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</div><h2>HL Paper 2</h2><div class="specification">
<p>Enthalpy changes depend on the number and type of bonds broken and formed.</p>
</div>
<div class="specification">
<p>The table lists the standard enthalpies of formation, \(\Delta H_{\text{f}}^\Theta \), for some of the species in the reaction above.</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2018-08-10_om_08.21.04.png" alt="M18/4/CHEMI/SP2/ENG/TZ2/04.b"></p>
</div>
<div class="specification">
<p>Enthalpy changes depend on the number and type of bonds broken and formed.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Hydrogen gas can be formed industrially by the reaction of natural gas with steam.</p>
<p> CH<sub>4</sub>(g) + H<sub>2</sub>O(g) → 3H<sub>2</sub>(g) + CO(g)</p>
<p>Determine the enthalpy change, Δ<em>H, </em>for the reaction, in kJ, using section 11 of the data booklet.</p>
<p>Bond enthalpy for C≡O: 1077 kJ mol<sup>−1</sup></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>Outline why no value is listed for H<sub>2</sub>(g).</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>Determine the value of Δ<em>H</em><sup>Θ</sup>, in kJ, for the reaction using the values in the table.</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>The table lists standard entropy, <em>S</em><sup>Θ</sup>, values.</p>
<p><img src="images/Schermafbeelding_2018-08-08_om_15.07.35.png" alt="M18/4/CHEMI/HP2/ENG/TZ2/05.c"></p>
<p>Calculate the standard entropy change for the reaction, Δ<em>S</em><sup>Θ</sup>, in J K<sup>−1</sup>.</p>
<p>CH<sub>4</sub>(g) + H<sub>2</sub>O(g) → 3H<sub>2</sub>(g) + CO(g)</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>Calculate the standard free energy change, Δ<em>G</em><sup>Θ</sup>, in kJ, for the reaction at 298 K using your answer to (b)(ii).</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>Determine the temperature, in K, above which the reaction becomes spontaneous.</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><em>bonds broken:</em> 4(C–H) + 2(H–O)/4(414) + 2(463)/2582 <strong>«</strong>kJ<strong>»</strong></p>
<p><em>bonds made: </em>3(H–H) + C≡O/3(436) + 1077/2385 <strong>«</strong>kJ<strong>»</strong></p>
<p>Δ<em>H </em><strong>«</strong>= ΣBE<sub>(bonds broken)</sub> – ΣBE<sub>(bonds made)</sub> = 2582 – 2385<strong>» =</strong> <strong>«</strong>+<strong>» </strong>197 <strong>«</strong>kJ<strong>»</strong></p>
<p> </p>
<p><em>Award </em><strong><em>[3] </em></strong><em>for correct final answer.</em></p>
<p><em>Award </em><strong><em>[2 max] </em></strong><em>for –197 </em><strong><em>«</em></strong><em>kJ</em><strong><em>»</em></strong><em>.</em></p>
<p><em><strong>[3 marks]</strong></em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta H_{\text{f}}^\Theta \) for any element = 0 <strong>«</strong>by definition<strong>»</strong></p>
<p><strong><em>OR</em></strong></p>
<p>no energy required to form an element <strong>«</strong>in its stable form<strong>» </strong>from itself</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><em>ΔH</em><sup>Θ</sup> <strong>« =</strong> \(\sum {\Delta H_{\text{f}}^\Theta } \)<sub>(products)</sub> – \(\sum {\Delta H_{\text{f}}^\Theta } \)<sub>(reactants)</sub> = –111 + 0 – [–74.0 + (–242)]<strong>»</strong></p>
<p>= <strong>«</strong>+<strong>» </strong>205 <strong>«</strong>kJ<strong>»</strong></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><strong>«</strong>Δ<em>S</em><sup>Θ</sup> = Σ<em>S</em><sup>Θ</sup><sub>products</sub> – Σ<em>S</em><sup>Θ</sup><sub>reactants</sub> = 198 + 3 × 131 – (186 + 189) =<strong>» «</strong>+<strong>» </strong>216 <strong>«</strong>J K<sup>–1</sup><strong>»</strong></p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>«</strong>Δ<em>G</em><sup>Θ</sup> = Δ<em>H</em><sup>Θ</sup> – TΔ<em>S</em><sup>Θ</sup> = 205 kJ – 298 K × \(\frac{{216}}{{1000}}\) kJ K<sup>–1</sup> =<strong>» «</strong>+<strong>» </strong>141 <strong>«</strong>kJ<strong>»</strong></p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>«</strong>Δ<em>H</em><sup>Θ</sup> = TΔ<em>S</em><sup>Θ</sup><strong>»</strong></p>
<p><strong>«</strong>\({\text{T}} = \frac{{\Delta {H^\Theta }}}{{\Delta {S^\Theta }}} = \frac{{205000{\text{ J}}}}{{216{\text{ J }}{{\text{K}}^{ - 1}}}}\)<strong>»</strong></p>
<p><strong>«</strong>T =<strong>» </strong>949 <strong>«</strong>K<strong>»</strong></p>
<p> </p>
<p><em>Do </em><strong><em>not </em></strong><em>award a mark for negative value </em><em>of T.</em></p>
<p><strong><em>[1 mark]</em></strong></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.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.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">Consider the reaction:</p>
<p class="p1">\[{\text{CuS(s)}} + {{\text{H}}_2}{\text{(g)}} \to {\text{Cu(s)}} + {{\text{H}}_2}{\text{S(g)}}\]</p>
<p class="p1">Given:</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-11-02_om_18.30.58.png" alt="N11/4/CHEMI/HP2/ENG/TZ0/05.b"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Deduce and explain the sign of the entropy change for the following reaction.</p>
<p class="p1">\[{\text{CO(g)}} + {\text{2}}{{\text{H}}_{\text{2}}}{\text{(g)}} \to {\text{C}}{{\text{H}}_{\text{3}}}{\text{OH(l)}}\]</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Suggest why the \(\Delta H_{\text{f}}^\Theta \) values for \({{\text{H}}_{\text{2}}}{\text{(g)}}\) and Cu(s) are not given in the table.</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 class="p1">Determine the standard enthalpy change at 298 K 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 class="p1">Determine the standard free energy change at 298 K for the reaction. Deduce whether or not the reaction is spontaneous at this temperature.</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 class="p1">Determine the standard entropy change at 298 K for the reaction.</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 class="p1">Estimate the temperature, in K, at which the standard change in free energy equals zero. You should assume that the values of the standard enthalpy and entropy changes are not affected by the change in temperature.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.v.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">negative;</p>
<p class="p1"><span style="text-decoration: underline;">liquid</span> more ordered than <span style="text-decoration: underline;">gaseous</span> phase or <em>vice-versa </em>/ <em>OWTTE</em>;</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><span class="s1">\(\Delta H_{\text{f}}^\Theta \) </span>of an element (in its most stable state) is zero (since formation of an element from itself is not a reaction) / <em>OWTTE</em>;</p>
<p class="p1"><em>Do not allow an answer such as because they are elements.</em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\Delta {H^\Theta }( = (1)( - 20.6) - (1)( - 53.1)) = 32.5{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}/32500{\text{ (J}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1"><em>Allow 32.5 (kJ) or 3.25 </em>\( \times \)<em> 10</em><sup><span class="s1"><em>4 </em></span></sup><em>(J)</em>.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\Delta {G^\Theta }( = (1)( - 33.6) - (1)( - 53.6)) = 20.0{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}/20000{\text{ (J}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1"><em>Allow 20.0 (kJ) or 2.00 </em>\( \times \)<em> 10</em><sup><span class="s1"><em>4 </em></span></sup><em>(J)</em>.</p>
<p class="p1">non-spontaneous;</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\Delta {S^\Theta }( = (\Delta {H^\Theta } - \Delta {G^\Theta })/T = (32.5 - 20.0)(1000)/298) = 41.9{\text{ (J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}/\)</p>
<p class="p1">\(4.19 \times {10^{ - 2}}{\text{ (kJ}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1"><em>Allow 41.9 (J</em>\(\,\)<em>K</em><sup><span class="s1"><em>–1</em></span></sup><em>) or 4.19 </em>\( \times \)<em> 10</em><span class="s1"><em>–2 </em></span><em>(kJ</em>\(\,\)<em>K</em><sup><span class="s1"><em>–1</em></span></sup><em>)</em>.</p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(T{\text{ }}\left( { = \Delta H/\Delta S = (32.5 \times 1000)/(41.9)} \right) = 776{\text{ (K)}}\);</p>
<div class="question_part_label">b.v.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">The negative nature of the change gained a mark, but the explanations sometimes lacked clarity and states often were not referred to.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (i), often there was no mention of element.</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(ii) to (iv) was often very well done, though as usual some candidates struggled with units.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(ii) to (iv) was often very well done, though as usual some candidates struggled with units.</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(ii) to (iv) was often very well done, though as usual some candidates struggled with units.</p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.v.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">An example of a homogeneous reversible reaction is the reaction between hydrogen and iodine.</p>
<p class="p1">\[{{\text{H}}_2}{\text{(g)}} + {{\text{I}}_2}{\text{(g)}} \rightleftharpoons {\text{2HI(g)}}\]</p>
</div>
<div class="specification">
<p class="p1">Propene can be hydrogenated in the presence of a nickel catalyst to form propane. Use the data below to answer the questions that follow.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-10-27_om_06.45.18.png" alt="M11/4/CHEMI/HP2/ENG/TZ2/06.b"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">At a temperature just above 700 K it is found that when 1.60 mol of hydrogen and 1.00 mol of iodine are allowed to reach equilibrium in a \({\text{4.00 d}}{{\text{m}}^{\text{3}}}\) flask, the amount of hydrogen iodide formed in the equilibrium mixture is 1.80 mol. Determine the value of the equilibrium constant at this temperature.</p>
<div class="marks">[4]</div>
<div class="question_part_label">a.v.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Outline why the value for the standard enthalpy change of formation of hydrogen is zero.</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 class="p1">Calculate the standard enthalpy change for the hydrogenation of propene.</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 class="p1">Calculate the standard entropy change for the hydrogenation of propene.</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 class="p1">Determine the value of \(\Delta {G^\Theta }\) for the hydrogenation of propene at 298 K.</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 class="p1">At 298 K the hydrogenation of propene is a spontaneous process. Determine the temperature above which propane will spontaneously decompose into propene and hydrogen.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.v.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">amount of \({{\text{H}}_2}\) remaining at equilibrium \( = 1.60 - \frac{{1.80}}{2} = 0.70{\text{ mol}}\);</p>
<p class="p1">amount of \({{\text{I}}_2}\) remaining at equilibrium \( = 1.0 - \frac{{1.80}}{2} = 0.10{\text{ mol}}\);</p>
<p class="p1">\({K_{\text{c}}} = \frac{{{{(1.80/4.0)}^2}}}{{(0.70/4.00) \times (0.10/4.00)}}/\frac{{{{1.80}^2}}}{{0.70 \times 0.10}}\);</p>
<p class="p1">\({K_{\text{c}}} = \frac{{{{(1.80)}^2}}}{{0.70 \times 0.10}} = 46.3\);</p>
<p class="p1"><em>Award </em><strong><em>[4] </em></strong><em>for correct final answer.</em></p>
<div class="question_part_label">a.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">by definition \(\Delta H_{\text{f}}^\Theta \) of elements (in their standard states) is zero / no reaction involved / <em>OWTTE</em>;</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta H = - 104 - ( + 20.4)\);</p>
<p>\( = - 124.4{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1"><em>Award </em><strong><em>[1 max] </em></strong><em>for 124.4 (kJ</em>\(\,\)<em>mol</em><sup><span class="s1">−<em>1</em></span></sup><em>)</em>.</p>
<p class="p1"><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer</em>.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta S = 270 - (267 + 131)\);</p>
<p>\( = - 128{\text{ (J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1"><em>Award </em><strong><em>[1 max] </em></strong><em>for </em>+<em>128 ( J</em>\(\,\)<em>K</em><sup><span class="s1">−<em>1</em></span></sup><em>mol</em><sup><span class="s1">−<em>1</em></span></sup><em>)</em>.</p>
<p class="p1"><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer</em>.</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta G = \Delta H - {\text{T}}\Delta S = - 124.4 - \frac{{( - 128 \times 298)}}{{1000}}\);</p>
<p>\( = - 86.3{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\);</p>
<p><em>Units needed for the mark.</em></p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<p><em>Allow ECF if only one error in first marking point.</em></p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\Delta G = \Delta H - {\text{T}}\Delta S = 0/\Delta H = {\text{T}}\Delta S\);</p>
<p class="p1">\({\text{T}} = \frac{{ - 124.4}}{{ - 128/1000}} = 972{\text{ K}}/699{\text{ }}^\circ {\text{C}}\);</p>
<p class="p1"><em>Only penalize incorrect units for T and inconsistent ΔS value once in (iv) and (v).</em></p>
<div class="question_part_label">b.v.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">This was the most popularly answered question. Most candidates were able to give a good description of the characteristics of homogenous equilibrium, and apply Le Chatelier‟s Principle to explain the effect of catalysts and changes of temperature and pressure on the position of equilibrium and the equilibrium constant. A good majority were able to calculate the value of \({K_{\text{c}}}\)<span class="s1"> </span>although a significant number of candidates incorrectly used the initial rather than the equilibrium concentrations.</p>
<div class="question_part_label">a.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Although most candidates clearly understood the concept of standard <em>enthalpy change of formation </em>many were unable to explain why the value for hydrogen is zero. Many responses neglected to mention that \({{\text{H}}_{\text{2}}}\) is an element in its standard state.</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidate were able to calculate \(\Delta H\) and \(\Delta S\) although some inverted the equation and gave a positive value instead of negative answer or confused the values for propane and propene.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There were some inconsistencies in the use of units and significant figures when calculating \(\Delta G\) from \(\Delta H\) and \(\Delta S\) values although there was a significant improvement in this area compared to previous.</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There were some inconsistencies in the use of units and significant figures when calculating \(\Delta G\) from \(\Delta H\) and \(\Delta S\) values although there was a significant improvement in this area compared to previous.</p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There were some inconsistencies in the use of units and significant figures when calculating \(\Delta G\) from \(\Delta H\) and \(\Delta S\) values although there was a significant improvement in this area compared to previous. This error resulted in some very strange temperatures for the thermal decomposition of propane to propene.</p>
<div class="question_part_label">b.v.</div>
</div>
<br><hr><br><div class="specification">
<p>The photochemical chlorination of methane can occur at low temperature.</p>
</div>
<div class="question">
<p>The overall equation for monochlorination of methane is:</p>
<p style="text-align: center;">CH<sub>4</sub>(g) + Cl<sub>2</sub>(g) → CH<sub>3</sub>Cl(g) + HCl(g)</p>
<p>Calculate the standard enthalpy change for the reaction, Δ<em>H </em><sup>θ</sup>, using section 12 of the data booklet.</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>«Δ<em>H </em><sup>θ</sup> =» –82.0 «kJ» –92.3 «kJ» – (–74.0 «kJ»)</p>
<p>«Δ<em>H </em><sup>θ</sup> =» –100.3 «kJ»</p>
<p> </p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="specification">
<p>The reaction between ethene and steam is used in the industrial production of ethanol.</p>
<p>\[{{\text{C}}_{\text{2}}}{{\text{H}}_{\text{4}}}{\text{(g)}} + {{\text{H}}_{\text{2}}}{\text{O(g)}} \to {{\text{C}}_{\text{2}}}{{\text{H}}_{\text{5}}}{\text{OH(g)}}\]</p>
<p>The enthalpy change of the reaction can be calculated either by using average bond enthalpies or by using standard enthalpies of formation.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine the enthalpy change of the reaction, in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), using the average bond enthalpies in Table 10 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>(i) Define the term <em>standard enthalpy change of formation</em>.</p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>
<p>(ii) Determine the enthalpy change of the reaction, in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), between ethene and steam using the enthalpy change of formation values given below.</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2016-08-21_om_12.30.39.png" alt="N14/4/CHEMI/HP2/ENG/TZ0/02.b.ii"></p>
<div class="marks">[4]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Comment on which of the values obtained in (a) and (b)(ii) is more accurate, giving a reason.</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>Predict the sign of the entropy change of the reaction, \(\Delta S\), giving a reason.</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>(bonds broken) C=C and O–H / 612 + 464 / 1076;</p>
<p>(bonds formed) C–C and C–H and C–O / 347 + 413 + 358 / 1118;</p>
<p><strong>OR</strong></p>
<p>(bonds broken) C=C and two O–H and four C–H / 612 + 4(413) + 2(464) / 3192;</p>
<p>(bonds formed) C–C and five C–H and C–O and O–H / 347 + 5(413) + 358 + 464 / 3234;</p>
<p><em>Ignore signs (+ and –) in M1 and M2. These two marks are awarded for recognizing the correct bonds</em>.</p>
<p>enthalpy change \( = - 42{\text{ (kJ)}}\);</p>
<p><em>Correct sign is necessary for awarding M3.</em></p>
<p><em>Award </em><strong><em>[3] </em></strong><em>for the correct final answer.</em></p>
<p><em>Do not penalize candidates using the former Data Booklet bond energy values (348, 412 and 463) (final answer will then be –45(kJ)).</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) heat/enthalpy change when 1 mol of a compound/substance is formed;</p>
<p>from its elements in their standard states/at \({\text{100 kPa/1}}{{\text{0}}^{\text{5}}}{\text{ Pa}}\);</p>
<p><em>Allow 1.01 </em>\( \times \)<em> 10<sup>5</sup> Pa</em>/<em>101 kPa</em>/<em>1 atm </em><em>as an alternative to 100 kPa/10<sup>5</sup></em> <em>Pa.</em></p>
<p><em>Allow under standard conditions or standard ambient temperature and pressure as an alternative to 100 kPa/10<sup>5</sup></em> <em>Pa.</em></p>
<p><em>Allow “energy needed/absorbed” as an alternative to “heat/enthalpy change”.</em></p>
<p><em>Temperature is not required in definition, allow if quoted (eg, 298 K / 25 °C).</em></p>
<p>(ii) \(( - 235) - (52 - 242)/\Delta H = \Sigma \Delta H_{\text{f}}^\Theta {\text{(products)}} - \Sigma \Delta H_{\text{f}}^\Theta {\text{(reactants)}}\);</p>
<p>–45 (kJ);</p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for the correct final answer.</em></p>
<p><em>Award </em><strong><em>[1] </em></strong><em>for +45 or 45.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>value in (b)(ii) (is more accurate) as values used in (a) are average values / value in (b)(ii) (is more accurate) as exact bond enthalpy depends on the surroundings of the bond / <em>OWTTE</em>;</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>negative <strong>and </strong>fewer number of moles/molecules (of gas);</p>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>More than half of the candidates identified the correct types and numbers of bonds, and many calculated the enthalpy change of reaction correctly gaining full marks. Common mistakes included reversing the signs of bonds broken and bonds formed, and using incorrect types or numbers of bonds, and arithmetic errors.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) Less than half of the candidates answered the question correctly. Some were not specific in the definition of the standard enthalpy change of formation, while others had totally incorrect answers such as the formation of the compound from gaseous atoms.</p>
<p>(ii) The majority of candidates calculated the enthalpy change correctly. Some candidates made arithmetic errors.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>More than half of the candidates referred to bond enthalpies being average values that lead to a less accurate calculated value of the enthalpy change.</p>
<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>
<br><hr><br><div class="specification">
<p class="p1">To determine the enthalpy change of combustion of methanol, \({\text{C}}{{\text{H}}_{\text{3}}}{\text{OH}}\), 0.230 g of methanol was combusted in a spirit burner. The heat released increased the temperature of \({\text{50.0 c}}{{\text{m}}^{\text{3}}}\) of water from 24.5 °<span class="s2">C </span>to 45.8 °<span class="s2">C</span>.</p>
</div>
<div class="specification">
<p class="p1">Methanol can be produced according to the following equation.</p>
<p class="p1">\[{\text{CO(g)}} + {\text{2}}{{\text{H}}_2}{\text{(g)}} \to {\text{C}}{{\text{H}}_3}{\text{OH(l)}}\]</p>
</div>
<div class="specification">
<p class="p1">The manufacture of gaseous methanol from CO and \({{\text{H}}_{\text{2}}}\) involves an equilibrium reaction.</p>
<p class="p2"><span class="Apple-converted-space"> </span>\({\text{CO(g)}} + {\text{2}}{{\text{H}}_2}{\text{(g)}} \rightleftharpoons {\text{C}}{{\text{H}}_3}{\text{OH(g)}}\) <span class="Apple-converted-space"> </span>\(\Delta {H^\Theta } < 0\)</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Calculate the standard enthalpy change of this reaction, using the values of enthalpy of combustion in Table 12 of the Data Booklet.</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 class="p1">Calculate the standard entropy change for this reaction, \(\Delta {S^\Theta }\), using Table 11 of the Data Booklet and given:</p>
<p class="p1">\({S^\Theta }{\text{(CO)}} = 198{\text{ J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}{\text{ and }}{S^\Theta }{\text{(}}{{\text{H}}_{\text{2}}}{\text{)}} = 131{\text{ J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}\).</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 class="p1">Calculate, stating units, the standard free energy change for this reaction, \(\Delta {G^\Theta }\), at 298 K.</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 class="p1">Predict, with a reason, the effect of an increase in temperature on the spontaneity of this reaction.</p>
<div class="marks">[3]</div>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">1.00 mol of \({\text{C}}{{\text{H}}_{\text{3}}}{\text{OH}}\) is placed in a closed container of volume \({\text{1.00 d}}{{\text{m}}^{\text{3}}}\) until equilibrium is reached with CO and \({{\text{H}}_{\text{2}}}\). At equilibrium 0.492 mol of \({\text{C}}{{\text{H}}_{\text{3}}}{\text{OH}}\) are present. Calculate \({K_{\text{c}}}\).</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.iii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>\({\text{C}}{{\text{H}}_3}{\text{OH}} + \frac{3}{2}{{\text{O}}_2} \to {\text{C}}{{\text{O}}_2} + 2{{\text{H}}_2}{\text{O}}\) \(\Delta H_{\text{c}}^{^\Theta } = - 726{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\)</p>
<p>\({\text{CO}} + \frac{1}{2}{{\text{O}}_2} \to {\text{C}}{{\text{O}}_2}\) \(\Delta H_{\text{c}}^{^\Theta } = - 283{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\)</p>
<p>\({{\text{H}}_2} + \frac{1}{2}{{\text{O}}_2} \to {{\text{H}}_2}{\text{O}}\) \(\Delta H_{\text{c}}^{^\Theta } = - 286{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\)</p>
<p><em>Award </em><strong><em>[1 max] </em></strong><em>for three correct values.</em></p>
<p><em>Mark can be implicit in calculations.</em></p>
<p>\((\Delta H_{\text{R}}^{^\Theta } = ){\text{ }}2( - 286) + ( - 283) - ( - 726)\);</p>
<p>\( - {\text{129 (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p><em>Award </em><strong><em>[3] </em></strong><em>for correct final answer.</em></p>
<p><em>Award </em><strong><em>[2 max] </em></strong><em>for +129 (kJ</em>\(\,\)<em>mol</em><em><sup>–1</sup></em><em>).</em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\((\Delta {S^\Theta } = 240 - 198 - 2 \times 131 = ){\text{ }} - 220{\text{ (J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\left( { - 129 - 298( - 0.220) = } \right){\text{ }} - 63.4{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\);</p>
<p class="p1"><em>Award </em><strong><em>[1] </em></strong><em>for correct numerical answer and </em><strong><em>[1] </em></strong><em>for correct unit if the conversion has been made from J to kJ for </em>\(\Delta {S^\Theta }\)<em>.</em></p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">not spontaneous at high temperature;</p>
<p class="p1">\(T\Delta {S^\Theta } < \Delta {H^\Theta }\) <strong>and</strong> \(\Delta {G^\Theta }\) positive;</p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(n{\text{(CO)}} = 0.508{\text{ (mol)}}\);</p>
<p class="p1">\(n({{\text{H}}_2}) = 2 \times 0.508{\text{ (mol)}}\);</p>
<p class="p1">\({K_{\text{c}}}{\text{ }}\left( { = \frac{{0.492}}{{0.508 \times {{(2 \times 0.508)}^2}}}} \right) = 0.938\);</p>
<p class="p1"><em>Accept answer in range between 0.930 and 0.940.</em></p>
<p class="p1"><em>Award </em><strong><em>[3] </em></strong><em>for correct final answer.</em></p>
<p class="p1"><em>Award </em><strong><em>[2] </em></strong><em>for K<sub>c</sub></em> <em>= 1.066 if (c)(ii) is correct.</em></p>
<div class="question_part_label">c.iii.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (i), the most common error was \( + {\text{129 kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\) but in (ii) the answer was often correct.</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (i), the most common error was \( + {\text{129 kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\) but in (ii) the answer was often correct.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Units tended to get muddled in (iii) and many marks were awarded as “error carried forward”.</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Few were able to explain the \(\Delta H\) and \(T\Delta S\) relationship in detail in (iv).</p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Equilibrium was well understood in general with many candidates gaining one of the two available marks. “Equal rates” was more often given than the constancy of macroscopic properties for the second mark. The \({K_{\text{c}}}\) expression was given correctly by the vast majority of candidates (including the correct brackets and indices) but many had difficulty with the equilibrium concentrations in (iii).</p>
<p class="p1">The changes in equilibrium position were well understood for the most part although if a mark were to be lost it was for not mentioning the number of moles of gas.</p>
<div class="question_part_label">c.iii.</div>
</div>
<br><hr><br><div class="specification">
<p>Two chemistry students wished to determine the enthalpy of hydration of anhydrous magnesium sulfate. They measured the initial and the highest temperature reached when anhydrous magnesium sulfate, \({\text{MgS}}{{\text{O}}_{\text{4}}}{\text{(s)}}\), was dissolved in water. They presented their results in the table below.</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2016-08-11_om_16.47.13.png" alt="M14/4/CHEMI/HP2/ENG/TZ1/01.a"></p>
</div>
<div class="specification">
<p>The students repeated the experiment using 6.16 g of solid hydrated magnesium sulfate, \({\text{MgS}}{{\text{O}}_{\text{4}}} \bullet {\text{7}}{{\text{H}}_{\text{2}}}{\text{O(s)}}\), and \({\text{50.0 c}}{{\text{m}}^{\text{3}}}\) of water. They found the enthalpy change, \(\Delta {H_2}\) , to be \( + {\text{18 kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\).</p>
<p>The enthalpy of hydration of solid anhydrous magnesium sulfate is difficult to determine experimentally, but can be determined using the diagram below.</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2016-08-11_om_17.02.53.png" alt="M14/4/CHEMI/HP2/ENG/TZ1/01.b"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>(i) Calculate the amount, in mol, of anhydrous magnesium sulfate.</p>
<p> </p>
<p> </p>
<p>(ii) Calculate the enthalpy change, \(\Delta {H_1}\), for anhydrous magnesium sulfate dissolving in water, in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\). State your answer to the correct number of significant figures.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>(i) Determine the enthalpy change, \(\Delta H\), in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), for the hydration of solid anhydrous magnesium sulfate, \({\text{MgS}}{{\text{O}}_{\text{4}}}\).</p>
<p> </p>
<p> </p>
<p>(ii) The literature value for the enthalpy of hydration of anhydrous magnesium sulfate is \( - 103{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\). Calculate the percentage difference between the literature value and the value determined from experimental results, giving your answer to <strong>one </strong>decimal place. (If you did not obtain an answer for the experimental value in (b)(i) then use the value of \( - 100{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), but this is <strong>not </strong>the correct value.)</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>Another group of students experimentally determined an enthalpy of hydration of \( - 95{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\). Outline two reasons which may explain the variation between the experimental and literature values.</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>Magnesium sulfate is one of the products formed when acid rain reacts with dolomitic limestone. This limestone is a mixture of magnesium carbonate and calcium carbonate.</p>
<p>(i) State the equation for the reaction of sulfuric acid with magnesium carbonate.</p>
<p> </p>
<p> </p>
<p>(ii) Deduce the Lewis (electron dot) structure of the carbonate ion, giving the shape and the oxygen-carbon-oxygen bond angle.</p>
<p> </p>
<p>Lewis (electron dot) structure:</p>
<p> </p>
<p>Shape:</p>
<p> </p>
<p>Bond angle:</p>
<p> </p>
<p>(iii) There are three possible Lewis structures that can be drawn for the carbonate ion, which lead to a resonance structure. Explain, with reference to the electrons, why all carbon-oxygen bonds have the same length.</p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>
<p>(iv) Deduce the hybridization of the carbon atom in the carbonate ion.</p>
<div class="marks">[6]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>(i) \(n{\text{(MgS}}{{\text{O}}_4}{\text{)}} = \left( {\frac{{3.01}}{{120.37}} = } \right)0.0250{\text{ (mol)}}\);</p>
<p>(ii) energy released \( = 50.0 \times 4.18 \times 9.7 \times 2027{\text{ (J)}}/2.027{\text{ (kJ)}}\);</p>
<p>\(\Delta {H_1} = - 81{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct answer.</em></p>
<p><em>Award </em><strong><em>[2] </em></strong><em>if 53.01 is used giving an answer of –86 (kJ mol</em><sup><em>–1</em></sup><em>).</em></p>
<p><em>Award </em><strong><em>[1 max] </em></strong><em>for +81/81/+86/86 (kJ mol</em><sup><em>−1</em></sup><em>).</em></p>
<p><em>Award </em><strong><em>[1 max] </em></strong><em>for –81000/–86000 if units are stated as J mol</em><sup><em>−1</em></sup><em>.</em></p>
<p><em>Allow answers to 3 significant figures.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) \(\Delta H{\text{ (}} = \Delta {H_1} - \Delta {H_2}{\text{)}} = - 99{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p><em>Award </em><strong><em>[1] </em></strong><em>if –86 is used giving an answer of –104 (kJ mol</em><sup><em>–1</em></sup><em>).</em></p>
<p>(ii) \(\frac{{(103 - 99)}}{{103}} \times 100 = 3.9\% \);</p>
<p><em>Accept answer of 2.9% if –100 used but only if a value for (b)(i) is not present.</em></p>
<p><em>Award </em><strong><em>[1] </em></strong><em>if –104 is used giving an answer of 1.0% .</em></p>
<p><em>Accept correct answers which are not to 1 decimal place.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\({\text{MgS}}{{\text{O}}_{\text{4}}}\) not completely anhydrous / <em>OWTTE</em>;</p>
<p>\({\text{MgS}}{{\text{O}}_{\text{4}}}\) is impure;</p>
<p>heat loss to the atmosphere/surroundings;</p>
<p>specific heat capacity of solution is taken as that of pure water;</p>
<p>experiment was done once only so it is not scientific;</p>
<p>density of solution is taken to be \({\text{1 g}}\,{\text{c}}{{\text{m}}^{ - 3}}\);</p>
<p>mass of \({\text{7}}{{\text{H}}_2}{\text{O}}\) ignored in calculation;</p>
<p>uncertainty of thermometer is high so temperature change is unreliable;</p>
<p>literature values determined under standard conditions, but this experiment is not;</p>
<p>all solid not dissolved;</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) \({{\text{H}}_2}{\text{S}}{{\text{O}}_4}{\text{(aq)}} + {\text{MgC}}{{\text{O}}_3}{\text{(s)}} \to {\text{MgS}}{{\text{O}}_4}{\text{(aq)}} + {\text{C}}{{\text{O}}_2}{\text{(g)}} + {{\text{H}}_2}{\text{O(l)}}\);</p>
<p><em>Ignore state symbols.</em></p>
<p><em>Do not accept H</em><sub><em>2</em></sub><em>CO</em><sub><em>3</em></sub><em>.</em></p>
<p>(ii) <img src="images/Schermafbeelding_2016-08-11_om_17.31.57.png" alt="M14/4/CHEMI/HP2/ENG/TZ1/01.d.ii/M"> ;</p>
<p><em>Accept crosses, lines or dots as electron pairs.</em></p>
<p><em>Accept any correct resonance structure.</em></p>
<p><em>Award </em><strong><em>[0] </em></strong><em>if structure is drawn without brackets and charge.</em></p>
<p><em>Award </em><strong><em>[0] </em></strong><em>if lone pairs not shown on O atoms.</em></p>
<p><em>shape: </em>trigonal/triangular planar;</p>
<p><em>bond angle: </em>120° ;</p>
<p><em>Accept answers trigonal/triangular planar and 120°</em> <em>if M1 incorrect, but no </em><em>other answers should be given credit.</em></p>
<p>(iii) (pi/\(\pi \)) electrons are delocalized/spread over more than two nuclei / charge spread (equally) over all three oxygens;</p>
<p>(iv) \({\text{s}}{{\text{p}}^{\text{2}}}\);</p>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>The use of 3.01 for the mass in the expression in \(Q = mc\Delta T\) was common, candidates were able to score in the subsequent parts and many did so, although there was often a confusion between the value Q and the required answer for \(\Delta H\). In part c) most candidates understood the error due to heat loss, but few scored the second mark, usually quoting an answer involving an error generally that was far too vague. The inability to construct a balanced equation was disappointing, many lost credit for giving \({{\text{H}}_{\text{2}}}{\text{C}}{{\text{O}}_{\text{3}}}\) as a product. The score for the structure of the carbonate ion was often lost due to the failure to show that a charge is present on the ion, however, the shape and bond angle were known well, as was delocalisation and hybridisation.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The use of 3.01 for the mass in the expression in \(Q = mc\Delta T\) was common, candidates were able to score in the subsequent parts and many did so, although there was often a confusion between the value Q and the required answer for \(\Delta H\). In part c) most candidates understood the error due to heat loss, but few scored the second mark, usually quoting an answer involving an error generally that was far too vague. The inability to construct a balanced equation was disappointing, many lost credit for giving \({{\text{H}}_{\text{2}}}{\text{C}}{{\text{O}}_{\text{3}}}\) as a product. The score for the structure of the carbonate ion was often lost due to the failure to show that a charge is present on the ion, however, the shape and bond angle were known well, as was delocalisation and hybridisation.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The use of 3.01 for the mass in the expression in \(Q = mc\Delta T\) was common, candidates were able to score in the subsequent parts and many did so, although there was often a confusion between the value Q and the required answer for \(\Delta H\). In part c) most candidates understood the error due to heat loss, but few scored the second mark, usually quoting an answer involving an error generally that was far too vague. The inability to construct a balanced equation was disappointing, many lost credit for giving \({{\text{H}}_{\text{2}}}{\text{C}}{{\text{O}}_{\text{3}}}\) as a product. The score for the structure of the carbonate ion was often lost due to the failure to show that a charge is present on the ion, however, the shape and bond angle were known well, as was delocalisation and hybridisation.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The use of 3.01 for the mass in the expression in \(Q = mc\Delta T\) was common, candidates were able to score in the subsequent parts and many did so, although there was often a confusion between the value Q and the required answer for \(\Delta H\). In part c) most candidates understood the error due to heat loss, but few scored the second mark, usually quoting an answer involving an error generally that was far too vague. The inability to construct a balanced equation was disappointing, many lost credit for giving \({{\text{H}}_{\text{2}}}{\text{C}}{{\text{O}}_{\text{3}}}\) as a product. The score for the structure of the carbonate ion was often lost due to the failure to show that a charge is present on the ion, however, the shape and bond angle were known well, as was delocalisation and hybridisation.</p>
