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<h2>HL Paper 2</h2><div class="specification">
<p>A compound with a molecular formula C<sub>7</sub>H<sub>14</sub>O produced the following high resolution&nbsp;<sup>1</sup>H NMR spectrum.</p>
<p style="text-align: center;"><img 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hEwrlp09uxZVVRUaNWqVYFRGZc5LS8v15gxYxwySoYRKwFCQqxkWS4CCCCAAAIIWEbAuKPw5cuXA/257777HHWS7sWLF1VWVqbTp0/r0qVLMsLB/v37m+2NKxdt2bIlsAeBcw+aWXgQQYCQEAGIlxFAAAEEEEDAngLGxnJJSYl27doVOP4+OArjMJvk5OTgU9v/vnDhgmbMmBG4GZoxLuOfcTLyvffeK+MOytwgzfYl7pYBEBK6hZ2VIoAAAggggECsBIzj73fs2KFFixbJ+BZ97ty5Mi71ec899wRWaexJcNKPEQr8fr+ThsRYLCBASLBAEegCAggggAACCERHIPTSnvn5+Zo5c6ajDi2KjhJLQSCyACEhshFzIIAAAggggIBNBN56663Atf85OdcmBaOblhXgEqiWLQ0dQwABBBBAAIFbETDOQcjKypKxB4Gr99yKHPMiEC5ASAg3YQoCCCCAAAII2FDAOEnZOAfBOMSIHwQQ6JwAIaFzfrRGAAEEEEAAAYsIGFcxMk5S7tWrl0V6RDcQsK8AIcG+taPnCCCAAAIIINAkYNwH4fjx43rooYcwQQCBKAgQEqKAyCIQQAABBBBAoHsFgjdKC17mNNibI0eOyPjHDwII3JoAVze6NS/mRgABBBBAAAEbCQTvPMyJzDYqGl21hAB7EixRBjqBAAIIIIAAAggggIB1BAgJ1qkFPUEAAQQQQAABBBBAwBIChARLlIFOIIAAAggggAACCCBgHQFCgnVqQU8QQAABBBBAAAEEELCEACHBEmWgEwgggAACCCCAAAIIWEeAkGCdWtATBBBAAAEEEEAAAQQsIUBIsEQZ6AQCCCCAAAIIIIAAAtYRICRYpxb0BAEEEEAAAQQQQAABSwgQEixRBjqBAAIIIIAAAggggIB1BAgJ1qkFPUEAAQQQQAABBBBAwBIChARLlIFOIIAAAggggAACCCBgHQFCgnVqQU8QQAABBBBAAAEEELCEACHBEmWgEwgggAACCCCAAAIIWEeAkGCdWtATBBBAAAEEEEAAAQQsIUBIsEQZ6AQCCCCAAAIIIIAAAtYRICRYpxb0BAEEEEAAAQQQQAABSwgQEixRBjqBAAIIIIAAAggggIB1BAgJ1qkFPUEAAQQQQAABBBBAwBIChARLlIFOIIAAAggggAACCCBgHQFCgnVqQU8QQAABBBBAAAEEELCEACHBEmWgEwgggAACCCCAAAIIWEeAkGCdWtATBBBAAAEEEEAAAQQsIUBIsEQZ6AQCCCCAAAIIIIAAAtYRICRYpxb0BAEEEEAAAQQQQAABSwgQEixRBjqBAAIIIIAAAggggIB1BAgJ1qkFPUEAAQQQQAABBBBAwBIChARLlIFOIIAAAggggAACCCBgHQFCgnVqQU8QQAABBBBAAAEEELCEACHBEmWgEwgggAACCCCAAAIIWEeAkGCdWtATBBBAAAEEEEAAAQQsIUBIsEQZ6AQCCCCAAAIIIIAAAtYRICRYpxb0BAEEEEAAAQQQQAABSwgQEixRBjqBAAIIIIAAAggggIB1BAgJ1qkFPUEAAQQQQAABBBBAwBIChARLlIFOIIAAAggggAACCCBgHQFCgnVqQU8QQAABBBBAAAEEELCEACHBEmWgEwgggAACCCCAAAIIWEeAkGCdWtATBBBAAAEEEEAAAQQsIUBIsEQZ6AQCCCCAAAIIIIAAAtYRICRYpxb0BAEEEEAAAQRMChw9ejTQsl+/fiaXQDMEEAgVICSEavAYAQQQQAABBGwnUFNTo61bt2r58uXq27ev7fpPhxGwogAhwYpVoU8IIIAAAgggoIsXL8rr9erEiRM6cuRIKxHjtcLCQuXk5Oi+++4LvPbCCy+0mocnCCBgXoCQYN6OlggggAACCCAQZYErV64ENv7T09N19913KyUlRQ899JD279/fak0XLlzQjBkzVFRUpC1btujw4cPsRWglxBMEOidwW+ea0xoBBBBAAAEEEIiOgLF3IDs7W9u3b9dTTz2lffv2aejQoYGFB/cWBNeUnJwsv98ffMpvBBCIsgAhIcqgLA4BBBBAAAEEzAmsX78+EBDKy8s1ZswYcwuhFQIIREWAw42iwshCEEAAAQQQQKAzAsbJx7m5uYG9BwSEzkjSFoHoCBASouPIUhBAAAEEEECgEwKXL18OtA4eXtSJRdEUAQSiIEBIiAIii0AAAQQQQAABBBBAwEkChAQnVZOxIIAAAggggAACCCAQBQFCQhQQWQQCCCCAAAIIIIAAAk4SICQ4qZqMBQEEEEAAAQQQQACBKAgQEqKAyCIQQAABBBBAoGsFjDsxG/dV4AcBBGIjQEiIjStLRQABBBBAAIEYChh3Yi4rK4vhGlg0Au4WICS4u/6MHgEEEEAAAQQQQACBMAFCQhgJExBAAAEEEEAAAQQQcLcAIcHd9Wf0CCCAAAIIIIAAAgiECRASwkiYgAACCCCAAAIIIICAuwUICe6uP6NHAAEEEEAAAQQQQCBMgJAQRsIEBBBAAAEEEEAAAQTcLUBIcHf9GT0CCCCAAAIIIIAAAmEChIQwEiYggAACCCCAAAIIIOBuAUKCu+vP6BFAAAEEEEAAAQQQCBMgJISRMAEBBBBAAAEEEEAAAXcLEBLcXX9GjwACCCCAAAIIIIBAmAAhIYyECQgggAACCCDQ1QKXL1/u6lWyPgQQuIkAIeEmOLyEAAIIIIAAAl0jcObMmcCK+vXr1zUrZC0IIHBTAULCTXl4EQEEEEAAAQS6UqBv375duTrWhQAC7QgQEtqBYTICCCCAAAIIIIAAAm4VICS4tfKMGwEEEEAAAQsJHD16VNOnT7dQj+gKAu4WICS4u/6MHgEEEEAAAUsIfPrpp0pOTrZEX+gEAghIhATeBQgggAACCCDQ7QLbt2/X0KFDu70fdAABBBoFCAm8ExBAAAEEEECgWwW8Xm9g/V/5yle6tR+sHAEEWgQICS0WPEIAAQQQQACBbhAwzkcwfh544IFuWDurRACBtgQICW2pMA0BBBBAAAEEukygsLBQy5cvF5c/7TJyVoRARIHbIs7BDAgggAACCCCAQIwEjICwf/9+lZeXx2gNLBYBBMwIEBLMqNEGAQQQQAABBDolcOXKFR08eFAzZswI7EUYM2ZMp5ZHYwQQiK4AISG6niwNAQQQQAABBNoQ2LVrl06dOhV4xbjcqXE1I+PHOMzo5ZdfbqMFkxBAoDsFCAndqc+6EUAAAQQQcKHAXXfdpfz8fD3yyCPcG8GF9WfI9hAgJNijTvQSAQQQQAABWwvMnTvX1v2n8wi4TYCrG7mt4owXAQQQQAABBBBAAIEIAoSECEC8jAACCCCAAAIIIICA2wQICW6rOONFAAEEEEAAAQQQQCCCACEhAhAvI4AAAggggAACCCDgNgFCgtsqzngRQAABBBBAAAEEEIggQEiIAMTLCCCAAAIIIIAAAgi4TYCQ4LaKM14EEEAAAQQQQAABBCIIEBIiAPEyAggggAACCCCAAAJuE+Bmam6rOONFAAEEEEAAAQSiIPDLX/5SiYmJUVgSi7CiACHBilWhTwgggAACCCCAgIUFLl68qOrq6sC/K1euqFevXhbuLV0zI8DhRmbUaIMAAggggAACCLhYYM+ePc2jP3jwYPNjHjhHgD0JzqklI0EAAQQQQAABBGIuUFNTo0WLFmnLli3685//rPXr12v8+PHq27dvzNfNCrpOgD0JXWfNmhBAAAEEEEAAAVsLGIcWLVy4UKNGjdKCBQu0ePHiwHiys7NlvMaPcwQICc6pJSNBAAEEEEDAVQJHjx6NOF5jnoKCgojzMUNkAWMPghEK9u/fr927dwfOQ0hKStLmzZu1ffv2wGsEhciOdpmDkGCXStFPBBBAAAEEEAgIGCfNGj8dOVnWOATm/PnzyHVSoKSkRBkZGfr973+vDz74QMnJyc1LHDNmjMrLywNBYdy4cTpy5EjzazywrwAhwb61o+cIIIAAAgi4UqCsrCww7i996UsRxx8f37ipw4ZrRKqwGYy9AoZbenq60tLS9OCDD6qwsFDDhg0Lm9cICh9//LE8Ho/Gjh2rFStWEBbClOw1Ic7v9/vt1WV6iwACCCCAAAJuFfB6vZozZ45uv/12Xb16NbDRahzy0taPsYFrbLAOHz5cPXr0uOm8bbV34zTD9+zZs6qoqNCqVasCBNOnT9fy5ctlBIGO/BhBwjiZ+fjx44FzF+bOnauHHnpI999/v9qrVUeWyzxdKxCVkLBr1y6dOnWqa3vO2hBAAAEEEEDAVQKffvpp4JCWp556SsaJsrNnzw5siBobsDf+tDev0fauu+66cXbXPzfCgXGuQfDHODHZ2Lg3QlZbew6C893stxHSDh8+rKKiokCdgvMaoSP0cKXgdH7HVsBw72jQM3pCSIhtPVg6AggggAACCERRYPLkyXr00UcD5yMY5yYY1+s3LsPZ1s8jjzyiqVOnBuY1Dp0xruffkZOd21qW06fdeeedGjJkiO69996YfONvnPT80Ucf6S9/+Qs16KY3U7eEhG4aK6tFAAEEEEAAAQQQQACBGAhw4nIMUFkkAggggAACCCCAAAJ2FiAk2Ll69B0BBBBAAAEEEEAAgRgIEBJigMoiEUAAAQQQQAABBBCwswAhwc7Vo+8IIIAAAggggAACCMRA4LZoLDMuLi4ai2EZCCCAAAIIIIAAAgggECOBW7k9GnsSYlQEFosAAggggAACCCCAgF0ForIn4VZSiV2h6DcCCCCAAAIIIIAAAm4RiM6ehIZj2jhhjLJLL9zgdk11lQXKnuCRcUhSXJxHE7J/qv2VdfLdMKe9ntbLW5rXMi5Plja+41WDvQYR+9766lSZn60JgdrHKW5CtvJtX/vOsPlUX7pSnqBHG7892aWq78wqHNLWV3dM+dlpIZ8bBaqsu+aQ0UVhGL7TyksLfq4an63Bf7OU570ahRU4bRHXdK5woTyelSqtt/dfn6hVpsGrdzZmNX8eebI26x0vnz6STw3eUuU1f/7EKY6/8e2/7drd/mu/iaNfuXG7Jy5N2Xn/btu/X50PCQ2nlL/mFf2y7IuwuvvO/btemrZbmlek2ut++a9XakP/cv3TtC0qs+0HtfHHZqXGr6nWw2+clrEXxV+To+G/XappG48RFJrfBZdUuelpTXvvYe02au/36/ruh/XetKe1qfJS81zuehCvPhNzVGu8Z1r9+1QVud+Rxm/SgdXj1cddKGGj9Z0r1NOPvqHrT77V6PR5qRZpt0bO2y0v23eNXg21qjo5VjuqrtzwXtqr+cm3h5m6fYLxt+iHC7epzu0QwfH7PlLhktnK+et0lX1+XX7/Zyqb/lflpMzWRtd+Pjfi+M4Vacn4JTrc/4eN2y3+L1RbNFons2ZoSeFHNv+CM/gGiNLvm2z/RWkNNlvMNZ0rWqdpO6V5FbW6bmz31P5Q/Q+/qGn/Vm7LLwA7ERKa9hI8V6oHZn1bCWGlvKrq4l8oL/W7WpA5WonGmuITNXrJi1qbeljFFRfDWthiQn25Xl9YqNTMuUpPbtqcix+g8fMy1HP5Ru3lW7zGMta/r72bzivziW9qQNO7LH7AN/VE5nlt2vu+Lf+zxOb96VND5c+0bLmUu/FJjUjoxH/J2HSwi5d6QWWv5+jgjCf0+JCm/18JQ5SxKlsrTv537Si7cW9lF3fPEqvzqb7ikAo0WAP797REjyzdiYZT2rnyX3UmZYSlu9l1nfOpvuwNLTw4RatXpSs58JnTR8npc5U55X2Xfz43bbdomrIWfL1xu0U9lTh6gVatfUB5C9+w8Rec0XyHRdr+i+a6bLQs3xkVv/EbpWY+qcwRiWrc7B2jJaueV2rBIVXY8Mtx01skPu9uzVt2Rmnrn9XI3j3aqGKDaqrOKHHYQPUPXUt8Pw0c9oUKiv9gyw1F3/mzOlHn0bCB/QJvgODA4/sP1LDEcr1ZfpZvGoIo7fyuO3FW5/lGuFGnoUI/WZarqhVL9f0Rd7Yj5qLJ9X9QcYGUmfb3rfeo9O4ZjScAABHVSURBVJmoDbUV2jCxn4sw2hvqNZ0/W6261MFKcn2obM8oOP2SKn/ygl667VmtnD0oONHlv5v2aNbmaGKf0D/OLmcJDP92Jc/fK397NnXVOnuewx4jb/+59L0U2MN7Z9vbhyqx5Zfjpj8h4j3/oJ0HVmtiYjvfZPku6OyJ2nbfKc7cUKzTyapaDjkyqt5nuGYt7a+Cn7+nc02BwFf3gQ4du0+5ORlKNv3Oa/ctZcMXrulcyS5tqsrQ1sVjW28U23A00ehyYwgfpJQ7zqk0L3g+S6qyNhbL20CybDRu+gKm/8cqfDK16XwEw6jQtse9RuO9E76Mpr10mwZq64+m6/62vssKb+TOKb46HXvtFb10ks+im74BpnxLYwdzOF/E7b+bIjr3xca/X+2Nr1Ynzl6w3ZfI5jfVEv5OiTf7FiuQqJx3BGjjHoPwN8HN3xzh8zt/yp0asXSj1tYsVFKPxpMqe3iyVJn5ipbyjXlj+QO7JgulzAxNHtBO2Hb+GyVkhD411FTrpM6oYNm/6NDAxXo3cO7GEb3Yd6++vaSoOXCGNHLfw8AXMJeUMuAbyvrZyaZzEo5o1aAKLZu9TZWEqcb3RGAv3Xv6zoG1yuD/Vzv/T67KmzdLcT08enjp+3ps+ff09fa++GtnCW6Y7Dv3H9rw0p80/5lJGmx+q8k5VJG2/5wz0lsYSfDv1y00scGsvN1vtUh9xmrx1kdUsGabSpuutuKrO6LXNhTq2jcSb3Vpzp3fuOLBpDk6/N0SfR48SffzEn338D/pybxT7G2R5Kv+T71ZMlxLZw1nL0Kr/wm16pn5itZOHNB0SF8fDXn8Cc04mKPXOSdBih+i+cXV+m3OY03HTBt4fZQ8ebJGV+Vq5V6v7b6talX+aDwJnJj7A/36Oy/qWb6UuIlo0+E1gRMsN2nAr2ZqxNOFhPFQscA5LTk6M2+T1qbf3+ow49DZeIyAEwViFxISPEpJdeJGc08NyMhR2co+yh/xN4HLuk76tzP65o/WKTPhb5Wa4mnjJG4nvnVuNiaf6o8VaVPVFGU9/tUWj4Sv6vGsr+udl/bomA1P4LnZiG/9tauqLv+NSqZk6L8+xLkIrf3Cz/lR4PPkki1317YeWwyfBYzEIY8yrjCSq4VnntDGZ0e2fP7EkN4Ji45PnKQXVs+T8n6h4mouoxuoacMp5T33Pb2kRfrxykkhodwJFWcM0RWIV0LSYKVGd6HdvrTYhYTACcqedgcYdkJzu3Na8YU+Sn7seeXXGpeyrNVvN2RqRO9PVHUy/IQVK/Y+9n26qIrikjYuN9j0n6jOnifwRNXNd1blb5aHn9gf1ZXYbWHx6jNysjKd+N2C3Uph5/42HcZXV7Y0cFGNxntI9FLKgrekulc06Y4kpeWdZm9LuzU+o6oa7vpjHCGwORAQlql0W6aG3Ozw6nYtecFNAu0djt5o0MaXXzbAiV1IUIKSUgYp7ATlpuNpbfuNe+AmRuE3jguck6ApShvZ1wZlj3UX+2pk2hSFb+s1HbOXiFPjoUae8Kv4xLo0Vl9+wlf08NQ2rn4WOMdpiB57sL/rd/f7vHlKixsZfvPKgBHvqcbDsWpvuH/EFVXtmCklvqh3P6tR8fwhLn4fNZ2H0N6N5Vz/+XxNdaUva5Jnpn7V/2WVERCs/lfDOv1rZ4938wU5ksJvFmCdzrfdkxiGhNs1OO0fNf/kZq3b2XQMevMVFGYp+/Fke35Ixw/U2O8O0Kutzkk4poIdv1HS1mc0nkvKGTfEUJ/Rs7X2sWoVv13WclWahg/1dn6JUpama7SrnYInOA1Sig0/NNr+KInS1Pj7NOUH85Xy6ib9j+BNnYzPjR352jd1vr7HoVmKT85QTm5/FeT/WqebT1Ku1+m3f659U1dq8XguExuld6NDF3O7kmctU25KifLf/rD5/DBf3btav6ZEj62d7eLPZ+OKWNs0e9K/qGr+Vu1+JaPpPhIOfSswrOgKxA9S2jPf0smXcrXzdOPdywPnrK7brJMrntXjNrzRZQxDghQ/YLKydz+v/gVT1DsuLnAFhfQTqdp6YJGNN6ZvV/K811Qx77LWeIxzEuLUY/Y+adZr+mkGJzU1/49LGKr529YqTcV6pnePxss0Jufq4pw9OrBsNMcJN0PxoLVAvBJGLNGBqkXS6482vm96TNG267P1H6+lN9+Yr3Ubtz0zrhz2Ux2Y/le9ktz0fytupn6mJzBy21vB7HgTRmvpnjc0/WKuko2/zYG/Y4c0ePUebZs/1L2fzz6v9q7MVZmkurwZzVfmazxkzXBqYw+e2RrQzoECPTVgymLtXttPBQ/c0fj/yvOsTqS+rAP/bM/LnMf5/X6/AyvFkBBAAAEEEEAAAQQQQMCkQEz3JJjsE80QQAABBBBAAAEEEECgGwUICd2Iz6oRQAABBBBAAAEEELCiACHBilWhTwgggAACCCCAAAIIdKMAIaEb8Vk1AggggAACCCCAAAJWFCAkWLEq9AkBBBBAAAEEEEAAgW4UICR0Iz6rRgABBBBAAAEEEEDAigKEBCtWhT4hgAACCCCAAAIIINCNAoSEbsRn1QgggAACCCCAAAIIWFGAkGDFqtAnBBBoR6Be3tI3tTErtfFuzMbdYj1Z2vh2mbwNvuY2Pm+e0rr17qhX5c2bpTjPSpXWt/SruYNmH/hOKy9tsNLyTsvsUjtkE1iPR57sUtUH+upTg7dQ2RM8je5pefLWe/XOxnXK916NPJrA8p5QXkfmjbw05kAAAQQQ6AIBQkIXILMKBBCIgkDDaRVmz1TKmvd1z+ISXff75fdf1+dls6UDi5Qy7TVVhgSFKKyxE4u4Xcnz98pfm6OJfWz4MRs/RPOLa1W7YaL6GAo+r/YuWqiCQVtVc90vf/E89a/Yqazlv9f1jig11KrqS5M0dvDtHZmbeRBAAAEELCBwmwX6QBcQQACBCAKXVPmTZZpR8F+07/gaZQzo2TR/vBKS07Rs213StHRNW/OgTm+YqIQIS+NlkwL97lTvW848PtVXlOmPGbM1+JbbmuwnzRBAAAEEOi3AR3anCVkAAgjEXKD+fe3d9L6mrF2o9OaAELLWhGF6YuN2bU1LUsuH2hc6//6vQg5NSlXWxuJWhyVJ11RXWdByGE1cmrLzSkPmuaDS7JGKS1uvwuLNyvLENR5uMyFb+ZXnVO8tblm+J0ubj9U1HQbU1uFGN6zLOEzqHa8aQobhq6tU4cYseYzDqAL/buxPyMztPWzwqjQvWxNuuowINiGHG31qHLrV4wEtKKlT3auTdEfc1/TEvBkaMukV1ektLUjpFXJYUluduqiK4v+jjLEDQ2oTMl99qbI9HqX99B0d3Rwcu0cTsgtUWXetacZgHbap9Oi2G+oQNPepvnSlPHH/TRsLC1vqYtQ0/5jqAodHBZefqqzNR1Rn9pitkO7zEAEEEHCqQMvfU6eOkHEhgIDNBYxvog+poM6jYQP7tb2hqZ5KHPFtZUxMDtmLcEq7fl2tQauOyO/363rtJg349XN65icVTRvm13SucKlGTDuk/hsqGw9f+vxflXJ4icYvKdK50A3Ikte1pfR+rfJel/96jd79+gnNG5mkIeuq9c31lfL7P9Of1t6m3PR1KjoX3LANZW9a18jd0qJSfW4cJlU6USezZmhJ4UeNwaLhmDbNfkb7e3xflcYhPYE+L1OPgu+H9Dl0mW09Nva4LNWcw1/Vjz+/3moZi/Z6Q85jiGTTsuweyfNVfP1P2jElUYkr3tVn/j/q5zv36fS7LypRM7Wj6krLYUktzVoe1f9BxX8cHeFQozqVfH+pfqymsX9eqkXarZGzt7U+hKxkoeb8WHqu8ouAedWiHto58mltqrzUsj4VafmWiqa6f6Had7+hY/MelmfIOp365nrVGPZ/WiblPquXiprsQ1rzEAEEEECgUYCQwDsBAQQsLnBN589Wq06DlJJ0KwcSjdCK1UuVkRw4ql7xiY9qXuZwlb1zSrVGAKgv1+sLC5W69kUtGZ3YGD4Shmr+lteUeTBHr5ddaHFJnKfVq9KVnBAvxSdq5OQRgQ3ktasWaHSicehTHyWPHaPUuqP6XVXjqb4tjY1j+s+o+I1CaUW2VmUMUYLilTDkO8rK/BvlvfGuqn0+1R8r0qaqKcpa8HUlNn0yh/W51ULbeOI7r9+/c1qp4x5u7KuM7j6mnN9Wq3j+kJCAFcGmjUWbm9QY8PZ9baD6R/hrkzj/ZeUsGdM49oQhyliVrRVVP9feYxdbVp34nLbmPN1inrFUq1ec16a97zedYG3MGjq2nkoc+ahGJyZqSnOdjUPUHta41E908Hf/u9WenJYV8QgBBBBAIMLHNkAIIICAwwROVqum4f+1v3ciwaOU1FoVFP8hZMOzcwa+6v/UmyVSaoonZE9HP03cUCF/8Xwlx8erz8Qc1dau1ejz76mwsFCFhW8rL3u6Uha81fGVx/fXg48NUclLP1PRsVIVlrY+nCniggI2obtQIraIMIMR8C5qRtrfN54A3e7ciUod89XmcBSYra06pA7X0EAoCy4oQUkpg1RXcEgV0byKVHDx/EYAAQRcLEBIcHHxGToC9hDoqf4DBytRZ1RVE3oEfzR6X6lXJ93TcjlV4zj+puPvWy09dbCSjL0IsfxpOKW8rAfVO2W2tvzuE2MfgO5Me1UVO2ZKHd54v1Mjlu1R1e6HdWnfBs2YlKLeccbx/Xkq9baxhyOW4zGW7Tur8sK/U9rIvqbXVHfirM5Hyi111Tp7PniY163ucTLdNRoigAACjhaI8V89R9sxOAQQ6BKBePUZOVmZibU6cfZCyHH1N6zcV6fK/a3vl3DDHG08bTym3jj+/8Z/zZf/bKNV9CddlXfvj7TgnXHaV3NWv93wtDIyMpQxcYA+qzpzi6vro+SJGZq/oVh+/xeqrdiq75zfrEnj10f3ng0d6JWxB6Xwa+M1shOXgU0cFvlQJSUO1sD+wStedaBjzIIAAgggEFGAkBCRiBkQQKDbBfoM16ylw1Xy0ta2Tww2voV/coqm/eqivvy3HflYCwaPP+nIqb+0Dh4Nx7RxQuduWHajV/zgb+i7U6STVbUhx8A3XQEpbpbyvH9VjREGbjycxvd/denCFzcu7haeGyd0p+v7WdOU2Orb9ltYhOlZr6q6/Ji+FvFQI2MFdTfYSDLurXDSo8zQ9mF7VBoCbomZkzsVREwPkYYIIICAgwU68tfUwcNnaAggYA+BOzXi2fXa8dhhzZizWvmVLZe9bDAuQ/rc97Tgz49r99p/0ICOfqr1GavFW8fp4MIf6rXgpUuNG7atWa3lek45s5JDTvTtpFL8IE3NfkYpr27Q+tJzgVDiq/uf2lnwvsbnLtOs5AEamTZFiSVvamdZ4+vy1enYaz/UwrxTHV950x2ZJ2QXtlzGtcGrQ8WV0vx/VFrUbmYWr4SkwUoN9Mynyw2XWwetwHRjA14dPtm87tUNWld4ujFEGaFv0RIVTF2pxeP7tYy/bqfWrCtqGlu9Tudla07BI9q6eGyEcx5aFsEjBBBAAIGOCXT0z2nHlsZcCCCAQKwEjCsP/axEFf88WB8uG6EegfsA9FDv8XukaVtUdWC1JrY6qTVSR3pqQEaOynaP0/nspuX1nqn99zyjij3PaURUz0HoqcSJL2pPxRxdXzMq0Pceno26Pm+P9iwdHbjaUZ/xi3Rg5zD9r0lJjWNLekHv3Zelon0rlBhpKMHX44do3s43teie/Rrfu0fjuRZNYzpwKwEquLyb/I4fnKbsFz/TgpQv68szfqHqG88b6NClT4MrSNT4FY9r1JlXlGzUtff3dDh1o8peS28d+sZnKnPUGa1LNsZ2hyYeHqr8spyQm+sFl8dvBBBAAIHOCsT5jQNx+UEAAQQQQKA7BIybqQ2ZoxNrS3Ww1WVaQztj3EztW5p04geqOmhcDSr0NR4jgAACCMRCgI/aWKiyTAQQQAABBBBAAAEEbCxASLBx8eg6AggggAACCCCAAAKxEOBwo1ioskwEEEAAAQQQQAABBGwswJ4EGxePriOAAAIIIIAAAgggEAsBQkIsVFkmAggggAACCCCAAAI2FiAk2Lh4dB0BBBBAAAEEEEAAgVgI/H+Vf1aXdT8qOAAAAABJRU5ErkJggg=="></p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce what information can be obtained from the <sup>1</sup>H NMR spectrum.</p>
<p><img 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"></p>
<div class="marks">[3]</div>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Identify the functional group that shows stretching at 1710 cm<sup>–1</sup> in the infrared spectrum of this compound using section 26 of the data booklet and the <sup>1</sup>H NMR.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest the structural formula of this compound.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Bromine was added to hexane, hex-1-ene and benzene. Identify the compound(s) which will react with bromine in a well-lit laboratory.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the structural formula of the main organic product when hex-1-ene reacts with hydrogen bromide.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the reagents and the name of the mechanism for the nitration of benzene.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline, in terms of the bonding present, why the reaction conditions of halogenation are different for alkanes and benzene.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Below are two isomers, A and B, with the molecular formula C<sub>4</sub>H<sub>9</sub>Br.</p>
<p><img src="data:image/png;base64,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"></p>
<p>Explain the mechanism of the nucleophilic substitution reaction with NaOH(aq) for the isomer that reacts almost exclusively by an S<sub>N</sub>2 mechanism using curly arrows to represent the movement of electron pairs.</p>
<div class="marks">[3]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><em>Number of hydrogen environments:</em> 3</p>
<p><em>Ratio of hydrogen environments:</em> 2:3:9</p>
<p><em>Splitting patterns:</em> «all» singlets</p>
<p> </p>
<p><em>Accept any equivalent ratios such as 9:3:2.</em></p>
<p><em>Accept “no splitting”.</em></p>
<p><strong><em>[3 marks]</em></strong></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>carbonyl<br><em><strong>OR</strong></em><br>C=O</p>
<p> </p>
<p><em>Accept “ketone” but not “aldehyde”.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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"></p>
<p><em>Accept (CH<sub>3</sub>)<sub>3</sub>CCH<sub>2</sub>COCH<sub>3</sub>.</em></p>
<p><em>Award <strong>[1]</strong> for any aldehyde or ketone with C<sub>7</sub>H<sub>14</sub>O structural formula.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>hexane <em><strong>AND</strong> </em>hex-1-ene</p>
<p> </p>
<p><em>Accept “benzene <strong>AND</strong> hexane <strong>AND</strong> hex-1-ene”.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>CH<sub>3</sub>CH<sub>2</sub>CH<sub>2</sub>CH<sub>2</sub>CHBrCH<sub>3</sub></p>
<p> </p>
<p><em>Accept displayed formula but <strong>not</strong> molecular formula.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Reagents:</em> «concentrated» sulfuric acid <em><strong>AND</strong></em> «concentrated» nitric acid</p>
<p><em>Name of mechanism:</em> electrophilic substitution</p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>benzene has «delocalized» <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\pi ">
  <mi>π</mi>
</math></span> bonds «that are susceptible to electrophile attack» <em><strong>AND</strong></em> alkanes do not</p>
<p> </p>
<p><em>Do <strong>not</strong> accept “benzene has single and double bonds”.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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"></p>
<p>curly arrow going from lone pair/negative charge on O in <sup>–</sup>OH to C</p>
<p>curly arrow showing Br leaving</p>
<p>representation of transition state showing negative charge, square brackets and partial bonds</p>
<p> </p>
<p> </p>
<p><em>Accept OH<sup>–</sup> with or without the lone pair.</em></p>
<p><em>Do not allow curly arrows originating on H in OH<sup>–</sup>.</em></p>
<p><em>Accept curly arrows in the transition state.</em></p>
<p><em>Do not penalize if HO and Br are not at 180°.</em></p>
<p><em>Do not award M3 if OH–C bond is represented.</em></p>
<p><em>Award <strong>[2 max]</strong> if wrong isomer is used.</em></p>
<p><strong><em>[3 marks]</em></strong></p>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p>Chlorine undergoes many reactions.</p>
</div>

<div class="specification">
<p><span class="fontstyle0"><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>2</mn><mo>.</mo><mn>67</mn><mo> </mo><mi mathvariant="normal">g</mi></math> of manganese(IV) oxide was added to </span><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>200</mn><mo>.</mo><mn>0</mn><mo> </mo><msup><mi>cm</mi><mn>3</mn></msup></math> <span class="fontstyle0">of </span><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mn>2</mn><mo>.</mo><mn>00</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>&nbsp;</mo><mi>HCl</mi></math>.</p>
<p style="text-align: center;"><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><msub><mi>MnO</mi><mn>2</mn></msub><mo> </mo><mo>(</mo><mi mathvariant="normal">s</mi><mo>)</mo><mo>+</mo><mn>4</mn><mi>HCl</mi><mo> </mo><mo>(</mo><mi>aq</mi><mo>)</mo><mo>→</mo><msub><mi>Cl</mi><mn>2</mn></msub><mo> </mo><mo>(</mo><mi mathvariant="normal">g</mi><mo>)</mo><mo>+</mo><mn>2</mn><msub><mi mathvariant="normal">H</mi><mn>2</mn></msub><mi mathvariant="normal">O</mi><mo> </mo><mo>(</mo><mi mathvariant="normal">l</mi><mo>)</mo><mo>+</mo><msub><mi>MnCl</mi><mn>2</mn></msub><mo> </mo><mo>(</mo><mi>aq</mi><mo>)</mo></math></p>
</div>

<div class="specification">
<p>Chlorine gas reacts with water to produce hypochlorous acid and hydrochloric acid.</p>
<p style="text-align: center;"><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><msub><mi>Cl</mi><mn>2</mn></msub><mo> </mo><mo>(</mo><mi mathvariant="normal">g</mi><mo>)</mo><mo>+</mo><msub><mi mathvariant="normal">H</mi><mn>2</mn></msub><mi mathvariant="normal">O</mi><mo> </mo><mo>(</mo><mi mathvariant="normal">l</mi><mo>)</mo><mo>⇌</mo><mi>HClO</mi><mo> </mo><mo>(</mo><mi>aq</mi><mo>)</mo><mo>+</mo><mi>HCl</mi><mo> </mo><mo>(</mo><mi>aq</mi><mo>)</mo></math></p>
</div>

