mYOmStPzA+GkcK42o+Nq8+4RM+mSX6hSAKk0Y/mCE6hSQlwANZn61xwjQEJzp36AZAZqK1fwzwjWdJlK7WllVhfr0A2EcWoOIvI7HgzQEZphsHYPZYmDbtWvXGjlEVNyknrikfpXD/uRzag0IzvISoEHcphSjBM2Rqxn/bCVpmDFg9rOtpQPn3SQiL+WRIA1F9AsXLpThw4erwCw+Pl61UcOgthMmTDD2IiKrwxAad49aqao0AVWcCJpahAfJwH/UV2n5cSjlgly4lJ5xK6u0zJFJ/SPV3JtERN7MbUEahtjQgdm4cePk+++/Vx0FMOQGxkcbNmyY6tlJRMVH/K7jcvFiuixbkzV/L6ofpwyMynPJmZacdkEW/rjf2MrZ7szGT8qU8pfoJsHGNhGR93JLkIYqTczPicAMARlKzGbPnq1mGWjWrJmxFxFZHaZs0tM2QZM6FdQsAWE1bYNcF8TlK+ky97t98vCktfLf1ckq7epVlKblFFDaX1o3yjmQNhGRN3JLkHbmzBkJCAiQqKgotbDEjKj4QZUmhtPAontwosRs+ZT2MmtYC7WdX0t/PyS9J66T+d/vzwjMbGmqf4C6hf91iZqflCzhL6VK2joiEBH5ArcEaZif88knn5SyZcvKokWLpFevXjJp0iTVkxMD2xKR9VUKLGXcEkk5edG4VTC/b0mVwdM3ypv/3p3jWAjLwmoFSlSDQClTyhakYX1T8xCZ/WwbCSqfEakREfkAj4yTtnz5ctmyZYtaMNl6cHCwKl1r3769VK1qmyi5uOA4ab4FbxeOk5Y3j7y8TjXk735bTTX4LOgOAgUtzdqx75R88sNfsmqrbYYSe1WCSstDt9eWe9rbJkPHednPOGAVVn4tcpw032LlawbFbpw0BGToKPDKK69I9+7dpWbNmrJ48WLVbg3DcRCRb8PMAAePnVcf3l/H2dqJAYKzggRoB46ek+mfJaq5Nh0FaP5+ftI7prZ8PLptZoCmVanokY85IqJr5tFPL5SaYZ5OdCB44403VMCWX9OmTVPVp3pZsWKFkZO7sWPHqv3tB891dbyC3h+RlSEow3AaulMAemaG1woU/xIi93QIVWkFsf8IgrMk6Tt5vZrSyZE7rw+VeaPbyCOd6kjJEroNGhGR7/Oan5g6YBs4cKCR4hoCpqSkJFmwYIFaUEI3c+ZMVQWQGwRmekJ3M1fHK+j9EVndM+9sVXNrolOAnl8TnQGWvdohs6ozP/YePitTFyfIo68gODtspGZ3fZNgefOp5jLswfCMoLCMkUpEZB0+XQ+A2QkQKGkY2gPi4uLU2hm0ievZs6exlcXV8Qp6f0RWV7WSLUjCcBpH0i6o2wWx++AZeW1RgvzztQ3y3ZojRmp2EdcFyrhHGsvE/pHSpG4FI5WIyHp8NkjT1YyRkZFqrWHmAkelZNqcOXPUILrocWrm6ngFvT8iq0FJGWYJ+L/hcZnVmxhK447rq8nohxpKswZBKi0/Ev46LZM/2SWPT/1Dlsc7Ds7q1ygnI7pHyMynW0jH5pWNVCIi6yp2LWpRitapUydjyzugcbXVFqueFxarnltez2vFxhQ1SwD8vjU1M33YA+Fyc8vK2fZ1tWz/85S8NH+nDHp9o/y4PmvWATO0bRvZI1zeHd5SYtpVdXic3BZwlG6FxarnZtXzwmLVc7PqeWHxJI8MwVEYULKF9mCxsbHZuv2iQwCG9EDvUXtoUwY6Dw3/0VkBbeFcHS86Ojrf95cX6NqLKiKrwcvKqucFVju33M5rXeIFWf7HGYlpWV7ahNuqNcctTJHjZ9LlybuDJLxGaZWWH0mHL8rPm8/L+iRb+zVH6lQtKbc1KyfRDfM3PZSZVa+XZuX3Ga+Zb7H6NfPUEBzFJkhD437MGWre31uCNKuNcwQcJ8235HZeXUevltPnL6sPYMwOcC3W7zouX/1+SOI2O28i0LhOBbnvlppya8sqRkrBWfV6gZVfixwnzbdY+ZpBsRsnrTCEhtq69W/btk2tNfS+RDsxe3o/BGp6+AzA+GyDBw92ebz83h+Rr0KbM91DEyoG2kboL2WM3l8QP6w7KkPe2iTPvrvVaYDWtH5FGdunkbw1pHmhBGhERL7OZ4M0ROwIjtDGTEOnAEDJGOgxzQBpeugMvQBK0mbMmOHyeHm5PyJfhzk1H560Xi2bd59QaXNHtZGB99aXyf/M3mnGlbPnr8inPx/IONY6eWXBLtm295SRk12zBhVlfL8mMv2JZnJzCwZnRESaT3ccmDBhglrrkjEEUDr4KghXxyvs+yPyNmsT0lTVBZbla7N6WXa7pWaee23+dfSczFqyRx4Yv0be/3qvHE513O6sZXiQTHi0iUwb3Ew6RIUYqUREpPlsmzSrYJs034K3i5XaAWEuzU1JJ6VfpzpSMzBNndfAaRtV3vh+jdTMAXm1MeM4X/9+SP73xzEjxbGbmleWe26sLq0bVjJSio7VrpeZVc8N58U2ab7FytcM2CaNiNwO7c6WrTmq5th8Z+leI9U2UwCWvAZoP60/KsNnbJERMzc7DdBKlvCTLh1qyPsjW8kLjzR2S4BGROTrGKQRFSNoc6Y7BSAI050BgivkbxiNs+cvy+f/OyCPvLxOXv5kl2wy2q/ZqxZcRh69q658Oj5anujWQOpVL2fkEBGRKwzSiIoJTIA+cf5O1SlAB2rfvHyjTBscJeP65q0of8e+UzL98yTp9sIaeXfpXlUK50jjuhVkZI8I+WRMW+n59+ukQjlbD1EiIso7BmlExURy2kW1RvsR8/ya6BDgqmrz+7VHZPjMzfLkG5vkm5WH5coVx01ZO0RVlpf/1VTeeqq5xLSrZqQSEVFBMEgjsihURfaIjc8cSgMdATDFEnpS5qWn5oFj52T2t39K9/Hx8upCWwcDRzDIeOf21eXdEa0y7qOxtG3E9mZERIWBQRqRBWHic1RFppy8KHOX7VdpKC1DhwCMSZabVdtSJXbuDun78npZ+ONfknrKVgJnr0blAOl3Z135bHy0PHVfmDSowfZmRESFiUEakQWgjdmH3+7NbGvWoXmIlC7tr6ZyalI3UKXl5tTZy/LjpnPS/9UNMvbD7bJiU4qRk1N0k2DVQ3Pe822k1+3XSVBgKSOHiIgKE4M0Igt45p2tsujHA9Ln5XVqG6Vm6BTw8ejW8thd9VSaI1v3nJRpnybK/ePWyBcrT8ufyWeNnOwCy5aU+26uKR+MbCWT+keqsc6IiKhoMUgjsoCTpy+r9dX07PNrOuoQcO7CFfnq98Py5BsbZejbm+W/q5PlqpMhrRvXCZSh94fJ5y9Gy4Au9aUuh9AgInIbBmlEPgZVml1Hr1aLrt58Z0QLaREeJAM651JqtveUvP5Zotz3whp5699JsmPfaSMnp5i21WTq4Ch5a0gLufvG6lLCv+CTqxMRUcEwSCPyMfO/3y+nz19Wy6wv96g0lJhNGRil5tg0O3cxXb6KO6SGzhj61ib5dlWyXLqcbuRmV7Wivzx2d135LDZaRvaMkOZ5nKuTiIiKBoM0Ii+HWQIwEK2GUi50CsByn11Qpm3Zc1Je/yxJuo1ZJW99sVsNQutMh2aVZXzfxjK+Z2Xpcdt1UokdAYiIvAKDNCIv99LCnRK3JVWNewYY4wydArCYxzs7