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<h2>HL Paper 2</h2><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="specification">
<p>Trends in physical and chemical properties are useful to chemists.</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>Titanium and vanadium are consecutive elements in the first transition metal series.</p>
</div>
<div class="specification">
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{TiC}}{{\text{l}}_{\text{4}}}">
<mrow>
<mtext>TiC</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mtext>4</mtext>
</mrow>
</msub>
</mrow>
</math></span> reacts with water and the resulting titanium(IV) oxide can be used as a smoke screen.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Describe the bonding in metals.</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>Titanium exists as several isotopes. The mass spectrum of a sample of titanium gave the following data:</p>
<p><img src="images/Schermafbeelding_2017-09-20_om_08.37.43.png" alt="M17/4/CHEMI/HP2/ENG/TZ1/02.b"></p>
<p>Calculate the relative atomic mass of titanium to two decimal places.</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>State the number of protons, neutrons and electrons in the <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="_{{\text{22}}}^{{\text{48}}}{\text{Ti}}">
<msubsup>
<mi></mi>
<mrow>
<mrow>
<mtext>22</mtext>
</mrow>
</mrow>
<mrow>
<mrow>
<mtext>48</mtext>
</mrow>
</mrow>
</msubsup>
<mrow>
<mtext>Ti</mtext>
</mrow>
</math></span> atom.</p>
<p><img src="images/Schermafbeelding_2017-09-20_om_08.43.58.png" alt="M17/4/CHEMI/HP2/ENG/TZ1/02.c"></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>State the full electron configuration of the <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="_{{\text{22}}}^{{\text{48}}}{\text{T}}{{\text{i}}^{2 + }}">
<msubsup>
<mi></mi>
<mrow>
<mrow>
<mtext>22</mtext>
</mrow>
</mrow>
<mrow>
<mrow>
<mtext>48</mtext>
</mrow>
</mrow>
</msubsup>
<mrow>
<mtext>T</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>i</mtext>
</mrow>
<mrow>
<mn>2</mn>
<mo>+</mo>
</mrow>
</msup>
</mrow>
</math></span> 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>Suggest why the melting point of vanadium is higher than that of titanium.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Sketch a graph of the first six successive ionization energies of vanadium on the axes provided.</p>
<p><img src="images/Schermafbeelding_2017-09-20_om_09.09.57.png" alt="M17/4/CHEMI/HP2/ENG/TZ1/02.d.iii"></p>
<div class="marks">[1]</div>
<div class="question_part_label">d.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain why an aluminium-titanium alloy is harder than pure aluminium.</p>
<div class="marks">[2]</div>
<div class="question_part_label">d.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Describe, in terms of the electrons involved, how the bond between a ligand and a central metal ion is formed.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline why transition metals form coloured compounds.</p>
<div class="marks">[4]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the type of bonding in potassium chloride which melts at 1043 K.</p>
<div class="marks">[1]</div>
<div class="question_part_label">g.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>A chloride of titanium, <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{TiC}}{{\text{l}}_{\text{4}}}">
<mrow>
<mtext>TiC</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mtext>4</mtext>
</mrow>
</msub>
</mrow>
</math></span>, melts at 248 K. Suggest why the melting point is so much lower than that of KCl.</p>
<div class="marks">[1]</div>
<div class="question_part_label">g.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Formulate an equation for this reaction.</p>
<div class="marks">[2]</div>
<div class="question_part_label">h.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest one disadvantage of using this smoke in an enclosed space.</p>
<div class="marks">[1]</div>
<div class="question_part_label">h.ii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>electrostatic attraction</p>
<p>between <strong>«</strong>a lattice of<strong>» </strong>metal/positive ions/cations <strong><em>AND </em></strong><strong>«</strong>a sea of<strong>» </strong>delocalized electrons</p>
<p> </p>
<p><em>Accept “mobile electrons”.</em></p>
<p><em>Do </em><strong><em>not </em></strong><em>accept “metal atoms/nuclei”.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{(46 \times 7.98){\text{ + }}(47 \times 7.32){\text{ + }}(48 \times 73.99){\text{ + }}(49 \times 5.46){\text{ + }}(50 \times 5.25)}}{{100}} = 47.93">
<mfrac>
<mrow>
<mo stretchy="false">(</mo>
<mn>46</mn>
<mo>×</mo>
<mn>7.98</mn>
<mo stretchy="false">)</mo>
<mrow>
<mtext> + </mtext>
</mrow>
<mo stretchy="false">(</mo>
<mn>47</mn>
<mo>×</mo>
<mn>7.32</mn>
<mo stretchy="false">)</mo>
<mrow>
<mtext> + </mtext>
</mrow>
<mo stretchy="false">(</mo>
<mn>48</mn>
<mo>×</mo>
<mn>73.99</mn>
<mo stretchy="false">)</mo>
<mrow>
<mtext> + </mtext>
</mrow>
<mo stretchy="false">(</mo>
<mn>49</mn>
<mo>×</mo>
<mn>5.46</mn>
<mo stretchy="false">)</mo>
<mrow>
<mtext> + </mtext>
</mrow>
<mo stretchy="false">(</mo>
<mn>50</mn>
<mo>×</mo>
<mn>5.25</mn>
<mo stretchy="false">)</mo>
</mrow>
<mrow>
<mn>100</mn>
</mrow>
</mfrac>
<mo>=</mo>
<mn>47.93</mn>
</math></span></p>
<p> </p>
<p><em>Answer must have two decimal places </em><em>with a value from 47.90 to 48.00.</em></p>
<p><em>Award [2] for correct final answer.</em></p>
<p><em>Award [0] for 47.87 (data booklet value).</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><em>Protons: </em>22 <strong><em>AND </em></strong><em>Neutrons: </em>26 <strong><em>AND </em></strong><em>Electrons: </em>22</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><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\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{2}}}">
<mrow>
<mtext>1</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>s</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msup>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>s</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msup>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>p</mtext>
</mrow>
<mrow>
<mtext>6</mtext>
</mrow>
</msup>
</mrow>
<mrow>
<mtext>3</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>s</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msup>
</mrow>
<mrow>
<mtext>3</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>p</mtext>
</mrow>
<mrow>
<mtext>6</mtext>
</mrow>
</msup>
</mrow>
<mrow>
<mtext>3</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>d</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msup>
</mrow>
</math></span></p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>vanadium has smaller ionic radius «leading to stronger metallic bonding»</p>
<p> </p>
<p><em>Accept vanadium has «one» more valence electron«s» «leading to stronger metallic bonding».</em></p>
<p><em>Accept “atomic” for “ionic”.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAT4AAAEaCAYAAACIBTsQAAAefElEQVR4Ae2dXWhVR/eHxz8W4oUXCgoJvL1QsJAUUjAgRcVeKCgkggUFLVG0oGBBS3uhUIpKvVBoSwytoKCgQoV4oUQvCgoqRqqQXliMoKBQi4YqxAuLCgr585u3O+/R7HNyvvbea/Z+BsI52R8za541WZmPNWumjY+PjzsSBCAAgQIR+L8C1ZWqQgACEPAEMHw0BAhAoHAEMHyFUzkVhgAEzBu+np4e9+DBAzQFAQhAoGkEzBu+ptWUjCAAAQj8SwDDR1OAAAQKRwDDVziVU2EIQADDRxuAAARSJfDs2bPM5+0xfKmqnMIgAIHdu3e7rq4u9+TJk8xgYPgyQ0/BECgmAfX49PPmzZvMAGD4MkNPwRCAQFYEMHxZkadcCBSUgHp7SrNmzcqMAIYvM/QUDAEIZEUAw5cVecqFQEEJRD2+LKuP4cuSPmVDoIAEZPg0zJ0xY0ZmtcfwZYaegiFQPAIvX770K7pZzu+JOoaveG2PGkMgUwIyfhi+TFVA4RCAQNoEXr16heFLGzrlQQAC2ROgx5e9DpAAAhBIiYB6e0qtra0plRhfDHN88Vy4CgEIJEAgcmXJckVX1cLwJaBcsoQABOIJRIaPoW48H65CAAI5JBBFZGGom0PlUiUIQCCewF9//eVvtLW1xT+Q0lWGuimBphgIQMA5+fApMdSlNUAAAoUhwKpuYVRNRSEAgYiAFjcWLlzoGOpGRPiEAARyT+D58+euvb0983oyx5e5ChAAAsUhIMOXdW9PtDF8xWlz1BQCmRPQHN+8efMylwPDl7kKEAACxSEgP76sV3RFG8NXnDZHTSGQOQH58dHjy1wNCAABCKRJ4PHjxxi+NIFTFgQgkC0BGb3p06cz1M1WDZQOAQikSWB0dNTNnTs3zSLLlsUcX1k03IAABJpJ4MGDByZ8+FQnDF8zNUteEIBAWQJDQ0MmfPgkIIavrJq4AQEINJPA9evXXUtLSzOzrDsvDF/d6HgRAhColoAWNkZGRtz7779f7SuJPofhSxQvmUMAAiKg3p52bWD4aA8QgEBhCEQh5xnqFkblVBQCENDChtKiRYtMwGCoa0INCAGBfBPQUFd7dPHjy7eeqR0EIPAvAYWblw+fhT26kVLo8UUk+IQABBIhcO/ePZ/v8uXLE8m/nkwxfPVQ4x0IQKBqApHhU8h5KwnDZ0UTyAGBnBKQD58SPb6cKphqQQACkwk8fPjQGz0LAUgj6ejxRST4hAAEEiGg4KOWhrmqJIYvEVWTKQQgEBH4/fffTQ1zJReGL9IOnxCAQNMJaMeG5vgsze+pkhi+pquaDCEAgYiADJ8l/71ILgxfRIJPCECg6QQOHTrkOjo6mp5voxli+BolyPsQgEAsAfX2Tp06RY8vlg4XIQCBXBLQNjUZv9bWVnP1o8dnTiUIBIF8ENBqrlJnZ6e5CmH4zKkEgSCQDwIHDx70FbESiqqUKoavlAbfIQCBphCQC4uGunJcnjFjRlPybGYmGL5m0iQvCEDAE4gCE/T29pokguEzqRaEgkDYBLQ/V6mnp8dkRTB8JtWCUBAIm4AiLmuYa9F5WWQxfGG3L6SHgEkCd+/edVaHuQI23SQ1hIIABIIm8Mcff7grV66YrQM9PrOqQTAIhEngzJkzZoe4EVEMX0SCTwhAoCkE5L/X3t7elLySygTDlxRZ8oVAAQlYPFEtTg0YvjgqXIMABOoicOfOHb8/95NPPqnr/bRewvClRZpyIFAAAprfU7K4Ta0UP4avlAbfIQCBhghEgUctblMrrRiGr5QG3yEAgYYI3Lhxwx05cqShPNJ4GcOXBmXKgEABCCgMlU5Us3a+Rhx6DF8cFa5BAAI1E5Dhsxh0NK4iGL44KlyDAARqIqAQVHv37nVbtmyp6b2sHsbwZUWeciGQIwJHjx51o6OjbsGCBUHUCsMXhJoQEgJ2Cbx+/drJ8GmYG8L8nkgSpMBue0IyCARB4Ny5c95pWau51t1YIqD0+CISfEIAAnURUJh5JcXfCyVh+ELRFHJCwCiBS5cuuV27dgVl+BjqGm1MiAWBEAhop4YM38mTJ0MQd0JGenwTKPgCAQjUSkBuLLNmzfI/tb6b5fMYvizpUzYEAiagEFQbN250a9euDa4WGL7gVIbAELBBoL+/3ykMVSguLKXUMHylNPgOAQhUTUBb1JQ6OjqqfsfKgxg+K5pADggERODWrVtOsfc0zLV6hGQlnBi+SnS4BwEIxBI4e/asX9AIIQRVXAUwfHFUuAYBCFQkIBeWHTt2BLeaG1UKP76IBJ8QgEBVBOS7p/m9oaGhqp63+BA9PotaQSYIGCawbdu2IFdyS5Fi+Epp8B0CEKhI4Pz5835RY82aNRWfs34Tw2ddQ8gHASME5LC8evVqL8369euNSFWfGBi++rjxFgQKR0Db05QUhSWU8FPllIThK0eG6xCAwFsETp8+7VdxL168+Nb1EH/B8IWoNWSGQAYEZPjkt6egBKEnDF/oGkR+CKREQAFHQwxIEIcHwxdHhWsQgMAEAZ2pof24PT09E9dC/4LhC12DyA+BhAlcvXrVR2HZunVrwiWllz2GLz3WlASBIAkoGIFWchctWhSk/HFCs2UtjgrXIACBCQJyWlZo+ZkzZ05cC/0LPb7QNYj8EEiQgM7L1SpuiMFGK2HB8FWiwz0IFJiAghAcPHjQhb49LU6FGL44KlyDAATcvn37nHZrYPhoDBCAQCEIjIyM+GMjNcQN6aDwapVDj69aUjwHgQIROHXqlA8pf+DAgVzWmlXdXKqVSkGgfgIa3mpu7/79+0Gep1FNzenxVUOJZyBQIAKKrqwDhEI8RKhaNWH4qiXFcxAoAAH57K1bt86fp5Hn6mL48qxd6gaBGggoCIECjcpvL0/b0+IQYPjiqHANAgUkoK1pMnoKPRV6oNGp1Ifhm4oQ9yFQEAJayVXYqbyEnqqkNlZ1K9HhHgQKQkDn5GqoOzw8XIga0+MrhJqpJATKE9Aqro6MDP0AofI1nHwHwzeZCVcgUCgCMnry3duyZUth6o3hK4yqqSgEJhPQEFc9Ps3rKcpyURKGryiapp4QiCFw/Phxt3jxYtfX1xdzN7+XWNzIr26pGQQqEtDwVienaWtaW1tbxWfzdpMeX940Sn0gUCWBFStW+CFunremlUOB4StHhusQyDGBs2fP+gWNzZs357iW5auG4SvPhjsQyC2Bw4cP+zh7q1atym0dK1Ws7ByfYu0rCGFcN1hzA1oNKpe6u7sLN2dQjgXXIWCNgLamKay8HJaLmiYZvmfPnnkWO3fudMeOHYs1fDdu3HC6ryXwuD19y5YtKypP6g0B0wTUYdm7d6/32dO+3KKmSYYvAvHq1Sv35s2b6Ne3PnVd9wUwrkf41sP8AgEImCCgcPJa0FAo+Z9//tmETFkJUXGOb/r0snbRyzvV/awqRbkQgMBkAv39/d7oFc1nbzIJ5ypatnI9viije/fuuadPn0a/Tnzm8XCSicrxBQIBEtAUlg4F19wef59TGL6p9Ktu87tJ8waPHj2Knft791l+hwAEkicgo9fV1eV6enowev/irtjjm2ooe/HiRR+4sFR1LS0tTTV6U8lQWjbfIQCBtwnI6CkIgVZwFWCU9F8CFQ3fVENdLWwkvbgxlQwoEgIQKE9Aq7hyX5EHhtzTSP8lUHFxA0gQgEDYBA4dOuQN3sDAQNgVabL0FXt8pWX98MMPbuXKlT50TdQLE9Q4XyD9Z1myZInfEqOtMV9//XVpVjV9Z6hbEy4ehoAn8Pr1a/fjjz86DXUZ4k5uFGUNn4awpUZNURw6Ozu94ZszZ44f4ipGf1zSezJ8gq6wN40YvsjIxpXDNQhAIJ6APC52797t9uzZU6g4e/E0Jl+dNj4+Pj75sp0rWolSzzLpuUQ7NUYSCDROYOPGje7ChQs+5FRpB6bxnPORg/k5Poa6+Who1CI9AlrMuHnzph/iYvTiuZs3fAx14xXHVQjEEVAAEbmvLFq0yK/kxj3DNefMGz6UBAEIVEdAe3F1boZ6eZoeIpUnYN7wxUV/KV8d7kCguATU05PhUyh5hriV20HZVd3Kr6V39+XLl+kVRkkQCJSAPCh0Wpr245KmJmC+xzd1FXgCAsUlIH+9gwcP+sC/+/fvZ16vyqaA4asSFI9BwCIBrd7KX0+npDXiL2uxbknKZN7wMceXpPrJO3QC+/bt8z6uw8PDoVclVfmZ40sVN4VBoDkENPetIe6TJ0+c9uGymFEbV3p8tfHiaQiYIKCenn42bNhAjL06NGLe8LGqW4dWeSXXBBRqSr09bePctWtXruuaVOXMG76kKk6+EAiRgNxWZPQUX49QU/Vr0PwcX/1V400I5I+AnJS1LU1OyqT6CZg3fAQpqF+5vJkvAvLTUwCCy5cv56tiGdTGvOEjSEEGrYIizRGQwfv22299T48QbY2rx/wcH358jSuZHMInoHk9HQuJ0WuOLs33+FjVbY6iySVMAnfv3nUff/yxF/63334LsxIGpTZv+AwyQyQIpEbgs88+Y2dGArQxfAlAJUsINIOA/PUUcUXnV5OaS8D8HB+rus1VOLnZJ6CIKzt37nQrVqxw33//PefhJqAy84aPVd0EtE6Wpglo9ba/v9/vyiDiSjKqYqibDFdyhUBdBDS01QqudmVodwYpGQLme3wMdZNRPLnaIiDvBZ2TsW7dOrd9+3aMXsLqMW/4GOom3ALI3gSB69evuy+//NJpL652aJCSJWDe8NHjS7YBkHv2BDS8VU9PkVbGxsaIrZeCSswbPnp8KbQCisiMgFxWurq63I4dO9yBAwcyk6NoBZs3fEVTCPUtFoHoVLSenp5iVTzj2rKqm7ECKL6YBDSXpxBTQ0NDBB7IoAmYN3wEKcigVVBkogRGRkbchx9+6Mu4ffs2gQcSpR2fufmhLkEK4hXH