<div class="specification">
<p><span class="fontstyle0"><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>CCl</mi><mn>2</mn></msub><msub><mi mathvariant="normal">F</mi><mn>2</mn></msub></math>&nbsp;</span><span class="fontstyle0">is a common chlorofluorocarbon, <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi>CFC</mi></math>.</span></p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">State the full electron configuration of the chlorine atom.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">State, giving a reason, whether the chlorine atom or the chloride ion has a larger radius</span>.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Outline why the chlorine atom has a smaller atomic radius than the sulfur atom</span>.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">The mass spectrum of chlorine is shown.</span></p>
<p><span class="fontstyle0"><img style="display: block;margin-left:auto;margin-right:auto;" src="data:image/png;base64,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"></span></p>
<p style="text-align: center;"><span class="fontstyle0"><em> NIST Mass Spectrometry Data Center Collection © 2014 copyright by the U.S. Secretary of Commerce on behalf of </em><em>the United States of America. All rights reserved.</em><br> </span></p>
<p><span class="fontstyle0"> <br>Outline the reason for the two peaks at <math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>/</mo><mi>z</mi><mo>=</mo><mn>35</mn></math> and <math xmlns="http://www.w3.org/1998/Math/MathML"><mn>37</mn></math>.<br> </span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a(iv).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Explain the presence and relative abundance of the peak at </span><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>m</mi><mo>/</mo><mi>z</mi><mo>=</mo><mn>74</mn></math><span class="fontstyle0">.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">a(v).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Calculate the amount, in <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi>mol</mi></math>, of manganese(IV) oxide added.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Determine the limiting reactant, showing your calculations.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Determine the excess amount, in <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi>mol</mi></math>, of the other reactant.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Calculate the volume of chlorine, in </span><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msup><mi>dm</mi><mn>3</mn></msup></math><span class="fontstyle0">, produced if the reaction is conducted at standard temperature and pressure (STP). Use section 2 of the data booklet.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b(iv).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">State the oxidation state of manganese in <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>MnO</mi><mn>2</mn></msub></math></span><span class="fontstyle0"> </span><span class="fontstyle0">and </span><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>MnCl</mi><mn>2</mn></msub></math><span class="fontstyle0">.</span></p>
<p><img src="data:image/png;base64,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" width="699" height="180"></p>
<div class="marks">[2]</div>
<div class="question_part_label">b(v).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Deduce, referring to oxidation states, whether </span><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>MnO</mi><mn>2</mn></msub></math> <span class="fontstyle0">is an oxidizing or reducing agent.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b(vi).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Hypochlorous acid is considered a weak acid. Outline what is meant by the term weak acid.</span></p>
<p> </p>
<div class="marks">[1]</div>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">State the formula of the conjugate base of hypochlorous acid.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Calculate the concentration of </span><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><msup><mi mathvariant="normal">H</mi><mo>+</mo></msup><mo> </mo><mo>(</mo><mi>aq</mi><mo>)</mo></math><span class="fontstyle0"> in a </span><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mi>HClO</mi><mo> </mo><mfenced><mi>aq</mi></mfenced></math><span class="fontstyle0"> solution with a </span><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi>pH</mi><mo>=</mo><mn>3</mn><mo>.</mo><mn>61</mn></math>.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">State the type of reaction occurring when ethane reacts with chlorine to produce chloroethane.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Predict, giving a reason, whether ethane or chloroethane is more reactive.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Explain the mechanism of the reaction between chloroethane and aqueous sodium hydroxide, <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>, using curly arrows to represent the movement of electron pairs.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Ethoxyethane (diethyl ether) can be used as a solvent for this conversion.<br>Draw the structural formula of ethoxyethane</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">d(iv).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Deduce the number of signals and chemical shifts with splitting patterns in the <sup>1</sup>H NMR</span><span class="fontstyle0"> spectrum of ethoxyethane. Use section 27 of the data booklet.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">d(v).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Calculate the percentage by mass of chlorine in </span><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>CCl</mi><mn>2</mn></msub><msub><mi mathvariant="normal">F</mi><mn>2</mn></msub></math><span class="fontstyle0">.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Comment on how international cooperation has contributed to the lowering of <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi>CFC</mi></math> emissions responsible for ozone depletion.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0"><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi>CFC</mi></math>s produce chlorine radicals. Write two successive propagation steps to show how chlorine radicals catalyse the depletion of ozone.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">e(iii).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mn>1</mn><msup><mi mathvariant="normal">s</mi><mn>2</mn></msup><mn>2</mn><msup><mi mathvariant="normal">s</mi><mn>2</mn></msup><mn>2</mn><msup><mi mathvariant="normal">p</mi><mn>6</mn></msup><mn>3</mn><msup><mi mathvariant="normal">s</mi><mn>2</mn></msup><mn>3</mn><msup><mi mathvariant="normal">p</mi><mn>5</mn></msup></math> ✔</p>
<p><em><br>Do <strong>not</strong> accept condensed electron configuration.</em></p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msup><mi>Cl</mi><mo>-</mo></msup></math> <em><strong>AND</strong> </em>more «electron–electron» repulsion ✔</p>
<p><em><br>Accept <math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mi>C</mi><msup><mi>l</mi><mo mathvariant="italic">-</mo></msup></math> <strong>AND</strong> has an extra electron.</em></p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi>Cl</mi></math> has a greater nuclear charge/number of protons/<math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi mathvariant="normal">Z</mi><mi>eff</mi></msub></math> «causing a stronger pull on the outer electrons» ✔</p>
<p>same number of shells<br><strong><em>OR</em></strong><br>same «outer» energy level<br><em><strong>OR</strong></em><br>similar shielding ✔</p>
<div class="question_part_label">a(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«two major» isotopes «of atomic mass <math xmlns="http://www.w3.org/1998/Math/MathML"><mn>35</mn></math> and <math xmlns="http://www.w3.org/1998/Math/MathML"><mn>37</mn></math>» ✔</p>
<div class="question_part_label">a(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«diatomic» molecule composed of «two» chlorine-37 atoms ✔</p>
<p>chlorine-37 is the least abundant «isotope»<br><em><strong>OR</strong></em><br>low probability of two <math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mmultiscripts><mi>Cl</mi><mprescripts></mprescripts><mmultiscripts><mrow></mrow><mprescripts></mprescripts><mn>37</mn></mmultiscripts></mmultiscripts></math> «isotopes» occurring in a molecule ✔</p>
<div class="question_part_label">a(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>«</mo><mfrac><mrow><mn>2</mn><mo>.</mo><mn>67</mn><mo> </mo><mi mathvariant="normal">g</mi></mrow><mrow><mn>86</mn><mo>.</mo><mn>94</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><mn>0</mn><mo>.</mo><mn>0307</mn><mo> </mo><mo>«</mo><mi>mol</mi><mo>»</mo></math> ✔</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>«</mo><msub><mi mathvariant="normal">n</mi><mi>HCl</mi></msub><mo>=</mo><mn>2</mn><mo>.</mo><mn>00</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>2000</mn><mo> </mo><msup><mi>dm</mi><mn>3</mn></msup><mo>»</mo><mo>=</mo><mn>0</mn><mo>.</mo><mn>400</mn><mo> </mo><mi>mol</mi><mo> </mo></math>✔</p>
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>«</mo><mfrac><mrow><mn>0</mn><mo>.</mo><mn>400</mn></mrow><mn>4</mn></mfrac><mo>=</mo><mo>»</mo><mo> </mo><mn>0</mn><mo>.</mo><mn>100</mn><mo> </mo><mi>mol</mi></math> <em><strong>AND</strong></em> <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>MnO</mi><mn>2</mn></msub></math> is the limiting reactant ✔</p>
<p><em><br>Accept other valid methods of determining the limiting reactant in M2.</em></p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>«</mo><mn>0</mn><mo>.</mo><mn>0307</mn><mo> </mo><mi>mol</mi><mo>×</mo><mn>4</mn><mo>=</mo><mn>0</mn><mo>.</mo><mn>123</mn><mo> </mo><mi>mol</mi><mo>»</mo></math></p>
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>«</mo><mn>0</mn><mo>.</mo><mn>400</mn><mo> </mo><mi>mol</mi><mo>–</mo><mn>0</mn><mo>.</mo><mn>123</mn><mo> </mo><mi>mol</mi><mo>=</mo><mo>»</mo><mn>0</mn><mo>.</mo><mn>277</mn><mo> </mo><mo>«</mo><mi>mol</mi><mo>»</mo></math> ✔</p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>«</mo><mn>0</mn><mo>.</mo><mn>0307</mn><mo> </mo><mi>mol</mi><mo>×</mo><mn>22</mn><mo>.</mo><mn>7</mn><mo> </mo><msup><mi>dm</mi><mn>3</mn></msup><mo> </mo><msup><mi>mol</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>=</mo><mo>»</mo><mo> </mo><mn>0</mn><mo>.</mo><mn>697</mn><mo> </mo><mo>«</mo><msup><mi>dm</mi><mn>3</mn></msup><mo>»</mo></math> ✔</p>
<p><em><br>Accept methods employing <math xmlns="http://www.w3.org/1998/Math/MathML"><mi>p</mi><mi>V</mi><mo>=</mo><mi>n</mi><mi>R</mi><mi>T</mi></math></em>.</p>
<div class="question_part_label">b(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>MnO</mi><mn>2</mn></msub><mo>:</mo><mo> </mo><mo>+</mo><mn>4</mn></math> ✔</p>
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>MnCl</mi><mn>2</mn></msub><mo>:</mo><mo> </mo><mo>+</mo><mn>2</mn></math> ✔</p>
<div class="question_part_label">b(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>oxidizing agent <em><strong>AND</strong></em> oxidation state of <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi>Mn</mi></math> changes from <math xmlns="http://www.w3.org/1998/Math/MathML"><mo>+</mo><mn>4</mn></math> to <math xmlns="http://www.w3.org/1998/Math/MathML"><mo>+</mo><mn>2</mn></math>/decreases ✔</p>
<div class="question_part_label">b(vi).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>partially dissociates/ionizes «in water» ✔</p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msup><mi>ClO</mi><mo>-</mo></msup></math> ✔</p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>«</mo><mo>[</mo><msup><mi mathvariant="normal">H</mi><mo>+</mo></msup><mo>]</mo><mo>=</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>3</mn><mo>.</mo><mn>61</mn></mrow></msup><mo>=</mo><mo>»</mo><mo> </mo><mn>2</mn><mo>.</mo><mn>5</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>4</mn></mrow></msup><mo> </mo><mo>«</mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>−</mo><mn>3</mn></mrow></msup><mo>»</mo></math> ✔</p>
<div class="question_part_label">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«free radical» substitution/<math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi mathvariant="normal">S</mi><mi mathvariant="normal">R</mi></msub></math> ✔</p>
<p><em><br>Do not accept electrophilic or nucleophilic substitution.</em></p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>chloroethane <em><strong>AND</strong></em> C–Cl bond is weaker/<math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>324</mn><mo> </mo><mi>kJ</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup></math> than C–H bond/<math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mn>414</mn><mo> </mo><mi>kJ</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup></math><br><em><strong>OR</strong></em><br>chloroethane <strong><em>AND</em> </strong>contains a polar bond ✔</p>
<p><em><br>Accept “chloroethane <strong>AND</strong> polar”.</em></p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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" width="529" height="155"></p>
<p>curly arrow going from lone pair/negative charge on <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi mathvariant="normal">O</mi></math> in <sup>−</sup>OH to <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi mathvariant="normal">C</mi></math> ✔</p>
<p>curly arrow showing <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi>Cl</mi></math> leaving ✔</p>
<p>representation of transition state showing negative charge, square brackets and partial bonds ✔</p>
<p> </p>
<p><em>Accept <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi>O</mi><msup><mi>H</mi><mo mathvariant="italic">-</mo></msup></math> with or without the lone pair.</em></p>
<p><em>Do <strong>not</strong> accept curly arrows originating on <math xmlns="http://www.w3.org/1998/Math/MathML"><mi>H</mi></math> in <math xmlns="http://www.w3.org/1998/Math/MathML"><mi>O</mi><msup><mi>H</mi><mo>-</mo></msup></math>.</em></p>
<p><em>Accept curly arrows in the transition state.</em></p>
<p><em>Do <strong>not</strong> penalize if <math xmlns="http://www.w3.org/1998/Math/MathML"><mi>H</mi><mi>O</mi></math> and <math xmlns="http://www.w3.org/1998/Math/MathML"><mi>C</mi><mi>l</mi></math> are not at 180°.</em></p>
<p><em>Do <strong>not</strong> award M3 if <math xmlns="http://www.w3.org/1998/Math/MathML"><mi>O</mi><mi>H</mi><mo>-</mo><mi>C</mi></math> bond is represented.</em> </p>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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"> / <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>CH</mi><mn>3</mn></msub><msub><mi>CH</mi><mn>2</mn></msub><msub><mi>OCH</mi><mn>2</mn></msub><msub><mi>CH</mi><mn>3</mn></msub></math> ✔</p>
<p><em><br>Accept <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo mathvariant="italic">(</mo><mi>C</mi><msub><mi>H</mi><mn mathvariant="italic">3</mn></msub><mi>C</mi><msub><mi>H</mi><mn mathvariant="italic">2</mn></msub><msub><mo mathvariant="italic">)</mo><mn mathvariant="italic">2</mn></msub><mi>O</mi></math>.</em></p>
<div class="question_part_label">d(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>2 «signals» ✔</p>
<p>0.9−1.0 <em><strong>AND</strong> </em>triplet ✔</p>
<p>3.3−3.7<em><strong> AND</strong></em> quartet ✔</p>
<p><em>Accept any values in the ranges.</em></p>
<p><em>Award <strong>[1]</strong> for two correct chemical shifts or two correct splitting patterns.</em></p>
<div class="question_part_label">d(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>«</mo><mi>M</mi><mo>(</mo><msub><mi>CCl</mi><mn>2</mn></msub><msub><mi mathvariant="normal">F</mi><mn>2</mn></msub><mo>)</mo><mo> </mo><mo>=</mo><mo>»</mo><mo> </mo><mn>120</mn><mo>.</mo><mn>91</mn><mo> </mo><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></math> ✔</p>
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mrow><mn>2</mn><mo>×</mo><mn>35</mn><mo>.</mo><mn>45</mn><mo> </mo><mi mathvariant="normal">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow><mrow><mn>120</mn><mo>.</mo><mn>91</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><mn>100</mn><mo>%</mo><mo>=</mo><mo>»</mo><mo> </mo><mn>58</mn><mo>.</mo><mn>64</mn><mo> </mo><mo>«</mo><mo>%</mo><mo>»</mo></math> ✔</p>
<p><em><br>Award <strong>[2]</strong> for correct final answer.</em></p>
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any of:</em></p>
<p>research «collaboration» for alternative technologies «to replace <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi>CFC</mi></math>s»<br><em><strong>OR</strong></em><br>technologies «developed»/data could be shared<br><em><strong>OR</strong></em><br>political pressure/Montreal Protocol/governments passing legislations ✔</p>
<p> </p>
<p><em>Do <strong>not</strong> accept just “collaboration”.</em></p>
<p><em>Do <strong>not</strong> accept any reference to <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi>C</mi><mi>F</mi><mi>C</mi></math> as greenhouse gas or product of fossil fuel combustion.</em></p>
<p><em>Accept reference to specific measures, such as agreement on banning use/manufacture of <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi>C</mi><mi>F</mi><mi>C</mi></math>s.</em></p>
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><msub><mi mathvariant="normal">O</mi><mn>3</mn></msub><mo>+</mo><mi>Cl</mi><mo>·</mo><mo>→</mo><mi mathvariant="normal">O</mi><mn>2</mn><mo>+</mo><mi>ClO</mi><mo>·</mo></math> ✔</p>
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi>ClO</mi><mo>·</mo><mo>+</mo><mi mathvariant="normal">O</mi><mo>·</mo><mo>→</mo><msub><mi mathvariant="normal">O</mi><mn>2</mn></msub><mo>+</mo><mi>Cl</mi><mo>·</mo></math><br><em><strong>OR</strong></em><br><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi>ClO</mi><mo>·</mo><mo>+</mo><msub><mi mathvariant="normal">O</mi><mn>3</mn></msub><mo>→</mo><mi>Cl</mi><mo>·</mo><mo>+</mo><mn>2</mn><msub><mi mathvariant="normal">O</mi><mn>2</mn></msub></math> ✔</p>
<p><em>Penalize missing/incorrect radical dot (∙) once only.</em></p>
<div class="question_part_label">e(iii).</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Well answered question with 90% of candidates correctly identifying the complete electron&nbsp;configuration for chlorine.</p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates could correctly explain the relative sizes of chlorine atom and chloride ion.</p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Fairly well answered though some candidates missed M2 for not recognizing the same number of&nbsp;shells affected.</p>
<div class="question_part_label">a(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>More than 80% could identify that the two peaks in the MS of chlorine are due to different isotopes.</p>
<div class="question_part_label">a(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Not well answered. Some candidates were able to identify m/z 74 being due to the m/z of two Cl-37&nbsp;atoms, however fewer candidates were able to explain the relative abundance of the isotope.</p>
<div class="question_part_label">a(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Stoichiometric calculations were generally well done and over 90% could calculate mol from a given&nbsp;mass.</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>90% of candidates earned full marks on this 2-mark question involving finding a limiting reactant.</p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Surprisingly, quite a number of candidates struggled with the quantity of excess reactant despite&nbsp;correctly identifying limiting reactant previously.</p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates could find the volume of gas produced in a reaction under standard conditions.</p>
<div class="question_part_label">b(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>More than 90% could identify the oxidation number of manganese in both MnO<sub>2</sub> and MnCl<sub>2</sub>.</p>
<div class="question_part_label">b(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates stated that MnO<sub>2</sub> is an oxidizing agent in the reaction but many did not get the&nbsp;mark because there was no reference to oxidation states.</p>
<div class="question_part_label">b(vi).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Another well answered 1-mark question where candidates correctly identified a weak acid as an acid&nbsp;which partially dissociates in water.&nbsp;</p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Roughly ⅓ of the candidates failed to identify the conjugate base, perhaps distracted by the fact it&nbsp;was not contained in the equation given.</p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Vast majority of candidates could calculate the concentration of H<sup>+</sup> (aq) in a HClO (aq) solution with&nbsp;a pH =3.61.</p>
<div class="question_part_label">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Many identified the reaction of chlorine with ethane as free-radical substitution, or just substitution,&nbsp;with some erroneously stating nucleophilic or electrophilic substitution.</p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The underlying reasons for the relative reactivity of ethane and chloroethane were not very well&nbsp;known with a few giving erroneous reasons and some stating ethane more reactive.</p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Few earned full marks for the curly arrow mechanism of the reaction between sodium hydroxide&nbsp;and chloroethane. Mistakes being careless curly arrow drawing, inappropriate –OH notation, curly arrows&nbsp;from the hydrogen or from the carbon to the C–Cl bond, or a method that missed the transition state.</p>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Approximately 60% could draw ethoxyethane however many demonstrated little knowledge of&nbsp;structure of an ether molecule.</p>
<div class="question_part_label">d(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>A poorly answered question with some getting full marks on this 1HNMR spectrum of ethoxyethane&nbsp;question. Very few could identify all 3 of number of signals, chemical shift, and splitting pattern.</p>
<div class="question_part_label">d(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Another good example of candidates being well rehearsed in calculations with 90% earning 2/2 on&nbsp;this question of calculation percentage by mass composition.&nbsp;</p>
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Somewhat disappointing answers on this question about how international cooperation has&nbsp;contributed to the lowering of CFC emissions. Many gave vague answers and some referred to carbon&nbsp;emissions and global warming.</p>
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Few could construct the propagation equations showing how CFCs affect ozone, and many lost marks by failing to identify ClO· as a radical.</p>
<div class="question_part_label">e(iii).</div>
</div>
<br><hr><br><div class="specification">
<p>This question is about carbon and chlorine compounds.</p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Ethane, <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{{\text{C}}_{\text{2}}}{{\text{H}}_{\text{6}}}">
  <mrow>
    <msub>
      <mrow>
        <mtext>C</mtext>
      </mrow>
      <mrow>
        <mtext>2</mtext>
      </mrow>
    </msub>
  </mrow>
  <mrow>
    <msub>
      <mrow>
        <mtext>H</mtext>
      </mrow>
      <mrow>
        <mtext>6</mtext>
      </mrow>
    </msub>
  </mrow>
</math></span>, reacts with chlorine in sunlight. State the type of this reaction and the name of the mechanism by which it occurs.</p>
<p><img src="images/Schermafbeelding_2017-09-20_om_15.22.26.png" alt="M17/4/CHEMI/HP2/ENG/TZ1/06.a"></p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Formulate equations for the two propagation steps and one termination step in the formation of chloroethane from ethane.</p>
<p><img src="images/Schermafbeelding_2017-09-20_om_14.32.42.png" alt="M17/4/CHEMI/HP2/ENG/TZ1/06.bi"></p>
<div class="marks">[3]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the splitting patterns in the <sup>1</sup>H NMR spectrum of C<sub>2</sub>H<sub>5</sub>Cl.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain why tetramethylsilane (TMS) is often used as a reference standard in <sup>1</sup>H NMR.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>One possible product, <strong>X</strong>, of the reaction of ethane with chlorine has the following composition by mass:</p>
<p>carbon: 24.27%, hydrogen: 4.08%, chlorine: 71.65%</p>
<p>Determine the empirical formula of the product.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The mass and <sup>1</sup>H NMR spectra of product <strong>X</strong> are shown below. Deduce, giving your reasons, its structural formula and hence the name of the compound.</p>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAf8AAALLCAYAAAD38ouYAAAgAElEQVR4AezdCVhU5f4H8O+MQ1qy2IIFYZEbCqllmsvFBDWwbDOXlNS8ehWTck3MssQyTVvMXXGpzNSkNPOPuS9pLtGiKCBuYbF0w6uxmJrDnP9zZoEzw8wAw8xwDvPleXjmbO973vfzOzO/M2cblSAIAvhHAQpQgAIUoIDHCKg9pqfsKAUoQAEKUIACegEmf24IFKAABShAAQ8TKJ/8dbuxqocXVCoVVIGvYXGBzgpJIU4va1rBMlaKecqkon3Y+tLTGHvqmqf0mP2kAAUoQAEFCZRP/qbGd45AeP7/IenoJdOUslddCr5bcRmdOtUtm8Yho4AWhUdm4D+L6kJLEwpQgAIUoIAMBWwnf+8ueGL0BRzclYo8i4brTm/E9E4fYHxnJn8LGo5SgAIUoAAFZC9gO/mjER55rD0wdyc2mR36L8SZvUfQ9In2uN2ye7o0HF3THy8EqgynBFSBaDhhBRanFZQtWbQPOxZEIlI8raD/j0bkgh3YV2Q6vZCHU1vjEN/FeOrBWh1ltRmHKihTsBjxXl4IXLITh2aFIVC/XrFtnyIp+x+z2nQ567BqXKDt9otL69KQsqSsD15DPsT8dLGPWhTu7IkWUbuRhyQsbnkzvOL3oMC4/oYTPsTsgd76ur3iP0PSK37lT60ULMbkQJW+XB50KNzZA4Gq3ui/Zk1pWZUqGpFLjuD3v/Zh+1um/rRC2KyDSDMxmk7fRK/CPtM0s55yhAIUoAAFPFXATvKvA98Oz2I8TiMtT5IgxUP+M3ugXwfL1J+NH9/tifAdXdEz5TrEOwiFkm1Yp34TcS+tQlKxmIGy8eOCweiVMhRTC0v0y5Rk90LHdU8hZv1paKFF8dGJGPH0NVxZdtG8jglf2UhilSuj8tcib/QEjMAy7CwRIBR+hsW6Keg/eJGxbYAuOwEjghPwwZ0bcFJcRvgJ3zVbgLEPTEGCaSdBl4KN/+6Ahzd0Qtf0vyAIuTjR6VNMbCMuo4Pvo9twakd3BKAfRmdcxY053eAHQFx//vo0/PZGDoSSU9g5IKz8zpPNrfBrJK1Mx9U3cyAIxcjZrgFGd8I9oR/j0x678JtwA0Vp3fDQm8MR89UFw+kGdXcM23UDwvZhiLATZZur5AwKUIACFKi9AuJ9/mZ/JbuEld01AqJWCntL/hB2jb9NCEjMEG4YFyrJGC0EvbxL+J9wVtg90VdAwBRh0V8lgvDXImGSppUQsT3fvLqM0UIU+gmjM64KQskuYUVkXbP6zBYWCoTMpU2M6zafY3usEmX+WiTEB0DQDPtKOF4iqcmszcb+6PstWcbYT82k3UKuIAhi/6PwkHk/9fVojP26IRTs6C4EmPosVmVav7EOQ+0WfqZVmi1bYqzL3vqMBY1xM7XTVB1fKUABClCAApYCFXwn9Ef7xx5E/heHcFB/6Nh0yL8NbrPcH/IbjTk3UrG300l8nZCAhIQErF8Qie4tF2OHaVl1CNr08EfetI8x47uvkfB1BvJN8/SvtyDwgYcRsWMxpm/Yh68T/k9yOsBsQclI5coI+Rr4dwxFqLTHPiFo0TVDf11DQcF2bF9bCE2bYIRIl4E/gpr5Q7tmFzYV/I2z+7djBxoj9B7vsjbo+34DuSNaQFM2lUMUoAAFKEABWQqYpbnyLVTD9+FnMX5/MpJOXwN0KdiztD9Gdy6X+gHk4dSSNgj0jUTv/VeR36gRTv1vIhYdjkUUziP9t2IAQWj32g9IX3wz7t44GtN7h6Kh2Tl9Dbw7rMaWkyMQmz8d86Y/iUjfOlBFTkbc1lMWOwqm1jpSxlTW8Ko9noVs43lx7XvdjdcEmK5J8EPIqHPmBdw+ZrGz4fb1c4UUoAAFKFCbBCpI/gD8ohH98j5sOpAF7elvsGLU0+jtXb6Y7tQMjB2tg/+GLNzYOxuLhg9HQkJPBBWdxQkzsQC0fCYBIz7KNZy//n4kJuaNQ9yjs43PFNDAOywWA17ei72CgJLfN2BD5P9hU69B6L/jollNZSOOlJGUbhOMIDUgHh0ISMzADfF6Bcv/3JkY7ceb98rUOEQBClCAAkoVKJ/Fy/XkXuOh/+1ISs5Ex8hgK4e2S1D8eyZOoCXCW90pmX8dRZcLy9VYNqE+AjtPxYvDOiIg76z5hYXGhdRB/dBvbBwGaY4j88LFSt07b1lG/FKvv+DuTK750YOiTJza3xLhPVrDzy8aPcfegvwj6Ug3HgUwNCEbP85sBJX+qnlfNO0aLTmSYWyk2ZX1lSDVFzOcTjDWwBcKUIACFKCA2wQqkak0hkP/B1dj7KHn0K95PSuNq6NfZpBmE5JWfme83ewKcr9/Ca+NSyl7ToBuN1Z2q4eG4pX7plv7ivZjR3I68ocNQGxzGJ4cGPkaEjJMtwfmIfPbjTiMERj5WGPJjoWpGcanDdopY+qk9r3ZiFlvPH1QvBUrRsVj7pAEzOtxB4AmiBg3HkNWT8HA2aZb5vKQuX4oJr3eBv3eelZ/1by6eSziJ+Zi36xFWJwj3gVxBbm7PsRnu6ONy6jh3SgErfTNK0FhfiHM9iVMzYZxRyJvCxatSzPslBTtxpfTZmCO5YMVSstwgAIUoAAFKFB9AVNetF+TeOh/dBY0PTsh3FYJvxcw7ruXMfRIL9xfRzxf3hGP7u6BZ7+Yikka462C6u749+rPsKjBm4gRz+WL99v7jsO02+Zh7fQn0FpdD81HbMaR4Wfxa/cGpffa3781Gt33T8XUoJustNO3UmX0F/yN743Y033QRlyvz2TMbZmEnR89g9bGPqmDpmLesbEY99/+xj4EQlx31+8TsbZDA8O61a3Rfc5O/NB/H5KC6kKl8sbds+5H68Nlyxh2EA5icUtv+A36EhnWsz/ULaZi/pZWaPdWazQU2/TUDhzouwSJ3Z1w2aDZ0QgrbJxEAQpQgAIeK6ASL/+v9b0XH7Jzx1isWXwCv/GK/FofbnaQAhSgAAXsC9j6Hm+/FOdSgAIUoAAFKKBYASZ/xYaODacABShAAQo4JuAZh/0ds2EpClCAAhSgQK0U4Df/WhlWdooCFKAABShgW4DJ37YN51CAAhSgAAVqpQCTf60MKztFAQpQgAIUsC3A5G/bhnMoQAEKUIACtVKAyb9WhpWdogAFKEABCtgWYPK3bVNjc8QnH/KPAhSgAAUo4CoBJn9XybJeClCAAhSggEwFmPxlGhg2iwIUoAAFKOAqASZ/V8myXgpQgAIUoIBMBZj8ZRoYNosCFKAABSjgKgEmf1fJsl4KUIACFKCATAWY/GUaGDaLAhSgAAUo4CoBJn9XybJeClCAAhSggEwFPDz5a1F8NAZdvKZgcYHOPES6NKQsiUSkSgXxvnuVKhqRCzYhKfsfyXJXkHt4AuK7eBmXCUTDCUsx4/tcaCVLcZACFKAABSggJwEPTv5aFKe9hoQJyTjob/lQnSvI+fLf6Ly2PVofzsENQUBJ9kA8eWgwYuYfRJ4xgrrs9/DGI6lIiTmAkyUChJKd+MZ/AaZHLECi5c6EnKLOtlCAAhSggEcLeGby13+r74kOXz2G54b4l98AdEewbWkq/IcMwwcdA6EBoL57KMZNewFd5+7EJn1iL8TZ5DVY1S0G02I7IkyUVIeh4+T5WPJAIpKOXipfL6dQgAIUoAAFZCDggcm/EJnL+6DX+XhsmNoJftaCUJSJzAPNEXLvHfrEb1pEHRCGtkg2JvZ8ZJ/Jh6ZNMEKkiupgNO6qxcFdqaVHCEzl+UoBClCAAhSQg4A0bcmhPW5owy0IDN+OtPeiEKaWnr8vW7UuLw3HtTeVTTAbykDmhYvQ6bKQdexvsznSEe3xLGRaXEYgnc9hClDAvgB/48K+D+dSoDoCHpj8NfAJuxdWDvYbHbUo/j0TJypSFY8OpDt+WZ/hIkLTxYTmrxWtmvMpQAEKUIAC1REQT2fzrwYEBEGwuVZ+47FJwxkUoAAFKOAEAQ/85l+RmgbejULQqqLFfEIQEsp9p4qYOJ8CFKAABeQnwORvJSbihX1tNNavBwBa6i8EVKuDEfzALVZKGyaVuxDQ5pKcQQEKUIACFHCvAJO/NW/xW32X0/oL+6Rn9Q0XArZA6D3eAPwR1Mwf5S7s02Xh15+vw79ZoJ3rCqytlNMoQAEKUIAC7hFg8rfmrO6InqNaI3/0exibXqBfQpfzCT6a/in2TBqFqS3qAfBF016DMGzPbMQlnkC+uJQuDUdmj8GoA+MxtX9zs9sEra2G0yhAAQpQgAI1IcDkb1W9Pu5+bA6SPzyP9LAG+kf31gn6ACtbfoy1Y8IRYCyjDorFpM090OvztmgoPgK4zv3okjEUr+9/GSP9SGuVlhMpQAEKUKDGBVSCvcvOa7x5ntkA8Wp/hsUzY89elwnwfVBmwSEKOFuAX0+dLcr6KEABClCAAjIXYPKXeYDYPApQgAIUoICzBZj8nS3K+ihAAQpQgAIyF2Dyl3mA2DwKUIACFKCAswWY/J0tyvooQAEKUIACMhdg8pd5gNg8ClCAAhSggLMFmPydLcr6KEABClCAAjIXYPKXeYDYPApQgAIUoICzBZj8nS3K+ihAAQpQgAIyF2Dyl3mA2DwKUIACFKCAswWY/J0tyvooQAEKUIACMhdg8pd5gNg8ClCAAhSggLMFmPydLcr6KEABClCAAjIXYPKXeYDYPApQgAIUoICzBZj8nS3K+ihAAQpQgAIyF2Dyl3mA2DwKUIACFKCAswWY/J0tyvooQAEKUIACMhfQyLx9HtE8lUrlEf1kJylAAQpQQB4CTP4yiIMgCGat4M6AGQdHKEABClDAyQI87O9kUFZHAQpQgAIUkLsAk7/cI8T2UYACFKAABZwswOTvZFBWRwEKUIACFJC7AJO/3CPE9lGAAhSgAAWcLMDk72RQVkcBClCAAhSQuwCTv9wjxPZRgAIUoAAFnCzA5O9kUFZHAQpQgAIUkLsAk7/cI8T2UYACFKAABZwswOTvZFBWRwEKUIACFJC7AJO/3CPE9lGAAhSgAAWcLMDk72RQVkcBClCAAhSQuwCTv9wjxPZRgAIUoAAFnCzA5O9kUFZHAQpQgAIUkLsAk7/cI8T2UYACFKAABZwswOTvZFBWRwEKUIACFJC7AJO/3CPE9lGAAhSgAAWcLMDk72RQVkcBClCAAhSQuwCTv80IXUHu4QmI7+IFlUoFlSoakUuOIE0nLWC5TCAaTliKGd/nQitdjMMUoAAFKEABGQkw+VsNhhbFR0fguUeu4ZZ1VyAIAoSSGXj5UDQi5xxFvrGMLvs9vPFIKlJiDuBkibjMTnzjvwDTIxYgscBsL8HqWjiRAhSgAAUoUBMCTP5W1S/gh6RkHBnfF7FBNxmWUD+IHkPa4/IbXyNJn9gLcTZ5DVZ1i8G02I4IEyXVYeg4eT6WPJCIpKOXrNbMiRSgAAUoQIGaFmDyr2IE/LXnkJb3D4B8ZJ/Jh6ZNMEKkiupgNO6qxcFdqcirYt1cnAIUoAAFKOAOAWnacsf6FLKOe/Fwv17oOPdLLMsWEz0AXTpSvs2EdtZEJLSoB+iykHXsb5v90R7PQiaP/Nv04QwKUIACFKg5AU3NrVrOa9bAu8NSrFzYFiGN6mK6qalRK7H3/Q7wF8eLMpGZrgXammbylQIUoAAFKKAMAX7ztxqnbPw4Mwxh37+BXYUlhgv+hFxkPDMPPYd8it1F1f9Kb7iDQLyLoPy/1SZxIgUoQAEKUMBJAkz+1iALvsGGabcifFAvdPcxEQWgRUwsxnzxAWYcvgT4hCAk1PEDJ/o7CMS7CKz8W2sSp1GAAhSgAAWcJWDKbM6qrxbUo0XhDxuxRmu8yl/aI58QtOiaob+Y75I6GMEP3CKdazZc7kJAs7kcoQAFKEABCtScAJN/OXsNfB9+FoM0xgv9pPOLMnFqf0uE92iN2+CPoGb+KHdhny4Lv/58Hf7NAg3XBkjLc5gCFKAABSggAwEmf2tB8OuNYfO9kLl1ExanFRiXyMOptcswt+NQjO58GwBfNO01CMP2zEZc4gnDg390aTgyewxGHRiPqf2bw/GTAtYaxWkUoAAFKEAB5wgw+Vt1DECLF/8Pe6KOIWvUHcaL8qLQJ/9d7Nw6Dv28DWzqoFhM2twDvT5vi4bihXt17keXjKF4ff/LGOlHWqu0nEgBClCAAjUuoBLEK874JysB8Q4AhkVWIWFjakCA74MaQOcqPUaAX089JtTsKAUoQAEKUMAgwOTPLYECFKAABSjgYQJM/h4WcHaXAhSgAAUowOTPbYACFKAABSjgYQJM/h4WcHaXAhSgAAUowOTPbYACFKAABSjgYQJM/h4WcHaXAhSgAAUooMDkfw2X86+CDyfgxksBClCAAhRwTEB5yV+7BcsbNcY9se9jypaf8HPhDcd6zlIUoAAFKEABDxVQXvJX34uWw9WomzgJ7z7VDg+1fQIPTV6Cd3efRraWxwM8dDtmtylAAQpQoAoCCn28rxbX/nsQKds+xtdJm5GYXIBiAKq2z6Fr72cw7JlIPB12J3xVVZCQ0aJ8rKmMgsGm1JgA3wc1Rs8Ve4CAQpO/NDLXUHR+C3Z9vQZbv9yBFYevAfBG3X/F4OnYIYh/piMe8qkjLSD7YX7oyT5EbKAbBPg+cAMyV+GxAso77G8WKgHawnScTvsZZ89m4JcTYuIXjwA8iIdzl2PDkHC0f3omFuUYppsV5QgFKEABClDAQwUU+c1fuHoGpw4nYVfyp/g08TR+Eo/5e3dG6MuDMbh7Nwzq2gx3a88g7esXMWzgLzi/8ADy4sLgpZAg8xuPQgLFZrpUgO8Dl/Kycg8X0Ciu/yWbMb9zb4w7Jl7c1wwNX5iJyX2i0L9ra7T1laR3TXOEdX4YjXEe+d5eUOjpf8WFhw2mAAUoQAH5Cyjvm3/J/2Fxu804/GJ/DH46HI/eebPtxK7Nx/nL3rjP384yMowRv/HIMChsktsF+D5wOzlX6EECyjvnrw7Bwy81QrN77kOHcolfh6tnVuCjEcuRdKkE0PijscISvwdte+wqBShAAQrUkIDykn/JMeybNQ3T1qUiuxzadeT/MB/jV6xF0pmr5eZyAgUoQAEKUIACgDLO+Qup2BLbGU8tv1IWs3N9cP/qslGzIe9BCLpdcv7fbCZHKEABClCAAp4toJBz/gJunHkbY4d8gezbC5G7Pxs/3RmBJsF1UDcvzzyCTSLx0JA4vN+nJRoq5Co/8dym5Z8g8GmFliYc9ywBnvP3rHizt+4VUEjyl6CUbMa8dr0xvsM3yFz6BJpJZtWWQX7o1ZZIsh/VEeD7oDp6LEsB+wLKS/72+1Mr5vJDr1aEkZ2opgDfB9UEZHEK2BFQxDn/kowpGNg3A1iYiA2PpOHz58ZgZobOdrd8B2NC8iQMv01Zj/W13SHOoQAFKEABCjhPQBHJH9eycTY9Eyr9z/cW4uK5NKSn2zkn7p2LfK3zkFgTBShAAQpQoDYJ8LC/DKPJw50yDAqb5HYBvg/cTs4VepCA8u7z1wdHi6vZW/HJT/nQQYA2OxEfDbwdanV7NJ+6CXuLSjwohOwqBShAAQpQoGoCCkz+/+DywYHo1bIXhq/+Gf8TfsLm18Zh/PrbcU/HLOjeGYJeb+/Dhao5cGkKUIACFKCAxwgoL/nrDmBTwtfYG/AfDBvYBr6ZHyPxs6vA029g3feZ+Gzazbi65Et8nHPDY4LIjlKAAhSgAAWqIqC85H8xBT8c1eKmIcPxYUdf5Bzegx24Fbc/2hbtVfURHNoIKD6F9OzrVXHgshSgAAUoQAGPEVBe8tdew9ViQ3y88BvO/CQ+4b8N/tXmbmhwHUWXCwDUQ92byj81z2Oiyo5SgAIUoAAF7Ago41Y/aQfu7IBO/1Jj9Tdf45M2+Ti8thi4Pwr92t6My+mzsGL5r0CLwYhocrO0FIcpQAEKUIACFDAKKPBWv2v4c88ADHh6M/bqjwA8iFZr1uOnARlY3K43xp3tiZ5fLcOmqEaop9Aw8xYnhQaOzXaqAN8HTuVkZRQwE1Bg8hfbfxWXMzfh2y+uoCD6McQ8HAQ/VTZ+WvoxfukSh8Fht6GuWTeVNcIPPWXFi611jQDfB65xZa0UEAUUmvwFaIvSkf5jBjIvWnnSX90WaPvY/Wjipczz/vzQ45uTAgDfB9wKKOA6AeWd88cNFKW+gjF9FuCTs1YSv94qFtNyFiIhUIHdc12sWTMFKEABClBAL6C87PhPMj4etRCf/NEJoVNi8FSADnX/9z/zcPp0RvSt/FEfcxSOUYACFKAABQwCykv+F4/hp8M6aMa+ieR3ohGszCP73P4oQAEKUIACNSagvPv86zfEXQGAyucW+DDx19iGwxVTgAIUoIByBZSX/P36YvCUZtBu2IxFWVdg66y/M0Kiy1mHVeMC9RceqVSBaDjhUyRl/yOp+gpyD09AfBcvyTJLMeP7XPAXhSVMHKQABShAAVkJKC/5l6Qh9XABGp/+ANPua4YGkX0QFhZm/t/pXay8VL1f9tNlJ2B4kx34aWQGBEGAUPgZFuumoP/wNdinM8RQl/0e3ngkFSkxB3CyRIBQshPf+C/A9IgFSCwwLiSrcLMxFKAABShAASXe6leyGfPEh/kcs/Od3/tlzDo3F682dPSiv3PY80pbRKs34bc53RBg2lIKFiP+jqVISd6DvVE34fSytgjZ+Br2fjsMEabdKN1urOjQH5+/k4m9UXeYSlbplbc4VYmLC9dSAb4Pamlg2S1ZCCjvgr86T2PsLzqMdSVfwXZsm3cvwpNblyV+cX1+ozHnxmjjms8h+0w+NG2CEWJK/OIcdTAad9Xi4K5U5EVJdhxc2V7WTQEKUIACFKiCgDRtVaFY7V5Ul5eG49oWCPX9DTsWRCJSpYJK1Qphb32LfUWmY/5ZyDr2t00I7fEsZPLIv00fzqAABShAgZoTUGzyF66m4si6MZg2tB3C9Of4i3Fq7TgkpPyBa9Xy1KL490ycwHkkPTURc1qswU7xnL+wA1/5v4qeYzYhVUzqRZnITOdlfdWiZmEKUIACFKgRAUUmf+HSarz/bEd0ilmAtz79CelHsvD7tcu4cGglpncbht47fq/mDoAYi1xo3lmCbY+KPxUs/gWgRUwsxqyZjrG7LlY7WOL5TFv/1a6cFVCAAhSgAAXsCCgv+QuZ2DNzPOIPPo7+e05g/0x/Y/fuQrcpCYgP2Y5tE9fgy7/tXBBoB6RsViBC7r3DmPiNU31CENLlNDIvXIROHA51/JIJ/R0E+iMK4lEF8/+yNnCIAhSgAAUo4HwB5SX/wt3YsfYS1M8PxdsR9+CW0gf9qOB19wgMH3EfcPIo9p276qCWBr4PP4tBGun9/FaqUgcj+IFbrMwwTCp3IaDNJTmDAhSgAAUo4F4B5SX/K3/ijzzAq/FdaKy6bqFVFz63+gEoQOHf1bjazqc9OsacN1yxL12DeJ7/QCTCW98FNfwR1Mwf5S7s02Xh15+vw79ZIEzHJKRVcJgCFKAABShQ0wLKS/5+TdAsTIV/fjmL40I9C7/zSD1wBvBugdCguhbzqjCqfhBRo59C+HsfYuzRvwwFdWk4sngR5g/6D6a2bwDAF017DcKwPbMRl3gC+eJS4jKzx2DUgfGY2r+5+SmDKqyei1KAAhSgAAVcKaC85F8/Gs/ENkX99XMwdMF3yCoQn+R3BX+e+xHfzn4OLy8UUC/mcfQN9KqGmwbeHVZjS1p3PPRRkOHCvDoDMPzG+9g2vzdaG9XUQbGYtLkHen3eFg3FC/jq3I8uGUPx+v6XMdJPebTVAGNRClCAAhRQkIBKEK82U9rfjWPY9cYT6D07B8VmbfdGvb4zkLgwDoPvdPxiPLMqa2CETzarAXSuUnYCfB/ILiRsUC0SUF7yF87gx1XrsDXwCQy47Qcc3XUIW45fgyo0Em0efgQv3HsISR8Bd88ehn63Ofp435qNMD/0atafa5eHAN8H8ogDW1E7BZSX/LVJeL9Ff0z611c4+emzCDOLy1X89nkH3DvodvQ7sgUbOnibzVXKCD/0lBIpttOVAnwfuFKXdXu6gDKOjQup2BLbGU8tv1IWr3N9cP/qslGzIe9BCLq9Ouf8zWrjCAUoQAEKUKBWCSjkm7+AG2fextghXyD79kLk7s/GT3dGoElwHdTNyzMPSJNIPDQkDu/3aYmGpc8AMF9E7mP8xiP3CLF97hDg+8AdylyHpwooJPlLwmP8Sd/xHb5B5tIn0Ewyq7YM8kOvtkSS/aiOAN8H1dFjWQrYF1Be8rffn1oxlx96tSKM7EQ1Bfg+qCYgi1PAjoAyzvmX64AAbVE60n/MQOZFK3cq1m2Bto/djyZeCj3uX66/nEABClCAAhRwnoACk/8NFKW+gjF9FuCTs1YSv94mFtNyFiIhUIHdc15sWRMFKEABClDAqoDysuM/yfh41EJ88kcnhE6JwVMBOtT93//MO+fTGdG3KvMef/OOcIwCFKAABSjgfAHlJf+Lx/DTYR00Y99E8jvRCOaRfedvFayRAhSgAAVqtYDyHkBfvyHuCgBUPrfAh4m/Vm+c7BwFKEABCrhGQHnJ368vBk9pBu2GzViUdQW2zvq7hou1UoACFKAABZQvoLxb/Ur2Yu3gAXhz3Z84hwD4RnRC0J+nzCPhOxgTkidhOJ/tb+7CMQooSIC3+ikoWGyq4gSUd84fhcjPyMc5PXUeCvdtRLolu3cu8rWWEzlOAQpQgAIUoIAooLxv/h4QN37j8YAgs4sVCvB9UCERF6CAwwKK+OZfkjEFA/tmAAsTseGRNHz+3BjMzNDZ7rTCD/vb7hjnUIACFKAABaovoIjkj2vZOJueCVXhDQCFuHguDenpdi7142H/6m8ZrIECFKAABWqtAA/7yzC0PNwpw6CwSW4X4PvA7eRcoQcJKO9WPw8KDrtKAQpQgAIUcIUAk78rVFknBShAAQpQQMYCyjjnL2NAZzRNPLzJPwpQgAIUoIC7BJj83SVtZz2CYH7xIj5WO/AAACAASURBVHcG7GBxFgUoQAEKVFuAh/2rTcgKKEABClCAAsoSUGzyF66m4si6MZg2tB3COr2LlZeKcWrtOCSk/IFryooBW0sBClCAAhRwq4AiD/sLl1bj/edHIX7bVSNWO/x+7TIuHFqJ6bGncfSrZdgU1Qj13ErJlVGAAhSgAAWUIaC8b/5CJvbMHI/4g4+j/54T2D/T3yh9F7pNSUB8yHZsm7gGX/5tfh5dGeFgKylAAQpQgAKuF1Be8i/cjR1rL0H9/FC8HXEPbim9UF4Fr7tHYPiI+4CTR7HvnOmogOsRuQYKUIACFKCAkgSUl/yv/Ik/8gCvxnehseq6hXVd+NzqB6AAhX/befa/RSmOUoACFKAABTxJQHnJ368JmoWp8M8vZ3FcsDyrfx6pB84A3i0QGlTXk+LIvlKAAhSgAAUqLaC85F8/Gs/ENkX99XMwdMF3yCooAXAFf577Ed/Ofg4vLxRQL+Zx9A30qjQCF6QABShAAQp4koAyf9jnxjHseuMJ9J6dg2KzaHmjXt8ZSFwYh8F3KvJGBn1v+IMmZkHliIcK8H3goYFnt90ioMzkL9IIl5Dzwwbs2XUIW45fgyo0Em0ejsCQqBYI0pReBegWRGevhB96zhZlfUoU4PtAiVFjm5UioLzkL/yK4xuL4P34/Whys/LOWlRmw+CHXmWUuExtF+D7oLZHmP2rSQHlZc+SH7Fzchs0bfUY2k1bjcVHsvCnlvf01+RGxHVTgAIUoICyBBT4zf8Mfv7kdSxdvgXLDxse5KtqOwCPPtcXgx8Px1Nhd8JX2Uf9wW88ynoTsbWuEeD7wDWurJUCooDykr8pbkIB8tM2Y/fXHyNpw0FsPKEF4I26UcPRr/8AvDqkA8K8lLkXwA89U5D56skCfB94cvTZd1cLKDf5S2W0ecj6YTm++OgjzEi6jGLEYlrOQiQEKvOKf37oSYPLYU8V4PvAUyPPfrtDQJnZsVRGi2v/PYiUbR/j66TNSEwuQDEC4DewHR70Ud7lDKXd4gAFKEABClDAhQKKzJDC1ZP4ecsUvD+yCe6/KxKPDF2Nuf/tjci5G7HhXAb+u/Y/eNqpyf8KcjY8DC+vKVhcIH1s8BXkHp6A+C5e+vP0KlUgGk5Yihnf50I8CcE/ClCAAhSggBwFlPfNv2Qz5nfujXHHBMC7PZpMmIxZj/fAoK7NXHZ/vy77Pbw5LgVa/x5mMRSnv/FIKs7PP4CT+zsiDGk4Mrs/ukRcwG0X38FoP0XuW5n1kSMUoAAFKFD7BJSX/FEHXhiOwauHYFSvjuh8m4sf41u8FasmLMBPDX2BP6UbQCHOJq/Bqm6vYW9sR4Tp83wYOk6ejyUb++PzoxMxOuoOaQEOU4ACFKAABWQhoLyvpnWewOhflmP14C6uT/zIxo/zY/Giz0eYHetvEbB8ZJ/Jh6ZNMEKkiupgNO6qxcFdqcizKMFRClCAAhSggBwEFPHNvyRjCgb2zQAWJmLDI2n4/LkxmJkhPfduQek7GBOSJ2H4bXUsZlRlVIvio/EYP+1JvP7rU7gvebp5YV0Wso79DbQ1n2wa0x7PQqYOCJDuGJhm8pUCFKAABShQgwKKSP64lo2z6ZlQFd4AUIiL59KQnm7nqX7euciv7hV3xUlY+GQeAg4uRkKQCqctg1SUicx0rc3kb7k4xysnwNu7KufEpShAAQpUR0ARyb/Og5/hZ1OuF/7Gv15KwPS7YzC2Z1P4mfVeh6tnVmHZHAF3V6dnuhRsfHEUPpywA2kdGuh3OMxWwxEKUIACFKCAggWUd1C65Bj2zZqGaetSkV0O/jryf5iP8SvWIunM1XJzKzfhCnK+jMNzWdOw6KX2sDzTX1qHTwhCQh3fwxC/4dr6L10HByhAAQpQgAIuEFBG8hdSsWWktyFZevXHpHMAVvfB/eUS6C24d9AJwDsIQbc7eBeA7gi2J/4C7cGJ6O9Tx5ig/RAy6hyQNwtxDYIQuPwUdOpgBD9wi82QlLsQ0GJJQRBg699iUY5SgAIUoAAFnCrg+FdXpzajgspUrdBzUjxePPEFsm8vRO7+bPx0ZwSaBNdB3TyLa+qbROKhIXF4tUndCiq1MVvdHcN23cAws9mFOL2sLUKm98eijBnG+/cLEdTMH9qNFhf26bLw68/X4T8w0PZRA7O6OUIBClCAAhRwr4Aykj9U8Gr2JhYffhMo2Yx57Xrj5w4T8e3SJ9DMvV6Stfmiaa9BGPbSbMQltse+Ua3grxMf8jMGow6Mx7xNzaEQXEmfOEgBClCAAp4goLz8VOdpjP1Fh7EyiI46KBaTNudj1ay2aPii4fYCzeA5eH3/8xjJp/vJIEJsAgUoQAEKWBNQ6K/6CdAWHsfP+87gwnXzbt11cxaOb7gZDT56EYOqdZ+/eb3uHPPk2908ue/u3MaUsC5uC0qIEtuoVAHlffPHP7h88N94Ycg6bPnVdP+fBb/3y5j1vsU0jlKAAhSgAAUooBdQxtX+0mDpDmBTwgZsye+E0LFjMeJfXoB3JNpOGIn/dKoHIAKR61/BuIbVebqfdIUcpgAFKEABCtQuAeUl/4sp+OGoFurnp2DT3Nl4dXgToPgOdBwxD4nbP8NHjx/G4W+O46yNgwK1K3zsDQUoQAEKUKDqAspL/tpruFoMeDW+C/eqbsKd992HRjiP9N+KofLpiSf73odriV9g1XmLiwGqbsMSFKAABShAgVopoLzk79cI9zYCbpz/AxcEFW6+6z60xJ/4NfcvCKgDzU3iw31ykH1R/B0A/lGAAhSgAAUoYCmgvORfvxt6DLodus9noc/7B5Ef1BFdwrLxW9IXmLV7LTZ9fQbwbowmd91k2VeOU4ACFKAABSgAQJG3+gn//RgfvDgGk67Mw95vY9B8Z38M6rsFe4vFmDZCw4S1SHkzHPeolBljT77FyZP7rsyt1XWt5rbgOlvWTAFFJn992LR5SE+tg8ZtG6IeruJy5iZ8+8Uf+O+/nsGgbo3hr9DEL/bNkz/0PLnv/DgyF+C2YO7BMQo4U0ARyb8kYwoG9v0GaZXtue9gTEiehOF8yE9lxWSzHD/wZROKGm8It4UaDwEbUIsFlPGQn2vZOJuejvTKBsI7F/mGp+1WtgSXowAFKEABCniMgCK++XtMNIwd9eRvPJ7cd0/bzivqL7eFioQ4nwKOCyjvan/H+8qSFKBALREQdwz4RwEKOC6g2OQvXE3FkXVjMG1oO4R1ehcrLxXj1NpxSEj5A9cc92BJClCAAhSgQK0XUMY5f4swCJdW4/3nRyF+21XjnHb4/dplXDi0EtNjT+PoV8uwKaoRxCf9848CFKAABShAAXMB5X3zFzKxZ+Z4xB98HP33nMD+mf7GHt2FblMSEB+yHdsmrsGXf/Ph/uah5hgFKEABClDAIKC85F+4GzvWXoL6+aF4O+Ie3FJ66k8Fr7tHYPiI+4CTR7HvnOmoAENNAQpQgAIUoIBUQHnJ/8qf+CPP8MM+jVWWP95TFz63+gEoQOHfOmk/OUwBClCAAhSggFFAecnfrwmahanwzy9ncVywPKt/HqkHxGf7t0BoUF0GmQIUoAAFKEABKwLKS/71o/FMbFPUXz8HQxd8h6yCEgBX8Oe5H/Ht7Ofw8kIB9WIeR99A8df9+EcBClCAAhSggKWAMh/yc+MYdr3xBHrPzoH+t3xKe+WNen1nIHFhHAbfqZwbGazdsywInnnBIh/sUroxe/yAvW3B3jyPhyMABSohoMzkL3ZMuIScHzZgz65D2HL8GlShkWjzcASGRLVAkKb0KsBKEMhvEU/+YPPkvstvS6zZFtnbFuzNq9lWc+0UUIaAcpO/Ld+i7/HthMPImz0ew/jDPraUZDudH+qyDY3bG2ZvW7A3z+0N5QopoEAB5Zzzv3EC38+PRp/WXlD5PIymE1dhTY7kWX7C//Db7hGI7RKBx1ecxW/XPPOwuQK3QTaZAhSgAAXcLKCME+PCORx+53H0nJ5tPMefgnMfpmBI6hX4bH4JT5Vsw/rJwzByyR8o9g5H2w8HoZ9/HTdTcnUUoAAFKEABZQgo45t/fhI+/SAbV578ACt+vwLdjV9xYnFrNNi1ErPWrsY7vZ5GzJJiaPu+h/ePbsah8eEI81L2eX9lbD5sJQUoQAEKKFFAEef8tUf7o0XHI9B+vAfnhzaFfo+lYDEmt4zDnDwA3j0RmTgHn/S7H/co/GI/cSPy5POZntx3JX6AuLLN9rYFe/Nc2SbWTYHaIqCMw/567ZtQv35dQ+IXx+v7w/8WMfH3w+D9ifi0bQPwu35t2SzZDwpQgAIUcKWAMg772xPo1QfjHmTit0fEeRSgAAUoQAGpgPKTf10v1OVXfmlMOUwBClCAAhSwK6Cgw/4luH7pv0hLK9R3qIFPNgrFJ/te/QvnsrOBgoKyjta7C40a3w5f7hSUmXCIAhSgAAUoYBRQ0AV/SThX6bDFYlrOQiQEKmjfRtI3T76YyZP7LtkEOFjBha/cTriJUKB6AorIjirfJmgbGopK/06fbzAa1ePX/uptGixNAQpQgAK1VUAR3/xrK76tfnnytxpP7rut7cFTp9vbFuzN81Qv9psCVRFQ/gV/Vektl6UABShAAQpQoOy2eVpQgAIUoAAFKOAZAvzm7xlxZi8pQAEKUIACpQJM/qUUHKAABShAAQp4hgCTv2fEmb2kAAUoQAEKlAow+ZdSWAwU7cOOBZGIVKn0P7SjUrVC2FvfYl+RTrLgFeQenoD4Ll7GZQLRcMJSzPg+F1rJUhykAAUoQAEKyEmAyd9aNHQp2PjSE+iV0hcjs69DEASUZE/E8Ix+eHTc10g15n9d9nt445FUpMQcwMkSAULJTnzjvwDTIxYgsUC6k2BtJZxGAQpQgAIUqBkB3udvxV13Kg6PtTyKf7Zvw96oO0qXMJ9+E04va4uQja9h77fDEGHajdLtxooO/fH5O5lmZUsrqcSAJ9/D7Ml9r8Sm4VGL2NsW7M3zKCR2lgIOCijiCX8O9s3hYuoWi7BdsFU8F5kXLkIHL2SfyYemTTBCTIlfLKIORuOuWhzclYq8qG4IsFUNp1OAAhSgAAVqSECatmqoCUpbbTh6dwmGWpeFrGN/22y89ngWMnnk36YPZ1CAAhSgQM0JMPlX1l6Xgq9nfYo9wwYgtnk9oCgTmem8rK+yfFyOAhSgAAXkI8DD/pWKRR5OLfsPnjv/CuatfwKtuctUKTUuRAEKUIAC8hRg8q8wLnk4taQnWo1ph5HHx2P03TcZSviEICTUcT7xgiX+UYACFKAABWpCgN9h7anr0nBkVg9j4v8Qi0L9ypZWByP4gVvKxi2Gyl0IaDFfvH3Q1r/FohylAAUoQAEKOFWAyd8Gpy5nPqZ0fQCddjyN11MtEr++jD+Cmvmj3IV9uiz8+vN1+DcLhL+NujmZAhSgAAUoUJMCTP7W9IvX4YMBE/HuuVhM+ywBCS0l3/hLl/dF016DMGzPbMQlnkC+OF08UjB7DEYdGI+p/ZvD8ZMCpSvhAAUoQAEKUMDpAkz+5UgLcfrzNxB/UAvkLcL0RnWNj+41PeZXBa/4PcgTb+kPisWkzT3Q6/O2aCg+BrjO/eiSMRSv738ZI/1IW46WEyhAAQpQQBYCfMKfLMJg3ghPfnqZJ/fdfCvgmL1twd48ylGAAhUL8OtpxUZcggIUoAAFKFCrBJj8a1U42RkKUIACFKBAxQJM/hUbcQkKUIACFKBArRJg8q9V4WRnKEABClCAAhULMPlXbMQlKEABClCAArVKgMm/VoWTnaEABShAAQpULMDkX7ERl6AABShAAQrUKgEm/1oVTnaGAhSgAAUoULEAk3/FRlyCAhSgAAUoUKsEmPxrVTjZGQpQgAIUoEDFAkz+FRtxCQpQgAIUoECtEmDyr1XhZGcoQAFPExB/54B/FKiqAJN/VcW4PAUoQAEKUEDhAkz+Cg8gm08BClCAAhSoqgCTf1XFuDwFKEABClBA4QJM/goPIJtPAQpQgAIUqKoAk39Vxbg8BShAAQpQQOECTP4KDyCbTwEKUIACFKiqAJN/VcW4PAUoQAEKUEDhAhqFt79WNJ/36daKMLITFKAABRQjwOQvg1AJgmDWCu4MmHFwhAIUoAAFnCzAw/5OBmV1FKAABShAAbkLMPnLPUJsHwUoQAEHBXgU0UE4DyjG5O8BQWYXKSBXASYnuUaG7artAkz+tT3C7B8FKEABClDAQoDJ3wKEo+4T4Lc+91lzTRRQmgA/H1wbMSZ/1/qydgpQgAIUoIDsBJj8ZRcSNogCFKAABSjgWgEmf9f6snYKUIACFKCA7ASY/GUXEjaIAhSgAAUo4FoBJn/X+rJ2ClCgCgK8yKsKWFyUAtUQYPKvBh6LUoACFKAABZQowOSvxKixzRSgAAVqoUBVjvxUZdlaSFXtLjH5V5uQFVCAAhSgAAWUJcDkr6x4sbUU8FgBftPz2NCz4y4QYPJ3ASqrpAAFKEABCshZgMlfztFh2yhAAQpQgAIuEGDydwEqq6QABShAAecK8LSPcz2Z/J3rydoUKMAPFfcFjdbus+aaKGBPgMnfng7nOV2AH/5OJ2WFFKAABaoswORfZTJpgSvIPTwB8V28ICY1lSoQDScsxYzvc6GVLsZhxQgoYedECW1UTMDZUAp4qACTfzUCr8t+D288koqUmAM4WSJAKNmJb/wXYHrEAiQW6KpRM4tSgAIUcK0AdyJd6yv32pn8HY5QIc4mr8GqbjGYFtsRYaKkOgwdJ8/HkgcSkXT0ksM1s6C8BOT+ISltn3RYXoqubY0n9duT+urarcaza2fydzj++cg+kw9Nm2CESBXVwWjcVYuDu1KR53Dd7i8oxw8Utqn624EcDOXQhupLKqMGpVkrrb3K2Aoq10pp2qpcCS5lENBlIevY3zY1tMezkMkj/zZ9OIMCFKAABWpOQFNzq1b4mosykZmuBdo61o+K9ngrmu/YWu2Xctc6peuRDptaJ50mHTbNd8WrdD3SYdO6pNOkw6b57n61bIN0XDoststy3N1ttWyDZXvsjTs6ryb66M51OsvFsh539sG0Lss2SMelw+LyFY2b6lTKqyAINdZUJv8aorcXdHEDl863N16VeWJXpcvbGrZcznJcWs5ynuW4vWUt51WlrKuWrUqbLJetyri9Ze3Ns+y35bi9svbmVaee6pS11yZH51m2x3K8KvXaK2uvHstyluP2ytqbZ1mP5bi9svbmVaUey2Utx+2tx968qtTjqmUt21eV9VgrK5aX6x8P+zsaGZ8QhIRy38lRPpajAAUoQIGaE2Dyd9ReHYzgB26xWbrchYA2l+QMClCAAhSggHsFmPwd9vZHUDN/lLuwT5eFX3++Dv9mgfB3uG4WpAAFKEABCrhOgMnfYVtfNO01CMP2zEZc4gnki/Xo0nBk9hiMOjAeU/s3h7NOCkjP/4urkY5Lhy3nWeuadHlbwxXVIy1nbVnpfOmwZXuszZNOkw5bW4+0voqWlc6XDkvrsLUO6fK2hi3rsVaXvbLSeZZ1Wc6zN245T1qX5Tx745bz7NVj2VfLspbj9uqSLisdtlyHtA5r8+yVtZwnrcvaPOk0W8PSOkzD0mUt22hvnqm86bWiZaXzpcOm8qZXy3n2xi3nmeowvVrOl45Lh8XlLcdNdVibJ11WOmxt2crWY1nWsl579VRU1l5d0nrlOMzkX42oqINiMWlzD/T6vC0aio/3rXM/umQMxev7X8ZIP9JWg5ZFKUABClDAhQIqQcm7Li6Eqcmq5XjVKNtU8RZBIxpVLFDxEtyOKjYSl5Cbk9zaU5Eik39FQpxPAQpQgAIUqGUCPDZdywLK7lCAAhSgAAUqEmDyr0iI8ylAAQpQgAK1TIDJv6YDWrwO74bcjsgdFy1acgW5hycgvouX/tyWShWIhhOWYsb3udBaLFn9US2K0xZj+bhA47pUUAW+gP7JmYa7GEwr0KUhZUkkIsWLG/X/0YhcsAlJ2f+YlnDiqxbF6XMxe6C3cV2tEPbWt9hXZP6DCbqcdVglbXfkZMR9dgRp5os5sV2mqq4gZ8PD8PKagsVmP9/szrgBulNxiC6NhykuKqiiV2GfycCtcTPc9WK2nUROxtgj5tute+KmReHOHgi05mOc5hW/x/gDXO6Nm3hnUEVG5ZZRufj9ZvYZUJPvt2z8OLMRymJjes8BldpuLG2d4qZF8dEYdCn3fje1zc58l7THtN5qvIoX/PGvhgSKkoUVLwULnfGQELE936wRJb9PE4ZpugsRiw8LJ0sEQSg5KRyeGSpoNK8Ki/4SJzjvz7Cu5kLozAOGdQnFQs7BocJgTXOh9YYs4YZ+VcVC9hftBU34JGHM4Rz9tJLsj4UPBtQXNJN2C7nOa46+ptL+r8sQ/hSnFO4SksYGCIj4UNhQZOx/yQ/CV4N8Bf/xnwgbfr8uCKXtblXO08nNE/TtC4CAgClm8ShttxviJgg3hIId3QVN95XCXpubhHvjJpT8IHw5wF8IXZJqiJuQK5xa112IQD9hdMZVQxhqMG6GBvwupLwTZLYtuTduhvVrhn0lHDdtyvr3e0+h35HLxk3VvXEr7b/p/Sa+l7Y/Lvj7z3Hz+y1XyFgcIXR/WFP+c6VS240r3G4IRScnCRM7+5Z7vxuCZW++K9pj3ESq+SLeg8k/twsUCzmHxgsjQ2cL3x+OFaLKJf8CIXNpEwFRFh/qJbuE5e1uc3JiM67LIokJgsX0kl3Cisi6QkBihnFnwIBWkjFa6O70HZKzwu6JvuXe/OK6pFaGcUlS0TfJ0G5X7JCUbiZFycLyfrcJbdpYfhi4M25ia6w7lbZTHHBr3Iw7I+W2B/N21ljc9DA3hKIjA4UI9JIkWjfH7a9FwiSN5Q6quZF742ZYt7XPG+l73tVxK8leKywb3F7od2ifsLJ7+eRfqfU7e3svOSn8sLi7EDp9j/CD+Jls+TlZ4Xx3fm6avfMrHOFh/2ocNXG0qO5UPKKfro82O8ahY4M6VqrJR/aZfJR7RLA6GI27anFwV6rxUKWVolWe5IvmsWch5M7EaGvPJsg7i7S8fwDxVwwPNEfIvXeYPbxIHRCGtkhG0tFLVV6z7QJN0O39AtyY0w0BNhfSovj3TOzRNEFYwE2SpW7BXY2Dgbk7scnscLxkkWoNZuPH+bF40ecjzI61fIajO+MmHl6vxNMk3Rq3C/hxewow/lH0NtuWpPGsqbgZg16chCWvJOHgpAmY16GBcaKb42Zn+yt9Yqg742b8eXJrnzf3ta2LvC8P4aBO59r3m243VrafhQ2DN2F9B2snNiu53TjVrRCZy/ug1/l4bJjaCX7l4lbRfLj5c7NcA+1OYPK3y+OamerAMVh/bjpG3y1NWpJ1Gd+Mkilmg6UfEGZTXTQS1RP9mteDLi8Nx7U22osMZF646IJrEcr6pMv5BB9N/xR7hr2GeT3uAPA3/jifBa2/qmwhyZC/9pxhp0UyrfqD4nm9eIyf9iRen/4U7rN897g7bvoPuntxa/ZKDA80nu8Xr9VYc7T0mge3xq10Z+RmXN4aV3q9iteQDzE/vcDIXxNxM0X+CnK2zsVrR0bg9THhZTuW7o6b31PoP/0yDn7xHVKN12XocpLx7eq26PfWs4hQo8bfbyYx/euJs0gvuuba95u6NTrv/B67Hr0blm8rQ1sqt904d3u/BYHh25H2XhTC1Naua6povsziaBZU2HC2WIijThbwDUGYj/VNXL8m8UM93drer5PbYac6XfaHmP1SHbT+T3eEqw173SfsLO+yWbrdWNXDC3WC/o2J+/ug3/BOCNXTGb6tuWy91iouTsLCJ/MQcHAmEoKs7HS4OW6GD7pgBISPw8pcQf8YVSFzCPr/0BeRc44iH4Zva26Lm35npATX3x+KHnuewQv7b0AQbuDyqxfwQ9tXkaC/MLQG4maKpe4Itif+Aozvi9ggyY6sm+MGBKHdq59g2YXn0KaOYaetTtC7+PydJVirPxrh5vebrR8pM9spKtQfjTRROv/VH2FhPnaqrcx2U6I/OuG87V0Dn7B77fxGS0Xz3RxHO3rWZtnJQNYW5zSPECjeilWT5mLLuAVY2+des8P8bu+/ujuG7RKTSDFyPrmIvH9F4aGkCzBdyO629uhSsPHFUfhwwrtYVHq42G1rt7oidYtF2C5s139bKv0dCZ+uiHoyBJopHyDh1FWr5Vw5UeWvxaXgyVg751GE6T9dNPAOHYNhL63FO/MPwpknh6raD93pjfhidzR692lb9q2/qpU4Y/nidZjd9ll80Pdn/CkYd9qKVuCtbY+gzVLxd0Lc/bHcBBHjxmPI3JkYvDPHcARPl4ajs+Kx8qLtXy51BgXrqDkBd29lNddTJa3ZJwQhoaUf5+5tefFWrBjRHy96zce6N3uUfYA3CkEr97bEYm31ERg1H29M/A2pK3bjO93d+l9VtFjIRaNXkPNlHJ7LmoZFL7W3/U2gJuNW2nMNvPWxOo/0364ah0tnumWg3LljlP0CZqpb4ybtbiHO7t+OHVHPYnR707l+43y3xk2LwsMrMTVtNOIGhpVtS95R6D+qNU6/vBZJBXB73NRBUzHveC88uioEXuJtkN1XY233DVjxoj/QqilCfRq48f0mjZtp2LANmcasv9Zxu5v1dpimmt6LpnF5vTL5yysehtbYOgxnbGv5D1fndEI8r/6hPvEvwrZFg9FdcmpCvLCvjcbaeS9x3S3LXQjonBbZqEV/DrKO/sI+Tb5gdaH8chcCWl2schONh4u1Byeiv08d43MH/BAy6hyQNwtxDYIQuPwUdDUUN3udcGvc/KIRHeNrrzkAbnJf3KQt0aXgYNKF8hfRisu4NW6GiyLLX6tiSBTdtDv1F8+6NW56J/EIzXhMXldsOH20dzbmdQTySi88rqG4lcbQcCFvRe9397uVNtDqgNzaI20kk79UQzbDZd+UMqXHt0svqAos+8bglDZfQe6OXuge9BreG9g/2wAAIABJREFUDfgUOy0Sv34V4rejLqfLXdhnOO/cAqH3eDulJfpKjOf5rT3kQ5yvGdQDvf289Hv53cpd2Ge8MKhbM4RKdl6q1bjSUw/GQ7T6Q7UFyFzaBAiYgkV/ZSN3RAuoJd9wXR+3Qpxe1hSqwNcsHjJkOM+4R/Mo+nW4DXBn3HAXQh4OsXKnRT5+z7wM/8gwhKnV7oubJOiGQ/5tEN6jtZVD/u58v92LdtHtUT6J1WTcDNtSufebLgvn92uMZjUTt7IQmnaOLC/ktXi/u3V7L2udzSG5tUfa0ApvBuQCLhUw3Ltq6yE/zcseluKyh/yY7nuGIH3oSPlOGx9WoRkmjE77Sz/bdQ/5MbQpXLIu/QN8tj8umE0TH/oxpL6gGfyJsKtQfFqK6eFElvdQl+9N9adYPAfBWKHhYSnuiJsgCEVrhXfb+JZtI2IbxGcQPOtf/uFMEkvXxc3Qptmd6gr+s44YH/JjiMnzdUcJ0/QPYhKfPeDuuBmePxAgfdCQxQbg3rglC0u7NxEi5m8X9uq3W2PcBviauekfquWmuBk+h6KE7juyDc/x0N+/HiEE9EsqfRCR2+JWssvqff6VW7+rPqesv9/LNiNb813VnrI1OzrEh/w4KuekcraSvyDkChnJo4VJ4RrxuLb+XzN4jjDte8PT9Zy0ev1DYMQHapjWUf5VsmNSuFfYPj9CiDC2B7hfCJ2+wfh0Pae1yFhRsZDz/TTh3QH1jW0LEPzHLxcWnTTseBgWEp+stUhIFJ/8Z2pTwBCh32dHjE8qdHabpPXZerO7KW7GppT8vkHYMD1UCDD1PyJeGJ1sfCqiqblujZv4NMa9wjZJmzSDPxDmGXcYDU1yd9wqTv5ue7/Ziom43f7fKeMOk3Eht8bN8OCxss+bqLKni5raLLgpbraSf2XX7xI3W+93E46d+S5pj2m9jr/yJ32lh0E4TAEKUIACFPAAAZ7z94Ags4sUoAAFKEABqQCTv1SDwxSgAAUoQAEPEGDy94Ags4sUoAAFKEABqQCTv1SDwxSgAAUoQAEPEGDy94Ags4sUoAAFKEABqQCTv1SDwxSgQA0KiL+aGIMuXlMsHlxUg03iqilQSwVq6AHytVST3aIABRwX0O3HF1M24tziYxjpx+8ljkOyJAUqFmDyr9iIS1CAAi4X0KJw9yyMujETawc2r9lfknR5X7kCCtS8AHevaz4GbAEFaoWA7lQcolX9EZd+DkdmhSFQ/HW4wBcQcygPOl0aUpZEIlKcpopG5PpTyJf2ujgJSyalIHTMM3j0cJShrH5Zw+/dq/TDgfofUNJKy3GYAhRwSIDJ3yE2FqIABcwFDD9McwLnsSkxGT88fQi5wu9IeWkP1r3+Drp3X4bkiK+xVyhG9heXcXDwp0gqMP1q1RXkbJ2LqXfMxbw+jdHg0V3INf3OvfhatBZzwjVARCymPt6YRwXM4TlGAYcEeNjfITYWogAFzAUMP1WbF5GADTNeQj9v8XuFCr631wUyga4/vI+EoJsAaOFzqy/8Tb/G6FcPKPgU856/hvDkpxBh+XVEl4rdCRMRf24IRu8ah9F3i3XwjwIUqK4Ak391BVmeAhQAjD83HRDzGHrrEz8AXQoOJl2AZtCziNUnfhHKuJMQNRf9mtcDUIjT6z/E3CFz8FOPOywk83Bq2WAM/qAVuu94C/NC/Szmc5QCFHBUwHI/29F6WI4CFPBgAd3pjdiw936E3HtH2WH5okyc2g/4NwuEv8lGl4WsY39D0yYYIWpAl/0hZr/UDL1HdkNrs0+jK8jd8R+8OFqHW5e8j3WP3l1Wr6kuvlKAAg4L8Ju/w3QsSAEKGAQM5/v3aB7FvA63laLo8tJwXNsbvbsElyZucSfhi91tEB7fGgHIxo+rV2L1+E/xW4cGpeXEUwPF6a/h1V47kPZKMvaObFW28yBZioMUoIDjAmb72o5Xw5IUoIDnChgO5Wu7NUOoj+kjpRBn92/HjoCmCAswnac3XRTYGKH3eEN3ahZef70TRg7rjAAJni57Bsb2mI91A1dg3Zs9EGaqUrIMBylAgeoJ8Jt/9fxYmgIUMJ3vH9gZ4aWJOh/ZZ/KhGdQDvUsf2PM3/jifhbyoGPRrXoC9r6zHL7O2Yk0L8dy/8a94HT4Y+A5WIQ7TZg5E99KdCdMCfKUABZwhUPpWdUZlrIMCFPA8Aavn+wu2Y9u8vy3O9xsvAGzTCM1SxiNhwXMYPehBySH9Qpz+/A3EH9QCeYswvVFdGO7vF+/15z3+nrdlsceuFFAJgiC4cgWsmwIUoAAFKEABeQnwm7+84sHWUIACFKAABVwuwOTvcmKugAIUoAAFKCAvASZ/ecWDraEABShAAQq4XIDJ3+XEXAEFKEABClBAXgJM/vKKB1tDAQpQgAIUcLkAk7/LibkCClCAAhSggLwEmPzlFQ+2hgIUoAAFKOByASZ/lxNzBRSgAAUoQAF5CTD5yysebA0FKEABClDA5QJM/i4n5gooQAEKUIAC8hJg8pdXPNgaClCAAhSggMsFmPxdTswVUIACFKAABeQlwOQvr3iwNRSgAAUoQAGXCzD5u5yYK6AABShAAQrIS4DJX17xYGsoQAEKUIACLhdg8nc5MVdAAQpQgAIUkJcAk7+84sHWUIACFKAABVwuwOTvcmKugAIUoAAFKCAvASZ/ecWDraEABShAAQq4XIDJ3+XEXAEFKEABClBAXgJM/vKKB1tDAQpQgAIUcLkAk7/LibkCClCAAhSggLwEbCT/K8jd0QsN+3yFNHm1l62hAAUoQAEKUKCaAuWTvy4NKUuewPPRW5Hvrapm9SxOAQpQgAIUoIDcBMonfwDXC97Gp4f6oW6JYGyvFoU7eyBQ1Q6ROy5a6YNpfn/EnbpmZb446Rz2vOIHleoJ9D/6l5VljPOjV2GfTpxdiNPLmkKlUkFlc72A7lQcos2WMbVFLGftvxXC3voW+4r0K7HSDjlOysOp5MHosSQDWjk2j22iAAUoQAFFCZRP/uowhL8ajsDyc5zUsWQkvfoxkoorm3wfQqdOJ3FwVyryyrWgEGf278aPzW9DQLl5DyFiez4EQZD830BReh/02vkUHh33NVIr24Rydbt5QsEmrHpmPdI1PBLjZnmujgIUoECtFHBZirep1TkC4QfjEbcwBfk2F5LOaISuPVoDc3diU4FFttal4LsZj2P+m62lBewMa+DdciqmvtkV/qvWY9lpW0cp7FTBWRSgAAUoQAGFC7g/+Xv3xdTVD0Iz5W3EWT38bynqhcLo8RiPZCQdvWQ2U3d6I97q3ROPNKxjNr1yI+eR/luxjUW1KE5bjOXjAstOHURORtzWU8YdFtMpikXYduDfeCHQeHohcjLGHsk1PzSvv4YiEpGmUxBm9ZhWfwW5hycgvouXYX2BL6B/cqZhXQWLMbllHN7TapE3siW8Al/D4oI/DKdQIidj0VthCBTrDnwNn12Yj8mBKnjF75EcJTGdBjGdsjG1/V189k2MRduzUZA+F7MHepe2I+ZQXml/DKdYAhG4/FTpNFMP+EoBClCAAsoRcH/yx82o2281Fg7ZV/nD/7f/C9Ev5yDzwkVJ0inEmb1H0PSJB+BXJe+/8cf5LOShMULv8bZesjgJi56fgo9abMef+tMGxciZchLpvd5EgvSahh0v4cnl7dAz5ToEIRenYn9CaqeRiDHt1OhSsPHfHdD5cF+MzBaXuYGiRddQ9PTT6JF0wdiXK8jZEIl2ndOQEncCfwolKNrVAPWeecqwjN9ozM5YhEkaDQISM3AjdyZG+10xtHvfVixuuB7HhWv4be0Q9G6gsd4fa1N3zMfEfX3w78wSCCXHseuhzzC/UyPc8e5NuOf9S/r+ZLxxDEld38aM7H/0NahbLMJ2IRe5I1qgCmuytnZOowAFKECBGhSwmfw1HTbg2po+CDNr3E/YF+1f9m3Y9G1W5QW/qN2Sb5tmhcqPqFvgmXdewbBKH/6/He0fexD5XxzCQdORf/GQ/8we6NfhtvL125xyBbnfj8U7089BM2wAYpvXs7qkLvsg9hyPRkREM/jrl6iPwKhk7BU2YFELSZmAOLw+cwQG3n0TgACEDFiGNyYewKavfkYedCjcPQUvrX4cI18bblxGA+/QD7BwayOkxyxFongaQ3cE2xN/Qf6kyVg7oAX8oYZ36BgMHfsHUlfsLuuvtZYGPIm4gWHwR100imgBG7sy1koCAUORMK03InzUgDoU7aNDEYB+krYGoHlkOLppf8D+9ELrdXAqBShAAQooUsBm8rfeG2sX0YkX1N1AwY7uVi66s16LOFUdNAlvfV7Zw/914Pvwsxi/PxlJxvP0hkP+UejtZ6sL1nZUvHF3Px2uzjmCY8ufRWsbRdVB4egRvgmJq7Zg31fvYnFagfWOtGqLiEAx8Zv+/BHUzB/aNbuwqeBP/Lg9BXkBTREWIF1GA+9GIeim3ak/jSH244vd/vBvFmjc0RDraoJu7xdA2D4METbaaFojXylAAQpQgAJVFajB1FIfd/ddJDn8f4v9tvtFI/rlfdh0IEv8To2zO9PR6fmHEADToQDL4tIdFfEq/2mY1Kku/Ad0Q7+IBxFmr+feAzFp605sbrEbWz96A3H3N4BKFY3IBTsqd4tg3lmk5RkOlSNvFuIa1DE7WlKn5WLssGyuu8dbNUWo+K2ffxSgAAUo4HECNfvpr24vOfx/FNbu/i+LyL2lh/5TtCnY/UkMRrdvUDbb7pB4lX8C3t3wKp5cPxQxr63D7oru8/eJwOPDlmLOgRsQSk7iyGd+uGdWNB59ex/MLzu0smLpt/2oldhbIr3d0DT8I/ZG3WGlMCdRgAIUoAAFXCtQs8nf7PD/DLx/6Lqd3mpKD/1v+XwNVvynC8Kr2HrxVMPbnzyO8M+mYOCiyt5qKDYyDB0GzcILMb7QHs9Cqs54dv3EWaSb7UTkI/tMPjSDeqC3X0O0i24PzZ4fsS/XeBRA3zstio/GIFJleCCSuvmzeK57PvLP5EpufTQ94MjeQ5OsUPmEICSUl+JZkeEkClCAAhSQCFQxfUpKOm3QdPj/FA4ftpf8AegP/R9A4iQdOkYGO3DFuXjh3jK8904d5Nu51dBwS1s0Itebbu3TojjjM2zdBbT+T3c8ojbeIpj3CRKmbzKeCsjDqSXPInre83h9TDgCoIZv91n4ImY13nltOdbliDsAYj0z8Nb4jUibNREJ4sWD6o7oGR+F8PdmY/DOHP0dALqcT/Dxp9nwNy0jJvUuhtsZ1YX5KLR1pkPdHuH97oV2zeeYkS5ep2BY34y39lf+YkynxZUVUYACFKCAXAVkkPzFb9bGw//lH9Nn4SYe+m+Ny627op+NK/UtClgZDUK7MXMwJ3w7kl6dh8X6pGy+mLrFHHz8fSf03NwODfV3NHjBp/uv+O2VHVjb516UokUMxqQ2X+DjEPGcfiBaHX4BHxyfhYQg4wV+6vZ4duH/Ibn9l0gMqguVylBP1uj92BvfQXInwQZ8figMbd8KhpdKhTpByTgyeF/ZMuqOeOzV7ggZ2RJ1/OIw5bSXeYNLx3zRPGYFto06gk1h4nUK96Dx8vvw9OuDEFW6jOMDvM/fcTuWpAAFKCAnAZUgPv+Wf1UUEB+U0xbdT8zF3m95RX4V8bg4BShAAQrUsEDpl9gabgdXTwEKUIACFKCAmwSY/N0EzdVQgAIUoAAF5CLAw/5yiQTbQQEKUIACFHCTAL/5uwmaq6EABShAAQrIRYDJXy6RYDsoQAEKUIACbhJg8ncTNFdDAQpQgAIUkIsAk79cIsF2UIACFJCpgEqlkmnL2CxHBZj8HZVjOQpQgAIUoIBCBZj8FRo4NpsCFKAABSjgqACTv6NyLEcBClCAAhRQqACTv0IDx2ZTgAIUoAAFHBVg8ndUjuUoQAEKUIACChVg8ldo4NhsClCAAhSggKMCTP6OyrEcBShAAQpQQKECTP4KDRybTQEKUIACFHBUgMnfUTmWowAFKEABCihUgMlfoYFjsylAAQpQgAKOCjD5OyrHchSgAAUoQAGFCjD5KzRwbDYFKEABClDAUQEmf0flWI4CFKAABSigUAEmf4UGjs2mAAUoQAEKOCrA5O+oHMtRgAIUoAAFFCrA5K/QwLHZFKAABShAAUcFmPwdlWM5ClCAAhSggEIFmPwVGjg2mwIUoAAFKOCoAJO/o3IsRwEKUIACFFCoAJO/QgPHZlOAAhSgAAUcFWDyd1SO5ShAAQpQgAIKFWDyV2jg2GwKUIACFKCAowJM/o7KsRwFKEABClBAoQJM/goNHJtNAQpQgAIUcFSAyd9ROZajAAUoQAEKKFSAyV+hgWOzKUABClCAAo4KMPk7KsdyFKAABShAAYUKMPkrNHBsNgUoQAEKUMBRASZ/R+VYjgIUoAAFKKBQASZ/hQaOzaYABShAAQo4KsDk76gcy1GAAhSgAAUUKsDkr9DAsdkUoAAFKEABRwWY/B2VYzkKUIACFKCAQgWY/BUaODabAhSgAAUo4KgAk7+jcixHAQpQgAIUUKgAk79CA8dmU4ACFKAABRwVYPJ3VI7lKEABClCAAgoVYPJXaODYbApQgAIUoICjAkz+jsqxHAUoQAEKUEChAkz+Cg0cm00BClCAAhRwVIDJ31E5lqMABShAAQooVIDJX6GBY7MpQAEKUIACjgow+Tsqx3IUoAAFKEABhQow+Ss0cGw2BShAAQpQwFEBJn9H5ViOAhSgAAUooFABJn+FBo7NpgAFKEABCjgqwOTvqBzLUYACFKAABRQqwOSv0MCx2RSgAAUoQAFHBZj8HZVjOQpQgAIUoIBCBZj8FRo4NpsCFKAABSjgqACTv6NyLEcBClCAAhRQqACTv0IDx2ZTgAIUcLeASqVy9yq5PhcJMPm7CJbVUoACFKAABeQqwOQv18iwXRSgAAUoQAEXCTD5uwiW1VKAAhSgAAXkKsDkL9fIsF0UoAAFKEABFwkw+bsIltVSgAIUoAAF5CrA5C/XyLBdFKAABShAARcJMPm7CJbVUoACFKAABeQqwOT//+3dCXhU5dn/8d+EoVhlqzXaBFBaUJCwVaWKxZdQEHzVf0VpoqKAVQELFVEExbrEpaLggktCUaGoFDURxQVaNgkVFURbQUIIIkXI8r7GV0MSrTTL87/OLJnJZBImy0nOJF+ui2vOzJzzPPfzuU/mPnO2cWpmiAsBBBBAAAGbBCj+NsHSLAIIIIAAAk4VoPg7NTPEhQACCCCAgE0CFH+bYGkWAQQQQAABpwpQ/J2aGeJCAAEEEEDAJgGKv02wNIsAAggggIBTBSj+Ts0McSGAAAIIIGCTAMXfJliaRQABBBBAwKkCFH+nZoa4EEAAAQQQsEmA4m8TLM0igAACCCDgVAGKv1MzQ1wIIIAAAgjYJEDxtwmWZhFAAAEEEHCqAMXfqZkhLgQQQAABBGwSoPjbBEuzCCCAAAIIOFWA4u/UzBAXAggggAACNgm4bWqXZhFAAAEEokCgqKhIq1atUmZmpg4cOOCJeOHChRo8eHAURE+IDRVwGWNMQxdmOQQQQACB6BVYtmyZZs6c6Sn0Y8eOrSr4VuHv2rVr1cBcLpesUuF/rHqDiagVoPhHbeoIHAEEEGi4wCeffKLExETPt37rsa5//qLvf6xrXt6LDgGO+UdHnogSAQQQaFIBa1f/Nddc49kAaNKGaSwqBCj+UZEmgkQAAQSaXiB4137Tt06LThag+Ds5O8SGAAIIIICADQIUfxtQaRIBBBBAAAEnC1D8nZwdYkMAAQQQQMAGAYq/Dag0iQACCCCAgJMFKP5Ozg6xIYAAAgggYIMAxd8GVJpEAAEEEEDAyQIUfydnh9gQQAABBBCwQYDibwMqTSKAAAIIIOBkAYq/k7NDbAgggAACCNggQPG3AZUmEUAAAQQQcLIAxd/J2SE2BBBAAAEEbBCg+NuASpMIIIAAAgg4WYDi7+TsEBsCCCCAAAI2CFD8bUClSQQQQAABBJwsQPF3cnaIDQEEEEAAARsEKP42oNIkAggggAACThag+Ds5O8SGAAIIIICADQIUfxtQaRIBBBBAAAEnC1D8nZwdYkMAAQQQQMAGAYq/Dag0iQACCCCAgJMFKP5Ozg6xIYAAAgggYIMAxd8GVJpEAAEEEEDAyQIUfydnh9gQQAABBBCwQYDibwMqTSKAAAIIIOBkAYq/k7NDbAgggAACCNggQPG3AZUmEUAAAQQQcLIAxd/J2SE2BBBAAAEEbBCg+NuASpMIIIAAAgg4WYDi7+TsEBsCCCCAAAI2CFD8bUClSQQQQAABBJwsQPF3cnaIDQEEEEAAARsEKP42oNIkAggggAACThag+Ds5O8SGAAIIIICADQIUfxtQaRIBBBBAAAEnC1D8nZwdYkMAAQQQQMAGAYq/Dag0iQACCCCAgJMFKP5Ozg6xIYAAAgggYIMAxd8GVJpEAAEEEEDAyQJuJwdHbAggELnAgQMHtGrVKmVmZqqoqKhqQes5/xBAAIFgAYp/sAbTCESpwLJlyzRz5kyNHTvW879nz57q2rWrBg8eHKUjImwEELBTgOJvpy5tI9BMAlbht771JyYmNlOPdIMAAtEswDH/aM4esSPgEzh8+DCFn7UBAQQiFqD4R0zFjAgggAACCLQOAYp/68gjo0AAAQQQQCBiAYp/xFTMiAACCCCAQOsQoPi3jjwyCgQQQAABBCIWoPhHTMWMCCCAAAIItA4Bin/ryCOjQAABBBBAIGIBin/EVMyIAAIIIIBA6xCg+LeOPDIKBBBAAAEEIhag+EdMxYwIIIAAAgi0DgGKf+vII6NAAAEEEEAgYgGKf8RUzIgAAggggEDrEKD4t448MgoEEEAAAQQiFqD4R0zFjAgggAACCLQOAYp/68gjo0AAAQQQQCBiAYp/xFTMiAACCLQegaKiotYzGEZSbwF3vZdgAQQQcJRASkqKhg8f7qiYCMbZApmZmVq2bJmsR/61TQGKf9vMO6OOUgH/h/Unn3yiAwcOaNWqVZ6R+B+jdFiEbaOA9Q3fv7741xnrceHChRo8eLCNPdO0kwVcxhjj5ACJDQEEAgKJiYmeJz179pT13/rwHjt2bGAGphAIEbAK/8yZM9W1a1fP+tKQdcblcskqFf7HkC54GoUCFP8oTBohI4AAAs0p4C/6/sfm7Ju+7BHghD97XGkVAQQQQAABxwpQ/B2bGgJDAAEEEEDAHgGKvz2utIoAAggggIBjBSj+jk0NgSGAAAIIIGCPAMXfHldaRQABBBBAwLECFH/HpobAEEAAAQQQsEeA4m+PK60igAACCCDgWAGKv2NTQ2AIIIAAAgjYI0Dxt8eVVhFAAAEEEHCsAMXfsakhMAQQQAABBOwRoPjb40qrCCCAAAIIOFaA4u/Y1BAYAggggAAC9ghQ/O1xpVUEEEAAAQQcK0Dxd2xqCAwBBBBAAAF7BCj+9rjSKgIIIIAAAo4VoPg7NjUEhgACCCCAgD0CFH97XGkVAQQQQAABxwpQ/B2bGgJDAAEEEEDAHgGKvz2utIpAswm4XK5m64uOEECgdQhQ/FtHHhkFAggggAACEQtQ/COmYkYEEEAAAQRahwDFv3XkkVEggAACCCAQsQDFP2IqZkTA2QIc+3d2fogOAScJUPydlA1iQQABBBBAoBkEKP7NgEwXCCCAAAIIOEmA4u+kbBALAggggAACzSBA8W8GZLpAAAEEEEDASQIUfydlg1gQQAABBBBoBgGKfzMg0wUCCCCAAAJOEqD4OykbxIIAAggggEAzCFD8mwGZLhBAAAEEEHCSAMXfSdkgFgQQQAABBJpBgOLfDMh0gQACCCCAgJMEKP5OygaxIIAAAggg0AwCFP9mQKYLBBBAAAEEnCRA8XdSNogFAQQQQACBZhCg+DcDMl0ggAACCCDgJAGKv5OyQSwIIIAAAgg0gwDFvxmQ6QIBBBBAAAEnCVD8nZQNYkEAAQQQQKAZBCj+zYBMFwgggAACCDhJgOLvpGwQCwIIIIAAAs0gQPFvBmS6QMBuAZfLZXcXtI8AAq1IgOLfipLJUBBAAAEEEIhEgOIfiRLzIIAAAggg0IoEKP6tKJkMBQEEEEAAgUgEKP6RKDEPAggggAACrUiA4t+KkslQEEAAAQQQiESA4h+JEvMggAACCCDQigQo/q0omQwFAQQQQACBSAQo/pEoMQ8CCCCAAAKtSIDi34qSyVAQQAABBBCIRIDiH4kS8yCAAAIIINCKBCj+rSiZDAUBBBBAAIFIBCj+kSgxDwIIIIAAAq1IgOLfipLJUBBAAAEEEIhEgOIfiRLzIIAAAggg0IoEKP6tKJkMBQEEEEAAgUgEKP6RKDEPAggggAACrUiA4t+KkslQEEAAAQQQiESA4h+JEvMggAACCCDQigQo/q0omQwFAQQQQACBSAQo/pEoMQ8CCCCAAAKtSIDi34qSyVAQQAABBBCIRIDiH4kS8yCAAAIIINCKBNytaCwMBYE2JeByudrUeBksAgg0nQDf/JvOkpYQQAABBBCICgGKf1SkiSARQAABBBBoOgGKf9NZ0hICLS7AoYAWTwEBIBAVAhT/qEgTQSKAAAIIINB0AhT/prOkJQQQQAABBKJCgOIfFWkiSAQQQAABBJpOgOLfdJa0hAACCCCAQFQIUPyjIk0EiQACCCCAQNMJUPybzpKWEEAAAQQQiAoBin9UpIkgEUAAAQQQaDoBin/TWdISAggggAACUSFA8Y+KNBEkAggggAACTSdA8W86S1pCAAEEEEAgKgQo/lGRJoJEAAEEEECg6QQo/k1nSUsIIIAAAghEhQDFPyrSRJAIIIAAAgg0nQDFv+ksaQkBBBBAAIGoEKD4R0WaCBIBBBBAAIGmE6D4N50lLSGAAAIIIBAVAu6oiNKhQbpcLodGRlhtSWDy5MlKSkpSWlqaVq1aJdbLtpR9+8dqrV/r1q1TXl6enn76aZ1zzjnatm2b/R0bV7JOAAAgAElEQVTTQ8QCxpiI5/XP6DINWcq/NI8IIIAAAgggEHUC7PaPupQRMAIIIIAAAo0ToPg3zo+lEUAAAQQQiDoBin/UpYyAEUAAAQQQaJwAxb9xfiyNAAIIIIBA1AlQ/KMuZQSMAAIIIIBA4wQo/o3zY2kEEEAAAQSiToDiH3UpI2AEEEAAAQQaJ0Dxb5wfSyOAAAIIIBB1AhT/qEsZASOAAAIIINA4AYp/4/xYGgEEEEAAgagToPhHXcoIGAEEEEAAgcYJUPwb58fSCCCAAAIIRJ0AxT/qUkbACCCAAAIINE6A4t84P5ZGAAEEEEAg6gQo/lGXMgJGAAEEEECgcQIU/8b5sTQCCCCAAAJRJ0Dxj7qUETACCCCAAAKNE6D4N86PpRFAAAEEEIg6AYp/1KWMgBFAAAEEEGicAMW/cX4sjQACCCCAQNQJUPyjLmUEjAACCCCAQOMEKP6N82NpBBBAAAEEok6A4h91KSNgBBBAAAEEGifgbtzibXtpl8vVtgEYPQIIIIBAiwsYY+odA8W/3mTVF2gIevUWAs+sjYmmaq8p2/JH2NRtOrk9J8dm5YP4/Gtlwx6d7Ofk2Fj3Gra+BS/V1PkNbrs+0+z2r48W8yKAAAIIINAKBCj+rSCJDAEBBBBAAIH6CFD866PFvAgggAACCLQCAYp/K0giQ0AAAQQQQKA+AhT/+mjZPG9TnexnV5jE13BZ7BpuZy2JX8P9sGu4XTSsew0dHcW/oXIshwACCCCAQJQKuIzTNwujFJawEUAAAQQQcKoA3/ydmhniQgABBBBAwCYBir9NsDSLAAIIIICAUwUo/hFlplyl28brvPZzlXa4svoSlVnavmiERrhcnruuuVxjNOKp15WR+5/q8zXLswLtWTNdc85r740lfpKSV+eosFn6jryTyryXtHRmvM8rXife8nwLefliPpym2+L9+QvzGH9HzbxHPtwmm9NxbjVGVqy9i3v78hrsGK/4Z/eovMb8LfRC5Xa9Nqmj2s95RwUtFELYbksytfa+BMX7PkvaT3xMT+4+HHbWZn2xJFPrngr+jBughPv+qsySkM/CZg2qrs5y9dGDPZyVX0fVCa8dxb+udcjzXrlKs+5Qyi2rtSU29F7+3yrv1d/q3BVDNPCDPJUZo4rcK/X/3p+g8U9uaeYPlm+Vl36JBszrrGOf+cpzdrTJnaWpG0cp4aFtztkAKH1JCy66QU/88gOPlzGf6Z/npGr8lU8ro7SFPky6TNPD+cZrZvyPZSrZeqUSdZGSXp+jaV1a9k+lMjdF1/Vap4+nZHvjLH5RaZVzlXzdcmW2EFvNP51CHcr5RnHPZPty67fMV/7kvnLGvcStv9np+v0L39YMvyVfsTZIpl2iCUX3aUVxhYzJ164L1+j1hKuUvK2o5SKz4vr9xbpo+280JfeIZ92ryJ2l67KTdP7MVdrpmHXPT1SgPYsm6PY3/sf/ggMenVQngjisE/74V4tAxS7zYdpI0+/ed8yHf+plFDfXpBZVBGau2GCeG9HBxD2TbcoCr5qK7GlmpPv26vMGvW/LZFGqme12h41ltJLMtOx/29Jt/RotM4fXjTTuUBtP7ANM4trC+jVn59wlK8zDQzuY2HlbzZd29hNR2/vMxlmdjXv2RpMfPL/T3JwWT7CVZ7rMlGTNMFd1OMMM+4W7pmeN+ZvrhVr+Lio2mCUjWzZO67NstM6s8bdZ2+vNJRaun4rcFWbxhCEm6f3MFnerFp+T6kRQYC37dSZoI8R5k8XKeXacLto/R+l3DlWXcAGW5Cjn3dPU55QTqn2riYlL0BlarYxtX4dbypbXKguytKN8UNhYBrlf1+vvHnDObtewAtnK+eIrh8SYq4+enKPbDtyilN8NUWzYeJvxxcNr9bcnTtGwUQMVF9xtl2maX7ZTm0afEPxqi01718G+6ndyxxaLoc6OSzOUOn6ZPv3z3ZrYqc45m/lNtzqfv0FlZfNafA9T6MBj+qZqrfmolnUs3zl/s5UbtWTIPKVPeF0vn+2YA0xeTgfVieD8UvyDNapNH6v4YWuVtWC0EmLCH7/3ftj9oNpSgSfOKWau2HIVfpbvgF3/bnUeep0eSEjT4nWHfIX+W+VvW61lP3pQT1x5WrWNqIBl805V5j6nRfccq4FPTNWUFt7db428qqh2Phh07NVpx13LVXooR++4j9EJL50ZdNx6gVLez3fARp13g+7OM/+sN5I6ql3zrlL1760yS1sfnqGpmyfrDzOGVd/oq39rNi0xTJee19MRf7OKGahz17+nDed3k9OKmlPrhNOcbFpJG9KsW50STqnjW5/3w+7ThjRtwzLW3oZB7pobKdaK94mTzmrqeKVmv3y1fpLcU+09JzZ1VLcxxynp7zcqqaMTVsdi7Vu9XEtjx2nq6B4O+GDzr2f7lfHrWZrfd7nWe85LWKeVsbfrghmvO+S463f6n/0HVD6sl06a8k/le2Is0zdzv1Xx2Ks0viWPW8s6YXeOLlw4QyueGKueTljNav0M8J002a6/ht4Ro9PuG6+k+Nq+YNTaiL1vVG7XqnnP651rr9DU046xt6+IW49VQoKjduf4Ivf//UY8kGab0dF/Bs2m0Bo66jJJN/3lGG25/2ml5Xk3AirzlumRO9/Ud79wxqlW8nwIj9fwAd+rd1aR7wS7MpVkxenw4N9puhPObK7crndfyVXsjEuU5IBv/YFVM1/uPy7S387v5tsgiVPf8VM1Y/m9umnDV4HZWmyqs06buk9m0z2a1s1frNzqePoEXTzxH8q4+7UWOzGxMvcB3TTsGyW+NdkhG5h1Jcnn6Dl5eLJ+vWaEBk9+zSEbeFbcBdqz+Hpdvv9WPXHfxRpIBakrmY5+j9Q1OD1udezRRwMavHxTL3icuiW/oV237dW2IR3kcsXrJ4+69NPHXtQ1x7VT7KnxdezFaOpYamvvC32YsVpbb75Kd/bzn0XhVsd+M3Tt71/TM8s+buYrJGrGWbn3NaVv+rWSxg5ygFdwfPE1zudQpz7qc95e5xx3DQ63ajpW3U+NlT7dp90tcWmY9S117uN66/4UpZ7dtSqqaJiI6TZNc+8ertilL2vx3u8dELJ1Jv0FGjDjLE1ZfHPQRp4DQnNsCE6rEwEoin/Aot5Tte1q9zZ0es0P63r3UN8F4tTn4hV63nPZWr6+fGySkrrsDntSYn1bbpL5D6/V2hXFYZryFojy5Rv0euh9FMLMbd9Lxdq3ea3WxfVWQpz/26t9vUXWsludf3GZrg5zSCey5dv2XJV7l2nx8mIVzj1HJ/rvxdFulK7bWK7yBSMV70rW9D1OKKx15Wm/dh8srWsG+9+zzkGYN8pb+Hc8ptSqjXf7u472HpxXJ7yiFP/GrFm1fPOqOkGrOc96rtyo54b8WCPWVd8FbMXyD+ta9bOPb8xIm2bZLmM0ZnznMG0VKvezQrmvHqVLW3JXe+V2bcn4ouXjCBXqNETnjN+vLRt2Vt8z4jmLeISGDfxJy5+bULlRS0e1D3NjlZbNrfdsdf/9BnyPFRu0ZKRb7tkblW/Sldq3pY9b+47z13IzqUL3+S3691uZ96TmDh+soesu0R92UvhD/zyP+txJdSI42KDL/pisVeCwyQl3nb8pNbmvDDFu97VmWlaRZ+mK3D+bR684rgWuIfbFmJhiUnOP+GJZYZ6b3ssMTD9Q7T4EtQ7T9je811lfEneTmbY623f9vPe1Ce4LTNLWb2yPoM4OarlXQp3LNMubZaZk65UmURcFjCp2mQ8e7Gc6XPOq2RF064lmCSdsJ94YhwX9LRjjv67+BnPPIe86GXbR5n7RAdfP1xhyyQrz0KDOpt+inVX3lajIfcLMCXmtxnJ2v1Cywswf5jaKm+6sHNY1bsfl10l1IgDHN//gLaF6Tx+nbv89X6sf26/dCV09tzVt1/1RLTn9z1rR7JfndNZpk9/Qh8mZyuhuHfN3qd3Vn2jn1X/Xx0mntPw3Q4+tdXz/US1ff5oGr/uVbzdse/3ooVN01o6XlR5lx2Trvbo0eAG3Op79gt7KGqkzF3b33j633RW6ruwR/e3JSx1y0pUV47N6ZXMPnXx/N98tfk/Wz54boHM/fkgp3Z1yGKXBSbB3QesqmLefU8qXV2iQ7/BEu6vzVPrgNmXeMKCFzj8p1t6/3KU5W8qlglTd28P7uWJ9tvj/O+4WyfZmqYGtO6lOBIbAT/oGLJhCAAEEEECgTQjwzb9NpJlBIoAAAgggEBCg+AcsmEIAAQQQQKBNCFD820SaGSQCCCCAAAIBAYp/wIIpBBBAAAEE2oQAxb9NpJlBIoAAAgggEBCg+AcsmEKg6QRKMrX2+WRNig+6LGriAt31RnbQryvWfXOXpgumjpZqvTlPHctE8Fblnuka06i750Vm4+3nrKCbWxUo5+VRGuG5HC1e8c/u1uHdj+u2UUsj+m0Bq734+GcjmjcCBmZBwLECFH/HpobAolOgXKXZKZoz5gJN2HGRLv7wiO8HjPK1K/mf+uI3A5Xw0LagDYAWHmXMSF27oUxl83/l0J+Nrdsn9PfmK/c8oBlX/q++Tj+gMpOv/Mkd9PHSFM2P6Dd8y1V68HO1u/c8DeOTsW543o16AVbxqE8hA3CUQGmGFk35ox4/fYU2PDJJSVU3t7F+d+EFpW1JUsLc6UoOuQ2zo8YQ9cF00PFdjmvAja2+0IcvFerXTvmN+qjPAwNwsgDF38nZIbYoEyhX8QdL9PiWSzVl9oVh7rznVschf9AD949VUrf2QWPLU2bGFYFDBPGTlLw6p/regcosbV80wrc72yXXiNs0fc2ewDyH0zSnfXvFz0vXX+9LULxvt/eJtzyvjNwvlfP2+Kr2209M1Uu+n31WuN3+IX21n/iYnqz2c8vfKv/9FD18ZceqO73ViCdodOEny1WalaZnZ8YfpY26bQK7/XO1d3FvtTs9Tev0sTLHxMoVf6muSh6okY8WS+uu04h2wYcHwkR1eK3e3HCDksL+Rn25iteP8vwQ0A1r3tRjVWMfoxGLtiqr0teePw+L1uv9eaF58P7UtvS53rm1i1xjHtKLbwbyYhnetDXXc5iiyjZ+ksa/X6DyMOHyEgKNEaD4N0aPZRGoJvCFPlq7XQV1/SpgTIJ+eeedmpbg/0lj6yfS1ytz9+X6bU6FjClV3rKvVHjxLE3fVuRtvXK7Xvvt2Tr3g99oSq51GKFMJanfq+SSSzQq44uqwuCKLVfBHUs0/7SV2uH5Pfjbdd3265XcY6Qu+3Sa5uQamZLVWlR2mybe/Xb434j39fWL9KEavrtIxuTr06HPa9aguUrJtYpXuUq3Tdblw/drx42fqcxYP5ZTqry5u7T7olsDMVdzCfOkNEOpV83Vwr5r9WW1Nu5WSvCv7B3NpqrpY3Ta1H2qyJ6m0TpTiWsLZfJf11/Sd2rjrM7S6CXaVPGRNo0+oWqJ6hPlKt72pl6/+2i7/DO0+PqV+sgz9jKV7B6qIS8masT8wKEcTx6m3aLJWqz1FUam+EWlVc5V8oRUZZT6txIkrXtSszLHefNesUMbznxRTw7toRMe+oFOfuRrj332XZ8oY/j9esBjXz1iniHQKIHAbf6ZQgCBRgn4flBEo5eYTRH92E4tPxhVscE8N6KDiXsm25SZMnN43UgTpyQzLfvfQeF5X3e7bzepRRXGFKWaOXEK+UGpfWbjrM6mejwhfYb8CEpF9jQzWmeaxLWFgb6CfvCownjbdM/eaPIDcxhTLWZjvO2ExhxY4GjvGxMSp3/RsP0E4q0ZfzgDf2PBj/vMhhu7Vx938NtVeegf8kNZteTh2pXVf3DJYzjA174vpri53tx5+gmf55rjqRYUTxBosADf/Bu16cTCCNgj4IqpUOFn+SpWbXsT3OrYo49+Vb5eGdu+bqIg/q19m9dqnX6mfsE/R91lmuaXlSl/cl/FqJd+9chhlc0/XUWvPaCUlBQtXXqD5gy/QNdvivxno2O6D9OoYa/rmaVvKXPlQ0rLOhzxGPw2hREvEcGMlQe0//XxEfx07ukaNuCkoPMJaubBFLoVe04/9Qv+dO3UR32HZ3t+lrmpshXBqJgFgVoFglfPWmfiDQQQiEAgpqd6Dj5W+nSfdpcE7d6NYNGjzlIwT9O7tgscH7d+tdFzfDuwpKfonBpv8y/Alat0902aFB+vfuPe1eYfn6qDBxPUM+1tLRlZ6NlgiagoW79it2a93ui7UWsW3qXp/a1fxRyjEU+tU2ZT2wWIap2q3Pua7rt0tC7t0tCPxHzlfPGVjpb18h0HtLOyozeOAb3Vr1ND+6t1KLyBQEQCrHkRMTETApEInKKzxgxRXME+ZRX4T+6quVxlboYeeM263t9d883aXvEcs7aOr4f+r+s4dm2NNeL1ys1Kn5GmFf+9Ujsq1mrTjVcpJeVGTTv5c+XsrudpaZ0SdeG1f9L8d8tkKnZp64tddPK8MTr//kwVKPiEyEbEG9Gixfps01b1vnhQIy53jFefU07Q0T5Q3YN6amBMaURRMRMCdgocbV21s2/aRqCVCbjVeeh1utnanb1gTZgT6rzfmq/56Z3KqDhWP646Va92hiP6qWeDwv3OR8rMD96gsE68G68RjbqRTmi/P1Tv4WM0Wvu1+2BQgfJdEeAas1RZh3O0Z7Nq7NauLPlSX4U2V5/nMQk6++p5mjS+s6xvxzmVrvos3bh5K7fr7w+OimCXv9VNiI11AuShHL3jPr9qeeuEP+uQTbU9ICWW2+kaNmqgIj840rhhsTQCdQlQ/OvS4T0E6ivQMUm/WzxNV75wuUbdal1m5y/YBcp5e6KmDUrT32Y+pRXjTjnqt0Rv1zHqPHKeXhn/gv54x7O+S/SsGwk9oPtufk1Z82Yppe8x9Y2y1vljTpuqObPylTkvVWmeywG/Vf6Gx/TixjFKuu8yJfxojC646VgVrHhFz/guF6zMW6aFsx/R0oJam63xhvcSvTEa8bL/ckVrTC9qzQZp4PUj9V8xfrcai9bzhVh1PzXWt8z3KiwMs3eiJEefKtJd8B8rc95jSsm2zlGwNuZm6fcXHlK/FTdoStAhg/IFD2u8f2yla/TcDXP0+MQUPTGqtqsN6jksZkegkQIU/0YCsjgC1QXc6tjvCS371wql/nSZ0np08B2nj1f/9J/rlFd3KmvBaCXU5y8vZogue/ptrR7yqp7pbrXXXp1G/ksHpm3WpjlnN+0x/piBGjl/vT5MzlSGp6+O6javvwZ+8IxWnN1VUi8l3vwnLRm0WNM977vUYW6hvrlipVZal9RF+C+m73z9+b2huuCNs3Si554E3jEdvHVdPTaMIumss3pfPEO3fzdVI9r9TINW7QvZ3xLpJX7+vkYr8bKe+uF93bx5GFWk71e9qQ1Jp1QdxPGce3HzpZq6d5wGWWPrdJsePz1D6xeODXPvB3+7PCLQvAIu6zqB5u2S3hBAAIFoE7Bu8nOB+o4+Xpdmv6DU2va2WDf5OeEmLU/7VAcn963aIIi20RJv6xeoz/eP1q/BCBFAAAEEEGgDAhT/NpBkhogAAggggECwALv9gzWYRgABBBBAoA0I8M2/DSSZISKAAAIIIBAsQPEP1mAaAQQQQACBNiBA8W8DSWaICCCAAAIIBAtQ/IM1mEYAAQQQQKANCFD820CSGSICCCCAAALBAhT/YA2mEUAAAQQQaAMCFP82kGSGiAACCCCAQLAAxT9Yg2kEEEAAAQTagADFvw0kmSEigAACCCAQLEDxD9ZgGgEEEEAAgTYgQPFvA0lmiAgggAACCAQLUPyDNZhGAAEEEECgDQhQ/NtAkhkiAggggAACwQIU/2ANphFAAAEEEGgDAhT/NpBkhogAAggggECwAMU/WINpBBBAAAEE2oAAxb8NJJkhIoAAAgggECxA8Q/WYBoBBBBAAIE2IEDxbwNJZogIIIAAAggEC1D8gzWYRgABBBBAoA0IUPzbQJIZIgIIIIAAAsECFP9gDaYRQAABBBBoAwIU/zaQZIaIAAIIIIBAsADFP1iDaQRaVKBAOzN2q9AfQ8kWZew87H/Go+0C5Sr55E1lllTa3hMdINDSAhT/ls4A/QcJHFFB+plyuVxyuXorIeOQpALtWTNdc85r73vdpfYTFyjl/XyVBy3p/MlCffTQiXL1fkQZYQO33h+kQW/v0ZfWYMozND92lFJyihs+tMNpmtN+nKbv+d7bRujziFoOjrv0KGOIqMFaZrKrH986Vat7IJzybeP185+vaYbi/w+tvPoYHTP/Ix0JdB9myjuf9+/hBqXkh11xwizHSwgcXYDif3Qj5mhugV4LlF62T1lJxysv/RINuKREuQ8fVJkxMiZfuy5cq82/nKLx24qaO7Io6q9cxR++pseHX6Sk046xtiZCnkfRUBoVagfFJX8ss+9WJbkb1VATLnyGxi3/Xt/POUsd6mzVmu+w8l85o865eBOBhghQ/BuixjLNJJCjrW/uVPn4sfrDuXHyfnbHqU/yXE0YuVavr/yHCjyRFCjn7fGaFG/tMXDJFT9JyatzvLvPyzP0SG9XtW9Z5duS1ds1QsnbSuWfHjfuRO+yY5Yqs+yQti8aoRGePRDWnoZUvZT3H++YK7O0dV6C4qvee0xP7vbvmvd9U5v0mrJqE/ruU+2637/8ACXc91dllhTpo4cSNGRuofTCOPW32m6frNuOHNHu5JM9sX/viXmMxt15ni+ueJ14y8rAt9T8FE2q2ltidf6dCvbnKvbyczXM81ceeP5fyqo2vmpeKldpdkpgT8uIe/Xyju9CRlOu8l2P6+ErO8rlGqMRi7Yqy7On/Fvlf3BLYFmXf3zhdqM3pp+QcMLsHXKNuE03bc1Xhap/86/Me0lLZ8YH7UXy5s9aD/qek6HPtVj3djvfs26E9qKSjXq1all/LrzrkbVxVbrbb2Kth3WNPfDNv7w8Qwu6tdeJtwSb36GUbP86VSMKXkCgaQQM/xBwjMD3Jv+VM4x6LTDpZVZQh03On3oZxU00SW/vMV+GjbPU5L4yxMRptBm5LtdUmFKTt/ZCk6j+ZmD6AVNRlm4W9JLp8PB2871v+bKtSaaXEk3S1hLjnZZxX7vS7Kj4xny86TNz0NPeRSZp6zfGlKww84e5jUYvMZsq/s9s/2N3o8QUk5p7xBiTb7LTBhq3+3fmnkPW87r+fWm2z4s1Un/T78F3za6KClOy9UqTqDNN4tpCY4zv/YkrzS6rmbJ083CHDqZf+kFPo/44/X1X5D5hbh/m9sUdpt+KDebZs473tW2MqXr+v+bwupEmTr7x+cYQpyQzLfvfxhSlmtlut4m9da3ZVXHEZylfTkp8Y4gLed9n7V923lbzpakwJVkzzAS328Q9k2086QwO0z9vA/oJbasie5oZ7cu/9Z7fxpuzsqB16n/NxlmdjRIfM+klFcaUrDbPXnGcL7fGty5MNffkhfZgBb7Pt6w391V9+NajikP3mGur3AIxeNer4IFb0x+bV6/q4Fkny3zrp/zrb8UOs2FWnFHcdN865fubUG1xhbbNcwQiE1BkszEXAs0hEFr8jTHFG0zGTXFGkvd/4hwz7bkXTOquIm9AFRvMkpFu45690eRXhej7oB69xOw4Eknx9xdgb5G02pO/CFe1aXyFcUCgoFrvlaWb+fG1FLjgZf3FPW6uSS2q8L4TtGFS5n/f32/Y4h8UpynzFXFf0a7WlzFWQRzpvr2qr8DzI95iWFVcghf0+QfH6C96ng0yX/EP9/7oJWb3wXvMRN9GV7jyGeipcf1s8vEF2gud8m1IeWIOLv77PUU3fEE+SvHPs8YWzt/aiPzSt5EalNs681Oz+Fdbf30bRtZGU7mh+Idml+dNI8Bu/6bZgUIrdgl0GqnfLMyXqdil9568Ry9d9qF2Xz9R0/sna9T6PFVWfq3/y5ZiT41XbFUM3XX6L3pLn3+tnHB7nKvm8090UmwX67i4pMqv9fWBcnVIOFm9/W/7Hsv3ZOq18k+VOSa2arextXt+Tn65vv6mVBUh84d9euzxij2uoX92Z2l4/66+Zt3q2KOPBqhQhYdDTwQr1r7Na7X55vN1aRerr+DnP9BJv5yk23st1r09OsjaPT59SYYycq3DGsXK239IGtBb/Tr5Y/RZBg/m/LM03NOu9WKsup8a67HeddK1mjjr/7QzuafaW4cDnvqLHngv3ImZjeunMFxOSzK1KiVFjz56l56dOch7CCU4Zs90Nw2dOFLDlo7ToHbWYZM/KeWp932HLGrMXO2F8kO79Z5+pn4nd/S97lbnhGE63/OsXMXfFIe4+d8Pl59qTasyt4NOG3Kq4vwvd+qjvsPlWadCM+ufhUcEGivg/wtvbDssj4C9AjEJOvfGFF1x4yZtqvhQKye+p42/e0krm/3TMVFJW0usPWbV/h/95C17eaq3XqhDWUc0bNRAX0Gp/jym2wzNe7dIee/O14vX/EuldyUrucdlSt7muyqgemORP4s5WSMfyVfFoXQ99/QgXfD+VN017CzFP7QtcPli5K1FPGdlboqu6zNCSfuPU5G6Ki/xVW2YF9gUDDT0A8WPXq1Nng3JKXqy61N6ZsYv1X/k48ooDbdFEViSKQRamwDFv7VltDWNx3NpWnvFP7un+mV9MQM19KI+3pHG9NaPT5cKP8sPKjC5yv5wn9TrePWpsYaX67virxV6ClsVW8zxOr6nW0eyDmpf1YveCXffRF3m3qItO3OrxxMyn31PP9LmXf4rHMpVeihHn6qP+vXw7bXwd3x4rdYu+kXgW2roc898xyl+2GxdPSldzx9M14Jeq/Xm5jyd+LMe0qf7tLvqWnefpb9t63H9R9p82F8sC5X7WaH0y5+pn+9s+pjuSbpu+nzd9tK/tH1euQqfe1eZ1TbSOqtbE/TjDalY+1Yv19JjF2jF0tm6f9YspYw9Sa6v6riIzr8heXeWDm5NUq/MN5WRVesa4ekmpkusemm/dh8s9UmUqzhri9Z7nrsUGVUAAARySURBVLnV+UedQ9z878cqtkvdlxnEdD+ivds/8528KqkkR3s2n6hePz3pKFcD+ELhAYEGCNT4aGxAGyyCgD0CXX6t5Ht/ooJ75mm8/+x9z9no8/T4wizFXn+eEn/QT2Om/FyxCx7WBOswgL5V/roZuv/RkzXw+pHq/4MzdMbYzjry19VakvcfVeYt13NLtwY+aEMjjznH017cC0t1r3UpYeVObbw1Xq74O5Smy33xLNBNnjP8v1X+e7/VxPYDNWLdV6EtNez5/xTJv1vb9eMKfVP0bdCGxsfasvwVz5UHlXlpmnffZhXOTtbU+ODiEnpJX+jzYu1d3Fuu+Os03TOGcpXu3aKdXwzQ0MG9dfKY6zS7cIFSHtigrMr/KP+9B/T8ipB7DRS8pdSXslSoIz7rU5V41X/p9D3TNcY6y/1Pn3o3xEq365Md38l92RkaFhyiOiiuEf0khJP9LluZe60z5AuU8/JU3f9oSMzWMpX/1NJR7dV+4vPa6Nm4KdC+f+ToC/c5Sux7rK/Vr1VYXG1LxfN6TN9bdNusz5Q5L1VpNdajH6r3RVfr2io3qSo/116hqZ5LLcMFHXitfPnzmvV+gSqt9e3+B7QgdpKmj+4WmIEpBJpaoGlOHaAVBJpCIMwJfxW7zNYXk8zEON8Jf9aJf9bZ/y9uNbuqTvzKN3veujIwT8jVARW5fzaPWmd1+5adtizJjK92tr/3zP+qEVTsMh+mJZrEqpMM55p7dvtOMCzeZP52bz8T53+vWl/eE7nCnizoP6Gv6koG78mCgSsRyj1nx3vHaZ3Z/ZXnSgJPPxNXmi88Vyj0N/2mjPPF1d/0u3eN2VTsQ/CckNbL9Ev/0Gy4+figM+z3hTy3TqIMGYNGm8S0D3yeZaYk6zHzkN8rcbqZZU0Hn/CXeIt50H8SZrXxh+RBcSb25mUm3XMlRKhNY/oJOQmu2kmhVp+LzEueHFknQ5YEne1vXYEQNDYrh4lzzIwP8rxXI/jP/pfluN+7XPBZ9tX6GW0u+8Mwk+hbj4wJGY91VUfY/FhXb4Q54W/CzeZm66oSybgnPGqeyPKtb5zwV/VnyUTTCris5pp6g4L2EGiYgHVN9rmKv+NKpe9x0k1ZGjaaplzKex16oc7Y+pbSz/afdNaUPdBWfQW8OZHGZL+g1L4hh17qaqxyo5aOvkDTRn+g0lv+pYV9k3XnlO06HPamP76/icuH6J68p5VSbS9PXZ3wHgJ1C7Dbv24f3kUAAQQk3/knJ/pPXixdo2UL1+jz0Rf47qBYD6SgY/rVjobUowlmRaCxAhT/xgqyfNMLfD5bye399/Zv+uZpEYF6C3SZpJl/v1HXrB6mE607MHa6XnfEpSp9ydVKjPhTtFzF60cpvut0LRg2RdPPPekoYVh3Auyi+Mv/cZT5eBuB+guw27/+ZiyBAAIIIIBAVAtEvM0a1aMkeAQQQAABBBCoEqD4V1EwgQACCCCAQNsQoPi3jTwzSgQQQAABBKoEKP5VFEwggAACCCDQNgT+P5/ZlMUMA4iHAAAAAElFTkSuQmCC"></p>
<div class="marks">[3]</div>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>When the product <strong>X</strong> is reacted with NaOH in a hot alcoholic solution, C<sub>2</sub>H<sub>3</sub>Cl is formed. State the role of the reactant NaOH other than as a nucleophile.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Chloroethene, <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{{\text{C}}_{\text{2}}}{{\text{H}}_{\text{3}}}{\text{Cl}}">
  <mrow>
    <msub>
      <mrow>
        <mtext>C</mtext>
      </mrow>
      <mrow>
        <mtext>2</mtext>
      </mrow>
    </msub>
  </mrow>
  <mrow>
    <msub>
      <mrow>
        <mtext>H</mtext>
      </mrow>
      <mrow>
        <mtext>3</mtext>
      </mrow>
    </msub>
  </mrow>
  <mrow>
    <mtext>Cl</mtext>
  </mrow>
</math></span>, can undergo polymerization. Draw a section of the polymer with three repeating units.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>substitution <strong><em>AND </em></strong>«free-»radical</p>
<p><strong><em>OR</em></strong></p>
<p>substitution <strong><em>AND </em></strong>chain</p>
<p> </p>
<p><em>Award [1] for “</em><em>«</em><em>free-</em><em>»</em><em>radical substitution” </em><em>or “S</em><sub><em>R</em></sub><em>” written anywhere in the answer.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Two propagation steps:</em></p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{{\text{C}}_{\text{2}}}{{\text{H}}_{\text{6}}} +  \bullet {\text{Cl}} \to {{\text{C}}_{\text{2}}}{{\text{H}}_{\text{5}}} \bullet  + {\text{HCl}}">
  <mrow>
    <msub>
      <mrow>
        <mtext>C</mtext>
      </mrow>
      <mrow>
        <mtext>2</mtext>
      </mrow>
    </msub>
  </mrow>
  <mrow>
    <msub>
      <mrow>
        <mtext>H</mtext>
      </mrow>
      <mrow>
        <mtext>6</mtext>
      </mrow>
    </msub>
  </mrow>
  <mo>+</mo>
  <mo>∙</mo>
  <mrow>
    <mtext>Cl</mtext>
  </mrow>
  <mo stretchy="false">→</mo>
  <mrow>
    <msub>
      <mrow>
        <mtext>C</mtext>
      </mrow>
      <mrow>
        <mtext>2</mtext>
      </mrow>
    </msub>
  </mrow>
  <mrow>
    <msub>
      <mrow>
        <mtext>H</mtext>
      </mrow>
      <mrow>
        <mtext>5</mtext>
      </mrow>
    </msub>
  </mrow>
  <mo>∙</mo>
  <mo>+</mo>
  <mrow>
    <mtext>HCl</mtext>
  </mrow>
</math></span></p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{{\text{C}}_{\text{2}}}{{\text{H}}_{\text{5}}} \bullet  + {\text{C}}{{\text{l}}_{\text{2}}} \to {{\text{C}}_{\text{2}}}{{\text{H}}_{\text{5}}}{\text{Cl}} +  \bullet {\text{Cl}}">
  <mrow>
    <msub>
      <mrow>
        <mtext>C</mtext>
      </mrow>
      <mrow>
        <mtext>2</mtext>
      </mrow>
    </msub>
  </mrow>
  <mrow>
    <msub>
      <mrow>
        <mtext>H</mtext>
      </mrow>
      <mrow>
        <mtext>5</mtext>
      </mrow>
    </msub>
  </mrow>
  <mo>∙</mo>
  <mo>+</mo>
  <mrow>
    <mtext>C</mtext>
  </mrow>
  <mrow>
    <msub>
      <mrow>
        <mtext>l</mtext>
      </mrow>
      <mrow>
        <mtext>2</mtext>
      </mrow>
    </msub>
  </mrow>
  <mo stretchy="false">→</mo>
  <mrow>
    <msub>
      <mrow>
        <mtext>C</mtext>
      </mrow>
      <mrow>
        <mtext>2</mtext>
      </mrow>
    </msub>
  </mrow>
  <mrow>
    <msub>
      <mrow>
        <mtext>H</mtext>
      </mrow>
      <mrow>
        <mtext>5</mtext>
      </mrow>
    </msub>
  </mrow>
  <mrow>
    <mtext>Cl</mtext>
  </mrow>
  <mo>+</mo>
  <mo>∙</mo>
  <mrow>
    <mtext>Cl</mtext>
  </mrow>
</math></span></p>
<p><em>One termination step:</em></p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{{\text{C}}_{\text{2}}}{{\text{H}}_{\text{5}}} \bullet  + {{\text{C}}_{\text{2}}}{{\text{H}}_{\text{5}}} \bullet  \to {{\text{C}}_{\text{4}}}{{\text{H}}_{{\text{10}}}}">
  <mrow>
    <msub>
      <mrow>
        <mtext>C</mtext>
      </mrow>
      <mrow>
        <mtext>2</mtext>
      </mrow>
    </msub>
  </mrow>
  <mrow>
    <msub>
      <mrow>
        <mtext>H</mtext>
      </mrow>
      <mrow>
        <mtext>5</mtext>
      </mrow>
    </msub>
  </mrow>
  <mo>∙</mo>
  <mo>+</mo>
  <mrow>
    <msub>
      <mrow>
        <mtext>C</mtext>
      </mrow>
      <mrow>
        <mtext>2</mtext>
      </mrow>
    </msub>
  </mrow>
  <mrow>
    <msub>
      <mrow>
        <mtext>H</mtext>
      </mrow>
      <mrow>
        <mtext>5</mtext>
      </mrow>
    </msub>
  </mrow>
  <mo>∙</mo>
  <mo stretchy="false">→</mo>
  <mrow>
    <msub>
      <mrow>
        <mtext>C</mtext>
      </mrow>
      <mrow>
        <mtext>4</mtext>
      </mrow>
    </msub>
  </mrow>
  <mrow>
    <msub>
      <mrow>
        <mtext>H</mtext>
      </mrow>
      <mrow>
        <mrow>
          <mtext>10</mtext>
        </mrow>
      </mrow>
    </msub>
  </mrow>
</math></span></p>
<p><strong><em>OR</em></strong></p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{{\text{C}}_{\text{2}}}{{\text{H}}_{\text{5}}} \bullet  +  \bullet {\text{Cl}} \to {{\text{C}}_{\text{2}}}{{\text{H}}_{\text{5}}}{\text{Cl}}">
  <mrow>
    <msub>
      <mrow>
        <mtext>C</mtext>
      </mrow>
      <mrow>
        <mtext>2</mtext>
      </mrow>
    </msub>
  </mrow>
  <mrow>
    <msub>
      <mrow>
        <mtext>H</mtext>
      </mrow>
      <mrow>
        <mtext>5</mtext>
      </mrow>
    </msub>
  </mrow>
  <mo>∙</mo>
  <mo>+</mo>
  <mo>∙</mo>
  <mrow>
    <mtext>Cl</mtext>
  </mrow>
  <mo stretchy="false">→</mo>
  <mrow>
    <msub>
      <mrow>
        <mtext>C</mtext>
      </mrow>
      <mrow>
        <mtext>2</mtext>
      </mrow>
    </msub>
  </mrow>
  <mrow>
    <msub>
      <mrow>
        <mtext>H</mtext>
      </mrow>
      <mrow>
        <mtext>5</mtext>
      </mrow>
    </msub>
  </mrow>
  <mrow>
    <mtext>Cl</mtext>
  </mrow>
</math></span></p>
<p><strong><em>OR</em></strong></p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \bullet {\text{Cl}} +  \bullet {\text{Cl}} \to {\text{C}}{{\text{l}}_{\text{2}}}">
  <mo>∙</mo>
  <mrow>
    <mtext>Cl</mtext>
  </mrow>
  <mo>+</mo>
  <mo>∙</mo>
  <mrow>
    <mtext>Cl</mtext>
  </mrow>
  <mo stretchy="false">→</mo>
  <mrow>
    <mtext>C</mtext>
  </mrow>
  <mrow>
    <msub>
      <mrow>
        <mtext>l</mtext>
      </mrow>
      <mrow>
        <mtext>2</mtext>
      </mrow>
    </msub>
  </mrow>
</math></span></p>
<p> </p>
<p><em>Accept radical without </em><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \bullet ">
  <mo>∙</mo>
</math></span><em> if consistent </em><em>throughout.</em></p>
<p><em>Allow ECF for incorrect radicals </em><em>produced in propagation step for M3.</em></p>
<p><strong><em>[3 marks]</em></strong></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>triplet <em><strong>AND</strong> </em>quartet</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>chemical shift/signal outside range of common chemical shift/signal</p>
<p>strong signal/12/all H atoms in same environment<br><em><strong>OR</strong></em><br>singlet/no splitting of the signal</p>
<p>volatile/easily separated/easily removed<br><em><strong>OR</strong></em><br>inert/stabl</p>
<p>contains three common NMR nuclei/<sup>1</sup>H and <sup>13</sup>C and <sup>29</sup>Si</p>
<p> </p>
<p><em>Do <strong>not</strong> accept chemical shift = 0.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{C}} = \frac{{24.27}}{{12.01}} = 2.021">
  <mrow>
    <mtext>C</mtext>
  </mrow>
  <mo>=</mo>
  <mfrac>
    <mrow>
      <mn>24.27</mn>
    </mrow>
    <mrow>
      <mn>12.01</mn>
    </mrow>
  </mfrac>
  <mo>=</mo>
  <mn>2.021</mn>
</math></span> <em><strong>AND</strong></em> <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{H}} = \frac{{4.08}}{{1.01}} = 4.04">
  <mrow>
    <mtext>H</mtext>
  </mrow>
  <mo>=</mo>
  <mfrac>
    <mrow>
      <mn>4.08</mn>
    </mrow>
    <mrow>
      <mn>1.01</mn>
    </mrow>
  </mfrac>
  <mo>=</mo>
  <mn>4.04</mn>
</math></span> <em><strong>AND</strong></em> <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{Cl}} = \frac{{71.65}}{{35.45}} = 2.021">
  <mrow>
    <mtext>Cl</mtext>
  </mrow>
  <mo>=</mo>
  <mfrac>
    <mrow>
      <mn>71.65</mn>
    </mrow>
    <mrow>
      <mn>35.45</mn>
    </mrow>
  </mfrac>
  <mo>=</mo>
  <mn>2.021</mn>
</math></span></p>
<p>«hence» CH<sub>2</sub>Cl</p>
<p> </p>
<p><em>Accept <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{24.27}}{{12.01}}">
  <mfrac>
    <mrow>
      <mn>24.27</mn>
    </mrow>
    <mrow>
      <mn>12.01</mn>
    </mrow>
  </mfrac>
</math></span> : <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{4.08}}{{1.01}}">
  <mfrac>
    <mrow>
      <mn>4.08</mn>
    </mrow>
    <mrow>
      <mn>1.01</mn>
    </mrow>
  </mfrac>
</math></span> : <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{71.65}}{{35.45}}.">
  <mfrac>
    <mrow>
      <mn>71.65</mn>
    </mrow>
    <mrow>
      <mn>35.45</mn>
    </mrow>
  </mfrac>
  <mo>.</mo>
</math></span></em></p>
<p><em>Do <strong>not</strong> accept C<sub>2</sub>H<sub>4</sub>Cl<sub>2</sub>. </em></p>
<p><em>Award [2] for correct final answer.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>molecular ion peak(s) «about» <em>m/z</em> 100 <em><strong>AND</strong> </em>«so» C<sub>2</sub>H<sub>4</sub>Cl<sub>2</sub> «isotopes of Cl»</p>
<p>two signals «in <sup>1</sup>H NMR spectrum» <em><strong>AND</strong> </em>«so» CH<sub>3</sub>CHCl<sub>2</sub><br><em><strong>OR</strong></em><br>«signals in» 3:1 ratio «in <sup>1</sup>H NMR spectrum» <em><strong>AND</strong> </em>«so» CH<sub>3</sub>CHCl<sub>2</sub><br><em><strong>OR</strong></em><br>one doublet and one quartet «in <sup>1</sup>H NMR spectrum» <em><strong>AND</strong> </em>«so» CH<sub>3</sub>CHCl<sub>2</sub></p>
<p>1,1-dichloroethane</p>
<p> </p>
<p><em>Accept “peaks” for “signals”.</em></p>
<p><em>Allow ECF for a correct name for M3 if an incorrect chlorohydrocarbon is identified.</em></p>
<p><strong><em>[3 marks]</em></strong></p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>base<br><em><strong>OR</strong></em><br>proton acceptor</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2017-09-20_om_15.46.25.png" alt="M17/4/CHEMI/HP2/ENG/TZ1/06.d/M"></p>
<p> </p>
<p><em>Continuation bonds must be shown.</em></p>
<p><em>Ignore square brackets and “n”.</em></p>
<p><em>Accept <img src="images/Schermafbeelding_2017-09-20_om_15.47.42.png" alt="M17/4/CHEMI/HP2/ENG/TZ1/06.d_2/M"> .</em></p>
<p><em>Accept other versions of the polymer, </em><em>such as head to head and head to tail.</em></p>
<p><em>Accept condensed structure provided all </em><em>C to C bonds are shown (as single).</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p>Ethane-1,2-diol, HOCH<sub>2</sub>CH<sub>2</sub>OH, has a wide variety of uses including the removal of ice from aircraft and heat transfer in a solar cell.</p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>(i) Calculate Δ<em>H</em><sup>θ</sup>, in kJ, for this similar reaction below using <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta H_{\rm{f}}^\theta ">
  <mi mathvariant="normal">Δ</mi>
  <msubsup>
    <mi>H</mi>
    <mrow>
      <mrow>
        <mi mathvariant="normal">f</mi>
      </mrow>
    </mrow>
    <mi>θ</mi>
  </msubsup>
</math></span> data from section 12 of the data booklet. <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta H_{\rm{f}}^\theta ">
  <mi mathvariant="normal">Δ</mi>
  <msubsup>
    <mi>H</mi>
    <mrow>
      <mrow>
        <mi mathvariant="normal">f</mi>
      </mrow>
    </mrow>
    <mi>θ</mi>
  </msubsup>
</math></span> of HOCH<sub>2</sub>CH<sub>2</sub>OH(l) is –454.8kJmol<sup>-1</sup>.</p>
<p>2CO (g) + 3H<sub>2</sub> (g) <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
  <mo stretchy="false">⇌</mo>
</math></span> HOCH<sub>2</sub>CH<sub>2</sub>OH (l)</p>
<p>(ii) Deduce why the answers to (a)(iii) and (b)(i) differ.</p>
<p>(iii) Δ<em>S</em><sup>θ</sup> for the reaction in (b)(i) is –620.1JK<sup>-1</sup>. Comment on the decrease in entropy.</p>
<p>(iv) Calculate the value of ΔG<sup>θ</sup>, in kJ, for this reaction at 298 K using your answer to (b)(i). (If you did not obtain an answer to (b)(i), use –244.0 kJ, but this is not the correct value.)</p>
<p>(v) Comment on the statement that the reaction becomes less spontaneous as temperature is increased.</p>
<div class="marks">[6]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Predict the <sup>1</sup>HNMR data for ethanedioic acid and ethane-1,2-diol by completing the table.</p>
<p><img 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" alt></p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>i<br>«ΔH = Σ Δ<em>H</em><sub>f</sub> products – ΣΔ<em>H</em><sub>f</sub> reactants = –454.8 kJ mol<sup>-1</sup> – 2(–110.5 kJ mol<sup>-1</sup>) =» –233.8 «kJ»</p>
<p> </p>
<p>ii<br>in (a)(iii) gas is formed and in (b)(i) liquid is formed<br><em><strong>OR</strong></em><br>products are in different states<br><em><strong>OR</strong></em><br>conversion of gas to liquid is exothermic<br><em><strong>OR</strong></em><br>conversion of liquid to gas is endothermic<br><em><strong>OR</strong></em><br>enthalpy of vapourisation needs to be taken into account</p>
<p><em>Accept product is «now» a liquid.</em><br><em>Accept answers referring to bond enthalpies being means/averages.</em></p>
<p> </p>
<p>iii<br>«Δ<em>S</em> is negative because five mols of» gases becomes «one mol of» liquid<br><em><strong>OR</strong></em><br>increase in complexity of product «compared to reactants»<br><em><strong>OR</strong></em><br>product more ordered «than reactants»</p>
<p><em>Accept “fewer moles of gas” but not “fewer molecules”.</em></p>
<p><br><br>iv<br>Δ<em>S</em> = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\left( {\frac{{ - 620.1}}{{1000}}} \right)">
  <mrow>
    <mo>(</mo>
    <mrow>
      <mfrac>
        <mrow>
          <mo>−</mo>
          <mn>620.1</mn>
        </mrow>
        <mrow>
          <mn>1000</mn>
        </mrow>
      </mfrac>
    </mrow>
    <mo>)</mo>
  </mrow>
</math></span>«kJ K<sup>-1</sup>»<br>Δ<em>G</em> = –233.8 kJ – (298 K <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\left( {\frac{{ - 620.1}}{{1000}}} \right)">
  <mrow>
    <mo>(</mo>
    <mrow>
      <mfrac>
        <mrow>
          <mo>−</mo>
          <mn>620.1</mn>
        </mrow>
        <mrow>
          <mn>1000</mn>
        </mrow>
      </mfrac>
    </mrow>
    <mo>)</mo>
  </mrow>
</math></span> kJ K<sup>-1</sup>) = –49.0 «kJ»</p>
<p><em>Award<strong> [2]</strong> for correct final answer.</em><br><em>Award <strong>[1 max]</strong> for «+»185 × 10<sup>3</sup>.</em></p>
<p><em>If –244.0 kJ used, answer is:</em><br>Δ<em>G</em> = –244.0 kJ – (298 K <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\left( {\frac{{ - 620.1}}{{1000}}} \right)">
  <mrow>
    <mo>(</mo>
    <mrow>
      <mfrac>
        <mrow>
          <mo>−</mo>
          <mn>620.1</mn>
        </mrow>
        <mrow>
          <mn>1000</mn>
        </mrow>
      </mfrac>
    </mrow>
    <mo>)</mo>
  </mrow>
</math></span>kJ K<sup>-1</sup>) = –59.2 «kJ»<br><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<p> </p>
<p>v<br>increasing T makes Δ<em>G</em> larger/more positive/less negative<br><em><strong>OR</strong></em><br>–TΔ<em>S</em> will increase</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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0AEv/04li+E26ZBHIUIqEpmXGOzI7yVormNmIeHs0/IO76JdxZtqpNK228EMeGe7hH3aY1QNPr9L8aiCo6nvcuiNHHOl766ELTWCy23cPuGMSDCl/yiGoqM7+HoOi0BgX5oqaSxmAdNyD08fG+OEujqrodaT1/6Ge4h/GZ+NfIfQlLSQApEcKqY3fLOARWO89tjLLomBYmofyPv1xnYvvRLSmRYC8as21KmTtUUAZL9XFarWpPnVM161WrBbtuMxaauZZq+r7hiHtxWkDptG6jOePGcqvkj7n7oB+gKMrHUv5a1/Rj9kL5FIRQtwNXmSW/my6vNYUqB7U1A+Op/SFI/33oFOX34CVEEKmeECTyeKU+OJbI9RriYX52SSJTQTJQXszgmz52KIcSpi/v1J3HGTKbEq/VxrlsweWa9aZr1mtHornDbJLNg/hOMj9W536yFKXXK3FZMo1PlTSE+SrEjOEsWSxdPYe70uEbW03DEGhimz2SyWg+xHsPkmfw8sZ87rqHRdng54YxdSHDVQ6wtMI25sx4iXFh3lQAyb5aaAPQTn2L+lHhXPyjSFSYzme51eqeX8rvsoe6EGH7Or1J+XK+PhSEhlvFTvI3FAYxPmYarL5x921KWmvB7mRCnjlMtfti5TA/C700kTqdeu8JVd53BFJo+XPdYbPJa9nZfSSRl7nRGhfuAzRH8LIJ+vbZNE8a9E+LQqdY8Py1cBj/dGGbMrXvtibViJs91TvXuJGOy29WrVz2iMzpJrWU1Oz2Bbt26IYde5+tGm9k5DQ9f+iWrazC4p3l27N/9+H54d/ixri5I1Ml+N6T1Y9FzkaiO/Ds138949VaqtzEs3RbeSMljkoAk4JWANiKK4YGHMFk93QxqUl/6Rd/Frequ/JYE2pGAHIvtCLcZotvDqNuMYmUSSUAS6JQE/CL50ezpJKtuC7UR0l2gkpDfN4qAHIs3irTXcqTbwisWebC9CXgzg7V3mVK+JPB9EJBj/fugLstsSwLexrC0PLQlYSlLEpAEJAFJQBK4CQhI5eEm6GTZRElAEpAEJAFJoC0JdAPkbIu2JCplSQKSgCQgCUgCXZCA5ww5ZbaF54Eu2F7ZpA5IwJsPrQNWU1ZJEpAEJIGbnoC3+7V0W9z0w0ICkAQkAUlAEpAEWkZAKg8t4yVTSwKSgCQgCUgCNz0BqTzc9ENAApAEJAFJQBKQBFpGQCoPLeMlU0sCkoAkIAlIAjc9Aak83PRDQAKQBCQBSUASuJEEysvLef7555k7d+6NLLZNy7qG8lCNedsy5XfGxW+Ne/9bxjZztaNS1cXkHdjG6h1m9++liR9dUfKuJrv8On9FrU2b3oQwm5ltfxDtVdtWSvaKP7Bw4R9YkV3aREZvp64nrzd5bXFM/DDMakd/rsimvCmRDVg0lVieu3EEvuHgWxPo+0Im1htX6E1c0mWKNy+gb7dudOumJ2XzV15YfMXmFD0iMr1b0moK6v0Y6JWDb6EX5/q+RKZVnPRIr8gVsh1/fVPeYvPBc9QT4aXMrn3IXrCapG6xvJD5dds21H6C1Ul6klafaAFjO5UF6bz10oYGfduSyuXm5vLouHiWLVtGyODolmTtUGmvoTy0pK7VmHdtIG2nCUsn0RFa0jqZVhLoOASsnEh9g5e2fNFxqtTVa2Ldx58W/JlzSju/ZH/hBa7Ub/OVCxTu/9JxdNdm/nHoG48UVyg9Y0Y5e48eXYAGPNN7pBSb59Y+x+TYcczdfKYFD7d6QrrAriZyFulXTbyZcFsHaE05n616mecO1rS6Lvv37+Xee+/l84NH+Ou2T/iPf3u61bK+74zN/lVNn9gUXp6oR/1p8oYVd1ofGp7oAkdCMcz7PYZWteR68raqwGZk0hJsmMWS1jWoGfJlkvYiYD/3GeveXUvp5CeZGrCOI+1VkJTrQeAbDv71bZY6NAfl+JdHzlDKCMI9UlF6hiNO3QE+4u0Pv+CpEQkEKmm+IT/HpGyFx9xJmHhtO6+mn8Kqk2uZFenrkGY/x2d//HcmPbuW1QtW8LNHXiUhsA3f8zzrLLdvGIH9+7MYNephpbylf0tj7o/jb1jZ7VFQs5WHpgsXpvm/YLTUKslqTaksNgUSm7KAicEeOa+WY/5kN1sy87ESRFTCBB4dE0mw67qoojg3kx1bc1zWC60ulqTE0cTpg9Hg+TvsY0lJ9OFYRiYmSw1odcRNm0JypEjn/ChulD2kZ4nyAPHLf0ljGBkdgZ+ahrplanVxTBqvc511bKjtA13yL5hnCHWet1NdfIxDpgPsMlkcrpoGZTSS116OOWcvGemqpcYXXex4JoyLIcLP1YJ69QCqi8ndtYOtanmIfAkkjr4ffbDanVcoN3/OXpUNAk8ckyYkEBPhD3U4ev6efXNYiOxmtr2WiqnW2cd6N82GFZZH2oyA/QRrZv4B8wsreDX2O9a0mWApqHECdioP/he/fe4jYAp/WTWYt2Yv4cv9hZy9AuHqJQdcOVvIfg9B59Zt5p+/GsXjET3A/jWnc88C4dwzqC8BnunD9dwZ1sOdUxPOA79+kVc/3s3sXbtINz1LQod483ZXsc22KgvI/HAVS2YvJUsROo7nV73A7CfiiQzQINwW4wf9JzEZH/NmAmS+8CiJuf+HjCWBpL/wAkuzzkH4DJalvsz8sZEKV0VMZQG733+NlOfWco5hzFj2PGNK1zN73QgyTrxKguiA+h/7OQ6ue5ffznTWJf55Vi2czRMJQu7XjrKXHgRmM0j7nzyv1Kl5FhGhOCyYPZ3ePn2YuuhFnpv2k/qld7r9Jp5Sbd2WMvL+Zw2piuIgZFeQn7mBNZ9YnGa5K5Rlb2TlJrfiIFLZLCaM67eRU1bPSGjZTWqq0aE4OBKSs24DnxRfdlTcfoHs9WtIUxUHcdSaT1baGtZmnMFhJ2lYps2Sw6aVmzA59CCHLK//7VRb9rB25YfsdD3I1TJWsnxbgbMMb5krMW9fS6pRVRxEmhospi2sXJ9DWWOOTmebNnmWp+Qzsn7T5858dqrNH7PKk43CUbRrI9n1Obqqdz0sXELkRnsS0OgYv+a/eT0hwq0gt2d5UjbYv2LXf64mi3Dil/2W6eNjeFBw+dLMmVLPe5KHW4JJvLHsl4Sf28yK9ELH/e38cfbsEqaLvsTceRsaPNKrbgxP3hodw8cOAs6Se/rrLuq6+IaD7z/L9D1D+Mt3NsRKx7azv0W77ime/rCg8Tbveo0lm3oxe7uFq1cvcXb9QD4a9yzvH3S6iexn2PzryaQcSSBTkbufF4Oz+N3SXZ6E626LPHPH8aPMfrx59hJXr9r47i9D2DN9Mr9WXEe3kfDmx2Q8PwLGreKkrWlXiohr2Lx5M9XV1VgsRfz6F7OoLe5J1A8f5U/Pzqtbdifd89Cbm26Bw5rgJY3O8eZqmPccoduWk2qyUsfF4YrGu4i1dxLzX4ojomcFeRtTSTteQYX5K75J1BFsLyE3+ww2QohNmcNEfQD2smxWvWekyPY1FypqIcRDOxeWi+QneMygo6crXTnmom9JjAih6mgG6UU1aHUJzJkxBp0fjof9B5lY9h7gX4Y7iOY46emF2NASOGQSs6fGEEw5BcY0NuQ4LQlemqwcsp/lwId7FAuJuww75XlbWJWWh9VkZNfQvkzUNxRgL87hH6YyIIghU1KYGh0C5blsXLWV40VZpB8dyrRoh7HTM7f93BGyi2ogMI6UBcno/eyUZa/jPWMhtnMXqLgKIaJe/zBhrdOmMifvQtLTjzN82lBPsY7tqhaw0OqZ+PslTGwoRR5pVwIBhNexk7drYVI4lyneuowFq49C+IssfCqWAH8t99wllIeTFJ6tgXD1FbaGs4UnHczuepCxs+6j4u0/s3TdTg49oefufBO7lbMDGaQTedzpXW4Mr8TP8WX5ReVBegPf9LzWpM0P2ks4vPsE90yNU6wMQr4mfCyvf2J2FeX1PSp8JgtfnuTM04Pw2NE8EL6C3YdLeHZEIJVZK1iwcwzLP3+SwSK2hEAGz3qT9ScPk7jOJdpjw45V5FkdxasnZ/NAuOM5EzD457y3/iSDp68gS3EdeWRpZFMoC4te+iX/3LSFkvAx/NvZs3y6Yx09ii5xJiyUg++9hp9f17DUNlt5aIRVCw7fxn1jRjhN8kHoh4ajPV7hnpWh0ZH47GIShTn/8yNkl1Zyat9+ipTgyytcrBKmAA/lIWg4Y+J0DvdDiJ5h4T4UWdTqXOLsKefD35LJitcz1RPO79McNVcyLKSUEkV+P0Yl3eN0nwQTmWAg0pRGfhOBn/ZzJzlcIRLczugJD6JTXA0agqOTSDpqJi2/jMPHSpigv6Ve2Ta+KTpDhTiqM5AUHeJ4iwyO4cnnYuqlrburiUjk2SWJ2MvNfJ6bQ2nVKfZlCeUHsFdRdckONV9hVuo1wKNNIUQ/+SzuuF4b9UN+7BWtZ1G3lnJPEugaBOzFO/i9EiQ5jFnL5xGvxB30YeCDd8GXX3HkTAWMUJWHCs4ccczACJ98H3cHj2T2q1NYOvtvfPjZT5h92uwItnS5KEqd6d1ujDrU7BYO7xbKyF08OLAPN/BGXaca7bqjCWP42MHM/t1/sXVYElTqGKe4CFpYakBfBt0D606epZLbMKXv4tw9/5dhTiXAIS0A3aCBjQgud+QJH1fXfYSGAJ2ee879p9N11Eh2j8NCMUiIu4dl7/4XfHWJ3372NBPvuY3DYTF88O5z9NPVd4l7ZO5km80ek3WsCa1qpD/+fmq4pYae/v7KQ9P9fK7CkvE3PsgqcisUrnK608vfx7WnbPTyxx0aEEBomB9Y1KDNSkpL1O262Rx7tXx38RJX/SupFAe0fvTyFT8w6vz09KeXUFjdlVPPuL6vVjvz+txBf09/JT7493JgrS0p5VvqKw+XKb8grA6t+FSfIWPterJEjEf9j8Yf/54abGcvcL7+uWbsu9rTChbNEC+TSAKdjMA3HPr7alYrQZJHWT35TlbXa4FjxsUdjge79V/k7BbRkqoy4It+1KOMYzZL3/x/cJtzZozqonDNtLiLsFt7NXBD2c0H2Ki4OaYwZpgaY1WvAp1+91ZG/HYDJ+/7J/s2vclsxa0QTvzzr7Jw9k9IiGxofW3XJp97g8Rb3vBSxAiafq2rm+XRnz7DmvOnWLFoLef7DOTTI7czYsodPPnouLoJO/les5WH9m6nvTibDxXFIYio+B9wV//B3D+gnO1KYF5LS+9Jr95C2ait60KpJ8ZeHKAE2FTYyiituAL+TsvGpSouerWXuQV083Pmrf2KMyWX0YugKOVTS9VFhy/UJyy0geogrCfBfUJEcARcrKJalNMse+Rlig9sdygOIihz1CD6DxrOgPKPeC3VhBqioQ3uw+2AhSqqqoX2oyps7rp723K1pxUsvMmTxySBzkvAM0iy8VZ4zriwl5wmV1E0BjF2uM5xSUf+mBeeH8GupX9kqVOMy0XhmmlxB/f0D6pbiP0MW998B+GhD5/1U5L0zlkYdVN1kb1AIhMeV/5mvXmZcwd38Lc/LSIx3qwENt7Q+QgilmHnLCIbvR83f62JJ556iZm/eQ++7U7vO3z506v/3kX6y92MRjG5k9yILTs1ZRccMyK0QQyIeYA4fSDfHDtEgfpUbFE1AtAPu1N5bNYe+oQsS5WIbaY8L41lYsGqxX8nr8qOJnwQw4PEw/Vrvvj0OOXiQW4vpyAzm4ImrA6iKu6859m7Yz8WRQsQZaSTni/KC2H40DAvj24tt/brj3K7qDjMp0fLHIFBwqqw4jUWLlzM2xlqEKlno2soO/+dckB76wBi4kagv/Vbjn3+pUtxUE7eegf6+m1CWHVWsli0/e0Mir0oRu72tJyFZy3ltiTQ6QnYC/jwpWXOIMkcvrt6VQnmEwF9IpDu24wXHVM0nTMuwE6lxeyYNhtu4L67xYwm8QkmNmmcx3TOuxgbd7cyddM9M2MQA/u6lQMxFTf1xaeYrMRZzOLV5x4hooPcpZ2NasevHoSPmMRTKT8i/JyZ01giOKIAABU4SURBVCXO4PcWlehkfsSMpdLzRleJ5WRhI5LUPF9w9JxnmUKJfIeHuz3B6gIv1t5GpInDfn5h/GnhU/QbcDt//es7xERGNpG6c55qtuWh0YBJfJzTF2/BL0AEglhpdKpmo4w0+EbcSYT2OEW2QozvvoJRSetPYKAPWL3EPDQqS5zQ4H/3SEbrCsmyFJG14g3nNCBxzhfd6JHc7S+uyDBiDP3ZayzEenwT7yza1KTUOic1fRn541i+SM3B2iCuQktgbDLj9MIf2tB9oomI48exR0g1lXE87V0WpXlIDozmkXvDvBgj/IkYEIY2vxBbkZF3FzkIERBIoBasasyDv0e9GrQpiCGPxBCuAc/la5TSNS1gIadqenSY3OxaBESQ5HJ+J1wG4b/k6Sdj3NP/HBeKww8uFnL68jMOF9YwIhJK1JgG1S3hTBsYP4NXx61htuKCUK0Mdqq+LUe8YsAKJvddoWzV/TeOF9f/gZmDb7Dpvm4l2ndPrPI4fgLrYpayYqEzALKygH+mH4RZ8xwWF3fsZDProiEwfh7Lx09myWux6BS5lRRsfpslYppluDfXgZpnAgteWonuP+byQHh3Kgu2suS3f4ZlG3jCuQaHEjeRK6pSQ2VldwICGn+EJk3/Nx57aiG6LhTn4NkJbajT9iD83kTidKoWLdwG13h996iJJuR+Jk9PJEo8CcUnMIqElDnMGiUCTKooOHraebF5ZGpq068/iTNmMiU+yrlIi7LYAbGTZzIjsb9znYfuhBimMndyHDpnsWI9hMlzJxNbL8SiYVEa/PTJLJj/BONjdW4Lg3ApTJnLgomRHmtJ1M8dgP5HM0hJjnWVqyg1scmkzH6MaNd6DZ75uhMSN5HpCWp7tARGJZIydzqjwn3A5ggCFYqTn/5RZqckE+vqC7HOQyzJKTOVmR3eO/16WHjWU25LAp2XQN0gyeeY5HJHutukCbuTGGXWSyEnLSJqyv1We9fY4Qz0vMA0A0ma97jT+qBaGS67lQ23WMeWWLMg7SNMZ7d3/Sm5msHMXLORp0O3Ed9b61iau/cUtoXOY/urE1pvcdH05/E/buAll9wHea0wlqeXTapP272v5NnE+jFFvNC3J926aekdv43Qpzey4dkHnAqkL/rxc3nx8u8YpB3I5A/NjU8nBSIjI7us4iDAiSjBq8IcJz+SwI0kINbwl+PuRhKXZUkCNzOBGgpWzyD+5HxOvKmu+nkz82hZ273drz115JZJk6klAUlAEpAEJIEORcCONfMl+vadzeoT6k/GXebcZ6t47XdVPPvEfW5LdIeqd+erjFQeOl+fyRpLApKAJCAJeCUg4heeZvvyKPYk3OL8ldKejPhzNRO3r+TZEbd6zSUPtpyAdFu0nJnM0QYEvJnB2kCsFCEJSAKSgCTQxgS83a+l5aGNIUtxkoAkIAlIApJAVycglYeu3sOyfZKAJCAJSAKSQBsTkMpDGwOV4iQBSUASkAQkga5OQCoPXb2HZfskAUlAEpAEJIE2JiCVhzYGKsVJApKAJCAJSAJdnYBUHrp6D8v2SQKSgCQgCUgCbUxAmarZxjKlOElAEpAEJAFJQBLoYgQ8VwVWftXD80AXa6tsTgcl4G3ecAetqqyWJHBdBORYvy58MnMHIOBtDEu3RQfoGFkFSUASkAQkAUmgMxGQykNn6i1ZV0lAEpAEJAFJoAMQkMpDB+gEWQVJQBKQBCQBSaAzEZDKQ2fqLVlXSUASkAQkAUmgAxCQykMH6ARZBUmgIxAoLy/n9ddfx2KxdITqyDpIApJAByagzLZovH7VmLctJ9Wk/i66t5SBxKYsYKLeD6qLyTtkwlQ+lJQJerQieXk2K94xYmEAyc+kYAhWjnoT1DGPVeWxYWka+ZpYUl6eiP5a1RcMDuwhPSsfhZpWR2xSIqPj9AS3WFVz8/eJTeHliXq018PzevJ2zN65+WpVWUDmh6tYMnspWUrrhzFj2Vu8PH8skQEtHmAufvv37+XXv5jLwSMnGRobi06nc52TG5LAtQlYydvwZ9Ly/YhNmcNEfUC9LM7zJQ8w/zeJRDR3qFYXk7srh4rYCTwc0aOezI60e5nijL/y/t4Qpjw/lWj/5jawuW2wU5W3kaVpZYye/xSJHYBFG7awGvOuDaTtNGGxNRdIB09XfYaMddvJb257RPq1a0hTFQfRPJsFk3E9q7YXUN3Bmyur18EJ2M+w+deTmb6nH2+evYSYYm07+z4xR35L/K+3UmxvXf3Xrl3BqFEPKYrDtk/3MXHcuNYJkrkkAcowbcnCXN3KwViHoJ2qf33KVtNZ2kJaHdFtvtODiMQFLFn8ZDsoDm1e2TYReA3Lg7sM15uv+1C9ra70aLxCuXkfH2/JIt/aXM1BDPQD7LXUgLYf8XN+RqKuB2XZ63jPWIj10EH+NVZ//QMr2MC8JYZ67OXuzUDAbs5gxeqe/DxjKg+EO97CNOEP8uuXn+HjQa/zp589xJsJt7UIxfL3XufpX72s5Nm9bx+PPPhgi/LLxJJAHQIBgQReNLFlVyQLJkbiV+ek3OlKBJqtPDTd6FKyV/wFo6VWSVZrSmWxyenOCPbIebUc8ye72ZIpTPpBRCVM4NExkR7m/CqKczPZsTXHZb3Q6mJJShxNnD4YDTbKs1N5x3gKdGNJSfThWEYmJuWBrSNu2hSSI0U656e+CyEwivikMYyMjmhyUNvMH7E81UQtQURG+fFl/lmurUJcoaK0TEmnjYzDoPNXKhEyaDDhxkIstjJKK66Af2OmNzvVxbns2rHT1Z7YSYkMUNuifjfmenC6jLJ3qZafIKLiH2HMyGFE+LmIqFLc3zYz215LxVTr4X5yn5VbHYiAJnIW6VdnNVKjs+Se/ho7t7nHfyMp1cNrU//Ify//o7K7YWe6VBxUMPK79QR8hjF2dAlbdxrZNbSvF/eFp+gqivOy2ZO+1/mS5nnPwmmmP67cU7PeX8LeqCk8Py0ax51VlaOa888R+dAAvtv/BRabP1FTfsm06EDs5QXs+XgHmfkVgJbAqNEkjTEQHeGWYi83k7M3g3STBRu+6GITiMaE8dBtDhcERxXXdUGkZ/lquaeJVMryreu2UPJspjjyfiK/y1Xu6Vq1/vZyzHs+dj4HAW/PJZEmZy8Z6Y77uXgOPhLWVPiAyuPGfbeR8tCcCpeR9z9rsFhUABXkZ26gxD6H3yTq0HCFsuyNrDQW1nlQ2ywmjOvL4emfYwgRq2k7P5bdpKaqOw73QM66Dfip/iD7BbLXr8FYVONOZM0nK+0U5tLpzEjs34QC0QNdbDIPjb6fAeUf8VqzlAen2SrRXRzYqS4vc8Y+hBAa1Dhue1kO61caKVK1FOHu2JSKyVNcY9uKu2Q9WUKJcn0qyM9KI/+LIlIWJKNvSoFw5ZEbnZfAKKaOurNJxUEEQoaEhODn58f+/bt465VXOfG1P8+99SeefFS6Kjpv33ekmvcgNO6HJB1biXFLFkMbvfdUYcn4Gx/stRM77Ve8EhkM5fkY0zbzvnrPip7K8zTXz19BQeG9zHnhFfpWn+e8XwD2smxWvZeJPfZxnnklimCNs8yVRVxUnifdobqA7av+m4KIscx9aS4RPb+hwJjGhpwLoG2ZFa9hL9iwFpwlYM4zLOl7meLzPfAXz6VVK0m338e0ZxYRGayh2rKHtR+sofDiXGYb+qChEvP2taQW3E7y3BeZF+FLdXEOWzYcwsb11qlhLVt7pPGnWT2JDmtCvYNiV5fMM/MMGOY9R6gzuLKOi6NczXMRa+8k5r8UR0TPCvI2ppJ2vIIK81d8k6gj2F5CbvYZbIS4Am4cnS8eqF9zoaIWQjzf2oOISn6Cxww6eiqDRKQrx1z0LYkRIVQdzSC9qAatLoE5M8agE/GcSidlYtl7gH8Z7mjUhaDVj2eW3lFvm6v+ajua/20vz2PrFhNWofHeO4K7Gw2isXI0PcuhOARGM2X2Y0SLa6lgN2kbDrisMN5Lvkzxge0OxcHlLvHHXp7LxlVbOW69hglRq2fi75cw0btwebSjE7CfYeub73Bk1ius1vt6ra3FUsT/WzyfdWuzCRs5ks1/XcqoUUn07v0DxvxoCK/83zle88mDkkCrCHTrQ9zjCRx9L71x90WVmU/3XiAiaa7bWhwcxYSf/wjr0s3840AMv0ns24Li/Yk0jEAnXpL8wgnHSt6WLIoCf8D8ZKE4CFH+6BKn8vj5P7M5/TjDpw2Dfx3k0MW7eXxSnNNCG0xk8g8ZXfABWep7bgtqUT+p2wrtT0S4sFZsI73oFkbPTyQy2PH49dON4eePl7B0cwZHh08lmkI+O1RN1OM/xOC0kPhFxDEp6TQFaWX1i/je9puwZ7d1nW7jvjEjHB2kCUI/NNwxG0MtRqMj8dnFLHllBkPLjpCdvZv/Xp3ufBO/wsUqh0tETU7QcMbE6RTrgSZEz7BwH9cpuMTZU8IEJeIVM1nx+iIWLlzE6ysyHQ9i22mOmis90rf9pvvhbYPAWB4bp2/c0mG3UlpyCfBBNyqeaGVQdSc48kEMkW7zmtda2i9w4vDXikkuaPR4Hna6SzTB0UxMGoQWG9bD+RSrFg2vQuTBzknAyok1f2BB4U9Y/+qERiPYz5wpJCv7OPf2/oZjZ+z85IlJGG7py3ff/S+r3nxFsUR0zvbLWndUApqQ+3k8qT8XTUZ2NbjX2qkyH6PAdgsD+91a11rmG8ztgWA9X46nHbXF7aw6zdGCKrRhoQTVecr5EnJ7b2wFxzBXWTEfPY0tsA8hvh6JNH0YPLw93vArHeVp61uhNfiG9CFQeS5ZnWx6c3uI58uAM02LQbRfhmZbHupYE1pVH3/8/dR5jhp6+vsrg8b9THOalLKK6rgtHEV1p5e/p3IA9PLHbYkPIDTMDyxq0GYlpSXqtrfK1vLdxUvg8veraXzQJf+CeYZQ9UCrvusqDsKS8KjbbeCtzKQEwioFiZ707tXTo0wf/Htdo4uu1lCp5A3krv4hHheiB+PaMkq/teE0pnjIl5udl4CVE6ufIeF38GrmMyQ4Ayi9tefBB+PZnv4JEx7+AaHmM3wdfoEjQSN5849v0E9OyfSGTB67bgLdCRHui6Oq+2KUh0R3fJjHwTqbtpJSKuwQVOdoy3ds+Wm8sTCtYUZtSMNjN+qI7ThpbyyiYa38CePabG5UNa9VzjWeTNfK3nbn7cXZfKgoDiJo5gfc1X8w9w8oZ7sSzNfScnrSq7dQNmppUumxfdtSwddM76k4uF0mHlqtNwnd/AgI0ELFJUpKrdgJdCoBtVRdvOIth/tYN19n3ot8eaYMu17Ej4iPnUtVVY4pTj4hhN6ihbZvrrsecuvGEbCf47M//juTlnXn1cx3mDU48Jpl63QDmDN/Bvs++ICNJwZzx5ALPP3ElGvmkwkkgVYT0Hi6L0Jxqw/dCQoNQUvjJviGFoPW1EJLULwaU+ctv5U8b4fb+1hQfBNrXQjXRtNs2rt6zZXfQZQHOzVlF5yBhUEMiHmAuBAoz8ugoJ63onkNC0A/7E60+cepPfQJWSP6KtMmy/O2sCotD6t2iHMhjzb29yvBNyLOQLgq4pg+Q8Ra1FMcvMYYXKa4JpusrPNUfJHN0XvVmIf9ZBdUNd1kp4lNybt3J58MElNERcxDHtvST2IT8RbDo4hQjT5NS5NnOzgB+7nd/G5aCm8wk01Z/87jkddWHNQmTZo6n7++n8aAIZdJ/ety6a5QwcjvdiPgcF+c4D1jJvsCa8WEB0CDv34okdrtFBZ9w8MRIkjQ+akp57wVAocHI4z2rXZd+N/JsMieFBR+RcXDOkJcBVRi3vYBqV/ew/zfPOx4ThQUUVRxhYgQ9XFYQ9n57wCndUJxpWgpUOvY6m/nc6lBeXaqzUaWp57mPhHwr7D5iPNlNeBaDMrjGdnq8ts2o0rrmlIbDZgUfnrF1H8LfgFiVq+VRqdqNlqKBt+IO4nQHqfIVojx3VcwKmn9CQz0Aasa8+AZMNmoMMfgvHsko3WFZFmKyFrxhnM1PpHHF93okU0ELzYl1/OcOj1VxIwKV0cQZbn7OaSuC2HNIfX1HI8MTU2F7EF4zAj67TVSZM0j7Z08LyYtD1F1NnsQMXIcsV9swGSt31YxDSiu6XgLlxulqfrVKVDufF8EKj/jbaE4nHycTZ8v5nHXjaV5FdLp7uKn/+cpZsyYIVeQbB4ymeq6CXi4L4pq3X4Ifz0Pje7DB+lbMIY4p9iri/L1iiVlZF80qH5+YaG4yqXqS/j49XQrGk3WLZBhSfHkvJfJ/xhvZYoSNFlFcfZ2tpggNiWOCI0GhiWSlLOS9P/Zyx3Ky14NxdkfkZ5f5VR0xOPEEQORtTeHbIueRJ1j9sNW5eXM083cZIUczyVXebsJmTLWMdtCzKTY8gXE/pSRyjU9hKSkg7y3eSMZweJl0LO89ojFuFa9vZ9vtvLgPbvn0R6E35tInHkzOcqUQeE2cEc0eKb0ti001MnTL7kXZgqMIuGxsUSXbudd4ykKjp6mKnqot6zej/n1J3HGTELrLxU9aQLjYppe58G7wGsdraAg76sWtLiuPE1IHNPn9my4zsOZLaQ1uTw44BfJxAVzGXDIRIvXeahbDbnXYQnUUPDhWzyXdQ74M5N1f25Q0/DnMzjxZgJN2SJeeumlBvnkAUmgXQm43BdGilwFiZkPP2NuaDZ7tv2JRcpLl3BZ/4j5HmvTaMJjeGTIYdLef5WsJs39LsGuDcc9tRcH9uzknUUblOPKukEpM4hTl8/W9MEwfSa9Duzh768vcsyMizJwX1QQWS5Tg3hBe4zJlTvYqryIivUi4pmYFEdJWq6rvGZteJS37Z1XPH7CYBqz49Sg+u6EGKYy1y+THR+8QZZ4jAYOYfyo4ZQYi5tVzI1IJBZOuCqWuZWf1hAQ67Wv5uiwWcqCJK2RcLPm6datm7K88s3aftnum4eAHOudra/b+3cqOhsP8DaGXZ6gztec77vGdqotB8k238IAj9XKvu9ayfIlAUlAEpAEJIH2JiCVh9YStn9N7q7TRPx0InGuQJvWCpP5JAFJQBKQBCSBzkNAui06T191qZp6M4N1qQbKxkgCTgJyrMuh0NkJeBvD0vLQ2XtV1l8SkAQkAUlAErjBBKTycIOBy+IkAUlAEpAEJIHOTkBxW3T2Rsj6SwKSgCQgCUgCkkD7EvCcmdndc6d9i5XSJQFJQBKQBCQBSaArEJBui67Qi7INkoAkIAlIApLADSQglYcbCFsWJQlIApKAJCAJdAUC/x99TwrPSxkxEAAAAABJRU5ErkJggg==" alt></p>
<p><em>Accept “none/no splitting” for singlet.</em></p>
<div class="question_part_label">f.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.</div>
</div>
<br><hr><br><div class="specification">
<p>Ethanol is obtained by the hydration of ethene, C<sub>2</sub>H<sub>4</sub>.</p>
</div>