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">One important property of a rocket fuel mixture is the large volume of gaseous products formed which provide thrust. Hydrazine, N<sub><span class="s1">2</span></sub>H<sub><span class="s1">4</span></sub>, is often used as a rocket fuel. The combustion of hydrazine is represented by the equation below.</p>
<p class="p1">\[\begin{array}{*{20}{l}} {{{\text{N}}_{\text{2}}}{{\text{H}}_{\text{4}}}{\text{(g)}} + {{\text{O}}_{\text{2}}}({\text{g)}} \to {{\text{N}}_{\text{2}}}({\text{g)}} + 2{{\text{H}}_{\text{2}}}{\text{O(g)}}}&{\Delta H_{\text{c}}^\Theta = - {\text{585 kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}} \end{array}\]</p>
</div>
<div class="question">
<p class="p1">Comment on the environmental safety of the products of the reaction of \({{\text{N}}_{\text{2}}}{{\text{H}}_{\text{4}}}\) with \({{\text{O}}_{\text{2}}}\) <strong>and </strong>the reaction of \({{\text{N}}_{\text{2}}}{{\text{H}}_{\text{4}}}\) with \({{\text{F}}_{\text{2}}}\).</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p class="p1">(\({{\text{N}}_{\text{2}}}\) inert) HF (weak) acid compared to \({{\text{H}}_2}{\text{O}}\) / HF toxic / products of reactions of HF with environment/soil are harmful to environment / <em>OWTTE</em>;</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
<p class="p1">A matter of serious concern is the number of candidates who identified nitrogen as harmful to the environment or a greenhouse gas.</p>
</div>
<br><hr><br><div class="specification">
<p class="p1">Hydrazine, N<sub><span class="s1">2</span></sub>H<sub><span class="s1">4</span></sub>, is a valuable rocket fuel.</p>
</div>
<div class="specification">
<p class="p1">The equation for the reaction between hydrazine and oxygen is given below.</p>
<p class="p1">\[{{\text{N}}_2}{{\text{H}}_4}({\text{l)}} + {{\text{O}}_2}({\text{g)}} \to {{\text{N}}_2}({\text{g)}} + 2{{\text{H}}_2}{\text{O(l)}}\]</p>
</div>
<div class="specification">
<p class="p1">The reaction between \({{\text{N}}_2}{{\text{H}}_4}({\text{aq)}}\) and \({\text{HCl(aq)}}\) can be represented by the following equation.</p>
<p class="p1">\[{{\text{N}}_2}{{\text{H}}_4}({\text{aq)}} + 2{\text{HCl(aq)}} \to {{\text{N}}_2}{\text{H}}_6^{2 + }({\text{aq)}} + 2{\text{C}}{{\text{l}}^ - }({\text{aq)}}\]</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>Draw the Lewis (electron dot) structure for N<sub><span class="s1">2</span></sub>H<sub><span class="s1">4 </span></sub>showing all valence electrons.</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>State and explain the H–N–H bond angle in hydrazine.</p>
<div class="marks">[4]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Hydrazine and ethene, C<sub><span class="s1">2</span></sub>H<sub><span class="s1">4</span></sub>, are hydrides of adjacent elements in the periodic table. The boiling point of hydrazine is much higher than that of ethene. Explain this difference in terms of the intermolecular forces in each compound.</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 class="p1">(i) <span class="Apple-converted-space"> </span>The enthalpy change of formation, \(\Delta H_{\text{f}}^\Theta \), of liquid hydrazine is \({\text{50.6 kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\). Use this value, together with data from Table 12 of the Data Booklet, to calculate the enthalpy change for this reaction.</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>Use the bond enthalpy values from Table 10 of the Data Booklet to determine the enthalpy change for this reaction.</p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>Identify the calculation that produces the most accurate value for the enthalpy change for the reaction given and explain your choice.</p>
<p class="p1">(iv) <span class="Apple-converted-space"> </span>Calculate \(\Delta {S^\Theta }\) for the reaction using the data below and comment on its magnitude.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-09-26_om_09.01.06.png" alt="N10/4/CHEMI/HP2/ENG/TZ0/07.c"></p>
<p class="p1">(v) <span class="Apple-converted-space"> </span>Calculate \(\Delta {G^\Theta }\) for the reaction at 298 K.</p>
<p class="p1">(vi) <span class="Apple-converted-space"> </span>Predict, giving a reason, the spontaneity of the reaction above at both high and low temperatures.</p>
<div class="marks">[16]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">The reaction between \({{\text{N}}_{\text{2}}}{{\text{H}}_{\text{4}}}{\text{(aq)}}\) and HCl(aq) can be represented by the following equation.</p>
<p class="p1">\[{{\text{N}}_2}{{\text{H}}_4}({\text{aq)}} + 2{\text{HCl(aq)}} \to {{\text{N}}_2}{\text{H}}_6^{2 + }({\text{aq)}} + 2{\text{C}}{{\text{l}}^ - }({\text{aq)}}\]</p>
<p class="p1">(i) <span class="Apple-converted-space"> </span>Identify the type of reaction that occurs.</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>Predict the value of the H–N–H bond angle in \({{\text{N}}_{\text{2}}}{\text{H}}_{\text{6}}^{{\text{2}} + }\).</p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>Suggest the type of hybridization shown by the nitrogen atoms in \({{\text{N}}_{\text{2}}}{\text{H}}_{\text{6}}^{{\text{2}} + }\).</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 class="p1">(i) <span class="Apple-converted-space"> <img src="images/Schermafbeelding_2016-09-26_om_08.49.44.png" alt="N10/4/CHEMI/HP2/ENG/TZ0/07.a/M"></span>;</p>
<p class="p1"><em>Accept x’s, dots or lines for electron pairs</em></p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>H–N–H \( < \) 109 / any angle between 104° and 109°;</p>
<p class="p1">due to four centres of electron charge / four electron pairs (one of which is a lone \({{\text{e}}^ - }\) pair);</p>
<p class="p1">extra repulsion due to lone electron pairs;</p>
<p class="p1"><em>Do not allow ECF for wrong Lewis structures.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">weaker van der Waals’/London/dispersion/intermolecular forces in ethene;</p>
<p class="p1">stronger (intermolecular) hydrogen bonding in hydrazine;</p>
<p class="p1"><em>If no comparison between strengths then </em><strong><em>[1 max]</em></strong>.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>\(\Delta H_{\text{r}}^\Theta = \Sigma \Delta H_{\text{f}}^\Theta {\text{ products}} - \Sigma \Delta H_{\text{f}}^\Theta {\text{ reactants}}\);</p>
<p class="p1"><em>Can be implied by working</em>.</p>
<p class="p1">\(\Delta H_{\text{f}}^\Theta {\text{(}}{{\text{H}}_2}{\text{O(l))}} = - 286{\text{ (kJ)}}\);</p>
<p class="p1">\(\Delta H_{\text{r}}^\Theta = 2( - 286) - 50.6 = - 622.6{\text{ (kJ)}}\);</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>bonds broken: 4N–H, N–N, O=O / \( + {\text{2220 (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1">bonds formed: N\(\equiv\)N, 4O-H / \( - 2801{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1">\( - 581{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1"><em>Award </em><strong><em>[3] </em></strong><em>for correct final answer</em>.</p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>value based on \(\Delta {H_{\text{f}}}\) more accurate;</p>
<p class="p1">\(\Delta {H_{\text{f}}}\) accurate for compounds in reaction;</p>
<p class="p1">bond energy calculation assumes average bond energies;</p>
<p class="p1">(bond energy calculation) only applies to gaseous states / ignores intermolecular bonds;</p>
<p class="p1">(iv) <span class="Apple-converted-space"> </span>\(\Delta {S^\Theta } = \Sigma {S^\Theta }{\text{ (products)}} - \Sigma {S^\Theta }{\text{ (reactants)}}\);</p>
<p class="p1"><em>Can be implied by working</em>.</p>
<p class="p1">\( = 191 + (2 \times 69.9) - 205 - 121 = + 4.8{\text{ (J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1">small value since number of mol of g on both sides the same;</p>
<p class="p1">(v) <span class="Apple-converted-space"> </span>\(\Delta {G^\Theta } = - 622.6 - 298(0.0048)\);</p>
<p class="p1">\( = - 624.0{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1"><em>Allow 623.9 to 624.1</em>.</p>
<p class="p1">(vi) <span class="Apple-converted-space"> </span>all reactions are spontaneous;</p>
<p class="p1">\(\Delta G\) is negative (at high temperatures and low temperatures);</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">(i) <span class="Apple-converted-space"> </span>acid-base/neutralization;</p>
<p class="p1">(ii) <span class="Apple-converted-space"> </span>109°/109.5°;</p>
<p class="p1">(iii) <span class="Apple-converted-space"> </span>sp<sup>3</sup>;</p>
<p class="p1"><em>No ECF if bond angle incorrect in (ii).</em></p>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">The Lewis structure for hydrazine proved to be difficult for some in (a). Incorrect answers had double bonds appearing between the two nitrogen atoms or lone pairs missing. Those who could draw the correct structure in (i) gave the correct bond angle, but the explanation was often incomplete. Few mentioned either the four electron domains around the central atom or the extra repulsion of the lone pair.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In part (b) most candidates knew that hydrogen bonding was present in hydrazine and Van der Waals‟ forces in ethene but failed to give a comparison of the relative strength of the intermolecular forces.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Some candidates struggled to calculate the enthalpy changes from enthalpy changes of formation in (c) (i) as they were unable to relate the enthalpy change of combustion of hydrogen to the enthalpy change of formation of water.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The bond energy and entropy calculations were more successful with many candidates benefitting from ECF from their incorrect Lewis structures in (a). It was encouraging to see many correct unit conversions for the calculation of \(\Delta G\). A number of candidates incorrectly described the combination of hydrazine and hydrochloric acid as a redox reaction, but many were able to identify the bond angle and hybridization in \({{\text{N}}_{\text{2}}}{\text{H}}_{\text{6}}^{{\text{2}} + }\).</p>
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">Phosphoryl chloride, \({\text{POC}}{{\text{l}}_{\text{3}}}\), is a dehydrating agent.</p>
</div>
<div class="specification">
<p class="p1">\({\text{POC}}{{\text{l}}_{\text{3}}}\left( {\text{g}} \right)\) decomposes according to the following equation.</p>
<p class="p1">\[{\text{2POC}}{{\text{l}}_3}{\text{(g)}} \to {\text{2PC}}{{\text{l}}_3}{\text{(g)}} + {{\text{O}}_2}{\text{(g)}}\]</p>
</div>
<div class="specification">
<p class="p1">POCl<sub><span class="s1">3 </span></sub>can be prepared by the reaction of phosphorus pentachloride, PCl<sub><span class="s1">5 </span></sub>, with tetraphosphorus decaoxide, P<sub><span class="s1">4</span></sub>O<sub><span class="s1">10</span></sub>.</p>
</div>
<div class="specification">
<p class="p1">PCl<sub><span class="s1">3 </span></sub>and Cl<sup>–</sup><span class="s1"> </span>can act as ligands in transition metal complexes such as Ni(PCl<sub><span class="s1">3</span></sub>)<sub><span class="s1">4 </span></sub>and [Cr(H<sub><span class="s1">2</span></sub>O)<sub><span class="s1">3</span></sub>Cl<sub><span class="s1">3</span></sub>].</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Predict and explain the sign of the entropy change, \(\Delta S\), for this reaction.</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 class="p1">Calculate the standard entropy change for the reaction, \(\Delta {S^\Theta }\), in \({\text{J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}\), using the data below.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-09-16_om_07.31.10.png" alt="M13/4/CHEMI/HP2/ENG/TZ2/05.a.ii"></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 class="p1">Define the term <em>standard enthalpy change of formation</em>, \(\Delta H_{\text{f}}^\Theta \).</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Calculate the standard enthalpy change for the reaction, \(\Delta {H^\Theta }\), in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), using the data below.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-09-16_om_07.42.10.png" alt="M13/4/CHEMI/HP2/ENG/TZ2/05.a.iv"></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 class="p1">Determine the standard free energy change for the reaction, \(\Delta {G^\Theta }\), in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), at 298 K.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.v.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Deduce the temperature, in K, at which the reaction becomes spontaneous.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.vi.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Deduce the Lewis (electron dot) structure of POCl<sub><span class="s1">3 </span></sub>(with P as the central element) and PCl<sub><span class="s1">3 </span></sub>and predict the shape of each molecule, using the valence shell electron pair repulsion theory (VSEPR).</p>
<div class="marks">[4]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">State and explain the Cl–P–Cl bond angle in PCl<sub><span class="s1">3</span></sub>.</p>
<div class="marks">[3]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Deduce the Lewis (electron dot) structure of PCl<sub><span class="s1">5</span></sub>.</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 class="p1">Predict the shape of this molecule, using the valence shell electron pair repulsion theory (VSEPR).</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 class="p1">Identify all the different bond angles in PCl<sub><span class="s1">5</span></sub>.</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 class="p1">PCl<sub><span class="s1">3</span></sub>Br<sub><span class="s1">2 </span></sub>has the same molecular shape as PCl<sub><span class="s1">5</span></sub>. Draw the three isomers of PCl<sub><span class="s1">3</span></sub>Br<sub><span class="s1">2 </span></sub>and deduce whether each isomer is polar or non-polar.</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Define the term <em>ligand</em>.</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 class="p1">Explain why the complex [Cr(H<sub><span class="s1">2</span></sub>O)<sub><span class="s1">3</span></sub>Cl<sub><span class="s1">3</span></sub>] is coloured.</p>
<div class="marks">[3]</div>
<div class="question_part_label">d.ii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">2 mol (g) going to 3 mol (g)/increase in number of particles, therefore entropy increases/\(\Delta S\) positive / <em>OWTTE</em>;</p>
<p class="p1"><em>Accept if numbers of moles of gas are given below the equation.</em></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\left( {\Delta {S^\Theta } = [(2)(311.7) + (205.0)] - (2)(325.0) = } \right)( + )178.4{\text{ }}({\text{J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}})\);</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">heat/enthalpy change/required/absorbed when <span style="text-decoration: underline;">1</span> <span style="text-decoration: underline;">mol</span> of a compound is formed from its elements in their standard states/at 100 kPa/10<sup><span class="s1">5 </span></sup>Pa/1 bar;</p>
<p class="p1"><em>Allow 1.01 </em>\( \times \) <em>10</em><sup><span class="s2"><em>5 </em></span></sup><em>Pa</em>/<em>101 kPa</em>/<em>1 atm.</em></p>
<p class="p1"><em>Allow under standard conditions or standard temperature and pressure.</em></p>
<p class="p1"><em>Temperatures not required in definition, allow if quoted (for example, </em><em>298 K/ 25 °C</em><span class="s3"> </span><em>– most common) but pressure value must be correct if stated.</em></p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\left( {\Delta {H^\Theta } = [(2)( - 288.1)] - [(2)( - 542.2)]) = } \right)( + )508.2{\text{ }}({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}})\);</p>
<div class="question_part_label">a.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\left( {\Delta {G^\Theta } = \Delta {H^\Theta } - T\Delta {S^\Theta } = (508.2) - (298)\left( {\frac{{178.4}}{{1000}}} \right) = } \right){\text{ ( + )}}455.0{\text{ }}({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}})\);</p>
<div class="question_part_label">a.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(T > \left( {\frac{{\Delta {H^\Theta }}}{{\Delta {S^\Theta }}} = \frac{{508.2}}{{\left( {\frac{{178.4}}{{1000}}} \right)}} = } \right){\text{ }}2849{\text{ (K)}}/2576\) (°C);</p>
<p class="p1"><em>Allow temperatures in the range 2848–2855 K.</em></p>
<p class="p1"><em>Accept T </em>= <em>2849(K) .</em></p>
<p class="p1"><em>No ECF for temperatures T in the range 0–100 K.</em></p>
<div class="question_part_label">a.vi.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2016-09-16_om_08.00.07.png" alt="M13/4/CHEMI/HP2/ENG/TZ2/05.b.i/M"></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">allow any bond angle in the range 100° to less than 109° (experimental value is100°);</p>
<p class="p1">due to four negative charge centres/four electron pairs/four electron domains (one of which is a lone pair)/tetrahedral arrangement of electron pairs/domains;</p>
<p class="p1">extra repulsion due to lone pair electrons / lone pairs occupy more space (than bonding pairs) so Cl–P–Cl bond angle decreases from 109.5° / <em>OWTTE</em>;</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2016-09-16_om_08.06.45.png" alt="M13/4/CHEMI/HP2/ENG/TZ2/05.c.i/M"> ;</p>
<p class="p1"><em>Allow any combination of dots/crosses or lines to represent electron pairs.</em></p>
<p class="p1"><em>Do not penalise missing lone pairs on Cl if already penalised in (b)(i).</em></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">trigonal/triangular bipyramidal;</p>
<p class="p1"><em>Do not allow ECF from Lewis structures with incorrect number of </em><em>negative charge centres.</em></p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">120°<span class="s1"> </span><strong>and </strong>90°/180°;</p>
<p class="p1"><em>Ignore other bond angles such as 240°</em><span class="s1"> </span><em>and 360°</em><em>.</em></p>
<p class="p1"><em>Apply list principle if some correct and incorrect angles given.</em></p>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2016-09-16_om_08.15.17.png" alt="M13/4/CHEMI/HP2/ENG/TZ2/05.c.iv/M"></p>
<p class="p1"><em>Award </em><strong><em>[1] </em></strong><em>for correct structure </em><strong><em>and </em></strong><em>molecular polarity.</em></p>
<p class="p1"><em>Award </em><strong><em>[1 max] </em></strong><em>for correct representations of all three isomers.</em></p>
<p class="p1"><em>Lone pairs not required.</em></p>
<div class="question_part_label">c.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">species with lone/non-bonding pair (of electrons);</p>
<p class="p1">which bonds to metal ion (in complex) / which forms dative (covalent)/coordinate bond to metal ion (in complex);</p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">unpaired electrons in d orbitals / d sub-level partially occupied;</p>
<p class="p1">d orbitals split (into two sets of different energies);</p>
<p class="p1">frequencies of (visible) light absorbed by electrons moving from lower to higher d levels;</p>
<p class="p1">colour due to remaining frequencies / complementary colour transmitted;</p>
<p class="p1"><em>Allow wavelength as well as frequency.</em></p>
<p class="p1"><em>Do not accept colour emitted.</em></p>
<div class="question_part_label">d.ii.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">a.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">a.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">a.vi.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">c.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the entropy, enthalpy and free energy changes but made mistakes with the correct definition of enthalpy of formation’. Many referred to the gaseous state which suggests some confusion with bond enthalpies. Many were comfortable with writing Lewis structures and shapes of molecules, or some give incomplete explanations, not referring to the number of electron domains for example. Not many students could write a balanced equation for the reaction between PCl<sub><span class="s1">3 </span></sub>and H<sub><span class="s1">2</span></sub>O (A.S. 13.1.2 of the guide). In part (d) even though many knew that a ligand has a lone pair of electrons, they missed the second mark for ‘bonding to metal ion’.</p>
<div class="question_part_label">d.ii.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">The Born-Haber cycle for MgO under standard conditions is shown below.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-10-02_om_15.47.42.png" alt="N09/4/CHEMI/HP2/ENG/TZ0/07.a_1"></p>
<p class="p1">The values are shown in the table below.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-10-02_om_15.48.28.png" alt="N09/4/CHEMI/HP2/ENG/TZ0/07.a_2"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Identify the processes represented by <strong>A</strong>, <strong>B </strong>and <strong>D </strong>in the cycle.</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 class="p1">Define the enthalpy change, <strong>F</strong>.</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 class="p1">Determine the value of the enthalpy change, <strong>E</strong>.</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 class="p1">Define the enthalpy change <strong>C </strong>for the first value. Explain why the second value is significantly larger than the first.</p>
<div class="marks">[4]</div>
<div class="question_part_label">a.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">The inter-ionic distance between the ions in NaF is very similar to that between the ions in MgO. Suggest with a reason, which compound has the higher lattice enthalpy value.</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 class="p1">The standard enthalpy change of three combustion reactions is given below in kJ.</p>
<p class="p1">\[\begin{array}{*{20}{l}} {{\text{2}}{{\text{C}}_{\text{2}}}{{\text{H}}_{\text{6}}}{\text{(g)}} + {\text{7}}{{\text{O}}_{\text{2}}}{\text{(g)}} \to {\text{4C}}{{\text{O}}_{\text{2}}}{\text{(g)}} + {\text{6}}{{\text{H}}_{\text{2}}}{\text{O(l)}}}&{\Delta {H^\Theta } = - 3120} \\ {{\text{2}}{{\text{H}}_2}({\text{g)}} + {{\text{O}}_2}{\text{(g)}} \to {\text{2}}{{\text{H}}_2}{\text{O(l)}}}&{\Delta {H^\Theta } = - {\text{572}}} \\ {{{\text{C}}_2}{{\text{H}}_4}({\text{g)}} + {\text{3}}{{\text{O}}_2}{\text{(g)}} \to {\text{2C}}{{\text{O}}_2}{\text{(g)}} + 2{{\text{H}}_2}{\text{O(l)}}}&{\Delta {H^\Theta } = - {\text{1411}}} \end{array}\]</p>
<p class="p1">Based on the above information, calculate the standard change in enthalpy, \(\Delta {H^\Theta }\), for the following reaction.</p>
<p class="p1">\[{{\text{C}}_2}{{\text{H}}_6}({\text{g)}} \to {{\text{C}}_2}{{\text{H}}_4}({\text{g)}} + {{\text{H}}_2}{\text{(g)}}\]</p>
<div class="marks">[4]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Predict, stating a reason, whether the sign of \({\Delta {S^\Theta }}\) for the above reaction would be positive or negative.</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 class="p1">Discuss why the above reaction is non-spontaneous at low temperature but becomes spontaneous at high temperatures.</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 class="p1">Using bond enthalpy values, calculate \(\Delta {H^\Theta }\) for the following reaction.</p>
<p class="p1">\[{{\text{C}}_2}{{\text{H}}_6}({\text{g)}} \to {{\text{C}}_2}{{\text{H}}_4}({\text{g)}} + {{\text{H}}_2}{\text{(g)}}\]</p>
<div class="marks">[3]</div>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Suggest with a reason, why the values obtained in parts (b) (i) and (b) (iv) are different.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.v.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1"><strong>A: </strong>sublimation/atomization;</p>
<p class="p1"><strong>B: </strong>atomization/half dissociation enthalpy;</p>
<p class="p1"><strong>D: </strong>(sum of 1<sup><span class="s1">st </span></sup>and 2<sup><span class="s1">nd</span></sup>) electron affinity;</p>
<p class="p1"><em>Do not accept vaporization for A and B.</em></p>
<p class="p1"><em>Accept </em>\(\Delta {H_{AT}}\)\( \cdot \)<em> or </em>\(\Delta {H_{EA}}\)<span class="s1"><em>.</em></span></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">enthalpy change when one mole of the compound is formed from its elements (in their standard states);</p>
<p class="p1">under standard conditions / 25 °C/298 K <strong>and </strong>1 atm/\({\text{101.3 kPa/1.01}} \times {\text{105 Pa}}\);</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\( - 602 = 150 + 248 + 2186 + 702 + E\);</p>
<p class="p1">\( - {\text{3888 (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p class="p1"><em>Do not allow 3889 (given in data booklet).</em></p>
<p class="p1"><em>Allow 3888 (i.e no minus sign).</em></p>
<p class="p1"><em>Award </em><strong><em>[2] </em></strong><em>for the correct final answer.</em></p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">energy required to remove one electron;</p>
<p class="p1">from an atom in its <span style="text-decoration: underline;">gaseous</span> state;</p>
<p class="p1">electron removed from a positive ion;</p>
<p class="p1">decrease in electron-electron repulsion / increase in nucleus-electron attraction;</p>
<div class="question_part_label">a.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">MgO;</p>
<p class="p1">double ionic charge / both ions carry +2 and –2 charge/greater charge compared to +1 and –1;</p>
<div class="question_part_label">a.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\[\begin{array}{*{20}{l}} {\left( {{{\text{C}}_2}{{\text{H}}_6}{\text{(g)}} + {\text{3}}\frac{1}{2}{{\text{O}}_2}{\text{(g)}} \to {\text{2C}}{{\text{O}}_2}{\text{(g)}} + {\text{3}}{{\text{H}}_2}{\text{O(l)}}} \right)}&{\Delta {H^\Theta } = - {\text{1560;}}} \\ {\left( {{{\text{H}}_2}{\text{O(l)}} \to {{\text{H}}_2}{\text{(g)}} + \frac{1}{2}{{\text{O}}_2}{\text{(g)}}} \right)}&{\Delta {H^\Theta } = + {\text{286;}}} \\ {\left( {{\text{2C}}{{\text{O}}_2}{\text{(g)}} + {\text{2}}{{\text{H}}_2}{\text{O(l)}} \to {{\text{C}}_2}{{\text{H}}_4}{\text{(g)}} + {\text{3}}{{\text{O}}_2}{\text{(g)}}} \right)}&{\Delta {H^\Theta } = + {\text{1411;}}} \\ {\left( {{{\text{C}}_2}{{\text{H}}_6}{\text{(g)}} \to {{\text{C}}_2}{{\text{H}}_4}{\text{(g)}} + {{\text{H}}_2}{\text{(g)}}} \right)}&{\Delta {H^\Theta } = + {\text{137 (kJ);}}} \end{array}\]</p>
<p class="p1"><em>Allow other correct methods.</em></p>
<p class="p1"><em>Award </em><strong><em>[2] </em></strong><em>for –137.</em></p>
<p class="p1"><em>Allow ECF for the final marking point.</em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">positive;</p>
<p class="p1">increase in number of moles of <span style="text-decoration: underline;">gas</span>;</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">at low temperature, \({\Delta {H^\Theta }}\) is positive <strong>and</strong> \({\Delta G}\) is positive;</p>
<p class="p1">at high temperature, factor \({\text{T}}\Delta {S^\Theta }\) predominates <strong>and </strong>\({\Delta G}\) is negative;</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Bonds broken (1C–C, 6C–H, or 1C–C, 2C–H) = 2825/1173;</p>
<p class="p1">Bonds made (1C=C, 1H–H, 4C–H) = 2700/1048;</p>
<p class="p1">+125 (kJ);</p>
<p class="p2"><em>Allow 125 but not –125 (kJ ) for the final mark.</em></p>
<p class="p2"><em>Award </em><span class="s1"><strong><em>[3] </em></strong></span><em>for the correct final answer.</em></p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">bond enthalpy values are average values;</p>
<div class="question_part_label">b.v.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">This was the second most popular question and in general candidates demonstrated a good understanding of the Born Haber cycle. Some candidates identified the process A as vaporization instead of atomization.</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates correctly stated the definition of enthalpy change of formation although some omitted to specify the standard conditions.</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The majority of candidates correctly calculated the lattice enthalpy value.</p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The definition of the first ionization energy was stated correctly by most candidates but in a few cases the term gaseous state was missing.</p>
<div class="question_part_label">a.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The compound with higher lattice enthalpy was correctly identified including the reason.</p>
<div class="question_part_label">a.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The majority of candidates manipulated the thermo-chemical equations and calculated the correct answer of +137 kJ although some reversed the sign.</p>
<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;">
<p class="p1">The explanation for why the reaction was non-spontaneous at low temperature but became spontaneous at high temperature was not always precise and deprived many candidates of at least one mark.</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">The bond enthalpy calculation had the usual mistakes of using the wrong value from the data booklet, bond making minus bond breaking and –125 kJ instead of +125 kJ.</p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.v.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">Two students were asked to use information from the Data Booklet to calculate a value for the enthalpy of hydrogenation of ethene to form ethane.</p>
<p class="p1">\[{{\text{C}}_2}{{\text{H}}_4}{\text{(g)}} + {{\text{H}}_2}{\text{(g)}} \to {{\text{C}}_2}{{\text{H}}_6}{\text{(g)}}\]</p>
<p class="p1">John used the average bond enthalpies from Table 10. Marit used the values of enthalpies of combustion from Table 12.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Determine the value for the enthalpy of hydrogenation of ethene using the values for the enthalpies of combustion of ethene, hydrogen and ethane given in Table 12.</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 class="p1">Suggest <strong>one </strong>reason why John’s answer is slightly less accurate than Marit’s answer and calculate the percentage difference.</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>\(\Delta H = -1411 + ( - 286) - ( - 1560)\) / correct energy cycle drawn;</p>
<p>\( = - 137{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\);</p>
<p><em>Award </em><strong><em>[1 max] </em></strong><em>for incorrect or missing sign.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">the actual values for the specific bonds may be different to the average values / the combustion values referred to the specific compounds / <em>OWTTE</em>;</p>
<p class="p1">(percentage difference) \( = \frac{{(137 - 125)}}{{137}} \times 100 = 8.76\% \);</p>
<p class="p1"><em>Accept </em>\(\frac{{(137 - 125)}}{{125}} \times 100 = 9.60\% \).</p>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">In part (b) the formula involving enthalpies of formation was often used instead of a correct enthalpy cycle for the combustion. This caused the majority of candidates to score half marks for these questions.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">A few candidates could suggest a reason why one answer was slightly less accurate than the other in part (c). Most could correctly calculate the percentage difference. Surprisingly, several candidates calculated part (a) correctly and part (b) incorrectly, and then determined a percentage difference of more than 200% without seeming to notice that this does not reflect two slightly different answers.</p>
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p>Hydrogen peroxide decomposes according to the equation below.</p>
<p>\({\text{2}}{{\text{H}}_{\text{2}}}{{\text{O}}_{\text{2}}}{\text{(aq)}} \to {\text{2}}{{\text{H}}_{\text{2}}}{\text{O(l)}} + {{\text{O}}_{\text{2}}}{\text{(g)}}\)</p>
<p>The rate of the decomposition can be monitored by measuring the volume of oxygen gas released. The graph shows the results obtained when a solution of hydrogen peroxide decomposed in the presence of a CuO catalyst.</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2016-08-22_om_06.42.58.png" alt="N14/4/CHEMI/HP2/ENG/TZ0/11"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline how the initial rate of reaction can be found from the graph.</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 how and why the rate of reaction changes with time.</p>
<div class="marks">[3]</div>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>A Maxwell-Boltzmann energy distribution curve is drawn below. Label both axes and explain, by annotating the graph, how catalysts increase the rate of reaction.</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2016-08-22_om_06.52.11.png" alt="N14/4/CHEMI/HP2/ENG/TZ0/11.b"></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>(i) In some reactions, increasing the concentration of a reactant does not increase the rate of reaction. Describe how this may occur.</p>
<p> </p>
<p> </p>
<p> </p>
<p>(ii) Consider the reaction</p>
<p>\[{\text{2A}} + {\text{B}} \to {\text{C}} + {\text{D}}\]</p>
<p>The reaction is first order with respect to <strong>A</strong>, and zero order with respect to <strong>B</strong>. Deduce the rate expression for this reaction.</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>Sketch a graph of rate constant \((k)\) versus temperature.</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2016-08-22_om_07.07.50.png" alt="N14/4/CHEMI/HP2/ENG/TZ0/11.d"></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>Hydrochloric acid neutralizes sodium hydroxide, forming sodium chloride and water.</p>
<p>\({\text{NaOH(aq)}} + {\text{HCl(aq)}} \to {\text{NaCl(aq)}} + {{\text{H}}_{\text{2}}}{\text{O(l)}}\) \(\Delta {H^\Theta } = - 57.9{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\)</p>
<p>(i) Define <em>standard enthalpy change of reaction</em>, \(\Delta {H^\Theta }\).</p>
<p>(ii) Determine the amount of energy released, in kJ, when \({\text{50.0 c}}{{\text{m}}^{\text{3}}}\) of \({\text{1.00 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) sodium hydroxide solution reacts with \({\text{50.0 c}}{{\text{m}}^{\text{3}}}\) of \({\text{1.00 mol}}\,{\text{d}}{{\text{m}}^{ - 3}}\) hydrochloric acid solution.</p>
<p>(iii) In an experiment, 2.50 g of solid sodium hydroxide was dissolved in \({\text{50.0 c}}{{\text{m}}^{\text{3}}}\) of water. The temperature rose by 13.3 °C. Calculate the standard enthalpy change, in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), for dissolving one mole of solid sodium hydroxide in water.</p>
<p>\[{\text{NaOH(s)}} \to {\text{NaOH(aq)}}\]</p>
<p>(iv) Using relevant data from previous question parts, determine \(\Delta {H^\Theta }\), in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), for the reaction of solid sodium hydroxide with hydrochloric acid.</p>
<p>\[{\text{NaOH(s)}} + {\text{HCl(aq)}} \to {\text{NaCl(aq)}} + {{\text{H}}_{\text{2}}}{\text{O(l)}}\]</p>
<div class="marks">[9]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>(i) Zinc is found in the d-block of the periodic table. Explain why it is not considered a transition metal.</p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>
<p>(ii) Explain why \({\text{F}}{{\text{e}}^{3 + }}\) is a more stable ion than \({\text{F}}{{\text{e}}^{2 + }}\) by reference to their electron configurations.</p>
<div class="marks">[5]</div>
<div class="question_part_label">f.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>(draw a) tangent to the curve at origin/time = 0/start of reaction;</p>
<p>(calculate) the gradient/slope (of the tangent);</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>rate decreases (with time);</p>
<p>concentration/number of (reactant) molecules per unit volume decreases (with time);</p>
<p><em>Do not accept “number of molecules decreases” or “amount of reactant </em><em>decreases”.</em></p>
<p>collisions (between reactant molecules/reactant and catalyst) become less frequent;</p>
<p><em>Do not accept “fewer collisions” without reference to frequency (eg, no. </em><em>collisions per second).</em></p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>y</em>-<em>axis</em>: probability / fraction of molecules/particles / probability density</p>