i7ZmcYfliekb5em3N8u3qw7LZSeDzlYPKSN9OtWWj0e3UQFa+6gQI4eIiLwFgzQiH6E7B9hDqRl6aKq2Zl8kyc79ztuaodQstl+TjOCsrTwcUycjWMvbJOpEROR+DNKIvAiqNmNG/K46BWhTBkSpWQLQOUA7e/6KLFlxSAYbpWbooXnZSVszDDr7SKc6Mn9MW5aaERH5EAZpRF5k0c8H1Nya6BSAgA1QpYlZAtA5YNPuE6rUrNvY1fL2f3bLrlxLzUIktp9t0NneMbUz/r6MkUNERL6AQRqRB2GWgBGzthhbIj3+Vkt1CKhZJUAa17PNFHDm/BX5z28HZdDrG2X4jC2q1OxKuuO2ZtlLzZpI+ygOOktE5KsYpBF5CObXXPzTQdmYeCIzULulVRXVIWDuqDaSnHpBpi62lZrN/HKPJPzlvNSsY7PK8uKjTVhqRkRkIQzSiNxIDz4LmF8TVZtm6KH5n1+NUrOZW+S7NcmS7qTUrGaVsvLIHXXkkzFtZVzfxnJjU7Y1IyKyEgZpRG6Csc56T1yX2SkAbczG9G4kA++tL/+8p5688XmS3P/CGpm5JPdSs5tbVFGlZnNHtZbe/1dbqrHUjIjIkhikEbnJxsSTan3mwhW1hkvpV+X3ralqbLOvVx52OhtArSoB0u/OurJgbFsZ26cRS82IiIoBBmlERQTtzAZO22hsiZqoPDCgpNzUPEQ++u8+6T4+Xl5ZsEs2Jp0w9sgJpWYTHmsic0a1kV63XydVK7HUjIiouGCQRlQEpn6aoDoEJB44nTmlU5ky/tIiIkh+3ZgiC37YL6mnLqp0exhgtq+p1OyGSJaaEREVRwzSiAoBOgTocc2gbUSwWvv5+Ul6ushjr26QsR9ul7jNKSrdkXaNg2XsI43VVE0PsdSMiKjYY5BGVAiGvLlZJs7fmVm9WbdGOemIkf2vXpWV21JlX/JZlW4vsGxJue/mmvL+yFby0j8j5ebmHNeMiIhsGKQRFYLUU5fU+s/kM/Li3B3yz9c2yIotqeJ48AyRJnUryNMPhMu/X7xeBnSpL/WqlzNyiIiIbBikEeVT4qHL8sjL67LNFHBbqypSqoS/XLp0VX7b5LxKM6ZdNZk2uJm8+VRzueuGUPHnO5CIiJzgVwRRHpw4fUkmL9gl945aJa9/lSYHj51XHQMmzt2pArYf1x+VS1fSRfyMPzCpWTlA+t9TTz5/8XoZ2SNCmjWoaOQQERE5xyCNyIVV21Kl98S18uvGY3L+0lXJqsO8Kr9sPKoCNkea1q8ozz3UUOY+30a6/62WBJUvaeQQERG5xiCNKBebd5+QFz7cnhGcpculy4jOMpbM0rKMG37+Gf9nb3l2U/Mq8srjTWX6E83k762rGqlERET5wyCNKBeYcil7CGbvasY/PxW33duhuuql+cIjjaR1w0q2bCIiogJikEZk8sUvB+XuUSvVALSbd5+U1z/bbeTk7p3hreTJbmHspUlERIWGQRqRycfL98vFi+kStyVVhs3YLOt2phk5DnoEKH5SppS/NKjJ4IyIiAoXgzQq1lByhgXWZgRkZQIcB2NXrzqe+DygtL+0bsSqTSIiKnwM0qjY+vDbvTLrqz1q6T0pXka9t01SjtsGpTVDm7RSJfykhBrUTAdxflKyhL+UKiky/MEII42IiKjw+HyQNm3aNOnVq1fmsmLFCiMnp4SEhGz7Dh482MjJ4up4+bk/8m7HT2YFZMmpjic7RwcATNe0aFy03NQiRMqUsgVpWN/UPERmP9uGQ2sQEVGR8OkgDQFTUlKSLFiwQC0xMTEyc+ZMFYw5Mm/ePBk0aFDm/mlpaeoYmqvj5ff+yLtghoBOz8TJiHc2y9C3N8t38UdUOvpn2otuEiyTH2+qhtKIbhwsQYGlZHTvRrL05Rsktmdl+XryjfJ8xnaljHQiIqKi4NNB2tq1a1WgpPXt21et4+Li1NrehAkTpGPHjsaWqL9F0KW5Ol5+74+8y6akE5J+RWRjwknZuuekkYqKy6x2aO2jKsuUQVEyqX+ktHEyjEaVimwlQERERc9nv210NWNkZKRaa2FhYZKammps5Q77hYSEqNuujlcY90fuk5x2XqZ+mqA6Bfyw7qgMen2jXM1lwLObmleW159oJrH9GkuLsCAjlYiIyHOKdZEASsYQZHna1YzowWqLp89r5pd75LvVR1SngMkLdkrCX6fVY7L3t1ZV5c2nmsnYPo2kab0KDo9lv4CjdF9feF6+t1j13Kx6Xlisem5WPS8snuSX8QA8+wgKCCVbaA8WGxsrERFZvevGjh0rwcHBMmzYMCPFMd2+bMaMGWrb1fGio6Ov6f6c2bVrl/j5ORuDy3fhZeWp81qx/bx88fsp2zybTkQ3DJDbmpWVOlXz16ZMv12sds14Xr7Jk++zomTV8wJeM9+Dc2vYsKGx5V7FMkibM2eOLF++XDX+1zwZpHnq4hcld54XqjaHvLlZUk9elIrlSsmJs7Zemxm/gbK1N4NO0aHS7eYa0qBGeSMlf/B2QUcRq10znpfvsfI1S0xMzPY5axVWPTcrXzPw5Pe0z1Z3hoaGqvW2bdvUWkPpWG5VmDpAQ7Bl5up4Bb0/Knq//JEiKRkBGn5t6AANzAHaXTeEygfPtJIR3cMLHKARERG5k88GaYjYERwh4NIQgEGXLl3UGlWaGMtMMwdo9hG/q+Pl5f7IPTbvPqGG03h5/i7515QN8v7Xe42cDHblwvd2qCFzRrWRpx8Il7qhnLqJiIh8h89Wd2oYkBbjnWnmKkwEaegcoNPMAZtZ9+7dMwOt3I4HrvLzi9Wd+dd1zGo5fe6yseVY15tqSLeba0r1kAAjpXDg7cJqQd9h1fMCK18zVnf6FitfM/Dk97TPB2m+jkGaa2hzBjv2nZbPfj4gO/c77qkJXTrWkPtvKfzgTMPbhcGM77DqeYGVrxmDNN9i5WsGnvye5qic5NV+2XBMHp60TnpPXCcT5+7MCtAyflqgY4B2942hMndUG3mia4MiC9CIiIjciUEaea3V29Pk3W/2ZPxKs21f9TMV+vrZOgbccX2ozH62tQy9P1xqVmFwRkRE1sEgjbzKh9/ulR4vxsvjr/0hYz7YJkfTsiY+N/fWjGlbTd4f2UqGPxgutauVNVKJiIisg0EaeQ3Mp7nopwOScuKi7D58xkjN7u+tq8o7w1vKyJ4RUq86e2sSEZF1MUgjj8JwGqu2pcrEeTtl6NubVVszR25tWUVmDG0hzz3UUMJqcpwzIiKyPgZp5DGxc7fLsBlbZOyH2+V/G48aqdm1j6os059oJqMfbiQNawcaqURERNbHII3c7lDKeZn+WaKs2JRqpGAsmOzTN7VpWEleHRAlsf0aS9P6FY1UIiKi4oNBGrnN8+9vk86jVkmfl9bJN6uSjVSDEaM1a1BRJvaPlMmPN5VWEUG2RCIiomKIQRoVuXMXrshb/0mS+B1pcv7iFSM1u0Z1AuWFRxrLtMHN5PomwUYqERFR8cUgjYpEyqkr8sE3e9S8mr0mrJWvVhw2crIPQtugRjl5tleEvD2khdzUvLKRSkRERAzSqEhMW3JcFv90UD79+UCOeTYx3lmtqmVl2IPh8u6IVnJ7m2pGDhEREWkM0qhQ/Xd1svSdvF6On0k3UrKrXLG0DOxSX+Y811ruvD7USCUiIiJ7DNLommEC9G5jVsudI1fK1E8T5MDRc0ZOBqNms3xACXn0rrqyYGxb6XZzTVsiEREROcUgja7Jqq2pMvTtTXLq3GW5nJ6ebeomKFnST3rdfp0Kznr+/Trx98+eT0RERI4xSKN8wywBoz7YYhuIdvZ2OXb8kpGT3X231JJPxraTfnfWlXIBJY1UIiIiygsGaZQvO/adkhGztsra7SdUsObI3TeEyvieITLg3noSUqGUkUpERET5wSCN8uTP5LPy6sIEefKNTZKe7niCzdtaV5V3h7eUoQ+ES9WKJYxUIiIiKggGaZSrJSsOScyIOOn/6gb5fu0RI9VGj3fWPipE3niquYx6qKE04OTnREREhYJBGjl04sxlNRDt2//ZLVd1wZldAVrriEpq+qbYfk0ksm4FI5WIiIgKA4M0yubTnw7IY6+sl14T4tVAtObZAXTHzcZ1Ksj4vo3VBOiYCJ2IiIgKH4M0yoSg7P1v9sq+I+fk4iXbYLTmITXqVS8nz/aMkLeGNJcOzTiFExERUVFikFbMYSDar+IOSe+Ja1X1piPVQwJkyH1h8v7IVnJ7W07hRERE5A4M0oqRQykXjFs2g6b9kRGcrZO3vtidEazZ8lT1plHDWSmwlDzeuZ58PLqN3NO+ui2RiIiI3IJBmsWdOH1JJi/YJZ2fWyl9Xlqr1kPe3iz/nPKHJBw4Y+yVBdWbAWVKSJ9OdWTB2HZy/621jBwiIiJyJwZpFoYA7bFX18uvG4/J+Uu24jGst+05IXsPnlbb9h78Wy01hdPDMbWlVElO4UREROQpDNIsbOZXe+TshSty6TKqMHUvTawzgi8//4z/dZrIPzrWUMHZP++pJxXKcQonIiIiT2OQZlHoEPDLhiMZAZpt+6pfVkBmg9ZnfnLXDaEyd1QbGdy1gVStVMbIIyIiIk9jkGZBGxKOy6OvbJAr6aiutAVnaGuWbcwzw8MxdaRmlQBji4iIiLwFgzQL2bz7pIz7aIc8887WzHHOzMxjnmGrTCl/qRJU2tgmIiIib8IgzQLiNqdI1zGrZdiMzfL7lhRbolFo5qj0DAJK+0vrRpwtgIiIyFsxSPNhCX+dlknzd8r4OTvk9Dnd+My2QqEZbpYq4Scl/HGZdSman5Qs4S+lSooMfzDCSCMiIiJvwyDNB8XvTJNhb2+RQa9vlP9tOGakGoxYrE2jSvLK401l0QvRclOLEClTypaB9U3NQ2T2s20kqDx7cRIREXkrBmk+ZF/yOZk4b4c8/9422bznhJGaXcvwIJnUP1Im/6upmvw8KLCUjO7dSL6efKPMe76tWj+fsY3ZBIiIiMh7MUjzAQeOnpPpnyWqgWl/2Wi0ObMTVb+ixPZrIq8NjJLoJsFGanY1KnOIDSIiIl/BIM2LHU49L6Pe3Sp9J6+Xb1YlG6kZTJ0CmtStIGP7NJLXn2gm7aNCbBlERETk8xikedixkzmHyjh24oLMWrJHHp60TtbuOm6kmviJRFwXKGN6N5Y3n2ouN7eoYmQQERGRVfhdzWDc9knTpk2TtWvXGlsigwYNko4dOxpbObna/1rz8wJzas76ao/EbUqR85fSJaCUv7RvXlkeur22vP35bvkj8YSDGQJsGtQsLw/cWktub1PVSPFOu3btkoYNGxpb1oG3S0JCguXOjefle6x8zRITEyUiwnq9z616bla+ZuDJ7zOfLklDwJSUlCQLFixQS0xMjMycOVN9cDniav9rzc8LZ5Oe/2/DUXn0lXWyIem4wwCtTmg5Gd49XN4d3tLrAzQiIiK6dj4dpKFEC4GS1rdvX7WOi4tTa3uu9r/W/LzINul55qBmVyU9HbWYOS8Hpmwacn+YfPhMK7kjOtRIJSIiIqvz2SBtxYoVah0ZGanWWlhYmKSmphpbWVztf635eYUqTj3puZY1K4Btje3KQaXkia4N1OTn99xYXaUTERFR8eGzbdIQNKGqMTY2Nls9+NixYyU4OFiGDRtmpNi42j86Ovqa8u3vz5FDKRekz0tZ7dmcuatNebm7bTlji4iIiDylbNmyUrt2bWPLvRikuTFIg3ueWykXVFs0R087Jj33UwPOEhERUfHGITjcDAPNBpTW82hmx0nPiYiISPPZIC001NaIftu2bWqtofcl2onZc7X/tebn1VP3hUnpkrZJzlFyZsNJz4mIiCg7nw3SUOWI4Gj58uVGisicOXPUukuXLmqNITN69eqlbrva/1rz8wpzZmJy847NOek5EREROefzg9kOHjxY0tLSjC1R45dpCNIwbIY5Lbf94Vrz8wudCTinJhEREdnz+SCNiIiIyIrYcYCIiIjICzFIIyIiIvJCDNKIiIiIvBCDNCIiIiIvxCCNiIiIyAsxSCMiIiLyQgzSiIiIiLwQgzQiIiIiL8QgjYiIiMgLccaBQrZkyRJZvHixsSUSExMjffv2NbZycrV/fo9XVDBPqXne0rw8Dj1vKgQHB8uMGTOMLRtX+e6mpxFzdW72z0X37t2zzd/qKt+d7F8/bdu2lWHDhhlb2SUkJMi4ceOMLVFz1U6YMMHYcp3vTmPHjpWkpCRjS2TQoEHSsWNHYysnfW01+/1d5Rc1vBccPZ/5fc697Rrq5zU2NlbNf6ytWLFCZs6caWzl7XHYX3P7Y7rKL0z68ef2WaE/B3J7z4G3fQfo59HRlIf2rx9Xn9vunmYxN/p5dPR5bP/+d/WZ7dbvAARpVDi+/PLLqz179ry6a9cutf3bb7+pbaQ74mr//B6vqOD+M760jK2sx4XH4wzyP/roI2Prqvr7MWPGGFuu891NP7d4HObHZQ952E+zfy5c5buT/WPJDa4x9jW/trA9depUddtVvjvhdWJ+rejnWL9P7OExml+/+nnR+7vKL0r6dYfF/vWf3+fc1f75Pd61wnOK42Oxfy6Rp9P048Lz7oz9Ncdjxt9orvILk3595PaY9TnhPHN7fu1fu/r1oK+Rq/zChmPrxZ6+77x+ltmfO66P+X3mKr8w6dcDFvvnDnnm+3V1nvr6a/oa6f1d5ecXqzsLESJx/GrSv97wSxy/EM0Rupmr/fN7vKKC+zf/WsIvAvyCSkxMNFKywy8WMP/aw68//DrDLzFX+Z6wbNky9WvHlfj4ePVYNf1crFmzRm27yncn/JLL+PAxtnIXFxenHqf51x7OQ7/WXOW7U2pqqnofaJGRkcYtx/AYzddEv+5wTuAqvyjp0hi8z+3l9zn3pmuIkglw9vrD54n+XMMa528uBTPDZwLyOnXqZKSIdO7cWa3xWeIqvzChBE2/r/BcOrN06VL13IaEhBgpjuG595bvAJSg4djOPgfxGYlzwmNwBc8TSsj0dQBcH6Qhz1V+YcJrAM8XSlYdwX2aP09cnZ+7vwMYpBUifFCYLzZgG18qjrjaP7/Hcye8sJ19SDl63PqLNDk52WW+u+FNjOfU/OXlCL4McN7h4eFGig3OBemu8t1Jfznl5QMVHF0TfR76SzC3fHfC4zBXJeALEWn6i8xMf+DbB3LYH9fcVX5RQ/WOs6qr/D7n3nQNUb2Xn+YLuX2ebNu2Ta3Nr2Vca+yPv3OVX5hwH7hmub2v8JpCUODsupo5uibm156r/MKE6mZnVc769aNfL67gBzyef/N7Uj9