<div class="specification">
<p>Alternative synthetic routes exist to produce alcohols.</p>
</div>

<div class="specification">
<p>Ethanol is obtained by the hydration of ethene, C<sub>2</sub>H<sub>4</sub>.</p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the class of compound to which ethene belongs.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the molecular formula of the next member of the homologous series to which ethene belongs.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Justify why ethene has only a single signal in its <sup>1</sup>H NMR spectrum.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the chemical shift of this signal. Use section 27 of the data booklet.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest <strong>two</strong> possible products of the incomplete combustion of ethene that would not be formed by complete combustion.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>A white solid was formed when ethene was subjected to high pressure.</p>
<p>Deduce the type of reaction that occurred.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Sketch the mechanism for the reaction of propene with hydrogen bromide using curly arrows.</p>
<div class="marks">[3]</div>
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain why the major organic product is 2-bromopropane and not 1-bromopropane.</p>
<div class="marks">[2]</div>
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain why the major organic product is 2-bromopropane and not&nbsp;1-bromopropane.</p>
<div class="marks">[2]</div>
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>2-bromopropane can be converted directly to propan-2-ol. Identify the reagent required.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Propan-2-ol can also be formed in one step from a compound containing a carbonyl group.</p>
<p>State the name of this compound and the type of reaction that occurs.</p>
<p><img 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" width="641" height="152"></p>
<div class="marks">[2]</div>
<div class="question_part_label">e(iv).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>alkene ✔</p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>C<sub>3</sub>H<sub>6</sub> ✔</p>
<p><em>Accept structural formula.</em></p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>hydrogen atoms/protons in same chemical environment ✔</p>
<p><em>Accept “all H atoms/protons are equivalent”.</em><br><em>Accept “symmetrical”</em></p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>4.5<strong> to</strong> 6.0 «ppm» ✔</p>
<p><em>Accept a single value within this range.</em></p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>carbon monoxide/CO <em><strong>AND</strong> </em>carbon/C/soot ✔</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«addition» polymerization ✔</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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"></p>
<p>curly arrow going from C=C to H of HBr <em><strong>AND</strong> </em>curly arrow showing Br leaving ✔</p>
<p>representation of carbocation ✔</p>
<p>curly arrow going from lone pair/negative charge on Br<sup>−</sup> to C<sup>+</sup> ✔</p>
<p><em><br>Award <strong>[2 max]</strong> for mechanism producing 1-brompropane.</em></p>
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«2-bromopropane involves» formation of more stable «secondary» carbocation/carbonium ion/intermediate<br><em><strong>OR</strong></em><br>1-bromopropane involves formation of less stable «primary» carbocation/carbonium ion/intermediate ✔</p>
<p>«increased» positive inductive/electron-releasing effect of extra–R group/–CH<sub>3</sub>/methyl «increases stability of secondary carbocation» ✔</p>
<p><em>Award <strong>[1]</strong> for “more stable due to positive inductive effect”.</em></p>
<p><em>Do not award marks for quoting Markovnikov’s rule without any explanation. </em></p>
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«2-bromopropane involves» formation of more stable «secondary» carbocation/carbonium ion/intermediate<br><strong>OR</strong><br>1-bromopropane involves formation of less stable «primary» carbocation/carbonium ion/intermediate ✔</p>
<p>«increased» positive inductive/electron-releasing effect of extra–R group/–CH<sub>3</sub>/methyl «increases stability of secondary carbocation» ✔</p>
<p><em><br>Award <strong>[1]</strong> for “more stable due to positive inductive effect”.<br>Do <strong>not</strong> award marks for quoting Markovnikov’s rule without any explanation.<br></em></p>
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>sodium hydroxide/NaOH/potassium hydroxide/KOH ✔</p>
<p><em>Accept «aqueous» hydroxide ions/OH<sup>−</sup></em></p>
<div class="question_part_label">e(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Name of carbonyl compound:</em><br>propanone ✔</p>
<p><em>Type of reaction:</em><br>reduction ✔</p>
<p><em><br>Accept other valid alternatives, such as “2-propyl ethanoate” for M1 and “hydrolysis” for M2.</em></p>
<div class="question_part_label">e(iv).</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e(iv).</div>
</div>
<br><hr><br><div class="specification">
<p>Urea, (H<sub>2</sub>N)<sub>2</sub>CO, is excreted by mammals and can be used as a fertilizer.</p>
</div>