<p><em>Allow “number of particles/molecules” on y-axis.</em></p>
<p><strong>and</strong></p>
<p><em>x</em>-<em>axis</em>: (kinetic) energy;</p>
<p><em>Accept “speed/velocity” on x-axis.</em></p>
<p><img src="images/Schermafbeelding_2016-08-22_om_06.55.55.png" alt="N14/4/CHEMI/HP2/ENG/TZ0/11.b/M"></p>
<p>correct relative position of \({E_{\text{a}}}\) catalysed and \({E_{\text{a}}}\) uncatalysed;</p>
<p>more/greater proportion of molecules/collisions have the lower/required/catalysed \({E_{\text{a}}}\) (and can react upon collision);</p>
<p><em>M3 can be scored by stating </em><strong><em>or </em></strong><em>shading and annotating the graph.</em></p>
<p><em>Accept “a greater number/proportion of successful collisions as catalyst reduces </em>\({E_a}\)<em>”.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) reactant not involved in (or before) the slowest/rate-determining step/RDS;</p>
<p>reactant is in (large) excess;</p>
<p>(ii) \({\text{(rate}} = {\text{) }}k{\text{[A]}}\);</p>
<p><em>Accept rate =</em> <em>k[A]<sup>1</sup>[B]<sup>0</sup></em><em>.</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>curve with a positive slope curving upwards;</p>
<p><em>Do not penalize if curve passes through the origin.</em></p>
<p><img src="images/Schermafbeelding_2016-08-22_om_07.10.15.png" alt="N14/4/CHEMI/HP2/ENG/TZ0/11.d/M"></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) heat transferred/absorbed/released/enthalpy/<span style="text-decoration: underline;">potential</span> energy change when 1 mol/molar amounts of reactant(s) react (to form products) <em>/ OWTTE</em>;</p>
<p>under standard conditions / at a pressure 100 kPa/101.3 kPa/1 atm <strong>and</strong> temperature 298 K/25 °C;</p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for difference between standard enthalpies of products and standard enthalpies of reactants / </em>\({H^\Theta }\) <em>(products) – </em>\({H^\Theta }\) <em>(reactants).</em></p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for difference between standard enthalpies of formation of products and standard enthalpies of formation of reactants / </em>\(\Sigma \Delta H_f^\Theta \)<em> (products) – </em>\(\Sigma \Delta H_f^\Theta \) <em>(reactants).</em></p>
<p>(ii) \((1.00 \times 0.0500 = ){\text{ }}0.0500{\text{ (mol)}}\);</p>
<p>\((0.0500 \times 57.9 = ){\text{ }}2.90{\text{ (kJ)}}\);</p>
<p><em>Ignore any negative sign.</em></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 2900 J.</em></p>
<p>(iii) \(\left( {\frac{{2.50}}{{40.00}} = } \right){\text{ }}0.0625{\text{ (mol NaOH)}}\);</p>
<p>\(0.0500 \times 4.18 \times 13.3 = 2.78{\text{ (kJ)}}/50.0 \times 4.18 \times 13.3 = 2780{\text{ (J)}}\);</p>
<p>\(\left( {\frac{{2.78}}{{0.0625}}} \right) = - 44.5{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}})\);</p>
<p><em>Award </em><strong><em>[3] </em></strong><em>for correct final answer.</em></p>
<p><em>Negative sign is necessary for M3.</em></p>
<p><em>Award M2 and M3 if is used to obtain an enthalpy change of –46.7 (kJ mol<sup>–1</sup>).</em></p>
<p>(iv) \( - 44.5 - 57.9\) / correct Hess’s Law cycle (as below) / correct manipulation of equations;</p>
<p><img src="images/Schermafbeelding_2016-08-22_om_07.41.59.png" alt="N14/4/CHEMI/HP2/ENG/TZ0/1.e.iv/M"></p>
<p>\( - 102.4{\text{ kJ}}\);</p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) zinc (only) forms the ion \({\text{Z}}{{\text{n}}^{2 + }}\) / has the oxidation state \( + 2\);</p>
<p><em>Allow forms only one ion / has only one oxidation state.</em></p>
<p>has full d-subshell/orbitals / does not have a partially filled d-subshell/orbitals (needed to exhibit transition metal properties);</p>
<p>(ii) \({\text{F}}{{\text{e}}^{2 + }}{\text{: 1}}{{\text{s}}^{\text{2}}}{\text{2}}{{\text{s}}^{\text{2}}}{\text{2}}{{\text{p}}^{\text{6}}}{\text{3}}{{\text{s}}^{\text{2}}}{\text{3}}{{\text{p}}^{\text{6}}}{\text{3}}{{\text{d}}^{\text{6}}}/{\text{[Ar] 3}}{{\text{d}}^{\text{6}}}\) <strong>and</strong> \({\text{F}}{{\text{e}}^{3 + }}{\text{: 1}}{{\text{s}}^{\text{2}}}{\text{2}}{{\text{s}}^{\text{2}}}{\text{2}}{{\text{p}}^{\text{6}}}{\text{3}}{{\text{s}}^{\text{2}}}{\text{3}}{{\text{p}}^{\text{6}}}{\text{3}}{{\text{d}}^{\text{5}}}/{\text{[Ar] 3}}{{\text{d}}^{\text{5}}}\);</p>
<p>half-full sub-level/3d<sup>5</sup> has extra stability;</p>
<p>less repulsion between electrons / electrons singly occupy orbitals / electrons do not have to pair with other electrons;</p>
<p><em>Accept converse points for Fe</em><sup><em>2+</em></sup><em>.</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;">
<p>Most candidates related the rate of reaction to the gradient of the curve, but only a few suggested drawing a tangent at \(t = 0\).</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Answers were often disappointing and only a few candidates gained full marks.</p>
<p>Candidates often talked about the number of reactant molecules decreasing but neglected to relate this to a lower concentration. Also some candidates still fail to highlight frequency rather than the number of collisions.</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Well answered by more than half of the candidates. The labelling of the axes was a challenge for some candidates. The annotation of the diagram with the energy of activation with and without a catalyst was mostly correct, though some weaker students confused it with the effect of temperature and constructed a second curve. Some candidates could not offer an explanation for the third mark.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) Only a few candidates scored this mark. Many candidates stated that a reactant concentration having no effect indicated that the reaction that was zero order in that species, rather than describing the underlying mechanistic reason for the zero order dependence.</p>
<p>(ii) More than half of the candidates could construct a correct rate expression from information about the order of the reactants.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>A number of candidates gave a linear relationship, rather than an exponential one, between reaction rate and temperature.</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) Defining the standard enthalpy change of reaction was not well answered.</p>
<p>(ii) More than half of the candidates calculated the amount of energy released correctly.</p>
<p>(iii) Half of the candidates were able to gain the three marks. Many candidates lost the third mark for not quoting the negative sign for the enthalpy change. Quite a few candidates used a wrong value for the mass of water.</p>
<p>(iv) Many good answers. A Hess’s Law cycle wasn’t often seen. Quite a few candidates scored through ECF from (iii).</p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i) Most candidates knew that zinc has a full 3d sub-shell but almost all missed out on the second mark about only having one possible oxidation state in its compounds.</p>
<p>(ii) This was a challenging question for many candidates. A large number of candidates did not give the correct electron configurations for the ions, and only few mentioned the stability of the half-full d-sub-shell. Very few scored the third mark.</p>
<div class="question_part_label">f.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">Consider the following reaction.</p>
<p class="p1">\[{\text{2C}}{{\text{H}}_{\text{3}}}{\text{OH(g)}} + {{\text{H}}_{\text{2}}}{\text{(g)}} \to {{\text{C}}_{\text{2}}}{{\text{H}}_{\text{6}}}{\text{(g)}} + {\text{2}}{{\text{H}}_{\text{2}}}{\text{O(g)}}\]</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">The standard enthalpy change of formation for \({\text{C}}{{\text{H}}_{\text{3}}}{\text{OH(g)}}\) at 298 K is \( - 201{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\) and for \({{\text{H}}_{\text{2}}}{\text{O(g)}}\) is \( - 242{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\). Using information from Table 11 of the Data Booklet, determine the enthalpy change for this reaction.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">The standard entropy for \({\text{C}}{{\text{H}}_{\text{3}}}{\text{OH(g)}}\) at 298 K is \({\text{238 J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}\), for \({{\text{H}}_{\text{2}}}{\text{(g)}}\) is \({\text{131 J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}\) and for \({{\text{H}}_{\text{2}}}{\text{O(g)}}\) is \({\text{189 J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}\). Using information from Table 11 of the Data Booklet, determine the entropy change for this reaction.</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 class="p1">Calculate the standard change in free energy, at 298 K, for the reaction and deduce whether the reaction is spontaneous or non-spontaneous.</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta H_{{\text{reaction}}}^\Theta = \Sigma \Delta H_{\text{f}}^\Theta {\text{(products)}} - \Sigma \Delta H_{\text{f}}^\Theta {\text{(reactants)}}\)</p>
<p>\( = [(1)( - 85) + (2)( - 242)] - [(2)( - 201)]\);</p>
<p>\( = - 167{\text{ (kJ/kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p><em>Award </em><strong><em>[1] </em></strong><em>for (+)167.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta S_{{\text{reaction}}}^\Theta = \Sigma {S^\Theta }{\text{(products)}} - \Sigma {S^\Theta }{\text{(reactants)}}\)</p>
<p>\( = [(1)(230) + (2)(189)] - [(2)(238) + (1)(131)]\);</p>
<p>\( = 1{\text{ (J}}\,{{\text{K}}^{ - 1}}{\text{/J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta G_{{\text{reaction}}}^\Theta = (\Delta {H^\Theta } - T\Delta {S^\Theta }) = ( - 167) - (298)(0.001)\);</p>
<p><em>Award </em><strong><em>[1] </em></strong><em>for correct substitution of values.</em></p>
<p>\( = - 167{\text{ kJ/}} - 167000{\text{ J}}\);</p>
<p class="p1"><em>Units needed for mark in (c) only.</em></p>
<p class="p1"><em>Accept –167 kJ</em>\(\,\)<em>mol</em><sup><span class="s1"><em>–1 </em></span></sup><em>or –167000 J</em>\(\,\)<em>mol</em><sup><span class="s1"><em>–1</em></span></sup><em>. </em></p>
<p class="p1">spontaneous;</p>
<p class="p1"><em>Award marks for final correct answers throughout in each of (a), (b) and (c).</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;">
<p class="p1">In (a) the most common mistakes included: failure to consider the correct amount of moles of products/reactants, incorrect identification of values or wrong use of convention. It also should be noted that the correct units of \(\Delta {H^\Theta }\) here in the answer will be kJ, since \(n\) is used in the equation, as explained in previous subject reports.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Part (b) was another question where the vast majority of candidates scored full marks.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Free energy calculations (c) continues to prove problematic for many candidates. Candidates very often lost the first mark due to wrong use of units. ECF allowed them to score the second. In contrast most candidates showed a clear understanding of the relationship between the sign of \(\Delta {G^\Theta }\) and spontaneity.</p>
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">Ethanol has many industrial uses.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">State an equation for the formation of ethanol from ethene and the necessary reaction conditions.</p>
<p class="p1">Equation:</p>
<p class="p1"> </p>
<p class="p1">Conditions:</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 class="p1">Define the term <em>average bond enthalpy</em>.</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 class="p1">Ethanol can be used as a fuel. Determine the enthalpy of combustion of ethanol at 298 K, in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - {\text{1}}}}\), using the values in table 10 of the data booklet, assuming all reactants and products are gaseous.</p>
<div class="marks">[4]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Students can also measure the enthalpy of combustion of ethanol in the laboratory using calorimetry. Suggest the major source of systematic error in these procedures.</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 class="p1">State the equation for the acid-catalysed reaction of ethanol with propanoic acid and state the name of the organic product.</p>
<p class="p1">Equation:</p>
<p class="p1"> </p>
<p class="p1"> </p>
<p class="p1">Name of the organic product:</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 class="p1">A polyester can be formed when ethane-1,2-diol reacts with benzene-1,4-dicarboxylic acid.</p>
<p class="p1">Deduce the structure of the repeating unit and state the other product formed.</p>
<p class="p1">Repeating unit:</p>
<p class="p1"> </p>
<p class="p1"> </p>
<p class="p1"> </p>
<p class="p1">Other product:</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 class="p1">State the type of polymerization that occurs.</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 class="p1"><span class="s1">The standard enthalpy change of combustion, \(\Delta H_{\text{c}}^\Theta \), of propanoic acid is \( - 1527{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\)</span>. Determine the standard enthalpy change of formation of propanoic acid, in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), using this information and data from table 12 of the data booklet.</p>
<div class="marks">[4]</div>
<div class="question_part_label">f.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Deduce, giving a reason, the sign of the standard entropy change of the system for the formation of propanoic acid from its elements.</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 class="p1">Identify <strong>three</strong> allotropes of carbon and describe their structures.</p>
<div class="marks">[4]</div>
<div class="question_part_label">g.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1"><em>Equation:</em></p>
<p class="p1">\({\text{C}}{{\text{H}}_{\text{2}}}{\text{C}}{{\text{H}}_{\text{2}}} + {{\text{H}}_{\text{2}}}{\text{O}} \to {\text{C}}{{\text{H}}_{\text{3}}}{\text{C}}{{\text{H}}_{\text{2}}}{\text{OH/}}{{\text{C}}_2}{{\text{H}}_4} + {{\text{H}}_2}{\text{O}} \to {{\text{C}}_2}{{\text{H}}_5}{\text{OH}}\);</p>
<p class="p1"><em>Conditions</em>:</p>
<p class="p1">(concentrated) sulfuric acid/\({{\text{H}}_2}{\text{S}}{{\text{O}}_4}\);</p>
<p class="p1"><em>Do not accept dilute sulfuric acid.</em></p>
<p class="p1"><em>Accept phosphoric acid/</em>\({H_3}P{O_4}\)<em> (on pellets of silicon dioxide) (for industrial preparation).</em></p>
<p class="p1">heat / high temperature;</p>
<p class="p1"><em>Do not accept warm.</em></p>
<p class="p1"><em>Accept high pressure (for industrial preparation) for M3 only if </em>\({H_3}P{O_4}\)<em> is given for M2</em>.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">energy needed to break (1 mol of) a bond in the <span style="text-decoration: underline;">gaseous</span> state/phase;</p>
<p class="p1">(averaged over) similar compounds;</p>
<p class="p1"><em>Do not accept “similar bonds” instead of “similar compounds”.</em></p>
<p class="p1"><em>Concept of “similar” is important for M2.</em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({\text{C}}{{\text{H}}_3}{\text{C}}{{\text{H}}_2}{\text{OH}} + {\text{3}}{{\text{O}}_2} \to {\text{2C}}{{\text{O}}_2} + {\text{3}}{{\text{H}}_2}{\text{O}}\);</p>
<p class="p1"><em>Bonds broken:</em></p>
<p class="p1">\(347 + (5 \times 413) + 358 + 464 + (3 \times 498)/4728{\text{ (kJ)}}/{\text{C–C}} + 5{\text{C–H}} + {\text{C–O}} + {\text{O–H}} + {\text{3O=O}}\);</p>
<p class="p1"><em>Bonds made:</em></p>
<p class="p1">\((4 \times 746) + (6 \times 464) = 5768{\text{ (kJ)}}/{\text{4C = O}} + {\text{6O–H}}\);</p>
<p class="p1">\(\Delta H = (4728 - 5768 = ) - 1040{\text{ }}({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}})\) / bonds broken − bonds formed;</p>
<p class="p1"><em>Award </em><strong><em>[4] </em></strong><em>for correct final answer.</em></p>
<p class="p1"><em>Award </em><strong><em>[3] </em></strong><em>for (</em><span class="s1">+</span><em>)1040 (</em>\(kJ\,mo{l^{ - 1}}\)<em>).</em></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">heat loss (to the surroundings);</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({\text{C}}{{\text{H}}_3}{\text{C}}{{\text{H}}_2}{\text{OH}} + {\text{C}}{{\text{H}}_3}{\text{C}}{{\text{H}}_2}{\text{COOH}} \rightleftharpoons {\text{C}}{{\text{H}}_3}{\text{C}}{{\text{H}}_2}{\text{OOCCH2C}}{{\text{H}}_3} + {{\text{H}}_2}{\text{O}}\);</p>
<p class="p1">ethyl propanoate;</p>
<p class="p1"><em>Do not penalize if equilibrium arrow missing.</em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><em>Repeating unit</em>:</p>
<p class="p1"><img src="images/Schermafbeelding_2016-08-02_om_19.36.30.png" alt="M15/4/CHEMI/HP2/ENG/TZ1/05.e.i/M"> ;</p>
<p class="p1"><em>Continuation lines must be shown.</em></p>
<p class="p1"><em>Ignore brackets and n.</em></p>
<p class="p1"><em>Accept condensed formulas such as </em>\(C{H_2}\) <em>and </em>\({C_6}{H_4}\)<em>.</em></p>
<p class="p1"><em>Other product:</em></p>
<p class="p1">\({{\text{H}}_{\text{2}}}{\text{O}}\)/water;</p>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">condensation;</p>
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\({\text{3C(s)}} + {\text{3}}{{\text{H}}_2}{\text{(g)}} + {{\text{O}}_2}{\text{(g)}} \to {\text{C}}{{\text{H}}_{\text{3}}}{\text{C}}{{\text{H}}_{\text{2}}}{\text{COOH(l)}}\);</p>
<p>\(\Delta H_{\text{f}}^\Theta = \sum \Delta H_{\text{c}}^\Theta {\text{ (reactants)}} - \sum {\Delta H_{\text{c}}^\Theta {\text{ (products)}}} \);</p>
<p><em>Accept any suitable energy cycle.</em></p>
<p>\(\sum {\Delta H_{\text{c}}^\Theta {\text{ (reactants)}}} = 3 \times ( - 394) + 3 \times ( - 286)/ - 2040{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}})\);</p>
<p>\((\Delta H_{\text{f}}^\Theta = [3 \times ( - 394) + 3 \times ( - 286)] - ( - 1527) = ) - 513{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}})\);</p>
<p><strong>OR</strong></p>
<p>\({\text{C}}{{\text{H}}_3}{\text{C}}{{\text{H}}_2}{\text{COOH(l)}} + {\text{3.5}}{{\text{O}}_2}{\text{(g)}} \to {\text{3C}}{{\text{O}}_2}{\text{(g)}} + {\text{3}}{{\text{H}}_2}{\text{O(g)}}\);</p>
<p>\(\Delta H_{\text{c}}^\Theta = \sum {\Delta H_{\text{f}}^\Theta {\text{ }}(products)} - \sum {\Delta H_{\text{f}}^\Theta {\text{ }}(reactants)} \);</p>
<p>\(\sum {\Delta H_{\text{f}}^\Theta {\text{ (products)}}} = 3 \times ( - 394) + 3 \times ( - 286)/ - 2040{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p>\({\text{(}}\Delta H_{\text{f}}^\Theta = [3 \times ( - 394) + 3 \times ( - 286)] - ( - 1527) = ) - 513{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<p><em>Ignore state symbols.</em></p>
<p><em>Award </em><strong><em>[4] </em></strong><em>for correct final answer</em>.</p>
<div class="question_part_label">f.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">negative;</p>
<p class="p1">reduction in the number of <span style="text-decoration: underline;">gaseous</span> molecules;</p>
<div class="question_part_label">f.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><em>Allotropes:</em></p>
<p class="p1"><em>Any </em><strong><em>three </em></strong><em>allotropes for </em><strong><em>[1] </em></strong><em>from:</em></p>
<p class="p1">diamond</p>
<p class="p1">graphite</p>
<p class="p1">fullerene</p>
<p class="p1">graphene;</p>
<p class="p1"><em>Allow (carbon) nanotubes for graphene.</em></p>
<p class="p1"><em>Accept </em>\({C_{{\text{60}}}}\)<em>/</em>\({C_{{\text{70}}}}\)<em>/buckminsterfullerene/bucky balls for fullerene.</em></p>
<p class="p1"><em>Structures:</em></p>
<p class="p1"><em>Any three for </em><strong><em>[3] </em></strong><em>from:</em></p>
<p class="p1"><em>Diamond:</em></p>
<p class="p1">tetrahedral arrangement of (carbon) atoms/each carbon bonded to four others / \({\text{s}}{{\text{p}}^{\text{3}}}\) <strong>and </strong>3D/covalent network structure;</p>
<p class="p1"><em>Graphite:</em></p>
<p class="p1">each carbon bonded to three others (in a trigonal planar arrangement) / \({\text{s}}{{\text{p}}^{\text{2}}}\) <strong>and</strong> 2D / layers of (carbon) atoms;</p>
<p class="p1"><em>Fullerene:</em></p>
<p class="p1">each (carbon) atom bonded to three others (in a trigonal arrangement) / \({\text{s}}{{\text{p}}^{\text{2}}}\) <strong>and</strong> joined in a ball/cage/sphere/connected hexagons and pentagons;</p>
<p class="p1"><em>Accept “trigonal planar” for “each carbon atom bonded to three others” part in M4.</em></p>
<p class="p1"><em>Graphene:</em></p>
<p class="p1">each carbon bonded to three others (in a trigonal arrangement) / \({\text{s}}{{\text{p}}^{\text{2}}}\) <strong>and</strong> 2D structure;</p>
<div class="question_part_label">g.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">There was poor understanding of the transformation in (a). When defining the <em>average bond enthalpy </em>in (b), the notion of “gaseous” was frequently omitted and very few mentioned the bonds being in similar compounds. In the calculation, many omitted the C–C bond and many did not work from a properly balanced equation which led to disaster. Nearly every candidate attempting this question was able to suggest “heat loss”. In (d) the usual errors were made; the name was the wrong way round, water was missing from the equation and wrong products (such as pentanoic acid) were suggested. In (e) (i) the diagrams were poor but water was usually given correctly. Most gave condensation as the type of polymerization. The key to gaining marks in questions such as (f) (i) is to start with a balanced equation, [1 mark], and then set the calculation out correctly and tidily. Part marks cannot be given if the examiner cannot follow what the candidate is doing. Many correctly gave “negative” in (ii) but the explanations lacked clarity. Most gained a mark in (g) for knowing three allotropes but the description of structures was poorly done. The [4] (marks) for this part gives some idea of the amount of detail expected.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There was poor understanding of the transformation in (a). When defining the <em>average bond enthalpy </em>in (b), the notion of “gaseous” was frequently omitted and very few mentioned the bonds being in similar compounds. In the calculation, many omitted the C–C bond and many did not work from a properly balanced equation which led to disaster. Nearly every candidate attempting this question was able to suggest “heat loss”. In (d) the usual errors were made; the name was the wrong way round, water was missing from the equation and wrong products (such as pentanoic acid) were suggested. In (e) (i) the diagrams were poor but water was usually given correctly. Most gave condensation as the type of polymerization. The key to gaining marks in questions such as (f) (i) is to start with a balanced equation, [1 mark], and then set the calculation out correctly and tidily. Part marks cannot be given if the examiner cannot follow what the candidate is doing. Many correctly gave “negative” in (ii) but the explanations lacked clarity. Most gained a mark in (g) for knowing three allotropes but the description of structures was poorly done. The [4] (marks) for this part gives some idea of the amount of detail expected.</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There was poor understanding of the transformation in (a). When defining the <em>average bond enthalpy </em>in (b), the notion of “gaseous” was frequently omitted and very few mentioned the bonds being in similar compounds. In the calculation, many omitted the C–C bond and many did not work from a properly balanced equation which led to disaster. Nearly every candidate attempting this question was able to suggest “heat loss”. In (d) the usual errors were made; the name was the wrong way round, water was missing from the equation and wrong products (such as pentanoic acid) were suggested. In (e) (i) the diagrams were poor but water was usually given correctly. Most gave condensation as the type of polymerization. The key to gaining marks in questions such as (f) (i) is to start with a balanced equation, [1 mark], and then set the calculation out correctly and tidily. Part marks cannot be given if the examiner cannot follow what the candidate is doing. Many correctly gave “negative” in (ii) but the explanations lacked clarity. Most gained a mark in (g) for knowing three allotropes but the description of structures was poorly done. The [4] (marks) for this part gives some idea of the amount of detail expected.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There was poor understanding of the transformation in (a). When defining the <em>average bond enthalpy </em>in (b), the notion of “gaseous” was frequently omitted and very few mentioned the bonds being in similar compounds. In the calculation, many omitted the C–C bond and many did not work from a properly balanced equation which led to disaster. Nearly every candidate attempting this question was able to suggest “heat loss”. In (d) the usual errors were made; the name was the wrong way round, water was missing from the equation and wrong products (such as pentanoic acid) were suggested. In (e) (i) the diagrams were poor but water was usually given correctly. Most gave condensation as the type of polymerization. The key to gaining marks in questions such as (f) (i) is to start with a balanced equation, [1 mark], and then set the calculation out correctly and tidily. Part marks cannot be given if the examiner cannot follow what the candidate is doing. Many correctly gave “negative” in (ii) but the explanations lacked clarity. Most gained a mark in (g) for knowing three allotropes but the description of structures was poorly done. The [4] (marks) for this part gives some idea of the amount of detail expected.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There was poor understanding of the transformation in (a). When defining the <em>average bond enthalpy </em>in (b), the notion of “gaseous” was frequently omitted and very few mentioned the bonds being in similar compounds. In the calculation, many omitted the C–C bond and many did not work from a properly balanced equation which led to disaster. Nearly every candidate attempting this question was able to suggest “heat loss”. In (d) the usual errors were made; the name was the wrong way round, water was missing from the equation and wrong products (such as pentanoic acid) were suggested. In (e) (i) the diagrams were poor but water was usually given correctly. Most gave condensation as the type of polymerization. The key to gaining marks in questions such as (f) (i) is to start with a balanced equation, [1 mark], and then set the calculation out correctly and tidily. Part marks cannot be given if the examiner cannot follow what the candidate is doing. Many correctly gave “negative” in (ii) but the explanations lacked clarity. Most gained a mark in (g) for knowing three allotropes but the description of structures was poorly done. The [4] (marks) for this part gives some idea of the amount of detail expected.</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There was poor understanding of the transformation in (a). When defining the <em>average bond enthalpy </em>in (b), the notion of “gaseous” was frequently omitted and very few mentioned the bonds being in similar compounds. In the calculation, many omitted the C–C bond and many did not work from a properly balanced equation which led to disaster. Nearly every candidate attempting this question was able to suggest “heat loss”. In (d) the usual errors were made; the name was the wrong way round, water was missing from the equation and wrong products (such as pentanoic acid) were suggested. In (e) (i) the diagrams were poor but water was usually given correctly. Most gave condensation as the type of polymerization. The key to gaining marks in questions such as (f) (i) is to start with a balanced equation, [1 mark], and then set the calculation out correctly and tidily. Part marks cannot be given if the examiner cannot follow what the candidate is doing. Many correctly gave “negative” in (ii) but the explanations lacked clarity. Most gained a mark in (g) for knowing three allotropes but the description of structures was poorly done. The [4] (marks) for this part gives some idea of the amount of detail expected.</p>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There was poor understanding of the transformation in (a). When defining the <em>average bond enthalpy </em>in (b), the notion of “gaseous” was frequently omitted and very few mentioned the bonds being in similar compounds. In the calculation, many omitted the C–C bond and many did not work from a properly balanced equation which led to disaster. Nearly every candidate attempting this question was able to suggest “heat loss”. In (d) the usual errors were made; the name was the wrong way round, water was missing from the equation and wrong products (such as pentanoic acid) were suggested. In (e) (i) the diagrams were poor but water was usually given correctly. Most gave condensation as the type of polymerization. The key to gaining marks in questions such as (f) (i) is to start with a balanced equation, [1 mark], and then set the calculation out correctly and tidily. Part marks cannot be given if the examiner cannot follow what the candidate is doing. Many correctly gave “negative” in (ii) but the explanations lacked clarity. Most gained a mark in (g) for knowing three allotropes but the description of structures was poorly done. The [4] (marks) for this part gives some idea of the amount of detail expected.</p>
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There was poor understanding of the transformation in (a). When defining the <em>average bond enthalpy </em>in (b), the notion of “gaseous” was frequently omitted and very few mentioned the bonds being in similar compounds. In the calculation, many omitted the C–C bond and many did not work from a properly balanced equation which led to disaster. Nearly every candidate attempting this question was able to suggest “heat loss”. In (d) the usual errors were made; the name was the wrong way round, water was missing from the equation and wrong products (such as pentanoic acid) were suggested. In (e) (i) the diagrams were poor but water was usually given correctly. Most gave condensation as the type of polymerization. The key to gaining marks in questions such as (f) (i) is to start with a balanced equation, [1 mark], and then set the calculation out correctly and tidily. Part marks cannot be given if the examiner cannot follow what the candidate is doing. Many correctly gave “negative” in (ii) but the explanations lacked clarity. Most gained a mark in (g) for knowing three allotropes but the description of structures was poorly done. The [4] (marks) for this part gives some idea of the amount of detail expected.</p>
<div class="question_part_label">f.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There was poor understanding of the transformation in (a). When defining the <em>average bond enthalpy </em>in (b), the notion of “gaseous” was frequently omitted and very few mentioned the bonds being in similar compounds. In the calculation, many omitted the C–C bond and many did not work from a properly balanced equation which led to disaster. Nearly every candidate attempting this question was able to suggest “heat loss”. In (d) the usual errors were made; the name was the wrong way round, water was missing from the equation and wrong products (such as pentanoic acid) were suggested. In (e) (i) the diagrams were poor but water was usually given correctly. Most gave condensation as the type of polymerization. The key to gaining marks in questions such as (f) (i) is to start with a balanced equation, [1 mark], and then set the calculation out correctly and tidily. Part marks cannot be given if the examiner cannot follow what the candidate is doing. Many correctly gave “negative” in (ii) but the explanations lacked clarity. Most gained a mark in (g) for knowing three allotropes but the description of structures was poorly done. The [4] (marks) for this part gives some idea of the amount of detail expected.</p>
<div class="question_part_label">f.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">There was poor understanding of the transformation in (a). When defining the <em>average bond enthalpy </em>in (b), the notion of “gaseous” was frequently omitted and very few mentioned the bonds being in similar compounds. In the calculation, many omitted the C–C bond and many did not work from a properly balanced equation which led to disaster. Nearly every candidate attempting this question was able to suggest “heat loss”. In (d) the usual errors were made; the name was the wrong way round, water was missing from the equation and wrong products (such as pentanoic acid) were suggested. In (e) (i) the diagrams were poor but water was usually given correctly. Most gave condensation as the type of polymerization. The key to gaining marks in questions such as (f) (i) is to start with a balanced equation, [1 mark], and then set the calculation out correctly and tidily. Part marks cannot be given if the examiner cannot follow what the candidate is doing. Many correctly gave “negative” in (ii) but the explanations lacked clarity. Most gained a mark in (g) for knowing three allotropes but the description of structures was poorly done. The [4] (marks) for this part gives some idea of the amount of detail expected.</p>
<div class="question_part_label">g.</div>
</div>
<br><hr><br><div class="specification">
<p>This question is about ethene, C<sub>2</sub>H<sub>4</sub>, and ethyne, C<sub>2</sub>H<sub>2</sub>.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Ethyne, like ethene, undergoes hydrogenation to form ethane. State the conditions required.</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>Outline the formation of polyethene from ethene by drawing three repeating units of the polymer.</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>Ethyne reacts with chlorine in a similar way to ethene. Formulate equations for the following reactions.</p>
<p><img 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"></p>
<p> </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>Under certain conditions, ethyne can be converted to benzene.</p>
<p>Determine the standard enthalpy change, Δ<em>H</em><sup>Θ</sup><em>, </em>for the reaction stated, using section 11 of the data booklet.</p>
<p style="text-align: center;">3C<sub>2</sub>H<sub>2</sub>(g) → C<sub>6</sub>H<sub>6</sub>(g)</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>Determine the standard enthalpy change, Δ<em>H</em><sup>Θ</sup><em>, </em>for the following similar reaction, using Δ<em>H</em><sub>f</sub> values in section 12 of the data booklet.</p>
<p style="text-align: center;">3C<sub>2</sub>H<sub>2</sub>(g) → C<sub>6</sub>H<sub>6</sub>(l)</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain, giving two reasons, the difference in the values for (c)(i) and (ii). If you did not obtain answers, use −475 kJ for (i) and −600 kJ for (ii).</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the standard entropy change, Δ<em>S</em><sup>Θ</sup>, in J K<sup>−1</sup>, for the reaction in (ii) using section 12 of the data booklet.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine, showing your working, the spontaneity of the reaction in (ii) at 25 °C.</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.v.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>One possible Lewis structure for benzene is shown.</p>
<p><img style="margin-right:auto;margin-left:auto;display: block;" src="images/Schermafbeelding_2018-08-07_om_14.31.21.png" alt="M18/4/CHEMI/HP2/ENG/TZ1/03.d"></p>
<p>State one piece of physical evidence that this structure is <strong>incorrect</strong>.</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>nickel/Ni <strong>«</strong>catalyst<strong>»</strong></p>
<p> </p>
<p>high pressure</p>
<p><strong><em>OR</em></strong></p>
<p>heat</p>
<p> </p>
<p><em>Accept these other catalysts: Pt, Pd, Ir, </em><em>Rh, Co, Ti.</em></p>
<p><em>Accept “high temperature” or a stated </em><em>temperature such as “150 </em><em>°</em><em>C”.</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><img src="images/Schermafbeelding_2018-08-07_om_13.51.15.png" alt="M18/4/CHEMI/HP2/ENG/TZ1/03.a.ii/M"></p>
<p> </p>
<p><em>Ignore square brackets and “n”.</em></p>
<p><em>Connecting line at end of carbons must </em><em>be shown.</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><em>ethyne:</em> C<sub>2</sub>H<sub>2</sub> + Cl<sub>2</sub> → CHClCHCl</p>
<p><em>benzene:</em> C<sub>6</sub>H<sub>6</sub> + Cl<sub>2</sub> → C<sub>6</sub>H<sub>5</sub>Cl + HCl</p>
<p> </p>
<p><em>Accept “C</em><sub><em>2</em></sub><em>H</em><sub><em>2</em></sub><em>Cl</em><sub><em>2</em></sub><em>”.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Δ<em>H</em><sup>Θ</sup> = bonds broken – bonds formed</p>