nKSkpLvMLEz7Xcc0cfT4Ank9cL/0eQFUlHpuja4x9cvuMd5VfEAzSKN90AOCqBMNX4Avf/MvHCvCBgA8atPlAeye9FPaXsScgAEDpgj4nnGtRtquioqUDAPtgxFfpEicr0T+ecW7mz5PCLqn0BATTuF5oa4dzQkmYp9tHmzFIo3xD40u8qJ39MvEl+NWEKglXpWi+CMHL0KFD1a9ILAhspk+fbuT6NvzyRRCKL3Z8weM6km+aN2+euo5WeA/qUvm8lKL5InyG6M8TVIviu8AKP/wQmAHOD5+burreGzBIo3xByQxeyFb5EEIpmrkti5XYVydER0erDyBf/1DFr138SMCvXZSgoX0QrqMVftUXN/gyRFBjlZJQK5bKm5lrT3RQraubfRW+0/AjAYEnSunRdg0/Ar3lhx+DtEKEL0X8qjfLrRjf1f75PV5Rw4sZpU65dScH7GP/uM3tRlzlu4tuj4TG27r4HkEMPmhx254OeOw7TOhr4irfndAmAudiptt6OCoBdfRaM7cbcZXvLvqadejQQa0Brxk8DvvzhdDQULW2/yLR18RVvifl9zl3tX9+j1fU9LAHrqqWKleurNb62oO57Y+rfHfR94nSJf15gucb54jbjn4cObom2NavPVf57qI/l81thvX56OffDI8bz4X5nPX1QaDnKt9d9DXDD1gN7wU8v47a/en3Cd43ZvqauMovCAZphahdu3bZGiDiRYeLo18A+KWPN6t+Mbra31W+O+kAzdkvXpyXLiLWX6DmXyIIfFACB67y3QUfPLroXi/48MAvYdwGPEbzByweIx6rhmuKN7k+J1f57qI/VJ09xzgfnJfO16Vs5tIo7I/XILjKdxcdVJl7XuJ9gceGawd4HeLcQH/gmq+JPmeUBLjK9yRXz7mvXkPQAZp+n9lDT0N85oAOwtEeSkNnEaQhz1W+u+C1ZP4swYLXFt5zuI18PPe4Zr74HYBzye05xvXCdQP93sE+Gv4Wx8Dz4CrfXfR9mXte4rnGc4zvO8D7y5PfARzMtpDpDx8NVTH6RYyLhV9Z5rTc9gdX+e6gH7cj+PABvIjx4tSlbPgwMQ9Wac4DV/megg8afDDq6ly8QfGGMw+M6WrQTFf57oIPFWcDl+o8BKT6XO2vszkPXOW7i/15gXmwSEcBAK4rPig1cx64yi8qOpg0wxefLl3K7Tn35mto/7ml4fMLgbb99dP05xveQyjJMJeymZ8r83OkucovDPafW5qzzy+cBx6LztPPvzd+B9h/bmnmz6/c3ifIM/+Qz+3zB1zlFxb717xmfu3bvw/NeZ7+DmCQRkREROSFWN1JRERE5IUYpBERERF5IQZpRERERF6IQRoRERGRF2KQRkREROSFGKQREREReSEGaUREREReiEEaERERkRdikEZERETkhRikEREREXkhBmlEREREXohBGhEREZEX4gTrRETkcQkJCTJu3Dh1Ozg4WGbMmKFuExVnLEkjokxz5syRXr16qWXJkiVGqvfCFzse64oVK4wU36PPQT/feb0GvnKN8mrevHmyYMECtaSlpannhai4Y5BGRNmEhYWpL8ouXboYKVkGDx7sc0GRDoIQ/Lgbnqf8BlN9+/ZVzz9Kk5zRx3N0jXzVhAkT1BrnhtdgRESE2iYqzhikEVGeIOBACQe+QNesWWOk+o7cgp6iVrlyZeNW4Vi7dq20bdvW2LIG/QMgKSkpM2AjKu4YpBFRniAwQ2CAIA1fpL4CJTLOSgaLWseOHdV9Y11YUDKI5z86OtpI8Q3malzzMm3aNJWPNmh4rkCnERV37DhARJnwReqsJANfqN27d5fIyEjVwHvQoEE5gg/so9nn44sXJUCa/kIGBB660bhmzkcp3syZM9UxsYbY2Fi11o9l4cKFqqQP8DjNQZl+7OY0lNzo/RF45lZ6Y94XzI8NUEW3ePFiYyvr3PV5mZ8L+3PF48LfOnp8MTExOYJLXKP4+PhsDesdnR/S8PeoPgX9HNqz/zszZ9cM57t8+XLp2bNntmMi3/xcuHpeHcHf4z5ZmkbEkjQiygPdBg1f5iiZQtWhfZXn2LFjVUkbvqixLFu2zMixfdkj+NN5CAx0aQmOjaAFaTofxzEHfBoCAr2Puc0S0hEw6GMjSNCP2REEQAgg9LFwPggOHMG++thY8Hc4V00HJQgakY81AkZncK7m58kc3OUFArR27doZW3mH50g/xzrAdRWgObtmgKAV56nz8RzimiHA0veBv3fVFhDXyXxcBH9Wq8olKigGaUTkEgIyBCcaggRzCQukpqZKSEiIsZXVEBwlR9gXpToaAoNhw4ap2/rY5mBB59l/waNEyhFzSRWO4yiI1BBUIcDo3LmzkWK7P2fBCkqszCWCeKw4V00HFTpoxNrZ8BE6ENTnBzpgygsENHjsHTp0MFLyRgesKAUFPEach7l00MzVNdPM54nXBJ53fd31fZifK0f0c4sADwuO4+xaEBU3DNKIyCV8YZtLN8LDw9XaXPqEL3QELPiiNZdiJScnq7UOEOyhtMUcAGqOvuBDQ0ONW7nLLQBBOoIJc0mcKzqAwIJzNMPxHD1+R/R9F5QOaPPz2EEHQtu2bVNrBGF43p09FlfXLD+cXQczBH+6RE5XzxIRgzQickEHYqiW04GKbodkLk1D6Qe+ZBHMIR/VhFaA8zVXT5pLl9zNPljOL30NUeWK82CJFZF3Y5BGRLlCYIDSGx2kmIMVlMbYQ6kIqvBQgoISNV36pUtx7KGK1NFxnJWw5UVupURIx2NDaZIrukTQXDVqD8dz9Pgd0fddEDpYLkhghb/FfZuvX24lVq6uGRG5B4M0InJKV4s5Kr3R7aIQAGA/c8mZ/nLHl71um2SuJsTf6MbinTp1UvehgxBAHoKKvAYkKLnTARWOg0DIWWClj7l06VK1Btyf+f41+2AF92Ff3anb5+mgz/65MNPVh+a2duaenrnJrRTN/vm1v3+M04bnRJeE6sXROYOra0ZE7sEgjYic0sGJo7ZJ+CJHIIXgAbdRsqa//FGthsb8uu0UGpOjxMycrxuho70U9jVXpyJoc9b43hGU3CFQc3TfjqAkCY9b3x8CGEcBIY6he4tiP9yHfXUnSqSQhmAL+2CN3qCO4Hh4bAh+9H3jseN5zI0Olp2NjYbn1xyE4f7Nx9Rt0nBfuiTNVS/Y3K4ZEbkHx0kjoky5jZNG7oXSMN1uzNHYaPmBEjAEcebrisAPAaW5ZywReReWpBERebmCjo1mhuDbTFf3MkAj8l4sSSOiTCix0e2QchvolIpOUV0DDMBrH6ih2pOIvBeDNCIiIiIvxOpOIiIiIi/EII2IiIjICzFIIyIiIvJCDNKIiIiIvBCDNCIiIiIvxCCNiIiIyAsxSCMiIiLyQgzSiIiIiLwQgzQiIiIiL8QgjYiIiMjriPw/HiE3aZ0rf3EAAAAASUVORK5CYII=\"/>\n  </p>\n  <p>\n   Suggest a range of absorbance values for which this curve can be used to calculate ascorbic acid of broccoli accurately.