<div class="specification">
<p>Urea can also be made by the direct combination of ammonia and carbon dioxide gases.</p>
<p style="text-align: center;">2NH<sub>3</sub>(g) + CO<sub>2</sub>(g) <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
  <mo stretchy="false">⇌<!-- ⇌ --></mo>
</math></span> (H<sub>2</sub>N)<sub>2</sub>CO(g) + H<sub>2</sub>O(g) &nbsp; &nbsp; Δ<em>H </em>&lt; 0</p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the percentage by mass of nitrogen in urea to two decimal places using section 6 of the data booklet.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest how the percentage of nitrogen affects the cost of transport of fertilizers giving a reason.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The structural formula of urea is shown.</p>
<p><img style="margin-right:auto;margin-left:auto;display: block;" src="images/Schermafbeelding_2018-08-07_om_11.43.42.png" alt="M18/4/CHEMI/HP2/ENG/TZ1/01.b_01"></p>
<p>Predict the electron domain and molecular geometries at the nitrogen and carbon atoms, applying the VSEPR theory.</p>
<p><img src="images/Schermafbeelding_2018-08-07_om_11.45.16.png" alt="M18/4/CHEMI/HP2/ENG/TZ1/01.b_02"></p>
<p> </p>
<div class="marks">[3]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Urea can be made by reacting potassium cyanate, KNCO, with ammonium chloride, NH<sub>4</sub>Cl.</p>
<p style="text-align: center;">KNCO(aq) + NH<sub>4</sub>Cl(aq) → (H<sub>2</sub>N)<sub>2</sub>CO(aq) + KCl(aq)</p>
<p>Determine the maximum mass of urea that could be formed from 50.0 cm<sup>3</sup> of 0.100 mol dm<sup>−3</sup> potassium cyanate solution.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the equilibrium constant expression, <em>K</em><sub>c</sub>.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Predict, with a reason, the effect on the equilibrium constant, <em>K</em><sub>c</sub>, when the temperature is increased.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine an approximate order of magnitude for <em>K</em><sub>c</sub>, using sections 1 and 2 of the data booklet. Assume Δ<em>G</em><sup>Θ</sup> for the forward reaction is approximately +50 kJ at 298 K.</p>
<div class="marks">[2]</div>
<div class="question_part_label">d.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest one reason why urea is a solid and ammonia a gas at room temperature.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Sketch two different hydrogen bonding interactions between ammonia and water.</p>
<div class="marks">[2]</div>
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The combustion of urea produces water, carbon dioxide and nitrogen.</p>
<p>Formulate a balanced equation for the reaction.</p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the maximum volume of CO<sub>2</sub>, in cm<sup>3</sup>, produced at STP by the combustion of 0.600 g of urea, using sections 2 and 6 of the data booklet.</p>
<div class="marks">[1]</div>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Describe the bond formation when urea acts as a ligand in a transition metal complex ion.</p>
<div class="marks">[2]</div>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The C–N bonds in urea are shorter than might be expected for a single C–N bond. Suggest, in terms of electrons, how this could occur.</p>
<div class="marks">[1]</div>
<div class="question_part_label">i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The mass spectrum of urea is shown below.</p>
<p><img style="margin-right:auto;margin-left:auto;display: block;" src="images/Schermafbeelding_2018-08-07_om_13.00.41.png" alt="M18/4/CHEMI/HP2/ENG/TZ1/01.j_01"></p>
<p>Identify the species responsible for the peaks at <em>m</em>/<em>z </em>= 60 and 44.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">j.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The IR spectrum of urea is shown below.</p>
<p><img style="margin-right:auto;margin-left:auto;display: block;" src="images/Schermafbeelding_2018-08-07_om_13.07.17.png" alt="M18/4/CHEMI/HP2/ENG/TZ1/01.k_01"></p>
<p>Identify the bonds causing the absorptions at 3450 cm<sup>−1</sup> and 1700 cm<sup>−1</sup> using section 26 of the data booklet.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">k.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Predict the number of signals in the <sup>1</sup>H NMR spectrum of urea.</p>
<div class="marks">[1]</div>
<div class="question_part_label">l.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Predict the splitting pattern of the <sup>1</sup>H NMR spectrum of urea.</p>
<div class="marks">[1]</div>
<div class="question_part_label">l.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline why TMS (tetramethylsilane) may be added to the sample to carry out <sup>1</sup>H NMR spectroscopy and why it is particularly suited to this role.</p>
<div class="marks">[2]</div>
<div class="question_part_label">l.iii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>molar mass of urea <strong>«</strong>4 <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \times ">
  <mo>×</mo>
</math></span> 1.01 + 2 <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \times ">
  <mo>×</mo>
</math></span> 14.01 + 12.01 + 16.00<strong>» </strong>= 60.07 <strong>«</strong>g mol<sup><sub>-1</sub></sup><strong>»</strong></p>
<p><strong>«</strong>% nitrogen = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{{\text{2}} \times {\text{14.01}}}}{{{\text{60.07}}}}">
  <mfrac>
    <mrow>
      <mrow>
        <mtext>2</mtext>
      </mrow>
      <mo>×</mo>
      <mrow>
        <mtext>14.01</mtext>
      </mrow>
    </mrow>
    <mrow>
      <mrow>
        <mtext>60.07</mtext>
      </mrow>
    </mrow>
  </mfrac>
</math></span> <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \times ">
  <mo>×</mo>
</math></span> 100 =<strong>» </strong>46.65 <strong>«</strong>%<strong>»</strong></p>
<p> </p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<p><em>Award </em><strong><em>[1 max] </em></strong><em>for final answer not to </em><em>two decimal places.</em></p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>«</strong>cost<strong>»</strong> increases <strong><em>AND </em></strong>lower N%<strong> «</strong>means higher cost of transportation per unit of nitrogen<strong>»</strong></p>
<p><strong><em>OR</em></strong></p>
<p><strong>«</strong>cost<strong>»</strong> increases <strong><em>AND </em></strong>inefficient/too much/about half mass not nitrogen</p>
<p> </p>
<p><em>Accept other reasonable explanations.</em></p>
<p><em>Do </em><strong><em>not </em></strong><em>accept answers referring to </em><em>safety/explosions.</em></p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2018-08-07_om_11.46.41.png" alt="M18/4/CHEMI/HP2/ENG/TZ1/01.b/M"></p>
<p> </p>
<p><em>Note: Urea’s structure is more complex </em><em>than that predicted from VSEPR theory.</em></p>
<p><em><strong>[3 marks]</strong></em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>n</em>(KNCO) <strong>«=</strong> 0.0500 dm<sup>3</sup> <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \times ">
  <mo>×</mo>
</math></span> 0.100 mol dm<sup>–3</sup><strong>» =</strong> 5.00 <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \times ">
  <mo>×</mo>
</math></span> 10<sup>–3</sup> <strong>«</strong>mol<strong>»</strong></p>
<p><strong>«</strong>mass of urea = 5.00 <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \times ">
  <mo>×</mo>
</math></span> 10<sup>–3</sup> mol <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \times ">
  <mo>×</mo>
</math></span> 60.07 g mol<sup>–1</sup><strong>» =</strong> 0.300 <strong>«</strong>g<strong>»</strong></p>
<p> </p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{K_{\text{c}}} = \frac{{[{{({{\text{H}}_2}{\text{N}})}_2}{\text{CO}}] \times [{{\text{H}}_2}{\text{O}}]}}{{{{[{\text{N}}{{\text{H}}_3}]}^2} \times [{\text{C}}{{\text{O}}_2}]}}">
  <mrow>
    <msub>
      <mi>K</mi>
      <mrow>
        <mtext>c</mtext>
      </mrow>
    </msub>
  </mrow>
  <mo>=</mo>
  <mfrac>
    <mrow>
      <mo stretchy="false">[</mo>
      <mrow>
        <msub>
          <mrow>
            <mo stretchy="false">(</mo>
            <mrow>
              <msub>
                <mrow>
                  <mtext>H</mtext>
                </mrow>
                <mn>2</mn>
              </msub>
            </mrow>
            <mrow>
              <mtext>N</mtext>
            </mrow>
            <mo stretchy="false">)</mo>
          </mrow>
          <mn>2</mn>
        </msub>
      </mrow>
      <mrow>
        <mtext>CO</mtext>
      </mrow>
      <mo stretchy="false">]</mo>
      <mo>×</mo>
      <mo stretchy="false">[</mo>
      <mrow>
        <msub>
          <mrow>
            <mtext>H</mtext>
          </mrow>
          <mn>2</mn>
        </msub>
      </mrow>
      <mrow>
        <mtext>O</mtext>
      </mrow>
      <mo stretchy="false">]</mo>
    </mrow>
    <mrow>
      <mrow>
        <msup>
          <mrow>
            <mo stretchy="false">[</mo>
            <mrow>
              <mtext>N</mtext>
            </mrow>
            <mrow>
              <msub>
                <mrow>
                  <mtext>H</mtext>
                </mrow>
                <mn>3</mn>
              </msub>
            </mrow>
            <mo stretchy="false">]</mo>
          </mrow>
          <mn>2</mn>
        </msup>
      </mrow>
      <mo>×</mo>
      <mo stretchy="false">[</mo>
      <mrow>
        <mtext>C</mtext>
      </mrow>
      <mrow>
        <msub>
          <mrow>
            <mtext>O</mtext>
          </mrow>
          <mn>2</mn>
        </msub>
      </mrow>
      <mo stretchy="false">]</mo>
    </mrow>
  </mfrac>
</math></span></p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>«</strong><em>K</em><sub>c</sub><strong>»</strong> decreases <strong><em>AND </em></strong>reaction is exothermic</p>
<p><strong><em>OR</em></strong></p>
<p><strong>«</strong><em>K</em><sub>c</sub><strong>»</strong> decreases <strong><em>AND</em></strong> Δ<em>H </em>is negative</p>
<p><strong><em>OR</em></strong></p>
<p><strong>«</strong><em>K</em><sub>c</sub><strong>»</strong> decreases <strong><em>AND </em></strong>reverse/endothermic reaction is favoured</p>
<p> </p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>ln <em>K </em><strong>« = </strong><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{ - \Delta {G^\Theta }}}{{RT}} = \frac{{ - 50 \times {{10}^3}{\text{ J}}}}{{8.31{\text{ J }}{{\text{K}}^{ - 1}}{\text{ mo}}{{\text{l}}^{ - 1}} \times 298{\text{ K}}}}">
  <mfrac>
    <mrow>
      <mo>−</mo>
      <mi mathvariant="normal">Δ</mi>
      <mrow>
        <msup>
          <mi>G</mi>
          <mi mathvariant="normal">Θ</mi>
        </msup>
      </mrow>
    </mrow>
    <mrow>
      <mi>R</mi>
      <mi>T</mi>
    </mrow>
  </mfrac>
  <mo>=</mo>
  <mfrac>
    <mrow>
      <mo>−</mo>
      <mn>50</mn>
      <mo>×</mo>
      <mrow>
        <msup>
          <mrow>
            <mn>10</mn>
          </mrow>
          <mn>3</mn>
        </msup>
      </mrow>
      <mrow>
        <mtext> J</mtext>
      </mrow>
    </mrow>
    <mrow>
      <mn>8.31</mn>
      <mrow>
        <mtext> J </mtext>
      </mrow>
      <mrow>
        <msup>
          <mrow>
            <mtext>K</mtext>
          </mrow>
          <mrow>
            <mo>−</mo>
            <mn>1</mn>
          </mrow>
        </msup>
      </mrow>
      <mrow>
        <mtext> mo</mtext>
      </mrow>
      <mrow>
        <msup>
          <mrow>
            <mtext>l</mtext>
          </mrow>
          <mrow>
            <mo>−</mo>
            <mn>1</mn>
          </mrow>
        </msup>
      </mrow>
      <mo>×</mo>
      <mn>298</mn>
      <mrow>
        <mtext> K</mtext>
      </mrow>
    </mrow>
  </mfrac>
</math></span> <strong>»</strong> = –20</p>
<p> </p>
<p><strong>«</strong><em>K</em><sub>c</sub> =<strong>»</strong> 2 <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \times ">
  <mo>×</mo>
</math></span> 10<sup>–9</sup></p>
<p><strong><em>OR</em></strong></p>
<p>1.69 <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \times ">
  <mo>×</mo>
</math></span> 10<sup>–9</sup></p>
<p><strong><em>OR</em></strong></p>
<p>10<sup>–9</sup></p>
<p> </p>
<p><em>Accept range of 20-20.2 for M1.</em></p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">d.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any one of:</em></p>
<p>urea has greater molar mass</p>
<p>urea has greater electron density/greater London/dispersion</p>
<p>urea has more hydrogen bonding</p>
<p>urea is more polar/has greater dipole moment</p>
<p> </p>
<p><em>Accept “urea has larger size/greater </em><em>van der Waals forces”.</em></p>
<p><em>Do </em><strong><em>not </em></strong><em>accept “urea has greater </em><em>intermolecular forces/IMF”.</em></p>
<p> </p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2018-08-07_om_12.44.01.png" alt="M18/4/CHEMI/HP2/ENG/TZ1/01.e.ii/M"></p>
<p><em>Award </em><strong><em>[1] </em></strong><em>for each correct interaction.</em></p>
<p> </p>
<p><em>If lone pairs are shown on N or O, then </em><em>the lone pair on N or one of the lone </em><em>pairs on O </em><strong><em>MUST </em></strong><em>be involved in the </em><em>H-bond.</em></p>
<p><em>Penalize solid line to represent </em><em>H-bonding only once.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>2(H<sub>2</sub>N)<sub>2</sub>CO(s) + 3O<sub>2</sub>(g) → 4H<sub>2</sub>O(l) + 2CO<sub>2</sub>(g) + 2N<sub>2</sub>(g)</p>
<p>correct coefficients on LHS</p>
<p>correct coefficients on RHS</p>
<p> </p>
<p><em>Accept (H</em><sub><em>2</em></sub><em>N)</em><sub><em>2</em></sub><em>CO(s) +</em> <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{3}{2}">
  <mfrac>
    <mn>3</mn>
    <mn>2</mn>
  </mfrac>
</math></span><em>O</em><sub><em>2</em></sub><em>(g) → </em><em>2H</em><sub><em>2</em></sub><em>O(l) +</em> <em>CO</em><sub><em>2</em></sub><em>(g) +</em> <em>N</em><sub><em>2</em></sub><em>(g).</em></p>
<p><em>Accept any correct ratio.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>«</strong>V = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{{\text{0.600 g}}}}{{{\text{60.07 g mo}}{{\text{l}}^{ - 1}}}}">
  <mfrac>
    <mrow>
      <mrow>
        <mtext>0.600 g</mtext>
      </mrow>
    </mrow>
    <mrow>
      <mrow>
        <mtext>60.07 g mo</mtext>
      </mrow>
      <mrow>
        <msup>
          <mrow>
            <mtext>l</mtext>
          </mrow>
          <mrow>
            <mo>−</mo>
            <mn>1</mn>
          </mrow>
        </msup>
      </mrow>
    </mrow>
  </mfrac>
</math></span> <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \times ">
  <mo>×</mo>
</math></span> 22700 cm<sup>3</sup> mol<sup>–1</sup> =<strong>» </strong>227 <strong>«</strong>cm<sup>3</sup><strong>»</strong></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>lone/non-bonding electron pairs <strong>«</strong>on nitrogen/oxygen/ligand<strong>» </strong>given to/shared with metal ion</p>
<p>co-ordinate/dative/covalent bonds</p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>lone pairs on nitrogen atoms can be donated to/shared with C–N bond</p>
<p><strong><em>OR</em></strong></p>
<p>C–N bond partial double bond character</p>
<p><strong><em>OR</em></strong></p>
<p>delocalization <strong>«</strong>of electrons occurs across molecule<strong>»</strong></p>
<p><strong><em>OR</em></strong></p>
<p>slight positive charge on C due to C=O polarity reduces C–N bond length</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>60</em>: CON<sub>2</sub>H<sub>4</sub><sup>+</sup></p>
<p><em>44</em>: CONH<sub>2</sub><sup>+</sup></p>
<p> </p>
<p><em>Accept “molecular ion”.</em></p>
<p> </p>
<p> </p>
<p><em><strong>[2 marks]</strong><br></em></p>
<div class="question_part_label">j.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>3450 cm</em><sup><em>–</em><em>1</em></sup><em>:</em> N–H</p>
<p><em>1700 cm</em><sup><em>–</em><em>1</em></sup><em>:</em> C=O</p>
<p> </p>
<p><em>Do </em><strong><em>not </em></strong><em>accept “O</em><em>–</em><em>H” for 3450 cm</em><sup><em>–1</em></sup><em>.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">k.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>1</p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">l.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>singlet</p>
<p> </p>
<p><em>Accept “no splitting”.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">l.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>acts as internal standard</p>
<p><strong><em>OR</em></strong></p>
<p>acts as reference point</p>
<p> </p>
<p>one strong signal</p>
<p><strong><em>OR</em></strong></p>
<p>12 H atoms in same environment</p>
<p><strong><em>OR</em></strong></p>
<p>signal is well away from other absorptions</p>
<p> </p>
<p><em>Accept “inert” or “readily removed” or </em><em>“non-toxic” for M1.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">l.iii.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">j.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">k.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">l.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">l.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">l.iii.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Benzoic acid, C<sub>6</sub>H<sub>5</sub>COOH, is another derivative of benzene.</span></p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<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>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Identify the spectroscopic technique that is used to measure the bond lengths in solid benzoic acid.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Outline <strong>one</strong> piece of physical evidence for the structure of the benzene ring.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<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>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<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>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<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>
<div class="marks">[2]</div>
<div class="question_part_label">f(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Formulate the equation for the complete combustion of benzoic acid in oxygen using only integer coefficients.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">f(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<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>
<div class="marks">[1]</div>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<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>
<div class="marks">[1]</div>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<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>
<div class="marks">[1]</div>
<div class="question_part_label">i.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">X-ray «crystallography/spectroscopy» <strong>[✔]</strong></span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Any one of:</em></span></p>
<p><span style="background-color: #ffffff;">«regular» hexagon</span></p>
<p><span style="background-color: #ffffff;"><em><strong>OR</strong></em></span></p>
<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>
<p><span style="background-color: #ffffff;"><em><strong>OR</strong></em></span></p>
<p><span style="background-color: #ffffff;">bond order 1.5 <strong>[✔]</strong></span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/2d.PNG" alt width="482" height="158">      <strong>[<span style="background-color: #ffffff;">✔</span>]</strong></p>
<p> </p>
<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>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">electrons delocalized «across the O–C–O system»</span></p>
<p><span style="background-color: #ffffff;"><em><strong>OR</strong></em></span></p>
<p><span style="background-color: #ffffff;">resonance occurs <strong>[✔]</strong></span></p>
<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>
<p> </p>
<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>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<p><span style="background-color: #ffffff;"><br>«[OH<sup>−</sup>] = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" 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}}}}">
  <mfrac>
    <mrow>
      <mn>1.00</mn>
      <mo>×</mo>
      <mrow>
        <msup>
          <mrow>
            <mn>10</mn>
          </mrow>
          <mrow>
            <mo>−</mo>
            <mn>14</mn>
          </mrow>
        </msup>
      </mrow>
      <mrow>
        <mtext> mo</mtext>
      </mrow>
      <mrow>
        <msup>
          <mrow>
            <mtext>l</mtext>
          </mrow>
          <mn>2</mn>
        </msup>
      </mrow>
      <mrow>
        <mtext> d</mtext>
      </mrow>
      <mrow>
        <msup>
          <mrow>
            <mtext>m</mtext>
          </mrow>
          <mrow>
            <mo>−</mo>
            <mn>6</mn>
          </mrow>
        </msup>
      </mrow>
    </mrow>
    <mrow>
      <mn>1.22</mn>
      <mo>×</mo>
      <mrow>
        <msup>
          <mrow>
            <mn>10</mn>
          </mrow>
          <mrow>
            <mo>−</mo>
            <mn>3</mn>
          </mrow>
        </msup>
      </mrow>
      <mrow>
        <mtext> mol d</mtext>
      </mrow>
      <mrow>
        <msup>
          <mrow>
            <mtext>m</mtext>
          </mrow>
          <mrow>
            <mo>−</mo>
            <mn>3</mn>
          </mrow>
        </msup>
      </mrow>
    </mrow>
  </mfrac>
</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>
<p> </p>
<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>
<p> </p>
<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>
<div class="question_part_label">f(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">f(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Oxidized</em>:</span></p>
<p><span style="background-color: #ffffff;">C/carbon «in C<sub>6</sub>H<sub>5</sub>COOH»</span></p>
<p><span style="background-color: #ffffff;"><em><strong>AND</strong></em></span></p>
<p><span style="background-color: #ffffff;"><em>Reduced</em>:</span></p>
<p><span style="background-color: #ffffff;">O/oxygen «in O<sub>2</sub>»      <strong>[✔]</strong></span></p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«intermolecular» hydrogen bonding    <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Accept diagram showing hydrogen bonding.</span></em></p>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">lithium aluminium hydride/LiAlH<sub>4</sub>    <strong>[✔]</strong></span></p>
<div class="question_part_label">i.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Most candidates could identify a wavenumber or range of wavenumbers in the IR spectrum of benzoic acid.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally well done with a few calculating the pOH rather than the concentration of hydroxide ion asked for.</p>
<div class="question_part_label">f(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most earned at least one mark by correctly stating the products of the reaction.</p>
<div class="question_part_label">f(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">i.</div>
</div>
<br><hr><br><div class="specification">
<p>Carbon dioxide contributes significantly to global warming. It can be used as a raw material with methyloxirane to form polymers.</p>
<p style="text-align: center;"><img 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"></p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest why the three-membered ring in methyloxirane is unstable.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Draw <strong>two</strong> structural isomers of methyloxirane.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State, giving a reason, whether methyloxirane can form<em> cis-trans</em> isomers.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Predict the chemical shift and splitting pattern of the signal produced by the hydrogen atoms labelled <strong>X</strong> in the <sup>1</sup>H NMR spectrum of the polymer. Use section 27 of the data booklet.</p>
<p><img 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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>angle between bonds is 60°/strained/smaller than 109.5° ✔</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any two of:</em><br>CH<sub>3</sub>COCH<sub>3</sub> ✔</p>
<p>CH<sub>3</sub>CH<sub>2</sub>CHO ✔</p>
<p>CH<sub>2</sub>=CHCH<sub>2</sub>OH ✔</p>
<p>CH<sub>3</sub>OCH=CH<sub>2</sub> ✔</p>
<p><img src="data:image/png;base64,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"></p>
<p> </p>
<p><em>Accept displayed or condensed structural formulas or skeletal formulas.</em></p>
<p><em>Accept CH(OH)=CHCH<sub>3</sub> and CH<sub>2</sub>=C(OH)CH<sub>3</sub>.</em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>no <em><strong>AND</strong> </em>only one «axial/methyl/CH<sub>3</sub>» substituent «at the ring»</p>
<p><em><strong>OR</strong></em></p>
<p>no <em><strong>AND</strong> </em>two «axial» substituents required «for cis/trans-isomers» ✔</p>
<p> </p>
<p>Accept “no <em><strong>AND</strong> </em>«O in the ring and» one carbon has two H atoms”.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Chemical shift:</em><br>3.7–4.8 «ppm» ✔</p>
<p><em>Splitting pattern:</em><br>doublet ✔</p>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p>Nitric acid is usually produced by the oxidation of ammonia.</p>
</div>