1XAJaF5Pafny5a6joyPcigQsufkeH6u6AbcuRJ9EQM7Jcle5du2aW7JkyaT7XEiHgHnDx6puOg2BUpIl8PjxYz+81dze4OAgRi9Z3FPmbn6oO2UNeAACARDQ8FZGT4FENcQlZUsAw5ctf0ovAAFtRdMKrvbf6pAgFuyyV7r5oS6NJPtGggT1EVAPb/78+b6nR9CB+hgm9Zb5Hh+rukmpnnyTJCCjp5h6ra2trq+vz3V3dydZHHnXSMB8j6/G+vA4BDInEPnpaS5P30n2CJjv8dlDhkQQqEzg1KlT/oGtW7dWfpC7mREw3+PDjy+ztkHBNRJ48OCBH97evHnTaUcGzsk1AkzxcfOGDz++FFsDRdVNQO4qOiNDCaNXN8bUXjQ/1GVVN7W2QEENEIiirCimHj29BkCm9Kr5Hh+ruim1BIqpi4CCiMpHT6u4jx49cm1tbXXlw0vpEjBv+NLFQWkQqJ7AmTNnfOTkWbNmecdkfZLCIGB+qBsGRqQsIgHtyFBS5GSMXlgtwLzhY1U3rAZVBGk1n6chreafX7x44XBbCU/r5g0fq7rhNao8S6z5vE2bNvnoKhcvXmTfbaDKNm/4WNUNtGXlUGwtYJw/f94tXLiQg4EC1695w8eqbuAtLCfiHz161M2ePdtt3LjRDQ8PEy4+cL2yqhu4AhE/eQIa3srwaWhLLL3keadRgvkeH4sbaTQDyogjcOXKFb8bQ8PbY8eOYfTiIAV6zXyPj8WNQFtW4GJrPu+LL75wo6OjPoAoPb3AFfqO+OZ7fO/Iy68QSJxANJ+nhbWxsTF6eokTT78ADF/6zCnRMAEtXmhOT755ly9fNiwpojVCwPxQF3eWRtTLu9USiLaftbe3u/Hx8Wpf47lACZjv8eHOEmjLCkhsHf24e/duLzG7MAJSXAOimjd8rOo2oF1enZKA4uh99NFH/mwMxdHTORmk/BMwb/hY1c1/I8yqhprLU/DQb775xg0NDRFHLytFZFCuecOXAROKLAABxdGTf54O+F67dm0BakwVSwlg+Epp8D33BHQuRldXl//Zvn27j6NH8NDcq31SBVnVnYSEC3kloJVbuasoNLz884ihl1dNT10v8z0+VnWnViJPVCZw69Yt75sno6dV28HBQYxeZWS5v0uPL/cqLnYFtfXs888/d5rTU6RkHQZEgoB5w0ePj0ZaLwGt1C5dutTJKZmhbb0U8/meecOXT+zUKkkCckjWfN7x48f90Hbz5s0MbZMEHmDeGL4AlYbI5QloaLt69Wo/tO3t7XVHjhwp/zB3CkvA/OIGe3UL2zZrrriM3pIlSybm86JDvmvOiBdyT8B8j485vty3wYYr+PDhQz+svXDhgluwYIFfxOjp6Wk4XzLILwHzhi+/6KlZMwgodp62nukAoIGBAc7CaAbUAuRhfqhbAB1QxToJaAFDUVXkiKy5PG0/I0GgGgLmDR/RWapRY7Ge0bYzBReQQ3J3d7ffdqYeHwkC1RIwb/iIzlKtKovx3N69e938+fNdS0uL0/yvFjDYelYM3Tezlubn+OjxNVPdYeYlA6dhrXZfKH7enj17vH9emLVBagsEzBs+enwWmkm2Msjobdq0yQvB2bbZ6iIvpZsf6uYFNPWonYD88tatW+eNnvbY6iwMjnmsnSNvTCZgvsfHUHey0vJ+RQZP2830Iwf2n376yZ9xm/d6U7/0CJg3fAx102sMFkqS0ZNfnoa3CiGliCosXljQTL5kMG/48oWb2lQioBXaaC7vxIkT3l2l0vPcg0C9BMwbPoa69ao2nPe0Wiujd+XKFR8vb/HixW7lypXhVABJgyNg3vAx1A2uTdUkcLSAIadkbTnj4J+a8PFwnQTMG74668VrxgnI4Gn3hXp72nWhFVsSBNIiYN7wMdRNqymkU87IyIh3Qj579qxftJAz8vr169MpnFIg8C8B84aPoW5+2qqGswoSqk/tsdW5tiQIZEHAvOHLAgplNo/A3bt33enTp/2Q9unTp95FRU7IBBVoHmNyqp0Ahq92ZrxRJQHN4+mEs+vXrxMvr0pmPJYOAfNb1gg9n05DaHYpChA6e/ZsNzo66sNGDQ8PEy+v2ZDJr24C5nt8hJ6vW7epv6genvzx7ty5427cuOF98uSeQoDQ1FVBgVMQMG/46PFNoUFDt3fu3OlOnTrlJSKKiiHFIMokAuaHuvT4JunM1AXpR+Hfp02b5vfXygmZKCqmVIQwMQTM9/hiZOaSAQJySRkaGnLyx7t3757bsWOH32a2atUqA9IhAgQqE8DwVebD3RgCMnradaFPuaXIABJBJQYUl8wSMD/UZY7PTtuJhrU680ILGTrZTKu1GD07OkKS6giY7/Exx1edIpN8KtpmpugpGtZqm5lOOGO1Nknq5J0kAfOGjx5fkuqfOm8NY7XNTD08hrVT8+KJMAiYH+rS40u/IcnI6RjHjo4Op8UKRUK+ffs2w9r0VUGJCREw3+NLqN5kG0NABk87LmT01NOWwdOwll53DCwuBU0Awxe0+pon/OPHj92+ffu84dNihc66kOEjQSCPBMwPdYnHl2yzU/SUnp4e98EHHzgtYuisiz///BOjlyx2cs+YgPkeH/H4kmkhly5d8qeZRb54MoBtbW3JFEauEDBGwLzhM8YreHFk6HRIt0K+a0h77do1t2TJkuDrRQUgUAsB84aPoW4t6ox/VosWv/zyi7t69aofznZ2dvqhrAKC4osXz4yr+SZg3vAx1G2sAZb28OSHpxVbTjJrjClvh0/AvOELH3E2NdBQVq4p+tGQdnBw0C9iZCMNpULAFgHzho+hbvUNRi4pWrS4efOm+/XXX/0w9rvvvnMbNmxgSFs9Rp4sAAHzho+hbnWtUFvLNm3a5COmaN5OfngMaatjx1PFI2Dej694KqmtxmfOnHFdXV1u6dKlfkiriCnaXobRq40jTxeLgPkeH0PdyQ1SCxYyeLdu3fLDWq3O9vb2+ogphIiazIsrEHiXgHnDx1D3bZVpDk9nW+hAn8WLFzudbYFLytuM+A0CUxEwP9Qteo9P0Wm0QrtmzRp/roWcj/X90aNHPvIxRm+qJs59CEwmQI9vMhMTVzSc1SE+GtIqac5ubGyMaMcmtIMQoRMw3+MLHXA98quHt23btreMXl9fH0avHpi8A4EYAuZ7fDEy5/KSIqPI2Vjn0ra0tPhox+yjzaWqqZQBAuYNX56DYGo4e/DgQd+zi0K7a4cFQQMM/GUgQq4JmDd8eQ09H4V3Vw9PSS4p8sFjsSLXf29UzggB84bPCKeGxHj+/LnfQqYennzvdFqZenXt7e0+LJSCB+S5Z9sQPF6GQAIEMHwJQC3NUgsViohy4cIFf7m7u9udP3/ez+GVPsd3CEAgPQLmDV+oPSG5oWj+ToavtbXVD2PlksLOivQaNyVBoBwB84YvhDm+169f+4O2r1+/7oMEKGDA6OioW7Zsmfe/Uy9PRzWSIAABGwTMG74Qenznzp3zfndasFCPbteuXd7gsVBho5EjBQTeJWDe8IXQ45PBk4OxFiz+85//uPfee+9dzvwOAQgYImDe8BliVVYUzp8ti4YbEDBJgC1rJtWCUBCAQJIEzBu+okdnSVL55A2BohIwb/iIx1fUpkm9IZAcAfOGL4RV3eTUQ84QgEASBMwbvhBWdZNQDHlCAALJETBv+JKrOjlDAAJFJYDhK6rmqTcECkzAvOFjVbfArZOqQyAhAuYNH6u6CWmebCFQYAJB7Nw4dOiQa2tre0tNCs/+6tWrt65l9Yt6pdYNdCgySk4reo1rTyFwtPS3EcdQ15opo6Ie1bovftr4+Ph4OeEsXFfwTu2FLU36XeCsuLrIMEsWq1vXxEsntinCs+WkUF4K43XgwAGTYqotStf6sZp07rJ0rfOWrYZAi45bGB4ebgpGBfKtNZnv8dVqyWsF0Izno5BT9SigGeVXk4c4WpZPdVA4L8tySjYZZ8sco06CjjKwmsRRRjlLjubn+KwqLzS5QvCH1DDScoqMimUZI9lC0HckaxafGL4sqGdQppVpgUpVJ5xXJTrcayYBDF8zaZJXQwTopTSEj5drIGB7bFFDRbJ8VKHnra/q6qS3EJJ14yddkxojIB1nrWfzq7qNIU7n7cePH/tVXauraKKgFUlNKltO4ihXFstyWueoeUitjFte3JCM4pjl4gaGz7IlQDYIQCARAszxNQGrzsl918G6Cdk2JYudO3e62bNnu5kzZ/ozQY4ePdqUfJuZiYaP8j0TQy3CdHV1OfmjWUzyQYvclyzJp17U3LlzPT8x1I/0bm0l+sqVK16/kk361pnTmUwfyIGZVD+BgYEBOYCPz5o1q/5MEnpz7dq14wsXLhwfGxsbf/HixfjWrVu9rCdOnEioxPqy3bNnj5dreHjYyyqmra2t9WWW4Fv379/3cs6bNy/BUurLWsyWL19e38spvaV22NLSMn7x4kWvZ+lbfztHjhxJSYL/FUOPr85/20+ePHHr1q3zXvzaMpP1ZG1cNXSQuY661NyjegDaEaH5s3v37sU9ntk1/eeXnJrzkaw6h1iLRZZ6K3fv3nU9PT3+2NDMQFUoeGRkxLW3t/t2KG6Z9KIqyKdbcv5euXKln3/UzivJqzY5Z86cKd5s/m0MX51M//nnH/+Hqt0G+kO1uL9UW6tklEuT/ig07LWUtNUv2qYm+fr7+92CBQtMbbk6fPiwnyqQri2mCxcueLFWr17th5KS11qS4evs7PTTGEuXLvUdB+l+zZo16Yv6v84f3+oloKGjuuzWk4a+kvP27dsmRe3r6/PySUYNh6wkDXHb29u9OBqWWRvqRkNwDSM1taGf6LsVhpJD3DQlJP1KRk1n6LuGvGkn/PjS/1+TSYn79+93Gg7p4HOLk/OCIheMgYEB7+ogeTUc0iHtWSb16Pft2+e+/vprL4ZkspY0PbBnzx7fm9JQUqMPLSJ8+umnfv9z1gxLeWmqRcEy9Kne/caNG93JkyfTd21J29LmsTzrPT71UvSfVj2DUNKOHTvG1UPNOqlnol7J4ODguBYQtEAklvpumacWsyR3FgsH5XQmlrt27XrrtuTr7u5+61oavzDHV/rvKIff5Saybds2Nzg4aNYxWHORmv8pTerFqEeQZYoWrCSL5s60mCV3IMml71ZcbuSwLH6RvKXMJLuVpF7euzJmpuM0rGvey7Da49N/V81NyY2g9Ee9AUvpq6++8nNSly9f9nKqdzVnzhxT83wRL+na4hyfeqGbN2+e0LOY6trff/8diZ7556NHj7xexVDtUfO4movMoldqf0Y+c3VNLYCGPRpWWEqRj5TkevdHw0hrSUZafwSSVX+wlhY3SllZNHyRfIsXL57QtVWfvmvXrnn9Ss/St/52skgsbjRhHCB/JPmhWUoa4pSTyeI+TrmzyO9wdHTUL3JYlFH61cKQ1UjbpVMGvb29lprjhCxaaNEClqYJNPR9191q4sGEv7BXN2HAZA8BCNgjwOKGPZ0gEQQgkDCB/wd4OfihKqONKQAAAABJRU5ErkJggg=="></p>
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"></p>
<p>regular increase for first five <em><strong>AND</strong> </em>sharp increase to the 6th</p>
<p> </p>
<p><em>A log graph is acceptable.</em></p>
<p><em>Accept log plot on given axes (without amendment of y-axis).</em></p>
<p><em>Award mark if gradient of 5 to 6 is greater than “best fit line” of 1 to 5.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">d.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>titanium atoms/ions distort the regular arrangement of atoms/ions</p>
<p><strong><em>OR</em></strong></p>
<p>titanium atoms/ions are a different size to aluminium <strong>«</strong>atoms/ions<strong>»</strong></p>
<p>prevent layers sliding over each other</p>
<p> </p>
<p><em>Accept diagram showing different sizes </em><em>of atoms/ions.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">d.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>pair of electrons provided by the ligand</p>
<p> </p>
<p><em>Do not accept “dative” or “coordinate bonding” alone.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>partially filled d-orbitals</p>
<p>«ligands cause» d-orbitals «to» split</p>
<p>light is absorbed as electrons transit to a higher energy level «in d–d transitions»<br><em><strong>OR</strong></em><br>light is absorbed as electrons are promoted</p>
<p>energy gap corresponds to light in the visible region of the spectrum</p>
<p>colour observed is the complementary colour</p>
<p><em><strong>[4 marks]</strong></em></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>ionic</p>
<p><strong><em>OR</em></strong></p>
<p>«electrostatic» attraction between oppositely charged ions</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">g.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«simple» molecular structure</p>
<p><strong><em>OR</em></strong></p>
<p>weak«er» intermolecular bonds</p>
<p><strong><em>OR</em></strong></p>
<p>weak«er» bonds between molecules</p>
<p> </p>
<p><em>Accept specific examples of weak </em><em>bonds such as London/dispersion and </em><em>van der Waals.</em></p>
<p><em>Do </em><strong><em>not </em></strong><em>accept “covalent”.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">g.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{TiC}}{{\text{l}}_{\text{4}}}{\text{(l)}} + {\text{2}}{{\text{H}}_{\text{2}}}{\text{O(l)}} \to {\text{Ti}}{{\text{O}}_{\text{2}}}{\text{(s)}} + {\text{4HCl(aq)}}">
<mrow>
<mtext>TiC</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mtext>4</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(l)</mtext>
</mrow>
<mo>+</mo>
<mrow>
<mtext>2</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>O(l)</mtext>
</mrow>
<mo stretchy="false">→</mo>
<mrow>
<mtext>Ti</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>O</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(s)</mtext>
</mrow>
<mo>+</mo>
<mrow>
<mtext>4HCl(aq)</mtext>
</mrow>
</math></span> correct products<br>correct balancing</p>
<p> </p>
<p><em>Accept ionic equation.</em></p>
<p><em>Award M2 if products are HCl and a </em><em>compound of Ti and O.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">h.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>HCl causes breathing/respiratory problems</p>
<p><strong><em>OR</em></strong></p>
<p>HCl is an irritant</p>
<p><strong><em>OR</em></strong></p>
<p>HCl is toxic</p>
<p><strong><em>OR</em></strong></p>
<p>HCl has acidic vapour</p>
<p><strong><em>OR</em></strong></p>
<p>HCl is corrosive</p>
<p> </p>
<p><em>Accept TiO<sub>2</sub> causes breathing</em></p>
<p><em>problems/is an irritant.</em></p>
<p><em>Accept “harmful” for both HCl and TiO<sub>2</sub></em><em>.</em></p>
<p><em>Accept “smoke is asphyxiant”.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">h.ii.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">g.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">g.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">h.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">h.ii.</div>
</div>
<br><hr><br><div class="specification">
<p>Magnetite, Fe<sub>3</sub>O<sub>4</sub>, is another ore of iron that contains both Fe<sup>2+</sup> and Fe<sup>3+</sup>.</p>
</div>
<div class="specification">
<p>Iron exists as several isotopes.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the ratio of Fe<sup>2+</sup>:Fe<sup>3+</sup> in Fe<sub>3</sub>O<sub>4</sub>.</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>State the type of spectroscopy that could be used to determine their relative abundances.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the number of protons, neutrons and electrons in each species.</p>
<p><img 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" width="502" height="151"></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>Iron has a relatively small specific heat capacity; the temperature of a 50 g sample rises by 44.4°C when it absorbs 1 kJ of heat energy.</p>
<p>Determine the specific heat capacity of iron, in J g<sup>−1 </sup>K<sup>−1</sup>. Use section 1 of the data booklet.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>A voltaic cell is set up between the Fe<sup>2+ </sup>(aq) | Fe (s) and Fe<sup>3+</sup> (aq) | Fe<sup>2+</sup> (aq) half-cells.</p>
<p>Deduce the equation and the cell potential of the spontaneous reaction. Use section 24 of the data booklet.</p>
<p><img 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" width="651" height="204"></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>The figure shows an apparatus that could be used to electroplate iron with zinc. Label the figure with the required substances.</p>