<p><strong>«</strong>Δ<em>H</em><sup>Θ</sup> = 3(C≡C) – 6(C<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAANCAYAAACgu+4kAAAAUklEQVQ4EWP8////fwYKABMFesFaB9qAfwwUuuAdA4uKgiJKMNx5cJ+BWDGGf28YGCmKhX83KPQCkwgDo7K8AlnpAORVBoZ/FHqBgYFCLwwKAwBbdR/JDJ9lrwAAAABJRU5ErkJggg==">C)<sub>benzene</sub> / 3 \( \times \) 839 – 6 \( \times \) 507 / 2517 – 3042 =<strong>»</strong> –525 <strong>«</strong>kJ<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 “+525 </em><strong><em>«</em></strong><em>kJ</em><strong><em>»</em></strong><em>”.</em></p>
<p><em>Award </em><strong><em>[1 max] </em></strong><em>for:</em></p>
<p><strong><em>«</em></strong><em>Δ</em><em>H<sup>Θ</sup></em><em> =</em><em> </em><em>3(C≡</em><em>C) –</em><em> </em><em>3(C</em><em>–</em><em>C) –</em><em> </em><em>3(C</em><em>=</em><em>C) / </em><em>3 \( \times \)</em><em> </em><em>839 –</em><em> </em><em>3 \( \times \)</em><em> </em><em>346 –</em><em> </em><em>3 \( \times \)</em><em> </em><em>614 / 2517 </em><em>– </em><em>2880 </em><em>=</em><strong><em>» </em></strong><em>–</em><em>363 </em><strong><em>«</em></strong><em>kJ</em><strong><em>»</em></strong><em>.</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>Δ<em>H</em><sup>Θ</sup> = ΣΔ<em>H</em><sub>f</sub> (products) – ΣΔ<em>H</em><sub>f</sub> (reactants)</p>
<p><strong>«</strong>Δ<em>H</em><sup>Θ</sup> = 49 kJ – 3 \( \times \) 228 kJ =<strong>»</strong> –635 <strong>«</strong>kJ<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 “+635 </em><strong><em>«</em></strong><em>kJ</em><strong><em>»</em></strong><em>”.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Δ<em>H</em><sub>f</sub> values are specific to the compound</p>
<p><strong><em>OR</em></strong></p>
<p>bond enthalpy values are averages <strong>«</strong>from many different compounds<strong>»</strong></p>
<p> </p>
<p>condensation from gas to liquid is exothermic</p>
<p> </p>
<p><em>Accept “benzene is in two different </em><em>states </em><strong><em>«</em></strong><em>one liquid the other gas</em><strong><em>»</em></strong><em>” </em><em>for M2.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>«</strong>Δ<em>S</em><sup>Θ</sup> = 173 – 3 \( \times \) 201 =<strong>»</strong> –430<strong> «</strong>J K<sup>–1</sup><strong>»</strong></p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">c.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>T = <strong>«</strong>25 + 273 =<strong>» </strong>298 <strong>«</strong>K<strong>»</strong></p>
<p>Δ<em>G</em><sup>ϴ</sup> <strong>«</strong>= –635 kJ – 298 K × (–0.430 kJ K<sup>–1</sup>)<strong>» </strong>= –507 kJ</p>
<p>Δ<em>G</em><sup>ϴ</sup> < 0 <strong><em>AND </em></strong>spontaneous</p>
<p> </p>
<p><em>ΔG</em><sup><em>ϴ </em></sup><em>< 0 may be inferred from the </em><em>calculation.</em></p>
<p><strong><em>[3 marks]</em></strong></p>
<div class="question_part_label">c.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>equal C–C bond <strong>«</strong>lengths/strengths<strong>»</strong></p>
<p><strong><em>OR</em></strong></p>
<p>regular hexagon</p>
<p><strong><em>OR</em></strong></p>
<p><strong>«</strong>all<strong>» </strong>C–C have bond order of 1.5</p>
<p><strong><em>OR</em></strong></p>
<p><strong>«</strong>all<strong>» </strong>C–C intermediate between single and double bonds</p>
<p> </p>
<p><em>Accept “all C</em><em>–</em><em>C</em><em>–</em><em>C bond angles are </em><em>equal”.</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.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.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">c.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.v.</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 class="p1">Draw the Lewis structures, state the shape and predict the bond angles for the following species.</p>
</div>
<div class="specification">
<p class="p1">Consider the following Born-Haber cycle:</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-10-14_om_07.05.32.png" alt="M09/4/CHEMI/HP2/ENG/TZ1/06.b"></p>
<p class="p1">The magnitudes for each of the enthalpy changes (<strong>a </strong>to <strong>e</strong>) are given in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\) but their signs (+ or –) have been omitted.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>\({\text{PC}}{{\text{l}}_{\text{3}}}\)</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>\({\text{NH}}_2^ - \)</p>
<div class="marks">[3]</div>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>\({\text{Xe}}{{\text{F}}_{\text{4}}}\)</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 class="p1">State the names for the enthalpy changes <strong>c </strong>and <strong>d</strong>.</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 class="p1">Deduce which <strong>two </strong>of the enthalpy changes <strong>a </strong>to <strong>e </strong>have negative signs.</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 class="p1">Determine the value for the enthalpy of formation of potassium bromide.</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 class="p1">Explain why the quantitative value for the lattice enthalpy of calcium bromide is larger than the value for the lattice enthalpy of potassium bromide.</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 class="p1">Compare the formation of a sigma \((\sigma )\) and a pi \((\pi )\) bond between two carbon atoms in a molecule.</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 class="p1">Identify how many sigma and pi bonds are present in propene, \({{\text{C}}_{\text{3}}}{{\text{H}}_{\text{6}}}\).</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Deduce all the bond angles present in propene.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Explain how the concept of hybridization can be used to explain the bonding in the triple bond present in propyne.</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.iv.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1"><img src="images/Schermafbeelding_2016-10-14_om_09.12.53.png" alt="M09/4/CHEMI/HP2/ENG/TZ1/06.a.i/M"> ;</p>
<p class="p1">trigonal pyramid;</p>
<p class="p1">in the range of 100–108°;</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2016-10-14_om_09.19.10.png" alt="M09/4/CHEMI/HP2/ENG/TZ1/06.a.ii/M"> ;</p>
<p class="p1"><em>Must include minus sign for the mark. </em></p>
<p class="p1">bent/V–shaped;</p>
<p class="p1">in the range of 100–106°;</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><img src="images/Schermafbeelding_2016-10-14_om_09.22.20.png" alt="M09/4/CHEMI/HP2/ENG/TZ1/06.a.iii/M"> ;</p>
<p class="p1">square planar;</p>
<p class="p1">90°;</p>
<p class="p1"><em>Penalize once only if electron pairs are missed off outer atoms.</em></p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><strong>c</strong>: atomization (enthalpy);</p>
<p class="p3"><strong>d</strong>: electron affinity;</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><strong>d </strong>and <strong>e</strong>;</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(\Delta {H_{\text{f}}} = 90.0 + 418 + 112 + (-342) + ( - 670)\);</p>
<p class="p1">\( =<span class="Apple-converted-space"> </span>- 392{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\);</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\({\text{C}}{{\text{a}}^{2 + }}\) is smaller than \({{\text{K}}^ + }\) <strong>and</strong> \({\text{C}}{{\text{a}}^{2 + }}\) has more charge than \({{\text{K}}^ + }\) / \({\text{C}}{{\text{a}}^{2 + }}\) has a greater charge density;</p>
<p class="p1">so the attractive forces between the ions are stronger;</p>
<p class="p1"><em>Do not accept ‘stronger ionic bonds’ </em></p>
<p class="p1"><em>Award </em><strong><em>[1 max] </em></strong><em>if reference is made to atoms or molecules instead of ions.</em></p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">sigma bonds are formed by end on/axial overlap of orbitals with electron density between the two atoms/nuclei;</p>
<p class="p1">pi bonds are formed by sideways overlap of parallel p orbitals with electron density above <strong>and </strong>below internuclear axis/\(\sigma \) bond;</p>
<p class="p1"><em>Accept suitably annotated diagrams</em></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">8 sigma/\(\sigma \) ;</p>
<p class="p1">1 pi/\(\pi \) ;</p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">109°/109.5°;</p>
<p class="p1">120°;</p>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">sp hybridization;</p>
<p class="p1">1 sigma and 2 pi;</p>
<p class="p2">sigma bond formed by overlap between the two sp hybrid orbitals (on each of the two carbon atoms) / pi bonds formed by overlap between remaining p orbitals (on each of the two carbon atoms) / diagram showing 2 sp hybrid orbitals and 2 p orbitals;</p>
<div class="question_part_label">c.iv.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">This question was the most popular of the Section B questions. Part (a) was generally well answered with many candidates drawing clear Lewis structures and applying their knowledge of VSEPR theory well. Common errors included the omission of lone electron pairs on outer atoms, and the omission of a bracket and charge on the ion. Incorrect angular values were common. Some candidates described shapes and bond angles in terms of the ‘parent shape’. Good candidates explained the answers well and scored full marks. Weaker candidates simply wrote two answers; for example, ‘tetrahedral bent’ and could not be awarded marks.</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This question was the most popular of the Section B questions. Part (a) was generally well answered with many candidates drawing clear Lewis structures and applying their knowledge of VSEPR theory well. Common errors included the omission of lone electron pairs on outer atoms, and the omission of a bracket and charge on the ion. Incorrect angular values were common. Some candidates described shapes and bond angles in terms of the ‘parent shape’. Good candidates explained the answers well and scored full marks. Weaker candidates simply wrote two answers; for example, ‘tetrahedral bent’ and could not be awarded marks.</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This question was the most popular of the Section B questions. Part (a) was generally well answered with many candidates drawing clear Lewis structures and applying their knowledge of VSEPR theory well. Common errors included the omission of lone electron pairs on outer atoms, and the omission of a bracket and charge on the ion. Incorrect angular values were common. Some candidates described shapes and bond angles in terms of the ‘parent shape’. Good candidates explained the answers well and scored full marks. Weaker candidates simply wrote two answers; for example, ‘tetrahedral bent’ and could not be awarded marks.</p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">In part (b) many candidates incorrectly identified the process converting liquid bromine molecules to gaseous bromine atoms as vaporization.</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Deducing the enthalpy changes with negative signs proved challenging for many although, with follow through marks credit was earned for the calculation of the enthalpy of formation of potassium bromide.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Some teachers commented on the G2 forms that the energy cycle diagram was strange, however, the stages of the Born-Haber cycle were clearly given and candidates should be familiar with those.</p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Very few candidates could explain why calcium bromide has a larger lattice enthalpy than potassium bromide. Many referred to atoms instead of ions, and tried to answer this in terms of the electronegativity of the metals.</p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Part (c) was answered well by some candidates who produced clear and well annotated diagrams as part of their answers. Many candidates however omitted mention of orbitals when trying to describe the formation of sigma and pi bonds or to explain hybridization. There were many diagrams which had no annotations and were difficult to interpret.</p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Part (c) was answered well by some candidates who produced clear and well annotated diagrams as part of their answers. Many candidates however omitted mention of orbitals when trying to describe the formation of sigma and pi bonds or to explain hybridization. There were many diagrams which had no annotations and were difficult to interpret.</p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Part (c) was answered well by some candidates who produced clear and well annotated diagrams as part of their answers. Many candidates however omitted mention of orbitals when trying to describe the formation of sigma and pi bonds or to explain hybridization. There were many diagrams which had no annotations and were difficult to interpret.</p>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Part (c) was answered well by some candidates who produced clear and well annotated diagrams as part of their answers. Many candidates however omitted mention of orbitals when trying to describe the formation of sigma and pi bonds or to explain hybridization. There were many diagrams which had no annotations and were difficult to interpret.</p>
<div class="question_part_label">c.iv.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">Carbon monoxide reacts with hydrogen to produce methanol.</p>
<p class="p1">\[{\text{CO(g)}} + {\text{2}}{{\text{H}}_{\text{2}}}{\text{(g)}} \to {\text{C}}{{\text{H}}_{\text{3}}}{\text{OH(l)}}\]</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-08-07_om_06.11.14.png" alt="M15/4/CHEMI/HP2/ENG/TZ2/03"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Calculate the standard enthalpy change, \(\Delta {H^\Theta }\), in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - {\text{1}}}}\), for the reaction.</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 class="p1">Calculate the standard free energy change, \(\Delta {G^\Theta }\), in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - {\text{1}}}}\), for the reaction</p>
<p class="p1">\({\text{(}}\Delta G_{\text{f}}^\Theta {\text{(}}{{\text{H}}_{\text{2}}}{\text{)}} = {\text{0 kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\).</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 class="p1">Using the values obtained in parts (a) and (b), calculate the standard entropy change, \(\Delta {S^\Theta }\), in \({\text{J mo}}{{\text{l}}^{ - 1}}{{\text{K}}^{ - 1}}\), for the reaction at 298 K.</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 class="p1">Determine the absolute entropy,<span class="Apple-converted-space"> </span>\({S^\Theta }\), in \({\text{J}}\,{\text{mo}}{{\text{l}}^{ - 1}}{{\text{K}}^{ - 1}}\), for \({{\text{H}}_{\text{2}}}{\text{(g)}}\) at 298 K.</p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(( - 239.0 - [ - 110.5] = ) - 128.5{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">\(( - 166.0 - [ - 137.2] = ) - 28.8{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}\);</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\left( {\Delta {G^\Theta } = - 28.8 = - 128.5 - \left[ {\frac{{298 \times \Delta {S^\Theta }}}{{1000}}} \right]} \right)\)</p>
<p>\((\Delta {S^\Theta } = ) - 335{\text{ (J}}\,{\text{mo}}{{\text{l}}^{ - 1}}{{\text{K}}^{ - 1}})\);</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta {S^\Theta } = \sum {S_{products}^\Theta - \sum {S_{reactants}^\Theta } } / - 335 = 126.8 - 197.6 - 2S_{{{\text{H}}_2}}^\Theta \);</p>
<p>\(S_{{{\text{H}}_2}}^\Theta = ( + )132{\text{ (J}}\,{\text{mo}}{{\text{l}}^{ - 1}}{{\text{K}}^{ - 1}})\);</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 </em>\(S_{{{\text{H}}_2}}^\Theta = ( + )264{\text{ (J}}\,{\text{mo}}{{\text{l}}^{ - 1}}{{\text{K}}^{ - 1}})\)<em>.</em></p>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates were able to calculate the enthalpy, free energy and entropy changes, although a significant number gave the incorrect units for the latter. The use of the Gibbs free energy equation requires consistency of units since \(\Delta H{^\circ _{\text{f}}}\) and \(\Delta G{^\circ _{\text{f}}}\) were given in kJ whereas \(S^\circ \) was given in J. This needs reinforcing in class as it tends to be a common error from session to session. The calculation of the absolute entropy of hydrogen proved to be more problematic, with many not taking into account that there are two moles of hydrogen in the reaction.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates were able to calculate the enthalpy, free energy and entropy changes, although a significant number gave the incorrect units for the latter. The use of the Gibbs free energy equation requires consistency of units since \(\Delta H{^\circ _{\text{f}}}\) and \(\Delta G{^\circ _{\text{f}}}\) were given in kJ whereas \(S^\circ \) was given in J. This needs reinforcing in class as it tends to be a common error from session to session. The calculation of the absolute entropy of hydrogen proved to be more problematic, with many not taking into account that there are two moles of hydrogen in the reaction.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates were able to calculate the enthalpy, free energy and entropy changes, although a significant number gave the incorrect units for the latter. The use of the Gibbs free energy equation requires consistency of units since \(\Delta H{^\circ _{\text{f}}}\) and \(\Delta G{^\circ _{\text{f}}}\) were given in kJ whereas \(S^\circ \) was given in J. This needs reinforcing in class as it tends to be a common error from session to session. The calculation of the absolute entropy of hydrogen proved to be more problematic, with many not taking into account that there are two moles of hydrogen in the reaction.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Most candidates were able to calculate the enthalpy, free energy and entropy changes, although a significant number gave the incorrect units for the latter. The use of the Gibbs free energy equation requires consistency of units since \(\Delta H{^\circ _{\text{f}}}\) and \(\Delta G{^\circ _{\text{f}}}\) were given in kJ whereas \(S^\circ \) was given in J. This needs reinforcing in class as it tends to be a common error from session to session. The calculation of the absolute entropy of hydrogen proved to be more problematic, with many not taking into account that there are two moles of hydrogen in the reaction.</p>
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p>Trends in physical and chemical properties are useful to chemists.</p>
</div>
<div class="specification">
<p>Cobalt forms the transition metal complex [Co(NH<sub>3</sub>)<sub>4</sub> (H<sub>2</sub>O)Cl]Br.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain why the melting points of the group 1 metals (Li → Cs) decrease down the group whereas the melting points of the group 17 elements (F → I) increase down the group.</p>
<p><img src="data:image/png;base64,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"></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>State the shape of the complex ion.</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>Deduce the charge on the complex ion and the oxidation state of cobalt.</p>
<p><img 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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Describe, in terms of acid-base theories, the type of reaction that takes place between the cobalt ion and water to form the complex ion.</p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><em>Any three of:</em></p>
<p><em>Group 1:</em><br>atomic/ionic radius increases</p>
<p>smaller charge density</p>
<p><em><strong>OR</strong></em></p>
<p>force of attraction between metal ions and delocalised electrons decreases</p>
<p><em>Do not accept discussion of attraction between valence electrons and nucleus for M2.</em></p>
<p><em>Accept “weaker metallic bonds” for M2.</em></p>
<p><em>Group 17:</em><br>number of electrons/surface area/molar mass increase</p>
<p>London/dispersion/van der Waals’/vdw forces increase</p>
<p><em>Accept “atomic mass” for “molar mass”.</em></p>
<p><strong><em>[Max 3 Marks]</em></strong></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«distorted» octahedral</p>
<p><em>Accept “square bipyramid”.</em></p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Charge on complex ion:</em> 1+/+<br><em>Oxidation state of cobalt:</em> +2</p>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Lewis «acid-base reaction»</p>
<p>H2O: electron/e<sup>–</sup> pair donor</p>
<p><em><strong>OR</strong></em></p>
<p>Co<sup>2+</sup>: electron/e<sup>–</sup> pair acceptor</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">b.</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">e.</div>
</div>
<br><hr><br><div class="specification">
<p>In December 2010, researchers in Sweden announced the synthesis of N,N–dinitronitramide, \({\text{N(N}}{{\text{O}}_{\text{2}}}{{\text{)}}_{\text{3}}}\). They speculated that this compound, more commonly called trinitramide, may have significant potential as an environmentally friendly rocket fuel oxidant.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Methanol reacts with trinitramide to form nitrogen, carbon dioxide and water. Deduce the coefficients required to balance the equation for this reaction.</p>
<p style="text-align: center;">___ \({\text{N(N}}{{\text{O}}_2}{{\text{)}}_3}{\text{(g)}} + \) ___ \({\text{C}}{{\text{H}}_3}{\text{OH(l)}} \to \) ___ \({{\text{N}}_2}{\text{(g)}} + \) ___ \({\text{C}}{{\text{O}}_2}{\text{(g)}} + \) ___ \({{\text{H}}_2}{\text{O(l)}}\)</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>Calculate the enthalpy change, in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), when one mole of trinitramide decomposes to its elements, using bond enthalpy data from Table 10 of the Data Booklet. Assume that all the N–O bonds in this molecule have a bond enthalpy of \({\text{305 kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\).</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>The entropy change, \(\Delta S\), for the decomposition of trinitramide has been estimated as \( + 700{\text{ J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}\). Comment on the sign of \(\Delta S\).</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>Using \( + 700{\text{ J}}\,{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}}\) as the value for the entropy change, along with your answer to part (c), calculate \(\Delta G\), in \({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), for this reaction at 300 K. (If you did not obtain an answer for part (c), then use the value \( - 1000{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\), but this is not the correct value.)</p>
<div class="marks">[3]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain how changing the temperature will affect whether or not the decomposition of trinitramide is spontaneous.</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>Outline how the length of the N–N bond in trinitramide compares with the N–N bond in nitrogen gas, \({{\text{N}}_{\text{2}}}\).</p>
<div class="marks">[2]</div>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the N–N–N bond angle in trinitramide and explain your reasoning.</p>
<div class="marks">[3]</div>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Predict, with an explanation, the polarity of the trinitramide molecule.</p>
<div class="marks">[2]</div>
<div class="question_part_label">i.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>\(\underline {{\text{ (1) }}} {\text{N(N}}{{\text{O}}_2}{{\text{)}}_3}{\text{(g)}} + \underline {{\text{ 2 }}} {\text{C}}{{\text{H}}_3}{\text{OH(l)}} \to \underline {{\text{ 2 }}} {{\text{N}}_2}{\text{(g)}} + \underline {{\text{ 2 }}} {\text{C}}{{\text{O}}_2}{\text{(g)}} + \underline {{\text{ 4 }}} {{\text{H}}_2}{\text{O(l)}}\);</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>bonds broken: </em>\((6 \times 305) + (3 \times 158) = 1830 + 474 = 2304{\text{ (kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}})\);</p>
<p><em>bonds made:</em> \((2 \times 945) + (3 \times 498) = 1890 + 1494 = 3384{\text{ }}({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}})\);</p>
<p><em>enthalpy change:</em> \(2304 - 3384 = - 1080{\text{ }}({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}})\);</p>
<p><em>Award </em><strong><em>[3] </em></strong><em>for correct final answer.</em></p>
<p><em>Award </em><strong><em>[2 max] </em></strong><em>for +1080 (kJ mol<sup>–1</sup>)</em>.</p>
<p><em>Accept –234 kJ mol<sup>–1</sup></em> <em>which arise from students assuming that 305 kJ mol<sup>–1</sup></em> <em>refers to the strength of a single N–O bond. Students may then take N=O from the data book value (587 kJ mol<sup>–1</sup>).</em></p>
<p><em>bonds broken: (3 </em>\( \times \)<em> 305) </em>+ <em>(3 </em>\( \times \)<em> 587) </em>+ <em>(3 </em>\( \times \)<em> 158) = </em><em>915</em> + <em>1761 + 474</em> = <em>3150 (kJ mol<sup>–1</sup>)</em></p>
<p><em>bonds made: (2 </em>\( \times \)<em> 945) </em>+ <em>(3 </em>\( \times \)<em> 498) </em>= <em>1890</em> + <em>1494</em> = <em>3384(kJ mol<sup>–1</sup>)</em></p>
<p><em>enthalpy change: 3150</em> – <em>3384 = –234(kJ mol<sup>–1</sup>).</em></p>
<p><em>Award </em><strong><em>[2 max] </em></strong><em>for correct calculation of the enthalpy change of reaction for the equation in part (a), which gives –2160 (kJ mol<sup>–1</sup>).</em></p>
<p><em>Award </em><strong><em>[1] </em></strong><em>if the final answer is not –2160 but the candidate has correctly calculated the bonds broken in trinitramide as 2304 (kJ mol<sup>–1</sup>).</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>increase in the number of moles of gas;</p>
<p>gases have a greater entropy/degree of randomness (than liquids or solids);</p>
<p><em>Award <strong>[1 max]</strong> for answers stating that positive value indicates an increase in disorder/randomness.</em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>\(\Delta G = \Delta H - T \times \Delta S\);</p>
<p>\( = - 1080 - 300 \times \frac{{700}}{{1000}}\);</p>
<p>\( - 1290{\text{ }}({\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}})\);</p>
<p><em>Award </em><strong><em>[3] </em></strong><em>for correct final answer.</em></p>
<p><em>Award </em><strong><em>[2 max] </em></strong><em>for incorrect conversions of units.</em></p>
<p><em>If no answer to part (c), using </em>\(\Delta H\)<em> = –1000 kJ mol<sup>–1</sup>, gives –1020 (kJ mol<sup>–1</sup>).</em></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>no change in spontaneity / temp has no effect on spontaneity / spontaneous at all temperatures;</p>
<p>\(\Delta G\) negative at all temperatures / exothermic/\(\Delta H\) negative <strong>and</strong> involves an increase in entropy/\(\Delta S\) positive;</p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(N–N bond in) trinitramide is longer/nitrogen (gas) is shorter / 0.145 nm in trinitramide versus 0.110 nm in nitrogen;</p>
<p>trinitramide has single (N–N) bond <strong>and </strong>nitrogen (gas) has triple bond;</p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>106° – 108°;</p>
<p><em>Accept < 109°.</em></p>
<p><em>Any two for <strong>[2 max]</strong>.</em></p>
<p>4 (negative) charge centres/electron pairs/electron domains around central nitrogen;</p>
<p><span style="text-decoration: underline;">central</span> nitrogen has a lone/non-bonding pair;</p>
<p>lone/non-bonding pairs repel more than bonding pairs;</p>
<p>molecule will be (trigonal/triangular) pyramidal;</p>
<p>(negative) charge centres/electron pairs/electron domains will be tetrahedrally arranged/orientated/ have tetrahedral geometry;</p>
<p><em>Do not apply ECF.</em></p>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>polar;</p>
<p>net dipole moment present in molecule / unsymmetrical distribution of charge / polar bonds do not cancel out / centre of negatively charged oxygen atoms does not coincide with positively charged nitrogen atom;</p>
<p><em>Marks may also be awarded for a suitably presented diagram showing net dipole moment.</em></p>
<p><em>Do not accept “unsymmetrical molecule”.</em></p>
<p><em>Apply ECF from part (h).</em></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 students could insert the coefficients to balance the equation provided and many recognized the benign nature of the products formed. Though the structure of trinitramide was not given this did not seem to hinder students in calculating the required enthalpy change. A worryingly high number of students however used bond enthalpies to calculate the enthalpy change in the part (a) equation rather than the much simpler decomposition asked for, so to allow them to gain some credit, the mark scheme was adjusted. The sections relating to entropy and free energy changes were generally well tackled, as was the comparative lengths of the N-N bonds. Predicting the shape and polarity of the trinitramide molecule often proved more difficult, especially explaining the polarity of the molecule. Explanations of the effect of external pressure on boiling point, in terms of vapour pressure, and of the effect of temperature, in terms of kinetic theory, often lacked clarity.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most students could insert the coefficients to balance the equation provided and many recognized the benign nature of the products formed. Though the structure of trinitramide was not given this did not seem to hinder students in calculating the required enthalpy change. A worryingly high number of students however used bond enthalpies to calculate the enthalpy change in the part (a) equation rather than the much simpler decomposition asked for, so to allow them to gain some credit, the mark scheme was adjusted. The sections relating to entropy and free energy changes were generally well tackled, as was the comparative lengths of the N-N bonds. Predicting the shape and polarity of the trinitramide molecule often proved more difficult, especially explaining the polarity of the molecule. Explanations of the effect of external pressure on boiling point, in terms of vapour pressure, and of the effect of temperature, in terms of kinetic theory, often lacked clarity.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most students could insert the coefficients to balance the equation provided and many recognized the benign nature of the products formed. Though the structure of trinitramide was not given this did not seem to hinder students in calculating the required enthalpy change. A worryingly high number of students however used bond enthalpies to calculate the enthalpy change in the part (a) equation rather than the much simpler decomposition asked for, so to allow them to gain some credit, the mark scheme was adjusted. The sections relating to entropy and free energy changes were generally well tackled, as was the comparative lengths of the N-N bonds. Predicting the shape and polarity of the trinitramide molecule often proved more difficult, especially explaining the polarity of the molecule. Explanations of the effect of external pressure on boiling point, in terms of vapour pressure, and of the effect of temperature, in terms of kinetic theory, often lacked clarity.</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most students could insert the coefficients to balance the equation provided and many recognized the benign nature of the products formed. Though the structure of trinitramide was not given this did not seem to hinder students in calculating the required enthalpy change. A worryingly high number of students however used bond enthalpies to calculate the enthalpy change in the part (a) equation rather than the much simpler decomposition asked for, so to allow them to gain some credit, the mark scheme was adjusted. The sections relating to entropy and free energy changes were generally well tackled, as was the comparative lengths of the N-N bonds. Predicting the shape and polarity of the trinitramide molecule often proved more difficult, especially explaining the polarity of the molecule. Explanations of the effect of external pressure on boiling point, in terms of vapour pressure, and of the effect of temperature, in terms of kinetic theory, often lacked clarity.</p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most students could insert the coefficients to balance the equation provided and many recognized the benign nature of the products formed. Though the structure of trinitramide was not given this did not seem to hinder students in calculating the required enthalpy change. A worryingly high number of students however used bond enthalpies to calculate the enthalpy change in the part (a) equation rather than the much simpler decomposition asked for, so to allow them to gain some credit, the mark scheme was adjusted. The sections relating to entropy and free energy changes were generally well tackled, as was the comparative lengths of the N-N bonds. Predicting the shape and polarity of the trinitramide molecule often proved more difficult, especially explaining the polarity of the molecule. Explanations of the effect of external pressure on boiling point, in terms of vapour pressure, and of the effect of temperature, in terms of kinetic theory, often lacked clarity.</p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most students could insert the coefficients to balance the equation provided and many recognized the benign nature of the products formed. Though the structure of trinitramide was not given this did not seem to hinder students in calculating the required enthalpy change. A worryingly high number of students however used bond enthalpies to calculate the enthalpy change in the part (a) equation rather than the much simpler decomposition asked for, so to allow them to gain some credit, the mark scheme was adjusted. The sections relating to entropy and free energy changes were generally well tackled, as was the comparative lengths of the N-N bonds. Predicting the shape and polarity of the trinitramide molecule often proved more difficult, especially explaining the polarity of the molecule. Explanations of the effect of external pressure on boiling point, in terms of vapour pressure, and of the effect of temperature, in terms of kinetic theory, often lacked clarity.</p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most students could insert the coefficients to balance the equation provided and many recognized the benign nature of the products formed. Though the structure of trinitramide was not given this did not seem to hinder students in calculating the required enthalpy change. A worryingly high number of students however used bond enthalpies to calculate the enthalpy change in the part (a) equation rather than the much simpler decomposition asked for, so to allow them to gain some credit, the mark scheme was adjusted. The sections relating to entropy and free energy changes were generally well tackled, as was the comparative lengths of the N-N bonds. Predicting the shape and polarity of the trinitramide molecule often proved more difficult, especially explaining the polarity of the molecule. Explanations of the effect of external pressure on boiling point, in terms of vapour pressure, and of the effect of temperature, in terms of kinetic theory, often lacked clarity.</p>
<div class="question_part_label">h.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most students could insert the coefficients to balance the equation provided and many recognized the benign nature of the products formed. Though the structure of trinitramide was not given this did not seem to hinder students in calculating the required enthalpy change. A worryingly high number of students however used bond enthalpies to calculate the enthalpy change in the part (a) equation rather than the much simpler decomposition asked for, so to allow them to gain some credit, the mark scheme was adjusted. The sections relating to entropy and free energy changes were generally well tackled, as was the comparative lengths of the N-N bonds. Predicting the shape and polarity of the trinitramide molecule often proved more difficult, especially explaining the polarity of the molecule. Explanations of the effect of external pressure on boiling point, in terms of vapour pressure, and of the effect of temperature, in terms of kinetic theory, often lacked clarity.</p>
<div class="question_part_label">i.</div>
</div>
<br><hr><br><div class="specification">
<p>Ethane-1,2-diol, HOCH<sub>2</sub>CH<sub>2</sub>OH, reacts with thionyl chloride, SOCl<sub>2</sub>, according to the reaction below.</p>
<p style="text-align: center;">HOCH<sub>2</sub>CH<sub>2</sub>OH (l) + 2SOCl<sub>2</sub> (l) → ClCH<sub>2</sub>CH<sub>2</sub>Cl (l) + 2SO<sub>2</sub> (g) + 2HCl (g)</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the standard enthalpy change for this reaction using the following data.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the standard entropy change for this reaction using the following data.</p>
<p><img src="data:image/png;base64,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"></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>The standard free energy change, Δ<em>G</em><sup>θ</sup>, for the above reaction is –103 kJ mol<sup>–1</sup> at 298 K.</p>