<div class="specification">
<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>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Draw arrows in the boxes to represent the electron configuration of a nitrogen atom.</p>
<p style="text-align:left;"><img src="data:image/png;base64,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"></p>
<div class="marks">[1]</div>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<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>
<div class="marks">[2]</div>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain the relative lengths of the three bonds between N and O in nitric acid.</p>
<div class="marks">[3]</div>
<div class="question_part_label">a(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State a technique used to determine the length of the bonds between N and O in solid HNO<sub>3</sub>.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a(iv).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Write an equation for the reaction between the acids to produce the electrophile, NO<sub>2</sub><sup>+</sup>.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Draw the structural formula of the carbocation intermediate produced when this electrophile attacks benzene.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<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>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">b(iii).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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"></p>
<p><em><br>Accept <strong>all</strong> 2p electrons pointing downwards.</em></p>
<p><em>Accept half arrows instead of full arrows.</em></p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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" width="188" height="139"></p>
<p>bonds and non-bonding pairs correct ✔</p>
<p>formal charges correct ✔</p>
<p> </p>
<p><em>Accept dots, crosses or lines to represent electron pairs.</em></p>
<p><em>Do <strong>not</strong> accept resonance structures with delocalised bonds/electrons.</em></p>
<p><em>Accept + and – sign respectively.</em></p>
<p><em>Do not accept a bond between nitrogen and hydrogen.</em></p>
<p><em>For an incorrect Lewis structure, allow ECF for non-zero formal charges.</em></p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any three of:</em></p>
<p>two N-O same length/order ✔<br>delocalization/resonance ✔</p>
<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>
<p> </p>
<p><em>Award <strong>[2 max]</strong> if bond strength, rather than bond length discussed.</em></p>
<p><em>Accept N-O between single and double bond <strong>AND</strong> N-OH single bond.</em></p>
<div class="question_part_label">a(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>X-ray crystallography ✔</p>
<div class="question_part_label">a(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>HNO<sub>3</sub> + 2H<sub>2</sub>SO<sub>4</sub> <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⇌</mo></math> NO<sub>2</sub><sup>+</sup> + H<sub>3</sub>O<sup>+</sup> + 2HSO<sub>4</sub><sup>-</sup> ✔</p>
<p> </p>
<p><em>Accept “HNO<sub>3</sub> + H<sub>2</sub>SO<sub>4</sub> <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⇌</mo></math> NO<sub>2</sub><sup>+</sup> + H<sub>2</sub>O + HSO<sub>4</sub><sup>-</sup>”.</em></p>
<p><em>Accept “HNO<sub>3</sub> + H<sub>2</sub>SO<sub>4</sub> <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><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 xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⇌</mo></math> NO<sub>2</sub><sup>+</sup> + H<sub>2</sub>O”.</em></p>
<p><em>Accept single arrows instead of equilibrium signs.</em></p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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" width="243" height="200"></p>
<p> </p>
<p><em>Accept any of the five structures.</em></p>
<p><em>Do <strong>not</strong> accept structures missing the positive charge.</em></p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Number of signals</em>: three/3 ✔</p>
<p><em>Relative areas</em>: 2 : 2 : 1 ✔</p>
<div class="question_part_label">b(iii).</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Drawing arrows in the boxes to represent the electron configuration of a nitrogen atom was done extremely well.</p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">a(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">a(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Many had difficulties writing the balanced equation(s) for the formation of the nitronium ion.</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Again, many had difficulty drawing the structural formula of the carbocation intermediate produced in the reaction.</p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">b(iii).</div>
</div>
<br><hr><br><div class="specification">
<p>Organic compounds often have isomers.</p>
<p>A straight chain molecule of formula C<sub>5</sub>H<sub>10</sub>O contains a carbonyl group. The compound&nbsp;cannot be oxidized by acidified potassium dichromate(VI) solution.</p>
</div>