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest what should be used as a blank for spectrophotometric reading.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iv)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Discuss why it is important to obtain a value of R\n   <sup>\n    2\n   </sup>\n   close to 1 for a calibration curve.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   After 3 days, the broccoli samples were removed from storage and 1.0 g of each sample was blended with 100.0 cm\n   <sup>\n    3\n   </sup>\n   of water. The filtered solution was mixed with the reactant in the same proportions as that used for the calibration curve in a cuvette and measured.\n  </p>\n  <p>\n   The sample stored at 5 °C showed an absorbance of 0.600. Determine the concentration of ascorbic acid in the sample solution by interpolation and using the line equation.\n  </p>\n  <p>\n   <br/>\n   interpolation in graph: ..........................................................................................................................\n  </p>\n  <p>\n   <br/>\n   using line equation: .............................................................................................................................\n  </p>\n  <p>\n  </p>\n  <p>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest why water was chosen to extract ascorbic acid from the spinach leaves with reference to its structure.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Estimate the % change in ascorbic acid concentration when stored for 3 days storage at 5 °C and 20 °C.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Estimate how much ascorbic acid will remain after 6 days storage at 20 °C in the same experimental conditions, stating any assumption made for the calculation.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   1-\n  </em>\n  1.0 cm\n  <sup>\n   3\n  </sup>\n </p>\n <p>\n  <em>\n   2-\n  </em>\n  4.0 cm\n  <sup>\n   3\n  </sup>\n  <em>\n  </em>\n  ✔\n </p>\n <p>\n  <em>\n   3-\n  </em>\n  8.0 cm\n  <sup>\n   3\n  </sup>\n </p>\n <p>\n  <em>\n   5-\n  </em>\n  4.0 cm\n  <sup>\n   3\n  </sup>\n  <em>\n   <sup>\n   </sup>\n  </em>\n  ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award [1] for 2 correct answers\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   1-\n  </em>\n  1.0 cm\n  <sup>\n   3\n  </sup>\n </p>\n <p>\n  <em>\n   2-\n  </em>\n  4.0 cm\n  <sup>\n   3\n  </sup>\n  <em>\n  </em>\n  ✔\n </p>\n <p>\n  <em>\n   3-\n  </em>\n  8.0 cm\n  <sup>\n   3\n  </sup>\n </p>\n <p>\n  <em>\n   5-\n  </em>\n  4.0 cm\n  <sup>\n   3\n  </sup>\n  <em>\n   <sup>\n   </sup>\n  </em>\n  ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award [1] for 2 correct answers\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  0.050−1.000 ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  water\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  all samples dissolved «in water» ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iv)\n </div><div class=\"card-body\">\n <p>\n  ensures the line is best-fit ✔\n </p>\n <p>\n  line/equation of the line will be used for quantitation ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept any other explanations referring to accuracy.