<p>Suggest why Δ<em>G</em><sup>θ</sup> has a large negative value considering the sign of Δ<em>H</em><sup>θ</sup> in part (a).</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>Δ<em>H</em><sup>θ</sup> = [–165.2 + 2(–296.9) + 2(–92.3)] – [–454.7 + 2(–245.7)]</p>
<p>«Δ<em>H</em><sup>θ </sup>= +»2.5 «kJ»</p>
<p> </p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<p><em>Award <strong>[1]</strong> for –2.5 «kJ».</em></p>
<p><em>Do <strong>not</strong> accept ECF for M2 if more than one error in M1.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«Δ<em>S</em><sup>θ </sup>= [208.5 + 2(248.1) + 2(186.8)] – [166.9 + 2(278.6)]»</p>
<p>«Δ<em>S</em><sup>θ </sup>= +» 354.2 «J K<sup>–1</sup> mol<sup>–1</sup>»</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«3 moles of» liquid to «4 moles of» gas</p>
<p><em><strong>OR</strong></em></p>
<p>«large» positive Δ<em>S</em></p>
<p><em><strong>OR</strong></em></p>
<p>«large» increase in entropy</p>
<p><em>T</em>Δ<em>S</em> > Δ<em>H</em> «at the reaction temperature»</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.</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>Soluble acids and bases ionize in water.</p>
</div>
<div class="specification">
<p>A solution containing 0.510 g of an unknown monoprotic acid, HA, was titrated with 0.100 mol dm<sup>–3</sup> NaOH(aq). 25.0 cm<sup>3</sup> was required to reach the equivalence point.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The following curve was obtained using a pH probe.</p>
<p style="text-align: left;"><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAaUAAAGeCAYAAAA0bx7AAAAgAElEQVR4Ae3dD5RU1Z3g8V+Bmw0GiN2DIzSonMYFccQ/dMNshBMRG9qcxOi26Z5N/IOD2r07go4u0IiZ5CQC6RZWjkJMQGFBMu7aDH1gnDk00PSBEZKI3YYoUboXeggi4EpAETVmhq49v9d9i1dFVder6qr3p+r7zimoeu++e+/73Ff163vffVWhcDgcFhYEEEAAAQR8INDPB3WgCggggAACCFgCBCVOBAQQQAAB3wgQlHzTFFQEAQQQQICgxDmAAAIIIOAbAYKSb5qCiiCAAAII5G1Q2rNnjzz88MOcAQgggAACPhK4yEd1ca0qGpAmT55slTd27FiZNWuWa2VTEAIIIIBAYoG86ymZgLRo0SJLZfbs2fLSSy8lFmILAggggIBrAnkVlDo6Oqwe0oMPPiiPPfaYhbx8+XKZMWOGaLBiQQABBBDwViCUL9/ocPToUamoqJDrr79ennvuORkwYICEQiHRL7RYsWKFaI9p9+7dMmnSJG9bhNIRQACBPBbIm2tKLS0tUQHJ3uZ6TenIkSOya9cugpIdhucIIICAywJ501OK52p6SvG2sQ4BBBBAwH2BvLqm5D4vJSKAAAIIpCJAUEpFi7QIIIAAAlkVIChllZfMEUAAAQRSESAopaJFWgQQQACBrAoQlLLKS+YIIIAAAqkIEJRS0SItAggggEBWBQhKWeUlcwQQQACBVAQISqlokRYBBBBAIKsCBKWs8pI5AggggEAqAgSlVLRIiwACCCCQVQGCUlZ5yRwBBBBAIBUBglIqWqRFAAEEEMiqAEEpq7xkjgACCCCQigBBKRUt0iKAAAIIZFWAoJRVXjJHAAEEEEhFgKCUihZpEUAAAQSyKkBQyiovmSOAAAIIpCJAUEpFi7QIIIAAAlkVIChllZfMEUAAAQRSESAopaJFWgQQQACBrAoQlLLKS+YIIIAAAqkIEJRS0SItAggggEBWBQhKWeUlcwQQQACBVAQISqlokRYBBBBAIKsCBKWs8pI5AggggEAqAgSlVLRIiwACCCCQVQGCUlZ5yRwBBBBAIBUBglIqWqRFAAEEEMiqAEEpq7xkjgACCCCQigBBKRUt0iKAAAIIZFWAoJRVXjJHAAEEEEhFgKCUihZpEUAAAQSyKkBQyiovmSOAAAIIpCJAUEpFi7QIIIAAAlkVIChllZfMEUAAAQRSESAopaJFWgQQQACBrAoQlLLKS+YIIIAAAqkI+Coo1dfXS2FhYdL6z58/X0KhkJw+fTppWhIggAACCARHwDdBSQOSPpItzc3NjtIly4ftCCCAAAL+E/A8KGlvZ9q0aVavp6ysrFchTVtTUyMFBQW9pmMjAggggEAwBTwPSibI1NXVJRWsqqqyAlJ1dXXStCRAAAEEEAiegOdBSQNMQ0NDUrlVq1ZJW1ubo7RJMyMBAggggIAvBTwPSsmG7FSts7NTdHJDbW2tFBcX+xKSSiGAAAII9F3A86Dk5BB02K6kpMQKSk7S52KarVu3BuawglRXRQ1SfYNUV2yz+5YN2rngVOMipwm9Sqcz8nSCw/bt272qAuUigAACCLgkEAqHw2GXykpajPaIdMr3qVOnImn1vqXe7kfSIb1kkyT0nqZES1NTU6JNrEcAAQR8LVBeXu7r+qVTOd/3lOwByhygXl/SHpRuczI9PFHc1WAVlEbVrjp1NWdAZv/HNrOe9tywtWtk9nmuDt8F4ppSZpuS3BBAAAEE/CpAUPJry1AvBBBAIA8FfBWU9H6leMN1se2i15B0SM7J0F3svrxGAAEEEPCvgK+Ckn+ZqBkCCCCAgBsCBCU3lCkDAQQQQMCRAEHJEROJEEAAAQTcECAouaFMGQgggAACjgQISo6YSIQAAggg4IYAQckNZcpAAAEEEHAkQFByxEQiBBBAAAE3BAhKbihTBgIIIICAIwGCkiMmEiGAAAIIuCFAUHJDmTIQQAABBBwJEJQcMZEIAQQQQMANAYKSG8qUgQACCCDgSICg5IiJRAgggAACbggQlNxQpgwEEEAAAUcCBCVHTCRCAAEEEHBDgKDkhjJlIIAAAgg4ErjIUSoSIYAAAgg4EtAfKj158mRU2s8++0w6Ozuj1tlfnD17Vvbv329flfT54cOHpby8PGm6oCUgKAWtxagvAgi4JtDR0WGVZQ8qsQFk586d8sYbb/SpThMmTJApU6b0KY9c2ZmglCstyXEggEBKAkePHhUNNtrj0EDz6quvyo4dO0QD0ebNm3vNa+7cuZHt9913n8yfPz/yeuDAgTJy5MjIa/Nk9OjR5mlG/t+6dWtG8vFbJgQlv7UI9UEAgYwJfP755/Lee+9ZgefEiRPWEFmioPO1r31NLr30Upk4caJooNGluLhYLr74Yut5poNKxg4yxzIiKOVYg3I4COSrgF7Leffdd+WDDz6QX//61xJvWE17OCboXHbZZVYQGjJkiBQWFor2PHLxGk3QzgeCUtBajPoigIAloD0enRwQLwA9+OCDVm9Hh9WuvfZaMYEHOv8LEJT830bUEAEERESvAb3zzjvS3NwsS5YsiZjccccdVgBauHChdS2HYbYITSCfEJQC2WxUGoH8ENi3b5/s3r3bCkRm8oEGoeXLl8vkyZPliiuusIbe8kMjP46SoJQf7cxRIhAYAe0RtbS0yIoVKyJTrRctWiR/8zd/I6WlpQShwLRkehUlKKXnxl4IIJBhgT179sjatWvlxRdftHLWQLRs2TIZP368DBgwIMOlkZ1fBQhKfm0Z6oVAHgjolO0tW7bISy+9ZN0bpENzGzdutG4k1RlxLPknQFDKvzbniBHwhYD2jB577DFriE6DkV47mjRpki/qRiW8E+ALWb2zp2QE8lJArxnNmzfPmqhQVFRkBaNNmzYRkPLybLjwoOkpXWjCGgQQyJLAtm3brBtU9bvedJiuoqIiSyWRbVAF6CkFteWoNwIBE9DZdPqNCXpja1NTEwEpYO3nVnXpKbklTTkI5LGABqTZs2db9xfNmjUrjyU49GQCvuop1dfXx70H4fTp01JTUyOhUCjyqKqq6vX3SZIdONsRQMAdgcbGRgKSO9Q5UYpvgpIGJH3EW6ZNmyZtbW3S2toq4XBYDh06ZAUkXa8BiwUBBPwp8P7778tdd90les8RPSR/tpHfauV5UNKgYoJLWVnZBT4bNmywAlJ1dbWUlJRY2/Xr5Ovq6qzAtGrVqgv2YQUCCPhDQK8d6aQGnfrNgoATAc+vKemwXEFBgRVkdEgudqmsrLR6R7HrdR9d6CnFyvAaAX8I6E9J6B+VOsuOb2TwR5sEoRaeByXtAcXrISXD0+E8XbTXxIIAAv4TOHLkiFUp/f0iFgScCng+fJdOQNKD02E7DUga1FgQQMB/Ap2dnValRowY4b/KUSPfCnjeU0pHxsy82759u6PdddZeoiVIv3NPXRO1Yt/XY9t3w9gc9GcndME2VobXvQkELijpL0nqOHVDQ0Nk4kNvB6jbdMZevEWDVVB+/ljf2NQ1Xiv2fR22fTeMl8Onn35qrea8jafT93VBCvapHG2ggpL2kExA0gkQLAgggAACuSUQiKCkkxo0IOlMO71XyUwNz62m4GgQQAABBHwflPRiqd7HpIteQyIgcdIigAACuSvg+ey7ZLQ6y057SPrQn0K2f9WQPo93b1OyPNmOAAIIIOBPAV8FJZ28oDfc2Rf95gadqJDoofuwIIAAAgjkhoCvglJukHIUCCCAAALpChCU0pVjPwQQQACBjAsQlDJOSoYIIIAAAukKEJTSlWM/BBBAAIGMCxCUMk5KhggggAAC6QoQlNKVYz8EEEAAgYwLEJQyTkqGCCCAAALpChCU0pVjPwQQQACBjAsQlDJOSoYIIIAAAukKEJTSlWM/BBBAAIGMCxCUMk5KhggggAAC6QoQlNKVYz8EEEAAgYwLEJQyTkqGCCCAAALpChCU0pVjPwQQQACBjAsQlDJOSoYIIIAAAukKEJTSlWM/BBBAAIGMCxCUMk5KhggggAAC6QoQlNKVYz8EEEAAgYwLEJQyTkqGCCCAAALpChCU0pVjPwQQQACBjAsQlDJOSoYIIIAAAukKEJTSlWM/BBBAAIGMCxCUMk5KhggggAAC6QoQlNKVYz8EEEAAgYwLEJQyTkqGCCCAAALpChCU0pVjPwQQQACBjAsQlDJOSoYIIIAAAukKEJTSlWM/BBBAAIGMCxCUMk5KhggggAAC6QoQlNKVYz8EEEAAgYwL+Coo1dfXS2FhYdyDrKmpkVAoFHlUVVVJZ2dn3LSsRAABBBAIpoBvgpIGJH3EW+bPny8bNmyQlStXSjgclkOHDlkBadq0afGSsw4BBBBAIKACngel06dPiwYX/b+srCwuowakyspKqa6utrYXFxdbz7WnRG8pLhkrEUAAgUAKeB6UdFiuoKBA6urq4gKawKOByL6YAKYBiwUBBBBAIDcELvL6MLT3YwJMvLq0tbVZq2ODkgYyXbSHxYIAAgggkBsCnveUegtITogZvnOiRBoEEEAgGAKeB6VgMFFLBBBAAAE3BDwfvuvrQcYO68XLT6eSJ1q2bt2aaJPv1lPX7DUJtpm33bdvn5Uptpm3zeUcfR+USkpKLP/YYTpzLclcW+qtkXQaebxFg1V5eXm8Tb5bp29s6pqdZsE2O66ffvqplTHnbXZ8gxTsUxHw/fCd9oT0ERuUmpubreM0QSuVgyYtAggggIA/BXwflJRN71FatWqV9dDXGqD0tQakvk6U8GezUCsEEEAgPwUCEZRqa2utm2XNVw2NGjXKurepoaEhP1uNo0YAAQRyVMBX15QSBRm9bqRfMaQPFgQQQACB3BUIRE8pd/k5MgQQQAABuwBBya7BcwQQQAABTwUISp7yUzgCCCCAgF2AoGTX4DkCCCCAgKcCBCVP+SkcAQQQQMAuQFCya/AcAQQQQMBTAYKSp/wUjgACCCBgFyAo2TV4jgACCCDgqQBByVN+CkcAAQQQsAsQlOwaPEcAAQQQ8FSAoOQpP4UjgAACCNgFCEp2DZ4jgAACCHgqQFDylJ/CEUAAAQTsAgQluwbPEUAAAQQ8FSAoecpP4QgggAACdgGCkl2D5wgggAACngoQlDzlp3AEEEAAAbsAQcmuwXMEEEAAAU8FCEqe8lM4AggggIBdgKBk1+A5AggggICnAgQlT/kpHAEEEEDALkBQsmvwHAEEEEDAUwGCkqf8FI4AAgggYBcgKNk1eI4AAggg4KkAQclTfgpHAAEEELALEJTsGjxHAAEEEPBUgKDkKT+FI4AAAgjYBQhKdg2eI4AAAgh4KkBQ8pSfwhFAAAEE7AIEJbsGzxFAAAEEPBUITFCqr6+XwsJCCYVC1qOmpsZTOApHAAEEEMi8QCCCkgak+fPnS0NDg4TDYevR1tYm06ZNy7wIOSKAAAIIeCbQx6B0UlpqSyVUtEBaznTFOYie7eVrpCPe5jh7xFu1atUqKSkpkbKyssjmyspKaW5uls7Ozsg6niCAAAIIBFugj0HJ+4M/ffq095WgBggggAACGREIRFCqra0VHa7TnpFZNmzYYPWctAfFggACCCCQGwIJglKXnGlZIEWhKnmhZbssmzGuZ4JBudSu2yvH+zAUlw5bdXW16HCdXkMyEx102G779u3pZMc+CCCAAAI+FUgQlExtN0j1Pb8QeXibnAufk0/aa0TWfk++98xeOWuSuPB/VVWV1VM6dOhQZKKDBqlRo0YJw3cuNABFIIAAAi4JhMI6ne2CRXtK35erb31VvrHxn+SFiiulO3r1rL9H5BcHFsrUwaekpfY2ufXptgtyiFoxfbW0b5kpo5OEwKh9el7okJ32kOrq6kSH8cyiPSUNSrHrzXb7/9q7SrQ0NTUl2sR6BBDog8CePXvkqaeeEt5jfUBMsmt5eXmSFMHbfFHvVR4rk669rCcgacp+MnDEVTLu+POytfVxmTq1Z+9hT8gOK0jFRh2dfXeb3Lqv91J622p6QsXFxVHJ9HVBQYHVg4raEOdF3LgrYg0FBqVRt27dKtQ1TuNmYBW2GUCMk8Wnn35qreW8jYOTgVV63ubiEhtFHB7jMdl3+KS4cWnJTGRINPXbbHdYcZIhgAACCPhYIM2gVCQ3jBxi60Fl7wi1R6QTHXS2nT7Mot/ooD0l3caCAAIIIJAbAkmCUqe0H7VPaeiSs0cPytvDpkt5aaFrAitXrrRm32kgMrPvdFhPZ99pYGJBAAEEEMgNgSRBqU2efuoZaew4IyJdcvbAepl9z6vyjRU1MmVwkl0z7KOTHE6dOhWZfadfORR7nSnDRZIdAggggIDLAkkiy3SZd+9Y6Vw0SUKh/jJoaouMW7dRno3MxnO5thSHAAIIIJDTAklm331VxkyulJkz75U56+I5DJGp9a0Sro+3Tdf1bE+0mfUIIIAAAgjYBJL0lGwpeYoAAggggECWBQhKWQYmewQQQAAB5wIJhu/6yeCpi+VYnO96cJ41KRFAAAEEEEhNgJ5Sal6kRgABBBDIogBBKYu4ZI0AAgggkJoAQSk1L1IjgAACCGRRgKCURVyyRgABBBBITYCglJoXqRFAAAEEsihAUMoiLlkjgAACCKQmQFBKzYvUCCCAAAJZFCAoZRGXrBFAAAEEUhMgKKXmRWoEEEAAgSwKEJSyiEvWCCCAAAKpCRCUUvMiNQIIIIBAFgUISlnEJWsEEEAAgdQECEqpeZEaAQQQQCCLAgSlLOKSNQIIIIBAagIEpdS8SI0AAgggkEUBglIWcckaAQQQQCA1AYJSal6kRgABBBDIogBBKYu4ZI0AAgggkJoAQSk1L1IjgAACCGRRgKCURVyyRgABBBBITYCglJoXqRFAAAEEsihAUMoiLlkjgAACCKQmQFBKzYvUCCCAAAJZFCAoZRGXrBFAAAEEUhMgKKXmRWoEEEAAgSwKEJSyiEvWCCCAAAKpCQQmKLW1tcm0adMkFApZD33e2dmZ2tGSGgEEXBM4e/asa2VRUO4IBCIoNTc3S2lpqVRWVko4HJZTp05ZLaCB6fTp07nTGhwJAjki8Pnnn8uKFSus92yOHBKH4ZJAIILS/PnzpaysTKqrqy2WgoICqa2ttXpKGzZscImKYhBAwKnAsmXL5I033pDbbrvN6S6kQ8ASuMjvDjpEp0N3K1eujKqqBintNbEggIB/BLSH9MMf/lCWLFkiGzdulK985Sv+qRw1CYSA73tK5rqR9o6qqqq4phSI04pK5qNAR0eHfPe737UC0rp166SioiIfGTjmPgoEJijV1NRISUmJ1TvSHpIGKa4p9bH12R2BDAjoNV69fjRmzBg5duyY/OY3v5H77rsvAzmTRT4KhMI+HwOrr68XvaakkxwaGhoibaQ9qFGjRkldXZ11fSmyIc4TnbGXaGlqakq0ifUIINCLwCeffCKvv/66LF261Ep1//33yze/+U0ZNGhQL3uxKZMC5eXlmczOH3lpUPLz0tDQoBeOwnV1dRdUs6CgIFxZWXnBeqcrNN+gLE1NTUGpajhIdVXUINXXD3V97733wsuXL7fel/oemjt3bri9vT3u+emH+satWJyVQapr0M7bONwJV/l+okNxcXGv0VuH8VgQQCC7AjqB4c0335S1a9fKiy++aBW2fPlymT59uowePTq7hZN7Xgn4/pqSXkfSwBQ79VuH7/QeJd3OggACmRfQQLRnzx5ZvHixXHzxxTJ58mT58MMPrVl1f/jDH2TWrFkEpMyz532Ovg9K2kJ6T5JOC1+1alWkwfQ6kwYkc+9SZANPEEAgbQGdtBAbiDZt2iTaK3rvvfdEn+ususLCwrTLYEcEehPw/fCdVl4Djw7T6aQHnYWni0582L59e2/HxjYEEHAgoFO5f/3rX8trr70WGZq74447rECkvaMbbrjBQS4kQSAzAoEISnqoGoT0wYIAAn0TOHr0qLzzzjvS2tpq9Xz0mxd0efDBB0XvL5o6daqMGDGib4WwNwJpCgQmKKV5fOyGQN4LJApC2hvS+4n0K4HGjh3LkFzenyn+ACAo+aMdqAUCGRHQyQl67Wf//v3WkJx+3Y9ZJkyYIHfeeacsXLhQrrnmGnpDBob/fSVAUPJVc1AZBFITML0gvS7029/+NnJNSHMx14VuvPFGekKpsZLaQwGCkof4FI1AKgImAH3wwQdWT8jeC9J85s6da03X1lso9Ct/BgwYkEr2pEXAFwIEJV80A5VAIFpAez6HDx+WEydOJAxAOilBv2rryiuvZCgumo9XARYgKAW48ah68AXs14AOHDgg//qv/xo1BKdHqD0gE4A0UN19993BP3COAIEEAgSlBDCsRiDTAtr70W9EOHTokNX72blzp/VDeKYcnYgwZcoUawjusssui9sD4ifGjRb/56oAQSlXW5bj8kxAr/2cPHnS+mVk7f3s3btXNm/eHFUfvSdIp2PrN5Nce+21cvnll3MNKEqIF/kqQFDK15bnuPssEBt84g296Qw4/cJS/RVWnYAwZMgQrv/0WZ4MclmAoJTLrcuxZURAh90+++yzSM8nWfDRobdLL72ULyvNiD6Z5JsAQSnfWpzjjStgJhzoNR+dcq3fBafBKHbYzd7zIfjEpWQlAn0SICj1iY+dgyag34Kt13vs06018GgAsi96zccMuxF87DI8RyC7AgSl7PqSu0cC9us9x44dkyNHjkjszaZaNZ1ufdNNN8lPfvITrvl41FYUi4BdgKBk1+B5oATiDbnpDz+aX0Y1B2OmWuu9PgMHDrRmu+mEA/ObQFu3bpXy8nKTnP8RQMBDAYKSh/gU7Uwg3pBb7D0+mlO86z1MtXZmTCoE/CJAUPJLS1APSWXITb/tWu/xYZo1Jw4CuSVAUMqt9gzE0diDT6Kv1kk25BaIA6WSCCCQsgBBKWUydnAq4CT4mCE3vd4zdOhQGTlyJN9u4BSYdAjkoABBKQcb1e1D0ms+Oruts7NTtOfz2muvyW233RZVDRN89JsNmGIdRcMLBBCwCRCUbBg87V3AzHbTe3z0vp5406x12E17OwSf3i3ZigAC8QUISvFd8n6tvfeT6NsNzE8qxA67McU6708fABBIW4CglDZd7uyo135+//vfJ/xJBR16mzhxovWt1jrb7Yorrojc45M7ChwJAgj4QYCg5IdWcLEOsT2g2G85MD+psHDhQmsYTr9qhwUBBBBwS4Cg5Ja0R+XotZ/9+/dbExA2bdoU9aNyGoCWL19ufcebXgciAHnUSBSLAAIRAYJShCL4T3QiQnt7u7z11ltWILL3gnQIztxwqj8qRwAKfntzBAjkogBBKeCtum/fPisI6TRs+3e+aS9I7/0ZNWqUjB07lmtAAW9nqo9AvggQlALW0npNqLW11Xo8+eSTkdqbIHTdddfJmDFj+GntiAxPEEAgSAIEpQC0ls6Oa25ulp/97GeRH53T4Ti9HjR58mSCUADakCoigIAzAYKSMyfXU2kgamlpkcbGxkgg0t6Q3gN0zTXXyIgRI1yvEwUigAAC2RYIZFDSb4eur68XHcoqKCjItpFr+evx6E8yvPTSSxcEojNnzsh3vvMd1+pCQQgggIAXAoELSjqMpQEpl5Y9e/ZYQcjMljM9otLS0sgEBe0hsSCAAAK5LhCooKS/KlpTU2P1jvR5kBftFb388stWr+iNN94Q/c44nS03depUhuaC3LDUHQEE+iTQr097u7xzVVWVFZCqq6tdLjlzxWmvaN68efJnf/ZnMnv2bOveod/85jeyd+9e62t8uFaUOWtyQgCB4AkEpqe0atUqaWtrs6ZC6/MgLXpTq95H9Pzzz1vDdKZX9K1vfSsyPBek46GuCCCAQLYEAhGU9Hd6dHJDbW2t9fPX2cLIdL4ajLZs2SJ1dXXW1/voNO7du3fL+PHjuY8o09jkhwACOSEQiOE7HbYrKSmxglIQ1DUY6VTum2++We666y6ZMmWK6BCdfvfcpEmTCEhBaETqiAACngiEwuFw2JOSHRaqM+10uE6/xcBM/051SngoFEpYWlNTU8JtqW744osvrHq+8sor1o/gVVZWWr/AOnz48FSzIj0CCCCQVKC8vDxpmsAl0KDk56WgoECDZsJHbW1t2tXXfDO17N69OzxhwgSrnnPnzg23t7dnKmsrn6ampozml83MglRXdQhSfYNUV2yz+S4L1nmbioTvh+906rR25uwPvbaki27T6zVeLvrTEA899JD1dT9FRUXWMN3TTz/Nt3B72SiUjQACgRXwfVDyq6xeN1qxYoX1vXO//e1vra//0WtGN9xwg1+rTL0QQAAB3wsEYvad3xT15yL0Xim96VW/FPWBBx5g8oLfGon6IIBAIAUC2VPSITsdzjMTH9yS197R4sWL5cYbbxQdqtMf1Js1axYBya0GoBwEEMh5AXpKDptYrx3pNzFs3rzZ+jognVk3YMAAh3uTDAEEEEDAiUAge0pODiyTabZt22ZdOzp27Jg1keG+++4jIGUSmLwQQACBHgGCUi+ngpnMoPcC6Dd379q1i4kMvXixCQEEEOirAMN3CQQ1ID3yyCPy4osvWpMZ9NoRCwIIIIBAdgUISnF87QFJv6tOvxqIBQEEEEAg+wIM38UYE5BiQHiJAAIIuChAULJhE5BsGDxFAAEEPBAgKPWgE5A8OPsoEgEEEIgRICj1gCxbtsya1MA1pJgzhJcIIICAiwIEJRHR+5CefPJJ66ZYJjW4ePZRFAIIIBAjkPdB6ejRo2LuQ9KbYlkQQAABBLwTyPug9Nxzz8mECRNEf0yQBQEEEEDAW4G8v09pyZIlsnHjRiksLPS2JSgdAQQQQEDyvqd0xx13SEVFBacCAggggIAPBPI2KOlvIukyd+5cHzQDVUAAAQQQUIG8DUpvvfWWdQaMHz+eMwEBBBBAwCcCeRuUjD+/iWQk+B8BBBDwXiBvgxLTv70/+agBAgggECuQt0EpFoLXCCCAAALeCxCUvG8DaoAAAggg0CNAUOJUQEJlKG4AABn5SURBVAABBBDwjQBByTdNQUUQQAABBAhKnAMIIIAAAr4RICj5pimoCAIIIIAAQYlzAAEEEEDANwIEJd80BRVBAAEEECAocQ4ggAACCPhGgKDkm6agIggggAACBCXOAQQQQAAB3wgQlHzTFFQEAQQQQICgxDmAAAIIIOAbAYKSb5qCiiCAAAIIBCIonT59WmpqaiQUCkUeVVVV0tnZSQsigAACCOSQQCCC0rRp06StrU1aW1slHA7LoUOHrICk6zVgsSCAAAII5IaA74PShg0brIBUXV0tJSUllnpxcbHU1dVZgWnVqlW50RIcBQIIIICAXOR3g8rKSqt3FFvPgoICaxU9pVgZXiOAAALBFfB9TykRrQ7n6aK9JhYEEEAAgdwQCGxQ0mE7DUg6rMeCAAIIIJAbAqGwzhwI2KIz75qbm2X79u2R60y9HYLO2ku0NDU1JdrEegQQQMDXAuXl5b6uX1qV06AUpKW2tlaDaLihoaHP1dZ8grI0NTUFparhINVVUYNU3yDVFdvsvmWDdi441fD9RAd7pNUeks7Ga2hoEJ0AwYIAAgggkFsCgQhKOqlBA5LOtNN7lczU8NxqCo4GAQQQQMD3QUm/tUFvktXF6TUkmhUBBBBAIJgCvp99p7PstIekj9LS0sjXDJmvHNIeFAsCCCCAQG4I+D4o6Tc36ATBRA+9vsSCAAIIIJAbAr4PSrnBzFEggAACCDgRICg5USINAggggIArAgQlV5gpBAEEEEDAiQBByYkSaRBAAAEEXBEgKLnCTCEIIIAAAk4ECEpOlEiDAAIIIOCKAEHJFWYKQQABBBBwIkBQcqJEGgQQQAABVwQISq4wUwgCCCCAgBMBgpITJdIggAACCLgiQFByhZlCEEAAAQScCBCUnCiRBgEEEEDAFQGCkivMFIIAAggg4ESAoOREiTQIIIAAAq4IEJRcYaYQBBBAAAEnAgQlJ0qkQQABBBBwRYCg5AozhSCAAAIIOBEgKDlRIg0CCCCAgCsCBCVXmCkEAQQQQMCJAEHJiRJpEEAAAQRcESAoucJMIQgggAACTgQISk6USIMAAggg4IoAQckVZgpBAAEEEHAiQFByokQaBBBAAAFXBAhKrjBTCAIIIICAEwGCkhMl0iCAAAIIuCJAUHKFmUIQQAABBJwIEJScKJEGAQQQQMAVAYKSK8wUggACCCDgRICg5ESJNAgggAACrggQlFxhphAEEEAAAScCBCUnSqRBAAEEEHBFgKDkCjOFIIAAAvkhsGLFCtFHugtBKV059kMAAQQQiCswe/bstAPTRXFzZCUCCCCAAAJpCMyaNUsGDx4sM2bMsPbW16ksBKVUtEiLAAIIIJBU4L777pNRo0bJ5MmT5ciRI/KjH/1IBgwYkHQ/TRAKh8NhRykDnCgUCgW49lQdAQQQCLbAgw8+KC+88IKjg8iLnlKiuKvBKtE2R3ouJqKu2cPGFlsVCNJ5EJT66oQHvb50/fXXOz7J8iIoOdYgIQIIIIBARgRMQNq4caNUVFQ4zpOg5JiKhAgggAACyQQ+//xzeeSRR+TFF1+U3bt3y6RJk5LtErWdKeFRHLxAAAEEEOiLQF8CkpabFxMdEgEHaQyZuiZqxb6vx7bvholywDaRTN/X+9V2z5491sGl2kMyIgSlgEw+9OsJaE4k+/9BqqvWO0j1DVJdsbW/KzL/PGjnglOBnB2+q6+vl8LCQusDRxtv2rRpsmHDBqcupEMAAQQQ8EAgJ4OSBp/58+dLdXW1NeXbTPuuqqqSzs5OD5gpEgEEEEDAiUBOBqXm5mYpLi6Wurq6iMHKlSut57qNBQEEEEDAnwI5G5RKSkqixDVI6cMelEwPKiqhT19Q1+w1DLbYqkCQzoMg1tfpWZZzQen06dPWEJ0GoNiloKCA4btYFF4jgAACPhLIuaCUzJZrSsmE2I4AAgh4J5B3Qck7akpGAAEEEEgmkHdBKd6wXjIktiOAAAIIuCOQc0FJrxtp4Ik3TKfXmwhK7pxYlIIAAgikI5BzQUkRysrKpK2tLcpDg5Q+YmflRSXy2Qu94Vdv/I196I3Bflk00OuPecWrk19vYFZXvWctdtH6xlrr63hpY/fN5Gsnbnoux54fem+eF4uT+uqs13i2eoO7m4t+Ltjd9HnsZ4XWp6amJqq+bt/jqO8rLdOY6Xts1apVF1DZj8Wk1f+1TQK76I/85drS0NCgP1wYrq6ujhxaWVlZuKCgIHzq1KnIOr8/0fraj8Fv9VXLkpISy7quri6qeqYNamtrI+u1DbRdDh06FFnn9pPKykrrPND/YxddV1xcHLva1dfa3truK1eujJRr3LZv3x5Zp+76aG1ttdaptxfni9P66vnhddvreadG6mkWcz7Yz0k9Z+1toNvU2s1zw7SvqZfxs58XegxetLmxy9b/Ojc/JxdtRG0wfSPoQxtZ37hBWfRk1HrHnoR+qb/WS9+kJvjEBiX9sIp9E3t5TPrhbc4BPS/iBSWtr5d/BGiQ1zaPVwd7nRM5xjPP5vnitL5aB7frFu+4TbCxbzOW9j+e4p0Her5r22j6bC/mPWX/I0TL1HrpOWwWU3e/fkaYeqb6f04O32m3tba2Vk6dOhX5mqHW1laprKwMTI/W3OSrQ5F+W3S4Q4eKGhoaEl6j0/rHDpXq9Tx9mGNz87h0mEPbP9E54IfhXb0eqjdwmm8fifXROupi/GJ99bWmiTccFZtXJl47ra+ps9fnsn7Di34m9LaY8yD22rOpuxvfn6nnqJ4HpsxE9TXnQbJ0ifb36/qcDUp+BXdaL31z6JvePrZdWlrqiy+V1TesBvnYD0VzbH68gVkDqP6hkmgxH+T6Rjdj83q9ww9j83ouqKnx1te6xH5w6vmii9luvfDgn9j6mvNB19u/JFnPbS8XrZfWQd30ezJ1MedBIlvdx4tF66l+pp5aB33t18+IvhgRlPqil8V9zZtD/7rTv5r0oR+qevHT/IWUxeJ7zVrfCLFv2l53iNmobya3l2R/TZo66Qe/8dbAqxeXvQ5Mpnz7B1JvfuZYekuTzW2x9TXnsp439tELraf2YL1Y9A88DZD6XlJXp+ez27Y6IqF/JOl5qOewvadvXP34GdGnNk11vI/03grouLI+/LLotRoda7dfUzLXGuzj9Ka+Oiau10e8XOzXZ5LVQ6+FuHUtIV5dzAVuu6+6ap3U2b6YaxH2tPbtbjyPV99E5ZrrNF5eE9HzV88HM/nBGOr/9sWc0/GuRdrTZeu5lq/vHX3vx7Z7bJl++4yIrV+y1/SU+hTS3d/ZXDfwahghE0fs9K/STJTV1zxMXc1fpX3NL5X9zU+waA+5t6HH2DxNnWPXZ/t1qvWNHY7Mdv3i5a910N6H9pic9IK8sjVDjFrHZNe1gv4ZQVCKd6b6fJ2eoPrw66J10zdvvDe5BlOv3th98XLbW4fAdKhWg5H9J1j0GIxfrK/5Q8Vs78vxprpvb/VNlpfbtrH1MeWrX6JAaWxN2tg83HhtyjZ16a1MTWvS95bOj9sISn5sFRFrvDveeLv+xZ7s+ogfDknrGNu70A9RfZg3vh/qaeqg1vFu5NT66oe8W+b6gaN10WsJGoxiA5LW19Ql1ldf6weRm75O6qsBS6+LxF4LNfU3x2PaIlv/q6vehBq76DGom7azecQGfFN3N2yNl/Ex9TXByPzRoedrkD8jzHFd8H+y8T22eyNgxubt9yro2LuOf7txr4TTo453TUn3NWPz9ntudNxe659sTNxp2emmi3dNSZ1jr43psen4vJvXPPS6QWw94h2nub6gddRFvfW44l3Hi7d/ptY5qa+2tzqa6zZatq7T1/bzI1N1SpRPvDY2bvbrcOaanWl3fb/pcerDjcV42a9fmTrYDYPyGZGqmc40YvGpgJ50+mbWDyl96AlpPoT8UuVEQUnrp/XXD0pTf31Tx15A9uI44gUlrYfWTY3t9TUfTG7UU8s3Zcf7X+ttFnW311XTu/kBb7zi1dOss9dXP1T1Q9a+zR4IzHFl+38nbaxBwUxwMfVVazf/GHTqFYTPiFTbNKQ7XNB9YgUCCCCAAAIeCHBNyQN0ikQAAQQQiC9AUIrvwloEEEAAAQ8ECEoeoFMkAggggEB8AYJSfBfWIoAAAgh4IEBQ8gCdIhFAAAEE4gsQlOK7sBYBBBBAwAMBgpIH6BSJAAJBEeiSsx2NUntLkYRCRXJLbaN0nO0KSuUDWU+CUiCbjUojgIArAl0d0jB7sZyc/Ss5d+5XMvvk/5RF2953peh8LeSifD1wjhsBBBBIKtDvapm5tVVmasKz++Wjfx8oQy8ZkHQ3EqQvQE8pfTt/7Xl2ryy9pVQeaPy9JBxc6Doga8qvkvI1BxKniRzVH6VjTZWEytdIR8IMI4l9/sQ+BBNKcEwnpaW2VEKhb8nSto/iHE/P9rQ9zkhHS6OsqS2P/LJtKFQutWv+SdqO/ym6vDMtUlsUkqLaFjkTvaX7lbW9yGE7xsugt3VdcqZlgRSFqmRNxx8TJ8xYHRyWZ9VEz8m7s3TciQ9Vt/x721K5atA4eeDITVI+dnDvidnaJwGCUp/4fLTzwOvk2/cWy5qVO+RggiDSdfCX8srbt0lNebHkVcNbQzCzZH3xCjl6LizhrTNldEKAf5a5c/6XtGXyukHX+9KyoFLG3LNZTpUtl096fkn43LHF8penNsjtRbfLgpb3Hfyh4KPzzZOqnJWj7YPkryaPdP38vahkjhwMfyFHZ38o98z/JznuyfHnR6EJ35r5cfi5dJRflqvK/6vMfLtJdh+M9xfuH+Xg7iZ5+94KKRv+pVw6cOfHMuQSGZTsjL9pikxpXyJzft4qZ53n3EvKj6TtmRq5de1/ko1vvCBzpo2WgT2p+w0rkYo5z8qrS/6D/OSen8im92N6TL3kmpebzrwlW383USZf9WX3Dt8aXbi7p9d4kQy6ZLBcPPQS+Yp7Nci7kpK9RfMOJMgH3G/41+Xue9+X9f/41oUfqGd+Kau//5k8XjVeugcfdDhpTc+sopB0DyW1JJ5ZFHdIyQy9lEpty0kRMUNcddK4dZnMKNJ8QxK6pVbWtb0vZzq2ytIZ47rXFc2QZXuPR/UOuo7vlXWR4S2d6bRGWjriDmDZmkmH5lpsw2LR+3V1rJHy/mPlgW3H5fjTt8pXQ6autizsTwd+RxY8VyHtc38sP487jGdP/Cc53tZ4/ph6jnVNS8d5/zNvSsMzb8r0hbPkzrh/DFwiJdWPyzz5qcx6bnf84Tp7kSk87zreJo1LZ0iR1st66HBhTBt3HZe2xqWRtiqa8YxseTP2Qn7McRbNkKVb3pQTsXXRvNbVyi2mvFtqJcpC0zsqLzZja0c507pTfldxk1zVy6dW9Dk0TmYs3dpzTptz9b/I0kZ7m5VL7bq9cvxMh2yPWI2TGcv2yHEdceg3WqqenS67pgyQUKi/XL1uuLz8t5N73kPx6sm6vgr00rx9zZr93RcolIlV3xF5ZpPsPWMfw+uSM63Nsn5chXz7xktE5IwcWPOYTLlnlwytb5Nz4bCcO/YDGbrrURlz+7N9H7ra9pwsb7lSnuw4J+FzR2XH1/bJ/aUj5OpFB+XrdW0SDn8s7y68SJbcuSjSO+h6v1EeKnlAWob+QI7pEFv4gPxszB65Z8oCaUzYg+iSswfWy8NTHpVdZr9zbVI/dJfcM+Z71rWhfqNnytZz78rq6cNk2Lwd8nG4VeqnDumlaQbIlXfOlRUzf59kGK9Lzrb9VL53+2bp//A2yzAc/kKO/d3Fsv7Wx3sCWo/78SK5YeSQxENOg6+T8ntL5Pj6ZmmNardeqpls09m98sz3amRz/2ppszy1jedI//XVUhPpBWov7iEpXX5K7tj5sYTD56TjyWJ585+324aneo6zdKV8eMeG7qHHjiek+M3t8pJ9DKvr99L40HS5veUKqT/2hZXXJz+7Rnbdc5c8GrnO6aS8RAd2Slq3/j+p6GXorvsculPWSo20f3JOwp/8b7n57Tky5dFN8n7k7bBJ5i5vleIn94jVXjtukr33/6UUXb1I9n+9To6Gz8kn784RWfLf5Pub9PpsPxl49QxZd0zPybAcW/ewTByWpyMNiZom0+tT/a0L0vtc4Ny74dXTbwrP2/Hh+YqeOxzeOHNKeObGw+FzuvbjHeF5w649/9qktNYPC09f/W74XPjzcPvqyrBMXx1u152sbRIeNm9H+GOTPnwu/PGOJ8LDpKSnvA/DO+aVhGXYE+EdH1slhcORNJXh1e2fn9+zfXV4eux+pqxIqu78osuMbAyHwz3bZ24MHzXFWZt76mHys0yGxdTdno8+j97n3NGN4ZnDhoWnLHk9/Em8PE3ZUR56uOo/KtpQoo89tuRI2SZdj7X5LZ/4/5t2ujC3iHlUO2i6eG1q2s7kY9rU1DlBG0SdK7H7xORl6mHtk6w8s2/M/7rvKPt5FbPdHJspy9psr9enMedqz/5Rx9GzztH5Els+rzMlQE8p01He6/z6FUt5zY2y8e//JfLXYdfBHbJyy9fk7rLLpZ+Yv97HyqRrL4v+631gkYwZJ/J2+7Hzw09uHI9eK1jfJsNuGClDo87IgTJiTHHiHoS13zEZN+kaGRZnP3n7oBxNc8JCv+Hfkh+v6G0Yb4hMrW+VY/WlcqJlszQ2Nkpj4wtSe+tUeWDbZxlR6+7Zdf+Frn+lRx4f75B5w3orop8MnrpYjh1bKBNP/EtP3f5B1tTeIWMe2NCzozkPimXMCHOVSzf1k4EjrpJxJntjPKYoci3M2mSdKxf3pNJezDY5PuwqGTnU3ovoyev4NtnaerK7t348SXmm3Jj/u04clt/dVSalg6Ma+nyqrsOy+5XdIuOukhEDTZoeh3CDzBzt4nWo87XiWRoCpvXS2JVd/CnwJRleViF3bfk/stWa8KATHHbInx6/UyZab+g/yYnDB23DMxcexfF9h+VEZLjjwu1J10R9MCRNHUnQfc3HXP/Q/wfYPkQjySJP9INqn30IKbKl58nxg3L4RLqTB74kw3sdxtOhw3Uyo+irMubW5+X1jxTsz6X8Z42yeroJ7F+SoSOvkmHSKe1HHUybuOBDPfaAUnh9dr+smXG9DBrzPVn++h+sYHNJ+dPSurpSuoP1H5OeB1paUmN7lY7/RG79an/blPeQ9B/zgGyz0nzhqDx7duef6zm8V/6i/LoMXMuJDYrnS+GZPwS4edYf7ZDZWgweL1WP/5ss2H1Y7i86I/+4XuTeldf1/KVrPigPJizT9FguuJCdcI9MbBgm01e3yJaZV0f33nrJut/QkXLDMJF9idL09UO+35Vy549/JDMnzJI5Py+W2fZydJr5o0/I9m9slKMvVMhw8+edTgh5+7jIDZq4nwwuLZN7h62VfYdPSpckuK5keor3Pt3dE0g2t8Nej7jP/ygdDT+WB7bfLBuPPiMVkQkWOhGlU0SuEpHk54F1BMmM7eVPXy3tWxJNt9eJBhqgE5939qyinmsvqPHPpfzlwqjVvMhNAfNWys2jy9ujukRu/PbtIq+8Jq2/2iQ/L75LyiPTaM0H5buyZ/8HUbPf5OwxaX9bZFzsUI06WsM1vY4Zpa9tXegvkrf3vNM94ymS00fStvRbCW52FZGE++n9LJ0xQzmRTFN6cn4Y7ylZvtd2U62xihk67PrkI9F5iJHF+gNhvGz7/orIpI7INuvJR9K26hl5Wh6WFY9kalaXOf7xcq39onzXp/LRyS96ijfnQWwvrkvOHj0ob5tKGuPYIV3r+M0wZaGUlk+XYW+/KfujbgTWSRLL5BbrRtw/9QToJOWZcm3/6/11jX8xJfHQnabtN1Im/9Xknl7g+W6+Nfsy1H2j8Tlbnjz1rwBByb9t06ea9bvqVqkZ8Q9Su/hXctfdXz//l7zmOrhU/nrhRNky6wfyrJmWrcM9sx+Vp8fMlcVVoy/srfS86Y+v/3v5hwP6p7xOxd4ki55a2+tQoLODGCJTHlkg39jyQ1nwbM9UXDkjHY1Py5y5IksWVyS42bVQJv71bJkWs9+BNbVyz9NDe9nPWa26U5lhvC9k585D53fs+bDetv4V2dnzQdx1fI88u+CHsiZqSPESKXl8pey4///KXRMekqXbz08X756y/ajcPvff5IlfPJFgyvj5Ip0/6wkS216RtTt7bsrtOi57n/2BzFqz/3w2gyfLIyv+s6y/p1bWJGzTnrZZ/6jMXrO/+1rj2QPSuKheno4cZz8ZPKVGVnxjl8xa8ILstTy6z4+n5vxUZMkcqdJrOo7KO1+97mcaJA+LxPtDKSrpl+WqbzwkT4xpkKfqdnT/cdP1vuxc+4psm9J9TvePSs8LvwoQlPzaMn2tV7/LpezuEmmXb0vVxNhhj8Fy9cxlsvMXN8uJ2hLpr/eVDPof0n7zs9L+6qNSErlQbK/El2V01ULZ9vi/y/fHflVCoRFy++pP5a6/e1Km25Ol+bzf8Dvl2Z3Pys0nfixF/fV60ldlyuZCmd36gjxeotPY4y06Xfde+WnUflfLf2+fJL9of1nmJNwvXl69rDPDeFEdxSEy5W+fl7UTfym3Fv1H6zrKiPm/kstnPC8b55VEZ9ZvuExd/Koce7VSCptny6Ce+3j6Fy2Q1wsr5dVjr8riqcMv/EMgOpcUXmmQmC2vrr1BfnXriO72HTFf/uXyGbJp4zw5fxhfkuEVi2Xnumtl11Rt0/4yqKZVJsx+JKpNu9tmqYzb9d3uug96VF6fMFOWTDcTHbSncqVUPLtRfnHzEam1PPrLoCmb5dLZr8jLj0+MDB07KS/6QJNPBTfp+w2bJgtfflnuP7e0+xzqP0GeOnePtL78cIJz2uzJ/34SCOk0Pj9ViLoggAACCOSvAD2l/G17jhwBBBDwnQBByXdNQoUQQACB/BX4/0QuIIcsBoxyAAAAAElFTkSuQmCC"></p>
<p style="text-align: left;">State, giving a reason, the strength of the acid.</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>State a technique other than a pH titration that can be used to detect the equivalence point.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.v.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the p<em>K</em><sub>a</sub> for this acid.</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>The p<em>K</em><sub>a</sub> of an anthocyanin is 4.35. Determine the pH of a 1.60 × 10<sup>–3</sup> mol dm<sup>–3</sup> solution to two decimal places.</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>weak <em><strong>AND</strong></em> pH at equivalence greater than 7<br><em><strong>OR</strong></em><br>weak acid <em><strong>AND</strong></em> forms a buffer region</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>calorimetry<br><em><strong>OR</strong></em><br>measurement of heat/temperature<br><em><strong>OR</strong></em><br>conductivity measurement</p>
<p> </p>
<p><em>Accept “indicator” but not “universal indicator”.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">b.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«p<em>K</em><sub>a</sub> = pH at half-equivalence =» 5.0</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">b.vi.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>K</em><sub>a</sub> = \({10^{ - 4.35}}/4.46683 \times {10^{ - 5}}\)</p>
<p>[H<sub>3</sub>O<sup>+</sup>] = \(\sqrt {4.46683 \times {{10}^{ - 5}} \times 1.60 \times {{10}^{ - 3}}} \,\,\,/\,\,\sqrt {7.1469 \times {{10}^{ - 8}}} \,\,/\,\,2.6734 \times {10^{ - 4}}\) «mol dm<sup>–3</sup>»</p>
<p>pH = «\( - \log \sqrt {7.1469 \times {{10}^{ - 8}}} = \)» 3.57</p>
<p> </p>
<p><em>Award <strong>[3]</strong> for correct final answer to two decimal places.</em></p>
<p><em>If quadratic equation used, then: [H<sub>3</sub>O<sup>+</sup>] = 2.459 × 10<sup>–4</sup> «mol dm<sup>–3</sup>» and pH = 3.61</em></p>
<p><strong><em>[3 marks]</em></strong></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">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.vi.</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>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 \(\Delta H_{\rm{f}}^\theta \) data from section 12 of the data booklet. \(\Delta H_{\rm{f}}^\theta \) of HOCH<sub>2</sub>CH<sub>2</sub>OH(l) is –454.8kJmol<sup>-1</sup>.</p>
<p style="text-align: center;">2CO (g) + 3H<sub>2</sub> (g) \( \rightleftharpoons \) 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 src="data:image/png;base64,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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 <span style="text-decoration: underline;">gas</span>” but not “fewer molecules”.</em></p>
<p><br><br>iv<br>Δ<em>S</em> = \(\left( {\frac{{ - 620.1}}{{1000}}} \right)\)«kJ K<sup>-1</sup>»<br>Δ<em>G</em> = –233.8 kJ – (298 K \(\left( {\frac{{ - 620.1}}{{1000}}} \right)\) 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 \(\left( {\frac{{ - 620.1}}{{1000}}} \right)\)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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" 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>Phosphine (IUPAC name phosphane) is a hydride of phosphorus, with the formula PH<sub>3</sub>.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>(i) Draw a Lewis (electron dot) structure of phosphine.</p>
<p>(ii) State the hybridization of the phosphorus atom in phosphine.</p>
<p>(iii) Deduce, giving your reason, whether phosphine would act as a Lewis acid, a Lewis base, or neither.</p>
<p>(iv) Outline whether you expect the bonds in phosphine to be polar or non-polar, giving a brief reason.</p>
<p>(v) Phosphine has a much greater molar mass than ammonia. Explain why phosphine has a significantly lower boiling point than ammonia.</p>
<p>(vi) Ammonia acts as a weak Brønsted–Lowry base when dissolved in water.</p>
<p style="text-align: center;"><img 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/SKDdxIgARIgARIgARIgARIwA+BL/o5zsMkQAIkQAIkQAIkQAIkoBCgw0ghkAAJkAAJkAAJkAAJaBKgw6iJh4EkQAIkQAIkQAIkQAJ0GKkBEiABEiABEiABEiABTQJ0GDXxMJAESIAESIAESIAESIAOIzVAAiRAAiRAAiRAAiSgSYAOoyYeBpIACZAACZAACZAACdBhpAZIgARIgARIgARIgAQ0CdBh1MTDQBIgARIgARIgARIgATqM1AAJkAAJkAAJkAAJkIAmATqMmngYSAIkQAIkQAIkQAIkQIeRGiABEiABEiABEiABEtAkQIdREw8DSYAESIAESIAESIAE6DBSAyRAAiRAAiRAAiRAApoE6DBq4mEgCZAACZAACZAACZAAHUZqgARIgARIIDgC9lZUX/9dFDd9ENz5PIsESCBmCNBhjJlbRUNJgARIgARIgARIIDIE6DBGhjuvSgIkQAIkQAIkQAIxQyBkh9HWUo6rhqQhXf4NuxN1HecNZV59/lVle2DzPruzFnmu9G+rxSnv8AD7AdMPcL7xYDt6WhZjjLB5RH4tOuzGUwjfGWewp+xGce8yMLX2GKLaVD1QYkErPW3YUVuLmrJJGOHStetzdBGqazdjR1u3ntzqjONPjzacqi1wPLfi+j6fPeUKcaYRndSCiaYua1gWGiXoT6dG0wlX/AR4Lswuq2KhfPaQDzXpgUPshOwweiRoO4BVpVui3EnysNj0HXtnExYubkQXhqPwwbuRnmT6JUxMcCCyy3+CnOSP0Vb9c2w26OybaEj8JyUK3+3SSRyVj9KKSlQ3tPf9cdTVjJqKR1A6+TsYcVs56lo6Q3biQ9cjNRKUOFkWGsIWuk4NXc6EyHH8XESorDLhppiaBDXZF6e5DqNI33b4CZTXx0FtVV9WOo6cwd71T2F3FzCoYAFmZl6k45wIR0m9GQvLRiOZLziLboT4ldpWi+KJt2OhLyfRz1Vt7Q1YXjgJUxb/GqeCrvo1SY9xo5FutO3aGwJPPzfLz+H4Kws/wI4Zme5aaaVVKX0qak6fQcv8MZ7Hh/wA1W2f+iHjfdgknXona/V+3DwXLlCRLKtcNhj9tKO7aWbf1hpXq43H53DcUNWq80c4NenrTpjuMAKJWlslq6/XYGnDu0ByFqaXjEWKL+JRd6wf0qcVIm9QcoI7+1bcGKGJ1rW4r6ASLV0XOlskZxSgbMkaNB45iY5Tnc6/k2jduQaLZuVikNuUj3H02Qdw96yGIJwcM/UYDxo5j47aObjzgTl4YNWb6HEztvJLvJWFlyJ/U5tKs0K7HY0oGTwQOav3ex4/9SrKdP1gNlOnVt5LX2nHw3PhylckyyqXDcF8JiF1ykYcc5ejrvLU1+dxvFGehcCNftSkvzthgcMoLmVrxeaafWEqlP1lLczH7UewcZlsik7G4KIFmJ7eL8wGhHC5lLEonpElLBcvuE3PYG9P0FVaIRgRh6f2tGDF7BocdfmKyRmYVr0DB16sQklxHjJT1EVXElIy81BUXof9RxqxKHewE4gNXa/9AguM1tqbrceY14jr5X4eR9eXoChcfXYTsSw08iibrVMj1zYjbsw/F04IkSyrzLgPZqZBTfqlaarD2C83H5NETZXwGNHVUIEVLWf8Xji+AkS1+K4a1J8WnoGoXbxn6lU6fsVEEwHxMs2fhrHy1nU14uGaIzqr7Y3moUcMsrkO6SPKscflRBlNImbii07xlRXY7qpZTM5EyXP1WFGQGbjmOSULRRt/iZUTXE6j0ZoqK/QYLo1YeINTxqNiaykyZZ/dimLMbuqwSOdA4paFRu6fFTo1cn0z4objubC63IxkWWXGPTAzDWpSi6apDiNSJ2JR5VRnk9q72L54DfYkQm2V+EWyac3ryiCG5HHTMDmWahdd6hD37v6i4WLPhtM7m1jL6OIS5Ke9YxfW7RTdE5QtBTkrnkRZVqr+1JLSkV+9DNOUH2DiNCM1VVbpMQ40kpReiLqaO0UZdRq7599nndOYqGWhfoUDVunUiA1mxI3x5yKiZZUZ/M1Mg5rUpGmuw4gvISVnHn5RcLnjoqK2amllS9w3Tdvbf4NfydpFUXc09ubRCOwWiM73TZtRV1WkTL+jdB53d87NQF7ZE6ir36Oz39p5nGr5b69pWkQTc9Uz2NPpmOJIPd2H/+lTLkLGhBwodVpdL+PZ5g81hcNALQKfor2xEW2uWtTBd+D+vEu1TvAdlpKD0tIbRVcBuYla+53b0dIduLuAcT36vnzfo/GgEdH0n7MMzywRA72k07iwFKtbzZzGyEUtMctCV+71fBrXaTSWmzKnsfxcRLas0qOTcMYxrklpnVm6NOtdLm2yRpMmO4zSUDHdwOIlzpqRRGia/gAvPPmcePWILfka3HTjJfKbn010ppUjZkdfh6nzH8Hy9c2iz6P3JgY6NDyG5Y8UInfMXOxwOn3esZT9nlbUzRiP3MIHvaZpOY2W9Q+haMJdqDbwMkzK+D5uGSzdkx7s+/UB8RhwC4qA/Y/Y/T+dzlNFn9Yffh8Z6u6KuhMVHbpvnOjoKiDPsR3Ey68HcuSN6FG3Ie6I8aER0YxY/DjWyx+2tjbU3FFs6Dlxwwj4JQHKwqQslP32LdROMfqDyIhOo7vclDKI2eciomVVwAcozBGMaFKaZqIuTX6XS+us0KQFDqOw1N0RWJod503Ttnfw1n7nmMtL0pHmMZBB5v/CZu+oR5HXiNkLoT6+db2E0nv+C22+KpXsx1BXOB3LmxVX1cfJ4pDyMpyD2uM6p7dI+jqGXvFlJS3b3lfwho7aLN8XTvCjPe/ixIeu6sU03DLhW8H3aU0djZvGucbbf4LjJ/+i3e/OgB6DuktxoxHhzC3f5OgnaqXTmEhloRFBGdBp1JebMt+x+lxEsqwyopdwxDWgSWmOabq04l0uDbRAk1+S6Zq/iV/whQ9hwcsFWH74YzGQ4iWs234vxhWPCP7FKY1sr0TukErzzQ0hRfvbb+FNpeU3UE2S+PVS+ZS7mVJOrTLvR3fg9imegyDsnXvwTMNW1LlqH0+3YHf7XGR6TFEhpgip/zlWSbbKdjFGFszFT2fdg+w0OTpbVm1vwYa1T2B7+wGsXuGMFvBjIK4ePQxoPuiuzco3XHMQ8CLhiRBBrdjfO4HjLn8x+XIMvexfQ8iz6p7I/qX7D+N9ZGGInxT169FPAgEPq+xx1njGrEaUfqLVONlVgpp2R00jnqs11tc0IK/EKQsDolBF0K/TWCg3ZcZi87mIWFkVwfJZJUOPr/o1KU8zS5dWvculjeZr0iKHUdiaNALTV87FKxMrhZPkHOWZsxlFsTggRLL3udnw/qFWR3M0vozhQ7/u3yHuPoCX9zprIgfdifXPPIpsH7WRSWnZmF7+bQzpnoYiOacj/ooTfxLnqR1G+x/Q9HSrMsgGEM7irBr8svw61ejbfhiSU4wVN4zF0GlOp92n/d4Hk/GN9DT0w0Hhcrpqsy71nyfv07mvEPjnubP4yMUiqT/6fyWo9mhXCgY+DejRQKqeUUPUiFweLLsSRz0TjY49paaxEH97ai0eGZ9mnu4Toiw0cgsN6DQmyk2Z9xCfCyP4TIwbubLKxEyYkpQBTcrrmaVLy97l0kjzNWlNk7S0VWxJ6fegSq4iInficiWRT9B54n2ZO7H1Q2p/jZVdUvNRe8I5meiBSp/OoiMd+T8FacO+5tw9jzNn//dCkPhme6MBTyuDbMTO4Lvx0AK1s6iKKl5URbUPi6X/VMcCfE1OGwpRxyg2V21WgBMYbDEB10Ov5zIG9KgnOT9x4lojtnY8V3yv6aOn478s9CMWn4cN6DRGyk2Zzbh+LnzeR++DRsoq73MjvW9Ak9JUk3Rp5btcmmm2Jq2rYZTWCidK3TTtWCprLJ4Ptmk6YzGaXyz22xynXNLrnxwhPKqwQdSYWbH9FR3HnLWG+CaGpjn6/wV3JdmM3IjfdPwD9hMvYY1YRs739inePnjEmZ9AzeAiBWcfuJZml52+U3UfHTwUI0Sr9lEJ7OxZnBP9J4eEq4LMbYQJX6JOK8HmyYY/d3Tq1K+ZetSwNxSNpBVj16lijcSjI8j+Xic+ENr/pmnaj/ey0Mh9M1OnUVJuyuyH8lwYwRe1cQ2UVVFXPpupSXmD9OjS4ne5NMNkTVrsMAqD2Rwjb5vnJhZ337H9EM7aT+Kl1Q0XVgLxjOVn7zP0dP/dGZaK665JD9B0purH4CdFv4c/Oouef4pQnS9N/c55A4qGNfi9rAzoV1CPI9XZjtppzZjRF/jF/gPwVWHW6egzzXyLDGrEfAOsSTHpsjTxE9DkjWVhaEBjpdyUuTTwXESy3Eyosio09fk/O2hdhvFdblCT/jJrvcMorpyUnofZk7c6+uQ5m6aztxcjXacj4s/4iB+3fywq4ZxDmPulIV2ZkkbLKjFfU+0izKnY7WM6Ha3z1GHqX0JfwYD+/6IO9PHd1Uwg+yVyCweBpMuGYbjoBqD0Gjh/BAff/hTZ6j6ohow4g8MHTrjP6DdiKL7h3vP6YliPXudz13ICcVsWGiFnWKcsN43gNRI3YmWVESPDEdewJqVRoeoy9t7lYXEY3XMz7p2tLJVmO7wVtW/kYUXOwHBIIUqu0Y3WqmLcvb7NOVjF26zByJn1n7h2wBeFg30DxnUsxYQKMVq5z/ZvGDDQMRK6T1CEDyTnVOEPp6o0rJBLXN2EohfHoe5oFbIN9K3USDT6glIux7BLktGieIw+Bi0Zsdj+F5x85xPnGSn43rVXxGStq5Esx3dc59yMCV0WGrnDLDflvLiWlZssq4yIURXXDF1G77tclVGPr2FyGMU1xaoVC8WygfsKt4naNcfcjD945VFc72FOjO0kXYwBA0Q1qXQMzosBLeIzO823F2Rvq8PP3M6inAanGLdeez2mek2r4yBgw6kOfywuQv9U6TDK7e84e+4z8akx2EbM2vf3c+e05+5T0uI/0wgkfQvjf5iGmvXHRZI9aFmzBW155cg0XKOuWtdUGhdoYngDejQtr0zIOIF4LAuNUDCgU5abRsAGETdSZVUQplp6igFNSjvM0WXsvcstHSXteYPlklzRuGygnK39OSy8LQOOJfqGY8yMKuxoM3OdE7H80mstzj5tyRhUsBq/rJ6LIp/OoqRmw7mzf/PE5977shhB7epd1Y03D3YEcAb/D++dfNdPraY7Ud9fvjoAKWFUiG8joueonCOzrmwSRriXcfRcgvGCpRchs6jkwuj001tRUX8swH26cLb7W08LVq583X3vksdNxA2phr1Od3KWfKFGgsAarWWhV1Z6dmPh6OEYMWNHhFZ9itFyU2KMmecigcoqL3kHv2uWLsP4LjdJk+GrYVTujmdzTFdDBZab37XcgA6Es9jyIG5Raj1dp4nlDJs3oLT5ZbxVvz1As/nXkD4iRUwo3iVOfh8nO0XTYZrY77N5dm4dO/Ea1ZyJfSKLSqn9eH6na2k57/BkfPM7WWLN54PCARVT3+xswt6SUf6n6dFMyzttsX/6JI65OjsOGID+Ueaf+LA4LIfsHbW4XZlTVH05xxKMLTsPYuW2lchXJk13hqeOxV2TL0eLMpemnId0MVZfbWBSaHsHdpQ9onThUFJMHo0Fi28OsE65Xj2q8xDE91A0IjqIb698GA+KWQBcc5sHYYH1p/QrsLjbRLSVhV5IldUn5iv6S77KKyzkXb06jaFyUzIJ5bkImWkICUSkrArBXktO1atJeXGzdGnxu1yaarImw19/5GyOGSQzI5qmX2j4beQGY9iPYOOyRnQlZ+CO2hYcPyXnSTyExiXjMUg2my+r970sn2K7/Kf+hXAe3ef0LMH3CU52dPmvbep5E9X3Ogpq92W8viRlTMI9V1/sONrViKWVLaLh09d2BnsqKy44Hb6ieB2zdZ6EY4iFmLJnzNURdee9TIvgrmtWf9HPdM5GNItpbjoUrZxEa9McjOx+FavX7/O6B06HYJCzi4KcFHpKHoprW73i+ciWXFd05n0ofe20M/BiZJY9hOkBJ70PRo+OS5z/3Vt42zl+y4dFHodC0khKJqZV12PrrEz2xYymstDjDnuvPuERaMJOMDqN7nJTQgnpuTCBavBJRKKsCt5aa84MRpPSktB0aeW7XFpntibD7zCKOVpScuZgfq6vmjiZxfBt9vbf4FfinTy4aJlqZYdUZBY/7LBPWZZPywl0/UKQNvfgd79/x0+tycXIuHak8wUpapsqivHjVbtxSv2ClkPzN5Qj75q7xDJlriX/ZLrnceLEnz3TTRqGqXNuFU6t3ESNaMNs3OLRjC6b2Xegeka+c7UYJaKOf+p5tAKsXKMjtbiJ4pzVPzl3HlYsGK+al1JoedSN+N4lYvXL3x1Gp/p+ysynjEfFtl9gvMtpFHXCLRVTMfq2ctTU7kJbj/oEec92oa6qCGNGTVWtES66MExYilWFepbV1KtHaZw6rtg9vQlzZq7Bnk5X9bKM42szQyOpyCqvVTmNcrWiZ9GqOOEuZzzCn8fCMSgrespC9Z22d2xBefUfMCJ3tLOMUYea8V2tvXgoNyUTM54LM9gGmUbYy6og7bTsNL2alAaY+D637F0u7TRfk2FukpaZkNulmLT4fjy7Vy4b6DgSif9JmeV441S5/0vrWAc4KeP7uGXwJtSIAS+OWppsH4MbkpCaOw15g1531vYJx+HJmeLP/6XVIfbuc2J4i5iD231Qvmjm4/FZx5yjrl3N6KIp3R3H9eViXJnxNZxo7/B0Ol3BHp+qKVwCDbDwOC/Od5RZ/fO1M/lhBzqFA5jp1ccwKa0A67YBs+9cit1dDrHb2htQLf5QMU87Tbns410rsPbRm1VOqvYp+vToSEMdV/nh0fw4isSf9hyYZmnE6TTCMXPA0fUluA/eS1xq5zU+QqOjLHSzFE3Rm0ufwNsj5+LF+8+iuPmAO8jML2rtxX65KcmY9VyYSdlYWuEuq4xZZ31sfZqUdpj5PrfqXS7tNF+TEahhlBmRczOqlg10HIqO//ZO7Fm1DKubP8GgydOQ4+UA9DHSOcpMOX66Fa3v+fGAZfPTuhKM9D2IWpWsqFHK/Qnq6n+Gkc6jtndO4D11ZZRy3PHC3aY0n6tO9/jqWGe6/oEsfXNvq9bHjMoBFh55i5Kdnndx4kMbtHjJgnjD/ldRNydXd41NckYBFtW/gKZK/c6iQkSvHmXkpCzM36KuAdXB1FSNqGsaP8bR9WVY2BRoEJcOG2MsSvSUhc6m6KNXYcHKe5Bu5dtBr05jodyUejP1uYicgMNaVkUum76vrFeT8mxTdWnBu1zaaIEmrSwSpMkam3OpLFdfPI2YYQmyt6L6+uFIT89B0ZPv4Mo567B1+XjtwSmKYRchY0KOGIQitxP4/eEzyre+/8Qviaz52HVwB1YumYkcdzOlM+agXJQseRR1e9qxf9M8ZN8wHre62PhtGpfN5xuxd089li4sUDmj0un8MVbu3INd5X7Wme5joJjC5fVXsE/xd1Mw9ubRqhrNPpF5QCEgXrA7tgtmOnglpSF7QR32d7SgbtlilBVk9O3Dp2hgmbhvh3DsxSoU5aTpc/Q97oZePTpOUl4QrzzvW5Me6codKzSidhpPY/fCUqxuNXOGgj6ZiMID0VEWupqiv62rv2yoGPXqNNrLTcnBiuciVL4hnB+2sioEGy05Va8m5cXN1qWZ73Jpn0Wa7OXmIPD5od6qMcN6/+PyIc6/kb2TFv2qt/NzHYA+/2Nv7eSRynlXTN7Ye1LPOTqSNSvKZ81lvVc683VlaUvvZz4T/nNvU+EoR96vXdTbci7KMuHT5kge/Lz33KFVvZOGDuv9XvHz+nQSLnMt06OVGvmo99CKyb1XSJ1eO6e36U//CBctXkcScGpGXX59fnhF7zhxP64obOr9yApKlunUHGP1lZvyWlY+F+bkhanoJEBNaoKKYA2j9IKjaBPNc2W/Pe4Y/XqkEYty/x1Hn12IBXrmzxMdVyffPVqpMbIdbkRTu9ZAmSjKs9oUd/W1GJE7416MS+F8Omo8nt/FAJXWtbjvjidx7FsleLx6iu4+hp7pWLRnlR4t1YisaazB+oLLxQiil7D4p+vQ6jEoyCJWTFYQ8GqKDtejb5VOw31PLX0uwp2ZBL8eNakpADqMvvCkZKGoep6YeFmMaH76BbT36T/ofZLoBJtXgkJlLelOvLBtf+CpU7yTiOi+q2lVGDHoVsyeNiyIptCIZiCMF1c7i3Ow9ZkHkBV1zrUVegyHRsT0Hss3YeWEwbC11+AnZU2eMwmE8S4n0qXC2xStJmuFTtXph+N7OJ6LcOSD13AQoCa1lECHUYuOkbCkUZj5yFQxqEGMWN5Zj8aOQNOTGEnc4rg9+1C7qVVYztpFbdJysflZuGVKDc6MW4xtUeksOnNgth7DpZGkdOSvr8Wiq/uh67WnsOENf32Cte8UQ/USEKtWNDaK2SrkdF83Ybh7FaM0DJ+8QVmdytY8H98dkonipg/0Jqo/ntk61X9lc2KG67kwx1qmoocANemXUgI7jKJTaNNMscxbBqbW+l+2LfmKYbhMVxON6AR7w72YLgeq2FqxucZ7Ime/9yDCAeIX8vZ67BJTviRfPRdVuub7i7DJkbi8XHllZh6mVhzAwLvWYuvGYmRGXc2iGoyZegyzRpJGoKj+aTxWvxkVOQPVmeL3uCNgpk7DDSfMz0W4s5ew16Mm/d36BHYYRdXzjRMxVjY7b3oMm1VrR9s7d+OxsjVosV2OvLvH6h8tLF5001fORWZyDNUydv8aK6oPwJacicIl+UjX5Rz7k1O8Hhcr5iyaIVZe+dCxDrjRqW4ihcUsPUZCI2JFmElBjRKPFOxYva5YS7j8VefKRZ6TpR/f+WNl9ofk3NV461Qbaqdcak0mzdKpNdb5TzUSz4V/axhiJgFq0ifNBHYYBY/Um7FkhVgxpWs3lk/+DtKdzTHDs2diXbN0DpZgocEaDjmn2iqZpu0AVpVuQUfA/o8+70uYDgpHqOpx4RjLpecqMT/rwtTgYTIgNi7TvQ/P7nxX2CpX1ZmJLFWznUsz6UN+gOq26BvsFLoeqZHYEGlsWxm6TsOdfz4X4SYe7utRk32Jf0GOoe57OJGOnMepli3YsPYJbHcuyScnTZ73oztw+5RMHfMwJhKrRMyr7LowC2Pm7w6wUs5wlOzcibLMixIREvMchwTsbVXIEf0YPxQ1jPs35etvaYlDFswSCZAAQIeRKiABEiABEiABEiABEtAkkNhN0ppoGEgCJEACJEACJEACJCAJ0GGkDkiABEiABEiABEiABDQJ0GHUxMNAEiABEiABEiABEiABOozUAAmQAAmQAAmQAAmQgCYBOoyaeBhIAiRAAiRAAiRAAiRAh5EaIAESIAESIAESIAES0CRAh1ETDwNJgARIgARIgARIgAToMFIDJEACJEACJEACJEACmgToMGriYSAJkAAJkAAJkAAJkAAdRmqABEiABEiABEiABEhAkwAdRk08DCQBEiABEiABEiABEqDDSA2QAAmQAAmQAAmQAAloEqDDqImHgSRAAiRAAiRAAiRAAnQYqQESIAESIAESIAESIAFNAnQYNfEwkARIgARIgARIgARIgA4jNUACJEACJEACJEACJKBJgA6jJh4GkgAJkAAJkAAJkAAJ0GGkBkiABEiABEiABEiABDQJ0GHUxMNAEiABEiABEiABEiCB/weMjHlY/Dd6KAAAAABJRU5ErkJggg==" alt></p>
<p style="text-align: left;">Outline what is meant by the terms “weak” and “Brønsted–Lowry base”.</p>
<p style="text-align: left;">Weak:</p>
<p style="text-align: left;">Brønsted–Lowry base:</p>
<div class="marks">[8]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Phosphine is usually prepared by heating white phosphorus, one of the allotropes of phosphorus, with concentrated aqueous sodium hydroxide. The equation for the reaction is:</p>
<p style="text-align: center;"><img 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" alt></p>
<p style="text-align: left;">(i) The first reagent is written as P<sub>4</sub>, not 4P. Describe the difference between P<sub>4</sub> and 4P.</p>
<p style="text-align: left;">(ii) The ion H<sub>2</sub>PO<sub>2</sub><sup>−</sup> is amphiprotic. Outline what is meant by amphiprotic, giving the formulas of <strong>both</strong> species it is converted to when it behaves in this manner.</p>
<p style="text-align: left;">(iii) State the oxidation state of phosphorus in P<sub>4</sub> and H<sub>2</sub>PO<sub>2</sub><sup>−</sup>.</p>
<p style="text-align: left;">P<sub>4</sub>:</p>
<p style="text-align: left;">H<sub>2</sub>PO<sub>2</sub><sup>−</sup>:</p>
<p style="text-align: left;">(iv) Oxidation is now defined in terms of change of oxidation number. Explore how earlier definitions of oxidation and reduction may have led to conflicting answers for the conversion of P<sub>4</sub> to H<sub>2</sub>PO<sub>2</sub><sup>−</sup> and the way in which the use of oxidation numbers has resolved this.</p>