<div class="specification">
<p>A tertiary halogenoalkane with three different alkyl groups, (R<sub>1</sub>R<sub>2</sub>R<sub>3</sub>)C−X, undergoes a&nbsp;S<sub>N</sub>1 reaction and forms two isomers.</p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the structural formulas of the two possible isomers.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Mass spectra <strong>A </strong>and <strong>B </strong>of the two isomers are given.</p>
<p><img src="images/Schermafbeelding_2018-08-08_om_16.37.09.png" alt="M18/4/CHEMI/HP2/ENG/TZ2/09.a.ii_01"></p>
<p>Explain which spectrum is produced by each compound using section 28 of the data booklet.</p>
<p><img src="data:image/png;base64,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"></p>
<p> </p>
<div class="marks">[2]</div>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the type of bond fission that takes place in a S<sub>N</sub>1 reaction.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the type of solvent most suitable for the reaction.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Draw the structure of the intermediate formed stating its shape.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest, giving a reason, the percentage of each isomer from the S<sub>N</sub>1 reaction.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Nitrobenzene, C<sub>6</sub>H<sub>5</sub>NO<sub>2</sub>, can be converted to phenylamine via a two-stage reaction.</p>
<p>In the first stage, nitrobenzene is reduced with tin in an acidic solution to form an intermediate ion and tin(II) ions. In the second stage, the intermediate ion is converted to phenylamine in the presence of hydroxide ions.</p>
<p>Formulate the equation for each stage of the reaction.</p>
<p><img src="data:image/png;base64,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"></p>
<p> </p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2018-08-08_om_16.55.28.png" alt="M18/4/CHEMI/HP2/ENG/TZ2/09.a.i/M"></p>
<p> </p>
<p><em>Accept condensed formulas.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong><em>A:</em></strong></p>
<p>CH<sub>3</sub>CH<sub>2</sub>COCH<sub>2</sub>CH<sub>3</sub> <strong><em>AND </em></strong><strong>«</strong>peak at<strong>» </strong>29 due to</p>
<p>(CH<sub>3</sub>CH<sub>2</sub>)<sup>+</sup>/(C<sub>2</sub>H<sub>5</sub>)<sup>+</sup>/(M – CH<sub>3</sub>CH<sub>2</sub>CO)<sup>+</sup></p>
<p><strong><em>OR</em></strong></p>
<p>CH<sub>3</sub>CH<sub>2</sub>COCH<sub>2</sub>CH<sub>3</sub> <strong><em>AND </em></strong><strong>«</strong>peak at<strong>» </strong>57 due to</p>
<p>(CH<sub>3</sub>CH<sub>2</sub>CO)<sup>+</sup>/(M – CH<sub>3</sub>CH<sub>2</sub>)<sup>+</sup>/(M – C<sub>2</sub>H<sub>5</sub>)<sup>+</sup></p>
<p> </p>
<p><strong><em>B:</em></strong></p>
<p>CH<sub>3</sub>COCH<sub>2</sub>CH<sub>2</sub>CH<sub>3</sub> <strong><em>AND </em></strong><strong>«</strong>peak at<strong>» </strong>43 due to</p>
<p>(CH<sub>3</sub>CH<sub>2</sub>CH<sub>2</sub>)<sup>+</sup>/(CH<sub>3</sub>CO)<sup>+</sup>/(C<sub>2</sub>H<sub>3</sub>O)<sup>+</sup>/(M – CH<sub>3</sub>CO)<sup>+</sup></p>
<p> </p>
<p><em>Penalize missing “</em><em>+</em><em>” sign once only.</em></p>
<p><em>Accept “CH</em><sub><em>3</em></sub><em>COCH</em><sub><em>2</em></sub><em>CH</em><sub><em>2</em></sub><em>CH</em><sub><em>3 </em></sub><em>by </em><em>elimination since fragment CH</em><sub><em>3</em></sub><em>CO is not </em><em>listed” for M2.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>heterolytic/heterolysis</p>
<p> </p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>polar protic</p>
<p> </p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2018-08-08_om_16.52.34.png" alt="M18/4/CHEMI/HP2/ENG/TZ2/09.b.ii/M"></p>
<p><em>Shape:</em> triangular/trigonal planar</p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>«</strong>around<strong>» </strong>50% <strong>«</strong>each<strong>»</strong></p>
<p><strong><em>OR</em></strong></p>
<p>similar/equal percentages</p>
<p> </p>
<p>nucleophile can attack from either side <strong>«</strong>of the planar carbocation<strong>»</strong></p>
<p> </p>
<p><em>Accept “racemic mixture/racemate” for </em><em>M1.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Stage one:</em></p>
<p>C<sub>6</sub>H<sub>5</sub>NO<sub>2</sub>(l) + 3Sn(s) + 7H<sup>+</sup>(aq) → C<sub>6</sub>H<sub>5</sub>NH<sub>3</sub><sup>+</sup>(aq) + 3Sn<sup>2+</sup>(aq) + 2H<sub>2</sub>O(l)</p>
<p> </p>
<p><em>Stage two:</em></p>
<p>C<sub>6</sub>H<sub>5</sub>NH<sub>3</sub><sup>+</sup>(aq) + OH<sup>–</sup>(aq) → C<sub>6</sub>H<sub>5</sub>NH<sub>2</sub>(l) + H<sub>2</sub>O(l)</p>
<p> </p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p>A 4.406&thinsp;g sample of a compound containing only C, H and O was burnt in excess oxygen.&nbsp;8.802&thinsp;g of CO<sub>2</sub> and 3.604&thinsp;g of H<sub>2</sub>O were produced.</p>
</div>