<p style="text-align:center;"><img 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EOWgAQkIIGVQqlQ+mMwIQGFckKYFiUBCUhAAkdDQKFUKI9msB5DQxXKY+gl2ygBCUhAAlMTUCgVyqnH1KLLUygX3f0GLwEJSGCxBBRKhXKxg38XgSuUu6BqmRKQgAQkcOgEFEqF8tDH6FG1T6E8qu6ysRKQgAQkMBEBhVKhnGgoWQwEFErHgQQkIAEJLJGAQqlQLnHc7yxmhXJnaC1YAhKQgAQOmIBCqVAe8PA8vqYplMfXZ7ZYAhKQgATGE1AoFcrxo8gSNgQUyg0KX0hAAhKQwIIILEYo//Zv//vqb/7mv66+851vr743QCLLa5AGkwTqCEwhlP/wrW8dzFglnqatLn7zJCABCUhgmQQWIZQf++hHN5PiG97wutVff/3ro6RSoVzmD0ufqMcK5ecfeWQzVinrr558cq9jtUkm/RnoMxo8RwISkMByCJy8ULIyWZ0Ur7vuTXudpJczvJYXKWOtXM3e5jUrk9Wxyi9A25RRPXes+FXbU75fXu8asQQkIAEJNBE4eaGsrvhkQqxOvNu8HztJN3WG+cdPgLGxzVgqz+WRjIxP98232uvY9B05Dz74wOrcuSsbT3/xxZ+u++D8+ecaz+kqg2tpI2U1JdpAOU2pq4wp2tmnjLHtJL6uMrp4nlI7u2Lt6vc+PLvK6MPzVNrZJ9au8dnFs0+fdPGcq51N/99MlX/yQukK5VRDxXL6EEAkSknc5rUrlH0Ie44EJCABCRwigZMXSib0Bz772c3KD7e7kcxtJvrquUiDSQJ1BMYIJeOMZyYpg43b3axaVsffNu/HjtW0pW5fF795EpCABCSwTAKLEEomYD7dzaS4zWTcdO7YSXqZQ20ZUU8xxhirY0UyY3fsWOX6pm0ZPWqUEpCABCTQh8BihJIJdorJPuX0ges5yyMw1RiLEI7d054xqUkmx5Y7pk1eKwEJSEACh0dAoRzwnZROpoc3kA+lRYyNsRI45fVjxyrXN22Hwtx2SEACEpDA/gkolArl/kfhCbVAoTyhzjQUCUhAAhLoTUChVCh7DxZP7CagUHYz8gwJSEACEjg9AgqlQnl6o3qPESmUe4Rv1RKQgAQksDcCCqVCubfBd4oVK5Sn2KvGJAEJSEACXQQUSoWya4x4fAsCCuUWsDxVAhKQgAROhsCihTLf98d3/lW3tk/aIg37Si+99NLqhRdeuGD71a/+376a1FlvXXvJO9QEy7o2w74r7Usoq+M378eOVa5v2rpYeFwCEpCABJZDYDahZFK67bZbVo888rn1l4y//PLLvSlzbZvg9TmWLzb/4L33rt761rdsJsn3vvc9q3PnrlpdccXrV7feesuK9+94x9vXxy+77NLVe95z24q/B17+dR3aM0dCYL75zf+x+tSnPrniL/xQ75vf/O9W99xz93q75ZZ3ra666ooV+yuvfMP6+Fve8ubVBz94z5rxPiTzBz/4/urxx7+4ev/7//2G8Z/92ftWV1991eptb7v+TNuJh414vvrVJ1ZcO3eCURi/8Y3n1u254oo3bNpJm9/0pmtXd91152bc0Bcw5roqY+LpMx7HnIMsMiYZq/w1Hep8/esvX7397Teu88i/7bZbV9dcc/WmD/jZe/TRz68Zb/uzl36q7ufuK+uTgAQkIIHDJTCbUILgn/7pn1avfe1rVjfe+Lb1RIco9VmpGjNJM/l+7KMf3UysyCJ5mdD/9E/fvEIc+TvKZR51Pvfcf1v99de/vv7TjQgb4slEzrFdJSZ75PfWW9+9lkQk4AtfeGwtDuUKWQSZfRLHEYyHH35oLaG08wMfuGtdXs7ZxZ56aScihth8+MP3rfuVWDgGO44nkR/B4TVjAKH8kz+5dvW61712fW5V1HLtVHu43X33XZtxGPn69a9/tamCNtNO2pjEdTB+9tln1u0ktne/++bNL0ljxmrGX92e8fm5v/iL1VVXXblCfPlzoozNp5/+xro9/MnGXEcbGecZ97QdxufOXbke67SR2Pr+7HF+3RYm7iUgAQlIQAKzCeV3v/svq0svvWQjFgjDk09+dXX55ZetRYJJsJy4y64ZMkkzwTKpMvkz+SI61XJY7XvNa159RiY5/+KL/3j1hcce20zQkclvfOO/bCbphx76D70m5DKOttfw+NKXHl8LN6th8CAhkzAqZZI8Ysk5nBe+Zd7Pf/7z9bWsvrIq+8wzTzcybmtb0zFWFFldhM/99390zbKsP20qZRJh4/wHHvjMmWJvuumdq+uvf+vqxz/+t42o3XHH7ZOuWjK+vva1p9YrdzfffNNGAmkPfX7+/HObNrGieu2115zhBXd++Sj7IjFSHuXQL+UvJ5G8ofvyFyJ+fh5+6KHNuPzaU0+tf6ZKmaRuxvC999yzPo/2kG644fp12+HPWGMsMK5gXvbZBsAfXnB901Y91/cSkIAEJLBcArMJJRM2K5NJTGxMaOQxoUVMHnzwgQskggmtz4TMis19H/rQ6vLLX7uWSSZaJlgkgJXIspy6lclIZymT5NF2bm+mDZlgOYaocayUjMTYtWdiT+yU+epXX7z64Q9/uLkMgaFupCUpMsk+ieOcV+aVfDmP1ShWhKkHmUMGmwQ+5dbtiZNb2sh4Yv/nf/7fF9SfNjX1eVk25zAWaHMSj0YQE1JHPaxgDmFMjDBO7IyFkieyDZNSJsm75JKLVgh5Ul1fJMZwp30ZG7ff/t5Vxl/GTd89j1c8/sUvrh9zQA6Rbcr9+P33b8YgMgmfMq8c66mL6+r4Jm5+3liFRYZZ2a4+dpB46vZh414CEpCABCQwm1D2EQvEgVUYVnuYwJBMVgJ5za1mhJEVG/a8Z+O2Hs+McQ4ieeONN2yed6xOsJzDRDtGJpnAKSdSwgR8770fWLcbwaTNrP5kQ+TYkM7kcRuaWCkH0UGaeBSgFKo6gSGPayIwDN+q1JBXlckMc/qAerhNSjspi2cEaX/ahnylzclD5jif29FsvOacpvrTpj59Xic71dip6x3vuPFM/bQp7Ut7aXvyPvjBe9eiRIy0l1vaVcaRqilkMiyoD9lGJu++6/e31LlNnWdxGbPIIuOYLeOY/bvedfP6lx/GMeOacZ7xVopjX5lkrNOeqqzXxZ1fnCKvMMvPHmXUbRlX7iUgAQlIQAKzCWVQt8lOOfGxsvTxj39svQrDZMaEywSNDCKdTHyZnNn3Xa3pK5PUSZnlyiSTOnkcS4o8IUGsOCKYDzzw2fU5rPowMbOxKki7eY4N8clqWx+hoq4pZLLkS5kRC1apImI8n8ftXtrKLfjkpy8i0lxfxl7lMZVMVmOHMQIZxohaE+NIbx3jxF7KJP06ZGWyZEEZWR3MLzQ8G4pgMk7ZkDe2W2559/pxDPIicl/+0pc214+VScY67Sl/UekTd/VnjzLqtvS5ewlIQAISkMCsQtlXJumWcpUqk/TYCZZyqh/AYWInv7zNjaSQVyeTrA5xjLQPocqQrat7G751YsHKKbGNlapdyeQcsW97m7scB8QNP4QyMonURTDZ1/1Ck19UGFs5d+xYTz0Zq7Szrc+b4ub6pi394V4CEpCABCQwm1BuIzulTNJFTGhTTLCUw0SfSZuVI/LqZPIjH/7w5jwEk5XJTPhcUyd0yTt0oeKrhYihXJ2LTJJXygX5xE5sSYmTfkpK3jHH/rnPPZxw1p+OHxJ3xlie281Y24dMMtZpD6mtz9vi5vqmbQPLFxKQgAQksHgCswllJqUQRzCTx2tSmVfKTs674473bSSP58zIZ59JGzHMucnLpFrml3ncbsy5OaeUybY8PjCRxOucmzxiqOaVMfaN+777PpQi15/gpcyy7iH18BxlUtpYigXH6vKTV9Z/arEnxpJH8rriznnsM67K8cZr8su88heaXD92rKeelMe+q89zbl3cOVbuM37cS0ACEpCABGYTynI1C5Hieb661azqc365jZgJksm47hZhnw8qMBlSDqtHdbe+WZEqb3PngwplXp5LK1fsqiuqDKus2I2Ju8piF/VwG7R6i5v21+XTF9VVu120iXr2FfvYuBljjM9SJqurlU1jMLeppxjrpbRWWdbFWJeXn71SIsvX/vcpAQlIQAISCIHZhDIVbiuTTIZMYpmgh8ok11NOX5nk3KpgMuGTx7GkUxMqbnE3ycWpyyT9WpXrbSWaMjJWI46Mm2pe9ReaXcgkddCerIQzZuv6ti1ujjVt+RlwLwEJSEACEphVKIfIJNcwoTEhj5FJJnfKqU7kdauQdR/KiUyWH8o5RZmE0VipgkvS0D7P9btgXCdVeYa0fH50W5mkrRmrhyCTEcqwHBI38TRtKde9BCQgAQlIYDah5KtI+BAMk3QSefxd5OotuU984s/P5DGhfeXLX16vDuaDMQgmXwCN/JS3GPlKHr6up1wVIo/veqSc8nYi319ZXYX86Ec+sj6vfI6S7xXkvNRNOZRJ3eWtb74KiK/bKYVqTNxw+vu//5+96+Hrfvrw5Wt2qtLIF4kTV/VDOXxPZXVl8lRjL58dHBp3xgZfv1Q3Bqu/0Nx1550X/JIzxVhPPbSH1NbnbXFzfdOWn2P3EpCABCQggdmEMn+7OcgRLfKqfyu57u8nM6HxYQgEMrcOeU0e3++XPEQnf8O4mkc+5SSfL44mj2uSV7cCWq5M5jzKQVrzXZLExGvyKC8pMZZ/ejB5feKmrDnqqVsFJIa6Fbq52jRXPXWxj4mbsdE2Bokr46huDDKepxjrqYf21P1M9Y2b65u2jHP3EpCABCQggdmEcoxUMaGNlUkmWMphMq+byPvKJBM+5SiTv//hOTWRHiOT/LLA2GB8RRoZdwhm9ZeXujE4tUzSBtpT/eWlr0zmZ4Yy6jb/+5SABCQgAQmEwGxCmQqHrNAxmWWCHrIyWa7W1E3kdTJJneVtburPhM+xpFMTKm7hj5UqBGbMLxD7WpVNn5ePMTB2tmlPOVb3LZOMddrDz1xSnUy2xc2xpi1lupeABCQgAQnMKpRDZBJhY0JD6MbIZFZrqitFdTKZD97kmclSJmkD7SGdokwi0XXPTG4jVccok0gk/TpGJok7Y/UQZJKxnrHKeK2Tya64ub5p879PCUhAAhKQQAjMJpRDZZKGMqGNlcms1mS1EknkS82rq5BIJHnlF6Z/5tOfXr+nDRHTY5bJZ5995gJpRCyIG+kopeqJJ76yfqaPeJNONfbyS8uHxs1YPRSZpB20h9TW521xN8lkys2YcC8BCUhAAssmMJtQchu0+iwXKzrVPCbB6moYk9e2H8ApxTG3uSkHISxXHPnrIcmLTLJqmby6FUzKoY3UkRRhPvTVufB9/vnn0/TaL2HnYN2K1jHLZN/Yx8TN2NjnM5MZ6xn/tGdM3FzftG0GkC8kIAEJSGDxBGYVyvJZrr4yicAwofH8YiSPCZJJm8mzmle9pV1OsJTD+XkWMiuO5PWVydzypg1JxyaT5WpjuTKZeNiPkarwqP6ysE2fzyHsdbGPjZsx1jYGM17rxuAUq/DVumlP9Re0beLm+qatHC++loAEJCCBZROYTSiHyiSTIRNaJuKhMsn1lFM3kdfJJLe8q7fDM+FTTlLk6VhWJrtkEtkYK1VjVqPnWgGtkypWwelzjiVt2x7GBmM047X8hSZ5dWMwY4tjOW/MWKcMyqI9XX3eFjfXN21h5F4CEpCABCQwm1AG9ZBVKiY0JsixEyzlMHkyeWfSrpNJ8jiXfc4rJ3yOkU5RJhGqsVJ1jCuTSCT9OkYmiZsyMmb2LZOM9YxVxmudRHfFzfVNW36m3UtAAhKQgARmFcohMkkXMaGNlcms1pQyyfOTyFP5zGQEkzojBpzHn2jM6hHHjlkmeX6SuFmJTIps8JVBpVRx7hVXHPfzouUKXVvs9GvS0Lgzbg5BJhnriWlo3FzftIWVewlIQAISkMBsQjlUJukiJrQhz0xGCBHBrNYkj8kWSeQT3MmLTJZ/Mi955Xm0h9WoY7zNjVwhiHyKOamUyeSxT3557jGLdN/Yx8TN2DgUmWRc054xcXN901aOFV9LQAISkMMsUDcAABhQSURBVMCyCcwmlNXboKw4Vj8swMRX92GMTNIRv6xWVj+A0DWRUw5llLevU2bEsU4myxVM6qacY5XJKt/IEyuTZUp+uYp57DLZJ/axcTM2quMyv9CUq+N1YzDjmnGccZm8apldYz3X054xcXN901aOF19LQAISkMCyCcwmlMhIEpMkkxwCmdQkk9Xn0sZMsEyMdRN5nUx+4bHHLrgdnropJymSVRXmMSuyKXPX0hp5KmXy17/+1WZlcmkyef78cxc8CrBtXzA2GCcRun3KJGM97cl4revztri5vmlLme4lIAEJSEACswllUG8rk0gVExoTdIRuzGoNt77zLCRl1snkP3zrW+s6qyuT1MvKEO0hRTZOSSYvv/yy0VJV5TGkzzNedsG4TqoQafp1rERnrDK29i2TecwjLIfETTxNW8p1LwEJSEACEphVKIeKBRPaWJnMak0pk/lQTnmbG5m87LJL15NoVpnIi0ySR3t2ITopc9crk/mARnVlEpkkr5QqRAtB3HWbDiF2+jVpaNyUcSgyyVhPTG19nnOIvRo3x5q2sHIvAQlIQAISmE0oh8okXcSEhtANXZnMbW7KiSSSx4dy3vWumzd5kck6wbz11ls251EOklVdiUO6qnlj4o5kVcscU08+oHHHHbdvRj8SEZncZP5BLsi/8873b7J30aaUuWtp7Rt7eAyJm7FxCCuT+cWJ9oyJm+ubts2g8IUEJCABCSyewGxCuc0zk1WxYEIbK5NZrUEoI5jlhx/aZLIUTASR9kwpeXMKFf1Q8o08lauV/FTU5aedpxz72LgZG9xqZoyVv7xUH7XIins5BpM3xVhP3bSnT583xc31Tdvi//cUgAQkIAEJbAjMJpSskiTxmkmOCTQpslLKTvKY0Dg3k2TfT7hGHMvVmuSVE/k2MslkT3toWxJtrkoW7R0j0ZRXLXNMPWFe8q2TCGKqy09fTNmmlFm2KXlT1tM39iniZmwcikzSDtpT8q2LsS4v/cD1TVvGv3sJSEACEpDAbEIZ1Jnc+8okYsGENlYmuZ5yWCnqksmcW12ZRCYjlIlnjORl0i4n/OTtQ6iIiZXK6u3vXbQpZR5S7IyPcqU2bdymL8qxml9e8gsN44pxzxgqx2DyyOf1FGM9ddOepDpx5Fhb3Bxr2lKuewlIQAISkMCsQjlEJpnUmdCYZIeuTHJtVmvKibxuZZJzEcnUyfvqhM8xkjJ5y5mVWjgd66osIpl+pW+HyCTjO+MmQrdPmWSsJ6YmmeyKm+ubNv/7lIAEJCABCYTAbEI5VCZpKBPaWJnMV6ggiJHEG25424oteeyRST7ljWzyPtJ53XVv2qwe0Z5jlUlE6aab3rneMgjYZ2US8UiKhFx//VvPiOOpxz4mbsbGocgk45f29O3zuri5vmnLOHEvAQlIQAISmE0ot3lmsnqLkQmtejuQlZ8+H37I5J7VGibZrDiWq5VtMlkKZibpahuPYXUuq27lbWZ+BNpkktvfpWQes0zSZ12xR6qGxs1Y3dcHcMqxzjgtx+rQuJtkknyTBCQgAQlIIARmE0qEK6lObJJXFTUmQiYvrs8kOUQmM7mOlcmIKe1NUib7/9WjUmza+rw6Dvoyzkp4XT1lHn1XFemxMplb3vu+zZ2fE5jxszMmboUyP+XuJSABCUigjcBsQplGRCLKSS55VYngHPKY1DJJDpXJCGX1AxHkV29z59zqymRuu9OepL6ikxi3iZtrkvrWM0aoqIsvNWd1bugKXeqnvUnHEjv9OjbucqzCoDreklddcc/Y4vgUYz31lGOV/qhKNHltcXOsaUv/upeABCQgAQnMKpRDxYIJjUl2jEwywVJO121u6uFPLnJunqMkr5zwOUaizEP/EEodc9peJxbI5MUX//FoqYJLUl39yWv6BYLjSX0ZR2TrhL3Mo9ym2OnXsbf3KYPxQrv3LZOM2YzVoXFzfdOWPnIvAQlIQAISmE0oIxHl5J68LrFgQhsrk0zulMNkn+2uO+888wEc8pFJpOoLjz22OY8P7lQ/lNNXdBLjkLgZnn3r2UaoPvGJP79AGiOT/L3nUqr4AE/1Qzl923RssZ8//9zmf4ShcTPGDkUmGc+0h9TW521xc33TtoHlCwlIQAISWDyB2YQSaRwqVUxo234AJ9JYTu6Uk/xyxTF5kcmvPfXU5rym2+HHujJJH1QFvpTJ8ieibiXvmGWyb+xj4maMHcLKZMY07RkTN9c3beVY8bUEJCABCSybwGxCOVQmERgmND7Bmkkyn2YtP/yQvPKWdimTXEs57MfIJHVSDiuCSVkdpL6kQ1yd6ysWxDBGqo459rFxMzbqxuBcz0yWdWfM9/kFoilu4mnaMtbdS0ACEpCABGYTyqCObFQnuTrZyWoYE9pYmczk2lcmqbP6oZzcdudY0qnJJKuVTXJx6quy9Gv1QzkZg31/gSjHan6h2ZdMMtZpDz9zSXWr0W1xc6xpS5nuJSABCUhAArMK5RCZZCJnQkMIswq57cpkZJRyqpN73W3uug/lRCZpA+WQTlEmiW2sVI1Zje4jreFeV0+ZRx/V/aJSJ1XkEXv5/Oi2MkldlMF4OwSZZKxnrMJiSNxc37Stfwj8RwISkIAEJLBarWYTyqEySS8xoY2VyazWMNFHMD//yCPrD+CUz0xGJu+4432b8z7z6U+vLr/8tZvb7rQnUkN5SYmxlJrkbbMiS9lJdfUkr66eMo8yeF+t+9lnn1nHzQdwkiJU7EupeuKJr6yfX61rE+fec8/dq69+9YnVz372s3U9Zf3HFvt9930oOFZtcbf1OWPjUGSSdtAeUluft8XN9U3bBpYvJCABCUhg8QRmE0qkpio2dbLDJFhdpWJCq/71kQhm+cxYJvIyD3nkfVZrIpNZcXz66W9sxDEyyT7n8ZpPfZfSSXtoI/UlRZ4OXajC9/nnn0/T1ytXxIQglon3xF6KZ2T2wx++74xovPrVF68efvihzeXhMbTPU0/JOHl1jMs8GtE2trpib4u7bE9iLOuGI2OtuhKeMcj1GVsZg4zl5GVcD12Fr9ZDe/r2eV3cXN+0bTrbFxKQgAQksHgCswolE3BS24RfXQ1jQptigqUcJu66ibyvTDLhU06XWEQ2DlGoSr5IBPGwL1OdXEToiJ1rqluYHHPsXXGHUWIsZZI8mByKTDLWaU/1F7S6Pm+Ku9rH5fuwcC8BCUhAAhKYTSiZbJO2kUkmQyax6gpOuQqJyDCJl3mcX7da01cmucVdXZnM6hHtSWoSizErsqW4pZ7kVQWGeso8zu/Lt04sWI1skotyVbYUi7ymH8LjGEWaVfCmFdnIMnwTY8k9ebDg3IzX6hgkv24MZmxN8YtT6qYs2tP1C0Rb3Onbun3GpnsJSEACEpDAbEIZ1H1lJwLF5MxkxiSZSbcUR473kUmup5zq91nWrUxye5tzy9vcqTuTNPFEIurE4hiFCplEqPpI1eOPf3HNKKKBbPLs5TGLNLHU3d7vK5PEThkRun3LJGOd9iQ1/QLRFjfHmraU614CEpCABCQwq1AOkUm6iAktQjdUJiOClJMJnw/lUHb5zCQSiVCxQpnzyHv96y/f3HbnmmOWST6gQQwIRlJkkrxSqnh9xRX1z4tGoD71qU+ufvzjfzsKmWyLHQFLaou77RcIuDJuDkEmGeu0hzQ0bq5v2sLKvQQkIAEJSGA2oRwqk3RR04S2z3xkqk0sMrTGxJ1V2rp6yjzq6ltPVnwRjKRSJpPHPvl84jmpKtL0QfJgwuukvm1KnOVKYPLKOFNPmUddfevpG3ufuKk37Snj3ueYbKp7TNxNZZJvkoAEJCABCYTAbEJZTrpUziRX/bBAJGJXYpFJMBNsWU8komnVLsAiEaXUJK8aY1/R2XXcaXvfuDm/jkfiLGOHKXGfSux94w6LU49bocxPj3sJSEACEmgjMJtQMgEnITZzyyR1Mzn2larz559b3/ouBTMSUQpV8k5FLHgOchupilCW/XusIr3UPm+LW6HM/1ruJSABCUigjcBsQplG7EsmqT+TI21IqpMnpIpzlyiT/JUcniHtGzucTkEml9znbWM9PzN1+/wMuZeABCQgAQnMKpT7lMm6lUm+4LoqT4gFUsUEmkQeK5CnsjLZFjd/x7uUya7YS07HsDLZFnsZS1fcxybRQ+OuE8nk5efDvQQkIAEJSGA2oTwEmSyFgecW+fRy+YGTyCRSlZS8O+98f7JqP4zBwWMQqr5xE0+f2MP0lGLvE3cGw6nHHXms24eBewlIQAISkMBsQrmPZybp3nJlMvJT9yGYSESdTJZ5x/zMZN+44VbHoy52mB6LVDEGGQ9JdTHW5dXFTRlLiLtOJJMXju4lIAEJSEACswklMpNUJzbJY5JOykRe5nGs70ReyiTXMRGmHsWiXhrhtI1UwbT6gSTYHsIvEBlH9vlwiY481u3D170EJCABCUhgNqEM6rrJPXmlOE4tk9TPpNhnlSrnLnFlkph5hrRv7DClr5KOVSaX3Of0YVN/14lk8tLn7iUgAQlIQAKzCmXEsVwdTN6uZZJ6mAjLuutW4hgSTK6cmxS5ra7E9V0pTYxl3cmbI+6+Er2tTMKj5HTMMrnkPi/7sDrWOda05efDvQQkIAEJSGA2oYxA7VOqqhPnTTe9c8VWpkgVskmKdF533ZvOrMQdq0wiDH3i7ht7mB6DTPaNfal9Xhd3k0ym38ufHV9LQAISkMByCcwmlNVVsgjmnCt0mQSzClPWzRBokkluAUcwOe+YZbL69Ud1cZMXueiKHabHIpN9Yu8bN4yWELdCSU+bJCABCUigi8BsQrnPlcnUzeSoTL7yoScGR1WiydtGqmB66B/Asc/b+7ytvxXKrv9CPS4BCUhAAhCYTSiDex8rk6mbybHPKhXnc27X6hznndIqFfFEMPvGDif6NCn9G4knP3nlinCT5PVd/aV86q6rp8xrqidxIlNJS+3ztrg51rSFm3sJSEACEpDArEK5b7FgYiylhu6vEwvyOLeUjb6ikxhLqUleWXeT6PStZxdCRdz85aC+MsnKJJySEuexxr7UPm+Lm2NNW/rdvQQkIAEJSGA2oeRvZl966SVnhA5hQ0oeeOAzZ3qCD41cf/1bz3wIhj8HiOggLUnkMdmVApN6yrzUw7lluuGG61eXXXbpGXGkPUjV+fPPbU69+uqrVtdee80F7eHasj3UTV5Zd9pTymTaM1fc1Xra4qa9pUh3xR6mpxD7Uvu8Le4mmUy/b35IfCEBCUhAAosmMJtQtk1MHmteBZKNbA51DCz6f06Dl4AEJCCBMwQUypZbeoc6kdsuJfMQxsCZ/0l8IwEJSEACiyagUCqUjc/IHYK02IbDledF/89p8BKQgAQkcIaAQqlQKpSOgUFj4Mz/JL6RgAQkIIFFE1AolYlBMuHK4eGuHM7RN4v+X9PgJSABCUjgAgKTCiWlzzGZWceyZcb+33//X/A/iRkSkIAEJLBoApML5SHTRERM0xKQ6bQ8LU0CEpCABCRwjAQUymPstQNqs0J5QJ1hUyQgAQlIQAJ7IqBQ7gn8qVSrUJ5KTxqHBCQgAQlIYDgBhXI4O6/8wzOzgpCABCQgAQlIYNkEFMpl9//o6F2hHI3QAiQgAQlIQAJHT0ChPPou3G8ACuV++Vu7BCQgAQlI4BAIKJSH0AtH3AaF8og7z6ZLQAISkIAEJiKgUE4EcqnFKJRL7XnjloAEJCABCbxCQKF8hYWvBhBQKAdA8xIJSEACEpDAiRFQKE+sQ+cOR6Gcm7j1SUACEpCABA6PgEJ5eH1yVC1SKI+qu2ysBCQgAQlIYCcEFMqdYF1OoQrlcvraSCUgAQlIQAJNBBTKJjLm9yKgUPbC5EkSkIAEJCCBkyagUJ509+4+OIVy94ytQQISkIAEJHDoBBTKQ++hA2+fQnngHWTzJCABCUhAAjMQUChngHzKVSiUp9y7xiYBCUhAAhLoR0Ch7MfJsxoIKJQNYMyWgAQkIAEJLIiAQrmgzt5FqArlLqhapgQkIAEJSOC4CCiUx9VfB9dahfLgusQGSUACEpCABGYnoFDOjvy0KlQoT6s/jUYCEpCABCQwhIBCOYSa12wIKJQbFL6QgAQkIAEJLJaAQrnYrp8mcIVyGo6WIgEJSEACEjhmAgrlMffeAbRdoTyATrAJEpCABCQggT0TUCj33AHHXr1Ceew9aPslIAEJSEAC4wkolOMZLroEhXLR3W/wEpCABCQggTUBhdKBMIqAQjkKnxdLQAISkIAEToKAQnkS3bi/IBTK/bG3ZglIQAISkMChEFAoD6UnjrQdCKWbDPY9Bvr++Dz44AOrc+eubDz9xRd/uh7P588/13hOVxlcCw/Kakq0gXKaUlcZU7SzTxlj20l8XWV08TyldnbF2tXvfXh2ldGH56m0s0+sXeOzi2efPuniOVc7m/6/mSpfoZyKpOVIQAISkIAEJCCBhRJQKBfa8YYtAQlIQAISkIAEpiKgUE5F0nIkIAEJSEACEpDAQgkolAvteMOWgAQkIAEJSEACUxFQKKciaTkSkIAEJCABCUhgoQQUyoV2vGFLQAISkIAEJCCBqQgolFORtBwJSEACEpCABCSwUAIK5UI73rAlIAEJSEACEpDAVAQUyqlIWo4EJCABCUhAAhJYKAGFcqEdb9gSkIAEJCABCUhgKgIK5VQkLUcCEpCABCQgAQkslIBCudCON2wJSEACEpCABCQwFQGFciqSliMBCUhAAhKQgAQWSkChXGjHG7YEJCABCUhAAhKYioBCORVJy5GABCQgAQlIQAILJaBQLrTjDVsCEpCABCQgAQlMRUChnIqk5UhAAhKQgAQkIIGFElAoF9rxhi0BCUhAAhKQgASmIqBQTkXSciQgAQlIQAISkMBCCSiUC+14w5aABCQgAQlIQAJTEVAopyJpORKQgAQkIAEJSGChBBTKhXa8YUtAAhKQgAQkIIGpCCiUU5G0HAlIQAISkIAEJLBQAgrlQjvesCUgAQlIQAISkMBUBBTKqUhajgQkIAEJSEACElgoAYVyoR1v2BKQgAQkIAEJSGAqAgrlVCQtRwISkIAEJCABCSyUgEK50I43bAlIQAISkIAEJDAVAYVyKpKWIwEJSEACEpCABBZKQKFcaMcbtgQkIAEJSEACEpiKgEI5FUnLkYAEJCABCUhAAgsloFAutOMNWwISkIAEJCABCUxFQKGciqTlSEACEpCABCQggYUSUCgX2vGGLQEJSEACEpCABKYioFBORdJyJCABCUhAAhKQwEIJKJQL7XjDloAEJCABCUhAAlMRUCinImk5EpCABCQgAQlIYKEEFMqFdrxhS0ACEpCABCQggakIKJRTkbQcCUhAAhKQgAQksFACCuVCO96wJSABCUhAAhKQwFQEFMqpSFqOBCQgAQlIQAISWCgBhXKhHW/YEpCABCQgAQlIYCoCCuVUJC1HAhKQgAQkIAEJLJSAQrnQjjdsCUhAAhKQgAQkMBUBhXIqkpYjAQlIQAISkIAEFkpAoVxoxxu2BCQgAQlIQAISmIqAQjkVScuRgAQkIAEJSEACCyWgUC604w1bAhKQgAQkIAEJTEVAoZyKpOVIQAISkIAEJCCBhRJQKBfa8YYtAQlIQAISkIAEpiKgUE5F0nIkIAEJSEACEpDAQgkolAvteMOWgAQkIAEJSEACUxFQKKciaTkSkIAEJCABCUhgoQQUyoV2vGFLQAISkIAEJCCBqQgolFORtBwJSEACEpCABCSwUAIK5UI73rAlIAEJSEACEpDAVAQUyqlIWo4EJHDwBB588IHVuXNXNrbzxRd/urrooletzp9/rvGcrjK4ljIoqynRBsppSl1lTNHOPmWMbSfxdZXRxfOU2tkVa1e/9+HZVUYfnqfSzj6xdo3PLp59+qSL51ztbPr/Zqr8xQkl/9G7ycAxcFpjYKr/EC1HAhKQgASGEViUUA5D5FUSkIAEJCABCUhAAm0EFMo2Oh6TgAQkIAEJSEACEugkoFB2IvIECUhAAhKQgAQkIIE2AgplGx2PSUACEpCABCQgAQl0ElAoOxF5ggQkIAEJSEACEpBAGwGFso2OxyQgAQlIQAISkIAEOgkolJ2IPEECEpCABCQgAQlIoI2AQtlGx2MSkIAEJCABCUhAAp0EFMpORJ4gAQlIQAISkIAEJNBGQKFso+MxCUhAAhKQgAQkIIFOAgplJyJPkIAEJCABCUhAAhJoI6BQttHxmAQkIAEJSEACEpBAJwGFshORJ0hAAhKQgAQkIAEJtBFQKNvoeEwCEpCABCQgAQlIoJOAQtmJyBMkIAEJSEACEpCABNoI/H/eEYPxym8yAAAAAABJRU5ErkJggg=="></p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline why, unlike typical transition metals, zinc compounds are not coloured.</p>