<div class="marks">[8]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>2.478 g of white phosphorus was used to make phosphine according to the equation:<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA1QAAABECAYAAACGX3RbAAAKqGlDQ1BJQ0MgUHJvZmlsZQAASImVlwdUU1kax+976Y0WiHRCDb13pNdQBOkgKiGhhBJCIKjYlUEFx4KKCFhAhqrAqBRRERHFwiCg2HVABhF1HSyIipp9yBJ2ds/unv2f8533y/fu++73bu495/8AIF9j8fmpsBQAabwsQbC3Gz0yKpqOGwEQwAACIAJ1FjuT7xoU5A8QzV//qo93kdGIbhvN1vr3+/9V0pz4TDYAUBDCcZxMdhrCZ5BoYvMFWQCgOEhec1UWf5a3IywrQBpEuGyWE+e4aZbj5rj7x5jQYHeE7wOAJ7NYgkQASH8geXo2OxGpQ0YjbMrjcHkIWyLsxE5iIfOQkXvAMC0tfZaPIawb9091Ev9SM05ck8VKFPPcu/wQ3oObyU9lrfk/l+N/Ky1VOD+HBhLkJIFP8Ox8yJrVpKT7iZkXtyRwnrmcuZ5mOUnoEzbP7Ez36HnmsDz85lmYEuY6zyzBwrPcLGboPAvSg8X1ealL/MX145lijs/0DJnnBK4Xc55zkkIj5jmbG75knjNTQvwWxriL8wJhsLjnBIGX+B3TMhd6Y7MW5spKCvVZ6CFS3A8n3sNTnOeFicfzs9zENfmpQQv9p3qL85nZIeJns5ANNs/JLN+ghTpB4vUBXBAAWICdFb96dl8B93T+GgE3MSmL7oqckng6k8c2NqSbm5rZADB75ub+0ve0H2cJot1YyG1tBsCxQyQSnVvI+e0B4DQDAGL/Qo6xFwBJJQCulbOFguy53OxWR04yEUgCWaAAVIEm0AVGwBxYAwfgAjyBLwgEoSAKrABskATSgACsAuvAZpAHCsAecACUgKPgOKgBJ8Ep0ArOg0vgKrgJ+sEQeASGwRh4BSbBRzADQRAOokBUSAFSg7QhA8gcsoWcIE/IHwqGoqBYKBHiQUJoHbQVKoAKoRKoHKqFfoXOQpeg69AA9AAagSagd9AXGAWTYVlYBdaBTWBb2BX2g0Ph5XAinAHnwLnwLrgYroBPwC3wJfgmPAQPw6/gKRRAkVA0lDrKCGWLckcFoqJRCSgBagMqH1WEqkA1oNpRPajbqGHUa9RnNBZNRdPRRmgHtA86DM1GZ6A3oHeiS9A16BZ0N/o2egQ9if6OoWCUMQYYewwTE4lJxKzC5GGKMFWYZswVzBBmDPMRi8XSsAysDdYHG4VNxq7F7sQexjZiO7ED2FHsFA6HU8AZ4BxxgTgWLguXhzuEO4G7iBvEjeE+4Ul4Nbw53gsfjefht+CL8HX4Dvwgfhw/Q5AiaBPsCYEEDmENYTehktBOuEUYI8wQpYkMoiMxlJhM3EwsJjYQrxAfE9+TSCQNkh1pKYlL2kQqJjWRrpFGSJ/JMmR9sjs5hiwk7yJXkzvJD8jvKRSKDsWFEk3Jouyi1FIuU55SPklQJYwlmBIciY0SpRItEoMSbyQJktqSrpIrJHMkiyRPS96SfC1FkNKRcpdiSW2QKpU6K3VPakqaKm0mHSidJr1Tuk76uvQLGZyMjoynDEcmV+a4zGWZUSqKqkl1p7KpW6mV1CvUMVmsLEOWKZssWyB7UrZPdlJORs5SLlxutVyp3AW5YRqKpkNj0lJpu2mnaHdpXxapLHJdFL9ox6KGRYOLpuWV5F3k4+Xz5Rvlh+S/KNAVPBVSFPYqtCo8UUQr6isuVVyleETxiuJrJVklByW2Ur7SKaWHyrCyvnKw8lrl48q9ylMqqireKnyVQyqXVV6r0lRdVJNV96t2qE6oUdWc1Lhq+9Uuqr2ky9Fd6an0Yno3fVJdWd1HXahert6nPqPB0AjT2KLRqPFEk6hpq5mguV+zS3NSS00rQGudVr3WQ22Ctq12kvZB7R7taR2GToTONp1WnRcMeQaTkcOoZzzWpeg662boVuje0cPq2eql6B3W69eH9a30k/RL9W8ZwAbWBlyDwwYDhhhDO0OeYYXhPSOykatRtlG90YgxzdjfeItxq/EbEy2TaJO9Jj0m302tTFNNK00fmcmY+ZptMWs3e2eub842LzW/Y0Gx8LLYaNFm8dbSwDLe8ojlfSuqVYDVNqsuq2/WNtYC6wbrCRstm1ibMpt7trK2QbY7ba/ZYezc7Dbanbf7bG9tn2V/yv5PByOHFIc6hxeLGYvjF1cuHnXUcGQ5ljsOO9GdYp2OOQ07qzuznCucn7lounBcqlzGXfVck11PuL5xM3UTuDW7Tbvbu6937/RAeXh75Hv0ecp4hnmWeD710vBK9Kr3mvS28l7r3emD8fHz2etzj6nCZDNrmZO+Nr7rfbv9yH4hfiV+z/z1/QX+7QFwgG/AvoDHS7SX8Ja0BoJAZuC+wCdBjKCMoHNLsUuDlpYufR5sFrwuuCeEGrIypC7kY6hb6O7QR2G6YcKwrnDJ8Jjw2vDpCI+IwojhSJPI9ZE3oxSjuFFt0bjo8Oiq6KllnssOLBuLsYrJi7m7nLF89fLrKxRXpK64sFJyJWvl6VhMbERsXexXViCrgjUVx4wri5tku7MPsl9xXDj7ORPxjvGF8eMJjgmFCS8SHRP3JU4kOScVJb3munNLuG+TfZKPJk+nBKZUp4hSI1Ib0/BpsWlneTK8FF53umr66vQBvgE/jz+cYZ9xIGNS4CeoyoQyl2e2Zcki5qZXqCv8STiS7ZRdmv1pVfiq06ulV/NW967RX7NjzXiOV84va9Fr2Wu71qmv27xuZL3r+vIN0Ia4DV0bNTfmbhzb5L2pZjNxc8rm37aYbinc8mFrxNb2XJXcTbmjP3n/VJ8nkSfIu7fNYdvR7ejt3O19Oyx2HNrxPZ+Tf6PAtKCo4OtO9s4bP5v9XPyzaFfCrr7d1ruP7MHu4e25u9d5b02hdGFO4ei+gH0t++n78/d/OLDywPUiy6KjB4kHhQeHi/2L2w5pHdpz6GtJUslQqVtpY5ly2Y6y6cOcw4NHXI40HFU5WnD0yzHusfvl3uUtFToVRcexx7OPP68Mr+z5xfaX2irFqoKqb9W86uGa4JruWpva2jrlut31cL2wfuJEzIn+kx4n2xqMGsobaY0FTaBJ2PTy19hf757yO9V12vZ0wxntM2XN1Ob8FqhlTctka1LrcFtU28BZ37Nd7Q7tzeeMz1WfVz9fekHuwu4OYkduh+hizsWpTn7n60uJl0a7VnY9uhx5+U730u6+K35Xrl31unq5x7Xn4jXHa+ev218/e8P2RutN65stvVa9zb9Z/dbcZ93XcsvmVlu/XX/7wOKBjkHnwUu3PW5fvcO8c3NoydDA3bC79+/F3Bu+z7n/4kHqg7cPsx/OPNr0GPM4/4nUk6Knyk8rftf7vXHYevjCiMdI77OQZ49G2aOv/sj84+tY7nPK86JxtfHaF+Yvzk94TfS/XPZy7BX/1czrvL9J/63sje6bM3+6/Nk7GTk59lbwVvRu53uF99UfLD90TQVNPf2Y9nFmOv+Twqeaz7afe75EfBmfWfUV97X4m9639u9+3x+L0kQiPkvA+mEFUEjACQkAvKsGgBIFALUf8Q8Sc574h6A5H/+DwH/iOd/8Q9YANCCXWSvk3glAExI6LgBIIL9nLVGoC4AtLMTxD2UmWJjP1SIjzhLzSSR6rwIArh2AbwKRaOawSPStEmn2AQCdGXNefFZY5AulAefE9lg20G6yCfyL/g6ASgOXEKUHbQAAAAlwSFlzAAAWJQAAFiUBSVIk8AAAAxlpVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8iIHg6eG1wdGs9IlhNUCBDb3JlIDUuNC4wIj4KICAgPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4KICAgICAgPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIKICAgICAgICAgICAgeG1sbnM6dGlmZj0iaHR0cDovL25zLmFkb2JlLmNvbS90aWZmLzEuMC8iCiAgICAgICAgICAgIHhtbG5zOmV4aWY9Imh0dHA6Ly9ucy5hZG9iZS5jb20vZXhpZi8xLjAvIj4KICAgICAgICAgPHRpZmY6T3JpZW50YXRpb24+MTwvdGlmZjpPcmllbnRhdGlvbj4KICAgICAgICAgPHRpZmY6WVJlc29sdXRpb24+MTQ0PC90aWZmOllSZXNvbHV0aW9uPgogICAgICAgICA8dGlmZjpSZXNvbHV0aW9uVW5pdD4yPC90aWZmOlJlc29sdXRpb25Vbml0PgogICAgICAgICA8dGlmZjpDb21wcmVzc2lvbj4xPC90aWZmOkNvbXByZXNzaW9uPgogICAgICAgICA8dGlmZjpQaG90b21ldHJpY0ludGVycHJldGF0aW9uPjI8L3RpZmY6UGhvdG9tZXRyaWNJbnRlcnByZXRhdGlvbj4KICAgICAgICAgPHRpZmY6WFJlc29sdXRpb24+MTQ0PC90aWZmOlhSZXNvbHV0aW9uPgogICAgICAgICA8ZXhpZjpQaXhlbFhEaW1lbnNpb24+ODUyPC9leGlmOlBpeGVsWERpbWVuc2lvbj4KICAgICAgICAgPGV4aWY6UGl4ZWxZRGltZW5zaW9uPjY4PC9leGlmOlBpeGVsWURpbWVuc2lvbj4KICAgICAgPC9yZGY6RGVzY3JpcHRpb24+CiAgIDwvcmRmOlJERj4KPC94OnhtcG1ldGE+CpqVPdAAACX1SURBVHgB7Z0PeBXVnfe/22zeZe2qgUilXSrEAMZasoTUBWURCMJLxUpIIIqsVkJCpGJXC0n4J1U0IQlQeCsI+UOwuC5uCAG0rQhNIvjSohjCE/URSW6DSl0QA9mytby93t73nHtnbubmzsyduXf+3eR3nye5c2fmnDnnc77nzPnNOfM7f+NlH9CHCBABIkAEiAARIAJEgAgQASJABHQT+JruEBSACBABIkAEiAARIAJEgAgQASJABHwEyKAiIRABIkAEiAARIAJEgAgQASJABCIkQAZVhOAoGBEgAkSACBABIkAEiAARIAJEgAwq0gARIAJEgAgQASJABIgAESACRCBCAmRQRQiOghEBIkAEiAARIAJEgAgQASJABMigIg0QASJABIgAESACRIAIEAEiQAQiJEAGVYTgKBgRIAJEgAgQASJABIgAESACRIAMKtIAESACRIAIEAEiQASIABEgAkQgQgJkUEUIjoIRASJABIgAESACRIAIEAEiQATIoCINEAEiQASIABEgAkSACBABIkAEIiRABlWE4CgYESACRIAIEAEiQASIABEgAkSADCrSABEgAkSACBABIkAEiAARIAJEIEICZFBFCI6CEQEiQASIABEgAkSACBABIkAEyKAiDRABIkAEiAARIAJEgAgQASJABCIkQAZVhOAoGBEgAkSACBABIkAEiAARIAJEgAwq0gARIAJEgAgQASJABIgAESACRCBCApYbVO6mYtw2PAnJOv5S7itGZfW/o7nzaoTZjCSYB91NKzGBpTMlqxouTyRxKIW5iOaiyYxBKuZUn4ahUStd0vT9jFfrftSU5/mYBcp35Cws374TDa1dkaeguxUN1dWoLJqFlN66GZ+Himqd8XdWI1OM575qnNWZMqmGbytqhltneP2nm6lF/akJH4L0LcsoFnRndF2TBSHdqaZtN85W5wTuFfJ1rS9qTcpH37a0bQq0wWJbp/Ct6f4aC9oNQqWmq6ATI/zRV3UX5X3cQToxrS6oKcby9lMtMdEeM7sORZu+3uHtr5OWG1S9EWj57W6rQ0XJU8ib8s/IXPlrnLXAAvF07sXylfU4j1HIfWo+kuO0pFTrOYMxpfjHyIi/gtaKZ7DTZaWhqDWNOs7zuNCwaDLSZz+JddsaGTPJx92GPWVrUTh7iv6yY43THm5EjclCYUkpKuraQo2X842oLOHxfw+8Y1DT1NlHDNQehuZqsec6xm2Rvo1jaVFMNtW16LXdx7RmUXFLL2PH/VV6fTO2o9dVuFT1Qd2ZdR8Ph9JBxyOuCza1n2aiM78OGZ16++tkTBhUPdiv4L3/eALzVxxGd89OE7Yu4ui2F3CYWQZDcpZhUdo1xl8j8R4sLxqPePdxbCh8yeARMOOTqxgjb4QXP4LCQ+cUT/Ef0FN2/ClZNfJn3I/lckaUwpV4Y7gudxayLTK6FZJh8G4LtGhwin3Rkb7NoGpCnHbWNYO03Ve0ZkLp6otSTxutL2ZrzzZIV+ES3Zd0Z8p9PBxAJx/XWhfsbD/N5GdRHTI6CzbXSXsNqtSVaDzbCZfq37uo3/goMobEC+jdOF+3AVWtXxpdFEJ8fJhzE1bXfQzEp2NBwUQkmHKlAUiem4tMli/3yedRXBuLU/+uwlW7GisDxtRQZCx+BjXNHwbK9ExzLVbkpMJferzsSlDWdFGFKOPfshmP5JSi6XzPZLr41BwUrdqE+lMdgbhdZzvQsm8TViyeiiGBGIWGcHGdJSOZgcuycbGuvYtCpyTKTrMZhUnlLRpG0qzSYk8ujNsifRvH0qyY7KxrRmq7L2jNhDJ25P3VhHwGRWmkroIilvnRV3Rnxn1cBpedu0ypC3a2nyLMz9CwMC0wLVp9mu//RoWmfrOVdUjMh1Hf9tZJew0qTQwTkZZdjO27n8O0gFF1BrVbDiKKt3KUr+w5hao1fKpfPIbmLcOC5AHK50Z7JGEi8hemsyuxqX87duFotwVzGaNNszS85wPs/UWLMA1vKKZtfBHbix/GlKQeZnFJU5BXUYNtOcOEkB9j/8tvKZdddxPKHqvEe6ItFZ+KuRUNOP5qOQryM5GWIJ17GYeEtEzkFdfg2Kl6rJg6VLgGM9wOPYdllhqpcUjMrsJp1YcD4sODMzhSnA5pTqRYA9tWajFwUQM3SN8GwjQhKjvrmtHajnWtmVC82qK0+P6qLVGRn2W0rsKlpC/ozoz7eDhujjyusy7Y2X4G+H0LWTtaJQ+ZxT6G3PcbKErTMNvK6joUyItBGzbWyRgwqPyQ45KyUVI4WRjpANzH3kab2Ok2qBzARxn2V6L2HIuYjU49NOe28J3eqK7NrOmsuZjIh2/O1+PpylMaRi0iuWA3c4JxB5JTitFsIDNP22/wK86Kf4bei4LMZAVe4txW/6nKZcdeKiwtwR5xZCo+DQWv1KIsJy38KGFCOvKqXsT66aJRFevvp1mtRX/ZGPvfCn2bo23OwXh9G0s3utjsrGtmaNsKrUVH3Mmhrbm/mk3ADF2FS7NVuqN2LlxJGHVcW12ws/00Kqdy8dhRh+TSEc0+q+pkaBpjxqAC66onjr0dKWIerjILXOzMi/ui/WaW+Y5Nb/pGXOLvmovZZo5OiWlNnIEf5Y1iv9w4t29vTI1SxaUV44g4IvN/i5GmNuRy3UAkqh1nBDyu/di6j0219H0SkFG2BUXpicJvDV9xyciqWIO54kimuwU7K98y+X07DemK5BQ7tBhJOsOFIX2HI2TLcVvrmlnadrTWWEeFTwkemYWKFlPmVkSpIwvur1GmMGxws3QV7sKO1l24xLOelcH38fBXdPoZ4euCre2nmfjsqkNG58mmOhlDBpXRxEPj63kinYCJ94yHelf+Ks42/Xuom/DhozBh4TrU1DZrfIfnGqROz4BvXOX86/iPxguhCesLe8514LTozPCGQUgIUd6XaKuvR6s4gjb0Afwo81v6c56QgcLASCab+rdvD5q6YmwqJcu1Pi1yTF1o3btTRo98iYJUZBY9r0OTfm0Hu6ln01PLdwWWLpC6pJV3Zy0WHelbJOGcb3vrmn5tayXnZK2xTlpmAXJvfB+Vjz2NBkuXANHKL7bP068ruXaOt5VbA8t8aGvnnKw7g8s07H3c4Os5Mjp7208zkeivQ9TvkJZHSLdWetBp257uS7hsWqI+w4Etr8Dnqy7+dnx/8o3KV+puQc3CaZia+1Som3A20nS+sQrr1uZiaoq2p5FxqXdj5lA+768bb/36uPL7RcopcvYR7kFo3S6850vltUj74Syk9h6t8nyIw691Cvlg76/94O7QczTlknVcJs/wT6Pk57tP4PU3Y81I1aFFNknU5xFx/B2Ys3StjB45BOaoo+5nfk1OeFy9MyfRdrCb+nNo2vZT5E1/UPcTdtI3LwMHfWyta3q0rZ+Zo7UWdxuyf8jemT3/SxTOK1Svh/qzHnUIc++vUScvTAQ6daXYzvG2cgNbhiMTj+51aZ6C72jdhSGn+bCW+7jmyJx9ompdsLX9NJObnjpE/Q65koghg4o9FTjU5Dd4eE6GpiP9JtHzn1zWdO5zf4R3jgnO2G9MRlKQ8wNpXHzu7FKsawznJpyFcbei8oElqAm3zlTcNzHilq/7LuI+ehBHYnBERUqoZ5s/vdiK5bNnB9yqx499HOW5KaHvWnV/jPYL4vBUEmZOvzX0nJ6I1bcSx+P7d4m+Gf+EMx3/pfnGqB6xRUc1a5FPk6xFXi+PiKqp5J25h/4PWuUG7TynUZO7QF3bgqarz+jwskn6Vi0Syw/aWdd0aDsiLo7WGpvbL3h2BauHK/9tK1oc44jI5PtrRIWpI5AeXWlp51hP4/DShVh58DNtiXC07rRlQfksHfdx5Uhi6EiYumBn+2kmRR11iPod8gXxt/K7nbfX43oZJTVnhIRFM4IhnzfP++/gd74paepxe1pr8TR3qc4/3ANd0RN4NHcKhgdGXHjjU4MX1u/wu/1m7/G8VP8BFqh6dRuMseNHAo0nAiMqWdkRTHfzp8r2/3yaxJjcOogz/PwJuhajHyzD5mfvkbDqSarnk3acEe2p+GEYcdPf9RzUvSXhyd9NO3YSnyIdw+XiaSvF1OGlckds26dViwB7olT6QmCaJHct/+QPH8D92cFOPDydzdhV9zJqxEWXzzXhcNvjSAvy+MNd5z6DDSevCPlm5ZXzOP5t8UOC10Y+PeYlbN/8PPa0HcfGMj14JOUhjBj2N32H0LJRd7bVNQZBu7ZDiGnc4XCtsSnJy0vn4K3c3TjftgU5M85i/e71yJJ4RtWYUUNP03V/tVG7SpnWrqtw7Rx/8n4AVVs2obLxYxwQ7/VKFw7sd7juAunUvhHJfTwodgfqJCh9Cj/C1QU720+FJBuyW3sdon6HEnCHj1Dxxm0/arYXI3tGaaDjaLwHPjc+fbdFGP36OkaN+KbC6Ij0PO5WfQ1K8qXGFMcsuN58uRBpvgE01qF/7TdokxsRCJRKPP4xOQl+Z+MxOKISyAff8OCPly/LjAhdj8HXf4HOT4LNLDHoXy9fwhfij7iBGHhdwEIV9/aTb6nG1LTIcHQdx+tHhVHVIfOwbVcpCnoZUxwad12/oHgdngu4rv8c7b8XwolUg1znMmNqcSVerMiXuMAfgOEZ+SjbV4cVY68VQ2n8Jn1rBGXJafbVNR3ajpiE07XGlnrIeLKnLvqm//0YNa12OKqw6v4acWFqDKhDV2HbOb4URxaKgjzGakmG03WnJQ/ScyK7j0tjiK1t7XXBvvbTTKI66hD1OxQLwt4RqoieYLD1jsqeM3h9qD+hs/1TAdIAJA7U4Kufnf2Vy4VPPWzkQ6bvH5ecj/r2fEXwvQ/EJ40AG6Ni7xmFGVHpHdBxv/+KK5euIHHqIiwYfwM87b/Epro2nivfOzhN26p961VtzVZysW5EhsSb24leo2RGxG12HDq0mJiF6vYsjQlKQNLIb7Bz+ejqVVy89D9B4dxH6vAL0Wvm0Pn46bI75F3Vx6Ugr/ppvD1+KZrEEcWgmOR/kL7lucT+Xj11TYe2owDjfK2xZSRWrsLco4/5l4g4fxjrci6g84XNWDstSeFhXgRAHHN/jSDtuoJo15W0nePTzzcqtnN+j7HvtAllpCE9ztedhkwETnHCfTyQmOg3HFsX9LSf0WNQjkF7HQL1OxQx2mtQKSZL4QCbYveA0Tcd36U+h+u0+MT+2xiR5H+fKTQV8fj299KZR74TzDzgi8cWY+qEQyhYOA6D4kbg7h/2Hq0KjUFxz9ARSGFDVO/xAZxLzPkGG9GSM9QUwzvmQDyG5+/GsYAtmY+CdZ1o3lSC1Vsa2YLJ/rnpqwbuQVnGYJNS7cYfXJ3ajCm+gvqr+fLTARVSJz8VQuFk3bu1alFLxHyaXj1+4/pzwLCVD/Ul3j9xSuClPuXVF154R62pUawz8rEG7SV9B+GA43QXnDztv3TUNRipbZUUxoLWEqahhM1i6BBnXrjb8Er+w/h81Wasz0+Xf5ihkmVDDmm9vzpOu1p1JW3nmCff+TORLPMwNMAyYQLun52EPdvEVw0CR+Q3YkF38imX2WvAfdxxOpHJptIurXVBKbzm/XraT82RRnCi1jqkJer+2++IAYNqKDIW/yvGDR4VncGiRQcazolLnYWHxr6MdeK7JucbUVnS6Au5bi37GjKVGVgTMOJ79yErTd3xuuLlvriE7r+yo2qNvSSw9g5+HfJG1klChm4OyKnFqYopgQWUQ8+IYE9cEqYs24Jd1y/AzJLjzBT9GHvW1OL+ST1rV31t4CDcwKI+F0H0FIQR6G5Fw553ccnTgV9urMN7OkaPgL+gu+uPAsZE3HF7uNFDyfsCkcDXoW/Ha5vnX4O+I8FkVph+Vdd0aM0s3krxxiXnoqayEzP5+1S+k9gofsk8zDxeiC0bc5Gm6BhJKcZI9jvr/hpJDrSH6Ubnmc+F07+BkTcnhAl6Db57+xgMYAaV/ER1leA6dUftnApLyw5pqwv9qv0Mx76P9jvCZVvpuL0GVQRPMJQyEtV+zxU2KCS85DSArdvjc2GuECOf8lRbiUsPF6CyTXyBX3JuwMBai0JuXBU+hkUy77VIQvSTTebhKncZcn8xD5V8alkvxwhxN43EKPbOmW/W2dVTOPH+l5gS5DRBD6aLOHm8PRBgQMoI/GPgl8M39GjRlxXmBKV6BZaUHBY6ZZHkT/p06joMGvi/wkTilGkKYZJp6WF1fVualDAXs62u6dZ2mIyYcrgbzUXfR16d38Qx5RKqkfJlN0oxZ0Ynag4+iynRGFVOub+q5teAg5p19T+4dFE0ja7HoAR2w6GPTgKx084FZczAumBb+xmUIYN/aK5D4nWp3yGSkH7ba1BJUxJL2wl3oOjVd5DDplO9cXCP8I6QTAa4cbX0KA68vRW/qphm2jSO+IxyfHC2XCYB4i6hk/DqXah5rxxT7LqPiK5lz/GpYn/Epct/Yd/C+2oJwzDyxng0+SwqwWlCpAaV57/Q8dGfhMwn4M5xtxg74iZitf27Cy3l+Zi/rZWN+sl9hCdug76GuORJuMu1GtNLmCfJkM8/YNBg7hJF7GyEnGDbjpjRNiekpm/bCMpcmOqaDBSH7er6wjft22GpouSYRIDaOZPAmhFtv28/+36/I1LZkEHFycVdi0GD2Pw63pm/2gkX+56SFM7q4F7P/hUF/K9CnDN6GR2vVTO30tKRK/bEsa4EZTPGmPjOUKTFb3W4azAwkXfcZT5xt2LaD5JQ6Zuv3o2mTS+hNbNnSqBMCIVdHnTtr0StzzBjp4RbpFkhFtt269Cip7UGPwkYU9zNeT7uHfcvmCM7IurGWZdSrqTl0svQlQ2i5AFK9uR+tFPK0cHZtquu6dC2ffQSMKXid3BVWJEC5lms6SnJlD9+zXg2a9zKKX9W5NPka0Skq//GpW7+GCrcfd7ktMdk9DHSzpnF1q7206z88Hh11CHqdygXhMPdpisn3FlH/MZVXv7jKHu1Da6z76J+46PIGCI21p/hdyc+kXElrpCLGwYhwfElwzro1TlIHs6mSA4fhUnlLRryJ51a1jvv1yAtrwAZIrJzbN2x2tMa4uwVT3cT1q9/MzBiE3/XDExK1PgyWq+onP1Tuvgg64TlbGRuzh9HnqwxxXPixuVL/62Qpa8zD4DfFo51Ma26wnD/f/ik4+MAY4VIlXf3S30r47D+SD+qaw7Wmm9xzALx/SmuAjaivGo3frUj36L3p6xXnr1XHIr0CTcJSZBZOiIkcVInFiEH1Xc4WHfBCTf6Ph4ce9/81Y/az5ACpH5HCBLJDsd32yVp1bl5kc2Fn4zkkYvQ0CW8H6UYwzeQnCK+oPopOjrF6WK9A5xBzX23+o0I1Xj9a1G9UDpbWFvKjS/YS//cz4Ti51wHToszrgYNwkDH2wDiezQ8R1rW2mIrVLmO4OCHQibjR+Of/6nXekaJE/Hg7GECoitorViJjS061mfxuNBQtNbvipjHEj8ey1bew1YGi6WPVi0GO5KYOON29Sml3cfwn/s6FUCI3iv5YVaW+/biaLdKnVGNS+ESpG8FMMbt5gs41xTNQorvIQd/0DER+eW70NwpNiySa9lS17RqW5LOSDZjQWvdh7Fq/vqetRWHTMOKfftRbZeHv0g4GxqGvZNRtxKZI7luRe02oFWtHQpcX6uu/g43jRgmjEl1462XfwWXSjMHz4c4/JpSmxm4eM9GLOiuJ7XClgn38ZBrGLmDzwaqxvL7UgWdMK2Mz0NFbTPOqpWlkUngcVnUfupq06PKo9Y6RP0ONcx91KBiq6FX/xiLNa9yLn1CfxVdl79UYCZ5wuV+ExvLm6DsOPoqPnGJo1LxuCHxOqjBdnd2oN13Vea2esJYfFshBU7aHT/2bvxAHIULN6LkOY2dhc8LHQg2ojJ7LjJCRo6E9VnEON2tqMzORH51iwpngUh3C2oWPYLCQ6KfwGuRVvRTg9crs4K+Vi1K0/IndLjOK48qdf8OFQ8v7TE0pUGFbb/3SsHAPV+P1aVK2mYPKkpLVOOSiR6kbzkqxu3zuKpx//RcrPOt+SbG61/7LW9eIRpCjCo76lok2hbzwmZj//YdvK+h0+R8rfWqQ0PuxfrdP0depF5hexDF6BZ/+JmNOUW7Jd5JuXaXMuccT6E5rFGlVVdxbH3EucgU7i/uk8+jWHEWBHtPZENJz9RxDWSdrzv5TBh/H5e/TvR7eb9uAWbklga/VsHfVV9bgPmL6yw0qsxvP/W36dEQ1lqHpNegfoeUBt9W6+P3PjdmfntcL6G4grvn1vqRPqHvxm/f/kgh7DVInTMHab5pafzdqMcwc+E67GzqDOrM8qcKO8uX4GGfi3CehiTMnH6rihd06VoEX8eoEd9UOVdrniw4L4E9AV+YLjzxYyNKJfl4tLz3U0XhidLsnB5X8/HpWFAwUX5Eha/Psvs5TBONKr4gcMkcjL+vGJXV+3s9sRRWNy/Pw4Qxc7CuUTSmmME2fTU25KbEBsegotKqxWuROm50MPsNh4NvKNyl6fZiZN7+YC+PlFfR3v6HYI3HjcScJfdiiC8torbL0dAqjhBy1g2oWJjFPKDxxYH1fEjfemjpP/czHCh9gT2sYFPGllShka3B5jrL/zrQsncJRne9gY3b3gp9KGF5XdOqbZGA9Hy279wOLFm0SX7ETQzCVN2zBp0T21L+3tQmrBbqUHzqEtQd3IysJIV3SwP56rsbntZaPM14xKc+gsrmD/3aPVWPFVOHAuzhztOVp4Lur6EkpDpRu3+zkCH3rBxkF1VLNCW2c5nICbyfGnrF0D1O111oigN7QpgYcB8PRG7gRtevUcb7dcx78mO1TTjja+N4O/cu6hZ/F12HXsD2IxcNvGCYqExtPyNs08MkWfmw1jpE/Q5lhkDfc0ohjIS8fyvzavb5b3FU7A+qUWDH4lLvxsyhO3wuvf1PQqcgTWbaXVxyFlbkvS54VuMubqvwHP9TjJ85C1j8NBapeqyTuPmOKScK3IXqcyg9IY4M+Z8q8ieLip/4NBS8sgV5ycodiLikHGzdDTw2bzUOn/ebxe62OlSwP5Q8qRi1/wDj/WAZNj97T4wujKxVi+LT1jeF0SLGfssi9hcGj3DY03WZ+VlkMxcCp8chIWMpfr74tETb21HYyP4C54gb1+I7qd9Ae5sr2CgTD4d8k75DkBi5o+s4Xj/ajfipT6Fs2bTgMh0zGXfeWInK355Ep2daSJtmdV3T2s6KeKTn8+mo5xvZSA77U14vz+Fa85xC1Zp63xIH3Jh6edcTSI/GNboIKma/xXcyRqHgmULcLRqWCenIq3gSb49fiqbXfoO2Zekh2pVmWaoTtfs32CT84HvWFbxXV8oeEpVKo4tg2+G6U81RbybG3MdVL6n7IHM29eZBvOVOQEbhWvwk41uSGBIxZvo43Lhth/9d9YzBlj1INa39jKJNl4DRtamtDlG/Qw1qHxuhYkPCtc9gw3u3YdmGPNyqx1wUPLf4YJ1rQcsnSuNbiUhfthFbHkzV4B9I6Nwvu0N+NEYsGaHy8J8x50QhLhlZ23ahUgsP/p5AXTWK0nu68SKC3t+8odp+7A3ULJkqjJr0PiP0d3xqDlbUHsDe0tg1pny50qrFhAws31qA0aIjj1Akwh7uOezHqKn9CUYLe9wfteOTkOlTTNvF1di9apoKc/6AgHlRfCJd+02L9K1YMoYcSMxCdXsnTu/IkhhTvWK+4EKnwtQpS+uaVm2LyY9Lx9KXpCPW4gGFb0drTeKBdMg8bOv3xhQvQ/aCf/EbbJThDRQpPHSMv2UkbpJ5uBmkAD268t2zXsT66WwETO3DpmKWrLpXeA9a7UR2zNG6C5N2ftik+7iGK2s8hXXks6tw+mwrqrOlxpQ0uBsXznwcOhIvPcWEbVPazyjb9IiyqbUOUb9DEW+fMqj8U/0+wHd97878vWKm5Q+w6XzTM5ifJf5px9snVYaO45Jwd2kDju/bhBXLc0I7tHxB31XPoqb5HewP27kXn7zw6yZg4j3jlTtF/BQnfnw8DuCD5lqsDuHBOuA5P8GKjQ1oOV6l7z0BFu+UZTU45mpCzZqVKMqRMWJ9rNdg/b53cfrVcuRlJGnv6DuRpS9NWrXIRpXSl2L/iQasX7VI4lVSyFhAh204tuNJTJk0DfeOvdZ/0Lewsty7gsyhSn4VjoaUJTfKHmWcm7G/OMwDgiCupO8gHFb/6P4Y7Rfc4R/UWFbXtGq7B5Svw3LwP+U13nMa23K41tjo1I5Nb7IpS/ydqTXRLdoblO++98PTeRg/K9qEJvcwZM6fqOGeqFNX3ICoOozG2mdD7iv8wVzRmlo0Hnse2cnCOomqiB2uO9W0Sw6adR+XXMKcTTZN8/cuXLCz/2RZ+8kIam3TdcPWWoeo36GI1ttXPl996K2ePdp7y+wqb8dXLFNfvestnzDSe/OIfO/eL/gODR8hjpuHDe+JR0Ow6E75g3dv7hgvv+bN41Z4my5rTGt0F6XQTidgixa1Q/lLY5H3O1yz7O87hU3evygGJX0rojH9wJ+9HVUPeG8ZNsabV/8H06+m+QKmadvJWvvK+0V9vveWEbO95e9+oRlVfzvxq5Nl3ruEduXmcQu9Gxt/79V8RzRcV0KZ+dKT4p1V9ZFCcThZdwpJ7ku7xXLX09eL2fyb3KaLLJnmA31pB7Fyer+jj4xQSab6rX8IyeGmByiZl+zF/Nnzx/um8rlP1mNvm9wTfKXAEe4PTBVgXukWPoy7+vV8+ggZ9sVgdmjRDI6kbzOoaoiTPbVt2YqlFS1InL4CqzKVpsloiMroU8zStqO1JkxZam/QNOXZaOQxGR/z3ra14AmsORzs9EkxL2F1xUaS9i4KLCuQsrAB6q9YS9fbG4DBg/5B/tKO1p18kvvOXu6NcSU2nLwe08qKMSvEc3DfySkfgTe9TQ9bh2KEp011sk8YVMFT/ZSdHYSXArvpZRYgdyh/KaUTB3YfM3k+LjMEG/awFy3Z5dg0kMfmjuwD09XCU6YztBCwWota0qT3HNK3XmLGnM9vvJvxyANbcPrWAvy8ItthDlrM0DZpzRjt2BtLXFoxjogeKvetZEtrfIhXfrQSO10ya6mFJDWcruJw3cCBgXus++ge7FOJ1+Nii8vXnPFfRdFZFOkupBgs28GMqfJ85kSpAymLK1CWnRwoW8uSYNmFrGrTw9UhyzIcxYXsq5Oxb1CJXv1GP45yI9xkx43BorVz2Ev5zKPUvlrUqzS4UZS4P2j3W6je0cKuRKNTUbPsixFYqUUz+JG+zaAaJk7pjdfBXuSM1jZpLYwuYu0we08jLRdlhZMR727BS/UfhHGdLuQvjK7i/2kc7hSd+LiPY938JajY2xr84FRYbiJ7Rmlg4WVFZ1GkO5uEJTWmKvGirvd6bUpyxJe1uE0PU4cizoZVAW2skzFvUHnaDuClk1fgPlmK6cniKuvsO3mOzwU63IdRmD4C4Yf3xdJmDfmkh7GAv7zPGvKdlTLrt4inRvXNrOg9tdjP3ILHjzXIGIwqPRTYeQSs0qIZOSd9m0FVPc4utFYvxszsSly8ayV2O9qLnJHaJq2p66I/HQ2jq8R7sLzIP63fR4UvCrs0C+nDJX2HMVkoLKvrWWSYe2TcOEvGMQbpzhZldbegZiFfJ+wiJq7a2ceNKTva9DB1yJZC13pRe+tkzBtUWjHrOi8uBQvWP84W8DVxlEpcpI6ty5S7Kivy9750ZYxOjjkCVmjRDCikbzOoKsfpcaFhUSbmsMXEBz+4GS9X5SPN6e9jGqVt0pqyLhx/5DM0LExD8sh5qFGcDaJzgWZVXbE1l/K3hFkaogeab7FhJY+MpLseUBZteTrr8OiMeVh3dBAeqN6F7fnp6kvSWJQuUy5jZ5uuWodMya0xkdpdJx3kwMPYpETi5S8oBX/2dtYv8d5pireTz71NhZOYh7TR3uyqD7V7MQpKH/3oPwTM1GJkFNW97ZC+I6MaaSiR90jvnYWHvJcjjcaWcNFqW8w7taW2FF/UFxU96THt5lZ5Twa83DJdNP7MmzeOeeqNyPtteF199fsmb21Vqf8aomdB3/e/ePPKtntrVT0Mku6iLnq9EVw+5C3mehg2yVvc+Lne0DF2vqgvO9v08HXIaqhO73f8DQdijGnosFg8LaiYNA+VFyZj/fFtyOrT3l8cxp6SQwSIgHUEuhqQP34pW7NH7ZKjULBvn+LiqWoh6RgRMJUAfxK/+BEUHjonc5lhmFu7B2UZg2WO0a7+Q4B7aFyMCUsPs3fOVT5DH0X9kWKkRerpWSVqSw9Rm24pbqMuRlP+jCJJ8RABIkAELCcgXVTU8ovTBYlA9AT4IrvbdqFmVQ5Giw4jmKOm0TnL2ELie8mYip5wH4jhAo78+oS6MdUHcunPArXpsVqUfXeEKlZLhNJNBIgAESACRIAIEAEiQASIQMwQoBGqmCkqSigRIAJEgAgQASJABIgAESACTiNABpXTSoTSQwSIABEgAkSACBABIkAEiEDMECCDKmaKihJKBIgAESACRIAIEAEiQASIgNMIkEHltBKh9BABIkAEiAARIAJEgAgQASIQMwTIoIqZoqKEEgEiQASIABEgAkSACBABIuA0AmRQOa1EKD1EgAgQASJABIgAESACRIAIxAwBMqhipqgooUSACBABIkAEiAARIAJEgAg4jQAZVE4rEUoPESACRIAIEAEiQASIABEgAjFDgAyqmCkqSigRIAJEgAgQASJABIgAESACTiNABpXTSoTSQwSIABEgAkSACBABIkAEiEDMECCDKmaKihJKBIgAESACRIAIEAEiQASIgNMIkEHltBKh9BABIkAEiAARIAJEgAgQASIQMwTIoIqZoqKEEgEiQASIABEgAkSACBABIuA0AmRQOa1EKD1EgAgQASJABIgAESACRIAIxAwBMqhipqgooUSACBABIkAEiAARIAJEgAg4jQAZVE4rEUoPESACRIAIEAEiQASIABEgAjFD4P8DRlcTjA27H8AAAAAASUVORK5CYII=" alt></p>
<p>(i) Calculate the amount, in mol, of white phosphorus used.</p>
<p>(ii) This phosphorus was reacted with 100.0 cm<sup>3</sup> of 5.00 mol dm<sup>−3</sup> aqueous sodium hydroxide. Deduce, showing your working, which was the limiting reagent.</p>
<p>(iii) Determine the excess amount, in mol, of the other reagent.</p>
<p>(iv) Determine the volume of phosphine, measured in cm<sup>3</sup> at standard temperature and pressure, that was produced.</p>
<div class="marks">[4]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Impurities cause phosphine to ignite spontaneously in air to form an oxide of phosphorus and water.</p>
<p>(i) 200.0 g of air was heated by the energy from the complete combustion of 1.00 mol phosphine. Calculate the temperature rise using section 1 of the data booklet and the data below.</p>
<p>Standard enthalpy of combustion of phosphine, <img src="data:image/png;base64,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" alt><br>Specific heat capacity of air = 1.00Jg<sup>−1</sup>K<sup>−1</sup>=1.00kJkg<sup>−1</sup>K<sup>−1</sup></p>
<p>(ii) The oxide formed in the reaction with air contains 43.6% phosphorus by mass. Determine the empirical formula of the oxide, showing your method.</p>
<p>(iii) The molar mass of the oxide is approximately 285 g mol<sup>−1</sup>. Determine the molecular formula of the oxide.</p>
<p>(iv) State the equation for the reaction of this oxide of phosphorus with water.</p>
<p>(v) Suggest why oxides of phosphorus are not major contributors to acid deposition.</p>
<p>(vi) The levels of sulfur dioxide, a major contributor to acid deposition, can be minimized by either pre-combustion and post-combustion methods. Outline <strong>one</strong> technique of each method.</p>
<p>Pre-combustion:</p>
<p>Post-combustion:</p>
<div class="marks">[9]</div>
<div class="question_part_label">d.</div>
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<h2 style="margin-top: 1em">Markscheme</h2>
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<p>(i)<br><img src="data:image/png;base64,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" alt></p>
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<p><em>Accept structures using dots and/or crosses to indicate bonds and/or lone pair.</em></p>
<p>(ii)<br>sp<sup><sub>3</sub></sup></p>
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<p><em>Do not allow <strong>ECF</strong> from a (i).</em></p>
<p>(iii)<em><br></em>Lewis base <em><strong>AND</strong></em> has a lone pair of electrons <strong>«</strong>to donate<strong>»</strong></p>
<p>(iv)<br>non-polar <em><strong>AND</strong></em> P and H have the same electronegativity</p>
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<p><em>Accept “similar electronegativities”.</em><br><em> Accept “polar” if there is a reference to a small difference in electronegativity and apply <strong>ECF</strong> in 1 a (v).</em></p>
<p>(v)<br>PH<sub>3</sub> has London «dispersion» forces<br>NH<sub>3</sub> forms H-bonds<br>H-bonds are stronger<br><em><strong>OR</strong></em><br>London forces are weaker</p>
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<p><em>Accept van der Waals’ forces, dispersion forces and instantaneous dipole – induced dipole forces.</em><br><em> Accept “dipole-dipole forces” as molecule is polar.</em></p>
<p><em>H-bonds in NH<sub>3</sub> (only) must be mentioned to score <strong>[2]</strong>.</em><br><em> Do <strong>not</strong> award M2 or M3 if:</em><br><em> • implies covalent bond is the H-bond<br></em><em>• implies covalent bonds break.<br></em><em>Accept “dipole-dipole forces are weaker”.</em></p>
<p>(vi)<br><em>Weak</em>: only partially dissociated/ionized <strong>«</strong>in dilute aqueous solution<strong>»</strong><br><em>Brønsted</em>–Lowry base: an acceptor of protons/H<sup>+</sup>/hydrogen ions</p>
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<p><em>Accept reaction with water is reversible/an equilibrium.</em><br><em> Accept “water is partially dissociated <strong>«</strong>by the weak base<strong>»</strong>”.</em></p>
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<div class="question_part_label">a.</div>
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<p>(i)<br>P<sub>4</sub> is a molecule «comprising 4P atoms» <em><strong>AND</strong></em> 4P is four/separate «P» atoms<br><em><strong>OR<br></strong></em>P<sub>4</sub> represents «4P» atoms bonded together <em><strong>AND</strong></em> 4P represents «4» separate/non-bonded «P» atoms</p>
<p>(ii)<br>can act as both a <strong>«</strong>Brønsted–Lowry<strong>»</strong> acid and a <strong>«</strong>Brønsted–Lowry<strong>»</strong> base<br><em><strong>OR</strong></em><br>can accept and/or donate a hydrogen ion/proton/H<sup>+</sup><br>HPO<sub>2</sub><sup>2–</sup> <em><strong>AND</strong></em> H<sub>3</sub>PO<sub>2</sub></p>
<p>(iii)</p>
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<p>P<sub>4</sub>: 0<br>H<sub>2</sub>PO<sub>2</sub><sup>–</sup>: +1</p>
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<p><em>Do not accept 1 or 1+ for H<sub>2</sub>PO<sub>2</sub><sup>−</sup>.</em></p>
<p>(iv)<br>oxygen gained, so could be oxidation<br>hydrogen gained, so could be reduction<br><em><strong>OR</strong></em><br>negative charge <strong>«</strong>on product/<em>H<sub>2</sub>PO<sub>2</sub></em> <strong>»</strong>/gain of electrons, so could be reduction<br>oxidation number increases so must be oxidation</p>
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<p><em>Award <strong>[1 max]</strong> for M1 and M2 if candidate displays knowledge of at least two of these definitions but does not apply them to the reaction.<br></em><em>Do not award M3 for “oxidation number changes”.</em></p>
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<div class="question_part_label">b.</div>
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<p>(i)<br>«\(\left\langle {\frac{{2.478}}{{4 \times 30.97}}} \right\rangle \)»= 0.02000 «mol»</p>
<p>(ii)<br><em>n</em>(NaOH) = «0.1000 × 5.00 =» 0.500 «mol» <em><strong>AND</strong></em> P<sub>4</sub>/phosphorus is limiting reagent</p>
<p><em>Accept n(H<sub>2</sub>O) = \(\frac{{100}}{{18}}\) = 5.50 <strong>AND</strong> P<sub>4</sub> is limiting reagent.</em></p>
<p>(iii)<br>amount in excess «= 0.500 - (3 × 0.02000)» = 0.440 «mol»</p>
<p>(iv)<br>«22.7 × 1000 × 0.02000» = 454 «cm<sup>3</sup>»</p>
<p><em>Accept methods employing pV = nRT, with p as either 100 (454 cm<sup>3</sup>) or 101.3 kPa (448 cm<sup>3</sup>). Do not accept answers in dm<sup>3</sup>.</em></p>
<div class="question_part_label">c.</div>
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<p>(i)<br>temperature rise «=\(\frac{{750 \times 1.00}}{{0.2000 \times 1.00}}\)»=3750«°C/K»</p>
<p><em>Do not accept −3750.</em></p>
<p>(ii)<br><em>n</em>(P)«=\(\frac{{43.6}}{{30.97}}\)»=1.41 «mol»<br><em>n</em>(O) «=\(\frac{{100 - 43.6}}{{16.00}}\)»=3.53 «mol» <br>«\(\frac{{n\left( {\rm{O}} \right)}}{{n\left( {\rm{P}} \right)}}\)=\(\frac{{3.53}}{{1.41}}\) = 2.50 so empirical formula is» P<sub>2</sub>O<sub>5</sub></p>
<p><em>Accept other methods where the working is shown.</em></p>
<p>(iii)<br>«\(\frac{{285}}{{141.9}}\)=2.00, so molecular formula = 2×P<sub>2</sub>O<sub>5</sub>=»P<sub>4</sub>O<sub>10</sub></p>
<p>(iv)<br>P<sub>4</sub>O<sub>10</sub>(s) + 6H<sub>2</sub>O (l) → 4H<sub>3</sub>PO<sub>4</sub> (aq)</p>
<p><em>Accept P<sub>4</sub>O<sub>10</sub>(s) + 2H<sub>2</sub>O (l) → 4HPO<sub>3</sub> (aq) (initial reaction)</em><br>Accept P<sub>2</sub>O<sub>5</sub>(s) + 3H<sub>2</sub>O(l) → 2H<sub>3</sub>PO<sub>4</sub>(aq)<br>Accept equations for P<sub>4</sub>O<sub>6</sub>/P<sub>2</sub>O<sub>3</sub> if given in d (iii). <br>Accept any ionized form of the acids as the products.</p>
<p>(v)<br>phosphorus not commonly found in fuels<br><em><strong>OR</strong></em><br>no common pathways for phosphorus oxides to enter the air<br><em><strong>OR</strong></em><br>amount of phosphorus-containing organic matter undergoing anaerobic decomposition is small</p>
<p><em>Accept “phosphorus oxides are solids so are not easily distributed in the atmosphere”.</em><br><em>Accept “low levels of phosphorus oxide in the air”.</em><br><em>Do not accept “H<sub>3</sub>PO<sub>4</sub> is a weak acid”.</em></p>
<p>(vi)<br><em>Pre-combustion:</em><br>remove sulfur/S/sulfur containing compounds</p>
<p><em>Post-combustion:</em><br>remove it/SO<sub>2</sub> by neutralization/reaction with alkali/base</p>
<p><em>Accept “lime injection fluidised bed combustion” for either, but not both.</em></p>
<div class="question_part_label">d.</div>
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<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
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[N/A]
<div class="question_part_label">b.</div>
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[N/A]
<div class="question_part_label">c.</div>
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[N/A]
<div class="question_part_label">d.</div>
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<br><hr><br><div class="specification">
<p>The reaction between hydrogen and nitrogen monoxide is thought to proceed by the mechanism shown below.</p>
<p style="text-align: center;"><img src="data:image/png;base64,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" alt></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>(i) State the equation for the overall reaction.</p>
<p>(ii) Deduce the rate expression consistent with this mechanism.</p>
<p>(iii) Explain how you would attempt to confirm this rate expression, giving the results you would expect.</p>
<p>(iv) State, giving your reason, whether confirmation of the rate expression would prove that the mechanism given is correct.</p>
<p>(v) Suggest how the rate of this reaction could be measured experimentally.</p>
<div class="marks">[7]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The enthalpy change for the reaction between nitrogen monoxide and hydrogen is −664 kJ and its activation energy is 63 kJ.</p>
<p><img 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" alt></p>
<p>(i) Sketch the potential energy profile for the overall reaction, using the axes given, indicating both the enthalpy of reaction and activation energy.</p>
<p>(ii) This reaction is normally carried out using a catalyst. Draw a dotted line labelled “Catalysed” on the diagram above to indicate the effect of the catalyst.</p>
<p>(iii) Sketch and label a second Maxwell–Boltzmann energy distribution curve representing the same system but at a higher temperature, T<sub>higher</sub>.</p>
<p><img 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" alt></p>
<p>(iv) Explain why an increase in temperature increases the rate of this reaction.</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>One of the intermediates in the reaction between nitrogen monoxide and hydrogen is dinitrogen monoxide, N<sub>2</sub>O. This can be represented by the resonance structures below:</p>
<p><img src="data:image/png;base64,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" alt></p>
<p>(i) Analyse the bonding in dinitrogen monoxide in terms of σ-bonds and Δ-bonds.</p>
<p>(ii) State what is meant by resonance.</p>
<p> </p>
<div class="marks">[4]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>(i)<br>2NO(g) + 2H<sub>2</sub>(g) → N<sub>2</sub>(g) + 2H<sub>2</sub>O(g)</p>
<p>(ii)<br>rate = k [NO]<sup>2</sup>[H<sub>2</sub>]</p>
<p>(iii)<br>test the effect «on the reaction rate» of varying each concentration «independently»<br><em><strong>OR</strong></em><br>test the effect of varying [NO] <strong>«</strong>on rate<strong>»</strong>, whilst keeping [H<sub>2</sub>] constant <em><strong>AND</strong></em> test effect of varying [H<sub>2</sub>] <strong>«</strong>on rate<strong>»</strong>, whilst keeping [NO] constant</p>
<p>rate proportional to [NO]<sup>2</sup><br><em><strong>OR</strong></em><br>doubling [NO] quadruples rate</p>
<p>rate proportional to [H<sub>2</sub>]<br><em><strong>OR</strong></em><br>doubling [H<sub>2</sub>] doubles rate</p>
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<p><em>Remember to refer back to a (ii) for <strong>ECF</strong>.</em></p>
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<p><em>If only one species in rate expression, third mark can be awarded for zero order discussion. </em></p>
<p>(iv)<br>no <em><strong>AND</strong></em> different mechanisms could give the same rate expression <br><em><strong>OR</strong></em><br>no <em><strong>AND</strong></em> mechanisms can only be disproved<br><em><strong>OR</strong></em><br>no <em><strong>AND</strong></em> just suggest it is consistent with the mechanism given <br><em><strong>OR</strong></em><br>no <em><strong>AND</strong></em> does not give information about what occurs after RDS</p>
<p>(v)<br>change of pressure <strong>«</strong>at constant volume and temperature<strong>»</strong> with time<br><em><strong>OR</strong></em><br>change of volume <strong>«</strong>at constant pressure and temperature<strong>»</strong> with time</p>
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<p><em>Accept other methods where rate can be monitored with time</em></p>
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<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i)</p>
<p><img 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iLWc+qP0ZvOk3h1dgWKgfw7PoQETVpLIl7kVFXpog+QkIAipOPPG8j1qIckJuYJefKEfh6RJ3EpRGcwvuaWMJIzc1qQoB9Wk4jnqdnqpZFtPwQTDzsJsXOoRAaOHk06hwRy85iw+bQFnSqyqXsVUtxDQWytpKTJlL/J3TgVNy+jMpz8EORLHCUNyHdDehMXZwdS4/tV5GFcGiEkjWzsGUzca5Sjmzik92+HyfNUXTYaCHmplnlA1EYDOTGvI/F2kpFuw4eRzt6exJbXnWy7+IRocpkmlRA+aGHM/YPC+1adP3v2jDRp0oTUrFmTY/JGYy53xFv0+D6ZOx125syZJDg4mJw4cYLo9ens9i3IybOq4dkh0iLQi/RZtJ9EJ6SRmENzSKCXE/l5RxhJ0hiJSXuHDA3xJ9UHriC3YtN18bc3/0AqlOhOdl57TG6uH0D8a80il6ISSCqnC3UnozefIY+vbybl/D3IiI1nOP173LlFpFiAD1l85Dp5fmsbqVaxBFl++DqJV6pJmjKRbBwcRNwrjiFnouKJJmoDCfFvSbZdfUA0pjSyoUcwaTllM7l/9yjpGuRDqny7jNyKVXLM4tnZFaS0jysZsuoUeXh5LQn2cyeNflpHohMo01ORXT+WJp6VfuT6zcoi9eTQ1BDipehKtp6/TxJT00hayk0yMdiPOHRZSK4+fUb+HhBMfKoOJAdvxRKdiZDHR2eSAO8mZH3YA3LvxCIS6O1MRq89SR7HK0laWho5tuBL4u3cjey6+oRcWz+S+Lm7kZnbzpOkVBWJ/OdH4l/Eg0zZdp4kUmatiiLzygcTp0rjSdj9BBK+8Wvi696WbDr/kKiM6XsgAd7DyJGIWJKDvRnukVEhweTnTedIfC57G09PLiSB3h7E2taO2NvbZ/k4VJhELt9PIK+8y40xZFpIMBm36jiJTct+v6WRXSODiaddZ7L1bAzhnjnau2RWGX/i2GIOufQ4mRhNJm5dVIkvyPMnt8mWqb2Ij6M1mbb7IknUGsmzIzNIWX9HEti4C+nRzJM4WfPJmM1nOR07Ze5b+wcTfw97orCzIk1H/kHuPlcSk0lPUmKfkxQN1ctnZ+4mknJ1BQny9SCyRoPI4G6NiLOTE+mx/Ch5psxOPyFZ339evq2wowKGgEql4lz/nzx5wsWECQgIyPQ4zS9THTBgAGiAskWLFsHb2xteXl7v0XrGhIiDu3FDmQx5zDUcP6yH7MV9qPV6bNp5Be0rh0CijcI+vRZt65SGs42Me6kv1n4qTrUkEIkEiLyRRq2aoQVg6aYl86+JPgoFJuy9hu41gvFg61IYQ3qikp8HHIsUwz9bQxBxOxJ7Nh7Bo8jrOLTpORJ9hJw+W6+lVkeAQZf+bV4L9bNIXNQb0eeLynC3t+Joca3cDL3tpuOfWzFIDUzX2FYpFwgrOVUF8VG8VA1IT9hDCLOe3NybDnExBAbyFP9uWIkIexl4Mj2OaQ3gPY6DRmeAJg0o07wOAp1tQLUTTu7eEArFnN42MfoWjHo9zu//G6J7hyEVyJB6/SwI3wtqaqtNUgFBN5QP8oHcSgaSEgMY+6B+MT/YcFYjfmg+ogoWL5VzwAXX7gRHhx44ePk+agZqsPP3CFTo1xsBbjaw1HpT6nUPr2AHKY2p/m6QS7KrHghirp2D3lgZU5b2RnkfO/OEAeghsPdDkLvNK+29Tc/CsZr4YmxQEVjnYk2jUgMmkwfcbMQQ0aEFRRDcSATp1QTo9BrEPkmBwNYZClsnuNg7od2Q/ti2+jDuRL6AuqYB7nX6YUK7zRi07A7kA7qhzK01mLdiF5qW90eVonLoYoBu87ejnf0F/K//SKwpE4Rvm9liQu1WcJywDgOal4NUnQZCeDDwAKM+ETv+mAGV2gl9yxKc/yscpPRg9G9SBk7WOVl5zjMW8LDDgoEAtU+nYQSOHTvG6bVpFEcaez2/FSsrK4wcOZKzuT98+DA6dOgAeu59FGJ4jF3TdkOn4uPw7zNxdEV6ryaDCeF//o3z/RrBwSYVIpMRQkK3PdMLMRiQqlRBZmObab9MkTNfT6/lhCbjG2PB1+dxs4Mrdm8x4IuRdeCjsIE2+gi+adAP/8algIiKoVX3L1C9thTXX2QMkPGVXUUOoQjglYaD3AYC80Uih10pPjRyHkwZBOgN6fp52o0B6Q+frD1n/KIq6FB7GHk6JOlMMCmB+r36or5jOXjaiHEvWyOjxe/0OyUA7jICg1aHRK0S4sDe6BuiQICrDYR30gA/H9hKRNxmpkDsDPBE4GWab9OnlwgkYx4C1woYXVOBQccu4As3AbboTRhZKxD23H6FxcAgeBD2D0jp2vBxskvXY2e5nIybJy/AWLEX6tSugdJF7LKti2Xl7McETy4dBYo2QICzPcTZnxsQwtnDCkKREglqFXQGewgNKXj+2AShqxtkxigMbtEVsu6LMalPXRSxF0IbH4uLBqCGTAIBZ15rj1ajl+HvIz2x5SoPY/s1QczvK7H1WEMEu5TlNlStZFbwqNkHPzbZgGHfLEf5w1/D2cYau7ftRkmnJDzfPA06fQ0oZFIkXt6COYeMKNfnf3CJXo44UQksmNYTpTzss24iZ0w1//2HZ18D9vs/IUA3UKk0TD1DqaNSvXr1cnVQ+k+DvMfGNDxws2bNuKBkFStWREhIyFu/YdA50wca/abOVnRzVnn9EP5Sa9Fp8S6MaVcFjvL0Wz/p6mrUaTMSO4/dQO3ufqhiLUXys3ikqnSwFQmQeGkNqndch5ErlyFUz4lPnHWK6SXn4mbvV709QhWdMfmnw7ibWBqrKwbAVi7E/e3rcC7VBuM27cL/agVDRtKwYdAqCGMtQaPSrxZGCw8dodgacuFVHDsXgQbF3SG1E0L37Cw2ndfCo4wEMkGaZQd5HPMgMkrAE5XGV32/QTl/J8CoxeV963BJI4OAmnW8pgjEUgh5VqjZpR86VgmEDd8E5c2jWH8kERJhDq4IiIwQ8M7gakx7BBa1hhyJOHv+KFQid6RzIRtU79YDDl03YFbEVSQHjENFH0/Is2+WklSc23Ucleu2gYu9LIcETjRPcfyiHuU6BMFGxIdOS9+pXhYeP936hm5sUgsxYmmNQ9S4/O92lGowDW72slyYoxhV2o6Dx4bhmLDIE6ZeDUFubMb0s2q0GV8OHm6BaBXqhHE/z8AaFwEahpiwd9YQqNL80bAs3RTOeAexD8XclUvR6rYWZasFoHzZVnhqkkNMTLCxVyBFTN+yrNFm3GLsutgf20+mYujsH/DPd9MwoPMyAP4YvmQQKvk6Ii2iGMZMXYHQit6IvuSDCl+XQ/Uy7shtL5WiwJj7y3uhQB7RWC/jx48Hje3SvXt32NlZvrrmzyl///33nFPVunXr8N1338HJyemNCKUMnSYViYmJyYx907lzZzgqrBG2fTa0usqoW8Yf1hbWGPZl6qGHkyOm/bYbka2GoVETF4yePA4Okp/QpJQA2ydOh0bTFsEeDhA9tweiTmHHHn9YVdVwHoN8s1RtXwZftXFE70VXIGz3I4p7OkDCByRWTpBJHuFZ5A1Euejw6PRqTD6UiFhHA3TUE9VEIMFlbN2wFe5OXaHN8E4V+1TH95U8MXbKBKy0MaFJOQkOzxiAG0onTKwWAlt5GIdJ1jcI3it8zmWo3Lkr3PsvwIRFMgz6si7I3T0YPHElivaah+aNs6txzHCn9+5fswMqe+7DD9/Ph+GnbqhgHY3FfcfhUEJLlG5SHwo+L4spnl/1LqhS5CuMHjcRT7s0hCJuH+ZtiUFsEKc94jp3Ld8ITRx/wW9XCbr/VgtFHK1zMu/UO9h/AajZwwO2ZmZpJg2ANiYSJ/RaeMecw75dibCxUNvQe0ERVAMNynlB9TQSEbcfIVXoggqVS8HZVga+/jEOnrdCjWa+sLVKNzu16Jo7lBVrhY2L09Bx0FT0br+Ee19rNXQxRrQKhaOVDB3m/galdW/Mn9AdC1R0bo0x5c+f0LSsByx9kpxK1EC7Eum9+7v5ZA7T6s9TmceQVsZfZy5l/j5zrg3UWhN4Ihkk1GSUB9iH1kGH0Ix+PHwz677qgDH3VyFTAM5TPTt19acqGGpuaPYsze9To+aQ1IOVxp5p2rQpqlSp8ko1EpXOKUOnHxpDngY0o3FyaATKRo0acVEuHawScPqQNYr1aItSnnaQZOGInmj+YyesH7cKN570x/9+3AAdOmHq9N5YkkoFp1aYs7U/yvo5QK+pDlfPg/h9xgKUX/MtbJ1d4W5LPVyp5CtDpbbfw2vPVAxqVQaetumejn4N+uLrFseweMYgLFcDvNCO6N+7Ezave4KEFDWERUuhq5sHfls1F/OKBKMB3wZ2cin4fHt0WbIeOrfOmPlzBi38Ghjz62S0KV8UopjrUDg6wU4qymSKQqkbHL2sIcpi0pe+2p51hmDFdAl6j12CHptmcydrdB+Pyd80hIe9EFJbRca46fV5QikUju6QioSAU2UsXDMPbt2GY3bvbUglAK98R8yf8j3K+TvixT03ODpYcx62tDWxKYlF65Yi6MdB+HP2YSRX7IaO9ayw4bnFZoUsCG27FMPm2BJoUM43h/kj7Ufz9BbuWbfB1z7ZzRTTaUxNToC9nS2u7FqBK7vSz1n+7b94F2oFJmHWmH2o2bc6Hi3rjLuGTeheLxQKqT+m7TsMidwKote8ufjU6IJzF9pAmaYDT2QNuVQAs0Oz2KkMvll6AT2USuiMPMhsqJex2XbfkpJ3OBbIIJO/QzvLJnmaGPzHCsxa5j8C+I7NqSXLvHnzSEBAAPnnn3+IRqN5x55e3ex9W8tYjpSamkoaNGhAunfvTh4/fmx5iTumHra0DjXtXLZsGenWrRvn6VqvXj0yefJkcvr0aaJWq3O0e9MTWlUKSU5SEq3ByFlEZLYzaIlWoyfUrPRtiiolhSQpVcRATSByFAPRajVEn2F9kf2yNiWFJCfmQkv2im/yW6siKclJRKnSctYeb9LkZR0DUaUkk6REJTG8xsRQ8/BfMnLMfHL4TjRJVlMLoViybnAx4ttiCrn0MJHoqMdm0kPyW+cA4jfkD3L9VV7CBkqrmhgMuWH2kqrXHZn08eT0nu3kj6UzSKeiHmTq32ctzBhf1/Lzv8Ykd8snXQE6phEaqZ6dqmIqV6782SXHoBup1MGKqmUuXLgAR0dHznPVLKXT2PFmKZ2GDq5atSqmTZvG7SnQGDXm2PPvuqRimQ3EZn8Yy04E4lw23ywr5H4ss7FBbt2l1xZAnHNHL7MjsY0NclccZFZ58wOxDDa5TuxNuhBwG8uvnkd6HzyixYl9v2DJjTsY3bgU+LcO4rftqWg9uSa8HK1x9+ByLPx1PbadS8EPayrAy16e+0aoQAYb2zeh69V1NHd34Zu/0jBnbHv0fBGOm7bWMOWIQfPq9p/zFcbcP+fVewXtqampXGx1qt7o2bPnJwst8Ary3vg0jSlP9e40jDANTUBVMJShnzhxglO90IxOVG1DN2Fp8DKajJuVT4+A2Kcptv0hxB8r12Hl7BlwLNsAI+ZtQ+fGZWFvJUSa2IhL0UXQa/wE/K9KIGzFWfRk73UCYqdgNBUux+4/b8EQEw9b32QQA7UFev0m8nsl4hN1xpj7JwL+Qw1LGeAff/yB27dvc3HZac7Sz7HQpCB0U6xHjx7o168faIKPpKQkLtpktWrVMHv2bI6p09AJHyZUweeIWv6h2bVMQ4yeTz85afJpOAjnrgzKeeEDnBE4Vcb0VeWgNtC4OzzwqYNCwefrHJKMuX+AG+pTdkkTVlNJt1OnTpw0S2Otf06FMnQaipjmcKV2+XRzlKpiwsLCuHR9NDRxqVKlmJT+OS3qp6ZVIH5pvZKL5eanJu9Djc+Y+4dC9hP0S5kgjc1OzR1prtJPFenxbadOpXRKO40BT9UuZl06ZfLVq1fHDz/8wCX1oMlEWHLtt0WX1S+sCDDmXkBWnibOOHDgAI4cOcJtLHp6euZrdQWl12yXfufOHU6PTpn6mTNnUK5cObqsQ84AACAASURBVFD7dOpwRZ2YaNIPmox77dq1nCqGhk5gqpgCcuOyaXwwBBhz/2DQftyOU1JSMGfOHE7SrV27dpak1h+XktePZpbS6aYv3Rg1S+mU2VNHK5q/tW7durCxscnSEfWubdu2LedtS3O7Zr+epTL7wRBgCDAP1YJwD9BN1BUrVnCOOzQBx+tS5X2K+VpK6TTBtpmh07jyFSpU4FRIVEoPCgricqzmRmPx4sXRuHFjLsdrw4YNYW1tzaT33IBi5xgCGQgwyb0A3ApUZUFzmXbs2JEzGRQI8seukVlKp28VdHPUbMJIN3mplE69UKmULpe/mSter169uGBitB9qBfS+gooVgFuATYEhkAMBxtxzQPJ5naABkRYsWMCpYbp27Qp7e/tPPgH6JkFDH9y4cSOTqV+9epWT0ilDp3bp/v7+r5TSXzUBastOVU4bN24EzSJVtGhRJr2/Cix2vtAjwJj7Z34LXL58GXv37sXw4cPh4eGRL5gdtUefN28edu7cyUnlNC/qwIEDUatWrTeW0l+1LNQpi1oC0XlT6Z1GfWSFIcAQyIkAY+45MflszlBrk/nz58PPzw9NmjTh9ND5gXjqWET158OGDQN1OPL19X1l4K+3pZf2R+PRb968mQurQK2CWGEIMARyIsCYe05MPpszNKHF2bNnOdt2FxeXfEV3t27dPgg91ASS9j1ixAjO0YlGusyPiUc+yORZpwyBt0AgXzjiUmuK3D5vMY9CV5U6+NDsSuXLl+dC4hYm9QSNJ0NVMtu2bUNiYmKhW3s2YYbAmyDw6SV3okXMoxiodIYs9AoEYsht7WBvZwOJSJB71LgsLd7xBzFCo9ZBIJFA+F9jMb/PvvKYDtWz37x5k2Pw+c30MQ/S//Nl+iBr164d/vzzT87ihibzYE5N/xlW1kEBQ+DTS+7q2xjXpD7KlQpFpSpVuNCtNHxrhdBS8Kn2FZYfjYRSa5nR8f2uANE8wKoZSxD2OB66zJyP7zbG++zrdRRQN/3ly5dz+uzSpUtzHpyvq18Qr1GHJhqy4OjRo6AOUawwBBgCWRH49MxdIIQzjwd524nYcvgkzp67gLCwsziweSFaCC5i9Oi1uBWTnJ5tnpig12qgVqmg1uhgzEhJZp6S0aCHVqOGSqXO5TqBUa+DWq2CWq2B3mgCMRmRdu8E5q75F09eJMFgMnFJkOl5nVbDmfOp1BroDOnnYaKRCg0w0evcOCpodTRBMU0/k3tfHE1qNVRq9cu6ZoLf8XvPnj2IjIzkIia+aQq6dxwq3zbz9vYGtcLZt28fU83k21VihH1KBD69WgYATfVbNdAfxbz94OWQHpPbt6gvfhpxEJfHxSMuTQ+DyQDt8zs4tv8obj1Phsm6KGrWrYvSAS6Qi/kwahJx89xJnLt5HwlJGkgU3qhC43wXdYRMyIM29QmunjqJc9cfQWO0QkjNWqjsI8axY+FQpp7B/q174WHXFeW9rREXFY5zpy/hfnwSdDwbhFSqjtoVi8NGfRcHw+JRpIgYN06exsPnKrgUr4aG9SvBhf8c+7P1VdZDiKiLJ3Hx6j3EarTwCKyIOjUrwENh9TKj/VuuPtW1U29U6gREvTY/t6iPbznd11Zv06YNBgwYgAcPHnBmoGxj9bVwsYuFDYEPnUwqzzR7mhvk2xA/0vT7NeTavWckMTGJJCUlktiHYWRmh6KkSJVR5My9OKJ6cpj0CQwkngon0q1PNxIQUJRYCdqQdScfEpVeQ04u7EICfNyIY8NupE/XRsS/iIIIyo8gx+7FEZ0+lqweUoz4etqTyl27kZb+vsRZKCBj5k8mISUDiUAgIXaKBuTXw3fJ4wurSJCvL3FQNCR9+vQjgQE+RCIQkIUHr5JnV1aTYD83IpbbEsfKjUhjL2/iKhGQ1tN3kTsXt5Fq5YtZ9BVJTv41hPgW9SAVWnUlvdsFEB9XGWk5eSuJTnz39G87duwgfn5+5MCBA0Sr1X7o5Xtt/x8yzd5rB864SNPoVa1alYwaNYrExcW9SRNWhyFQaBDIF5I7dT4/vWgavjm3EnKZHHx+Mk6dugAIpeg7vR4CnGQ4vXAg9idVweK9k1G3pAsk2lsYX60dlm87jSp+pbB7YyQqf/0LpvSpBzdrIR4fmI0mA88gJj4VicmHMWWnDu0mb8eojtXgKI3BrNod8FukNzb9Pgpfdt2ByVQNVNYdF2Yvg5TfEbuOD0U5f3uQhDB0rNMNCUkq6F2oFouHOoN/xfIRreGtSMMfnetgzJ4LSO40BIc2TUJoo3UZfSmwrdNBqCv1x+zxPRDq44Qb68fjt2gVVHo9TJC+dc4Aate+cuVKVKpUCSVKlPjounYaToDq+6kHKi30m37o24Sl3ptK0HTT80NvctIxqH0/jYbZu3dvLhVfYRPO2HwZAq9CIF8wd6qWEdSpjrpNi8MqJQIr/7rA6cUnbDmCgU0rwEGiQfxdAoNbMk7v34SoU1JYCZOxRWfEs/MReKFviHH7d+D+rfu4dnwHDj6OxqWjBxGfZAMh+HgccQF6fXs0rRICWyuavMIHQw4ew2CeEIaHf4NTtNM9WyJG1SEHsL1lJKLun8eW048RdfEUzscmoowFglUqB8LWSgIeZKjWogKsl8tBNwWM1OCH6t+5vuTwa1AezjMWomn7w+j2RVM0b9IJE9oUg7uD9Vszdjo8zRsaHh7OeX/SnKIfu9AEGvThEhsbyw1NzVefP3+Ov//+m6PLrCKijkbt27eHre1/TID5BhNs3rw5ZzVz69YteHl5sSQeb4AZq1I4EMgXzJ1CXb1KM/Tr0ZTTufdpURtNu43ChL/2onZZf1T1kUEkB3gxh/H4oTPS5DLAJEaXnt3Asy8HF5kSWyY3xvi1z5GqFaN8zU4o76eASJpu/iLkqQEfd1iJKKtPLzzoodQDIq4KDzwujaMJkbsWoPmIX5GoVEMUUBMdqikgEgkzrqe31RvoJmp63wL6rMiSAtLcFx+hPRbhT99/sGXdemzeuABbfhmPlGbjcXbuNwj1sMukJYOk135RqXn16tVcfHMa7/xT5Aul8WCePXuGTZs2IS2NPpLTC43BTj+0UO/ULl26fLSQwxQL6qF76NAhzmO1sJmFZiwB+2II5EDAzOtyXPjYJ9KoFUoGw3QK7YJlI79AwJm5WLLhNJ4m6WAySIDao/Dd6J+xYP58zJ87CQ2L+aKohyME0ccxbYsSNYetRnjkI+zZMAu96leGrTQ9Z7zAygvCB4dx9UksUnVGGHRqHF36DSp//xeuPVfCxBPBSAwwkjgc/elPKMv3xY4rt/H45EbMHN0LdRS2kPBopMUsXNwConRGn37C3FcKTm/4E9dMZfDdgs24dec6tv38JTwPH8Ldp0nQpms2LPp4/SHNiUpD5dJNRMpAP0Xh8/n46aefuGxIuUWepOoYmuuUMlyzFP+h6aQ00RDANHwwjWnDCkOAIZCOQL5g7pRl8rPxzdDuI9HL1xeHxs7G/qvxCGn9JVxvLMXPS1fj6MVLOLR2CnqPmYwdUUoQKxfYWcmhfBoNmkM07MBatBz2Ox49jYVGa4JvtZao7BGLkTOWY8fJizi1ZykG/noGFUP84C6TQEZOYc+G7bj6MA0iKyuIY5/hfsRd3Lp0DAuG9sLx59GIik6ETpPOkfnpYn7GPcQDBEYYqD6GEEhg7isZ0fvXYEKHH7F6+3GE34jAzbsnIJQVgUImhSDbfF93Q9K3BCq1U7NHGiL3U4a6pZEYKQOnCTMsder0mKpjaELrj53er0GDBtwbBTUPpbbvrDAEGAL5IQ84TwgXhSM87aQQWj5qBD7o//s4BJVLwIpdpyGv2Bu/TxmMhwd+QZcWzdFj1ApU6Twes/vUgmdQdcwZ2BYPds5Cu6b10LLXZrT6Xy80Lh6HZ7Fx0FmVxcKVs9D1xSGM69wCHb6egZIth2Ns96rwCamCrm6eOLNqBv44+ABV5o1AnbSj+LFLc9Rv/iVuendCp5rBOPPoMZRiOyicXeGusIJIkE6sUOoGxyBPyCRCyD1CLfqKQo3x8/BViwdYOqYLGjduhfHr/DBsyTBU9XOC+C2YO9VrU9v2Vq1a5YtNQxpamErLlnHYaahhKtXTsAAfu9BAYlTfTt9slErlxx6ejccQyJcI8Khd0IekjIZopfrhiRMnctLefx5Lp4ZSowNPJINcKoKlFK1TK6HR8SC1lnPMNyf/1EGp1IDHk0IuF4Gf+bpAEzQbwBeJOftznlEHtdYAE1/EMW3LMfKmP1tfMEKtTIOJx4dYLoeQz3+lcudVfdN47b///jvWr1/PWclYSsyvavOhz9+/f58LAUA3eGkZO3YsJ9F/bKndPM9x48bh3LlznOcufbtghSFQ2BH4ZBuqVMKir9Dv/GzR6aF5uaeXZR11iZosv3P+0EGTV5WMRur36NmuftNBLQimpoZbtmzhzB9pajmKl5m5W2JIz1Hp2awLp2aT9LrZbJFK2TKZLLMtzY5E69D+qN7azs4usy1dF2raaG5L29E69CFNv5OTk7kcplSCj46OBo3M2L17d04dQ00laaIOc1tKM21nppkG+qKbw/QhYKbVYrrvfEhjxdME2vQth0rx77PvdyaKNWQIfEIEPhlznzRpEv755x+o1epPOP38PzRlkpQJP3r0CDR2+dChQzM3VCdMmID9+/dzGIrFYuzevZvLcERndfHiRS6Bx9OnT7lJ9u/fnwuyZc7U9P333+PkyZPcA5bq8ml2I7PES1PijR8/nmOUtDFN30eZP7Ulp9Yo/fr145Jl0CxQtFAvUXPIYUrDrFmzEBcXx12bOnUqWrZsmanC6dy5M6jUTwOfBQQEcHXexx9q+0/3IujGKvXcZQm03weqrI/PGYFPxtyp/pimTTMziM8ZxA9NO3XWodJ0sWLFMpkkHbN169acZQrFkErUlnFmzBufZpNFGmCMSuDmQpkslXapFE37t7TAoePQhwiVwOmDhW7mXrhwgQsvTNPbUVVbs2bNOKmfMlSauNrMTKn+mybpMD+0Q0NDszhb0YcMfWt43yaL9OFD50gzNFEbezM95vmyb4ZAYUMgT527yWDg9MWCdwyH+9517oVthT7hfKnKhiYE+eqrrzj1C819umzZMs6u3Kxm+YTk5Rh60aJF3IOIqmcCAwNzXGcnGAKFCQFL+5Rc5/3ixgmcuXoTj18kQZVLJMZcG7GTBQKB+Ph4UPUZdVyi5d9//+UcmPKrPTk1xaTqIKr2YSaRBeIWZJP4DwjkydyTr4/FoI7VUKx9f0z7azsuRz5AfDK1SqFOR/9hZNY0XyNA1TFz587lwgrQY3OZPXs2rly5wqlrzOfyyzdVy9DN3VOnTmWJdZNf6GN0MAQ+JgJ5Mnf/lpvw6/xF6JsUjrU/9keDSqXR+ZvRWLX7OCIfP0dKqjo9NvrHpJqN9UERoOoYajNO1RvZpfSEhARMmzaNU9PQevmpUK/YKlWqcA8fy0Bm+YlGRgtD4GMhkCdzF9h4okqLHlh4NRyXr5zEmoVT4XFyM4a3r49g76YYOHYpDp27jbhkdWb4gI9FPBvnwyBgVseYLW2yj0LjuND4MtkZf/Z6n+I3jXMfERHBJfDIbw+fT4EHG7PwIpAncwcxwaDXQqVM5eKhWNnbwTZQBhuFHRSO0di/bjq+bBSKflM34EG8iguKWHjhLBgz/+uvvxATE8OZP1ILHGqrTuPGUNt0+pt+aHRImiSDWtvkp0JTNFLLIWo1Q619WGEIFFYE8jSFNKREI+zMcezZsgF/7A6DWmeCKKgphk7vjHbNqsPHVoPjy8eg98+rcK5jXc41X5b3I6Ow4v1ZzLtPnz6cuaOZWKqeocmoad5WX19f82nOrpwy0vxUPDw8OEsZarpJzTU/ZRye/IQLo6XwIZAnc7+7fRS+nnIUMclGtOkzBl92aItqJTwhFdMoiemlTrum8NqwGhLhq+Mmmuuy7/yPALUZtyyUQVLJnTpAfYo48pa0vMlx9erVOScp6qFrdq56k3asDkOgICGQJ3O3D+mMcYuGILR8cbjbSNKjGRIDtNp070Qa6Fzg3gx79jeDla0MovwlyBWktWJzeUMEqEkktcenJpw+Pj7cg+kNm7JqDIECg0CezF0klUEXdwtHdt7INeCVSKaAX0gIigcWfaegWAUGSTaRfINA+fLluSxQNJBYqVKlPkpGqHwzeUYIQyADgTyZe8L13zB+xG7EpIohl0q4uOvEZIBamQK1XgwbOylM2hR0nrIdE3o3hLsdTT/HCkPg0yFA1Ug0DAK1x6cmkR8j3d+nmy0bmSGQOwJ5KFEIJNYBEFo7Y9CslTh3IxKPn0Tj2rm9mNiyGBSyr/Dn1p2Y/01J7Jq0HOfvxUGbv0yfc581O1vgEaD27jdu3GDOTAV+pdkEX4VAHsxdjTNbt8Op3VT0a9cE/i52EIskcPOvgv5jv4eT6yMYnLzQZdQ8KFzFUBtpbtFXDcXOMwQ+HgKUudPwwiwUwcfDnI2UvxDIg7nzIBSLcD85EQlp1BPVyMXppnbvSfFJMBr4MBpM0Oh0MBEeU8fkr7Ut1NSULFmSizwZFhaWJZl3oQaFTb5QIZCHzl2GUo1qwXHEWEyTqtCnQ3342EsQfycMy79dgNS0L+GqicfGBXOhUrnARizOkQu1UKHJJptvEKChCGi4YZopioY9/lQZovINIIyQQodAHswdCGw5GuOvh+GnVbPQ7c/pnNqFx+NDKKqDuXsGItC0DaMOPkDD4d+iQlEHSPLdbiqB0WAETW1tSRp1TefxBXibUMbEZITBBAgFAmoB+saFtjMS3luN9cad56hIYNDrYTQR8IViCAWF942qcuXKmDNnDqd359b7bRYtB67sBEPg80IgD+ZOEH//ETxarcGe7jo8eRSNpDQ9JA7eKFsmGAorCYi+B7Yf7A1HBzlEWTJc5xMgiBqRYWGITtNx7N3Mk2mCCyuvEigf6AG5hUNWdqoNmhSkmaSwloqQEh2Oiw+kKF/BH/ZW4iwPi+ztLH+rY8JxRemCMn5usJK8dP6yrPO+jo26OIQdPIyIGC2C6jRDeV9HSIXmWb+vUT6Pfmh2JhqCIDIykvOspen+WGEIFBYE8mDuapxc1AsD11bGqtMzUKtuCYiyIyO2h5tz9pP56Lf6Lmb0+gq7Y5JAXWgtk137ffMr1g9piqKKVzFcAy6t7I+Zmq6Y3aMe1P9Oxtc/lcC6g0NRIcQRr2qVffYPD/REz6djsOPrlgiRvMyGlL3e+/j9cP8sdP9uPRKTtfhhZQmU8HKAVPimlL4PCvJPH8HBwVwIYBqKgHqtMuaef9aGUfLhEciDudMNVTF4Ra2gVKchNTUNEj4vI9kxAQEfYokEQn4+lgwFQsh5PHy9ZDeGtq0ABwnfwqKHqmUAXWoyNIQPg1YLo8kEvkQOW2s5ePpEXN9zATEl6iNJpYNUbgeUkUKrT0TsMx34PCls7G0gEwvBgxFadRqUKi1MXKB7MaztrLlrAnE5+IttIeHxYNSmQakl4Bk00BlNIHwpbG2tIBGYoExMgdDaLr0/HmDSqZCo4cHWWgqRJcYmA1RpyVBpjFxMfYncBtZyKaBPQ/yTaBia/IQdg1ujSoBT/l6bD3x/07g31KGJmkRSCd4yleAHHpp1zxD45AjkwdxlKF23JmSbVqFNh3B0a1IFgW52EAqokY0WWrijTa/OKOFqD1E+5u80NqCnRACD3gg9n2rfaeFBKBIAPDUOTO6CNQmuiD54FPdT4mFfpTfmzPkB3jeXYl74C9w+PATj7N0wTCECLs/ADwNnIvqBACnxpTDq97no37oMrHURWDPnZ0xfcxyJSjX06lIY9stMDGpfDjRQg9lCNGrvDHy74TnsHu/HhQdKJCgaY/qsn9CpVDx+aNwVvuM34JsWFaGQ8RF9cCYa/+2IVZO6o3wR+4w3BROUd09j4fR++P3gC6SkGVCv5wSMGdYD8vML0XfWITx9thtfRMfjyNJvUNrTHnmYRGXgUTC/KlasiJkzZ4LGmWF694K5xmxWuSOQB3MHNFpr2Ns7weXFHRzYcgcHsvRTFmWbN0ewS/5m7lYALv27DVbx4RATPojQAGglKN/sC5T1kUKvvIfze9T4bvEq1PWMw/ju32LFrnqY2ak9+pZbg02+AzGyXSUoLhwBBNYIajYby9oWx6VfumH0vG1oVMUX2p39sGC9H8Yt3Y7qxeU4t7gNhi/ZgeY1AiC1xEwXj6jTO1Bz6FLs61ACV37vjO+6zEOx4yNQp4Y9RhwJxxc1S8JBosX+X9fDu9oUOFtJM1VARPcYi1v3xm/yZpi5theKi+9gUp8RGARn/D6oK37uexGzXjTBuF6tUdzVplAzdgp7hQoVoNFocPfuXS73K1PNWN6M7LggI5Ancy/WZipOtZoIvUYDjUYNvtQWcqEJGgMPUqkYYqHwrSxHPgWYVGo+ef5fpMTchDFNAC4E+b0U6P0rI8jTC7oYoNWUsWjfqDLcrU3oVs0Gi/QawMYbXg5iODn7wdvJBlrBC8BvIL7t1AQl/RTw6tIP068ZAGKEb/Ol+LWGCF7uNtClJYNn7Q2ewgrpkdYsZ50GYchIDG5bD4He9ggaMBs/b/gKkbED0bDT/+DQ8xhu92sCX80VzI8kGPp9cThbv9wIVD84g1VaPUYt6YtmVUvAWlQGP088iMaDo5DQuymKFnGEROAHHzdHiAuprt0S7aCgIC7+PI3vThN5MOZuiQ47LsgI5MncwTMh7ckN7NzwFzZu+wtOXdZgZIUX+OuYES07tUBFX1dI87FKhi5eGoBB45ejf5OyUOSw1VSBZgj1cLHNYIZ6ULsaGwACGLljApqQwqxYoVvK6ROW2yvAe5AAaHkQG59i29zvsPlEPFQ6AUxaJZKCqr9slnEXGfWAd6NisLOVpEvV9p6oJBDhRZwa9g2aopZiCc7fvAOHhLUgPt+ggo8n5Dl0XnXg4WgPUYYVjGvxahBZHcZzrRpSU44hC/L9m+fcBAIBypUrl6l3Z/bueULGKhQQBPJUx6ofH8LAhh0xauY6nLulxZM0I1ITn+DI2vGo22sBzj1K4HTK+RkPyoqNej30Oh2X2JkmfNbrddDpjZweNp12S834y9lQ02gDj8CQmQ3czOTBsfz0mnHY0Pk7rFF1xC/7L+JR9EMcXdwV3jIrcAb2L7uDQMTDvSNXkZCQCqPJCM3TOzih58HDzRpS20D06KHApj1rsPDH42jQLhQeztZZVCs8AkhwAHefxkKlM8Fk1CH66hXovEvCw14OcZ4rakFMITmkqpnbt2+zODOFZL3ZNNMRyENyN+D0qu9xVlMPv/47EX7XRmPkczFcqg7HullCtOq3FZHRvVG+iCOs8+jpUwJuDeDO2cM4ghhYifkZMrgRRokvatfwyUEaL5NB8iB3lOHqlfM4GV4SpbVGQGiCEdRSKKMIAcIj0FpL4W2vgBx6PAg/gsXTjiBO7gwNCF4qVajQb81tyq7dGwBpI18cn/kD9NovEOjqyqm4yrQcA8Xib7FbVxZ/VwyAvTwrsDLfKuji4obZP69BEbkIJfg3MXXCXmjr/QAba7GZKvZtgQD1VE1JScGjR484vTv1XmWFIVDQEcjKOXLMVoe4SwQhvZqgjLcD1DdevvIXa9AONW1/x+PYOGgNvrDOr/pdnhAuCkfsWz0PB1dnm6DfEOzd0BNUvWIlFmUoW4Rw8HWEwk4KPl+Gih0Go0j/mRj5pT2WDreCQzlvWMlFnDTNE0qhCJVBLHdHqxkDsXHoXHSo8zPAC0X3bvXhufcuouPSYC+yhYNczKnfDSIZILbBqsnfYt1UHsBrhQVbhqGCvyPnQyDyrYZeEivM7tYagZ72kGQ+aDJoF/tg0JZfoGnXH2ParUEKgNBWY7BrbAcUc7bGI+nLsbLNttD+LFGiBJdFiurdqWNT9kxThRYYNvECjUAezJ0HkYsUVx7fRWxyCmyIDjxihEGvQcL1CziuNqGbmGZnysdKd3ExjDt5HuNes4zl/zxlcVWAhuNOoqH5TOWeOHW2CwhfBIGAh3YWU5X5tcep9RkVffrh/PnuUGpMkFjJIBLwMWdOxrVKC2Gudkf3HCgxHAeW/A8hjvTBIOVMS3kg0KmUUMbfxWWdEN82D4WHrSxXL1iZZ2X8dDYMI5RpMAmlkElFmc5Zfu1fjmWeQmH/FovFXNKOmzdvcvbujLkX9juicMw/D+YuQ+XOX8H1mxmYMDcFFZKOIMmuOE4fuoPto+chUdkC1fw9OVVHQYZLIH5DdYdYBps8qpqgh02UDtDyIbWRZ5o4AnqcXfkT+s3aiNjUPugX4g9b6es8SwWQ2dgWZNjf69yoambDhg0sQuR7RZV1lp8RyIO5A551+mLhqCcYNGMNFj+jGuQ5+G49H0JhbUxZPwQVqTrBQprNz5PND7S5VRyCBeucEexjY8HYKWViBFVthOFjK6NMvcYo7WN2WsoPVH/+NFCLmXnz5iEuLo6LM0OtaFhhCBRkBPJk7oAM1btPxdFGfXDr1kMkafUQ2DijWPEgzrlGzMwz3ur+sPerjNqvaOEa2hR9Ql9xkZ3+TwiULl0acrkcV69eBY31bm1Nt9lZYQgUXATyZO4mgwaPbl7C1bsPoVRlZFqKi8PT+xGcNXjVZvVRVGGDQhp4MOedQUwwGEzgCwWZevCcld7+jMmghxH8tw43TEcyGQ1cMhUqrVpuj3Dnwf9IoYjffs7vs4W9vT38/f1h1rsz5v4+0WV95UcE8mDuBC/O/YZGXWbiWbIKYhE/xwbfklKn4OlQuJm7ZVhgkhyN0xcfw7d8Oc7uXPBeVFYEL64cwhVeMKqV8IKNNLdlM0KrMUEsoR7DloMSxFw6g9t6BSqUC4StzByq2Ij7l07jmdQP5Yq5Q/6BQxHnh5ufqmZoZia1Wp0fyGE0MAQ+KALZDe2yDabG6bVLodPWxcJ1R3D1+k3cunXL4hOJL0r58QcDQwAAIABJREFUQ5pHL9k6LWA/08MC9152CNFJWuhfnMSoUX1x5mE0dJnG8P9xykSNo/NHYM/Vh0jV594p0T7A5rUnEBef9tIGnw5LkrC7Z1/0XnsVT1MNLx/O+vtY3KMXpm2/jDg1deAq+KVMmTK4d+9eZvKOgj9jNsPCjEBuIqAFHjwY40UoMaAdalUpBk9FlhBYFvXy7yExapGSpgcfemi1BkhoSF0hgTpFCQ0NuQsRrG2tIZOIOJWFQadCaooKehO9BkisbGEtTzf3NOm1SE1RQsu1E3PtxMgaFtjL7wusXlsbTj6ukPAJdBoVlKlqLpQwxDLYWVtBLOTDREP/6gGBQQ2t3gQTeRkiOIvgTfmzOhK7Lvqh9QAf2Mlzc8AhiL+4F5MnHYa41Dx8obCGLOOBSzSPcdJkRLcqXnCyemnKY4i/j/0GE74s6wlbWW595t81fVfKqN7daDRyyTuoikYq/fzu53edO2tX+BDIQ+YWo2iDCrh5+jzCo58iMU3F2QnT2Nj0k6bSWLjl50/w1FF70aXXCHzXryXKlyuOH1cdw7lD6/B9jWooX7w4ggO/wM+rj+K5UgOTIRVhW+eha7VKKEOvFfPDV5NWIiouFUajDrePrsHX1aqgXPHiKObfDrNWn8bFTXMxN/wFLiwagnGrT+Je+F60aP4rTkckQKOKwT/Lx6Nq5fIICQmGf/vhWHfyAVK1JtDQvx1HTMCw7pVQOTQYAT6tMG9rOJI0OaXo1MjTuMyvDW+FHXLTnhBjEvbN+wsm5U5sOxGBBCWNjpNeNI9v46LeDR5eDoBRl7l+LyLDYTCURklPJ0hFedwG5s4+82/K0B0dHXH9+nWmmvnM15KRnzcCeUjuAnj5eUF0cxHatD2Obl/UQqCtMNP9Xg8PdOzfGSXd8nPIXx3uXd6NkxV7Yuqkb1A66Cm6dZ+Miv8bh10960J94Tf0GNIJDkUOo4tnOIbOWI16PyzAnEalkHJhPToNGod9Taqji/djtBswA/6dRmFnr7qI3zcWQ6cvROmVA9CjzCbs8E8PC+xiPASQa0g2qnDh97EYMfcIek1chpaVXHFqXh+MbjkDRU5Ngoc2HlG7/4bH0LnYNjMQ5+Z8hXHL96NxVT+EFrWMwW7C7X/3wu+rPnB2kWUzn0xf4NTru3Gh6hiML/Ujxmw+iDtfVICLrTNnovo88hYMmkisXvcH4k45c7FniFiImDNzkOjSl9svKSS8HTR5B7WUuXPnDsfcWRCxvBkEq/H5IpAHcwfSUoWwt3eEy/M7OLA+ezz3cqjUrjlC8nmyDiAAS4Z+hbYV/fB4yyDwNaGoX9YfvBQ1FMXqooF0DfadvItmPSpi4S/r4ODpBJFODchdAb4Ij+JViHy0AVpNe4zq2hpl/Jwg6DMby0KiUbR0EIyOL8MCi+LSNzOF5CmO/xKGCr2XoVurRihiL0HxSYuw5Oj/cCqqL5rqlIDfIHzbJj18cNEBgzBnhBoGTuVjcUOZ4nF8xX00nO4Fe6ssUWrSK5nU2P/bCdTuPRZ1raZh/qpv8e+1L1HG2xEKqREPzp+FCdUQIjIhJTk+I5DZC2w9qoFb90A42UhyfWBYUFCgDqlqZuPGjUxyL1CryiaTGwKvZO7mrDV+rcbhfKvcnPcJjEYT+Pys5nW5DfLpz9lyeUTTM9XRHKanMbr3scyE3kaDHg2tRbC2Ai5s/gWTVuxHYqoGfBiRkpDMBf6i0RjhYweJWJC+KSl2Q4VK9uBJTBmZlizDAgPQJOCWyYCSxT0gl2botO1dUUkghMRIY8BTVOj5jIeBtRV4D7QQas1n0lEzxV3D77yqmOHtAnkuPgX6xwexWdgQk1zsYedZEwMcHTFmy1m0qxoMB/c0XN18B6V6zcGE7xrB2yH94UCM92HcewokyAtWZto+/SJ9FApKlSqF+fPnIyEhgXNmotI8KwyBgohArne2UZeMZ09jkaozpPMgYoQmTQWdIX2TkQJBtHEIvxiOWKUaxtwNOPIlXgTJALpi06GriH76FDHRUTiweRX6fxGKuH+nYfySWHy3YCtu3I/Gg+vb0MbfEzIejfwoBu7FQ6nUcJuj+rRI/DZpOv4JfwKVkWSGBc6EQuyA4nIJbly/h6RUDUw0vO+Lezhh4EEgF4PPPWkya78SqyeXD4JftRp8HW0htrRw5BbBgNOrd6NJh9JwcbIGD05oPL0LHE/tQHhULNLiH+KQ0YjSJV1hZWE+qY0Oxz6dCd7+Csgkr3y+v5Kmz/kCDSJGE3ZQe3eaoYkVhkBBRSBX5v7wwDTUrNQdu8OfQENTjuqeYN2kWTgUHgNVhime+t5+dPmyJY7cefD+TP4+GMovuaJ3xWZwdt2OP7buwKVbd3B21xJ0+WYwtoU/QppJCgmcYC0UQ/X8JjbO7I9TsY+hBR/eFVvD2WU7ftuxD1du3cLBP2djyd9XOSZt5yzPCAv8ECoaFpgOJyiC2v0q4OqKxdjyz1ncuXUZK8Z9D72mVkYCDn6u4YNf2irSJ6gOl/ftQP2aRaGwyxlEzJhwHmuvlUUpWymgUSI5ORnWJRuiqiwKO49dQ3TEFUTqiiKgiDNk4pfu9glR12E01UOgizMkhcz7zNXVFR4eHpw5L7N3/2D/cKzjfIBArmKbIS0NxCSDEBlOS8ZUHN+5Cj4VG6NycXdY0cTSAqpSCIUQ8iz8KB/MKQsJXFheR3dIRelTlfm1wsZFieg4aCZaLhvPqUVaDZ2PYc3KwUUrROdl/TGxRwMulG6N7n3QzI1A9SwZwkaNsG7+GHQeOhPNl8QB8MfwBQtQq5g/tJ1ehgUutqYo7B0dOAuU8n1mY6pyGMZO6oHZyVrweI0xe8NYVA50xvNINzjmEj5YJLd43uqjcfC8Fap1cIOtLOdSPb50CldvHcbPE07AyspszqjCKQOQevImbrrEw9qmFnydbECXzFw0qc9hX6MsvBXyQhkXiErvUVFRTO9uviHYd8FEgORSbm8YSPzcW5LNYY+I2kgI0dwgPUL8yJTNZ0i82sC1SLu9gQT70ToP0uvk0g891aNHD9KvXz/y9OnTV9T4RKcNWpKSnEyUKgMxmixpMBBVSjJJVWmJ0ZTlQnolg4qkJCcRldZALC8btFqi15uynDP3qlWpSHJqKjEYKZhvUwwkJSWNaP/f3nnAR1F8cfx3vSSXXHohJJAECDUEBGlSFEREqkpHwIKUP4gURUC6gFKsKFVEBaVIb1Klq0gHEQJICy0kl3b99t7/M5tcCGl4CHKE2c8H7vZmZ/bN923evp1988YhUCGSuNPQvzp23rx5VKtWLUpMTPxX7XhK5dmzZ1PNmjXpzJkzniISl4MTuO8ECrqDJfMeVrBXMiV0Prcn9dw+4C6pdGUa6HzYS9k7t+LSAis1GhR2pjtbKGxPBp1OW1gB/+1fEKhUqZKYHZJliIyOjgbPEPkvYPKqHksgzxhA8TLeHrUu/jheygl4OgFm3DUaDX+p6umK4vL9KwLFeO42ZBjSkJrqBbXVAKlDgCkjE4ZUA1gymazkVDEm+1+d/T+sfK9ZFQUHy6hIkEhlBbInFlcmdo1liBRI9AzzpxS4W9fJKUBw4i51CYJDAJhs2XGed2uWlwPw9/cXX6omJiaKETNeXl6cCydQ4ggUatwlEhkUigPo16ojoqNVUF05h3M2G2z9WmFldLQYSsZeSFmtdSBIZHcmqvJIRP8kq2J+wZ2wZt3CX0dPIslggXdwJCrFRcNfp4aULYhdZJnrGYdgM5zGr386US0hFr5eKrdePJtvnsSBRCnia5Qruq4jDcd2HYU8tjrKl2KpCVznzt8Xvp+fAPPeWRIxHjGTnwzfLykECjXuSr/KaPx0O2TZrRDneDxRFVXz9ZhNBjGZyiKUGbt8ZR63m5NVce/TX6Ba+Qjo/kG+KMF2GYtGPYfJK5ORbpFBsGTg2Xe/x9R+LRGmvVFkWSm9WjTigi0VK8a3xeDvWmPFnuGoVdG9maAXt47Fq8MrYdGWt4uua7uMif1fRcUxi/F2m1pQafKExHicEjxLIGbcf/vtNx7r7llq4dLcRwKFGveoZr0xq1nv+3iah9vU3bMq5pePcHHTLEzdUAFjF21Am9pRuLD6LfQYuwmn2tZFVmJRZfUQ7BsGJdnx56bPMH59Om6U84JcWzAPvuuMJNhhNlshVaogddphc0ig1qohU/gAMT6Qq6Riwq+MtAxAo4O3Rnl7ERCZHKESCbzkLLTeCYvRAkEqh1JGsFoFKNSaQnPwu879OH9WrFgRycnJMBgMcDrZTGuPd1EeZ3Xxvt8DgUKN+z2049FVXFkVBxaRVbGg8GYcW7EKMV3GIC4EuHQ2EZoag7F6qw+CgpTY8FFRZSyBmhOWxC3oPHI5GrV7CsnHtAAVNRNVQPqfWzB95lZEtWmHwCvbsPN8EF4Z0BUqVkUmATP+N46twdCuI6F5YyomvvYswtikpZzNyFZaYt/t17Dq4y9x0qsqmlV1YsOKkyj3Yi+0bxgLv2IX2na19Hh9xsXFQalUiknEWNw7W4KPb5xASSLwGLgrrqyKsUVmVSygUHGpPMKhfd+hceMmaNSoPmrGd8b8rYnItDrgcBRV5oTDkoS5L76H0m3HY2DXlgg8pwFMBc4g/mDPPIMvXx6A+d9dQ/Le5eg/ei6OaEIRqFFDzjzJAELSmY14rdv7uNz8HQzt/jRC8hj2O1pVlkLF2Ewsn94X3+87j5RtSzC0/3TsPnsdVmdRN5c7WnisdkJDQxEYGCjmdudpCB4r1T82nS35xt2VVbFC/qyKBFtWOm4ZUpGSmiomkmLJpFJTk5Ga8jdOHLHDsvcqJn61HKdOHcSi8RGYO3gmfj11AseOOgot25+YhJ3fjMe0gHYY3q0eIpn77SQINjuc+Q0sWbHziwmYlZyChm+G4ujcH2FOfx7vvvgUQvRqQBEM7JuEdi/0xJknB2Lu8I6IC/Qu9v1G/MtD0D0sGD9N3Ad966bwyliOcV+ux+Vb+VZnemwu7+I7WqFCBVy4cAFWq7X4A3kpJ/AIEijxwzJFZ1W0YOfH/8PQ3ZegtSLPJKPzkFQZgualrVC9MBjN6lZCYKAWLTu/Ad9Zs5EJPWIS5FC3LFhm+HszhnyyHTeqtsfBPZvw1/XdSMvMxLI1QdBHtEJMgPfthcTtF7F5xVFkpFVDgPEW1spsCHipNsq6UgKwNfqkXtD7SXD1+EmcM2SibJAWyEpDJryg91ZCLpHcGYGjiETt1kp4XdmFY4YOiBUkOPbtDzj5RgtEBHo/5sshFvzrZMZ906ZN/KVqQTT8lxJAoMR77kVnVdTg6RHz8fvazfhl82Zszv13Flu/6I2qUUGQWbJgFb1uAcZMA5yCBFKJAt4aDaSFlAEytGj4HDqo/sa+jWuwZNZGZKRuwoJ1W3Em2QhH3tERZXn0n9QDZcr8ifPOELSv4wfDyu+x9dT1nHVSs4Dot7F600r0cG7DR3PW4kLyLfw8tBHaT1iGxBtZsDsEKFgMfs6FaLuxG0sWZ8Ea1wnxvnb8pVSh9fhhqBMTzA17IX+sbNz9ypUr4upULMU13ziBkkSgZHvuuVkVZxaaVVEmU0JWRPRgrW69ENr7A/xYIQTSp0rj1wXj4BCeQ5gmEDHdCy8rU6ENOrd9LTcZl/XM96jeKhWLF3ZD9Yr+uUbYdQFFNeuLcS//hHe++wNNRvRDyJk5GLFgI+pX7AENG6iXOqELjMeoKb3wQp8R+LFOZTzboB5SRi7C2qp+KC/8hu02J3ooWfilFb/MG4Y9NiP+92Isjn+1EPLaw/C/jg0Q6FPIIh8uIR7jz/Lly4uRMpcuXUK5cuXEF6yPMQ7e9RJGoGQb97tkVSxOlyEN+mDO+DS8MfYdLBiTAUiaY/ryQahZLgBeiqLLFC43mkWxyNXwr6GBVCsVJ3rlKco5tQ5tRv4Abe0/gDLxaFU7HicuC9DIpYAyFAGlvSFVSBDerDdGdViFcXO3oMWMXnij8QB8NbIXDFagwevT0a1+OegVJmhrvIep31VEfFAGjoRXwft1mqBCqM9jtdJScTrNX1a2bFkxSobNVK1fvz437vkB8f1HmoCEpSJ7kD3o2bOnOKN13LhxYBEK/+0mIDPTCpVWDYWs6Fjz4mQSbGYYLU6ovTQF2iiurLg2/32ZIMbGOyUKcbENqbu5DdwUYP78+Zg9ezYWL16M2NhYN2t79uEvvPAC2Nj78OHDERQUVIiwbDZyBjLNNjENhesAmUIJtVoDjTrPvANXodufBGumATa5t7gy1r3rk2C32iBRKMV0FAWdCbcF4xUeYQIlfMw9O6ui8h4NO9OrTKmBj48XCmujuLIHe03IoNFo/6UheLASPiqts+GYixcvFhMxY8aGCV0QXy4G0TGx4vBNuXKxaNKyPd7/fDnO3sy8DyuRmbFheH0MXrAZ1zJs94yOhFv4ZdlSHL2aBps4+eGem+IVSwCBkj0sUwIUxLvwYAkw475///5ijDtgN54HSZthxPjWKB+hg9RuxPmdy/DFR71xVf4TZrzeBKHiYilOCAJBInMlmWOJ3RwQnNmJ5+SyvOsNZyd9E9jsWJkAqxE4a7DAKhBY0jgnpLeTwZFTTCInzeOkOAWHuIYxSaSQy2ViiKz5zEYMHDMf45bUQcUwvQjOKQjicZBIIWPHPeCnvAerLd66OwS4cXeHFj+2xBFgw0w3btxAVlYWXIvC5+8ky8UvSaiBFm3aoHqUPvvFeMfnoLveAKO3HERS+wowXMiCxJGGvy+mQlM2HnXiQuHMuI6TR0/i8s0sKEKiUDW+IiLYWrhSwJp1HaePHsfZa0YERAUjJcsKHbF4K8Kt08dwRRGOuMhAcXlEIfMyjp4XEFshAjqNAnZTBv4+dQKJF67BJvdDuarVEBPoxNGTF2G2KHDm4AlcLBWMSG8TLvx5Cucvp4DU/oiuHI+YCH9xlTA+ZJNfyyVvnxv3kqdT3iM3CMTExIhpldlkJhYayRbPLnQjMxwOO+x2O9jrcbvNBlITVCaC7dwWdHtzLC5czYK3VglJmw/xS/9gzOs0GD8lG2BVykB2CwyNB2LTjLfwVLiAZaMaYcxPyciwKgHBAkN6FhpWBqQSM37u1AXvPTsGm4e3QcUADc6teRsv5ySRe6K8Aps+7YLBs/9AuokgJQdSDc0x55sn8fm0b3HlxmVMfe8I7GFLUHpHH3yw/BayrApIyY50Qxss+W0ynksIA0tZxLeSTYCruGTr9556ZzKZkJaWJibVYom12L7D4RAX4Gb7rn/M0D3qW2RkJFg+d5b+t9iZqqmJ2Ld/N7Zs24YdW9dj1pihmLw7C03b1kO4nxZSApr0+xQ7fzuIY9M74tKP72CNMQFT1x7ExaTrOLF1HqqemI9v1hzGqc1fY/wKC16ZuhZnLibh1K6FqBYdComDLYoOKBKAGno5tK4hlDxJ5EynV+Odeafw/Mhvcer8FVw9sRG1a57CmuTKWDJvNMpFNcfsDQcx/Olw7NvkRMKbC7DnaCL+PrQSL9c8igs3b8Js5wPyj/p1+0/k5577P6H0mB0zd+5crFy5EpmZmWLPU1JSxGXpevTokevZent7Y8aMGYiPj4dc/uheRgqFAlFRUbh8+XLxxv3SOowdtB2K3EVRJOgw9BMM61QHATfXApCjyTM1ULp0JHwV1/DjegGVe3VE3Uoh0Mgl0NRoiffqj8ZnV67hsvMwBHtPNK9WUVz4XFb5WQyv4oNFqpwkcMVcb1ePb4Pd3gkdG9SEn7cSMu8nsWn9VggqHWRXV4o1mTokchXK+vli9pRRGH7pBbRs3gjDFm1EdEQgvNi4EN9KPIFH96+yxKvm4XWwXbt2+P7773H06FEIgpAryMmTJ8XvbM3RgQMHikbxUTbsro6xoRk2U7VYzz1hEFbNHYRapXwAQYBUoYZKLgVzrk03WUsJiAnSQyWXAHYbUqQEfz8t5GzOgrgR5ArgsiEN1nABJHGCcpe5Ici1YO8882xFjYpLgKreUKhdob0ElVoKq4ylfWabRJQJikgMWjoPUUsW4sO5S7FnxRyY0qLx/rIF6NOiEvQ8U2ge1iXz6x2XU8nsIu+VuwTYUMXgwYPFpegkrqGBPI1Uq1YNffv2RUBAQJ5fH92vbDJTUlJSkcY9eyKIHF4yOdQqlTjxSa3INuyF9lqpR4XKavx8+iyupxshOAXYzDfx9247qodFwFetgwTXcM2cBatDgM1iQNJBBxx5soc6BAE2QYDDbkFKmg1Czo1ApvSH5Mgp/H0zHWaHEw5bBlaMqod3FvyM62IYpQJOOGBLPYVVa04hvsNIHDx5Gn/9vgpvlknGqn0nkWq893DLQvvLf/RIAtxz90i1PHyhOnbsiB07duCHH34QI0lcErHhmLFjx6J06dIozPC7jnuUPplxv379uphArLCIGbsUIJkE7Bmm6Bl/eT1tPeq81BKhwydiTqw3XmteFec2fomvLBZ0qRKCqjW6IXju/zD584VQvNoM9iPf4cPUmygvAZg/rvTyxskVK7GlWiAqShPRb/oeXC5dHlAAZZ5qh+Dw3hj3ybfweqsNvK5swugNNrSrHQC1PAMq7MUvG9ehdItIfDJnHLyPJmHEa80RbE5CkkyFqAAfqGTcp3uUrs97lZUb93slV8LrsZWJRo0ahcOHD4v/2PAMG455/fXXUa9ePajVtxcMedRRREdHi2GQzHtn+WbYOPztTY7g0gEIoSB4qeSFplyWsDQTAWFQK27/OZV/aSS+yNJgwEcfYOU0lr4iBq9P+BZvtXgCAToVln85Gi/2/QCvvTQzZyhFDT9fNaRSDZoOmYQXDgzFR707wYQYdO9eH7gWDAUkkAU2wMp5kzH4tVHo23omWLLi5oM+xZvPJyBcpkfX0HDM/WwSgqqsxcwJb2PgqE/RfeU0sTsxbUbgi1caIMS3iIig253m30oAgRKefqAEaOghd4GlHBg2bBiuXr0KNhyzbNkycZamy2tnS9SxzZXFgt0UXGWu31nZPy1ndfMueeeq66rvbjmTgclYVH1WnpGRgSeffBKDBg1C586dxegZ9vv92ASzGSa7EwpvLVTSfCmaBRvMNgekCg2U8nxlEGCz2eAgNTTKnHH0vALl1HVKldAq5dnj7GI5qwcoFDkTpgQbMk0W8RxalSLPcXkbg8g8r97uLOV7jyKB267Goyg9l/mBE+jUqZM4NMMWMunatSv0+uyZj64Ts4yK6enpogFlv7HhGn9//1wDzW4Kt27dyi1n+YWCg4PFpwB2PFvHlA2JuF7csnH88PDw3AgcFnbJPGoWisk2X19f8Rwu79poNIoLbrjCMjUaDZgnzpbQYxtbZencuXOioWT77AUw885d8ezsvOxlKltm79ChQ2KeGXaOx20rVaqU+A6FPZ3xrWQQ4Ma9ZOjxgfWCedH9+/fHzZs3MXXqVLD1Rps2bZprHKdMmYJ169bBbDaLMkybNg0dOnTI9X7nzJmDhQsX5oZVsqeAPn365N4kli9fjo8//lhcCYs18Morr2DkyJHiEnhsn437s+Ehdn62NW/eHNOnT0dYWJi4f+TIEfTr10+8AbAfqlevjm+++Ua8AbB9FuLYvXt3MX8M22f11qxZI94A2D67OfTq1Uu8wfz0009g8jyO26RJk9ClSxfodLrHsfslss98WKZEqvX+d4ol12LDFyySxsfHJ3foJb/nHhERAT8/v1zP/dq1a2Bx8i7PPCQkRMy+6PIQmefODLfLM2eeO/PuXSGWbDIV8/5dnjk7NzuHy3NnaQOYAWdDGGxjHjiLW8/rueddSo/VY6GPeT13lvK32DDI+4/T41pkT0vsiculF48TkAvkNgFu3N1GxitwApwAJ+D5BHhMlOfriEvICXACnIDbBLhxdxsZr8AJcAKcgOcT4Mbd83XEJeQEOAFOwG0C3Li7jYxX4AQ4AU7A8wlw4+75OuIScgKcACfgNgFu3N1GxitwApwAJ+D5BLhx93wdcQk5AU6AE3CbADfubiPjFTgBToAT8HwC3Lh7vo64hJwAJ8AJuE2AG3e3kfEKnAAnwAl4PgFu3D1fR1xCToAT4ATcJsCNu9vIeAVOgBPgBDyfADfunq8jLiEnwAlwAm4T4MbdbWS8AifACXACnk+AG3fP1xGXkBPgBDgBtwlw4+42Ml6BE+AEOAHPJ8CNu+friEvICXACnIDbBLhxdxsZr8AJcAKcgOcT4Mbd83XEJeQEOAFOwG0C3Li7jYxX4AQ4AU7A8wlw4+75OuIScgKcACfgNgFu3N1GxitwApwAJ+D5BLhx93wdcQk5AU6AE3CbADfubiPjFTgBToAT8HwC3Lh7vo64hJwAJ8AJuE2AG3e3kfEKnAAnwAl4PgFu3D1fR1xCToAT4ATcJsCNu9vIeAVOgBPgBDyfADfunq8jLiEnwAlwAm4T4MbdbWS8AifACXACnk+AG3fP1xGXkBPgBDgBtwlw4+42Ml6BE+AEOAHPJ8CNu+friEvICXACnIDbBLhxdxsZr8AJcAKcgOcT4Mbd83XEJeQEOAFOwG0C3Li7jYxX4AQ4AU7A8wlw4+75OuIScgKcACfgNgFu3N1GxitwApwAJ+D5BLhx93wdcQk5AU6AE3CbADfubiPjFTgBToAT8HwC3Lh7vo64hJwAJ8AJuE1A7naNe6hgt9vB/tlstnuozatwApzAgyYgl8shlXJf70Fz/i/b/0+M+6FDh7Bx40YEBwf/l33j5+IEOIF/SKBatWqIjIwEM/J8KxkEHrgmdTodDAYDRo4cWTKI8V5wAiWQwKRJk9C5c2d4e3uXwN49nl2SEBE9yK6bTCZxSOYBn+ZBdoG3zQmUeAJarRYKhQISiaTE9/Vx6eADN+6PC0jeT06AE+AEPIkAf4PiSdrgsnACnAAncJ8IcON+n0DyZjgBToAT8CQC3Lh7kja4LJwAJ8AJ3CcC3LjfJ5C8GU6AE+AEPInAAw+F9KTO3m/NjdCTAAAPp0lEQVRZSLAhy2gBCzfKjQaSSCCVyqBQqaCSy/G4Bh84rCakZ5ogOJ3w8vWHVvmQWZAAh1MCmVQKCQSYMoyQarRQKR6yXPf7ouTtcQI5BLhx/xeXgu3idgx+9xukEuB02uAUBMBLjUD/sqjdtBXaNKmBYB8NpI9bdBlZcWDRh+g8Zg6SDVkYsWgX+jePh179sB4UCcakP/GHQY+a5cLgLbmEj7u+i+C3xqJDw4rwVT0suf7FxcercgJ3IcCv6rsAKq5YcKRjz6Fd+Pn8LXj5BcHPzw++8lTsWPcNBr3UEBOW/IpbRnueJgj5ZxUwjz/X689zpOtrdrlrr7DPe2yzsKZynkDyy1jEoeLPhcpnPoc5U7+HKf45DBkzDc9Uj4RaUfgdTqx/xwmyeRQnQ/Y5i56eUbDcjHUDO6D7kr24zPThdOCG4QJSrRYIeU+Uo4uiW85+Qstb5Q7R+Q4n4EEEuOd+H5QxZPRUDGpRHX6qbANmS9qD/s264tv5v6BX83joABjtUsisRmTaJfDxD4BOJYHFlIn0tCzYBAnUOh/4+uigVsjEoRynwwZjugGGLDMEiRr+ft4gqwVKnR4apQw2owGZ+dr0UUthMWUgzeBq0xd6X2+oWJsg2C0mZKRnIstsgUShhs7HBzovDeRSCZwOK7LSM5FpNsJOcqi1Ouh9WF02jFFwE2xmZGZkIMPI5FPAx1cPH28t5LDBkJ4GqSDgjZe7o1vz2igb5AWFLE8rJMBoSIPZAVjMRpBch6BgXyhggzEjFWlZNrFNX31Om+KjT478WZniUJhTIoVG6wNf3xxm7MYk2GEyZiAtLQt2xtTHV+wDzKnIUjlQWTDBlG6CXR+NiavWQ6Lzg5dKBsAJm8kIQ5oBZpsAqUIHvV4Hb61SfOqyGTOQIcigIiPS0s1wILu/vjqtyK4gHf4LJ+ABBNgMVb7dGwHj6R8pLjqM3lu2n1LMjtxGBLuBvulSgUIaj6H9F67Q8nfjKDyhASX4BJK/RkNvfL6JDu1cRSPalaWIED356X1IXa4tTVl2iJKz7OQU7HRx3w/UMyqKQn30pPf1ph79+9EzQUE0edkBSjVn0sp8bb7+xc905o+tNPGVaCod5kt+fr6kLdeJPlt5hFKNdhLsqbT+s6EUHRVBej8/8vVWU4s3JtKByylkE+x0fvt8eim2DIXq/chPryNZzU40a9tZyrAIuf1yfRFsGfT7sk/o6TKRFKT3I72PF9XsNJI2HL9KKX8tp1rxsaSUSkmt9Sb905PowCUD3aZDRJbTNLpiNPkhmlQaX9JoXqSffjtHv2/6itpHR1GI2KY3Newxlracvk5mh5Mc1mRa/9VQKhtVSpRf76sjVbm2NH3dKUpj7J12unlsPQ1tX4bCc5iqnuhEn244RF/3qkFl9VJSqLXk0+QDOpB4kEbExdAMkaWDrGl/0g8TulOZ0qHk56cnnTaO3hjzPSVeTyeH00Kb3m9JER37Ubd2kVSmFCtXUc2OY2jvxVtkc7qo8E9OwLMIsCEBvt0jAZdxf2v+Njp3NYUMBgMZUm7SmT3fU7OoMApoOZUOXblKy9+Jo3B/Del7vU2Dh7xDa3avprYxURSkb00zFm+n33evoEHVK5CvrCbN2Z5IaVf3UJfykRSs70RfLf2Ffln9KcXHlSaZVJJzI8mgFfnaXL1vG/0vpiyF+z5DUxZupIP7NtCohErkJ2tI3+09T8nHvqW46FBqO+or2nX4IG2a/RZVjilFPWbuoGvJJ6hfXDT5tRlGi3cdpAPbFlGNKuVJ32QaHb2YRnfaLydd3DKJYkuXIn3n92npngO0Y8lUqlY+gmQNR9Kuo0fpty3f0nOlw6jn6C9o6+HzZLba7yRsOUnvVIymAK0P9Ro+mIa8O5d2rp5C0VGRpG/9Li3e/jvtXvEZxZcvRbK2U+jAZQOdXzuOKseWpjbvfk7bDx2mvevmU7eyoeTdZCIdYjeP9CM0qEJZCvV9mqYs3kq/7V5Br1UtR3rVAFq6bAWNfC6S6vYcTUu3HqeMlCPUIy6aJrKbsjGdlg2Ko8hQH+o1YR7t+2MvfT3qJSobpKWO09ZSUnoqregfR+F6pr8JtHjbL7RwXE+KCvCmV7/cTtczbXf2je9xAh5CgA/L3Ienpy/7DsCBJ4Kh0ciA9MM4et4OASqMf6spYoN0OGMEKLY3VowagQbRgbi2aRJOWG0YvvQDvNa4MnwUEtRYp8XuJq/jx1+OIPrv3fg1y4b3l45C18aVoFM0wmpJBpr2/ThXWluBNidjiDUdnT8dgZebVIZOJceAhWOxtO0g/Lj9JJ5oLEBOQKCXDj4+wajU8R3MjnoOklIx8FWkwqEiVPH1QYDOG+ERLfDT16XwlyUIkYGa3HNmfzFh39JvYbW2xcrRA1A/LggKPIEVWgua9/kY+66+iD4NayPaW4OIhHpIqFgGamWeIZmc1rIA1BowD2OHvYBIf8Kq/9WEJbUO5g3ribrlAyCXRWPW0CPo9P56nLrYHnEUiZf7fYQuLzVGiI8a1gh/NKw9GVtu2GB1EtL++hUbLTb0XjAZvVvUhJ9ahqi56TDPSUVIwpOoGqzFibgE1K5RDjrtObjGmij5IBauNyG2x1yM7dcKkf4a1K1ZHs7EJhixYj8ut4+HhQ35lO+N1aP6oF50IOT1g/D7j7tw6nIKLDYBgCIfI77LCTx8Aty43wcdPNmsNupUCYDECTjN1dGoUxU0b9US8dGBUMnNYLGS8gqR8FcrwYAb06/CKTRBTJAfVPJswycrlYDXFVqsY+/7rMxy90SVUsHQ5LyIDI2rAoVafVvaAm2mwSkAX/Zvg20yKZIQDSuSIJHYUMpsgSq8HBqHhmHlh/3wwwQb4hp2QOcundAuwRcKnTfavhiKvV/PwEsrJsMWWhOvdeuKLi+Xh1KR/xIxwrDXiWqvNUbZYF2uWYuoVAVKtRrpWVYIdjmMbCTbYQXICYCNa9+5sfIGT5SFt1YFiOaTla9CjxanIZNeBaIjgKQkSGxW/HUtDc8+0w6dAnZj4+yPcTzxT2zc8wfSbt2EuT4glwLX/j4Ou60mqpYJg0YcRwdCnuyJ72sTJBIzlkgAcjjYG9E7BDGnX8dZwY7n4yPhpVHmlAXiqXaN4P32n7iSYgSz30x/vmplIT25ozm+wwl4DIH8f7keI9ijJMjTrw+844VqAdmNQEKFSOjVStFhzDZ1+bxZwQETEZgplEjYS8xkGG12CMyISwCB7HdG1eRrUy4xQ4JI9B79Jp6MDoZKagdIAVitUJaJh39gKCasX4eeh/Zh965tmP3DJozrvQizeszChrEv4qkB67C61V/YtXMzts1ajNXTB2H2+K1YdfgzNKsahpx3xeLLR4eCYBNlu20onZZs+WTiy898fSsAxPWDg/nE4k72/43w3sTOKF/aFzJ2k5NLYbdZUSY+CqcXDcUr41chXUhA157P4KOZPXF+5tv41CqKJM4tAOxiXL1ovyWA056Jq9cN0AX5iFxz3XXX6dmnVMWAw2wV4GTwxc0Js8UGkgVCq1DAZLpTf66j+Ccn4MkEeCjkfdCO3WEFiR7qP2tMrlRDKVmLwyf/RlqmDQ67Fekn92GOxQKjUg5v/3CoZSux/+hppKSbxKiaI7v3wGxk/m7hm1IfDqXsErxLVUXjZ1uidev2eK5+GM7v34HEKym4sPNrdOq/AKaIuujz/uc4dmI3prQvi/SDF3H9/F6M7vQq1l/3xQuvj8Q3x09i2UftERFoQZbNAedtGw7AF2Wf8cKf23fgZFIyTHYH7FYTju/fA7OVEOHvDSVzpd3aJIBaA0jKoHLdp9GiVWu0bvc8nvDLxB/b/kSqMQXnf90Fm7E1lv2yENM/GoL2zWrDR6mChIUvAvALqwCN4g8cP3FBfHpgTJO2fI4mdethwe6/kGUnOAQ7LPY7+6PSB0CnlePk0RNIScuA3WGHxXgJO5fugK1CJEL81OLNtUB37mBSoJT/wAk8dALcc/9XKsj2UO82CzW/HxvdtDualt6Mma9OguLzvqhXOh1L+oxCZnoI3mtWFVUTqqLjp2sxu+97MF3pgRjnMcyYtwKXk83iDEsmcv42o55qj9YRP2Luq28BU99FsypKbPv8bXyzPw1vt+oHrZyQfOgrjJpux8COT8P71mGs2OeA9LkoBIT4w5p6FmPfnwjH4O54MsyBn/f8CpLXho9Knm8Slga12vVC2KZpGDLGG6PfbAX99R0YMGEl0iv2R/WYUtDIrxaQLz9mUf7cTmjwVJeBKPXzOLw0VolP+7ZHeeNxTB4+AycyOuPFYTqYfHRQSs/itwOH4GXU4vDKafjkSDJSwtJgEhwIqt0UL4TPwdzeH0Jj7Yt6Ybfw9aB5MJm6oW5kKC54qXD4p4VYGKzHgBeDXQ8MkAXWxLiXwzHoq0EY52VFr2ZxSFw5BTOOpKPR0OoI02uQmF94pwTs9iW7m+Lz1+P7nMB/ScBDXuw+kmKYzm2gerWq0ccbjlB6ISGD2Z0y0YYB9ajHjLV0yWDO7WfGhd00tnN1iikVREGBQRQU3I6+WHuCMswOcgo2Ml47QnOHvEwVo0tTcHA3endoTwoJrk1fbjtDmTZjoW2arvxKUzonUKzYZiAFBTenDxb/SgYji+jIoN0LxlL1ijEUFBREgUFBVKfdaNqZmEJWgejKwWXUp0ZlimRl+eTJFTr3i4NOb55FtapVEGUX2+r2Ae08ZxDbIutpGl6/Fn2y9g8y5AkRza2eUz5zwxEy5OF2bscCqhVfMVu+wCAKbt6flh64TCa7kwwnNlC/J6pmyxcURMHd3qMPJg+iKhWfpW/3nqUsu5Pu7H+e+jY7nVg2nmpWjqGg4Gdp5W9baVDdPPJZr9OqD/tSldhICgoKpKCgYOr/4VK6bDCRk0y0akA96p5Xf44L9FmD2jTg4w10Ld2S2y3+hRPwJAJ8sY7/8k5a4FwCzJnshZ0UGp0WCln2hCHr1V2YNPMAGnXvgFplQ6AkB879/CFaDTyIqSu+xPMJkSh6Jr+rTSeUOh3UMjaB6fbGJh8ZLTY4pUrotGpkj5G7ym3IzLRAEKTQ5pHHVVrgU2ATmWwQFBrotIp8bRU4+p/9INiQabRAcEqh02khk+Ud4smRT6IoRHZX867+S+Gdr75gs8EhlULJmBTiddvMmWL0i0JzezKZq1X+yQk8agS4cfdAjdkubkCjdoNwJLQxPuj8DIKNx/D+lO+QFtwVq38YirrRAShiNr8H9oaLxAlwAg+DADfuD4P6Xc8p4PyeH/HhgEn4OSkZZokE9Vu/hbdH9kPtSD14nqu7AuQHcAKPPQFu3D38EmBDCSRVQCaTPLbpgz1cRVw8TsAjCfwfsUllCFigr1YAAAAASUVORK5CYII=" alt></p>
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<p>products lower than reactants <em><strong>AND</strong></em> enthalpy of reaction correctly marked and labelled with name or value<br>activation energy correctly marked and labelled with name or value </p>
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<p><em>Accept other clear ways of indicating energy/ enthalpy changes.</em></p>
<p>(ii)</p>
<p><img 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FKlijD6k9VifpPmZ0UWmyvHkvFCShLJR3l1IwsJ9GXNXujJBgx8kw18exDr160dc3H1ZO4VBrDNx+KYUnWNTQoNZO1GLmaX7yYwlVrNru6YxYIqe7DFf51gETNbsLpBE9k/l+KYUqNmypuRLCSoChu34QhLSLrExoUEMt9B89jxuFRmYCq2d3pzVidwDPvn/CE2LDSQzdpygiWq1ezvr1sWnY8qjW19P4RVaz6K/X7pIdMYDezk2mHMv2I3tuVENFOrrrL3c/JKYev71mQV35zNDl+9xzJUaSxydnP2ypSl7OrDNPYkcWnUajXr2LEje//991lsbCxbsWIFu3LlymOj4liyP8sqr127drHLly/niTD01VdfsebNm7Nr167xSD8W6pgyGvmlqBocgNqVXXD7yAb8feQWMrxG4c/fP0GrGl4w3T6C7ToNrsTcRMT2rXB3lEKSmgomcUBUggl9R0ZiR58Y3Is7g8iT93D98gkkJqfDjlqTeh9XjXq827slgtwUkECMThP34MBHIjjK7uAHWvuDdMYytP5oN3b0uFNoPiIRoFMC9bp2RFhFF9iLJQhr2hEOjj8LOQAGKHPyksOvjSc8v5uFYTHH0K1TV3RsvxJLQ/zh6SLHk8z6aY1LEXrGjBkj2OtTRJzn5SC3Xjqy/RXIP4Hi/JNAkJZ6FOiTNB38eDoEyoj89dF/xGh0qVMN9qIx2PXlixg1dxF27e+B2pVaQ6EzgKR78v1ncM75PmRSMUxyN/Ts1h8Nqnri3h8r0HfiIiSlqiCTNECPfpUgEosFkmlS4nDbqEdN9aOoMUwsg5Hi0ZOPC0n+iNkw4fbu5XhpDC0PCubzCFZ6UWRKGgvdVU7IS4ym70bgh2oR+Gn1HGxefBBLZyYjuP9CrP9yEGr4KMx6AdD6ft26dcJUlyT9tWrVEjz0so1iHtXNds/IR4Fs+8mikdb+5O1H246ROpBkHpz8T9/3ZSTtBww6gd8A3NBl/E8YHByKlSMX4u+LsTC5+EBhL8PA2VMxZ+EqrFr1A5bNfg8twsNQ2U2J/Z8sQ1qDEdhx+hruxv6O+Z8MRCN3BWhlLa8cgjBHB2iT06DWGmA06PHg8Bo0bzoVey89hI4BzMhgMCbgj0lLi8wnG1qifSb1s688+qRXSGZeaTi0ZSOuO7XA1HVncfXaRfwwJhBxW7bh3N0UaMzUKlKMfNoog2zbSbBH+u7nifiEMBkyEfm//fZbIfgHtZ/UnYQNuS3nVgc+6hF+Zg4CZUT+fBNheQ28v3AcAoKOY+rqHYgW+ePjRhWx75PPsWbLnzh77jAWf9QTEz4fg5tJGZA7KyB5+ADRUXdw9eI/mD98JM7F3YNSYwRzCkLfdt7Y9dk8/BxxCKeP7cGcod9CW8sPVT2dUdFRhj+3bsKeU/cAeweIi8oni7AZIhHyclcsLBqYSIIKDtl53cKVuSsw+eWp2PDbYVy5eh33ogEHp/qorJBDZgbK9KOnUZ988Tt16lQuttY25wdlqbQk1CQHJgr+mU12MgYiE+D//vsvRxVoqfKey3wsJDsQsimJwE91cztr0fg9FnH2LlMbc5euYnu/HsTqVa/KFu27wNISr7PVExqz0AAv5uXlxby8O7O5W0+zVLWe3T26njWtXyvzupc3Gzh5JhvbLYy9OnMri05UM5Z2NfNZ/8xnvTuPZVvP32dqg4YdXTaK1Q/xZ96d57DILd+zxkXmk8i2f9CCvbcskt1N1QgVzaz7OBZ5IY5pTNo8eR05uptNe6M+C6rsxbw8qb692LLI/1iaxpC7kY89J4FWjRo1BAFfenr6Y9PbcgIK+Z2SksIotDcdFNK7U6dObNy4cSw+Pt6Wm/5M2iaiUiz11qNRi1QxFIiRrM8sESxSp06HRieCg8IRMknmul6or1GHdKUGIpkTHB0kherS1enp0IlEUDg6QpIV9KJAW0uQT4FnirxghDpdCZ1RDLlzvvoW+cyjG9QVEyZMwLZt2xAZGSmscR/dfX7PyN6fsCEjINpV6M8//8TKlSsRGBj4/IJigZY/E4EfdRx5bpEQ50mPjNRMi68CzxtSocsbC6JAktQsa7ECN3JfKEE+uZM/7rzI+hbzIDnw7Ny5U4i+Q2tcwu15W+sXBg8Z/FDUX9J8tGnTRiA++YT4+fkVGa68sHz4tbwIPBPyk6Uard+io6Pzls6/5UGAXpC0viVvPVJnceJnwkOBS8jw5/XXXxd8/Mms+dixY8IsMzuaUR4g+ZcSIfBMyE/CGxJecdvsx/dJly5dhOm+LVvxPR6FvCnIwpHcfknvT7g0bNhQ0IbQTImTPy9W5nwrQH5yiDFBDLFYZJZuurhCSSdLQRn5wRF4EgQoOhHtNkQHLYUoyg/NjiiCMT+eHIECSqiMe+dx9vIN3E9MhVr7yIvtyYvgT3IELIMACf7Iw7Fx48aCDOn69es8vt9TQFuA/NF/jsSQng3QceCHWLR5D87fvovkdBV0+nwutU9RKH+UI/AkCCxZskTw7iMtEjn6HDlyhPv4PwmQWc8UIH/1Xhsw7+tv0fTeCSwc8ybahYdi+LhZ2LbvBO7cT0C6SgOD0WLawaeoOn/UFhCgdTxN30nYSZ8kHKY/Ws/TSE+ejBTdl6b7zZs3B432tOMPjf4U2ZfS8uPJECiw5rdzq4b2fd5F+z5v4UHUJRze+zt+nj4f76ycCWVAK4x4cyD69uiIesFV4a6wg1iwbX+ywvlTHAFyYKLYfUR2MmOmP5IR0R+dk26f9Pkvv/yysNYfOXKk4NJLbr5kD0EWf6QZyd68hCNacgQKkJ8s2ckeniLkSKSu8K0WjIAGCrhp9bBPvYJfFn2Cn//3IbpM+BFff/AKqng8mddayavIU9oyAqTdIGcdil2Qbcab3V4iNBGbpvvk40DfyYCMZgHk608vB9ICUHgzSxiUZZf7vHwWmPYblA9x7tDvmDt5GOo1ao6XXv8APx5pgKFTVuOf0//h9vUzWD+5K/5dsATHbj2ANq/h+/OCG2+nBRAgoy/6o/h9FJs/d3QiIjr5N5BXI9n0E9GzD1IZ04uCSH/q1Cm+oWc2MGZ+Fhj5r++Yirc+34nYZD26vDkaA197FS3r+cPJXpqj+uv0+hvw274O4gJPm1k6T/7cIUCjNm07RjH6aP3+77//CnvyXbhwISc2PxG/evXqWLZsmbDOz/1SIMDIxJeepUCmJPQjWYGPj89zh+XTNrgAfR2rdsSkb99E48b1UMXdHhLBAc8EfZaJrEgkhtSvKyL3vgxHF/M81p62svx560WAYhQQ4VNTUwXC09ZitP0YEZ3887/77jvBr4HMdslvnwJ3kFCvMGMncu2lMF+0ZPj111+FgJ+0DXlhaa0XsdKveQHyewUEosKpWFw49Acu5PO8pepIFW6oVi0QAX6VIMsKoFH61eQlWCMC5OiVPcqTZD57lKdoPERsMvyiyLzBwcGC1H769OlCOHciPgXxkEoL/DwFGEjY99lnnwl5LF++XPDxp/S2FM34WfR3AXSj/xqB9yeeQWy6E+Rye0jFFF/TAHVGGtR6e7i42MOoTceI+bsxvn9beCtkz6KevAwrQiCb8HFxcXlGeZqaE3HHjh0rjPbZ+w1S02hWQLvzfvzxx8JncVuL0/r/1VdfFQJ+UBhzerGQtoCT37wfSQHyewT2gdQlAW+NmorhA15GoJccqbdPYe0XozB3V0ss3fAa7m0di1nj16B9szB0rFMRdoXMEMyrBk9t7QiQ4I5IT3r7w4cPC6SnT7LII3NcEurRKO/r6yt4LeZvL5nwkvcebUJSHPFzP0eRjmjWsGbNGmHdT/IE7gyVG6Hiz/OR34CLh9ZB3WECPnjnVdTyzdz40aVOR4yZPgU/ndkCVKmB4Z/NwPL9PyJFp4Vg78PJXzzKNno3t/COIu7QtJ7W8kR6irlHgTiJ8OHh4Xmk9YXBYa6qjsr+8MMPBUEfzTBIABgQEPDYcgor+3m9lo/8JjCDHaBRQqnWQG90glQIq69HRkYyTEYRjAYTNEYpTJDkSP+fV/Ce13ZnC+9Iyp5NeBLeESFJeLdgwQKB9ORxV1ojMeVLgr+9e/cK25KTvr9ly5ac/Gb8KPOR3w7BDXvD48f/YdZChuH9XkJwBTs8vHMCa2Z/A6WmNypo4rHt+wVQq6vC3S5bG2BGiTypVSKQW3hHwUWzpfWkoqN191tvvSUQnlR0z0rqTpt4NmjQQAj0SfWgdb+Hh4dV4lsWlc5HfsCv80jMGHYVk5fPxxs/zqat7CASSyCVNcKcX0cjxLAJn/xxCy+MH4Vwfze+3i+LXnuGZWYL72jnoNyjPO2aQ1F1PvroI2HEzS28e1bVI/Ue/VHdSFNA/gF83V9y9AuQP/1eNCp2nYXIvhmIjo5BSqoe9p5+CAsPgZeTPZDxDrbufR/eHk5CPP2SF8VTWgsC2cI7ksCTEU22io5I1rRpU0yaNEkY5WnrsJIK50qr7VRHmmnQEoSi+pLhD4/pXzK0C5D/+s630G96RcyPXIXO7WrDPr8wz9kTlTPlgCUrgaeyCgRyC+9oQ8zco3xoaChefPHFHOFdeSLX+fPnMXHiRMH77/Tp00Idy1P9ynPnFyA/kzYG/BXQ67VQKlUwZZr4ZbVBBJk96f7zvxHKcxOfoG6M5WzFnb0T0BPkUoJHyDX62WJJsZpzO2KS8I6m9tnCOyI9Setp9CfhHUXQIYk96dBLS3hXAqCKTEKaBPIBoCk/6fvJDbhChQpFpuc3HiFQgPxBdUJhHzsbfV8/hYHd26CWr2sO2fV6V3Qd/CpqVXKD7Nn+Zh/VuFTPTNCpVUhLTkJSehq0Jhmc3SqggpsLnBxkJXJfNuo0MIrtMsOMF4sRgzLpPtQSd7g5P5sXKjMqcf+hBm4V3OBgJ4HRYMCJEydw4MABwdSWyEPCuzfffBPt2rWziliCZAVI1n7k4LN06VK+7jeDHwXIHx8TD2eFC7zjr2HvhmvYmyezcIR27YKavrZIfgZt6g1ELJ+HiYt+Q3KGBmKYoFUHYdiMKRj71ouo5O5U6P4AORAxLc7vXo+7VV9Eu1qV4WxfwGkyJymgxu9DO2Bp+JdYNaobAj1Kf+NJ9c1t6NBlM6ZtWoieDarh2qVLwpSZJPlkeUfusq1atYKjo2Ouepb/07Zt2wpbl5Pr75UrV/i6v4RdVoD8NXrNxKFXvoRRq4VWp4NJbAdHezH0BsDeXgaZVJpn2ljCcsp9MpP+IbZM64apW+LR5f1vMaRvW1RAAv5cNhwzpvcD89qHKX1awMtRKpg7GwxGYWkgFjQhUmFWYFJfwxcTZ6Lul3XQtKYvFBBDxEyCt5rRKKhNIJHJcmZScAFcJIDISFNvAyRS2nwka7rAjDAYAQltVMJM0BsMMFEWEgmkudPRnsM6Awwmk6CVkcky65INOJlm09SethcDo+4WIfM/BOu4WbNmCRJz8o8va+Fddp2f5JMi/pCV4JkzZ/i6v4QAFiA/xIA+Phr7I7dj598HkVipB8Z2d8H+kyJ06tEGtf0qFBQClrCw8pws7vA6TN+qwouf/ILPB7WBtzP5LARh2P92IPlYX6zYdhpDOoTDTSzGrcuncP5qFNJVajh4BCC8eRMEe7sg7vw5QfB09ug+nA3yQesQL6Q/uC1sKx0Tmw69nQtqhDdDeEglKB65pyM95iL+Oa9DzUYNUcnFSfCk1Dy8jGOX9KjdqDrE8bdx/PQF3E/XwMkrEGFN6iPIyxV2IiOU8VE4efA4biSkQOoWhEYtGyKoojscJGIYdUrcuXgUx8/dgsqpGmo4JUBreBSCjchCI70tHGRYRHp+EvrRup/r+0vQq/k3BTMkn2UTa9ZgVd08mLuLnEm6zWSb101n9UKqMMlLX7KD0cmsqN3nSrJXX/7yysd3Ezv/wwAWUPl99tfl+0yXr1Kq5HiWotIwg1HPjiwbzYL9q7IKTV9kndv6sypeDkzyyhx24m4c2zqxKfN3lTCFqzsbMHcP++/IWlYzMJC5eXiyFzs3Y/5VfZhU0rSa3icAACAASURBVIatPXiHKQ1KtnFwCOsxYws7u/c7Vs/fi3229QRLog0MTQb2z6xQFuw3jP25fzN7tXoQq+hegb3Y2Zv5VXJmkl6z2bG7yUx9/wCbWL0G83PPzL9aVR9m32gk+/1yHNMY9ezixomsemAV5uHZlHl7V2bODhImFrVnW05E59snMV+DrfDrunXrWJ06dZiPjw+7fPmyFbbg2Vc536KU4dae77HNEI5ZEYfwx+I3US3NDgEtRmD17JEIOv8brsckQPPku26V4HVUFknUuHn6FLQ1PeHiaAdJvirI3TzhKreHxBCNHWsPIWzIQpyI+AU7dl/Gjtm9UPXIAdyI0+OlaWvxcqVqmLJyLxa81wb3/10Ge1E/7Pj3Arbt+BuX9q9GsP8tnIuJg1r3CES38B4YXMETu3edQ3yaGib1dWxba0CbUb1hd3M/Tilr4PNN+7Fu820c3jQXje6kIDFBiX/XDseGpCb4bucpbN76Ny4d3ISXUyKwducZJDy8iPmfb4F37+k4fOUv3I89hSVvhcHbqVgpZL6WW89XMvWdOnWq4AZMqkpyMOJH8QjkI78G//3xL3xe74HmIX5wkWkhEplghAR1u/ZBW9ck3IlLgEb/6IdbfPbWclcEB1c7iEnFZ3o0Lc6uPUnwVWotjFJ/fL7rN8zo7osbJ/bil/UrsW7nv0jNUGetow1Q0t7ywibeMrT+aDd27BwIycMziNz0E+Yv347E5HTYSfOq2yCpjBdHt0F8xD5ce5CMB2cjEWmoinataqJG8/bw8rmJcT2G4cPJc/FXWjDW7piA9rVckHCLQad9iAv/7sDG9Wuxaf9V+DAJ/rlxH/dvnsG/egMGdG+Myq6OEEl80P3dD+HqScI824u95uXlBdrZhwyPSGtBMgB+FI9AvjW/HSrVd0LMkRt4mJwGN0jBjEaIdVpkXD+HA1qGgYI9v62NHnIEh7eH/Q+xiE1SQV/NHfbZtgzMiKsRK7ApyguvvdEUZ5a+j6mrTyNdwxDcuieaVqwLSX6pviC0M+H27uV4acwCJKWqIJM0QI9+lVCU3UBIp9dQwWMwDly6gPQzS8CajEQ9vwrw9OmBzStdsXnNz1gRsQJ/bpiDlLSu2HBwAh7GGmGSHMGZc164JZMCJjm8e/TCYE8HONuLwFAXbo5OkGS1RaZwEASGxf8krPcuEZ7IT3b+tO7n/v3F92U+8ksQ3HwUPBdPw5fz9Wik/h0ZF5rgwB57fPvNPKSmd0WLoMpwsss3YSi+DKu461m9MdxcxmNNRHvU8u0Kfy+S1RuhST6HNVO+xU+VhuHFRlpMX38ercYsw5whneHtKML5jZOwY9udnDbSa5EZGQzGBPwxaSnSGozAjm+Ho1llBfQPDyB275+wy0lNsZIz/yQ+jTChtQdGr1mAXw+m4vXFjVDZ3REJ/+3CL6dE6DdlLkZ/44A7h9ei85tTcfzOcNRwtYe066eYOmMIwv3cwfQaHNm2AfFVGsLLMwoKu3M4dPoW2lavBDtH4Pb589Cpqe9sr/8I0qNHjwoCPzon4R8/ikcgH/kBtwavYdEn0Xhvxo9YFKcBEx3AjC8OQipthM83fIDGQRVs0sDHrV5vzB6wCB8uG47RsRMwqE9reBpiETF3KrampOPDbzojJEgJN4Uj0hMf4nb0LUTHHMWQGTsQ/bCqoGpjkKCCgwx/bt2EahUHAPYOED98gOioO3BPTkTE1FE4F3cPtTVGwWFK+JGKRFmTcGe0Hfgm3AfMxjXjS2hdLxjOciniYg5izZxVuJn+Pwx8oRFSbt6BWCaHr0cFNOvTFz4fz8O3P8jxXs/mSD+xHqO//gVtJq5Bq/BwjG1UEZ98/C0CFSK0qBCDLyeuR2xciLAoKbi4Kf6HYg13KTQYORzRtJ/8EMi/v6hQYNbQnlKvY6EyRpORpcXdYMf+/ovt3b2b/bX/FItJSmdqrZ4ZTaZCH6GL1ivtz2qSIZ7tXT2L1QsNZl5eXpl/zQayRTsvsDS1njGWxv5eNoHVqxmQec+7M5s8bQILrVWTzYk8y5I1anZ02ShWP8SfeXeewyK3fM8a16+VlZc3Gzh5JhvbLYy9OnMri05MZNs/aMHG/bCXxaVpMyuQfpwNCPFnTcetZbcSlJnXDPfZ9jkjWFhwtZx8Rs7dyuJS1czEVOzUlq9Yg9rZ9fVmAz9by24mZjAjY8yQfJHNf78Rq1Etsy29ejVjgYFj2d4LD5m26G7MAsM6PyIiIpi/vz9buHAhS0tLs85GPKNai6ic3G8YZtQhPuY6rt6MRqqKNurMfVeO8NYtUNktUxed+w6dk6VYnTp1BEuxQYMGWe9GCkY11AYRTEYT7BwcIM0XqFSnVsMgyvJzED1mN2OjDulKDUQyJzg6kBFPftQE5KBRqpBxYxda9p2CYQt/xbAOdeCaKz6aUa2GkjzY5Ao4yCR5DK2MOjWUGh3EMkWhZejU6dCY7OEkl+Ws/wurha1c69evH7y9vQWzXx7Su+heLTDtT7/+G9p0HYe7CWmwpx9ZnmdFWPznQXR3rQl53ht5Uln9F4kc8vz6vlyNspPL86zbc90qeCqxg7NL7lV+wSQwPsCWr7/GqmUbkFJ1FNqFVIUiF/HpCYlcDhe5vJCHAYmdHC52hd+jB+zkziWvb6ElWM9FGstoE0+y9OMS/+L7LR/5Ga78sQZ6Qwi+WDIZPZoHwtEuNwskcPP2hINtyouKR6pU75ogkWpQpc8wTB4xDGFV3ArYGpRq8TaUOW3qSdt/UXBPHtyj+I7NR34NYi7GoFL/8ejRqQmqe1mXg0fxTS3HdyWV0X/qEvQvx1W0lqpRRKGwsDDcvHkTV69eFXb+KYsoQ9aAV74xXI7wbl0Rd+gszsfEIVmZuUUyTZ/oT6XWwJBXCGANbeR1fM4QGDFihODZd/HiRT71L6bv8438gHeQH6T3PkPffsfwTt+OQgBPkyEzBy0qou+QPgjxcbVJdV8xOPFbVoQAuSfTH4UT5+v+ojuuAPnjLt+Bi6MC3g+vIeLHa/merI/wrp1Q3ZuTPx8w/Gs5Q4B0/Bs3bhQs/cpZ1cpNdQqQv0bf2Tjed3bBCmaFtirKPLXgA/wKR6DsEKBwZLQnYGJiIgIDA606VkFpoSis+ZlRi6TENGgNJsHclBw/dGoNdDnfAaZOwI1rt5Gm0WWlKa0q8Xw5Ak+PQMOGDYWIRPQCIA0APwoiIJBfFxWJlk1HIOLsPWjJ4csQh99WrsS+i3FQ6TOtfNRREejZdQh2XbwLje05hRVEhl+xagS6d+8umPdSOG++7i+8KwXyGw06gGU8cvXUpeLnxXNx8EYMNBR+ig6JEyD4+eU3/Ck8Y36VI1CWCNCW3RR1+M6dO3zkL6Ij8qn6slJJABcRQDZjtmzIVwQm/LKNIEAbeJDEn9x7+VEQgcLJXzAdv8IRsDoEKJLv7du3hW3CKYgpP/IiUCT5+YifFyj+zfoQoG3Cybrv8uXLfOpfSPflUvUZoFSmICnZGQ76NIiNRqiUKiQnJYOM+XVpaYWGuCokT36JI1AuEKCNRCmyD80ASOKvUCjKRb3KSyUyyU/uqdKLmDPiDcyzz4wpfTMuCbo5o7Btnj2yruBeQjMYRWKu6isvvcfrUSwCNWvWFIR+UVFRfOQvBCmB/FI7d7Rt2AHJTA+xLHMlQH75eY868AyqBC9nBxsNApW3tfybbSBAQr+///6bq/sK6U6B/HbVOmHhz50Kuc0vcQSsG4GEhARB3ZeUlCRsPmrNuxJZuieKFPhZuiCeH0egLBCoVq0a7OzsBPdeHss/bw9w8ufFg3+zMQRom3HaspvCeXNLv7ydy8mfFw/+zcYQCA4ORsuWLQVdPx/583YuJ39ePPg3G0SAhH5k5svJn7dzOfnz4sG/2SACOp0O5OBDG3nkC1Ztg60teZM4+UuOFU9ppQhkb9dN+n56EfAjEwFOfv5LsHkEWrVqBVdXV5w/f75ooR8zQpWWhtTUFKSkZP2lpiJdqYLemB3n4umgoj0xUhMz8sTJeJIcmdFgkTrlMu99kmrwZzgC5R+BunXrguz84+PjodfrC6+w7iaWvDcFhzNSoNJLYCJPdkcHVA5oiFf6DUL7Bn5Q2D+dO7suai8GvHgAIzeORfsGFZ8sBD4zIvb8AdyW10b9QK+n2jeTj/yF/xT4VRtDgEJ5FW/ma8Cts2dw3602OnTqih7du+OlprVwJGIlercei78uxEFroi3cTWAmE8hL0JgdyZqZYDQYoNfnupaDHxPuGQxGmPRK3GRXkQqtIHsQ8spJByHfPFvEZ+drMMCUtbEW01zHxP7DsOdCFFTGzEA7LCsd1Sk7Xa5sizzlI3+R0PAbtoQAGfrQBp7F6fppX98