<div class="specification">
<p>The following spectrums show the Infrared spectra of propan-1-ol, propanal and propanoic acid.</p>
<p><img style="display: block; margin-left: auto; margin-right: auto;" src="data:image/png;base64,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"></p>
<p style="text-align: center;"><em>NIST Mass Spectrometry Data Center Collection &copy; 2021 copyright by the U.S. Secretary of Commerce on behalf of&nbsp;</em><em>the United States of America. All rights reserved. Available at: https://webbook.nist.gov/cgi/cbook.cgi?ID=C71238&amp;Units=SI&amp;Type=IRSPEC&amp;Index=3#IR-SPEC [Accessed 6 May 2020]. Source adapted.</em></p>
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"></p>
<p style="text-align: center;"><em>NIST Mass Spectrometry Data Center Collection &copy; 2021 copyright by the U.S. Secretary of Commerce on behalf of&nbsp;</em><em>the United States of America. Available at: https://webbook.nist.gov/cgi/cbook.cgi?ID=C79094&amp;Units=SI&amp;Mask=80#IR-Spec [Accessed 6 May 2020]. Source adapted.</em></p>
<p><img style="display: block; margin-left: auto; margin-right: auto;" 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"></p>
<p style="text-align: center;"><em>NIST Mass Spectrometry Data Center Collection &copy; 2021 copyright by the U.S. Secretary of Commerce on behalf of the United States of America. Available at: https://webbook.nist.gov/cgi/cbook.cgi?Name=propanal&amp;Units=SI&amp;cIR=on&amp;cTZ=on#IRSpec [Accessed 6 May 2020]. Source adapted.</em></p>
</div>

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<p>Determine the empirical formula of the compound using section 6 of the data booklet.</p>
<div class="marks">[3]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine the molecular formula of this compound if its molar mass is 88.12 g mol<sup>−1</sup>. If you did not obtain an answer in (a) use CS, but this is not the correct answer.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Identify each compound from the spectra given, use absorptions from the range of 1700 cm<sup>−1</sup> to 3500 cm<sup>−1</sup>. Explain the reason for your choice, referring to section 26 of the data booklet.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[3]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Predict the number of <sup>1</sup>H NMR signals, and splitting pattern of the –CH<sub>3</sub> seen for propanone (CH<sub>3</sub>COCH<sub>3</sub>) and propanal (CH<sub>3</sub>CH<sub>2</sub>CHO).</p>
<p><img 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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Predict the fragment that is responsible for a <em>m/z</em> of 31 in the mass spectrum of propan‑1‑ol. Use section 28 of the data booklet.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>«<math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfrac><mrow><mn>8</mn><mo>.</mo><mn>802</mn><mo> </mo><mi mathvariant="normal">g</mi></mrow><mrow><mn>44</mn><mo>.</mo><mn>01</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></math>» 0.2000 «mol of C/CO<sub>2</sub>»</p>
<p><em><strong>AND</strong></em> «<math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfrac><mrow><mn>3</mn><mo>.</mo><mn>604</mn><mo> </mo><mi mathvariant="normal">g</mi></mrow><mrow><mn>18</mn><mo>.</mo><mn>02</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></math>» 0.2000 «mol of H<sub>2</sub>O»/0.4000 «mol of H»</p>
<p><em><strong>OR</strong></em></p>
<p><em><strong> </strong></em>«<math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfrac><mrow><mn>8</mn><mo>.</mo><mn>802</mn><mo> </mo><mi mathvariant="normal">g</mi></mrow><mrow><mn>44</mn><mo>.</mo><mn>01</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><mn>12</mn><mo>.</mo><mn>01</mn><mo> </mo><mi mathvariant="normal">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></math>» 2.402 «g of C»</p>
<p><em><strong>OR</strong></em></p>
<p>«<math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfrac><mrow><mn>3</mn><mo>.</mo><mn>604</mn><mo> </mo><mi mathvariant="normal">g</mi></mrow><mrow><mn>18</mn><mo>.</mo><mn>02</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><mn>2</mn><mo>×</mo><mn>1</mn><mo>.</mo><mn>01</mn><mo> </mo><mi mathvariant="normal">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>=</mo></math>» 0.404 «g of H» ✔</p>
<p> </p>
<p>«4.406 g − 2.806 g» = 1.600 «g of O» ✔</p>
<p><br>«<math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfrac><mrow><mn>2</mn><mo>.</mo><mn>402</mn><mo> </mo><mi mathvariant="normal">g</mi></mrow><mrow><mn>12</mn><mo>.</mo><mn>01</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><mn>0</mn><mo>.</mo><mn>2000</mn><mo> </mo><mi>mol</mi><mo> </mo><mi mathvariant="normal">C</mi><mo>;</mo><mo> </mo><mfrac><mrow><mn>0</mn><mo>.</mo><mn>404</mn><mo> </mo><mi mathvariant="normal">g</mi></mrow><mrow><mn>1</mn><mo>.</mo><mn>01</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><mn>0</mn><mo>.</mo><mn>400</mn><mo> </mo><mi>mol</mi><mo> </mo><mi mathvariant="normal">H</mi><mo>;</mo><mo> </mo><mfrac><mrow><mn>1</mn><mo>.</mo><mn>600</mn><mo> </mo><mi mathvariant="normal">g</mi></mrow><mrow><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></mrow></mfrac><mo>=</mo><mn>0</mn><mo>.</mo><mn>1000</mn><mo> </mo><mi>mol</mi><mo> </mo><mi mathvariant="normal">O</mi></math>»</p>
<p>C<sub>2</sub>H<sub>4</sub>O ✔</p>
<p> </p>
<p><em>Award <strong>[3]</strong> for correct final answer.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«<math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfrac><mrow><mn>88</mn><mo>.</mo><mn>12</mn><mo> </mo><mi mathvariant="normal">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow><mrow><mn>44</mn><mo>.</mo><mn>06</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><mn>2</mn></math>» C<sub>4</sub>H<sub>8</sub>O<sub>2</sub> ✔</p>
<p><em><br></em><em>C<sub>2</sub>S<sub>2</sub> if CS used.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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"><img 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"></p>
<p><em><br>Award <strong>[1 max]</strong> for correctly identifying all 3 compounds without valid reasons given.</em></p>
<p><em>Accept specific values of wavenumbers within each range.</em></p>
<div class="question_part_label">c.</div>
</div>
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<p><img 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"></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>CH<sub>3</sub>O<sup>+ </sup>✔</p>
<p><em><br>Accept any structure i.e. “CH<sub>2</sub>OH<sup>+</sup>”.</em></p>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Ethyne, C<sub>2</sub>H<sub>2</sub>, reacts with oxygen in welding torches.</span></p>
</div>

<div class="specification">
<p><span style="background-color: #ffffff;">Ethyne reacts with steam.</span></p>
<p><span style="background-color: #ffffff;">C<sub>2</sub>H<sub>2</sub> (g) + H<sub>2</sub>O (g) → C<sub>2</sub>H<sub>4</sub>O (g)</span></p>
<p><span style="background-color: #ffffff;">Two possible products are:</span></p>
<p><span style="background-color: #ffffff;"><img src="images/4c.PNG" alt width="316" height="190"></span></p>
</div>

<div class="specification">
<p><span style="background-color: #ffffff;">Product <strong>B</strong>, CH<sub>3</sub>CHO, can also be synthesized from ethanol.</span></p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Write an equation for the complete combustion of ethyne.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Deduce the Lewis (electron dot) structure of ethyne.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Compare, giving a reason, the length of the bond between the carbon atoms in ethyne with that in ethane, C<sub>2</sub>H<sub>6</sub>.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Identify the type of interaction that must be overcome when liquid ethyne vaporizes.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">State the name of product <strong>B</strong>, applying IUPAC rules.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Determine the enthalpy change for the reaction, in kJ, to produce <strong>A</strong> using section 11 of the data booklet.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">The enthalpy change for the reaction to produce B is −213 kJ.</span></p>
<p><span style="background-color: #ffffff;">Predict, giving a reason, which product is the most stable.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">The IR spectrum and low resolution <sup>1</sup>H NMR spectrum of the actual product formed are shown.</span></p>
<p><span style="background-color: #ffffff;"><img src="images/1civ.PNG" alt width="606" height="608"></span></p>
<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;">Deduce whether the product is </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;">A</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;"> or </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;">B</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;">, using evidence from these spectra together with sections 26 and 27 of the  data booklet.</span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Identity of product:</span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">One piece of evidence from IR:</span></span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;"><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">One piece of evidence from <sup>1</sup>H NMR:</span></span></span></span></p>
<p> </p>
<div class="marks">[2]</div>
<div class="question_part_label">c(iv).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Deduce the splitting pattern you would expect for the signals in a high resolution <sup>1</sup>H NMR spectrum.</span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">2.3 ppm:</span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">9.8 ppm:</span></span></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">c(v).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Suggest the reagents and conditions required to ensure a good yield of product <strong>B</strong>.</span></p>
<p><span style="background-color: #ffffff;">Reagents: </span></p>
<p><span style="background-color: #ffffff;">Conditions:</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Deduce the average oxidation state of carbon in product <strong>B</strong>.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Explain why product <strong>B</strong> is water soluble.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">d(iii).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">C<sub>2</sub>H<sub>2</sub> (g) + 2.5O<sub>2</sub> (g) → 2CO<sub>2</sub> (g) + H<sub>2</sub>O (l)</span></p>
<p><span style="background-color: #ffffff;"><em><strong>OR</strong></em></span></p>
<p><span style="background-color: #ffffff;">2C<sub>2</sub>H<sub>2</sub> (g) + 5O<sub>2</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> 4CO<sub>2</sub> (g) + 2H<sub>2</sub>O (l)    <strong>[✔]</strong></span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/1bi.PNG" alt width="291" height="27">     <strong>[<span style="background-color: #ffffff;">✔</span>]</strong></p>
<p> </p>
<p><em><strong>Note: </strong><span style="background-color: #ffffff;">Accept any valid combination of lines, dots and crosses.</span></em></p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«ethyne» shorter <em><strong>AND</strong> </em>a greater number of shared/bonding electrons</span></p>
<p><em><strong><span style="background-color: #ffffff;">OR</span></strong></em></p>
<p><span style="background-color: #ffffff;">«ethyne» shorter <em><strong>AND</strong> </em>stronger bond     <strong>[✔]</strong></span></p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">London/dispersion/instantaneous dipole-induced dipole forces    <strong>[✔]</strong></span></p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">ethanal    <strong>[✔]</strong></span></p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«sum of bond enthalpies of reactants =» 2(C<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>H)+C ≡ C + 2(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: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">—</span>H)<br></span><span style="background-color: #ffffff;"><em><strong>OR<br></strong></em></span><span style="background-color: #ffffff;">2 × 414 «kJ mol<sup>-1</sup>» + 839 «kJ mol<sup>-1</sup>» + 2 × 463 «kJ mol<sup>-1</sup>»<br></span><span style="background-color: #ffffff;"><em><strong>OR<br></strong></em></span><span style="background-color: #ffffff;">2593 «kJ»    <strong>[✔]</strong></span></p>
<p> </p>
<p><span style="background-color: #ffffff;">«sum of bond enthalpies of A =» 3(C<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>H) + C=C + C—O + O—H<br><em><strong>OR</strong></em><br>3 × 414 «kJ mol<sup>-1</sup>» + 614 «kJ mol<sup>-1</sup>» + 358 «kJ mol<sup>-1</sup>» + 463 «kJ mol<sup>-1</sup>»<br><em><strong>OR</strong></em><br>2677 «kJ»     <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>«enthalpy of reaction = 2593 kJ – 2677 kJ» = –84 «kJ»     <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>
<p> </p>
<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>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">B <em><strong>AND</strong> </em>it has a more negative/lower enthalpy/«potential» energy</span></p>
<p><span style="background-color: #ffffff;"><em><strong>OR</strong></em></span></p>
<p><span style="background-color: #ffffff;">B <em><strong>AND</strong> </em>more exothermic «enthalpy of reaction from same starting point»     <strong>[✔]</strong></span></p>
<div class="question_part_label">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Identity of product:</em> «<strong>B</strong>»</span></p>
<p><span style="background-color: #ffffff;"><em>IR spectrum:</em><br>1700–1750 «cm<sup>–1</sup> band» <em><strong>AND</strong> </em>carbonyl/CO group present<br><em><strong>OR</strong></em><br>no «band at» 1620–1680 «cm<sup>–1</sup>» <em><strong>AND</strong> </em>absence of double bond/C=C<br><em><strong>OR</strong></em><br>no «broad band at» 3200–3600 «cm<sup>–1</sup> » <em><strong>AND</strong> </em>absence of hydroxyl/OH group    <strong>[✔]</strong><br></span></p>
<p><span style="background-color: #ffffff;"><em><sup>1</sup>H NMR spectrum:</em><br>«only» two signals <em><strong>AND</strong> </em>A would have three<br><em><strong>OR</strong></em><br>«signal at» 9.4–10.0 «ppm» <em><strong>AND</strong> </em>«H atom/proton of» aldehyde/–CHO present<br><em><strong>OR</strong></em><br>«signal at» 2.2–2.7 «ppm» <em><strong>AND</strong> </em>«H atom/proton of alkyl/CH next to» aldehyde/CHO present<br><em><strong>OR</strong></em><br>«signal at» 2.2–2.7 «ppm» <em><strong>AND</strong> </em>«H atom/proton of» RCOCH<sub>2-</sub> present<br><em><strong>OR</strong></em><br>no «signal at» 4.5–6.0 «ppm» <em><strong>AND</strong> </em>absence of «H atom/proton next to» double bond/C=C ✔</span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note</strong>: Accept a specific value or range of wavenumbers and chemical shifts.</span></em></p>
<p><em><span style="background-color: #ffffff;">Accept “two signals with areas 1:3”.</span></em></p>
<div class="question_part_label">c(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">2.3 ppm: doublet    <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">9.8 ppm: quartet    <strong>[✔]</strong></span></p>
<div class="question_part_label">c(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Reagents</em>:<br>acidified/H<sup>+</sup> <em><strong>AND</strong> </em>«potassium» dichromate«(VI)»/K<sub>2</sub>Cr<sub>2</sub>O<sub>7</sub>/Cr<sub>2</sub>O<sub>7</sub><sup>2-</sup>    <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;"><em>Conditions</em>:<br>distil «the product before further oxidation»       <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>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note</strong>: Accept “«acidified potassium» manganate(VII)/KMnO<sub>4</sub>/MnO<sub>4</sub><sup>-</sup>/permanganate”.</span></em></p>
<p><em><span style="background-color: #ffffff;">Accept “H<sub>2</sub>SO<sub>4</sub>” or “H<sub>3</sub>PO<sub>4</sub>” for “H<sup>+</sup>”.</span></em></p>
<p><em><span style="background-color: #ffffff;">Accept “more dilute dichromate(VI)/manganate(VII)” or “excess ethanol”.</span></em></p>
<p><em><span style="background-color: #ffffff;">Award M1 if correct reagents given under “Conditions”.</span></em></p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">–1     <strong>[✔]</strong></span></p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Any three of:</em></span></p>
<p><span style="background-color: #ffffff;">has an oxygen/O atom with a lone pair      <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">that can form hydrogen bonds/H-bonds «with water molecules»     <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>
<p><span style="background-color: #ffffff;">hydrocarbon chain is short «so does not disrupt many H-bonds with water molecules»     <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>
<p><span style="background-color: #ffffff;">«large permanent» dipole-dipole interactions with water      <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>
<div class="question_part_label">d(iii).</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>All candidates were able to write the correct reactants/products for combustion of ethyne, but a few failed to balance correctly.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most drew correct Lewis structures for ethyne, though some drew ethene.</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Surprisingly very few explained the difference in bond length/strength looking at electrons shared and just gave the shorter/triple or longer/single bond answer.</p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Good to see that most candidates identified the specific IMF correctly.</p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates gave the correct IUPAC name.</p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Candidates were able to calculate the Δ<em>H</em> of the given reaction correctly; a few inverted the calculations or made mathematical errors.</p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally well done, most common error was stating that the enthalpy change was “larger” without the indication that it was an exothermic change or the sign.</p>
<div class="question_part_label">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Interpretation of spectra was very good and the few candidates that lost marks with <sup>1</sup>H NMR data rather than IR, for example simply mentioning two signals for B. However, most candidates that attempted this question got full marks.</p>
<div class="question_part_label">c(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The stronger candidates were able to predict the splitting pattern correctly, others inverted the answer, but many others repeated the information for protons with the given chemical shift, which is unexpected since wording was straightforward.</p>
<div class="question_part_label">c(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Candidates seemed to be confused by the prompts, reagent and conditions, so often included the acid among conditions. Careless errors were common such as the wrong charge on the dichromate ion. Few candidates suggest permanganate as an option.</p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate oxidation state of carbon in B.</p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Candidates did not understand that they must mention the IMF responsible for the solubility. Most candidates explained the polarity of the aldehyde and water but did not mention that this results in permanent dipole-dipole interactions; many did mention H-bonding. The mention of the lone pair on O atom and short hydrocarbon chain were very rare.</p>
<div class="question_part_label">d(iii).</div>
</div>
<br><hr><br><div class="specification">
<p>Carbon forms many compounds.</p>
</div>

<div class="specification">
<p>C<sub>60</sub> and diamond are allotropes of carbon.</p>
</div>

<div class="specification">
<p>Chlorine reacts with methane.</p>
<p style="text-align: center;">CH<sub>4</sub>&thinsp;(g) + Cl<sub>2&thinsp;</sub>(g) &rarr; CH<sub>3</sub>Cl&thinsp;(g) + HCl&thinsp;(g)</p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline <strong>two</strong> differences between the bonding of carbon atoms in C<sub>60</sub> and diamond.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain why C<sub>60</sub> and diamond sublime at different temperatures and pressures.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State two features showing that propane and butane are members of the same homologous series.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Describe a test and the expected result to indicate the presence of carbon–carbon double bonds.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Draw the full structural formula of (Z)-but-2-ene.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Write the equation for the reaction between but-2-ene and hydrogen bromide.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the type of reaction.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<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>
<div class="marks">[2]</div>
<div class="question_part_label">d(iv).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Predict, giving a reason, the major product of reaction between but-1-ene and steam.</p>
<div class="marks">[2]</div>
<div class="question_part_label">d(v).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<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>
<div class="marks">[4]</div>
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the splitting pattern in the <sup>1</sup>H NMR spectrum for 1-bromopropane.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the enthalpy change of the reaction, Δ<em>H</em>, using section 11 of the data booklet.</p>
<div class="marks">[3]</div>
<div class="question_part_label">f(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Draw and label an enthalpy level diagram for this reaction.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">f(ii).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>Any <strong>two</strong> of:</p>
<p>C<sub>60</sub> fullerene: bonded to 3 C <em><strong>AND</strong> </em>diamond: bonded to 4 C ✔</p>
<p>C<sub>60</sub> fullerene: delocalized/resonance <em><strong>AND</strong> </em>diamond: not delocalized / no resonance ✔</p>
<p>C<sub>60</sub> fullerene: <em>sp<sup>2</sup> <strong>AND</strong> </em>diamond: <em>sp<sup>3 </sup></em>✔</p>
<p>C<sub>60</sub> fullerene: bond angles between 109–120° <em><strong>AND</strong> </em>diamond: 109° ✔</p>
<p> </p>
<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>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>diamond giant/network covalent <em><strong>AND</strong></em> sublimes at higher temperature ✔</p>
<p>C<sub>60</sub> molecular/London/dispersion/intermolecular «forces» ✔</p>
<p> </p>
<p><em>Accept “diamond has strong covalent bonds <strong>AND</strong> require more energy to break «than intermolecular forces»” for M1.</em></p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>same general formula / C<sub>n</sub>H<sub>2n+2</sub> ✔</p>
<p>differ by CH<sub>2</sub>/common structural unit ✔</p>
<p> </p>
<p><em>Accept "similar chemical properties".</em></p>
<p><em>Accept “gradation/gradual change in physical properties”.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>ALTERNATIVE 1:</strong></p>
<p><em>Test:</em></p>
<p>add bromine «water»/Br<sub>2</sub> (aq) ✔</p>
<p><em>Result:</em></p>
<p>«orange/brown/yellow» to colourless/decolourised ✔</p>
<p><em><br>Do not accept “clear” for M2.</em></p>
<p><strong><br>ALTERNATIVE 2:</strong></p>
<p><em>Test:</em></p>
<p>add «acidified» KMnO<sub>4</sub> ✔</p>
<p><em>Result:</em></p>
<p>«purple» to colourless/decolourised/brown ✔</p>
<p><em><br>Accept “colour change” for M2.</em></p>
<p><strong><br>ALTERNATIVE 3:</strong></p>
<p><em>Test:</em></p>
<p>add iodine /<math xmlns="http://www.w3.org/1998/Math/MathML"><msub><mtext>I</mtext><mn>2</mn></msub></math> ✔</p>
<p><em>Result:</em></p>
<p>«brown» to colourless/decolourised ✔<br><br></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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"></p>
<p> </p>
<p><em>Accept</em></p>
<p><img src="data:image/png;base64,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"></p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<p>Correct reactants ✔</p>
<p>Correct products  ✔</p>
<p> </p>
<p><em>Accept molecular formulas for both reactants and product</em></p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«electrophilic» addition/EA ✔</p>
<p> </p>
<p><em>Do <strong>not</strong> accept nucleophilic or free radical addition.</em></p>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em><strong>ALTERNATIVE 1:</strong> Any two of:</em></p>
<p>but-2-ene: 2 signals <em><strong>AND</strong> </em>product: 4 signals ✔</p>
<p>but-2-ene: «area ratio» 3:1/6:2 <em><strong>AND</strong> </em>product: «area ratio» 3:3:2:1 ✔</p>
<p>product: «has signal at» 3.5-4.4 ppm «and but-2-ene: does not» ✔</p>
<p>but-2-ene: «has signal at» 4.5-6.0 ppm «and product: does not» ✔</p>
<p> </p>
<p><em><strong>ALTERNATIVE 2:</strong></em></p>
<p>but-2-ene: doublet <em><strong>AND</strong> </em>quartet/multiplet/4 ✔</p>
<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>
<p> </p>
<p><em>Accept “product «has signal at» 1.3–1.4 ppm «and but-2-ene: does not»”.</em></p>
<div class="question_part_label">d(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>CH<sub>3</sub>CH<sub>2</sub>CH(OH)CH<sub>3</sub> ✔</p>
<p>«secondary» carbocation/CH<sub>3</sub>CH<sub>2</sub>CH<sup>+</sup>CH<sub>3</sub> more stable ✔</p>
<p> </p>
<p><em>Do <strong>not</strong> accept “Markovnikov’s rule” without reference to carbocation stability.</em></p>
<div class="question_part_label">d(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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"></p>
<p>curly arrow going from lone pair/negative charge on O in HO<sup>–</sup> to C ✔</p>
<p>curly arrow showing Br breaking ✔</p>
<p>representation of transition state showing negative charge, square brackets and partial bonds ✔</p>
<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>
<p> </p>
<p><em>Do not allow curly arrow originating on H in HO<sup>–</sup>.</em></p>
<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>
<p><em>Do <strong>not</strong> penalize if HO and Br are not at 180° to each other. </em></p>
<p><em>Award <strong>[3 max]</strong> for S<sub>N</sub>1 mechanism.</em></p>
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>triplet/3 <em><strong>AND</strong> </em>multiplet/6 <em><strong>AND</strong> </em>triplet/3 ✔</p>
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<p> </p>
<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>
<p> </p>
<p>«ΔH = bond breaking – bond forming = 656 kJ – 755 kJ» = –99 «kJ» ✔</p>
<p> </p>
<p><em>Award <strong>[3]</strong> for correct final answer.</em></p>
<p><em>Award <strong>[2 max]</strong> for 99 «kJ».</em></p>
<div class="question_part_label">f(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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"></p>
<p>reactants at higher enthalpy than products ✔</p>
<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>
<p> </p>
<p><em>Accept a double headed arrow between reactants and products labelled as ΔH for M2.</em></p>
<div class="question_part_label">f(ii).</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This easy question was quite well answered; same/similar physical properties and empirical formula were common errors.</p>
<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>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Very well answered, some mentioned halogenation which is a different reaction.</p>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">d(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">d(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Only the very weak candidates were unable to calculate the enthalpy change correctly, eventually missing 1 mark for inverted calculations.</p>
<div class="question_part_label">f(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<div class="question_part_label">f(ii).</div>
</div>
<br><hr><br><div class="specification">
<p>Iron may be extracted from iron (II) sulfide, FeS.</p>
</div>

<div class="specification">
<p>Iron (II) sulfide, FeS, is ionically bonded.</p>
</div>

<div class="specification">
<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>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline why metals, like iron, can conduct electricity.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Justify why sulfur is classified as a non-metal by giving <strong>two</strong> of its chemical properties.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Sketch the first eight successive ionisation energies of sulfur.</p>
<p><img style="display:block;margin-left:auto;margin-right:auto;" 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" width="480" height="394"></p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Describe the bonding in this type of solid.</p>
<div class="marks">[2]</div>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State a technique that could be used to determine the crystal structure of the solid compound.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the full electron configuration of the sulfide ion.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<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>
<div class="marks">[1]</div>
<div class="question_part_label">d(iv).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest why chemists find it convenient to classify bonding into ionic, covalent and metallic.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d(v).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Write the equation for this reaction.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the change in the oxidation state of sulfur.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest why this process might raise environmental concerns.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain why the addition of small amounts of carbon to iron makes the metal harder.</p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>mobile/delocalized «sea of» electrons</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any two of:</em></p>
<p>forms acidic oxides «rather than basic oxides» ✔</p>
<p>forms covalent/bonds compounds «with other non-metals» ✔</p>
<p>forms anions «rather than cations» ✔</p>
<p>behaves as an oxidizing agent «rather than a reducing agent» ✔</p>
<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>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img style="display:block;margin-left:auto;margin-right:auto;" 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" width="465" height="378"></p>
<p>two regions of small increases <em><strong>AND</strong> </em>a large increase between them✔</p>
<p>large increase from 6th to 7th ✔</p>
<p><em><br>Accept line/curve showing these trends.</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>electrostatic attraction ✔</p>
<p>between oppositely charged ions/between Fe<sup>2+</sup> and S<sup>2−</sup> ✔</p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>X-ray crystallography ✔</p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>1s<sup>2</sup> 2s<sup>2</sup> 2p<sup>6</sup> 3s<sup>2</sup> 3p<sup>6</sup> ✔</p>
<p><em><br>Do <strong>not</strong> accept “[Ne] 3s<sup>2</sup> 3p<sup>6</sup>”.</em></p>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«valence» electrons further from nucleus/extra electron shell/ electrons in third/3s/3p level «not second/2s/2p»✔</p>
<p><em><br>Accept 2,8 (for O<sup>2–</sup>) and 2,8,8 (for S<sup>2–</sup>)</em></p>
<div class="question_part_label">d(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<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>
<p><em><br>Accept other valid answers.</em></p>
<div class="question_part_label">d(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>4FeS(s) + 7O<sub>2</sub>(g) → 2Fe<sub>2</sub>O<sub>3</sub>(s) + 4SO<sub>2</sub>(g) ✔</p>
<p><em><br>Accept any correct ratio.</em></p>
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>+6<br><em><strong>OR</strong></em><br>−2 to +4 ✔</p>
<p><em>Accept “6/VI”.</em><br><em>Accept “−II, 4//IV”.</em><br>Do <strong>not</strong> accept 2- to 4+.</p>
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>sulfur dioxide/SO<sub>2</sub> causes acid rain ✔</p>
<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>
<div class="question_part_label">e(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>disrupts the regular arrangement «of iron atoms/ions»<br><em><strong>OR</strong></em><br>carbon different size «to iron atoms/ions» ✔</p>
<p>prevents layers/atoms sliding over each other ✔</p>
<div class="question_part_label">f.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.</div>
</div>
<br><hr><br>