<div class="marks">[1]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Transition metals like iron can form complex ions. Discuss the bonding between transition metals and their ligands in terms of acid-base theory.</p>
<div class="marks">[2]</div>
<div class="question_part_label">g.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>1:2 ✔</p>
<p><em>Accept 2 Fe<sup>3+</sup>: 1 Fe<sup>2+</sup></em><br><em>Do <strong>not</strong> accept 2:1 only</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>mass «spectroscopy»/MS ✔</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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" width="515" height="88"></p>
<p><em><br>Award <strong>[1 max]</strong> for 4 correct values.</em></p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>specific heat capacity « = <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfrac><mi>q</mi><mrow><mi>m</mi><mo>×</mo><mo>∆</mo><mi>T</mi></mrow></mfrac><mo>/</mo><mfrac><mrow><mn>1000</mn><mo> </mo><mi mathvariant="normal">J</mi></mrow><mrow><mn>50</mn><mo> </mo><mi mathvariant="normal">g</mi><mo>×</mo><mn>44</mn><mo> </mo><mi mathvariant="normal">K</mi></mrow></mfrac></math>» = 0.45 «J g<sup>−1 </sup>K<sup>−1</sup>» ✔</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Equation:</em><br>2Fe<sup>3+</sup>(aq) + Fe(s) → 3Fe<sup>2+</sup>(aq) ✔</p>
<p><em>Cell potential:</em><br>«+0.77 V − (−0.45 V) = +»1.22 «V» ✔</p>
<p><em><br>Do <strong>not</strong> accept reverse reaction or equilibrium arrow.</em></p>
<p><em>Do <strong>not</strong> accept negative value for M2.</em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAecAAAEkCAYAAAAVcflOAAAgAElEQVR4AeydhVtUXff+f//J933fJ+zu7sACBURBuhHsAAwUVBTExkQFu+Ox47G7uwMDBaU75/5d95o544AYD8yDoPtc1wBzOHPOPvfesz97rb32Ov8PalMKKAWUAkoBpYBSoFop8P+qVWlUYZQCSgGlgFJAKaAUgIKzagRKAaWAUkApoBSoZgooOFezClHFUQooBZQCSgGlgIJzFbcBna4Yhfk5yM7OLvPKQU5uAYpKdFVcopp2OR2KC/KQm6e0qmk1p8qrFFAKfL8CCs7fr5UZjixG1tsrWD+2M/78rTYa1m+AxoZXo4bt0XvwDGy+9AKZxQrQXxb7A87OGYbu7gtx9GkKCr98oPqPUkApoBSosQooOFdp1RngPNEeA9y34UmxdvEi5Hy4i/2Ro+AwYATW3kyDwrOmTdnfCs5lFVHvlQJKgZ9PAQXnKq3TL8EZgC4bb69uRoiDLbzX3UEOdNCVFCE/JwvpqalITU1HRmYuCoqK+R8UF+YhOysL2QV8D0COzUZmVh6KSrhD7/7lMTk8RleC4sJ8ZGdlII3nS8tAlokbXVdcgNzsLGRkZCAjPQ2p6VnIyS8qM0jQoaS4EHnZmYYypSEjKwf5RSVynK4oH9mZ2cjJK4TmnTfuyy9CiU6HojyWMQvZWZn666SmIysnX9z5vA9dUR6yMrOQzbKwHKmpSM/ifeuvAXyC85GHCUjJyJRyatfjfRflZSE9MxeFygNRpa1bXUwpoBQwnwIKzubT8jvO9GU460oyEH9+HSbbD0XA5nvIKcpC4sPjiJnght6NmqBF8+4Y6DATm07exbu8NLw4FYNAZxeM23pfQJ7/9grWTfXHEO9onH1fAJSk4P7eeRjpOhwzDz5BVuor3D60EhPcB6JN06Zo3mkQ3MI24eyTjygoKUbWo4MID3BF15790K9vOzTr6Y+InXeRZmLC64oz8fr2ASzxt0ff5k3RonE7WLmEYN3pJ/iYV4iMW5sxZmgAApefRXwuRwglSL++Hv42AZiy5iLe5Cbj2spRsHd2h6+HHay6tUHzxn3gMWEVjj9KRHZxEVIvLoejlTu8h3vCsndXtGrSCn28pmPdqadIzuFgQYPzfOzeGYWh3e0xft1lJGQV6fXXJePiPEd0dViI4y/TUPAdtaIOUQooBZQC1U0BBecqrREDnCfYoY/jalx+/wEfPvD1Dq8ensXmsPHwcpqDQy/TkPL4GJb4D0E/z6U49iIVeWnPcHpVMNysXDF99228vLMXEQHu8Iw4gbdFuUi4shnTbdugw5AJWHstGSVpD7F/biDcPSJx6MFTXNkYBo/Bnpi+7SaSC/KR9vAwFvi5YdjI5Tj5KlMPZ98BaDt0KtZffoa3iUlI+pBtYjnrkPfsEGZ6u8MhcB0uvMlC/seb2D49AD6TVuD401Skfyecbdq0g+2YGJx+loyM9xew0m8w7CasxtnnqUgmnC3aosngydh4IR6ZGa9wapEfLKynYdPVN8guSfo053z7JFY5W6CT5wqci08H8axLv4j5AyzgGHUM8WkKzVXavNXFlAJKAbMpoOBsNim/50QGOI/tilp/NkTLlq3QVnt1HgD7oDicfPAeeYUfcH/vfAwf4I7IU+8MgCxGVvw5rA70wdCAzbgZfxu75ozDULcFOPHqDe5sX4TxHTqip8tYBG+7i+RX57F62hT4hx7Eg6fnsCrQD0N9FuHI/bdITExE4vtHOL16CtydR2LO4adIpuXs6wm3yVtxK8VghZa6pRJkPdqPGd6ucAqMwfH775CWkYXc/EIUi0+55LstZxvrMYg+9gRpRTTLC/H+5Dw4DhiDefvu4smZZXC0GIYxq88iPlNfDl3CUYRY2WFU9Am8SEv4BOen7xF/JAyW3UZj6annSCssQvqFhRjY2Qvzjz1DWoGJ2V/qXtQbpYBSQClQvRVQcK7S+vmyW9u0GLr05zixPAiWtlPx1/M8w790KEy6g53ho2HjshBn3iTgzs4ojBzqh8g9f+PA0gUI8ovA3FnhGDFhHY4cXYtpE8cidP8jJD44gEifnqhXtwlat2qD9q1NXjbjMe/gIyQKnAPgG7oPj7Jk0tq0SPq/Cz7g9q4o+A/siJYtB8F7fARW7v0bVx8nIrug8PstZ/cZ2HjlLfR3Voy0yyvh0i8AM7ddx4NTS+FoEYDwnXeQlG+Aa8o5RFkPgmfEQTz++MYEzinITziGEKtesAzZjfuJr3EuyhHdhi3E8RepyqX9eQ2qPUoBpUANUUDBuUor6jvhnPESp2Mmw9omGDsf5xhKWILcN1ewfoo3rNyW4FxSNpJu70ZksDdcp85B+NwQTN5xFhc3L8ZMD39MnTgOPsMmYs3V90h7dAhRI3zhMWUPHmaXB15axbScvwFnKYkOBSnxuHv5OLYuDoZH/w7oPHgSYs88x9sbZeeci5F6dS38rIeXmnO2cQ3FhstvkCvnK0bqxRVwsRyF2Ttv4tFpWs7DMWvHbSRqcE4+i0hrW/jNO4InyW9LwbkQGbizxg89bUOx9dQOzOjXB07zjuFlan6V1qy6mFJAKaAUMKcCCs7mVPOb5/o+OKMoFU+OLMe4Qc6YuvcxsgtLoCvJx8f7h7F4tBecA/fiSV4Rsl6eQUzgYDRr3B79vcZjxeU3eH9jJxb49kCbVgPgPDoO15ILUfj+KtZP88Yg11DsuJ2MwhIddMX5yE79iA8fUpGVX/hdcC4pyEHax2R8TMtGASOhdflIOLsCAbbeCFp+GncvbcZYez+MXfQ3nmYWobgoHQ92TYdjN6fScB44CosOP0BKISPIM/Bk7yw4DZ+HLVdf4e0Fzjk7YPSKU3iWViDR4VmPdmKC9Wgs3HMXSXmJZeCsQ86dOLj27AVry75o0dgFC5RL+5stUR2gFFAKVG8FFJyrtH6+E84oQuari9gw1RvWLuHYcPoWHt8+g+2R4+HtOAaLT74C7UJd1kucWTUBPf9oC1v/GFz5WIC81xewOsgadVoNwbjVV5FMz3BRMu7vX4xRdg7wmbUJZ+4/xcNrR7B28nD4jIrAzrsfvwPOxch6chjzxo2F7+S1OHLtIeKfXMOBpUFw8ZiOVX8/xcfnxxAxwhm2vpHYeuombl/Zg4XeVuhYy7o0nNu2w8BRi/HXpdu4eWYLItzdMXHxQTz4kK2P1rZohyaDArHy4FU8uHEC68K8YDchBiefpaDAGK1tkoQk7wl2TxiEdnV/R+0Bc5VLu0rbtLqYUkAp8G8ooOD8b6j6xXOWICfxDvZGjoFP8CG8NCYhKecDugJkJtzA3rkTYN+5C7p1s4HbyBU4cvsNMrU4J10WXl3YjFk+IxESd01ALMCOnQk//5nYdPOjMdpal/sRz85swDR/O3Tj+bo7YMSUDTj7JBHZuhLkvDiNFSGhCFlyAs9zynN9czSQjcS7h7FsjDsG8Ryde2JwwExsPPcMKVw6pctCws19WOjvDKvOXWDhEYTZ4ZPh5xiEBTtu4n2+fimVjY0LfPxc4WDdC916+iB0zUk8SclBMejipuVsD09/fzjYWqFnZyv4z9yE84xYl3XLKbi2chxcguNwLj7NkCGsAG8PTUMfQj/qGF4ol3Y5DUrtUgooBWqSAgrONam2anxZCdZRsCkVEGZ6UxqcywSEmR5S3t+6PCT+HYVBvfyx+LiK0i5PIrVPKaAUqFkKKDjXrPqq4aU1N5x1KM5JxuuHR7HIxwaDpu3A7cRsfMHur+HaqeIrBZQCv5ICCs6/Um3/8HtNx/3tszF66grsv5sk8+ali1SCjNtbEeQ7CzHHniDlm+uUi5F2LRb+zjawGrMER+4nIVfWTpc+q3qnFFAKKAVqmgIKzjWtxlR5lQJKAaWAUuCnV0DB+aevYnWDSgGlgFJAKVDTFFBwrmk1psqrFFAKKAWUAj+9AgrOP30VqxtUCigFlAJKgZqmgIJzTasxVV6lgFJAKaAU+OkVUHA2YxXn5ubi+rXr6lUNNcjL0x4gYsYKV6dSCigFlAL/kgIKzmYU9uGDB2hQpy7sbGzUqxppUL92HTx7+tSMNa1OpRRQCigF/l0FFJzNqC/h3M+ijxnPqE5lDgV6d++h4GwOIdU5lAJKgSpTQMHZjFIrOJtRTDOeSsHZjGKqUykFlAJVooCCsxllVnA2o5hmPJWCsxnFVKdSCigFqkQBBWczyqzgbEYxzXgqBWcziqlOpRRQClSJAgrOZpRZwdmMYprxVArOZhRTnUopoBSoEgUUnM0os4KzGcU046kUnM0opjqVUkApUCUKKDibUWYFZzOKacZTKTibUUx1KqWAUqBKFFBwNqPMFYNzCfKz0pH04j2ydWYsjDqVUQEFZ6MU6g+lgFKghiig4GzGiqoYnPPx4tY5LA9dhqfFZiyMOpVRAQVnoxTqD6WAUqCGKKDgbMaKqiicz57ZhUHDnBSczVgXpqdScDZVQ/2tFFAK1AQFFJzNWEvfD2cdUpKTcPDAARw8sAfz5oagW28LrNnH9wdw+epVFJixXL/6qRScf/UWoO5fKVDzFFBwNmOdfT+cS3Dp4mn89n//Kffl4uaGbDOWq0afSpeFN1fP4sT+fdi/z/R1GBceJyKroOSbt6fg/E2J1AFKAaVANVNAwdmMFfL9cAaePnmCUQEjMCpgOByGDESz5i3h7s/3I7By+QozlqqGn6rkPRa6WaPF/8oOZGqju/cMPHyd9M0bVHD+pkTqAKWAUqCaKaDgbMYK+Sdw/nTZfKg5509qlPfXsqVLMWbkqHJfL1++LO8jpfYpOJeSQ71RCigFaoACCs5mrKSKwbkQZ88cgN0wJyR+20NrxtL+OqdScP516lrdqVLgZ1FAwdmMNVkxOANPHj9GzMqVZiyJOpWpAgrOpmqov5UCSoGaoICCsxlrqaJwNmMR1KnKUUDBuRxR1C6lgFKgWiug4GzG6lFwNqOYZjyVgrMZxVSnUgooBapEAQVnM8qs4GxGMc14KgVnM4qpTqUUUApUiQIKzmaUWcHZjGKa8VQKzmYUU51KKaAUqBIFFJzNKLOCsxnFNOOpFJzNKKY6lVJAKVAlCig4m1Hm74WzTqdDdlYWHty/j0OHDiFubay8Nm/ahLNnzuDdu3coLlZPwWDVFBQUID4+HqdOnsTmjZuMWh0+fBhPnjxBfn7+N2tQwfmbEqkDlAJKgWqmgIKzGSvke+BM6L558wZxsbEYNWIkvL284OLkZHx5unsgdNo0HDt2DBkZGWYsXc07VUpKCg7s34/gwCD4eHvDzcVFdBpmbw8XZ2eMHTMGu3ftQmJi4lcHMwrONa/uVYmVAr+6AgrOZmwB34IzwfzixQvMDg/HYBsbhEydikMHD+Lu3bvyunTxImJWrYKnuztsra2xYf16ZGf/mlm2CeZVK1fC2dERw339sGH9Bly7elV0unH9OnZs345xY8bCYag9oubOxdu3b1FSUn4WFwVnMzZydSqlgFKgShRQcDajzN+Cc3JyMhYvWgTrgQOxLi4OfF92oxv39q1bGD9uHKytBuL4sWNftQrLfv5neM9BzLZt2zDQ0hKRERF4/PgxCgsLP7u1169fIyYmBj27d8fqmJgvehoUnD+TTu1QCigFqrkCCs5mrKCvwZlwOXf2LKwHDhJAf80i5pz0/Xv3MNzXF6NHjpQ5aDMWs9qf6vWrV+LCDpo4UTwN1ONLG3UMmzZdPBF3bt8u13pWcP6Semq/UkApUF0VUHA2Y818Dc6pqakC5f4WffDs2bNvXjU3Nxe7du6Ew5ChOH78+DeP/5kO2LN7N+yHDJH7Ls9iLnuvjx4+RK9u3bF1yxbk5OSU/TcUnD+TRO1QCigFqrkCCs5mrKCvwZlzopOCJ2Hi+PEoKiqSq9Ii5Nzq+XPncP78ecSXecISreeRASME6mYsZrU/1dTJkzFu7Fg8f/68VFk5X69pxcGOZlEzYtvPxxezZs7Ehw8fSn2GbxScP5NE7VAKKAWquQIKzmasoK/B+dWrV5gUHCxBTrwkwcIo45UrVmCwtY24cXfv3l2qNG9ev5agMQY+/Uqbh6sbwqZPx/v370vdNoPAGNlOvRg4RxBrgF4wfz6CAgORkJBQ6jN8o+D8mSRqh1JAKVDNFVBwNmMFfQvOEydMkMhiDczRS5agQ9t2+O3//oMuHTvJsiDT4tBSnDJpkiytMt3/s/89wt8fU6dMkSVnpvdKOHdsp9erY7v2WL5smRHQ00JCwFdiGaDz8wrOpiqqv5UCSoGaoICCsxlr6WtwppU8c8YMeHl44OmTJzAFc7NGjTF18hS8fPHCWBoC/Py583Aa5oitW7ca9/8KfzCi3dPDA7du3TJaxrxvurknBQWhScNGMqDRAP3o0SPY2doiekk00tLSPpNIwfkzSdQOpYBSoJoroOBsxgr6GpwZqLR923a0bdUa48eOQ4e2bQUwBPPkSZPw9MnTUiXhXPTihYswyMoKt27eKvW/n/3N5cuXBbYbN2xAVmZmqdvlsqqgiYFo0qChAdDtMHrkKHTp1FkSt3ApWtlNwbmsIuq9UkApUN0VUHA2Yw19Dc5cu3vxwgW0bN4c9WvXMYJ5yqTJePq0NJi5PGj/vv0YNtQecyMjkZWVZcZSVv9T8X7pSeD88smTJ5GXl1eq0AR0cOAnQNf9sxa6dumCu3fuqKVUpZRSb5QCSoGaqoCCsxlr7ktw1uaYGbTUtFFjAXPt3/+QtbmXL102loBW3/NnzxAXGydg4hpn5o/+FbdbN2/C19sHnm7u2L5tm2QA06LcqcfZM2fRv29f/Pm/30TP5k2aYsnixfhoEiSm6aYsZ00J9VspoBSoKQooOJuxpsqDM8GclJgoy6Hat9G7shvUrYe+vS1g2b8/AidMwOxZs+TFCGUuCWI08qwZM3Hjxo1fLjuYVh30NNC9zWVVQwYPlmQsM8PCjFqNGzMGFr16oU+v3kZPBIPrlkZH4+PHj6XmqhWcNVXVb6WAUqCmKKDgbMaaKgtnAXNSEhYtXIT2bdqIhUfLmUt++FQlLqPi/OnoESPlReDMCA0TS5FPpvrVNwKaT6RijnFCesyoUfKwED4whO9j167F0aNHMXH8BDQ2zEFzLj+6DKAVnH/1lqTuXylQ8xRQcDZjnZnC+ROYF6JdawOYGzaSuVRmCOP/mQWMT6jie75evnwp+bYJJbV9UoDufq55ZrS2phXfa9nDOGc/KSjYCGh6KBgNr1nQCs6ftFR/KQWUAjVDAQVnM9aTBuevgfn5s9JZr8x4+V/6VEZA128gHgpTQDO157MyQXe/tFjq5pUCSoFqr4CCsxmriHDmXHJSUhIWLlhQ2mKeMuWzdJRmvLQ6FYBnT5/pLWgjoNtIkFibFi0VnFULUQooBWqUAgrOZqwuwpkubD2YW4sFx4QZIVOm4sXzTwlGzHhJdaoyCtDtPTl4EhoZAM36YGT8w4cPSwWJlfmYeqsUUAooBaqVAgrOZqoOurK5zrb2H39KohGm5DSC2STzl5kup07zFQU4dWAKaNbF/Kh5Mp/PelKbUkApoBSo7gooOJuhhtjh8yEMkXMixFoWMDdoKA+tYH5stVW9AgweE0DXqy910q51a1nOxsxrCtBVXx/qikoBpcA/U0DB+Z/p9dnRGpjnz5uHtq1aGeHMLGBDB9shaMJE9fpBGtjZDka9WrWNdcLUqYsWLpTHdCpAf9aU1Q6lgFKgGimg4FyJymAHz+U6BHOblnowc70t190yq5V6VQ8NmMu8ocGCVoCuRINXH1UKKAWqTAEF5wpKrYF5XlRUKTBPmxoiiTMqeFr1sX9BgZcvXoI5zBvWrSdWND0cDNpLTU1VLu5/QW91SqWAUqDyCig4V0DDUmBu0VI6/Mb1G2B6yDQF5groWRUfYYIXU0DT06EAXRXKq2soBZQCFVFAwfkfqkYwJycnI2ruXLQuA+ZXr179w7Opw6tSgfiX8ZKhjbnNGbRHQPNhJMqCrspaUNdSCigFvkcBBefvUclwTGkwt5AOnutpaTErMP8DIX/goczVzcdRNqhT1wDolpg/fz7S0tKUi/sH1ou6tFJAKVBaAQXn0np88Z0GZj5fuVVzA5jr1cf0adPx+vXrL35O/aP6KcCBlCmg6QFhUJ8CdPWrK1UipcCvqoCC83fUPMHM9bFlwRyqwPwd6lXPQwhoZm6rb7CgW7dogXlR85Cenq4s6OpZZapUSoFfSgEF529UtwbmyIgItGrWXFyhXJZDMPOJUmqruQrQ4yGArl1H6pUeEUbfK0DX3DpVJVcK/CwKKDh/pSYJZgYLEcwtNTDXrYfQ6aF4++btVz6p/lVTFHjz+s1ngGawX4ayoGtKFapyKgV+SgUUnL9QrRqYI+bMQctmzcSyYpRvGMH8VoH5C7LVyN30gHB9upZNjB4SAXRGhnJx18gaVYVWCtR8BRScy6lDgjktNRVzZs9Gi6YGMNepK2BOeJtQzifUrpquAAdcpoCmp4QxBhkZGTX91lT5lQJKgRqogIJzmUoTMKelfQ7m0DAkJCgwl5Hrp3orgA4JQV1DPu6WTZshMjISmZmZP9V9qptRCigFqr8CCs4mdaSBeXZ4OFo0aSqubEbzzggNw7t370yOVH/+rApwAMZ163X/rCX1T88JYw6yFKB/1ipX96UUqJYKfBecI+fMgaODg7ycHBzA18MHD6rlDVW0UAQzo3QJ5uYamGvXETC/f/e+oqdVn6uBCrxLeCeArqMBuklTMPYgKyurBt7N14t85/ZtODkMK/VaMG/e1z+k/qsUUAr86wp8E84Ec7NGjcWKYMpD7XXp4sV/vXBVeQGCOXzWLDRv3ETusR7BHDYD798rMFdlPVSXa9FTQgu6zh9/SnvggI2Azv7JAH3m9Gnjd1r7bnt7eFaXalDlUAr8sgp8E85uLi6ffXn5Je5n0eensZ6Liopw6OBBNNPAXKs2ZobNQGJi4i/bMNSNQwZmzABX2wjoJjh29ChKSkp+CnloNfft1fuz7zcHqPPmRv0U96huQilQUxWoMJwJ6CuXL1f4vkeNGIEhtrbV4mVnY4OunTpLJ8XlNArMFa7Wn+6Die8TJeFM7d//kPbRrXMX2Nmw3Q6uFq/xY8dWWPOzZ858BmbNevb18q7wedUHlQJKgcor8MPgzE5uUvAUzJkz98e/Zs9FcJD+eb/79+1HUlJS5ZVVZ/hpFKAHZd9ff0mQ2ORJIT++vRq+M4ETg9GnZ68K66zgXGHp1AeVAv+6Aj8UztFLV2DL1p3V4hUTEyvzzXl5ef+66OoCNU8BtouGdeshNnZDtWiv/N4sXBSt4FzzmpIqsVLguxRQcDYMDtasXS/Lp75LNXXQL6kA4bxu/WYF51+y9tVNKwWqVgEFZwXnqm1xNfhqCs41uPJU0ZUCNUwBBWcF5xrWZH9ccRWcf5z26spKgV9NAQVnBedfrc1X+H4VnCssnfqgUkAp8A8VUHBWcP6HTebXPVzB+dete3XnSoGqVkDBWcG5qttcjb2egnONrTpVcKVAjVNAwVnBucY12h9VYAXnH6W8uq5S4NdTQMFZwfnXa/UVvGMF5woKpz6mFFAK/GMFFJwVnP9xo/lVP6Dg/KvWvLpvpUDVK6DgrOBc9a2uhl5Rwbm6VlwGHuyKxGinqVh16DFSdf92OTNxb/N0RO65gjfxZxHtOgT9OnZEl1KvTujScRjmH3+O9Pzq+aCUkuJcJD64hkfJhSjJT8fjndNhOXA+zqYUm0/AwjS8OLUWwY7jEHMtxXzn/QXOpOCs4PwLNHPz3KKCs3l0NP9ZUnFrXRAcuvsicsddJP/bLMy9g1in0Viy9w6S3pzAzN4WcJqxHZfvv8Cb169NXu+RmlOIkn99sFABRYvzkXpxKQZ29UTs/WyU5KXgbmwAmrWYgiMfiipwwi98pCAZjw8ugGc3J0Sd+/CFg9Tu8hRQcFZwLq9dqH3lKKDgXI4o1WJXVcJZh5w7cXD1XIy9d98j9+MpzOzdF56LTuFVemG1UOO7ClGUh48n56BdQzusuKPg/F2aVfFBCs4KzlXc5Gru5RScq2vdlYFz+l1smzQB45xcYDugLzq2tkfYhot4nZmG15e2YaaTDXq1boN2Hd0wZdEB3EnMQIGuGOnX1yHAfSKmRc7ASDtL9OAx1hOw4u9HSMnTXL15eLYjEH7RB3A3MQe65O+Dc0nKY5zZFAqbHl3QnucdMg2x518iu/BrZn4hko6Ho79rDK4lv8TRKTboHbQfbwtLoDfGs/Di3FpM6NIG7XjOLuMRc+4FsgHodPl4f+sAlo/pr/9f63bo1NEbC/bexcfCfKRdXISeTerjz//+iSbte2BozDncjPVDg/p2mBo1BfY8X/tu6DdiJc6+4Rm5FSM//QlOrpiMIfx/m+7obxeO7eefGqcSSvIz8OriFszytkC71l0xwNIHk4KHw1qznHUFyPpwD0eWhcCzI8vdA9b2odh8/gXSeVO6bLy9uhMLx43Dgv2XcHn3EgT7hWLL7VTDPRuK8gv8qtFwnjd/EZydXOA4zBnBwVOxecuOCj+UQD344hdo7ZW8xcrCedPm7QgOngJHR2e4uLhh/oLFFW6v6qlUppVZBs5pN7DWzw6d2noifMsZXL18G0/fvsbDo4vgZ+eJEVG7cfnxCzy+tAMRLoPhPGkdLsSn4uPFZXCw6ILuHuHYdvYBXj0/jzUjB6On3Rzsu58EeV6d7g2OTPJG6MZzekv5e+Cc+xBbR1qht+d87L/+DG/fP8eV2EBYtHfDglOvkPMFQJckHcOULj3gsfYqnh4IQZf6Q7Hw8kcUCM8LkXg4BJ0bd4VP3HW8T3yG84u90bqxJSIuJKPwySa4NO+NgFXn8SLxPd69vo59013RtsVgzL+cgpKcj3i0eypa1x+EqFPx+JCSiDuxnvijVlP0HL8Z15+/xvPrezHLpT/6jN2PNyUlyE97giNz3NCtbxBWnb6PN/H3cDJuOrz62CFo12PkluQg6e5ezHGyhROd1vMAACAASURBVP/8v3Dj6TPcORKDCYPboaXA+R2y3l7F5hAPWDlFYs+tl0h4cQvHVk2Fu7U3Io68QD5KkP/xPg7OD4aHayR2nzqKtZNHwW38FtxO1wZIpnX/8/5dY+FMMDdu0BC1f/9DXnVr1UZQ0JQKd3YKzj9vIzfXnVUGzgTzqFFjUa9WbWObbda4CaKjK/7YVPXISK1my4PzMNj6LcbRR6koKi5GSc5D7BzvCuexy3DsUQqKSnQoKc7C8/2zYG81EUsOP8Dzs0vh0NsRE9eeR3xmEXS6XLz4KwRWXYZjweHHSCnUQZdwFFNtw7D+9AukF+kAgXMntKjbCC2aNkfr5i0Mry7wjbuKpKwCZF9fjkFtHTH70BOkSnCYDsU5dxHn2BmdJ+/Dy8yCz63Cknc4Prk/2rqvwe23l7FyaEf0CT2Kd/nF+mNLnmHL0Gb4o080buYQWjoU5Wbg44cUZBWUQFeUi7QPKcjILTIcn4+0K0swoHYHjD6YAJTr1h6Oxk29EHcvA8U6HYqyEnBxqS9ad56Jkx+ykHxvByZ17QWfjfeRU1QCna4I2e/vYNd0Z/QcuhrXk97gyrpJ6GcRhF1Ps1CsK0FB8mMcXeiFtoTzqad4cSoG4/oPRfCep8gr1gG6QqQ/P4OYiR6wC9iGB7k6oCQX727sRLiPEzxmbMbB7fMwfLALAjfe0lvXWrX/5L9rLJw9Pbzwx/9+w2//9x/jy27wkApbzwrOP3lLN8PtVQbOGzZuRdfOXY1tle329//8F/Xr1EXDevUr9OJn//zfb2jRtFmFXhzcmn5/TP+u88efFTpnRcvyrc9tWLfuKzVYHpxd4BEUiwuv9C7ZkvjDmOzoghELDuFRijY3XILs2xvgY+WNkPUXcPd4NBx6+yN81x0k5dPHWozkswth2y0AUQceIbkgHwlHZmBIyEaceZkGCZsSOPeB65y/cPvFeyQnJxteBCODwfLxas94dGraAPUbNEbzJs3QsilfjdHwj9/wh1Mc7qXloaxzu/jeavRp3BpOcbcQvz8YLer4Yt2jDHA8IFvRTSxq8Rt+d92Jd+Uqo4OuKBG3Dh/EoQP78VdcKAY3rIe6tdtj5P4vwTkATVtMwuEkfUBYcU4Srq0KQKv203Hs7Uc8PzALPdu5YfWdLOMVizPf4vKa8ejeIxg7rl/D9in26O2wHvcLDQXN/4iH+6Lg2s0Jc4/ewa1t09D7tz9Qr34Tgw7N0KJxQzSs1Q6WjitxJU0/0ChOfoj98wPQ02Y0onfvx+ogF/R3n4u/X+cbr/2z/1Fj4ezj4/cZnG2sbRWcf/YW+wPvr7Jw7tShYykY0uszduwErFm7rkKvOXPmole37khLTa3Q69DBg6XKYwpnd1dXpKamVptXXp44lb9Q++XB2RWewXG4+DpHPlP88iACHVwxatERPEnVopGLkXZ5JVz6uWLSuvO4c3wJHHoHYPbuu0Y4p5xbBNvuGpzTcStmNCbGncDTZAMkvunWzkf8rrHo2HYs1l58hnfJZTTNyhcr9bMbK3yOHf5d0TpgO54lnEFkv/awWXQJaUUGjBfdwMJm/8Pv7rvw/rMP61D07gRmDW6L5tbTsW73buzdfRQXDs3DgG/A2TRauxSc33zEs7/C0LWdB9bd12sq1nr6K5xZMhztuwdi65Ur2Bo8BL2HbcYjzQNtEq1NON/cOhP2vbyx7OyrMm0rHZlZeYbBRwE+PjiAeQHD4BAciwN7lmDU4KHwX3EBH4yjk89u+qfbUWPhPH/+YtT67fdSncvMWXOUW/una6LV54YqA2e6tUeOHGNsr7SaW7dshVWr1la4zSq3ttY2vg1nZN/FpgAnuAStxfn4LIMbuRDvTkTBof8YzN93F0/P0K39FTin3cIaxzFYuucOknINkPwmnEuQeXE+LFr1xfjt95BqDCzTyv6l3yXIf7kTAa16YvSO23i0dTRa1nPHuodZ+qVZJY8QO6A+frdci6dlzG6dLgeP49zQoPFkHHqXjYLCQhTkZSHh0GQ0rSCcjydm4sOtjRjdvjdG/xVvsPR1yE95gkNz3NDVKhoXE+JxftU49LSYhsNvC/Q3lpuIuztnYjDd2icf4+mxJfDq3B/e6+8it9xb16Eo/TlOLp8ODwaKnTiBTTPGYJjfKlxIyv/c/V/uOX6OnTUWzgz+mjt3ATzcPfHHf/+H0LBZYAfIQJmKvJRb++do0P/mXVQGzmyTGzZswZTJIXCwHwZPT28sXry0wp4eFRBmWtPfAWddFp7unQXHAW4Ys+IknqVlI+35USx2tYJ1wDL8/fQjPlxY9hU4P8Drq2vh7BONvXcTwalR2b4JZ0CXeQOrnLui5YAp2HXvA/KKC/Dx7hZM7tUVw5ZfQnKuZsmb3hOnkXMQv2M82lgvwcV397HNtzNajdiN15xTRh5ebRuBhr91xMh9b1CCAiSeiYRtg9YYtvEBPhydhEa/2yL83HuU6AqR+mAnpvZrhFoanEsKkPlgAzwa9Mec8ynlrnM2tZyPfyhAbvI97Aq2QZs+07DtwUcU5Cbh9p7Z8OzSB76xt5FVlIWEaxsxYUBvDJ1zDK8zMpBwZQsmD2mHFoTz2QSkvzyLmICB6GQ1BZvvpaAkPw0vz61DkJcrPCNP4X1JFl5f3IRwL09M2/Q3Tm+OQID9GKy48P6TS7+MTD/r2xoLZ3ZOBPTGTdvw5/9+B+f0KgJl7TMKzj9rEzfffVUWzmxrHECyrbLdVmZ1Ac+lLGetbr8DztChpPADHh6LwfgB3dG6Tl00aGSNkWGbceHlR+SUFCGV0dpftJxv4uLGiQhYflC/hEq79HfAGQyMensVW8Nd0bZ5YzSoWw8NGjsjdOVRPEzPA+OivrTpivKRk1sowVVF+bnIyS8yzk/rij7izoF58GxcF2ybDWoNRHDMGcTnl6Ak7yVOznFFk1p10bB+QzSznopVcWFwblgXHWadRxZKUJj5ELvG9EHtBi3RcfQWHC+ThKQUnD8WAVwGlXQTe2b7o3dtxkq0RKdegVh9+BYSJIRcJ5nG3l7ehhk+Fqhfpzm6dB6GUaM9YCnR2h+gK8lFystzWD/JHd15jrpN0KmnE8I2nsIDsYwZqEdLPw8FRcUoLipAfl4+Cr8m0pfEq+H7azScNbD++dvv0tlp7yvyW8G5hrfkKii+OeBckbb5pc8oOGuVrkNJUSHy8wpQWMwo4hIUFRSgoLCoTHYuHXTFRSjIz0Nebi5yc/NRUFiMEp2ejrqSIuTnG85hOLXsM5y3pKhAgFEq45euGIX5+bLfcBqtUKV/60pQXFhguK7+2oVFhsjr0kf+g3eG+5F70c6prYHmYKQAudr/8gtRVFSIgtxc5BnXSZeguCBfjskrKBIQ5uVxIKAVgboWoNS+MveRl1eAImqufYQGf0kxCgvy9OfNy0dBgQGwBuGkfky0yCN8Jfrb5CTqTyg4qyQk6mvwnQooOH+nUOowpYBSoNIKKDgrOFe6Ef0qJ1Bw/lVqWt2nUuDHK6DgrOD841thDSmBgnMNqShVTKXAT6CAgrOC80/QjKvmFhScq0ZndRWlgFIAas5ZC7ZRAWHq6/AtBRScv6WQ+r9SQClgLgUqZTlfvnS5wuXo1rkLopdWPK+wBlX+VtHaFa4G9cF/oEC1g/PCaPTp2esf3EHpQ8+eOWNMimKaHYx/+3p5lz5YvVMKKAWqVIFKwXnN6tW4d+8esrOzUVLCJQymAfVfvw9zwZlrRWWd84YtWLp0JeZERGHChCCMHx8oL/6tvbhv8uQQLFiwBHHrNsk6U22taVVaztSJeuXn5+Pdu3e4fu0adu/ahT27dxtffK/t+/v4cbx8+RIZGRn/WOev18L3/9e0zAkJCbh06RL279snZdTKqZWf78+cOYOnT58iMzPzh5e5uLgYL168kDLv++sv0dhUX63cZ8+exYMHD2TpR3ntuargLOv3N27FkiXLET478rN2rLVvH28/dOvcGc+ePZNUiOWV+Ws1rOD8NXXU/5QCP1aBSsF5zOjRGDliBPh0nQH9+mHjxo0CEUKHHcXXtkrBecsOSebA1IeELTOE8QEAXTt3wWBbOwz39Zf3TRo2wsSJwfJiDmM+YKDWb3+gZbMWkvqze9duklKRUI9ZHYvmTZp+rciV+h/hRkgwX/HBgwcRFBiIbl26oHPHjujVvQdGjRiBv/buxd49e7Bk8WIMHDAArs7O2LJ5M5YvWwYvDw+0adkKQ2wHi84PHz6U8+m+oXNlCq2VOTExUco8ZtQotGnZEna2tgifNQsuTs7o1L49pkyahF07dwr05kdFoZ9FH9jZ2ID5mdu2aoUhgwcjNjYWz58/F/DxvP/Wpg0iUlJSQNhOnDABjerVR4smTTFt6lTs2L5dyuru4oLuXbogZtUq0Zyw9vfzQ6d27cGHPnh5emLtmjUCvsLCQhl4/ptwZnKS1avjEBISiqFD7NGyeQt06dRZ2nTTRo3h6+tvbMcODo5g27bqb4lmjRqD38POHTpikJUVli9bDmPb+IbOCs7/VitU51UKVF6BSsGZIHFxdEKfXr2k09uwfgNsra3h7uaGvXv3Ii0tTQ+QcjqJisBZLIpN27BgwWK4OLsKlOv+WUtcc7FxG8QSjl6yHLV//1NAprm+163fLFl5eCyz83A/zzVn9lzUr11XBhd8KAEHGbROCVFzbRykMGn//fv3MXPGDPTr0weh06fj9OnT2LZ1Kwb07YfVq2LkcjyWUwXWVgMxPSREFvETNnfv3IGnuzvcXVxx6tQpxMXGwmHoUDgNG4aDBw4I8Flmc0GP5WDyAnpFWNaunTqhd4+eWLt6jVyL4AudNh09u3XHzu3bjZYm28PAAZZYumSJ1D3Lc/nSJQwbOhQ2gwYJQHy8vHHs2DHwHOYuMyF64/p1REREwMrSErNmzkLXjp3Aer944QKKiorAY+ysbeR+aHHyXrl/bkSEDDy04+7evYtxY8aieZMmcHZ0wokTJ+Rxj7FxGyuViU5rk1obZLYw5okfMsQe9WrXgauLG8LDI7Bk8TLYWttKO2aaTx7PNh4wfIQMLglxJiHhAOPE33+jSYOGGDLYTtrGMHt7eHt64sD+/cjKykKJJOb4fECk4Gyub7k6j1LA/ApUCs60MNgpnD9/XjpadnLz5kahdYuW6Nu7twBk86ZNePv2rbhwTTvj74WzBmS6nWfMCEfP7j3FmrCzHYJav/+BIXZD5dF7GzfRDbhMrB5amFonSDCzc+ZzdBcZOjn+b/WadbKfVtXChUsQNiNcYE8LhPCjtcjMNqZl/h75NcuNWnBwQhCNGO4PWj+Tg4Lx8eNHAR9dqbR6giZOlNMSEmfPnEX7Nm2lYyW8uO/WzZsYZu8gFvPNGzcEwK9evcLUyVNEZz6VyLJff2zatAmvX72qVJkJrvT0dAFRgL8/BlpaonOHDmjbqrUMvnhvfCRecGCQWKOc1tA0okVKgM8IDcP7d++k7NeuXYO93RDQSuUAg6A4dPAQBllaoa+FBWLXrkV8fLwMXiqjc0Z6Os6cPgM3Z2dpc3S3v3//Hlb9B6B+7Tr4+9hxKSc9On17W8g+Hs/75YtlbtqwkXgpeAzLQrA1qt8AfXr1lgHRuLFjxdsy3C8Ay5atBNsbrV22T62tfc9vrT1zWiUkZDqsLAeCzyJv1qiJtEOeI2Z1HKwGWIp1HDp9hh7MsRvg7xcgaRq9PL1lH9stvUb8Dvp66+eI2WY4TdKgTl2pI37Ptmzegjdv3hjrShvEKTh/zzdaHaMU+DEKVArOjes3wLGjx+RLz05u4fwF0pGvWrFCLNBHjx4JfJo2agS6RHfv3i0ut4z0DLFoFi2KljzDtB74UID1G7YY369bvwnLl8eAnROtiVYtWoHPa54+fQYmTggSsA61G4pNzK392+8yj0wIt23dxthZrlu3yQhmzfrgNVaviTOCefHiZXI8XeR8UlCThg0xZtRo9O/XT9yFdNdyHjInJ0cgws5bexFM2is/L0/gwznkc+fOYWl0tLh/u3TqJJqsWLZcapjnIZibN27yCczF5YP55s2bcCwL5vh4hEyZIo8K3Lljh1h9d+/clTJ3aNtW3OOE0+PHjwW0tNqNZSxTdt4HLWQOnmiRR0ZEYKidHUaPGoXVMavh5uwiA4CtW7bKoIADi0lBQWC9L4teKrEGHIQQzBY9e2Hq5Ml4/fq1HsxXr8JhyFA4OQwD74NASHz/Hn7ePujcvgMI9nnz5omFO3LESGkbT548MZa5rMbae94PNSRs6H2YP2+eWLwcQOzfv1/uh8dwAEBAHTeAmffZz8JC9p05dVqgTF0IZg6SOH3AOiSYqR+Bx+kGzpmz7HTJ169TR+DIQamTozOCgiZj0cJosJ2x/Uo7NrRl4998v3GrxDgsW7YKs8Ij4OHhJU+k6t2ztwwAWjRtjpUr10g75PTKJzDPlH2x5YCZ55wWEirteLiPr7QtDcx0v/P+Xzx/gWdPnyIsNBTNxAPgKDECvBdqyEFL2UAw7b0KCPsxHbK6qlJAU6BScKZLVev4Ceb2rduAYKb1xU7u2NGj6NKxo1iO7CRXLF8Oh6H2YrmwExhoORBD7OzB5zBb9LZAvz79YGszWKxhWrp08zWs10A6whUrVkv+7KDASWIFE8zawwMYEMYOs13rtkZLJm7dxs/AzE6us8HN2aheAyxeogczn6drNcBKLA26CLnxHtip1f7jT3Ed8mHwnAMmuDzc3DDC3x9Tp0xByNSpMq/J/7Vp0RKd2ncQyBFYYdND0a51G8SsXCXnLA3mQNlHnWgxd2jbrpTFfPPGTTg6DCtlMdPKFDB374Gd23cINFhOgp/eivCZs8StG71kCWwHWQtI7GwHSzknT5qEgOHDxT3OOUqWfURAgFjG9B7QJbph/XoJUKNL18fTS1yqW7dsket8+PABk4KCBVrLoqNLgZnWpQZm3s/VK1cwbKg9nIY5gvdBuNGa9vPxQZcOHXH61Cm5dwI3aMJEtGzWTOZ76aanh2GwjY1EC9NaZTn5Ypl9vLxE+/Zt2oibfOyYMeDfdO0+fvRIzpmbkyvTAryn4xw45hcIiLp36SpgPm0AM69NMHMummAm0DnQYMAYrWh6ATjFwbLT/c3j2GbpbqY3JjR0JjgVwrlfWr6W/S0l3mFAvwHo3as3BloNknbMAaXlACv8/p//ybQJ54unTQvD3LnzJcahZbMyYO5vKdfn+WlFfwJzfWgWMwcC06eFgc+D1qK1y4L59avX8h08d/asxF/Qu/LXX3/Jd5B1zYFGhzZtFZyl1agfSoHqp0Cl4Hzl8mWxIglmftE1MLOTO3rkCLp26ozRI0aKi5idHCNme/foIR0fYRoWOkse+0gwsTOdPCkECxdGY968hbCztUODOvXESt5oeIpP4MRgAbv9EHuxRugi5PEMBqM7WHtkJDs0cWXXriOP5WMnt9YAZnawdFdqYKZ7e6CllcCdHTC3rMxMrI6JkXO4OrvIPlpetKI5YOjT20IAxGjkM6dPC4gIiOPHj0tn/vHDByycP18GK5+BuUlTBE00BfMZATNhqM3DEmi0OIcOHgy6stnxxr98iZApU8WaKwtmDgpYB9zowVgft070HD1yJAhaejBmzZgpLlBaWdeuXpV962Lj0L9PX4wKGIGnT57Ideh+ZlnatmyFrZsNYE5KEpc8QUSPAKPzeZ0d27aLm1jA/OqVwIBgdrS3h7OAWe+GpzeB1+X8Ly10boQhYc/rUFe+50Bv+dJlAvDpU0NAtzg9AJs2bkSPrt3g6uQkUeAc5NC1bzNwoMx78/64sVw2AweJZc+BIQHMeuvZtZu4pE+eOCnlzsvNEzC3bNrsMzDTiuZgg4Me6k5deBxf9KwQzPS+DLYZLIPEyZOmyoCQKwC8PH1k5YDNQGssWrxM2ibbNAd4nTp0EtiyLdJLw+DDUmCOiZUAr6YNGwv4tTYrrux69eFtcGUTzIQ73fUckBHOpmC2trQCwcx9F86flzIPGmCJN6/fyD7GEbg6OWNA376YERqq4CwtR/1QClQ/BSoFZ4KJUOjYrj1WGixmDcyc6xo9chQS3ydKp0BXmkWPntLxvX3zFvw/IcwIa7oQ+WxmwnX9+s1wGOogkdUTJwQKhGkhE8x0U5qCmR0iOykCl8dolgatbgZ6aa7stbHrxWJmJ8lBAOemeWxMTCx69+glsA6cECSuZroxNTDTrcuNnTytPV6f85i0IgWY8fHw9vAUQLAj5ACE/ysLZkKDrmzCXwMzdeKcX8e27QSGn8B844tg7m1iMXM+mxYz59eNYC4oxMb1G9C4QUNMHDceH5I+CIwYidylYycBsebt2Lt7j9TFyIAAARAt3jsEs5cX2rVqLdDi/SQRzMHBYs0tXaIHMyFKMDMq2xTMHKw5OjgImG9c14OZy66G+/rJQO3UyZOiJ4FJMPM6O3fowUyNVy5fgW6dOot+dKFTo5MnTsh1CHcuJ2OZ6EGwHTRIBiqPHj6Uc1JjRojT6j16RA9mQnxkwAiB9Uj/AHz88BE52dmiDeG4ZdMmeUoQBxqMlGdAIOekqS3rlwODVs2ao3XzFmI9s/45H0wws91pYGbbGz9uoliyjg6O0rY2b94u7ZuDUHpr2N74WmkAM89rdGVrYG5UGsyc3+YKA29PH/ksBwXTQvRgtuw/QALC6HpnEBynGhhIqFnMt2/dQt9evY3eLNYvB330qDBojwM0NecsTUf9UApUSwUqBWdad4TLyuXLkZ6WJm7AgwcOypziqBEjJSiHnS7nEgkWWiScK2THRzjTEmNnShcfwcygLwFz3fqYOF4PZu7T5pj1YNbPTTPClVYsBwa0aDgHx7lkdrpiGRuCvziHx86RYB41cowRzMtXrBa3JDtPgp/X4Vzd6lWrpJMlmAkCWtGECjtjLm8ifNnRPXn8BF4enujRpatYKNz3Kj4e86PmoVXz5rJEh/fJjn73zl2G4K9AOSfhRtjTY6BZzASEHm7DYGdjKxYz9xE+BCAtc1rMvA7LQAuTlhPBzHLS8qQLmlMLdBUTzJxD5WdosQ7o01ciu3nclk2bRTfe453bt+Wz7KwZ4cu5W7p5CcaEtwliMdOa1MBM4DHAiBDjEioGoXHf+XPnYD9kiMyRE8wsO61burLpQaHVynJy8DMpMEjKyTlzloca83543IJ580DPA4PHjh87BouePWWe+uWLF2JZP3/2DDZWA6U9PXzwQNoSrVx3VzeZVjhmADP3Ecgc+NEzQM3YRjnnzXbD6xHoPI4DJ7ZDDja41I1l4nIk1iO9EvSQsOxsHwMHWMnnNTCvWbMO48ZOEK+E0zAnI0SjohZKO+KgiFBm++bUDAcArZq1EDDT88O4CrrE+V2gK5v7VqxcLcsB69WqI2DmPkaJc46ZA0+Cmefk4JSubbajwdY2AmbWGwPCTMHMfZcuXhKPFSPsTxk8CIcOHFSWc7XsllWhlAKVTN9JC232rHB8SEqSDprrXwlGBibR6iCE6Dqly5tW44vnz40WCfexs4uMnCcd19q166WDonXi6zNcLGhGtDZt1EQ6pOaNmyEubqNA2NvLR+b5OG9MKDMgbG7kfHFv8/orTIJraFXzOsPsh