efd7C0JfC4W6f6df6ducaaNZ7Mo7fuYvWIQrE3ounPYBx924yHAPqoZavHOrEKFy/FYNUlRReAcEI8qsIFwcZRDAgI/4url69iVSjC1yMidAZGQTSUVi8qCR4BvrDTW4P8phJuHED8XJPBPq6wQ56JN+PwfVbd5Cqk8DXPwQBVb2gv30JJ3QaOET/h5gHgXCu6Ijk+9G4HRUDtd4B3v41EFDVE04lmKVw8tvSL5y3pUgEyKyXTHyzJf4iUUGndbqiM+hgMOhhlErATAaIpVJAJIPEJIb+1l/o2utDXI9Lg4vcDuJhS/Bzo1iMnLwAickZkEkYtBnJGD43EuPeaAdX5TF82uYd/JqQBK1MBJ0yHemqlsIW6UJYvB6fYdqmP9CzQSjkYjX29OuJyS9Ow96J3eDy32a0HzID8cnpsBMzqJI8MGnLGnhv/Aqa+w+wcfoYXExT4Ou6t/DOlKVISkqHVGyCKikAX/y2BkM7hsDFrviJffF3i4SS3+AIWBcCTZo0gZOTk7CTT1H6fnL4jTp/EmeOHcWxY8dwYO8WfPnpp1CqayC0mi+kMgoIwhA2dA4iDxzAyfer4rcp86FuORK7zt9A7L3/sOHjcKyfNA+Hr0Zh14J3sUPZDHMjzyE69hq2TO2JSh6ZPrKZYfEaQgrHnGhZsvpAAzcp5MY7WDR8FpQNhiLi7HXcizmHb5q4Yc2ak2j2xVy0r+qHcd9HYOfEDojZsAoZbd/H78cvIOrOSUxvLMbx0zeRqnq8VoOP/Nb1G+a1fUIEOnfuDE9PT8TExAjqPgcHhwI50eZ0v877FDsWyx7tgixqgCmLZqNbXV9IY+gRGYb3aoOwGrUgvrEefxkN+HzYy6jt4wKJBOgy8lt4/vwmTty5DqcTBtQb0ReNa3jCQWKPTu+8D48fFsKAwrUH2XMRY3IsdhgY3nurK8K8XSG1c8PbkRHoqrWDj+IenMQiODjYQySWw7ueB9yXTcMs7S28/FJnNFuyHoMDq8BNkfWSKdDKRxc4+R9hwc9sGAEiu7+/P6Kjo4u09KMQtsPn/4p3uzWCk4xBLLGDvSNt0Z65DXtmJMCW8HJzhVQqgkkiA1AXzjIHSLKYy1y80EQihZ0uEafvGODbWwH7LDd5OLmjjlgixMYsCDWDxACIGGDSZgCsFvw9XGCXlbHE0RkKqRgisQgkmzCJjACkaD9+C+ZXW4Mlc37EzMhNSFeloNfUjZj9Xjf4uhV8weUul0/7c6PBz20aATc3N2Hrblr3F3bQVanCBfYKBVxcXaFQyCHLIv6j9EqAIlozQCSVQS46iyvXY5Gh0sNk1CPl3BH8ozLB1SsQXesosOPyFcSmKWE0GpBx4yROatUgZaPIROTVI12rhd5ohE59D1dP6aBT05bq7nCSXcCxc3eQotTBaNTjRsQcvDp1Pa7cTwMJ/plJBKMpDScj/4Gx9kD8cPIyLl06jsXD/bF32xlEJalAJRR38JG/OHT4PZtCgNb6tHlnUZt4ZA7emev6ohuePTkH5IEtMdzHF7OGfgtv2Ri08E/FmkFfQZ32Ghr7hUDR/2V4TpyGn2q4gTWviH3fzULiw2qCwM/e3Q+uLjfw44btqCRpjdRDM7EiMRaBUkDsFYoxjbzx6cfLUdvTDk1847Hqkw248tInkEklkDtIcOiPSIQF9kbsV9/gq9S9+OK7EWjqZ8D9FCnkFZ3hIBPnyBKKagsnf1HI8Os2h0BISAj27t0r6OjJxj+PxF8kRUWPClA4yIqMVCWSOsCjgi8cZNm08cHQHaug/ewdzJvQB9PUgKjBq1i0cTQaBHlAXnMyvk3KwPjvpuCnL1UIatUAch9PgZgSn+ZY9skgvPP5cgza/A3QqidaOVeFwskBYpEbXluwGunOgzF3bC8kqQBR5xH46cPuCKgsx+tDmmH0olWY41sPP6z4GlHDJ+DLId1ByxZRUE/MWzQANXxdi2xHdseKmAU9HchogcJ/jRo1CoMGDeIBE7NR5p/lAgGS4L/22mtYuXIl2rZtC5mM1uyWOdTp6dCJpFA4OkAifjQ7oNyNajWUOhOcFHJIJHlX2kadGkqNCQ5Ocsgk+UdrI9RqLUQiMezt7fO8rMhHQSyTQSIieURmOpNJDDnZDOQrv6gWZr/CirrPr3MEbAaBsLAwQd1H0XxDQ0OFvfws2zgD0lKL3hcwLa1o9ZuymHtUx+KMk3K3QUdCgyIOeoFQKPPsGQ8nfxFA8cu2hwDp+WvUqIFly5Zh8+bNkJIBz3N0dOnSBUOHDoW7u7vQ6uer9c9RR/OmFo7AihUrsGHDBiQnJxeewIavUihzMnPOPjj5s5Hgn88FAmTo88EHHzwXbX1cI/NKHx6Xmt/nCHAEbAYBTn6b6UreEI6AeQhw8puHF0/NEbAZBDj5baYreUM4AuYhwMlvHl48NUfAZhDg5LeZruQN4QiYhwAnv3l48dQcAZtBgJPfZrqSN4QjYB4CnPzm4cVTcwRsBgFOfpvpSt4QjoB5CHDym4cXT80RsBkEOPltpit5QzgC5iHAyW8eXjw1R8BmEODkt5mu5A3hCJiHACe/eXjx1BwBm0GAk99mupI3hCNgHgKc/ObhxVNzBGwGAU5+m+lK3hCOgHkIcPKbhxdPzRGwGQQ4+W2mK3lDOALmIcDJbx5ePDVHwGYQ4OS3ma7kDeEImIcAJ795ePHUHAGbQYCT32a6kjeEI2AeApz85uHFU3MEbAYBTn6b6UreEI6AeQhw8puHF0/NEbAZBDj5baYreUM4AuYhwMlvHl48NUfAZhDg5LeZruQN4QiYhwAnv3l48dQcAZtBgJPfZrqSN4QjYB4CnPzm4cVTcwRsBgFOfpvpSt4QjoB5CHDym4cXT80RsBkEOPltpit5QzgC5iHAyW8eXjw1R8BmEODkt5mu5A3hCJiHACe/eXjx1BwBm0GAk99mupI3hCNgHgKc/ObhxVNzBGwGAWlptESr1UKtVkMikZRG9jxPjgBH4AkQkEqloD+RSCQ8bXHyU8bbtm2DSqWCk5PTE1SRP8IR4AiUBgK1a9dGixYt4OjoKGRvcfIHBATg8uXLWLduXc4bpjQawvPkCHAEzEOgT58+qF+/fg75RYwxZl4WPDVHgCNgCwhwgZ8t9CJvA0fgCRDg5H8C0PgjHAFbQICT3xZ6kbeBI/AECHDyPwFo/BGOgC0gYHFpvy2AUlgbmFEPtUaHbPkoSUlJrSkSSyCzs4NUIkam9rSwp235mgk6lQpqrR5M6gCFkwOk4jJEgplgZCJIqA7MCI1aC7GdA2TS57V/iv7tcfIXjU2eO7p7RzBv6R6kZChhkklA5CeDCYWPPxq1eAHN6/rD1VH23L0AjKpobJ37P2zYdRrKsLew8Is3UNPHBWUzpWTQJt7G1QxXVK/kDjm7i7VzfkSlV95B+7DKcJKV4Uspz6+pfHzh5C9hPxiVcVi3aTViEjUIC60JB3t73Lp1C2plKpJTfTB76y94t3MYXO3L5mdfwmZYPFnUniX4dPEWVG3TDY38PeEoLcv2q7FrfDd8WG0a9nzYE6GOGVj7RwTahHdD81BfOMm4xWnuHwAnf240ijvP+t2MW7kXo7s1gLtD5o884dxWdOj1AZbvPYtezYPg4GiEjonB9BpoDSY4uXjAQQpo1Soo1VqYGIPM3hFOTo45U1FaUqiUaVBrjTAxO8jlYmgNYrg4O0ImYVCnqyGSAkqVBiaTHdw8FJCJTdCo8uWpoPQ0vWUwaNXISFdBbzKBQQK5QgEnuR1oNlz0vcJGRga9RoW0DDWMJhMgsYdC4QS5nRQmnRKJSYkwGBvgrffGoEezULjZSXPNfhh0ynRo8+MhA7RF1h0wGXVQKzOXEoQXJHZQKBRCmWSZykwGaFRKKNW6R3gqHGFSK5GuNaGqTgW1UgODWzC2b/4dUvcKcLGnDiy6LSJRZl11IhnEJi1UGj1MJgYHJxc4OdpDkmUSW9xPxOrukZEPPx6PgPLqRhYS6Mum/HKUJaoNOQ+YDNfYuNAg5jH4e3b2/n3229Q32NsffMD6tqjMPBX27Ksdx1jU+YNs3og+rFqliszN1Zk17TKSbfjnBkvVGJjJpGcPTu9k43oFsMo+rsxV0YkNfrMP82g8mkVcus806qts5huj2cypo1hVP19m5zCERZ6NZfHXDwt5+mXn+cpItuXQHZamNTKTPpXtWzeDdQ70Y95ubszZMYQN/mQ1u/ogjemLuWcw5TQr68TEtMo7bOeSySywWlXm6ubKnGp1YZ//uJfFJqvYtd9msrBALyYWSZncqR6bu+siS9Uac2WiZBEF8DjOoi9l4lFY3ZlRx+4c/4WN7duRVanozdxcXZg8pA37ZOU/7GGalplMBpZ09R/29YjeTHjeRcEavTKGbT5xnW2c1I8FuMmZzF7O6g1dyq5En2KfhPZha3b9J+BSXFuMpsy6jpnxFZv8/gsswM+LOTmI2WvjF7ErD1JZQWxyNdNKT0mAxY8SIJBN/onrD7CohyksNTWVpSQnsZtH17MXq/myxuPWslsJ8WzryBBWyU3O3HoOYQP7vM02/rWdDQ30Z76ujdiXS39lf/62gvUJC2KOklfYL8eiWUbiKTaspj+r6Nadfbcmkm1fPpnVDvRmEnEHtuFENFOpLrGRoYHMw9GF9R8ygPUbtYSdvXWcfRoSxKq4NmJTl/7K/t61hvWrU505SgaziDOxLOHcj6xmgA97Y+JC9ueB/Wzd9D6shp8Xm7TpGLtzbFWR9xJUj15qAiTGDPb7tBDmX9mF9Z+0kO3eF8nmvFOHVXGWsNE//MOirp5kKz5+mfm4hbOxM5eyQ9fjmVqf+w2iLIDHpn//ZOOCA4usuyb+COtTuwbzbjSELf11D9u/92f2cbcA5i7vzradvstU6RfZpJAAVikbz62LWb0QPyZpP4tt2bKejQuuzJr2HstWbT3EEpJOszdDA9lnW46wBGVqsW15mJGaq64T2dJff2HfjKrNfF0lbOrW4yxJnfulVoIfjBUk4dN+M+dq2+ZPw83ffOEgEyHj4U0cOn0dBpMIs7vWh6eLHDoGsJrDsfW7T9Aq0BO3t03EFI0GY35ajnc71RNkAk0CndGq+xhsPHgJFf/bjX3pWkzcPAND2tWBi6wL/B0S0evjWFDn0ESchIvtx6/EnNHdUMVdjnt/zcYmZTJem78Kb3euIyxBFq6W4Fzf8dj/37uo5BgN6PUICKiCatWqo9FH8+AVchjiQG+oYu8VeS9rJZODCEs6h6UbVAgcuASzJ/SCn4ccnVvWhPFMF3yz7iAGdHwf7ZqFQfGTHVp3exkNgzxhn2/lkB+Ph3/NxqfaFLw2/4dC695QoUfdVq9i8NChaF7dA1KTFk5vHMHmU9HQGE1IvngQ29RavLd6GUZ1CYebgxhbHTLw+nINXOu2ReMWzrhRqzU6tmuICo43BfzsqEWPbUsQNNR3Ie9hx9zxaBHgCekLATj8Rx8k3E+FzmAEykiMmdMhFj7h5DcTUHtHBZxdXCCXkctyOIaMGYZX+nRHffrhS9WAEpA2rA0vUnlR3jolwAagQWBlOGYJA52D66OLgxynEzKgkt8HY0PRuPIjaXRI0w5wcPwZgEmonRJA/foBcHS0F76nJaTCaDBi4YgPcLxxRTjJxWCidKRpjDh18SE+fKcjmlXZilUTB2PeaC3a9HwHr/bvj5cCveET+HKR9+R2eYV16ocxuGHQo2u9QEFeIBRuF4iuI2tjxWoRDAYGg04Jxkww6ADBSyQf+fPj8bi66zp2wKhJ7ti/bzvmb7qO8yd+w7GLCYhPbiHgef/2Beh1wQiu6gH7rPoGdpmAYy+R6lWFTSQTMBiyKiPUWPj3+LYAjPqueV14Ockz+87eAb5iMf6LSYFGR+SXPcrQBs44+c3sxF4ffYHRXcLhnn+Iy5VP/UpucJblFnwZwUyP/KeYyQgtA8QknBNJIIIaeqMxhzxGPdkT5MqQTnP9oKWizBlBh5FvoHdIJdhLASazx4A3VHAKrgUXT18s2LEdF44dwh+7duPn3RH4cPsytPr0Fyx5t12R95aPeglV3RxyChaJM18GBqMpV31MMBnkYCJxJkFyUhd9khuPx9VdFrMLLV79GLFJSjTv1gsdXp+F11QHMXHOA6GAzDqdgU6vyqmTSZeGBwk6uHnaC7OkTHTy1Uf0uLYwYZZQv4ICjtLnQyuQ91WfDy/+tSACeoNWGOkK3in8itTOAVLRDzh66RaSM/Qw6LVI+u8cIjV6VKnigQreIXCQ/ID9568gPk0NjSodR/+KhDKj6GmmncIedmIxWjXrgB6v9Uf/Af3Rt3U1PDj3HxKTtbj773oMnbIddiEdMHnBalw6/wemdqyG0/tO43Tkcgwp4l5cmhpUavZh5+4LZ7kM165cR1JaBgxGAzTK64icexR6kQESqSiXZD/7qeI/H1f3qDM7oVf54astR7Fl5VKMfbs3AqRpkDCaWgAengGQS+1xOzoZ6WqdgOfNiJlo3fwtRFy8K0zdDaQN0Ge9TLOqY+/x+LYUWvP8L+FCE1nnRT7ym9lv+We1+R/Pfz+wfX80rbIX3w34EnbLP0CLSklY/v6nNGNxtgAAAzlJREFUSEupgQ7h/qhZ2xevVd2GpcM+hmraYPibLuC7ZX/jXmJYTtb586zW/lX0qLIDC/p/DMPcsWgfKkLkjNFYfz4Fn/d+G3KDFjcP/g/TxBkY0b8D7B6ewN4rJgT3r4fKFW7gdhH3vBVy5B7zJD4N8UW3Shi98j3MkikxuFN1XNgyG8vS09FvUjtUraBAklBLMYw03c6p8aMTc+vuKqIlxu84e+wv1HFpgNQLezF+wUHEJnojXaWHZ5OX0a3SGiwZ8A0clw9HE+8YLPh4C5TB7yLQS4Fb9nY488cG/FzRCx+84gZRVqUe3xZnXM9fWWPmy02wFnzUJNs5swKhZLmoourmdtaicR02J+IkS86l6stbORWL/KAFG/xdBItOVufcSrv5L/u8cTgL8vJiXp5ezLvZQLbqn2ssXWtgJoOOKePOskXjXmUhgVWZd7OhbPq095ivTy+25UQ0U6uvskktG7N5+cpV3TnKvnqjPguuTHl6Mi/vzmzOzydYslLPGEtmf6+exuqFBjEvKtPLizUbOpMdik5mOlNx93Kq/OhEe5dtmfMeqx3sx7y8PJmXlzcbu2gru5+mZiTXv7l9EmtcZyLbd/kh0+UW9As5FI5HsXVX3WSrRzZmoX6ZWHl592Iz58xkPeqEsslrD7H4DD1T3fmXfdEknAV6eTFPwrPzWLb19H1B03Bxy3TWsHYQo+ciT+5jY1rkwq7YtqhY5KQWbPC8XH2nvcmmt2zMxi7bx+6n6R5hYiNnPJjHM3uPG6FOV0JnFEPh7AiJJHPFpY0+gFnLzqLtoN5oHOANO5MeV7dPxyuTL+Orrd+je7gf5EUuzrLzNEHu7AyZhOQHjw6jTg2lRgexWA5HRxnEuWzui7v3KIdHZzp1uiD0ksmd4SCT4OltXoqvuzo9HTqjCHLB0Kkwu3wj0tOVMBrFcM6FJ9XYqNPBIBbDjvAopKKWb8sjnKzpjJO/jHtLF7ULbXuNxrmKbTHjjY5wf3gC0xdsRmqrMdj7zTuo7+uSZypextXlxdsQApz85aAzo479ggUjvsD2ew+RAeDFgZ9h/LhBqOXrAu6LUg46yEarwMlvox3Lm8UReBwC/wdvtVNI1oIBpgAAAABJRU5ErkJggg==" alt></p>
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<p>lower dotted curve, between same reactants and products levels, labelled “Catalysed”</p>
<p>(iii)</p>
<p><img 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" alt></p>
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<p>second curve at a higher temperature is correctly drawn (maximum lower and to right of original)</p>
<p>(iv)</p>
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<p>greater proportion of molecules have E ≥ E<sub>a</sub> or E > E<sub>a</sub> <br><em><strong>OR</strong></em><br> greater area under curve to the right of the E<sub>a</sub></p>
<p>greater frequency of collisions <strong>«</strong>between molecules<strong>»</strong><br><em><strong>OR</strong></em><br> more collisions per unit time/second</p>
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<p><em>Do <strong>not</strong> accept just particles have greater kinetic energy.</em><br><em>Do <strong>not</strong> accept just “more collisions”.</em></p>
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<div class="question_part_label">b.</div>
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<p>(i)<strong><br>ALTERNATIVE 1:<br></strong>σ-bond from N to N <em><strong>AND</strong></em> from N to O <br>π-bond from N to N<br><span style="text-decoration: underline;">delocalized</span> π-bond/π-electrons <strong>«</strong>extending over the oxygen and both nitrogens<strong>»</strong> </p>
<p><strong>ALTERNATIVE 2:<br></strong>both have 2 σ-bonds <strong>«</strong>from N to N and from N to O<strong>»</strong> <em><strong>AND</strong></em> π-bond from N to N<br>one structure has second π-bond from N to N and the other has π-bond from N to O<br>delocalized π-bond/π-electrons</p>
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<p><em>Award <strong>[1 max]</strong> if candidate has identified both/either structure having 2 σ-bonds and 2 π-bonds</em></p>
<p>(ii)<br>more than one possible position for a multiple/π-/pi- bond</p>
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<p><em>Accept “more than one possible Lewis structure”.</em><br><em> Accept reference to delocalisation if M3 not awarded in c (i).</em><br><em>Accept reference to fractional bond orders.</em></p>
<p> </p>
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<div class="question_part_label">c.</div>
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<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>
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<p>Phosgene, COCl<sub>2</sub>, is usually produced by the reaction between carbon monoxide and chlorine according to the equation:</p>
<p><img src="data:image/png;base64,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" alt></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>(i) Deduce the equilibrium constant expression, <em>K</em><sub>c</sub>, for this reaction.</p>
<p>(ii) At exactly 600°C the value of the equilibrium constant is 0.200. Calculate the standard Gibbs free energy change, <img src="data:image/png;base64,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" alt>, for the reaction, in kJ, using sections 1 and 2 of the data booklet. State your answer to <strong>three</strong> significant figures.</p>
<p>(iii) The standard enthalpy change of formation of phosgene, \(\Delta H_f^\Theta \), is −220.1kJmol<sup>−1</sup>. Determine the standard enthalpy change, \(\Delta H_{}^\Theta \), for the forward reaction of the equilibrium, in kJ, using section 12 of the data booklet.</p>
<p>(iv) Calculate the standard entropy change, \(\Delta S_{}^\Theta \), in JK<sup>−1</sup>, for the forward reaction at 25°C, using your answers to (a) (ii) and (a) (iii). (If you did not obtain an answer to (a) (ii) and/or (a) (iii) use values of +20.0 kJ and −120.0 kJ respectively, although these are not the correct answers.)</p>
<div class="marks">[8]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>One important industrial use of phosgene is the production of polyurethanes. Phosgene is reacted with diamine <strong>X</strong>, derived from phenylamine.</p>
<p><img 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" alt></p>
<p>(i) Classify diamine <strong>X</strong> as a primary, secondary or tertiary amine.</p>
<p>(ii) Phenylamine, C<sub>6</sub>H<sub>5</sub>NH<sub>2</sub>, is produced by the reduction of nitrobenzene, C<sub>6</sub>H<sub>5</sub>NO<sub>2</sub>. Suggest how this conversion can be carried out.</p>
<p>(iii) Nitrobenzene can be obtained by nitrating benzene using a mixture of concentrated nitric and sulfuric acids. Formulate the equation for the equilibrium established when these two acids are mixed.</p>
<p>(iv) Deduce the mechanism for the nitration of benzene, using curly arrows to indicate the movement of electron pairs.</p>
<div class="marks">[8]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The other monomer used in the production of polyurethane is compound <strong>Z</strong> shown below.</p>
<p><img src="data:image/png;base64,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" alt></p>
<p>(i) State the name, applying IUPAC rules, of compound <strong>Z</strong> and the class of compounds to which it belongs.</p>
<p>Name:</p>
<p>Class:</p>
<p>(ii) Deduce the number of signals you would expect to find in the <sup>1</sup>H NMR spectrum of compound <strong>Z</strong>, giving your reasons.</p>
<p>The mass spectrum and infrared (IR) spectrum of compound <strong>Z</strong> are shown below:</p>
<p>Mass spectrum</p>
<p><img 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uVzpxn/ZmlBv/GaM6tI+dmE4RowpdAKaxc1s1p0UzuyJ8fqj/2RtWdvCCCAAAIIIIAAAgikswDfRZrH2acLavM4j2GOwmj5Vj5LN4cNvlmTu7VnzUyNnVKuGutqlhFAAAEEEEAAAQQQQAABBBBAAAEEHBEgAOcIYwoWUlOuaXctDXQ5dXW/WtNWvO1tNWW23tm29hHd2K+9v+JGEG7FEpVXe1LwQKgSAgggkHoC5q+Qdf9Sr3bUCAEEEEDAFKh7n677iwoCCCCAAAKNKUAArjH1D9u+Papes0Qr9/g6nrp63KUXVkzR0Pw2gT1m5vbX7Y8u14LCDr517tf0+wWbRQguQMQCAggggAACCCCAAAIIIIAAAggg4IgAAThHGFOtkAPa8tY7/nHfuqjol8OUF3Z4t7bqW3KzClxm/d2qenOjPkq1Q6E+CCCAAAIIIIAAAggggAACCCCAQBMXIADXxE9g2Op7KrT+b9W+TVlnqNfpx4ZN5l3Zpo8GnJft2/7+em2kG2pkK7YggAACCCCAAAIIIIAAAggggAACNgSYBdUGWspnqdml7R/75z3t0km53hZukWqdrdwuJ0prjCkY3Lu0Y/eXUpsoAbtIxbA+rIA55kjdg5kz6yTC/7VamSnwCu/EWgQQQACB9Bawfl7yWZne1wJHjwACCCDQtAQIwDWt8xVfbT+v1l5//C2rayedFDWXS61af9uf4nPt2/+VsZy+AThuaqNeLGxEAAEEEDiCAtbPJHO3BFuOID67QgABBBBAAAEEHBYgAOcwaCoU56nZp/3eirh0QpvjFb2fsUsn5eUqS+t1SDXaWvGJVODvkpoKB0MdUlrA+uWQL4YpfaqonCHA9cplgIBzAryenLOkJAQQQKApCFjf9836Nud7f+ux2j1OJ8rgumgKAonVkQBcYl5NIvU3+/fpU29NM43WbS0Vdv6FJnEkVBIBBBBAAAEEEEAAAQQQQACByALpEuyKLMCWpiIQvXFUUzkK6okAAggggAACCCCAAAIIIIAAAggggECKCmTUGo8UrRvVsingLi/RGUVlRpfSLHWb9KxWFneJWlIi6a2/LkQtlI0IIIAAAggggAACCCCAAAIIIIBAIwnY7UJ8uKpLC7jDJduI5R7VqrVO8O7fo/37DsjTiHVh1wgggAACCCCAAAIIIIAAAggggEC6CxCAa4ZXQGZ2a7XyHpdbn1Z/rm+iHqNb/6qoNFrLmY9sdc07MWpqNiKAAAIIIIAAAggggAACCCCAAAIIJCZAAC4xr6aR+vg2auvyVdVTvV+fR62122gl95k/xfFq3eroqKnZiAACCCCAAAIIIIAAAggggAACCCCQmACzoCbm1TRSZ3dQ53YulVe55f5gu3YbfVDbRJwKtUaV2z7xHZergzqdfEzUY3SiD3XoOHLJlOlkWeaBW8tLpl51iE6WZy3LLN9O/Zwoo+7YzL/W8uzUJ1JZ5nony0u2LLM+qXis1jola+ZkWU56OVkva1nJXhNOltUUvJK9vkKPMdnyrP6pVFbocTp5naXLcTpp5mRZyfo7eW1Yr38njzGZsqx1SlUrp+vldHnJ+Dt5fTldlpPlpep1FnqM5vNkzqeTx5mqZYWaJePldFlOlWe1T/b4nKpTaDnm82TrZj3OZMuzlpVMvazlmHVKpQct4FLpbDhVl8w89Tqrja+0qnKt3nIwcsnV6/TS6zW+7e3ylJsdMVIXuQy2IIAAAggggAACCCCAAAIIIIAAAghEFCAAF5GmKW9oqe69u8nXC3WbSu9drIqwMzHs1drpf1C52zxWl9pfdqG6E39ryieeuiOAAAIIIIAAAggggAACCCCAQAoKEIBLwZOSfJUy1abfUA3M8YXg3Bun6JJBJVpQXhmYEdVTuVq/GzlYo8p2+Xbn6qlrr/y+iL8lr08JCCCAAAIIIIAAAggggAACCCCAgFWAMeCsGs1pOftcFY/sqZWT18ls4ObeUqapRca/sMfoUs6gIl2ZlxV2KysRQAABBBBAAAEEEEAAAQQQQAABBOwL0ALOvl2K58xSXtEUzbmmu78raqTqGsG3i+7T4qn9lR0pCesRQAABBBBAAAEEEEAAAQQQQAABBGwLEICzTdcEMmbm6sIpy7VuxWxNHNNPOUFVbqluhbfr7tKX9fojhepI39MgHZ4ggAACCCCAAAIIIIAAAggggAACTgnQBdUpyZQtJ1PZ+QM1yvxXkrKVtF2xZKYnDrfTVC7P6bqFO/5E1zlZJyfLMo8j1ctL1DpceieP0cmynPR3ul7hHO2sS4d6peoxOnl9OV2WnWuJPAgggAACCCCAAALOf39LRVMCcKl4VqgTAggggAACCDRJAScDl06W5TSmk3VLh7Kc9E9Vr1Q9xlSuV6qeSyfrhX/iAvg3vlkqngOn6uRUOXVnyeny6sptrn/pgtpczyzHhQACCCCAAAIIIIAAAggggAACCCCQEgK0gEuJ00AlEEAAAQTSWYBfD9P57HPsCCCAAAIIIIAAAukgQAAuHc4yx4gAAggggAACCCCAwGES4EeEwwRLsQgggAACzUqALqjN6nRyMAgggAACCCCAAAIIIIAAAggggAACqSZAAC7Vzgj1QQABBBBAAAEEEEAAAQQQQAABBBBoVgIE4JrV6eRgEEAAAQQQQAABBBBAAAEEEEAAAQRSTYAAXKqdEeqDAAIIIIAAAggggAACCCCAAAIIINCsBDJqjUezOiIOBgEEEEAAAQQQQAABBBBAAAEEEEAAgRQSoAVcCp0MqoIAAggggAACCCCAAAIIIIAAAggg0PwECMA1v3PKESGAAAIIIIAAAggggAACCCCAAAIIpJAAAbgUOhlUBQEEEEAAAQQQQAABBBBAAAEEEECg+QkQgGt+55QjQgABBBBAAAEEEEAAAQQQQAABBBBIIYEWKVQXqtIsBQ6pYv4IXTJ5nTILS7V5Rl+5Yh6nRzWbntPSV57XwrlrtCeQvr0KxvxMZ/W6SMMLcpUZWM9CRAHPVi0YWqipG4/T0NKXNK0gO2JS7wb3Wt3ZrUhLDkVP5tuaE1+Z8RTVDNJ4Ktdq0cur9OysMr3jrj8gV/dC3XbZj3Tm0MuUnx3rquXar5dLZOmQdpYv1curlmh22RbV87dUt8JiXdr7HF05JF9Rr36u/UTAI6T1Xb/PPLUw+Dzk9NPokZeqf1yvAbPoam1atlyrX1ykeWuq6vflLecC9brwSvXNzapfz5JPoGaTlj/9tBYFvQeZn5vDNeCiwRqc3yaGVI3WThigUWX1n7rRMmTF/ZkerZTmu81TMV8/vXiKNrmz1G3Ss1pZ3CXGwXLdxwBKYHP9vadbvTRx7WKNyo189+kuL9EZRWWK69Ynq1AL3pmuvpGLS6CeTT+pc3bc/yR8NTh03+LcOUz4CJpBhvD3n957/4EX68fX9VXHWLf+4tqP70JI0tqh10t8dY2eihZw0X3YmpSA8Yay4UGNm7HO8oU4VoHV2jB9qPoMuk1Tg4JvZr4qlc+dpvuKfqzzRs7XphpPrMLSfLthef9dun/jgfgdqnZoa1x3oPEX2ez69gAzAABAAElEQVRTeir16l1X6Pt9i3TftODgm3ns7i1lmjH5Nl3Za7Amra40PmYjPbj2I8lEW++pfFGTLj9T/Yp+qRlBwTcz1wG9U/Y7TR03WH0u/61erYxycXPtR2OOvc37OjCcjffuBudhzxrNi+s1YOym5u+acXlfXTluSnDwzayBt5xfalTf/iqev0E1sWuVJimMm9LVv9VA4z1mfIP3IPNzc4rGD+qrgXe9qJ2R34AMq09UsRVVRy4a48evheP/aATf4iyN6z5OqPiSeSqeUEnc955u/auiMr7gW3y7T6NUTtlx/2PronHkvsWpc2jrCJp2ppoNWjCyf9j7T++9/z1F6nf2TVoe7d7T+MGR771xXAZOWDvyeomjrnEkIQAXBxJJ7Al4KpfpzhvnBbUGil6SEbArn6Wb526KEbBzG9/DZmrslHK+gEUENb6QLftNHJbWAjyq3rheW62rWI4hsFdrJ47Q6Cetra4iZHFv0dPFIzSpfG+YBFz7YVBir6pZrUlX36qnt8QOMru3PKbRV9+jtWED91z7sbGjpYjzdRD1NWCWb5QzZaLmxTyfRlBp8jhNC/tailbP5rjNfO+4R8OKH4vxWWsEo5+8VcMmro78uVn9rt56P0qQujnyHZZjMlpflf42gR+/uO4dPQ2JBj+N952N67Y7WoX0KcwJO+5/7F0vTt23OHEO7R1Bk85l/mgyfISmWlvphzugPc9rfJR7T773hkMLWeeQdUp9x63lgYDjAl/X7n/7/torOnWsPaVD/b//N7689qto+9r/Sm1J786BPKdeNrG2bOOngRxff/hK7ayicwLbT+lUXLvs068D21moE/i09u1pg2pPtdif0qFPbcma/XUJIvz9onbjtIv8vkNr538Y9WxFKCO9Vn+9cVrteQHnbrVXjH+ktvzD/1kQPq3duHRa7SjLdX1K74m15ftDrluufYtZvIvW69V4n+l0eW3JI+W1lVba/Rtrl00bWXtW4Bx1rj1r/Cu1DV8J1rK49uM9A3Xpgl8H59SOmrasdmPgGjc+DzYuq51ufe8O9xqoNdKtmWg5V+br6SlLOf+rrVzzu6DX0qlFy2rrPyHqapNmf79+u3b62XWfm8b1XTStdpnlc9PAD3kNnG98FnwSFqn+PHatveKRD8KmYWVsga93PFI7JOj+J5on131s0URS/K92xyNXhdz/xHhPt76GLnuktjKR3aV7WifsuP+xeRU5dN/ixDm0eQRNN9snteXjzw98Hz31sgm1Dy/daLm3NO79n5lo+R7cufa8aW8bdzkhD679EJBwTx2yrnXo9RKuijbW0QIuJMjK0yQFjG5Ia+8frUuGzInxa3zofoxfctYs0co9vv4arh536YUVUzTUMmZNZm5/3f7oci0o7ODL7H5Nv1+wOUqXvtB9NP/nnsrV+t3IgSqM2YownEWNKrd94tvQvqd6nswAJ+GU6tfV6PWnVhodo81HS+VPKtOyGcUhY1O1Uf6QEj381H3qn+P33POSnlzzcX0xxhXMtW/hiHfR/ZaeWbjNl9rVRxNXPaNpxSFjbWTna3DJHC2edalyvCmN1rMrlqi8OrQfHtd+vOwN0/1bz8552vI6mK+HSwZbxjvMVHb+YE14ZL4m9mjpy75nrV5u0DX+Y5Uvfsk/5mfd6+kqSzlZ6lhwm+avelBD/a8l95p5enTTwYZVSps1xnvHynkqrar73ByvRY+UBI/15n8NLJrUxz/+6i49t+rdMK3MjVYoH1bI9850ss76Yfu0UXT0QBNufcV176R/Yl1P/Xuu2aXtH5uvIZfan91D33OyQs29rKTtuP+xf4k4dN+S9Dm0fwRNNaenYqUeXLHLV/2cqzV30RSNDhpn2Lj3L7xXj827OnDvWfXcq9oSdOvJtR/P+XfG2tyTQ6+XeCodRxoCcHEgkSQeAXPw4OkqPvvHGjXHP3GCK18jrj9f8Q2VfUBb3nrH/6Wgi4p+OUx5YQetbKu+JTerwBvLcKvqzY36KJ7qNfc05uDb00fpvL7X60F/c2hX96tV3K9t/Efu/kD/eNM3/o/r1M46Oax//MU1+5SeCq3/W7XvMLMG6Mafd404MUhm7hBNHn+B/wvwF9q24z+WwDHXvp1rxfPuP/R3f2+5rEHX67q8SO80RuBmyESN6+efgsG9Szt2fxm8S679YI9Enlns1H6YJhVFeB1k5unCAV39Jddoa4U/2F+3r3jLyS7Q+MBrabf+9rZlkoa6stLmb7zvHVnKu7BAdfqHtu7QvxoYWcpydVCnk49pkIIVsQTMrtg3GJMeGV3ijR8Fxt15aez7H677WKjxbzeHJBg20zvunqvHDZowxPezS6wC3P98S3/zxrCPU5dO34n4OR6rnHTcnryd5X1H3PsndA1Z3juSuWdP/hwmVOtmkPigtixd6h/f0/ixcORwnRd2gjXjx8eCsfX3nlUbtGG378cyHwLXfuyLwSlrY08OvV5i1zm+FATg4nMiVUwBYxDJxx9TubcFm0s5/W7WgleeVEmfdjFzehMEBTPOUK/Tj42cr00fDTjP/2X6/fXa2KA1S+SszXbL/re1KDBphTHr3dhHtGrFBPVuk0AULTA4ZZa69jldsebLa7aW8R5YZk9N+Os2VeysNAYujzUjmvFBfEqefK8Gtz6t/lzf1O2Ha79OIqG/mfkl+otpb/x7L+bsytnK7XKiv/zPtW//V8H74toP9kjkmauvpm31nYeKv5YoP663nCy1bf1/QXsJCqiedaZOj1hOptpccLHO9f4Ic0hb171rDGGcro9s9Z3xd9970M6XNSE/yuemhcjVto3RZjf0YZmA4bRe6pHIZ0doUWn53BzHarbuLjNbRXTQ0Hl/UHGX2OeD696pi8UcR2+ylpj3oGaLlNJR6hLxPcS6T+sA9J3Vu0cCP1pai0nLZQfsuP+xf+U4ct/iwDm0fwRNM6fnfa1+rtJX95xLdePQzlGC9t/V4Ec3+T+jy4JnYubaj33+nbI29+TI6yV2leNNQQAuXinSxSeQ0083lr6s1x+9LaQrXozsgSbQRrounRRltngjgeXLdLjWLDF21Xw3+wOfa1dr/h3945j22iphNIUOTMBgdj9qo53lf9K8CVeoa8dc5Xn/ddfACQ9q+ab0/bprFUt0+Zv9+/SpN5NLJ7Q5XoE3X679RCltpP9KNUbQ0/c4Xq1bHW0pg2vfgnH4FmveVtlzW33lu3ppwAXWH2es3R+z1LnzSf7WohGqk91Bndv5unS7P9iu3UHdOiLkSevVxg9kZS/5J9jJ1rk/6dPwB5bABAy+bngnVa7VwodLNLBz3ft/rrpeXqJ5yzZFnsQhnY1ryjXtrqVGF2rjc7hwku4siCeQw3XvzCUTEvycYtx/hm2REm5vlgHozaE32ldpbekfdefl3f33Pcb13/kK3fnwSm0KO4FPuDLTZZ0Ddtz/2LxYnLpvceAc2jyCJpvNcs26vv9DdY/7vSbkiC3l8L03xKbuqcUoKWtzqJ8U+47bou4Y+YtAcgJt1Pu3r2hb/vei/BIQZQ+fV2uvv2VuVtdOOilKUnOcjlatv+1PUdeaJfYvzVGLbOobW52rX6+9Vvm5kbrhxTrAL7V7xy5fF2BXlj75U5EuXhY6s6cxi17Z/RpfNk+LrpmmB+79SYJBvlh1aM7bD+rd9Zvl6zEZ0s2Fa//wn3jrL40Nutdx7R/WE2COC/r403rykYX+FtJGl40Jt+uKoBZW3+jAvhr/EATZ6ppX11oxQs0yW6p1a6N5izn22af7VGM2J42rtUuE8prtamM27PIylS2er3l1QxP0+IXuHPjdBkfs2b1d27yfwVlq9cljGnrR8w3GcXVvKdOMcWWa/fjPNef3JbrQ9udNg9038RXBra/uu6vA+JnQ6PES86i47mMSxZMgbPDTN5xGzOye/2jHB194k7laV2nxkCu0InQWZmP25iXTbtOSWQt11UMP6J7+ubzdmGJO2HH/E/MSDZ/AofsWJ85h+Ao227X1n5UutevSwfteL3MYoCWr9NKjdfc5xuEbDVJGXz9MhdeFjE1cJ8O1XycR8a9j1nLo9RKxpolvCDTCSDwrORCwCrRRN7vBN6MYT80+7fcWF9I6yLqLwLJLJ+Xl+sdWCTOWUCBdGi1kd00i+GY6WQanNG42VzQIvlktjUDck7dq2MTVtISwskRbrl6lhxb4Jwxof5V+YfkCzLUfDc6JbcYvX4GB6o3WPaNGhwR/uPadUA4uw62d8wt9LUjyCjTqnkd8wTdXd101/1k9Uxw6Tpxb+/d95i8itIVicMm+Zycqr6t/GIJDRvdX/yQE4VKm5brK+RrobbV8mvoV/doffGupbtc8qFVLisOMr2ptiWW8vy9rGHyzOrq3PKbRV9+jtbQIMliSaX3FdW+9ruwtW4OfV6ou+Bl3WZYWFu4tzzcMvlkLMu6Nni4eoUnle61r03fZATvuf+xePg7dtzhwDu0eQVPNV9+bJdNoDHKcDmyYpYG9Bmv8ZP99Tt2B7VmjefcUqd/ZN2l5pX/A4rptxl+ufQtGhEWnrFPxOy4BuAgnndVHViD4RdaSXxePLH/Q4JTeXXu7Epdrm3+MLe84Z5uXa+adhermnwBjT9kEjV/27yNd06a3P6P11fKJs1XubQ6RrYLbjJaKltY6XPuH95R6Kpdp0szX/K07L9Ato84Ifn+xDMzKte/UubAGFixltmmrb3+0Ux816DJq7SL8bbXO9nUvteRkMQGB+ht7a6Zvq+23P1Xl7oZfBCTrYNBmHt84omsq/GP7eT8H3tbSWXdoaHf/6HF7ntKYcc+m8fh7PltPRalGjX4qwa6ndeeF675Owt7fQ6qYf7PG1I27l1DXU98e6wegN5/XDePxvn/MJvP636ENK2ZrQmF3f7f4XVoyepKWM/awnLDj/sfelW8dUN5bgs17difOoc0jaKLZPPp8/37/JGrZ6uR5VqOumtOgtXjQwe15XuOvHt8gCMe1H6QU5olz1k69XsJU0vYqAnC26ciIQDMSCAxOaRyTMYDxglXzdHtBSDeL7HwNvmGKZVrtGpXPfkKbGnyZbkYuyR6KGXwb83ONf8WcqdEcG2iGZg5p2P0r2d2QP7yAp7JMN159t1Z7J4cxB0afrMFBXR+NfFz74fGSWmsGFg4aPTCu18RJ16sgxx9Q8/8ifPGg3+rVML8IJ7VLMgcEvDf2ZveXSXdqdL/2/vVVKp/7a4266KeatLrSMguzudkyAYM5gUDp8jDjiLZR/pAbNW3RLA31n0/3mnl6dNPBwH7TbsGzVQvH/9E362b30fqDv+tp2jk00gF7Kp5QyYx1xo8rRuvOMVPjHHfPWlnrAPTm5/ODeqHB+MXGBEr5AzV6xgLNLezgy+x+Tb9fsDnkNWQtNx2WsWvUs+zIfQvnMPFzaB02YI9WTHvY//5fqIml1kYLoT9YPa+77nsx7X+wSszbQWtHXi+J1T5WagJwsYTYjkA6COQWa2Vda7d1U6IMYBw6rXa5Vm9J4y9g0a6NoOCbEX7jC1o0Lce3BQffonxB49p33N6cKKfvjDf05qMTNap4ouav26Ztax/Rjf5gkNmFcey4J1RB8P4w2BvvNQXT9d66BZpQPFoTHn1DFRXlWjC2n3LMvZnd6H5xlxZWWFvCddGoP9e1+nlN06JNIJBdoPHjL/C3BqrUC6+8n6aBCKP1Velvdf/GAwZ4H90x+0b1tDsY92G5Cpp5odbgZ4+bNOuOH/nGYkrosF3qWFzmb+22TW/O6B+ljLbqW3KzCvw9AKqee1Vb0vr9C7uELjWnEzty38I5TP60GIH7i6Zr1YrpGhXUaCHMD1avL9GKoM/d5PeeXiUkYe3I68VZbQJwznpSmk2Bo1q11gnevB5jLKADaXpDbxPviGezzEKrukkwjnglUnuHDYJvY7V40a1hv6Bx7Tt/KhsG3+bpsRI7X9BC68a1HyoS7/PM3P66/ZH5mtjD14XRvXGplgWC90cr25gZ2Pf4TPtqYg9fH+9+SWcIZOaq7x1ztGhSH1/gzL1BTyx9z+bnrPEjzCl58s1h69anxuzC5hwY6fawtr7Kn/BrjcizMwES17296yYk+Dnz2jDjGtorOWouy+zLgclfomZgY0Aggh33PwGhw7jg0H1LhHN4GCuegkUfpZats/0/QBnVc12gcVOHRJ6QLvts/XRQru843Fv11uZ9gWPi2g9QRFhwzjrCDiKsduj1EqH0utUE4Ook+NuoApnZrdXKW4N4buitzabjmDGvUY+sOe7cOgstk2A0OMM1f9eMQYPqu532u0tPRQi+mXm59hsIJrHCGBDdGBB3yEUl/m6nxlhWkxY6FHwzq8W1n8TJMS72zho0zB8EkrX1lNU1nqC+pctkVq7y2jNmXOzzkqW8wUN1rgMteOrfs6RDW3foX7F33rxSGO/xs27zdz01Wl9NLwqdVCTew+W6j1eqPp35Hv+gxvm7ntoPftaXGPdS3ezLZgYmf4mbzZswgl39ewn3/omBJpLa+j6TxD17hHOYSE2aftpMHd+qVf04wqf1Uo/QYU2CDvJYnd7rDP+kgV9o247/BH744toPggrzxDnrMIVHWeXQ6yXKHsxNLWJsZzMCR0bg+DZqa34xMBo+eKr3G+2qpDYR92wd4DueGfMiFsSGpAWy1Lb1/yVdSvMo4JB2ls/V5Lvm+mZ8NMeluWaaHrj3J5F/HTMPnGvfmdPvqdTa2ZN195w1xoDoxsOccfOhB3RP/5CxDJ3Zm1EK137ilJlq06OXumq13jHe7OtaT2Wq/pdOtw6per/Zrd0/y2m4nXgOaN8+f/+vE1orm58Swyk1XNfmdPU+LUvlW4zup5/uU43ZdM0yIUzDDLHXuNq2Md7p0uvh3rhSj28xup4aD/fGKboob0oMgEN6Z/KPlTfZlyyrsFSbZ/Q1wvlc9zHgwmw+oE3PLPUPem4sTx6gLn7XMIn9q9Zrat8umup9lmOMcfiS0c06yvtL5ILqt7iy1fp43njqQRJYstpx/5MAnBNJHbpvsZ5DJ6rVhMqoa7lmjuwcz8OV20mdjYTB9zzGCq79mHyOWcfcU6QEDr1ewhTPp0cYFFY1goClabP7g+3aHXVsDcv0264O6nTyMY1Q4XTepTUAeqI6n5LkjWyzoKzWhunX6OKiP/iDb/6WV1NiBN/MY+faT/4K8LY6vEKj6oJvOf01saxUkx0PvnHtJ3uyws/Qae3WGPwrcdj91ezS9o993VRdp3bWyUkGkcLuozmutAYukzi++nPoUrsuHaKFSpPYSzpk5bpvUmfZ+vppl6dcxvyL//RFsuP+J35D2ykdum+JdA5t16tpZsw8ubO6mA1GzMe+fdof9fuq8SNN5Q5t9ybOUufOJ9V3X+Xa96pE+88x62g7abDNoddLg3KDVxCAC/bgWWMJZOap11n+Nm9VMQb2r16nl16v8dWUmyAHzthBbZpu/Drf0ejK1TFfxcv+Hb1Mz/ta/VylLw0BUKPJpjHT6fUDVTh3k9mA02h5la/Ry1ZqfnHP+L6Ycu1Hv95ibDXHe7vh4us0z98ixdV9rMpWzdWo/MhtaOuL5Nqvt7C35Nk0Xed73zty1XXk8hizfB3UllfK5fvlOFtn9T41cDOaefqZ+pF3GC23og9w7lH1a6v0hu/Flt4BIM8GzTini++9u/P1Wl4d/ZuAZ8ureqHKH7g8u7e6+79E2D+Hx6lLp+8k24jO3oXXTHJx3TfiiUzm9ZPugX+n7Lj/sfECcOi+xalzaOMImnSWNn004Dx/w4Oql/TMX/ZGOZyDenf9ZqNdv/kIGTKJaz+Km3+TI9YOvV5i1zahFATgEuIi8eETaKnuvbv5v4xtU+m9iyPMkLdXa6cbrYz8X77aX3ahutP6IcnTcoxO7tTBb1+jNxa/EMHe3I05+PH9KvV+iXOp/ajRuiLq+AdJVi3lsxst3+4fr7te8TdGz7lUM195UhN6xhP8qTs4rv06iYT/mmMx3XKff7y3uhmSxoWd7CJ82Vz74V3iX2v9hdIdY5YvT8ViTV6wzVe4q5cGXOAbyt+7wnWqzjy77qbWSFe6NTBWSlBtaso1c+ZrvmC3cnXJRaelbwAo8zvqdOpxPh73Oj25fHt4MzOFOWuk8blaF/w89yd9AsM82D6H7a/SLwZ+N+j0pMMT7yyzdbOGR/m7tbTQP/ZPlrpNetk/22al3vN2P/VLcd0neMmYMyz/PWBZEdF/kxYUeuf9NcrvpYlrt/nz/L2++6nt108XFY29OPD6SfAAmkdyx+y4/0n8gnDovsWxc5j4ETTtHO10/k96+b8z7dKSu2ZrbU2EH79q3tQzK+oaLHTTmT+wDtjAtR/7OnDC2qHXS+zKJpSCAFxCXCQ+fALG2ED9hmpgju8neXNclUsGlWhBeWXgC4WncrV+N3KwRpXt8lXD1VPXXvn99P3y5djJMOwHjlaRfyBz98aZGn79dC3fVB20B0/lWi2cPlbDJ6/zt/S6QLeMOiON/Y3BoMtn6ea6lm9m8O2pmRqcm+hseFz7QRda3E+MYPyUif6Wb2bw7T4tnlsYfby9BmVz7TcgSXRFm4v1i1FdfLmMINDUYWM1Y9km+dso+9ab4/OVTtUNw2Zqk//Hk5xBQ1UQFLxvp4JhA+T7ymyO7VSoIRPma22l77djM/i/s3y2ii++UUv2+Ftx9bhSQ7ofm2iNm1H67+qKsVepvfeITLNi3TB9uTYFfRkw3RZpxvXFmrrRN26Zcgbomn6W4Ketc5itgtuuVT4/gCV5PXHdJwmYRHZ7rx9Xv9EamZ/O7zsmuVN23P8kfgE7dd/i1DlM/Aiado7ga1Z7ntKY4b/UkqDvTNXatGy65X6lpfIn3B7SYCG4HL73hrsqgo3sWTv1eglXP/vrMmqNh/3s5EQguoC7vERnFJV5m9/WDzwcKY/Rumr+CF1SF+CJlMy73vjCXfigXpjRP75uflHLaq4ba7R2wgAjYGkOSR9r4GFzZrEH9POr5vgHN45l0sEYyHiJ8Uty21gJm+92o0XJgqGF9V9qEznSrEIteGe6+taNI2G2LOTaT0TQ6Pk7Xz+9eIo/oJNQVgW/F3HtJ6YXJrU5Bt/w0YFuwGFSBK0yuwkvDjczcEKvKd6DfKjm+JPFGlb3Q0CQdJgnZhf5p+c3bKWb0Dnk8zeMbINV9fc/Zgu4Z7Wy2B+oDk3JdR8q4sBz6/2P2QJusUblBj5wLeUn+PrJuVoLVt2rvoz/Zhg6Zcf9j+WCjHPRqfsWp85hnNVuNskS83f1uEsvLClWXoMfrLj2Y18STlgnVoZ0+O8vaQEX+8yT4ogJZCmvaIrmXNM9MC5Q+F37W7tMJfgW3sfOWmMw6J636rGyu1Tgb4UYsRRzdsn5CzU5nYNvJs7uN/R8XYuSiFjxbuDaj1fKl86tj8pX2wq+NdwP135DkwTXZP9IExYt1MR+vrZYkXObMwM/qFUrInQTzuyqEbOm6aru1m4a4Uprr/6zHuU9yEvTRj1L5uupSf39rQfDefnWubr/XPMidZFP6Bw+oMV8/kaGTnQL132iYg6mT/D189SvCL4F9J2y4/4nQBr3glP3LU6dw7gr3kwSxutvfF/td5eeKi0KE3wzKbj2Y18QTljHW4ZRmyP0HZcWcLHPPCmSEKj/Bdh4myks1Wbr2CcRyzUi1Zue09JXntfCuWtktt/yPYwvb4XFuuLiSzW8IDeNuz7WecT6a/0FOFYLOEtZZnexx5/Xyyvna4l/YHvv1px+Gj3yUvUfepny+fVX1mvbohffYoMWcHXZuPbrJKL/tV7b0VOG2xrxvYhrPxxXAuvM7o5L9er610Leu41ZgccM14CLBmtwXJNjmN03lmv1i4s0b41/fEWzFsaN0dBxQ/XjH1+pvgl39U7gMJpoUnOYgEWvrtPfHl3on43Zi2Z8ARihET+5WFcOyY+jxbjvHL68aolml23xj7VnlpPoOWyiiA5Wu/4zIkYLuMA+ue4DFEkvWD8jorWAq9+R9/Xz8io9O6vM0hPA/AKdyOunvrx0WnLGjvsfW9eMQ/ctzpxDW0fQtDOF9fe9b4wadlWc31e59uO6CJywDluGsfcj/B2XAFxcZ5xECCCAAAIIIIAAAggggAACCCCAAAII2BOgC6o9N3IhgAACCCCAAAIIIIAAAggggAACCCAQlwABuLiYSIQAAggggAACCCCAAAIIIIAAAggggIA9AQJw9tzIhQACCCCAAAIIIIAAAggggAACCCCAQFwCBODiYiIRAggggAACCCCAAAIIIIAAAggggAAC9gQIwNlzIxcCCCCAAAIIIIAAAggggAACCCCAAAJxCRCAi4uJRAgggAACCCCAAAIIIIAAAggggAACCNgTIABnz41cCCCAAAIIIIAAAggggAACCCCAAAIIxCVAAC4uJhIhgAACCCCAAAIIIIAAAggggAACCCBgT4AAnD03ciGAAAIIIIAAAggggAACCCCAAAIIIBCXAAG4uJhIhAACCCCAAAIIIIAAAggggAACCCCAgD0BAnD23MiFAAIIIIAAAggggAACCCCAAAIIIIBAXAIE4OJiIhECCCCAAAIIIIAAAggggAACCCCAAAL2BAjA2XMjFwIIIIAAAggggAACCCCAAAIIIIAAAnEJEICLi4lECCCAAAIIIIAAAggggAACCCCAAAII2BMgAGfPjVwIIIAAAggggAACCCCAAAIIIIAAAgjEJUAALi4mEiGAAAIIIIAAAggggAACCCCAAAIIIGBPgACcPTdyIYAAAggggAACCCCAAAIIIIAAAgggEJcAAbi4mEiEAAIIIIAAAggggAACCCCAAAIIIICAPQECcPbcyIUAAggggAACCCCAAAIIIIAAAggggEBcAgTg4mIiEQIIIIAAAggggAACCCCAAAIIIIAAAvYECMDZcyMXAggggAACCCCAAAIIIIAAAggggAACcQkQgIuLiUQIIIAAAggggAACCCCAAAIIIIAAAgjYEyAAZ8+NXAgggAACCCCAAAIIIIAAAggggAACCMQlQAAuLiYSIYAAAggggAACCCCAAAIIIIAAAgggYE+AAJw9N3IhgAACCCCAAAIIIIAAAggggAACCCAQlwABuLiYSIQAAggggAACCCCAAAIIIIAAAggggIA9AQJw9tzIhQACCCCAAAIIIIAAAggggAACCCCAQFwCBODiYiIRAggggAACCCCAAAIIIIAAAggggAAC9gQIwNlzIxcCCCCAAAIIIIAAAggggAACCCCAAAJxCRCAi4uJRAgggAACCCCAAAIIIIAAAggggAACCNgTIABnz41cCCCAAAIIIIAAAggggAACCCCAAAIIxCVAAC4uJhIhgAACCCCAAAIIIIAAAggggAACCCBgT4AAnD03ciGAAAIIIIAAAggggAACCCCAAAIIIBCXAAG4uJhIhAACCCCAAAIIIIAAAggggAACCCCAgD0BAnD23MiFAAIIIIAAAgggg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" alt></p>
<p>IR spectrum</p>
<p><img 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" alt></p>
<p>(iii) Identify the species causing the large peak at <em>m/z</em>=31 in the mass spectrum.</p>
<p>(iv) Identify the bond that produces the peak labelled <strong>Q</strong> on the IR spectrum, using section 26 of the data booklet.</p>
<div class="marks">[5]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Phenylamine can act as a weak base. Calculate the pH of a 0.0100 mol dm<sup>−3</sup> solution of phenylamine at 298K using section 21 of the data booklet.</p>
<div class="marks">[4]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>(i)<br>\( \ll {K_{\rm{C}}}{\rm{ = }} \gg \frac{{\left[ {{\rm{COC}}{{\rm{l}}_{\rm{2}}}} \right]}}{{\left[ {{\rm{CO}}} \right]\left[ {{\rm{C}}{{\rm{l}}_2}} \right]}}\)</p>
<p>(ii)<br><em>T</em>«= 600 + 273» = 873K</p>
<p>Δ<em>G</em><sup>Θ</sup> = −8.31 × 873 × ln (0.200)<br><em><strong>OR</strong></em><br>Δ<em>G</em><sup>Θ</sup> = « + » 11676 «J»<br>Δ<em>G</em><sup>Θ</sup> = « + » 11.7 «kJ»</p>
<p><em>Accept 11.5 to 12.0.</em><br><em>Award final mark only if correct sig fig.</em><br><em>Award <strong>[3]</strong> for correct final answer.</em></p>
<p>(iii)<br>Δ<em>H</em><sup>Θ</sup> = −220.1 − (−110.5)<br>Δ<em>H</em><sup>Θ</sup> = −109.6 «kJ»</p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em><br><em>Award <strong>[1]</strong> for −330.6, or +109.6 «kJ».</em></p>
<p>(iv)<br>Δ<em>G</em><sup>Θ</sup>= −109.6 − (298 × Δ<em>S</em><sup>Θ</sup>) = +11.7 «kJ»<br>Δ<em>S</em><sup>Θ</sup>«\(\frac{{\left( {11.7 + 109.6} \right) \times {{10}^3}}}{{298}}\)»= −407 «JK<sup>−1</sup>»</p>
<p><em>Award<strong> [2]</strong> for correct final answer.</em><br><em>Award<strong> [2]</strong> for −470 «JK<sup>−1</sup>» (result from given values).</em><br><em>Do not penalize wrong value for T if already done in (a)(ii).</em><br><em>Award <strong>[1 max]</strong> for −0.407 «kJ K<sup>−1</sup>».</em><br><em>Award<strong> [1 max]</strong> for −138.9 «J K<sup>−1</sup>».</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i)<br>primary</p>
<p>(ii)<br><em><strong>ALTERNATIVE 1:</strong></em><br><strong>«</strong>heat with<strong>»</strong> tin/Sn <em><strong>AND</strong></em> hydrochloric acid/HCl<br>aqueous alkali/OH<sup>–</sup>(aq)</p>
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<p><em><strong>ALTERNATIVE 2:</strong></em><br>hydrogen/H<sub>2</sub><br>nickel/Ni <strong>«</strong>catalyst<strong>»</strong></p>
<p><em>Accept specific equations having correct reactants. </em><br><em>Do <strong>not</strong> accept LiAlH4 or NaBH4.</em><br><em>Accept Pt or Pd catalyst.</em></p>
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<p><em>Accept equations having correct reactants.</em></p>
<p>(iii)<br>HNO<sub>3</sub> + 2H<sub>2</sub>SO<sub>4</sub> <img src="data:image/png;base64,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" alt> NO<sub>2</sub><sup>+</sup> + 2HSO<sub>4</sub><sup>−</sup> + H<sub>3</sub>O<sup>+</sup></p>
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<p><em>Accept: HNO<sub>3</sub> + H<sub>2</sub>SO<sub>4</sub><img src="data:image/png;base64,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" alt> NO<sub>2</sub><sup>+</sup> +<em>HSO<sub>4</sub></em><sup>−</sup> + <em>H<sub>2</sub></em>O Accept HNO<sub>3</sub> + H<sub>2</sub>SO<sub>4</sub> <img src="data:image/png;base64,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" alt> <em>H<sub>2</sub></em>N<em>O<sub>3</sub></em><sup>+</sup> + HSO<sub>4</sub><sup>−</sup> .</em><br><em> Accept equivalent two step reactions in which sulfuric acid first behaves as a strong acid and protonates the nitric acid, before behaving as a dehydrating agent removing water from it.</em></p>
</div>
</div>
</div>
</div>
<p>(iv)<br><img src="data:image/png;base64,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" alt></p>
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<p>curly arrow going from benzene ring to N of <sup>+</sup>NO<sub>2</sub>/NO<sub>2</sub><sup>+</sup> <br>carbocation with correct formula and positive charge on ring <br>curly arrow going from C–H bond to benzene ring of cation <br>formation of organic product nitrobenzene <em><strong>AND</strong></em> H<sup>+</sup></p>
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<p><em>Accept mechanism with corresponding Kekulé structures.</em></p>
<p><em>Do <strong>not</strong> accept a circle in M2 or M3. Accept first arrow starting either inside the </em><em>circle or on the circle.</em></p>
<p><em>M2 may be awarded from correct diagram for M3.</em></p>
<p><em>M4: Accept C<sub>6</sub>H<sub>5</sub>NO<sub>2</sub> + H<sub>2</sub>SO<sub>4</sub> if HSO<sub>4</sub><sup>−</sup> used in M3.</em></p>
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<p><br> </p>
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<div class="question_part_label">b.</div>
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<p>(i)<br><em>Name</em>: ethane-1,2-diol<br><em>Class</em>: alcohol<strong>«</strong>s<strong>»</strong></p>
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<p><em>Accept ethan-1,2-diol / 1,2-ethanediol.</em><br><em>Do <strong>not</strong> accept “diol” for Class.</em></p>
<p>(ii)<br>two <em><strong>AND</strong></em> two hydrogen environments in the molecule <br><em><strong>OR</strong></em><br>two <em><strong>AND</strong></em> both CH<sub>2</sub> and OH present</p>
<p>(iii)<br><sup>+</sup>CH<sub>2</sub>OH</p>
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<p><em>Accept CH<sub>3</sub>O<sup>+</sup>. </em><br><em> Accept [•CH<sub>2</sub>OH]<sup>+</sup> and [•CH<sub>3</sub>O]<sup>+</sup>.</em><br><em> Do not accept answers in which the charge is missing. </em></p>
<p>(iv)<br>oxygen-hydrogen <strong>«</strong>bond<strong>»</strong>/O–H <strong>«</strong>in hydroxyl<strong>»</strong></p>
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<div class="question_part_label">c.</div>
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<p>\({K_{\rm{b}}} \approx \frac{{{{\left[ {{\rm{O}}{{\rm{H}}^ - }} \right]}^2}}}{{\left[ {{{\rm{C}}_{\rm{6}}}{{\rm{H}}_{\rm{5}}}{\rm{N}}{{\rm{H}}_{\rm{2}}}} \right]}} = {10^{ - 9.13}}/7.413 \times {10^{ - 10}}\)</p>
<p>\(\left[ {{\rm{O}}{{\rm{H}}^ - }} \right] = \sqrt {0.0100 \times {{10}^{ - 9.13}}} = 2.72 \times {10^{ - 6}}\)</p>
<p>\(\left[ {{{\rm{H}}^ + }} \right] = \frac{{1 \times {{10}^{ - 14}}}}{{2.72 \times {{10}^{ - 6}}}} = 3.67 \times {10^{ - 9}}\)</p>
<p><em><strong>OR</strong></em></p>
<p>pOH = 5.57</p>
<p>pH = −log [H<sup>+</sup>] = 8.44</p>
<p><em>Accept other approaches to the calculation.</em><br><em>Award <strong>[4]</strong> for correct final answer.</em><br><em>Accept any answer from 8.4 to 8.5.</em></p>
<div class="question_part_label">d.</div>
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<h2 style="margin-top: 1em">Examiners report</h2>
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[N/A]
<div class="question_part_label">a.</div>
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[N/A]
<div class="question_part_label">b.</div>
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[N/A]
<div class="question_part_label">c.</div>
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[N/A]
<div class="question_part_label">d.</div>
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<br><hr><br><div class="specification">
<p>A student titrated two acids, hydrochloric acid, HCl (aq) and ethanoic acid, CH<sub>3</sub>COOH (aq), against 50.0 cm<sup>3</sup> of 0.995 mol dm<sup>–3</sup> sodium hydroxide, NaOH (aq), to determine their concentration. The temperature of the reaction mixture was measured after each acid addition and plotted against the volume of each acid.</p>
<p><img 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"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Using the graph, estimate the initial temperature of the solutions.</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>Determine the maximum temperature reached in each experiment by analysing the graph.</p>
<p><img src="data:image/png;base64,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"></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>Suggest why the enthalpy change of neutralization of CH<sub>3</sub>COOH is less negative than that of HCl.</p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><img 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"></p>
<p>21.4 °C</p>
<p><em>Accept values in the range of 21.2 to 21.6 °C.<br>Accept two different values for the two solutions from within range.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>HCl:</em> 30.4 «°C»</p>
<p><em>Accept range 30.2 to 30.6 °C.</em></p>
<p><br> <em>CH<sub>3</sub>COOH:</em> 29.0 «°C»</p>
<p><em>Accept range 28.8 to 29.2 °C.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>CH<sub>3</sub>COOH is weak acid/partially ionised</p>
<p>energy used to ionize weak acid «before reaction with NaOH can occur»</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">e.</div>
</div>
<br><hr><br>