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Interpolation:\n  </em>\n  9.8\n  <strong>\n   μg\n  </strong>\n  cm\n  <sup>\n   −3\n  </sup>\n  ✔\n </p>\n <p>\n  <em>\n   using equation:\n  </em>\n  0.600/0.06283 = 9.55 «\n  <strong>\n   μg\n  </strong>\n  cm\n  <sup>\n   −3\n  </sup>\n  »\n  <sup>\n  </sup>\n  ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  «ascorbic acid» has multiple −OH/hydroxyl groups ✔\n </p>\n <p>\n  can H-bond with water ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do not accept OH−/hydroxide for M1\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Δ % = «95.5 - 50.0/95.5 × 100»= 47.6 % ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept calculations using line equation\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  assumption: linear decrease ✔\n </p>\n <p>\n  rate «mg 100 g\n  <sup>\n   −1\n  </sup>\n  day\n  <sup>\n   −1\n  </sup>\n  =  95.5 − 50.0 / 3 » = 15 «mg 100 g\n  <sup>\n   −1\n  </sup>\n  day\n  <sup>\n   −1\n  </sup>\n  » ✔\n </p>\n <p>\n  «95.5 − 15 × 6 = 5.5 «mg 100 g\n  <sup>\n   −1\n  </sup>\n  day\n  <sup>\n   −1\n  </sup>\n  » ✔\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "inquiry",
      "structure-2-models-of-bonding-and-structure",
      "tools"
    ],
    "subtopics": [
      "inquiry-1-exploring-and-designing",
      "inquiry-2-collecting-and-processing-data",
      "structure-2-2-the-covalent-model",
      "tool-1-experimental-techniques",
      "tool-3-mathematics"
    ]
  },
  {
    "question_id": "EXM.2.HL.TZ0.2",
    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the ratio in which 0.1 mol dm\n   <sup>\n    –3\n   </sup>\n   NaH\n   <sub>\n    2\n   </sub>\n   PO\n   <sub>\n    4\n   </sub>\n   and 0.1 mol dm\n   <sup>\n    –3\n   </sup>\n   Na\n   <sub>\n    2\n   </sub>\n   HPO\n   <sub>\n    4\n   </sub>\n   should be mixed to obtain a buffer with pH= 7.8.\n  </p>\n  <p>\n   p\n   <em>\n    K\n   </em>\n   <sub>\n    a\n   </sub>\n   NaH\n   <sub>\n    2\n   </sub>\n   PO\n   <sub>\n    4\n   </sub>\n   = 7.20\n  </p>\n  <p>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest, giving your reasons, the effect of diluting the buffer 1/100 with water on its pH and reaction to the addition of acids or bases.\n  </p>\n  <p>\n  </p>\n  <p>\n   change in pH:\n   <br/>\n   <br/>\n   .............................................................................................................................................................\n  </p>\n  <p>\n   .............................................................................................................................................................\n  </p>\n  <p>\n  </p>\n  <p>\n   reaction to addition of bases/acids:\n  </p>\n  <p>\n   .............................................................................................................................................................\n  </p>\n  <p>\n   .............................................................................................................................................................\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    pH\n   </mtext>\n   <mo>\n    =\n   </mo>\n   <mtext>\n    p\n   </mtext>\n   <msub>\n    <mi>\n     K\n    </mi>\n    <mtext>\n     a\n    </mtext>\n   </msub>\n   <mo>\n    +\n   </mo>\n   <mi>\n    log\n   </mi>\n   <mfrac>\n    <mfenced close=\"]\" open=\"[\">\n     <msubsup>\n      <mtext>\n       HPO\n      </mtext>\n      <mn>\n       4\n      </mn>\n      <mrow>\n       <mn>\n        2\n       </mn>\n       <mo>\n        -\n       </mo>\n      </mrow>\n     </msubsup>\n    </mfenced>\n    <mfenced close=\"]\" open=\"[\">\n     <mrow>\n      <msub>\n       <mtext>\n        H\n       </mtext>\n       <mn>\n        2\n       </mn>\n      </msub>\n      <msubsup>\n       <mtext>\n        PO\n       </mtext>\n       <mn>\n        4\n       </mn>\n       <mo>\n        -\n       </mo>\n      </msubsup>\n     </mrow>\n    </mfenced>\n   </mfrac>\n   <mo>\n   </mo>\n   <mo>\n    /\n   </mo>\n   <mo>\n   </mo>\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    80\n   </mn>\n   <mo>\n    =\n   </mo>\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    20\n   </mn>\n   <mo>\n    +\n   </mo>\n   <mi>\n    log\n   </mi>\n   <mfrac>\n    <mfenced close=\"]\" open=\"[\">\n     <msubsup>\n      <mtext>\n       HPO\n      </mtext>\n      <mn>\n       4\n      </mn>\n      <mrow>\n       <mn>\n        2\n       </mn>\n       <mo>\n        -\n       </mo>\n      </mrow>\n     </msubsup>\n    </mfenced>\n    <mfenced close=\"]\" open=\"[\">\n     <mrow>\n      <msub>\n       <mtext>\n        H\n       </mtext>\n       <mn>\n        2\n       </mn>\n      </msub>\n      <msubsup>\n       <mtext>\n        PO\n       </mtext>\n       <mn>\n        4\n       </mn>\n       <mo>\n        -\n       </mo>\n      </msubsup>\n     </mrow>\n    </mfenced>\n   </mfrac>\n  </math>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    log\n   </mi>\n   <mfrac>\n    <mfenced close=\"]\" open=\"[\">\n     <msubsup>\n      <mtext>\n       HPO\n      </mtext>\n      <mn>\n       4\n      </mn>\n      <mrow>\n       <mn>\n        2\n       </mn>\n       <mo>\n        -\n       </mo>\n      </mrow>\n     </msubsup>\n    </mfenced>\n    <mfenced close=\"]\" open=\"[\">\n     <mrow>\n      <msub>\n       <mtext>\n        H\n       </mtext>\n       <mn>\n        2\n       </mn>\n      </msub>\n      <msubsup>\n       <mtext>\n        PO\n       </mtext>\n       <mn>\n        4\n       </mn>\n       <mo>\n        -\n       </mo>\n      </msubsup>\n     </mrow>\n    </mfenced>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n  </math>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    80\n   </mn>\n   <mo>\n    -\n   </mo>\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    20\n   </mn>\n   <mo>\n    =\n   </mo>\n  </math>\n  » 0.6 ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mfenced close=\"]\" open=\"[\">\n     <msubsup>\n      <mtext>\n       HPO\n      </mtext>\n      <mn>\n       4\n      </mn>\n      <mrow>\n       <mn>\n        2\n       </mn>\n       <mo>\n        -\n       </mo>\n      </mrow>\n     </msubsup>\n    </mfenced>\n    <mfenced close=\"]\" open=\"[\">\n     <mrow>\n      <msub>\n       <mtext>\n        H\n       </mtext>\n       <mn>\n        2\n       </mn>\n      </msub>\n      <msubsup>\n       <mtext>\n        PO\n       </mtext>\n       <mn>\n        4\n       </mn>\n       <mo>\n        -\n       </mo>\n      </msubsup>\n     </mrow>\n    </mfenced>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n  </math>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      6\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    =\n   </mo>\n  </math>\n  » 3.98 ✓\n </p>\n <p>\n  Na\n  <sub>\n   2\n  </sub>\n  PO\n  <sub>\n   4\n  </sub>\n  to Na\n  <sub>\n   2\n  </sub>\n  HPO\n  <sub>\n   4\n  </sub>\n  = 3.98:1 ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    pH\n   </mtext>\n   <mo>\n    =\n   </mo>\n   <mtext>\n    p\n   </mtext>\n   <msub>\n    <mi>\n     K\n    </mi>\n    <mtext>\n     a\n    </mtext>\n   </msub>\n   <mo>\n    +\n   </mo>\n   <mi>\n    log\n   </mi>\n   <mfrac>\n    <mfenced close=\"]\" open=\"[\">\n     <msubsup>\n      <mtext>\n       HPO\n      </mtext>\n      <mn>\n       4\n      </mn>\n      <mrow>\n       <mn>\n        2\n       </mn>\n       <mo>\n        -\n       </mo>\n      </mrow>\n     </msubsup>\n    </mfenced>\n    <mfenced close=\"]\" open=\"[\">\n     <mrow>\n      <msub>\n       <mtext>\n        H\n       </mtext>\n       <mn>\n        2\n       </mn>\n      </msub>\n      <msubsup>\n       <mtext>\n        PO\n       </mtext>\n       <mn>\n        4\n       </mn>\n       <mo>\n        -\n       </mo>\n      </msubsup>\n     </mrow>\n    </mfenced>\n   </mfrac>\n   <mo>\n   </mo>\n   <mo>\n    /\n   </mo>\n   <mo>\n   </mo>\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    80\n   </mn>\n   <mo>\n    =\n   </mo>\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    20\n   </mn>\n   <mo>\n    +\n   </mo>\n   <mi>\n    log\n   </mi>\n   <mfrac>\n    <mfenced close=\"]\" open=\"[\">\n     <msubsup>\n      <mtext>\n       HPO\n      </mtext>\n      <mn>\n       4\n      </mn>\n      <mrow>\n       <mn>\n        2\n       </mn>\n       <mo>\n        -\n       </mo>\n      </mrow>\n     </msubsup>\n    </mfenced>\n    <mfenced close=\"]\" open=\"[\">\n     <mrow>\n      <msub>\n       <mtext>\n        H\n       </mtext>\n       <mn>\n        2\n       </mn>\n      </msub>\n      <msubsup>\n       <mtext>\n        PO\n       </mtext>\n       <mn>\n        4\n       </mn>\n       <mo>\n        -\n       </mo>\n      </msubsup>\n     </mrow>\n    </mfenced>\n   </mfrac>\n  </math>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    log\n   </mi>\n   <mfrac>\n    <mfenced close=\"]\" open=\"[\">\n     <msubsup>\n      <mtext>\n       HPO\n      </mtext>\n      <mn>\n       4\n      </mn>\n      <mrow>\n       <mn>\n        2\n       </mn>\n       <mo>\n        -\n       </mo>\n      </mrow>\n     </msubsup>\n    </mfenced>\n    <mfenced close=\"]\" open=\"[\">\n     <mrow>\n      <msub>\n       <mtext>\n        H\n       </mtext>\n       <mn>\n        2\n       </mn>\n      </msub>\n      <msubsup>\n       <mtext>\n        PO\n       </mtext>\n       <mn>\n        4\n       </mn>\n       <mo>\n        -\n       </mo>\n      </msubsup>\n     </mrow>\n    </mfenced>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n  </math>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    80\n   </mn>\n   <mo>\n    -\n   </mo>\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    20\n   </mn>\n   <mo>\n    =\n   </mo>\n  </math>\n  » 0.6 ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mfenced close=\"]\" open=\"[\">\n     <msubsup>\n      <mtext>\n       HPO\n      </mtext>\n      <mn>\n       4\n      </mn>\n      <mrow>\n       <mn>\n        2\n       </mn>\n       <mo>\n        -\n       </mo>\n      </mrow>\n     </msubsup>\n    </mfenced>\n    <mfenced close=\"]\" open=\"[\">\n     <mrow>\n      <msub>\n       <mtext>\n        H\n       </mtext>\n       <mn>\n        2\n       </mn>\n      </msub>\n      <msubsup>\n       <mtext>\n        PO\n       </mtext>\n       <mn>\n        4\n       </mn>\n       <mo>\n        -\n       </mo>\n      </msubsup>\n     </mrow>\n    </mfenced>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n  </math>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      6\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    =\n   </mo>\n  </math>\n  » 3.98 ✓\n </p>\n <p>\n  Na\n  <sub>\n   2\n  </sub>\n  PO\n  <sub>\n   4\n  </sub>\n  to Na\n  <sub>\n   2\n  </sub>\n  HPO\n  <sub>\n   4\n  </sub>\n  = 3.98:1 ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   change in pH:\n  </em>\n </p>\n <p>\n  no «significant» effect as ratio of salt/acid are unchanged ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   reaction to addition of bases/acids:\n  </em>\n </p>\n <p>\n  resistance to change/buffering capacity decreases ✓\n </p>\n</div>\n",
    "Examiners report": "None",
    "topics": [
      "reactivity-3-what-are-the-mechanisms-of-chemical-change"
    ],
    "subtopics": [
      "reactivity-3-1-proton-transfer-reactions"
    ]
  }
]