0mHxussW75KOiV20hwksPPjPkKeEKarkJ0xrdmwadOlA+zfp4908AQurRK60uku3btnr9wTo6ob1NUvy+KyJ36ewVEEJa/PeWruI4gIP7rduY/XIMgO7j8grnW6ZTnvzQ6VEcM8Z4umTWWumde+d/cu/H39xAPA+WetnIR0/Tp1xcolcAgYWta8Di0qnp8W66IFC+U6rCOu42UdLVnEgU5tARmtVw4AGM3MNdXiaVi0SEDG+Vy61llHY0aOAuHIwRfXD/M4rmmmBcqyMyqbFhrnkA/s2y8aUQ8uByMwt2/bpgdzVhY8XN3QqH590JXNwRvLSQ15Ts4pc+BAjTj46N65i3g4qDf14HwwBwqEHi1BHkcIc86Y12E52T4JXYKSS+kIfEZzE84c9BB4dFtzUEA9CG5arNzHgaUMslLT5L451RLgP1LaLOMaCFB+vnmTZtK+2B7d3TylzTRp0MgI5oiIKAE4B4+0mNnmmCGPbY6R2uPGTdTvi16BOn/UEs9P1076trkqJhYO9sOk3rp07CznpIeJAwS2fQ7mNE/DuTNnxYXPdr1qxUrRg4Mctle60YMDA6V+2cbYNvj9KO+lAsIUHpQCP1aBSlnOhw4elM6MnVxU5FyxmNeuXi0WNDs5woUZjCaMHWcEG+cHOXpnp6Sl72RAFq1bdrDz5i3Sd3xxG8Ggr8b1G4JBYHQdbti4RdyHhAPdh9xHi0QLCOM52OnRqmCHRquY7j7Njb0qZq3RWibYmcBky5YdMgfIQB52sgvmzRfg0eJl8g/CmmtzuRFa9+7ek0QV7BBpjbHjpmXl6eYukLh08aJ8np3/3IhICRCLXRsr+2g1cm0zXZqEHDfChBnA6AHgkitChHC7cplztw5wcnDA7du3UVJcLCCii5kw2rN7j5yTS5sIV1rMtG65cU6Va6cJJ1m+9eEjcnNyjGAe7usr665ZR/v37ZelWLwfWvO89o0bNwSOLBOtW260judFRUk52emzzjkA4FI5Wpxc90ywFhUWiieBa5tpzd6+dVs0ohVNLwHrnkFK3KjHxPETxPvy1569cj4OAHgfDOCKXrxElm4VFhRIcCHvm25qnkvTXVuW9fTJUzkn9eOggIPBE3+fkPaZkpws7nIClwMSlp2W+bSpIQJ6uthZFg40eL9cXcDpC+7jxgEUo9HZZpm1S7NkbQbZCOynTp2uB/OGLRgzepzA1cXJ5ROY50QJCHt07S77+Pmly1aieeOmaNeqjbQ/7qNlzXbI4MMZYbPkOoyJ8PX2k6kKP5/h8nnOe0+ZHCIDAC0gjPVG7wUHNEMH20ldsG1pYGZAmLbkkQMbBhvy+1EemLlPwVmqXv1QCvwwBSoFZ7ph2dHNWw6MaAAAIABJREFUjZwrVokGZnZyB/btkw52wrjxMm/JzpSuQs6R0S3HCFfCma5oWjS0KDgHTdjSQiaYCZdPYN6K8czyVbeeEczs0KLmLhCrgBYF32vzegLmBg1NwBwroGTHQ+uanRvBvHLVGlj2GyCJS9ih0xKl5bl86VIBs9ZJ6cF81whmWioaIAjmfr0tJD0k9zEymWDmkqHvATOzbJmCWR9URTAP04PZYCFODp4kINTATGgImNu0NYKZVueamBhx02pgpnubwOO903JlQhTWEZcMsS40MPMeCWYvd3e5T7rEubGOmfmL2bPKgpkBZfQuEMyEAQHASG1aw/QwUA/OEVNH1j0j07kxEjpw/AQ5J5OXEPQcQLCcDP6KXrxYD+bCQgEzBwB0TxPMrCMGallbWYEeDVq33KgHYU2L98TxvwXMXAPNqQfeO2MJeC+ELsHM+uZgh2XhQIVgpguf67u5jxsHPxa9ekk5CWeCkQGHBDNhP3XKdGl3nA8eM2qsQNjFyfVzMHczAfNSgrmJRPIzOOxzMIfL5+kyJ5j5PdDAzOswyIwegPZt2omXRw/m86XAzH0cbPG+ef+sF+6T5XkOw+S7yVgA/r+8l9buRQT1QymgFKhyBSoFZwaEcY6Vc4Vct8qOkB0Ag45oIdEqYkARO1O6uWn50KphkBDdblFRC9Ctc1exFOZF6cG8fsNmcO6O7lABsyFSOzh4ikDVcZiTuLLZoTEbGDtIdi5aQBjnjunepUtRs5hlANCpiyQt4XkFzBKcswb9+/QTdyXd3uwws7OyxBXP85omdnj86LEMIoYYXIi8J0LHy91D1s8y1zT30ZqeN3euRBzHrY2VCiUQ2PFz/lKzmKkT9ePSIg3MhCOBxrSXpmDmvC4ja/tb9DFazAQMM3bRutUsZgKGAWGEkxHM+fnYvXOnzDvTi7B44UIB8769f0l2Mg3MhOj9e/cQ4DdcyrTDAOa83FwsXrhI9jHoj/dCCG/buk0+r1nMLDu9Biy3h5s7bt26JXq8ef1a3PC0POl25sZzsHy8dw3MHCxwUMGgQQ3MxYagOc71M4aBelPjdwkJYh0yuxrbFTfqYT/YTubh/yaY8wtkHyPWOaCj9gR7ZkYmpk6abADzJGOb5fxrq+YtZAqAgzNu/M3BBxPTcEpGCwhj5i56XqZOmSZgZdsbM3qsDDiZuY4DRLZPTrVw6qSHAczcz/lkWsZcYkcwcx/jIqytBqFl0+aSaIf7mA1sRMAomerRwEyX+cwZ4QJh64HWhoCw7jLHzLarWcysC0b5c103vUGcZxcw37iBYUOGCpg3b9qsAsKkltUPpUD1VKBScOac5xBbW8moxY6MHQCDUdhJMP0kQcXOlHONHIkzspnuXm6Ec9/efdG9czfMN7iyaZXQLdi+dVsBMzsjdnwzZ4ajTavWcHN1N4KZ7kXOydENSIuGx9HSGGQ5CO3btisFZiZ1oKXO9dTR0culQ6TFzM+yw/Vw85SAMFrUdMUzwCbYsNyJ0GIwUoCvn7hlNYuZ90E3L9fkamCmK5zzyZZ9+4m7l/dJS5ZWHFNGEtrcqBMjbKkJIUVXLDtUusdDp02TwCxxZZeUSOIOriu2t7OTQQ/1JIi2b90m2beYzYwb4Ub3OIO8wmfMlMhk7jt86LBYk1xqxmA3Wqi0mOm2ZZkYDU2XOZe5MfCMy26oATeWnVHZbk7OWL9unUCVAwC6pRnoNXvWLBC+LDvXGY8bPQajAgJk+RbLyYHZrLAZsnSHaTy5Ecy0vglxTouwPPpyHhIXPqcSkg2R2hyo8H4YQMY2xHMmvH2LsaNGyzTC82fP5ZyZGRmImD1HllGdOnlKzkfLl+uYCWUJRHz9RqxhWsza3CvnpumG56CCVj0HWprFzLpkvAA1oja8NiHPeIjWzVuWAnNY6Ezx/Hh6eBnBvHjRUnRq11ECyAhbvgjjgQO4/KuHEcxssz7evmIFMwMej2OsRXDQZGnzI/xHyj5+F8JnRYAeIi0inOk7Gffh5+UtbZPeC9YFl88xrS49AxPHj9eD+aZ+eR7n7DmA4/2w7suzmrlPWc7StNQPpcAPU6BScGak9uFDh6SDJXAYuMOROS06dnIE26v4VzJyp7VCsHFjx0erqXuXboiOXiFWhgZmWoJz5swV9zaByw6LVgYjqvmeFgmzenXr1BXOw5z1c86//S7uaWvLQejTs7e4xdnJ8UECfDgArQd3Nw/p5JjNiQE5ejDXMyZ24Hw0UyHSFb14wUIpJ8vPjpmWLcFDsHAfwUw3r5O9g9HNqoGZlijn/rgRbgQm547Xx8XJPsKAYGZQF5OG8BgNzGHTp2PMyJFiGfI6zKi1PHqpDGq01J3UlWD2dHUDrV9uAuZjx0VnrjXnew14DAbj8hkmgWEw2q6du8R7wWAvgozXplUYMnmKLIE6e1pv3dLFTDBznpjrkAllDcx8QMTKZfoIfX6eEeXjx45F+MyZRogy/emsGTMEpFw7zY3zvASzt7uHeA3YZuhyZxvi2ttdO3aIxtzPeVG6xrmumrAmTN6+eYNxo0fLwImDAm7MNhc5e47oQXc9deNAUcDcspWkGmW7Y53Ra0HreMqkydIG6QFgLm1a67z/rMwsOScHSxycuTu7IClR7/nhEizCmZ+fP3+RwWLeKhHWtHjpamabY/tctGgpOrfvCFdnN9nH/RwMEsz01BC+3KeBuVP7jjKXzX16ME+SAaKWulMDMweyfKgLj+P0z+zZkVImDvAYE0BPA7PFEcz0Zm1Yt17q7KLBo9Gja1fQYqaWHDhzTl/BWapc/VAKVDsFKgVnukvp9mQnpyWfYMANO0d2kvEv4yX5BDs+RsJyY8cXGjJNOhWtkyMwOV/H7FqfwLxVgmJo8ZUC86Kl6N65K5wdXYyubEasWvW3Qp9eFrLkhJ0X16NyiQrB7GEAM5ejBPiPwIB+/SXBiZZxialCg4P0mcfo9uXG8jP9IcE8fowJmN+9E4uZlp82/1kKzOfPy+c1MBPgGpip0/VrejDPNgXzkyeSTYyRxXTZ8tqECee96W34HjAP9/aRJDCEMq1RAo9g5hIbgpnW9qIFCyT6m54NDcxcf04PCDt0RmhzY0dPMNN62rXjE5jplqbbm2DmPRPMjCOYMG5cKTCz7LTeCdI7t/Vg5vVjVqyEj4cnmKWLAGY5aT3TOqbbn4MfDcycx6fHgGAlTAhjDpA0K5rlZDsjmDlHTpe8gDktTcDMJWFMNcrPMwkKI7QZLMWc5GmpadJmuTadAVWENsvHjfPWBDMHBhxg8NosF9s14xgYF0EAMzEO4cllUaXAvDD6czCv1IN5QJ/+pcHs5Ssuc3qBNDBzKoeem9Dp+gxhXwIzl1H16WkhFj/ri7qVBbM2QGM2MM7jcwmdgDkpSQZJDMBUcJZqVz+UAtVOgUrBmQFhBA5/E1amYGbCCH9fX0ybMlVG6bxzdnyco6TlRHcyA8JoKYweNVY6qTmzI7Fp8zbp+MLCZkonZQpm5uKmte1iAmYmEuEyEQFz7Abp5LhPD+Y64rJmx8c5PGZbYmfEYBotsQMt9uDgyRIVTjcgNz2Yn2OE33CMHzNWYCXAJJjnRsm9lgLzpk0SVMWgG26lwbxO9v0jML97pwezZzlgdnM3WsyEG/MjM0GHZjELmA+WBjOvzWAorollwBTXbROsXDM8rSyYs7MFzHSVamBmJ08wc6DC5VkC5qIiWUrFZCdiMRsCtd6/ey/vCVKuoeZmBLOnlzEiXAMzA9QYeKaBmQMRbw8PI5ipO13arAdaiJx/58YyRM6ZI4MXRtDzfriPFjM9LYzApnVIDwCDxjj1wYA6Dg6pB70bXAvM9km3ODcGfxH+Xm7uMjgiyGjts11z7pmeFbYXApPpM7nOnGAmrPlauGCJgNnN1GLWwNz3C2A2TLPwe1A+mOfI1I+pxcynsnEwyu8CBxd6MN/5ZDGvXy9tmO76On8yrW0bATO15LIythVGb7M+FZyl6tUPpUC1U6BScD539hyuXLoEl2GOpcBMV3CAn59ExLIz4MaOj1G9Pp6e4kZlYgwumyKYGa1NFx3d1uz4OIdH9zbBzPfS8S2MRo8u3cFIWO4jcDmHZ21lLR0v1y9rEGb0NQNxPNw9jfuG+/nL+k9TMPMz7BC5pMXJQT9Hxw6M1mRZMNP64pyx87BhAgh23GmpqZJlivPutMK40YqhK1tvMZuC+ZrMW3OeVnNlM8qY+bf5UBCeXxsAiMVsAmZaiHRlExqaK7s8MBM6tJJNLWbuYwQ2M38xGG750mXg0iTOEXOOWW8xn5ayE5C0mBlAZArmM2fOSEIPDcyEwYP79yXa2hTMvAd6BOhp0MBMN3zMypVihWtLtXj/DBqkdaqBWcp5/bq0D81iph4cBHEpHsHMv7kRsJFzIsTlznXfBDPdzkxRSk8LI7AJZs0DQFc0g7pofXMfH3xBMHNdtTbHTAubYJa4iHfvxMIkmBnoSJDxOlxWx4BDps9kZjYtEQnbJ4FJV7abi7u0ObZFTp/QlT3ABMxcGsV1+izPEiOYNyIoMBgd2rY3pu5kGw+fpYE5QM5JV7YGZns7ewk441w5g+L4WEtmV+NjWxlDwIQ4jF+g54hBcdSISWVYhwyk27ZliwoIk9akfigFqqcClYIzo2qZ71gsZkPKQw1s7PgYEMSNc4YEM92k/D87XQaE0TXNoC5TMNNVSPd2KTAvWIKeXbvD1cnNCGamQSSYOYenBYRxiQuDa5htydNdH5zDfbQ6aDVa9LKQjpEdpzbfx0QMDDRjp8tlNAwyout2wthPFvMnMDuWA+bBpcBMOHJtMvNbcyN0GCTHgDImbBEwFxXJ8h9GYJuCmdchmDnPq7myvwRmrl+lZ4JzuLRs5TrXr0tHzKVMLIcGPFrWDIIimDlvfPXKVYEgM20xWI1bdpYezDyWc788judlRDlTfH4G5gkTxELWPAiMwOfAgxYug9m4MXqfYCbsT5/Ur6HWwMwkI3wWNAcEmkZsHwJmk/SoE8eNw5TgSQIbnjM1JQVz50RIW6Ibl9DhORiIx2h2uq3Z7ghhJjphshtCixa3dhzzeXMZFy1tbgQ5wUzdWQcceNHaJ5i5uoBgZpvlnDMDtegyNwUzp2e6dOgEd1d9XAPbF6OyB/a3gmXfAUZX9icwdyoF5sDAYHQsA+ZZM+eIZcwUnjyfgHm+3mImmGnBMyCMa+ZnhIVJ0BvBTD0Y1c74BUbna2BmXAGTxXBQsGGdvm3SG6IsZ2kC6odSoNopUCk4MyCMYGYnx86L2ZroKuOcMufruHGumR0FO2i6UXkcOz5ay7Q+ZodHGC1mgpmdhymYaSkwupXBNUz6r1kkNgNtxCKh9Uu3NoO/fLx8xToMMSSFMAVzP4u+8lktqpvHcg6R7m+B9dr18l4P5nHSubOs7KyjxGL+BGZabps3bpIMWqYWM4FJ977W+RE6165eEy/CHAOYaXU+efxYlkYx6pjnl+skfAXM7h6fLObcXEkswYAyDcwEKQcAzGUeMNxfHnFJ65iBZ4QtvRR8eAStbbo6maaTUbuEFzdaiLSYTcHMYwnmUSNGlAIz53b5DGoGsxnB/DYBvD9auEw6wo2DCoKZ56QbnfdNFzMtZi8PDz2Ys7KMYGb7IJgJSurBaRG6zJkilFYgt5RkPZh5LIPMBMxZWeKy5YMc4tauFUuYEN6+datMi3B+nQOH9LR0iaAnmPkoS16HGz07tMrpxudxAuaMDJkG4DpqXofl4UBFCwgzgnnzdllpwAjqUmBeYQBzvwHyOEm2LwGzp4+0e1OLmW2dXiLtKVS0mDUwcxpGAzPT1dKVrYF585btYNaxWr/9LlMVrFdTMHO51sywGaI725sWDMeodm4F+fmyjE3BWeRQP5QC1U6BSsGZkbQamLkMiLmM6Urjwy64sQOk25Yd9LOnn8DMACmuy2QWJM2VzTk8AtsIZnZ88xehV7eecHN2lycBsaOiRUIw03VN65f7GBBGS5kBLqZg9vP1l7XN/frowcyOb/q0GQJxgpmR3Py85pbkPlpqtLqMYI6MhItjWTBvlCdGlQ/m9XLvejBfFSv822BO+GQxG559zGU+4so2ATOtTr3F/DmYGUzGgRGfPS2wJph9fSVqVwMzUzYSTMy+VRbMhL1mMRPMfFYynyi2YtkyqWPClWBmsJQpmPks6E9gviX3zjbBp3H5m4CZmnKJFgcGfJwm15NrGrF98PnQRjC/eCGWLSP8GVTIjdMitJh5LIPMCCIOKpihjG5nUzAzCxuBZ283RJ5VzfIwWQutTHoVNI9OUmKigHm4j48s0SKY6ebm/DzTqJqCmTm7uRxvUvAUsWLlwRZRC9G1Y2d9XIMhAQ6zfBGibJ8MdGT74jp7Bh+yfWtL+Zj6M3BikJST0zg8Tg/m2WIxlwvmIXqLmddeunSF5KHnANkI5pd6i5nr3DUwcz6e7YKufQ3MHGhcOHdeljwqOEvzUj+UAtVOgUrBmYFghBjnTpm9ia5rLv/hxg5wxvRQcecS3DyOHd+6uDgBBN3JDAhjSk7O4XHph4B5wxaw8+Ha597de8ocHhOTsPNix0cwW/WzNIKZ7mhazqZg5uMhmbih1u9/yDOitY4vZKr+EXkC5gFWRjBzaRbd4xwwGMGckIAoAbOT0ZVNi5mgozV24cIFuU8ez8cTOovFXA6Yw/WubMKNc4N0ZZe2mA1g9vKS7E0yl20AMwPntDlmDcycyze1mPlYRbrGBcz37+vBfO2agJnuXJaX2nMgweVTXMJmBHNmpljMdLmXAvOpU5KT2tSVTdcu8zLTdU2Lmefk0qY54bPFwuWaZG5GMPv6yQMWeN8amDnvTQtdAzMj/DkoMAUz3a9cX8wIfz4mkxvng+dGRMixnMsWMGdmiveC67U1MBPWzL/NTGYchLB8vD6TtPDBFgJmg0eH7ZQWM6/PAQZ1p7XPteCMcNeuw6VeRw8fkXlaLSCMLmZJoNOpi4CZgzu2MT7EgmBm+/wczJ3LAXMHia/Q2ufMGRqYR8j5eB0OUHlOBxMw83vDRD1c48yAMLGYX76U7x/BzCVsvB8JyvQbLtM1EXP0FjPBzGA41jljJRScpYmpH0qBaqdApeB88cJFcdGOHjFCQMwlNNzo0iaYGVTFnMdGMMfGSgfJhBTsQBcuXCJP2uH8M8HM1ITao/b4KEd3F3eZW9M6PgFzfytxYXMfwcyoa3aazG/MTpIg9/PxEzD379tPOjlaJAQz5515rJUJmLk0xrKfpcBZS99J9ybTb3I+nXOV7OgEzBs2/CMwR4TPljlmDcz0Iowd/cmVzetwjplzrUyr+AnMWyWifd9f+nXMAuajx8QK53IkdrC0jrmuXMDsr7eY2UkTkkzLSE01MHMOktHLTJHKSF1ummuesP8MzKNGlbKYCWYuSzIFMxNe8P7oetbAzHPSYubUAJ9Cxfumi5kPvmC2tR3btom1S5f71ctX5LhlSz9ZzIxH0MBMsHDjtAjrgufkXDbvkdMivLdBlpZ6MKeniyb0NDBegRDW0omyrXHemQ+44D5uhD7nmHlOAlwDc8yqVQIsDcz0IBw5dBhW/fuLO57BVVyOFzV3vmS2o7dGA/OyZav0YO5v9QnMq+Pg5eEt1rWpxcynrHVsRzDPMrbPcsE8j2C2hMMQB/ke8LtBMDNLXucOncCnrPEBH2xHnDrSg3mm3A9XRvB+GMQ2bswYuW+2o5N/n5ABCR9rykGlgrNIo34oBaqdApWCM5Mc0PVJa5D5pLnRIiGYR/r7G5/oQ4uEmawYKEUXHN2ZhAfXHDN9pwZmzSKx6NFb5vAY9KKB2XaQjUS+cm5ZwLxmnbgKGejEDobucT6phwE7fFgG1zLzOD2Yp8t8MuezZb2nwZXNJ2K1adEKNgOtxephQJgezBGSFKM8MDNpBTexmI/oLWZmXOLG+2KwFTv98sDM5UXaHPNXwezhCSOYc3JxXAPzyrJgHo0RJmB+ZsgwxjzfRjC/jBcrtE1L/eMlaV1y7nbJokUYbG0tc7MEPTvuU6dOiVVvdGUXFoprlxamgDk+XgZaXNoUMXs2AseNx62beos5NUUPZlrwzDylgZnZyJhNTAMzr0WPy4jhwyFgTkqSczJegS5zLm16+UIPZj72kmDmOTmXbQpmzgczPSrbFgcrjAQf2H+ARC2zfKwLtjW68JlKlulE+XnGPdDz4enmZkyYorf2V0r6Tw40eBzBfNjwZC3Ok/N+OOcs88Gdu8k0Ctsr25gGZj5O0mgxr44DM4bRI1QazIHo9BmYw8WVHTD8k8XMlQyfgTl6BRwd9GAOD4+QgDBGp3NARI8Io9U50CCYtfzq9Gjx/the9Slb+0oMBe9PBYTJ11b9UApUSwUqBWdmVpoZGibA4d0R0AQ1UzgyCIUWs4B5baxkn9LAzI6ha6dOsk60FJjnLoBFz97wcPUwdnLs+GwH2WKQ5UCjxczgGloknEfjHPMf//1N1jFzWRStXx9PXyOY+WACWswcDHD9MztTWjsMpqErnMFmTFhCK5xWBpfouDk7GztuWoMb16+X+UtTMB89ckRc2UYwF+gTsdBdSHARdmIxP3ok8+6lwPz2rbhyaTEzE5ZYzKmp8sQqLuX5BOaccsF89epVgegI/wCZYyZMCOaZYWGyNIpPY6L2tD6ZYIQdOCPrCWbO3fLJW1yCs2L5crFsBcwnT4pVr7myCTfOuXJZUikwv3olc5eMdtbALFbaylUYWQ6YOUdsCmZashxQEMyc+mA5WXa6zPVgfiFfFP4vKiJS4hg0YHJaZOOGDbAZOLAUmBlwxsxsjHdggBfLzrriAx+4xlkDO6dXBlkNlNSlXApG3QiuVStXihtcuw7bJ3Ntc0maBmYeSzhzuRTbngbmpUtXisXM9lkKzO4Ec5dSYJ4wPlAs+7AwE4s5LBw9unTDZ2DuZylzyhygisUsYHaUeWuCmW2YrnW2bS6N2rJpkx7MyckyZ84pGkbOa2Dmw1I4UOAAiPuoEe9NWc7Vsl9WhVIKoFJwZtQuM1pxo0VIUNOS1sDMTiB27VpxD5uCmWBr3byFPKSebmh2dP+fvbNgr+raGvVPuff77unxOi1uxUuLOwESQkKw4MGCFHd3h+JQ3Iu1EKR4obiTECDEXcd93rH23HvtJJWTkEMKcz3PDrDYy8aame8cPn36LK14RJ1rU96QtnqAmaYABqwaXNOtu4IdMDNJERDGxIdZjyhsozHTmMAB8xd6PN+lXOjUKTPUD9egbn0FM/tpkkHkK9WqTB3n3wXzOo/G7AIzFav8wfyNmhVZuAAiakPjY8XMa8DMdQhiAsx7d+9ReRpfNq4Bop7VlJ2VpZXY8FkTfEfwFyUbgQ5gDurUWdskAhIFc+RINekaMFOKEk20ODCzeHCDGdMuKUxuMONr5vkcMF/W+0QLR3PjfozGzCKABQb+3MJgJi0LU74BM92lMDGTekd+PBuBWoAZrc9ovArmb9dpKVK3xsw18aUT78A5gQ7+dSwkRHCb4wlmowALpnDKfCIj5I6Zv1P7DnL1sqMx8+6AVuvmLfRPzsd3iXwndx5TNlYaxhgmZtKlGJ9mzGLZCQkO0cWgW2OOGDykCJjHjzMas1M/m98D3Cz4rAPaB6gliKhsxiz1tIkKN2Cm3CzuG4LcTOUvFl60ClUwD3TAjH8fc7+CeagPzNTfxiVi4axDzv6wEih3EigVnDFPsmGiBcxEDBP0BIQUzCtXKezOnj6thS/QSA4dPKiTIUFZTG4K5mmztMKXH5gXOmDG5Kxg3rRNNWdMhaRgAWaORbMgIEw1ZheYR3r63WLWNGCfO2+hXodiHG4wL16yXHOuCRqiUAWaLBM3KVFE/FKbmA1gcv8Ef21wgZney2jMbjDTtxo/INqLP5gXaFqZH5g3bdaylsWDeZmCGTgTQKVg7uOAGc0cuCmYO3dRf6KC+cEDNWVTBtKAmTgAmpFUqVixiMaMT7IImEcA5kmaxsT7JJ2J58MnzL2zAQPADETxZXI/BsyY9t1gZnHG99xgJpAQXzb3RalUNiL9ATOLPK7D82B9WffttxqopWBOTNSa3MePHtWoeXz5LDwAKcFO9evUkaZffaWaPfdEPjRRzUR1A2kDZrpskfqm1yHVKyNDI8oJCAPQBsykqeHHZpwZVwvAxIzN+KTFKbCmuxRjGCsN/88+oD14EGCuIW6NmUwFKnz18TS2MGAm/qEwmAOKAXPvXn3kkw8+0oAwxqu+i2XLPGAepL9/vAusPpQtxTJhNGbATM4zJU0tnHXY2R9WAuVOAqWGM5ogYAYaVJ1SMCckaP4zpRkxL+JnpAb3oQN0HgqQHdu3KyTmzV8k06bOlMYNv1SNxExyQBuNmQCw5bTV27RNNVy0FgpAuMFMcA1BXmjMaMBMcj4w1/GBee5CadSgoRYsaVCvvoKe7xOpTQ41WokJCAPMFBHp2K6d+i15a14wB3SSDevW64vMyXZKl6IhUkrSaMzFgZmIYPJ4ydH1B/OmomA+dFj9rIAPKHvB3L+/FgRBYy4OzEzSQJScVmBEYwMmaLTOGdOma1EKop4J0qJkJQFBLB7cYMa0SwqTG8wElPF8fmCOc8Dcvxgw4yMmIpxr8+5ZnAFbN5hZxOHLJieeCG02AgoBM4u8wmDGbA2YAQyLPIqn0CKS+AYWHgCX8qkN6tRVszXHIyOCwHChUMLSmK2x8uBXJ0XOfI93h3+clqBuMBN0R+MS2mayoATO1MKm8lfr5q18tdyXA+Zu6uP2B3OEghkYG4vO+LET1ZRtOk4pmGc4gYm0LiV2wlh5Ajo4GvPkSdN0HxozYKZoCf5nWnEiE9K/0JjJNeffjJm9e/Zqf2mKq5h9LDQAM1YRisBYOOvQsz+sBMqdBEoFZ7oVAWZMogAJMAM2CpMQcGPAzMR3cP9+9TsDZkCHdoG/+auGjRXMRMGqqXDBEqFfLnA2jejRSAAzE6wPzBtV/D66AAAgAElEQVRkSMRQbd/HBIOpkUmOgB16Mdf7oq4fmKm9XbViZdVWMD0y+WkpxCbNVIvGf8fk5oDZSfdC22NTMB84qPe/cb0HzJ6a4oCZ/FsvmG/e1PrhVBgzGrOCef4CDYwqAuaQUIWCuQ75tMCNlB4D5p/QmBXM4WrKBjponW6NGTADt5nTpjuA8IAZrXPzxk2at8s50ByZqCnSweKJNCP+jZaoYI6MlCmTfBozkc344fFVcu9spDaxcAC4+Le5Hzpe7d61SwMBDZi5f8YAsPUD861b6sumzroXzBR7mTZNBvbrp5HrqjEnJmqrSszWBBRyn4CZ8qgd27bTOtpo2nwXMzw+Yj5EviuYnzzRnuIAG7CzWCDIz2l12karsPE9iqNghidQDDCzoOCcWCpYTBI8xz58zvQdVzC3aC0UuWHMLlu+WgMYMaWzsPRqzAMjtKgO5mv20SyDnGY0ZjeYZ3jA3KlDJxeYFwugrl2zlviBuacD5kEDIzQgjC5q5I0TVxAxaLAXwjQxIZ2MD9YE5EZRGeIcWGThOrABYTqc7Q8rgXIpgVLBuX3rNlpHmZaBCub4eFm1YoX2xT0TFaUTGtAiuIYazgbMTHzk4LL6Dw3u7tU+0EjatGwjbVq6wIxGEhyik48XzGs3qI+ZXr09uvdSzZk0rIkTJmsv6FYtWqmmzYRIsww0Zky8VCMzYCZ/lOAzUlJmzJyjAWFMvmtXr9YJzQ1mOjx1CeikebW8RUB27uw59amiifqDeYxqL24wL5w/X4tn4P80JnPycdFo9u3x+ZjxxRcB87lzCmZMwkZjvnPbATP+cczJCuZnzxS0TMb0XgZEgJmylsANP7EBM2Ue0UTRjtEieR7AS61tN5jxW7PwKA7MtLakqAlwI7VJwdynj1djBsz4fvFrLl64SGHAGGERh9aGj5jUKTbuATDTxYqypYwPQMxzAEw3mCnCwjOyKCQzgO+yqKCLFUVXMNlyT08eO2AmWIrceuSBVYGFJE0suHeAy8KLe8d94QYzLhve+YK583SRxH0yPr5q9JWOUS+Yl61SMBMRTmEQA+ZBAwc7YPb0aPYHcz/9HoFeLAopWOIGMxXEALOWtnVpzNSH53cGMHMdFpfUC2jZtJkGISIz5A6Y0faDunTxgplFFKZ5FpME4CE3m0qlw8/+sBIolxIoFZxpXGDArOkbK1ZoUBOTMhMf0GLCI/rZDWZMhVUrVhK695hJzgvmVm20YQCaLRoJPjzA6oB5i/rwCK7B70yhEbRlAsLGfTNBqleuKm1btfVGzVJ7GADTUID63UxomAUBc8P6DRTMtKjctHmbplIREBbQvr2cPXtWXxYTNy0Ni4L5rE5ymGCLgHnQIJ/G/DRaigXzRgPmvc510tLFB+blPo3ZgDk8XDtAAR2C7dCYFczHHDADNzRgJmQaGiB7N5gJtsI0TfAeJmzAzDnQIg2YKfrhB+YHxYD55UvVmNGEC4OZxYNbY2YM4OpYvMgF5ps3tRwnPmJqmLMRr4DJHWj6gXnNGgWmF8xURzt8WAFD9SusBACGiHFaRvbr3UehwwKAwLUhgyPUx4xGzDvi3P3C+2pkM+8UiCmYd+7Ud+4GMxHlLCYXzpvvBTNBd0Tzk9Jnmqxg2QkOCtYAO7fGPGgAYK6pvcgZc057SY/G3McDZqKtp3vA3NGnMQPmju09YJ7sM2UrmKtWk8EDh+g4xtIEpImTmDVjpmrGDph/0HEQGtxNrl+/rgsnLFyAGZeKBhFSf/vhQ82ssGZtHYb2h5VAuZNAqeCMmYzJ0MmrXKGaoBfMnnKNwYGBfmDGVIjGSEEHM6Hh90VjBqx08nHAvErBTBlGCoxgtjbBNVU+r+QBs2PK/uv//kWqVaos7Vq384F5zgJpWAjMnBv/MgVOmDwdMDtNMEhloVEAEzObG8xEw7KpxnzGA+ZpPjDT0/ib0WO0IAfQQCYUt8DnizaHZqcac3y8bN640aMxGzCnaQUqR2MuBOZ+/bW29U2Pj1nBPLY4MM/XLlhbNm12wJyYpBG8aMwEWwFmIDhm1Ghd1HjBnJ0tly9dVjMvlb7QLLl3oqaxCBBFbUzZlNbElA1w3WDetXOnmrfdYMaMCmwBs/EH8wz4svERk2vMRpckwIzf2wvmhARvFTkFc0KCwhUtr1OHDjIRMD9zwMy9AyEWBqYKHc8KmKkcZsBMpHWdWrUUooAZEy/vd9eOHQqy/fv2a61pFj9YTII6d9HFDt9jI+iO9EAWbybPnsYrdKCiCIjPx7xeBg4Y5A/mDVu07zOm7L4uME8HzI2baDc042N2wNzR2wzG/B7QuIXfAzeYcQlVqvC5NKxXzwtm+mQHdOiotcuxkmDRQIaffPihulTcYKYISf0v6lifs75h+8NKoPxJoFRwxvSn6RvLl6svy4CZiQ9zLZo1GjMBSGg5fL9HSKjMmz1Hg6+AswEzYPWCGY2kazetouQP5gj1G1MzW33MG7ZofW7ynDnepLPQiB4AYwI0GjPnDuwcqAFhgJl0KiY/IrnD+/TVNBcCwti4fzQpNGY3mJm4qReNX5eJm8ncAfPoYsA8rwiYMTHz/NSY1uukAeaDasqmaASaD59zaMz9+iv0DJgJoMKUG4wp22jMMWjM/mDGtMk9t2vjAzOaI8Fof3/vPU15QmPmOgQH4X+lYEpxYAZ+bOQOu8HMIoUgMwVz375+GnPUyVOaOuYGM1BQMI/1gRk/PGAmgImWlowP/P24FbBeABX+zb1jVaAFJ0U2cBfwXWBOeVP83sCTRQXaIGCmkxRg5j2ycPyyQQMFK/fLe0tJTtFxiT8ZMCML3iX+8a6du6isDJhZEAF/Fip/+8tfNCCMsQSYCcbypkutWS8D+jvtTycYU/aGLVrL3QFzf9V4GXOAucmvgbmW06XNB+Ze+ntAxDdaOBrz0Ihh2gWLIiWU7+T+FcztO6jlCjDzjhgn9HP+qtGXXpcIFos5M2c5cQCLFlk46wi3P6wEyp8ESgVnJjaiRKkAdfrUKa8Pj5QgfIA7d+zwghkfLcEoRL1iciUgbMzosaoxt2/TTpYuWeFozB4fHqknmLIdjdkx4REQhhZhwKx9n6tUU+Aa8zj1tzFlUx5xiseUvcQDZvo2u8FMLWR661KljJxoAsIy0jNk/14HzGi5bEx0gJmCGvR09gPzqNHqz/XXmOep2dutMQNMwLzfA2YWLKRloTGvXL5CJ1gF89mzMqAwmG95wBzoBnOMA+aOAZojXdh/iiaPFkmwE0U6AFG9L76Q77ZtU2idOnlSFxT0Y/aC+f59zYMmvcmAmdxhwIwmbDRmA2bM226NmXM60d8+jZliH6MjI3VhQRUwNqwKgJkmI5cu+sAMkNGO/cB88KDe+6TxE9Q3DZjRhMkJ5/oExgFmgtQih48QKod5wfzqlaaNUUWOUqwEQbGY/HatU1SGBZgBMwtLFj6LFyzUBQH3SfYBYCaqnIUCPmfy4bsGdtUWjWi6AJMsA6cveS2ZMGGy7mOM0swFMPcLd4N5lgPmgM7e4C9cOh3addTficmTp3stRz17/DqYQ4ND1SxOEBry4P0iEwNmSq4SAEjuP2OWMcz/scChCAwmbxsQpsPR/rASKJcSKBWc+/TqpT2FMWPSgg5NhYkRU6MBMxoJpmL8XUS90m2JDTiTa9y+TXttaIGmsHTZSg2uAaA+jRkwD9ZALwXz+s2yQU2FE7QMIi30TD9nwNylUxdpWK+h12RNFyv6RtNCr3+/AVoZjGtReYzmAZU++1y1GyqEkQ+KVovGTIQzG5MaNcQB86zpM3xgvnFDU1IItHKDmWck6IY60MaUTfUmB8z79JwK5gO/BuZ+2oMXjRzZAQjVmAODtJEEIMJEjT+UCZniJQbMQHjI4MGa9gSYeR/UuKbhBNAyYCaoineElmngRnAWBUoA0e+BmXdLoJcXzJmZcurHkzJ4IGlZPjD/ch0wj1T/tgEzqU1YHqjJDVRUY46P12jqTh07+oFZc8oDArQL1rMYR2NG2w/rFqKWBQLjDJiXLl6s7gKAy3MDYe6lcYOGauYleAyAY2nAFE1AnokXYPx2CwzSwDX2sRFLQZoYwWuAmXcJnAnUatywkaZTMY7QZBlXBG/5gXl0MWCeBpi/li4BXQqBuYMuEKe4wRzmgDli0FCvxkzaIH2jQ7uFah16Yiqol471g1x1iqswXgHz0IgIfc5ZM2boPhaKgwcOUjM+MR88D+PF+pz1ddsfVgLlTgKlgnPrFi00GtSAmahXVu9uMDsaZ5hGvWJyZcNUSDMCCjgAVAUzpsKgYM039oJ5jePDI9CLFnrUyXbAPF7BTEMANGaKQ1BGETCTMw140WjQmNkHmAf0H6T78O/x/1Rcqljhc2/kK+ZtfIqAmaAqNgfMp4WWgkxyXo3ZA2ZSUpj0AQTaoIK5pz+Y6fusYN5XFMxEtqO5+TRmwNxPTeUGzJRDJeXpxLHjeh3AjC+bQiikQ7nBzIRMYBgwccB8TMHco3uYpgWh8eJzBcwUCQGO3Ds+4CJgfv5cNWY0YTRmZMHxvFtM7grmlBQtBoIGhnmaYDPjY0ZLA8z4iGkXykaBF8DMgsaAGbMzVeRYaLg1ZhMhP3nCRA1kA+L0xg4LCdGobsaQgvnlS9WO8e2zCEQer+Li1N8NROfOnqO9nKOfRuv7UVM0aWYpqbr4QdvH/QLIkRnbzRs31VxO9Dr3B8gIunv/H/9UqwzaswFzv779FaxuMGMRUo257wAdc3x3GmD+siiY27ctCuYeYT3V8kPVO6OZDxk81APm7gpmNPPx4ydp2iCWDuRuwMyii5aXB/Yf0LGFO4mFE4GAuAh4HmII5s2ZY+Gsb9z+sBIofxIoFZzxKwOW9LQ02b1zp2ouCuZUZ+LDh4fGCUwMmNEEmZyZ6ObMnu8Dc2Cw5nQCZiCMqXBg/0Eaqe0GM/2YMXl3bO+AmcmLaG00mq8aNZZFi5Z6wLxCOgf4gxmfNOZHwEwwzaBBTkoKwCbAhnsiqIotF4056rRq/LM90bAAE/8pmkphMDPRATzybZn8EuLjhZxoTPmkkrGhMQMdTNmrVqz0gpnocDRRzLRujdkL5uNuMM/zgHlLETAvKgbMWCwIwktOSpId323XqN1iwTzcpzEz0VMy1ICZ5+Z4BXN/H5hZrJz84Uc1T7vBTA9hZETrQtJ22CiJCpiHRRQC88pVuiDC16w+5vR0bThBtDSpXixGHDCf1/GFed1UoQMwXJfOWgbMaMfkVONnBcyMO7R1AtEoW7pg/nwNlOKZWFTgflm6aLEXzDd+uaFgHjNypA/MMTEayU4pWFLzHDCvU3M1EHaDGVcM+/r7gXmmfA2YOwX6aczt27Z3NOYpPlP2r4EZa1L3bj4w0xiDxS31w/3BPNgPzFGnonTB7ID5sBfM5H1/2aChhbOOTvvDSqD8SaBUcGZFDnB27dipEGLyJp+UiQ8fHuZdzK+JCQn65LduOmBGo/r4/Q80WhvtluAazIIGzJgKCa4hoKt3z3Dt+Wx8eDQeoLyh8THjN0ZzBszU4laNeQlg7qwaM9Gz7KMpAVoOJnDAbAJsADOdrL7wVAjjRs39A7bZM500FWpYK5gjR8rwIf4aMwFuhcFMFbEiYN7vgHn1SheYz5xVKANnPzB/M1a6BQWp6REN0dGYfwPMC4pqzAbMPA+FOyhfSbqV0ZgxNZMOhunWmLKLAzMxAgT2AUajMQNmovUxT9NAg+OAKCZVGljgI/aC+fFjD5iHyMULjik7/tUrQQ5U6Vq7eo0uZtBc0ezxD09xgZnFBdYHFgteML94odou3a3cYKZuOXnMc+c4YGbxOGnCRPnw3+/LnNmzvWDm3knBWrp4iY5h3jv+cQLMSD3DLM4iC7mTYsa7NOU7V69ZJ33D+2mhGz8wjzRgHqhjjsp2VMCjV3hgYTC3aS91an+h7hdgT4pfj+49VGMeMniYHs8CFe1ZwRziD+YO7Tro9QkIQ2Mmv5t3gcbMApAxw0KYRU7tGjU1p9lozPS/ZrxSKcyatcvfpGzvyEoACZQKzhTAAMhAwA1mVutoM8bEyoUADxozEzeRupRUnDhxigQFdlXtAY0DjVnB3G+gTlKkN1FcBDBjKgTMFGsweaaLFjt+47/83//1pmWtWr1Owfz5JxVk4IDBPjCH91fNmE5WBsxci5xUqomhnROtrWA+FSU9Q7trVCsQAjoacRwZqQU53KbsubNnC773n3/+2asxU3dbwbzfpTEXC+YzasYGzPg4ubZT+hMwd5Ufjp9wTNnRmGTnSZeAAIWjMWUTjYspm0hstE76JLMooqlGz7Ae2r6Sc1JbunfPXlo5DO2ZfZidSalyp0vxXPSLxkRtTNleMA8Y4NTKTklR876CebA/mOliVRjM5ByjMVPIxIAZ8FFFLrBzZ02bwsqgYN63T9OYgCFpVsiduuXIknsCNkCHIDWiwWlLeu7MGbUgsEikVjZFRwg6ZEHIu9u9a7fGFZDSx3HsA17kibvBjDwGhPfVcqKYxRXM0dGqvRPwiOkfywqR2qRE0c0MMANWxueoyDFakhPLDItBPlMBc6OvNEvAmy41f7G0a9NOtWtS+QyYw7r3UFeNH5gHDdExT89yfg9w6dAYAzCjdVMSFGsAEdj8brVu0VIOHjioMuJ3jKYlBDnShQy5sQ+rQq/uYULcgQ0IsxCwEii/EigVnEmPwWztD+ZTuio3wFAw37ihkwcaCRMEEx8BYc2bNtdJygfmdRpcU7NadW2h5wXzqLHqb/MDsyegi+pKJiAMMANZoq8JIjMac9/w/hrM07lTFxk82JOSsnqdXuPjDz5UfzQBYWjzBAcBgzmzZutErmD+5YaMHBGpIEND1Inu6VP9DiZqH5hpL+mAmV7AbJj80QbpLrV65SqfKfsMYO6r/lsvmG86zTKKB3MnhWNRMC9UMLOfnGRymfE50lfaAfPPGrWLNon2yz4Kd/QLD1ffM8FBbAS1/RqY0Vi1iYUHzPROBgYEYRmN2QvmCRO9GvPjRx4wDy0E5hUrFcJU7sKnC5gJ5KJYDWld1GvnPjX1LrS7ms39wLxwkeYdE8/Ac9N5iWA3TNSLFy5SeQDhXTt3aS9nfOzcJ/uQQd3atYU8X6w8bGj7uBSoWoZZnPFp4Ib1BzDzzgkIQ7slkNENZmq516td1xvX4IB5hlYTC+oc5GfKJuUPs7dJ5UNjDgsNc8Ac4dKYfw3MbTtIh3btNXiSgDC6uxEPEdqtmxw86AMztdDpX85zcu+kzwFrrCdmbFo46+u3P6wEyqUESgVnOv+4wUxwDbDCtIg2xIapEO2OBgcETalGEhMjNatV81b+cjTmdeqnQzvu06uvV2MG3ESodu7Y2acxa0BXZ21GT8lEzI30ZKaKUv269by5zTQpQMt5/5//ksAuQV6NBo2Z5gGYOsmnZjIFzvgUATPaMBO5A+ZftKoVGqYfmGfO0mcFSjwTmisdgDgezYxNwbxvvy5WMCWa4C+ggvmUVBc0ZUAEoIGDgvmEW2Oeqz7ZbVu2en3MRmNGC+K6AIq8X/oZMwFTdpNzsmjgGnRZIhDIAfNl6dsnXMtioh2zAeZlLo2Z76nG/N12DSQqAuYIfzD/fPVnNZESvGVM2aRnoTEjNyKskSUa6coVKxTCbjATIY8mSx9soMj1NcJfwTzYW7edVCieuX94uKa28dwAlgYOPbt31xrlaNAK5h07tQkGC5W4l3G6j0pZLAq1Q1OCE5yIVQEw45OOe/nSAfPTp2oKx/RLMBtwIxju/X/+U+p+4fiYjcY8csRoqf9FXY2PYBwpmKcA5sYS1MUfzG1bty0CZlL5alatLkMihuuxmLIpNsLvAc1cVGPe6GjMaMtozWQ1UPqTnuRo81Q+Y4Ghi8boaO23jS+aQDsDZlLm0LLp7sVGgRLiHqxZW8Vhf1gJlDsJlArOWrM4JUUnU1bhgJnJE22IjdQOAoCADkE5BsyYLanGha933fpNgg8PfzArfRoCYAJUU+FID5gDOsvKlWt18sKvTEAX7fooYsIkSUAYZkE0GlN0BDBTXAQwUxWMSZPvko6Cdg2Y6SLEfkqAjv1mvFYtw3/sBnPk8OGaXuQGM35ockXdYF631gHzoQMH9dnT0xxtkAme4Bs3mJlMC4MZsDpgdqquoT3On+MB89YSgrmfAfNhfUcU++AdUa/aC+ZnDpjxV7JPwZyYKICMCF8/MB8/rgstzMFGYyYADm2dRQFVutgePXTAHDnMB2Y0UgVzYKCaso3GvG/PXsHkPHXyFC+Yz54h9a67aufEKQAYrseij5reRmMGzCxaMDvTUcqAmQUjIBoaMUSjknmf9DQGzEQ2s6BhY1EBmElVI7iM8ck4BWT0p2ahoWBOShKKxNCViiYWBsyRI0apedu4TxhLmKpp5kJpWsYx+4jupvod7hOAyvGUpu0e0l3BPNSAeS1gjvCCeR2mbE+PZwPmZR4wk51AXAW/M+Qs+8A8WYPEGHPsw60wfuw4lQdWHTaKsBAn0qpZcwtnlYj9YSVQ/iRQKjhjdmQyJ2KXyWzJwkU+MF+/rhHNaCRMeEwUAIcIXOr8mvKdBHZRpAHtGDADVQfMYzStipxQL5gXesDctLmWTGSSw/+M5lwYzPTJRavAp23AzGIAE/iH/3pfm2kYMJOSQkUx/HNuMI8YNly7J6Gx6eT39KmaEHlWAnCMxkzfZzRmL5g9ZlrATBSyATN9oTEnE1jl1pixKoQEdZUfTzhgRnvEb0paF1ohGiJaOPDECrF44SL1qfprzJN8GvPVq2ouNxG6DDs0K0yflLX0gfmZaswOmJ3uUkQ3A2Z8vICPblPIhJxYItTx6xowX71yVYOneKc+MD/UAiPkSxuNWcG8fLmmhHk15rQ0BSppYvSJNhoz4CWGgUUd1gTk7oB5gUa0u8FMcBopVG4wY7ZuWLeeDBsyVIHLs2/dslU+//RT3ZcQb8B8VcFMqpcXzE+eyMQJE7TwiBvMdAhDszcBYYzPEcNHSoM69TWugXGoYJ7sAXOgP5jbtGrjBTN13EnbCzVgHuLRmNdu0LQ+NOYeoT3EDWZ81B3bdRDt0rZxq6YNsrCkzSkBYTo2o6OFEqz0LycljQ0fO0Ff1LFf7+k/jsZM2VLGMAs1qzmrqOwPK4FyJ4FSwZnALwKDFMyLFgsRuGyk0jCRo5GQ22omD7QrooUPHzqstbDpyEPUK9Gk4X36ecGMD4/oaVJP/MDcoZO0aNbCD8w9w3pqV6pJk6bqBEmTAc4FmIkCN2AeNixStXUmWNpPGjAzyWKC1Ojujz9R8ysaP+ZYopjdYJ45fYb2UwZ0Bsz0fVYwH/RozIB57z41ZROF7AXz6dM66VMsAv8pixrgo2DuGqxyNHIiLcsB87YiYCYfl2AnL5hHj9FoYkpXcjypQFwDMFOPmo3/ixg0SOrWqq3gZd/DBw/VfA+YCezjfhTM275TrZ5FBcDEvE2OdVEwX1EwE1VtwIw5ncpfyM0NZqrIBQcFybfGxwyYd+/Rwh+0oyQHmeuTeueAeYgPzLGxsnDBAr0nPzBv3iy9e/b0gpnjybNvVL++mq0BExvjk8pywJV3yYaVp2+fPhpRzvd4l6R6kfpFHIApB8qzk1LGvRNoR+MLFoMjho3UxeCgARGqBTOWsNg0bthYggOD/TRm2p86GvNMHXMK5m6hjsY8ZITuI8VPm2UA5u49fWCeMUeDx0gbdNqnOmAODuomLZu10PS/RvXqK4SRI2BmzLHxLklhZME5a+ZM3YfFAAsPUKZiHRH8Fs4qGvvDSqDcSaBUcKbNH+UNyRMlApcNcDGRo5Ew4RngTJo4UQtNAAw0MUyMnQJI86ilfmGjMRswk3qyYuUaIR0FvzJN51s2b6m1jNFU8BGTE0qfZhMQBpjJV65aqYpWGmPS5DNs6AgN9qKjEPnQBswREUOl4qcVtMEGUbh0+AHM+CRHjigE5mnTi4CZiRAwHz54SJ+dwCb8p3169FQQucEMDAqDmaYUBDHR4s/IidxcBfO2QmAeHKGpQwbMlL0E7LgIDJgJXGIBxDkNmAHm6JGjVGPeuGGDVsUiupcCG6TZ8D0DZoKqMPMS/IbfndQjAooAuzv4i2pTBPdxbS+YHzwoCuaXL2XFsuVqrmcRgykb0zNV5DDh046SOAQ3mInqNhozvnAi/pGbF8wpKZqLjlXCaMwcjx8+MKCTPqsBM/Wmv27cWC0GVELD7833CIri/aKRu8FML2k3mJctWaJ9yQEzxxIQhtm5Yd0GquUajZl+y4C5W1A39REzvjBlK5jr1NV0KvYB5hAPmBmT7CPFDzCTu+8GMz2eCR7zgXmbpgrSBQsw01mNgDAaviBjFmPImA0wk94GrCkug7aM7HELNP+6ibbiZHFnA8JUXPaHlUC5lECp4Ny08VeajmLAjA9WwTzeB2bjwwM4BswUtKhdvYZU+qyiA+a1G9SUjQ+PfOfAzkFO959N29SvDFBbtSgE5u49tBoYGosxN9IQgBQXU1yEyY9J8KP3PxCCcUwKFn488keBMQE2RHkDe3rjDhsyRMHFBK/ApA70VGcRgm/PaMxolgrmQy4w79mrud1Mkn5g7t3Hm6MLSIAPcAOiuAR8YJ6tYN6+7Tt/jVnBvNirMZOnDNgLg5nyomj8JgLbAfNIadG0mZb5pDQlAMfvSj4s5mv2MZkDZrRo4E4qFloiWhULnz69emt+MYAiIpx7J6q6CJhH+DRmTMWYg7t17arQ8IJ5lwfMU31gBn6k9wBmUu6QhwPm+Sq3s6fPaHlYTOyU3UTzUzB7cuox05PvjC/c+JNPHD+haVWYve/ecfoX8z0Kb5D69vDBA70OPllaUOJqcIOZcxHlbcBMLjFwrle7jgZsMYYYX5MmTlUfM61NCd5i37z5i4Se4ozFadN8GnNIcIhqzG4wU2iHgDDanxpTNmBmvDLuHY3ZATMV9FigAmYWBvyJhQjZmYRk4TwAACAASURBVAUi5XEpzELN7dmeiHRkjxaNH56UPHz1vHf88FZzLpfzsr0pK4HS5TkDrVdxjsZMcA1gJpiGtA0mWANmo6GhMQNmokQ//fAjDczCpIcPDzDXqVlbI1xpy8fkQys+Jig0XpoMOBrzWg3+atyosZoS2UdAGBoNPkACvpgg+aBFE3iGBgKY+S651eQ5k0JFswHAvHHTVp1E//HXv2nJSS+Yo6O1dSJ+YgNmNFeCbQDz94ccs7FqzHv2KJjxP7vBTOAYgVUUzzBgxg+oYP7RBeZZxYOZWtlorT6N2YB5sja2QM4AF5M7fl7AzaZgjhypNbWpv81kTFlKIETZVcDM+3CDGf82PuVKn33mN2lj6kXzLA7MtJfEgkJanTFlA+bly5bpM3671qcxY3YO6dpVtTmjMZ8+FaXlUVlUeMH87JlW8sLvbcCM9kcjElwoBswA89gRwNxbFwIGzNQTJ98Zs7fRmPfs2qW1pnkf3DNyc8A8ThcACua8PK39jrwpQ+sGMx2tWLyh5frAPEXBDHRN8JeCuXkhMK9w+pID4eFDI3VsojH/KphbecC8fJWOWYIgabbhgHme7uN3hGhuTPZHvz+i7zwpMUnzvwEzqYBAmHdBWhVgXjDPB2bM/UFduvi9ZzeoGd92sxKwEnhzEiiV5kxAGBsRu4CZVBovmD0+PHrjGo0ZHx4dmDDBEflKtLWCefhIBTMRrm4w03S+TcvW3iYDK1et1ZxQfMRozMAWUzb9nOt/QXSuE1wDmIcMGeaAuY0PzBRtoNoSYMZc6IDZ0UDwZbNgcIOZSQ0wU6ACjRmQkausYPb4cwEz/lNaSeLPM2A+ffq0QoNmA9SB9oJ5pANmGkUACPy6TKRYFnZ859OY8Qd6wZyYqJq0asxorZN9YKbKF12HiCr3gvnBQxmlYG6u2pED5hsa1Uxt6e3fbXc05oQE+W6rozEDZiZzUr6wKLgnamSwc/sOR2Oe7NOYH9y/XzyYly6TkOBgNZ8ajXn3TsAcrFYIA2ZyysmTR5Nn4YBmTg1rtDw6Vp09fVrlCZjxkeIaAMzcJ2BGRhQiwazrA/MxBTNmbwNmwErxGXKWvWB+9EijmDHZ8364tpqDFy3SeuSAmXeG+Zfob1pJGgsN42vihCkaq0B3KC+Y5y1SgDoa8yyF8HIFczfVjglI5FjAPKCfozH36uGvMRM8phqzC8xkGxQGM8GTjGUCwtj43SJTQsE82wEzqWFYBXDdULbUaMymgAxjzv2e3X+3cFax2h9WAm9MAqWGMxG7gJnAIDQRgGOCawjCUTBnZOjkQTpKu9ZtNIKZ4glz5y7UqFeKhqAZMJHhY6ZHLvBkoqKdnmrMK9dqe0dKIbrBjHn6vf/5X9WY+Z4D5uGaKkXHK6Mxj/OAme8CfcCMBsS5WAAAZyqEGWACQHKR8UH7wLxSwXzk8Pf6wmgvuXf3bgUMOc5uMGM6NRO/ATP1pgEU+eDmOvTWdcC83WvKVjAPQmNeosAAEL8KZk8AFj5oNvzP+JhbNmuu1cQAM8Dj2pU/r6jnRGNmEbJh/Xo1ZQNoM3Fj1ahVrbpgRWCyrlG1mrawpNkF6U7GlG3ATClWP4156dIiYAaOCuZp09WagjxOnXTAjLbvD+Z5uighOAx5OmDeoIsk/PkGzFS4QotmTBkwE7iGPxlN2oCZ/O8aVapKky8be/Ol6ZE9dsw3eh03mIEbJn03mIn+ZhyTUobmTGyEF8zduuu/GXPz5i3UMUTWwPRpPjDjI1aNedhIB8zfbpQB/QbqPrqsuU3ZjEPSBClMwlhGYyZXmhras2Z5NOaVazSrgeI7mMKBM2BWU3btL7SeODLCBUDUNp3WcBfovtRUOXTwkL5ztGgsGW4gu/9u4fzG5mR7YSsBlUCp4EzhCgXzpMl+YGa1TooMYAYOTB5oN+0VzGt0oiAgjI5RtGykMhdwplwnKVD46/7193+oP5hiIezDD036FZMSecrsI4AGbZdJxexjP6lSaDndgkP0e717hWvADd8DzkRr871ePfto0RLOy2KAc5HuhS8XU64bzHSQYsIyJkSea88uD5jXrVOwAhMmdsypCuY7d7waMz2NQwuBmbKKCubt/mDmWIKR0OQMmDGFA0daQQJ2rYvtATMAYsNPSwBXx3bt/cCMn5HSjlg2MHejrRMcFBYSKrSzNGDGJ4vPnYAwztGkcWOtNkYeMelOBsy0l8Sl4QfmFy9k2dKl6qfFtG80ZvJpeW6iuHFzOGA+qQuakcMB8w2vxjx/3jzNbXaDma5eLJIKg7mfgnmFt9gNMqC8KV29DHBZsIR2C9EiLGjcvLMLFy5oERY0a6LmjcaMPLQv+enTXo0Z0z/jeNvWrZKbk6s+Z3os165eSz5+/0O14jCO0GJbNHVyhvmTf7Of8U1hGzRcs48UKo6l1SMBjexnHNJKUlP/ugTpPsY9uc3sI7DMOT5cYf3phx9rtDgadc2q1XThwKKEKH8HzE7+N3EFBGxSaIUiKqTGsUjC0sKCxgaEWQpYCZRfCZQKzi2bNlMTK2UaVWPW4JpxmnriBjP+RwpfkErD5IFJkiAlNFX8isCcJvCYQlnpY36kcAL78NeyjxQsujSxD1BV/uxz9aOxDxDzfdJKaC7P//M9UmMw4xLUxKTk7Jug1aDIhaVFJLm/7KfONNciIIqIZSqboTETYIMpXsF8xPHtecHcPUxocAFAvWDu0VM1E3yYRmPGH0uThaiTp7waM52uADPmYo4njxmN2QHzUn8wjxwlU6dMEapu+cBsGlb4wLx86TL1n1IulHtEY543d650aNtOZs2Y6QUziwLgS5oQwXx899iRI6phcQ6imPk+GiNpUYDZVP4i0lvBPNKnMaOFs1BDlpj2FcypqZpPy3NTKcwL5h8NmEf4wBwTo4FKLPT8wbxeF0luMDOuAA6LJa7DBoQZR7w7Fg4AF0sDYMavun+fIw8C5YAtz8XfGYf48unmReAYrgjeGe9j+7ZtmuqFVYHvsTVv0lTHV+TwEc6YHTdey5AyvoirIEOBD1YG3DaMR/7N+EaOjHfGLfXH2T/um28koEMHHd+USGUf45l7YczrmNXjnbGJtYl74Ht8cAfQfQvXAEGIRjsm/5uqcGQdkI8PmHEL4E6iIBALUJ6JlD+3tuz+u9Wc9ZXbH1YCb0wCpYIzk4MBhqlERHSuF8yJiQoA4KCTR0qKTgr4H9GiCSQyJROZVDG9ck5MpkCIEqCk9DBZ0ZmISZeJk4hdfIBoZXyPifDI90d04kUDwmzLRg1oFgFoiAQbAVsgw3fZj4aL9sR+JiyC2WhCQZMLBbNH46cjEoFHbIAMcyD5uLSE5H7oZ43GzH3iJ3aDmZQdon7xr3KvXAfwoeXhy1Qwp6c7YB44SOXl1piRCb5vI2fKSQJHJnvTSQqNGagSbQ3gmXifxTzTQibIfuH8+QpcfOeABTCTagNUeR6OwfTJIgowI2dScL6oUVOv7QOzc23gYkzZDpiXOGD+1gdmno3nJlDNgBlNDZAgE6Mx0/WJPtho7F4wJyfroodFkh+YDxkwr3SB+aL6p6d7or+RMQ02ADMQ5posnNCCO3UM0DEChGkSApiRDU1auDZy430AZFK9ALQBMzECBIlhDiYdjA3TOX5wrnP16lXdx2KHSHaKvXDvbMiY4itkN7Ag4n64T8qrkiZGPQB+D9iHS4iOXuw3Y5bfA45DdqSCsVGBjoUdsQ4EynHfwJkIbMBMqhxWEt4PVos2rVrLN6PHqOWFZyJOBPO/G8juv1s4q5jtDyuBNyaBUsHZ+E4BM6Zg4MREz2SExok21bFtO1m3Zq36DplA8D+iRWNaM5WZADOTCUFN/J1JigkJEy0Tpx+YN26U4C6BAuCBCBtwDurUWStnGTBT0QotIyw0VFOXgC0gZjIFzGrWvH3bAXNMjGrZ2rbRBWaAp2D21KDOBMw7d2nHKsytPA8fJnZKcgJMTL9GY+bfmo5zKsoH5ukztB8zCwuOJaCMxQJaOxOwH5gjPWD2+PIBM9DkvFcuXdZnd8C8VMHMAqIomBd4wYzZltxXopF/C8xonQCHydsNZq5dGMz4fPGvk0NtNOad27frc5Pa5QXzDw6YsSK4wYxmz8LAH8zrVPt0g5na4NTUps2k0ZiBMIFjLPIIMmPcYLZG5mjIBsykiVWtVEk6d+yo10HumHUBLffuBrMx/Zp0NoRMuhtgBuQAkA3TOdouPmovmOPiNPYCMKOVsjFmSLsDzKSWucFMCVcsNgbMFOxBI+a8pNsxZrlPfo8AMz51NsYMMmYfC1Weh/vasnmLui/cYEY7r1ihgtZdZ4FnwIx1CYi7gez+u4Wzitr+sBJ4YxIoFZyJ1uYXnvKNBPYwyQFHAIPPFA0NMydBPUwgaFMd2rQVJm0vmO/dUzCjTRkwM/liegUObjDjH2XSRXM1YEaTwDy9eOEiXRQgSfYxQTLBUCbTgJmJGJ8zfzK5sh/NDc0FU6TRVPCRA0rATPUsNp6LhQXnxETI8/DhmZlk6QzEIsWAGXkomKOinOtER+uCpEvHAD0Pk6QD5u91MmbiZkHDOYEjEyxVn0yQnYJ5ylQHzJddYF7iAfNRH5jpZawa8wIHzDwPiyH8n5jNvWD+3tGYubbRmE3gGXno+KrZ8G/7wOz0Y+YcgBlTNP5crgEgCKDiuZGHATPRwYCEZ/ID85y5ano1YMb8Sv1n5OkH5oOAua9GyvvAfEHBbEzmCubzDpjReg2YkV/9OnX02Vk4Il+Ax7ORVuUGM+Zg/OMmap5n594BM13WDJhJi0Oz5XlY8LHR1APLC0U+DuxzWoUyZoh+Jxht5bLlPjBf9ZUOpbQp9w6YGYcs0txgJihQwXz8hF6HMUPbz15hYVqMhedxwLxZwYylhaBArs17+ft770nzJk10HHnB7Om3TZqbG8juv1s4q7jtDyuBNyaBUsGZyQw/H5ocZjJ++QEzmllAYTBv94B5xkx56SmZyKRP8BGTnLbly8tTrQh/LJG4gNn4ANFUmXQJwmIfG+BkH8A1pkYmfyKVMTubiZM/ATK5rwbMTIj4lbXtZY8eXjAnJyXrwkLB7DEhKph37FRYGxOiAfOAfv01QhZN34AZ0zyAOhN12rsAACKAGc3bDWYm+SJgHhGp+dVuMANq1ZhdYEajcupiO2BG9rgPqF0OTAAu0CRNqtnXX0vbVq0UWphzWWiwIKEcKGUtWewYMFO5C78/AHO09anqx7940QPm58+FkpyYogmQw1KiYP7OgHmmH5gxvRI85gWz1g6fowVT/MH8reZh79u7T6ONkdOhgwcVzEDOlIe9cN4DZo9mzrvEhMtiDj+tG8wUa/n0o49VcwTKBNThFjB5zFyDd7l182Z9ZywucFOw4Rbhe0Rxs8BkYyzxzrAgxD57pvsALPENWGpMO0bGDFq+gnn5Cj8ws9DAdO0GMxoufnOzmOReqbxHgRHug80B83c6trlf7htNnMUo/mQF86NHCmasWsQ01KpeXQPaeEdEyLOY+mbUaJUXcnID2f13C2cVuf1hJfDGJFAqOAMBNF43mEnpYD+pRSnJyTqBMOGhydHNCY0LjdUB8wgZM3Kkghk4oBWhcRHw4wYzQVc0hiBtyYAZEy5gRsMlIIz9+IoxWzNxot2wMZniW0aTJv0GPyGTOf5XNBKimCmuwT2hubGwwEeNWZyNSRbfHvuMCZFJEb8lPlEiZP3APHSoA+bTPjBjdu3cMUAohOEH5v4DVPsEoJwTMy3yxH9q8sWBIz5n9lM2kw1TNpYJTLp+dbE9naQAtAEzkcZdOnVSGTAZA+bNGzfpxI3Fg8htZM+1mbS5NtfELw5EADX7ATffA+RE3hcF83cejdkHZspnImM3mLkemj0LGJPHjNyxsAA9+jqTBoScaL05ILyvFn3xgfm8PrfRzA2Y0TqN9QZgYdGhWxYLNVwuCuaHD1WOuDW+P/y9Qhi5b9m0SSHMe+ZYth+On5CwbiG6eDFgBpwUcUEegJkxo2AeN15dJabxCecgYO3rRl9qwR3+zXf5PWFso2FzHPuwLtCRDIsGY5V9LLJYNAFmmqGwZaSnC6Z2Fp0sig2YgTDjkN8tFh5ZmZly8uRJjQEgiJL3D5gZzwRcmmpvyI3ofDeQ3X+3cFax2x9WAm9MAqWCM9qVP5gXSScF8zoFHRMIgTj4ncnn9YL57l2dJPF7oTErmF+9UtMrQHCDmW46aEMU+iCdhQ3zJGBesXSZahN/f++veh9o22gg+PDYmOzwgwPmo56ALkAAmPG/kmrCpMWEyH4mRCDMxMzGpIpvj0l6yyZHU+GZADP3SUtHN5jxnaIxUweac2IyxxysYN692w/MmG4xCxswXwLMwwHzNG9NcgXz5KJgxtTJZI7GxKKEyRw5s890ksJEbsAM2G/fuq1gpbpZ54AABZcpa0lwF++Ca7NoYgPOdWrW8gMzwEfL5zlNbAEaM9fuHtxNAWFM2Wh7gJmFktGYFcyz5yhEqfyFfB0wr1XTfhEw9+0na1et9mrM539ywIxl5ekTx8dMGU4i9VkAkPqGPBwwj5KWzZvrQgSrCs1Yhg8dJi2aNZNtW7cpsHiXLFR4v7hcuB82xgT7WKh5wXzzpprbAakXzBT5GDtOFwBo+Gycg+h+wEzBGv7NWOD3hPGJpQkTOPuQFZq9gtnjZuFdoqkDYUzqbMCV4DSAyfstDGZ84Sw+uNbJH0/qGAwJ7iY//fSTWjSwRPA7xPG8a8AMyBlvbiC7/27hrKK3P6wE3pgESgVngnTQcNDG8PmyUt+wzgXmbR4wz5rtBTMBU0QMMyn5gXnadE2bOX/+vE6wTDRo3/gA6fnLddjQfgEzYMPMx0ZAGCBgosSXzQaYATBgPubxGzOBoU0RxAOYjbmQCZj7VzB7NBWuj28Ps6YxISqYo6K0IAYRxpwvz1MrG3NhETBPmSqdO3TUhYVbY6bBApqVATNaK8FwaNimWQiQpBAKZn8KvbChMSuYBxYC8zZPi0dPlS8vmAM66fEGzGjbBAEhA96DozFfUIBi6jVgJgiMgDn8+0ZjBsxEcxcB8zYD5lleU/avg3m2PqcbzPg9CYDyA/P+/aoN0ljE1G1nwYalAA3RdDqj2hepR5hzf7nugBnosCDg/WLpSEtN1WYs4b37qNmZSGxgx7vctHGjvnOC87IyHTCz4GEcICsWDmzEIuACYOFHehpgZQHItVs1by78HrAxZli8fNWwkbeHtwEzJncK9RgwE8DGggi3hIl/AMy4IwAzVg427pV7Bpa4J9xgZoFIYxAfmH9UCDMOWciwcCI+A6sVY55xZsDMWGv21dcWzipl+8NKoPxJoFRwJiDMAfNChRDmZyY0JhAiZNGYSYV68dwxZZNiBITQPgCB0ZiZKIiUdoOZQhZMMgQGecF8+Hs1b69cscLrY0ZbItCJiRJfNhsBNUxmgJnJlo0JjAXBX/7nfz1gdrQSwGwKchhNhUnWaIPGhMg9kC6F2ZwoXwVzXp76CIcOjtB7PXf2rE7cz2Ji1BStYN6zx6sxY0rFBEkVLgNmNObIYcOKgnnSZPWHo3GxOWBerH5JNDujMSNngohM+U0F85atarYG7Jj3eR8ACE0Y8BQHZhZKbPwf/m0CwoiW5x39Opi3eTRmH5i5N9WYR/lrzHS4QlPDqoB8GSfkvXPvgJn3gIzJ0UZGfmA+54AZ64sfmL8Zq4DDEoI8ADOgbtWihVo6gBOfQQMGaiMPKqKxoFMwb9igMQT43nFdsOEiQD64Srg/wIrWz9hk4cd7NWAG1K2bt9D66uzjmYgBAMxEZ/NvA2bcKqRXsdBgH2BG0yftzoCZ8YAG7ID5pN4Pkd68V+6J98x94w/HlI15HJDz+8e1gDlpjArm8+f1vV25fEUrplFXm3gBA2YsJCwm582eY+GskrY/rATKnwRKBWdMeYANsy0TnxfMW7dqpDa//PgomZAUzMOGq/ZhwMxkxUSBiRcwMzkz0eAzRWMlHYV8VDZyp/E7AzYT/MWkjEZCQNjz2Fj9HqZzNGaCcwAFGxoJ2iL1ldGoaNHIPeH3w8wYHBio6TJ8lwkQ3x6TnDEhGjAT3btwnmNCBFr4IJlg+e65s+f0nOQXU7QDMBuNHyBw/1QdI0iIiZjnQiul4YNWz/K010Q2aFgEqrnBjC+fgKHiweyU32QyB24UxADMTPw8D4sO0tfQmsm3NvsAI9q5P5in6CKGVCoCwhTMS5dpVDWFStDkAB6wwJQNME2tbANmfLKmJCf/R+1wTOteMCclad4vz+MH5n0OmIG20ZhZAKIxcw4vmO/fl3HfjFWTuwEz7gXM261bttQOXAbM1JSm8htwZRywnxxv0vHcYMb/6oB5mT+Y+/bT9CYDZiwzLC7btGip75RxxJjFogGYGbv8m433h1sFGXvBHB2t75YFHfEPHM94YMEHmAEvGwsGxh/mdZPWxXvDn8wCEdM3YGZRQtMZxiAfguUYmyzKCH6sXqWqRtDreL15U0u7YqmgopoNCFNR2x9WAuVSAqWCc/du3RTMRFLTbYrJgwmFSO15c+bqxM7kwyREABDaLX5UJgoF85SpGgRkqjUxqVGsgQmJSZvzsWE2BMz48AyY6RLF5ANcTUAYYAYCaBXGZM2EjDZFXWnMmExIBsxocmiIRrvmekAH/xymRP5twMy10GyYEHXyu3VLfYVMiACEc2LyREPCvL/fo/EbMNM8gvtHTgbMVHAixQnfI1oNYCZIS8H888/67Cw6DJh5Jj+NecBAvV+AA5h5DhYLmH7v3L7jhTDNR/ig+fNMgAiAA2cWTWz4n1lUYF1g4mbRhCzRIrlPjvGCeasHzLN+G8w8F9p3ETCvXqOyI+XIaMy8b8z9wK0wmLG+GHM/BWrQWull7QYz/n803J07diqAkQnAo0wsix3eG/uAPPvwNfM8bMQjAGYC3QAl75LgQhZTRFX7gXn0GF3kUF+dd+aAebGCed2333rHLLnPwJZgPjeYKVk6NCJC5c51uB4uEr7LwokNMGOxYYGKa4V3xgcws0BcvHCRLjQYC2Qc8H5odGIKwwBm7p3qYfjSGa98D6hj4jYtRS2cVdz2h5VAuZRAqeBMaUx/MG9RMDPZoHEx+aC9AWY0F3yZBsxMWqzg/cC8erVOkkzaTEZs9KkFlgQyMbmyXb92TX2iUyZNVl82Zm0qbzHxEU1rIrWZ+EjTomQilZPYuCf8fiOGDVetAvM1G9fDhMgiwGgqBsyYJY0J0YAZsAHm8+d+8oKZqGAC4gANxxJha8pNkgrkBjPRzkXAPGGigpm+2GwK5oWLJGLgQF1suMFMZDP36QYzkz4wRfY8zw+0BezcRbqHhKiWzj4gS3UyTM8m+rswmHlGAsIa1KlbDJi36nMDOa/GfMwxZQN2/LMcb8DMQsNPY1692gHzfheY9wLm/n5gxhKBZj139hwvmMmDp/wkmqsbzETM8z5OnTqlYEMmaP0UXKHDFXJnH/2NqXpG4J8ZS6SCAWaCuLxg/uUXhRu1yAnqY8zgMuH5SFki7sGAmXMR/EXgohmzgBm3CpHvRJlzPOOT34OhEUPUdcD7xdLEvfcM7S60zmQj2pqxilWCYETOyYdALxaIXI8FpxvMpHFh0texefu2xkRQaxs3CvsAMxYmItd5/2xYjViAuYPA3H+3AWEqJvvDSuCNSaBUcMbHxoTG5MGEgsZsTKFeMA8dpmZBL5jj4lRDY+J1g1l7JIeEqlnWTHKYzQEz/kczmVIrGFii5ZnobwLCMBMyQbvBjMZGYw2iltmYqJjIiNqtXrmKmvvYD0jR+Ak0MwUoDJgxSy5esFAnRJ38bt2SwQMGOGD+6bxOvETvovECZhYWCuaMDAUzEbo8GxMx+zFlD4uI0LKWwI1JHrMy6TWAjCYFbIAZDYkFDGZpJmP8yWj0LEBYVCATozHz/FQ0w42A/ABzYOfO0j0kVC5duqQaHlAhzY1nMkFmaM401EATRWPmGYE7PklM4f4aswPmuQrmaL0ntHVAD7jw9XM8YAaEhcGMHAiAwvRuNGZiCgAzMQZGY8Z3z/gAXEZjBsx0kgLOBsyk3uE64btonWicyISqY4AZSwfjk2sBotqAefFi71hCHoDZBOcxZolhINAKbdsNZoK36KgGzHlnXAvTMmAm1sKYslnwsBgiwI77UzDHxGggHTI1FdcYD1gEFMxRHjBnZamvnEUfGi/vkQ8aLmOe6HE3mFngURee6HTkzkK4b59w9TNTdY59PA9aOWA2FiLAzFghB9sNZPffLZz119D+sBJ4YxIoFZwx5zJ5EM0MmDEjGo0ZSGJuA4ZuMON/I3XEDWbTI5kCDmaSO3TggILZNMtAQgrmHj0199b4svkTzRlN0g1mcl5pFICZmo0JFRMr/ulqlavo5Md+B8xbNDJZC1BkZyt0MAEzqRkTIhMdEeCD+vdXMHP/TLwEaqFhAT3u3w1mTJAEB7nBDETJ0SWtyAvm8Q6YsQiwPY99rhN/UTBvVf88Cwg3mDFlE0ntBfOJH9RsDZgBLhsFKMjvxZxtyk06YJ7sgPnyZS+YWXTVrV1bTbJqyk5J0QUO0CgK5jA93g/MM2epxcJozAASy0ERMO8xYP7WB+YzBsxzfWC+d0+1ZczZbjADN8aSH5jnzHHAvGCBgplnx0Lx0fsfaHyEWeRhlgbMGgOQmKjvEpDhfsA1YcDMApDob2rBkz7GOADMxFoANyxHZsxeuXJF84spOGMqmXEeFmOAFLcFG4sFxiIApAgLG+cg35rFKL5wxpEBM4spfNoszlRjvnFDTeMs6ChUo2CmznfvPgpm7pON/yNIjEBAE3/hgHmpBt3hZnID2f13C2cVof1hJfDGJFAqOKNVrV61SktyEihlwBwVFaUaH5OHATNRwNQRZoI2YGaSAn5MkhScMJMc5TG7BQapNsV32NBySAdBIzFgxlyHKRfgEpzFBggIsgLMxmQNBDE5hQ9z9AAAIABJREFUUymKPsVMfmxMfpxPu0O5NBUgHRbiFKBAU2GiBDRoVADq4nknV5SqVJjNWZhw/3wPENMQg1QkFhb8G7/zsWPH1DxtwGzMkgRPoWGSh8tG/q4x+aMx8T20aMzVaJjcG+lBPCdpMsCJ9B0gwvOgZQNgB8xOmU+0dYL20J5MRDrvgHcBeCjCwgTPu5oxfbqCBC0RKwiyZoEBNIAhiwqATe4sskDjNmAmDoDFGDI5d+asvk++v3jRIj9TNvJg0dS/T7gWHzEaM+/Y5I8bjZkUKt7n+G/GesFMChUmY+6/MJjrfVFHwYl82FatXCkVPv5Yo7qJsGcDyJj7WRTyfllkoVUaiwwmaMYMJnpM0WpBOHJUZcR50cIBM+VkATUb1gBkRGlaA2bcE1hzSD/DOsJ1gCNjEfgxptg4B3EFuFRMBTn2ISMWiKR1AWbeL4tG3nlhMLMQpAKeMVsT/8CCtVqlyl6XDpYaLA9AnOfl4way++8Wzvpq7A8rgTcmgVLBGQgQDfrJBx9Kz+7dFTIEX1F1i5Z3/D8aLPuYuOjbTF7osCFDdR8TFxD9omYtNUvzPT41q1XXfrfAiEAX9tFbmGb3ep3ISN3HBItJm0kFEzbfw+RLre2P/v2+/pt9wI9jCRz721/+4t3PpP/BP/8ln39aQSdQvovJu0HduvLBv/4l/fr00e86E3Qb7Sf99ZeNdR/XCwvtLu//819Sq1p1tRJwPM9Ut1ZtbS1IUA77WEC0bNZMKnz0scqBfaSUERFNG0HkxT4+1Eyu+GkFaVS/voKBffgLa1arpnLh+djHn40bNpKqFSvpooV9PE+bli31WUkjYx8fapwjk/p16ip42UdgEDIC2NwL+6ggVfnzz6Vxw4ZCS000bSZy/LTcU0jXrvo9tECCjXifAe3ba4rU6JGj9H3TspPjMOGyj0I11SpX1tadvE/2IQ/upUaVqgpE9vEBLp998qnKiHfGPsBorsPzsQ+zMXLjGYcMjtB9EYMG6z3yPtF+zTmJN6ClI8FV5pw848cffOh8T8fXKD0Xfb05t/le18BAfecEkDkyGqWLTsY27xIriLkOMsOCAySdfSN10UdtaxpumH0sPpA77STNscCb3wPeJdYm9rMPGfHsNPxgH+OwbevWejz3xj7ulVadFOLh94bFFh/80/xuIE8sK+xDA+feMflzLo5zA9n9dwvnNzYn2wtbCagESgVn9y+z/fv//dWJzsrGyubPNgYsnC0hrATerAQsnP+PBcefDRz2fst+zFo4v9mJ2V7dSsDC2cLZavx2DBQZAxbOFg5WAm9WAhbOdmIuMjFbzbTsNdPyLmML5zc7MdurWwn8LpyjTp6SL+s3sBO4hbgdA+/IGCDo8XSUk+Jlp0grASuBNyOB34UztxV1Kkqjbcv7at/en9X47Bgo3RgAzCb3+s1MSfaqVgJWAkjgD8GZL5JfSWej8vghTYhSlq/73qjS9K5+eoSGahrUu/r87+pzm9xrOz1aCVgJvFkJ/GE4v9nb/O2rk89JsQ67vT4JUFubIiR2sxKwErASsBL470vAwvm/L/M/xRUtnP8Ur8nepJWAlcBbKgEL57f0xZb2sSycSytBe7yVgJWAlUDJJWDhXHLZvdVHWji/1a/XPpyVgJVAOZeAhXM5f0Fv6vYsnN+U5O11rQSsBKwE/oNo7fIsLBsQ9vrfjoXz65epPaOVgJWAlcAflYDVnP+opN6x71k4v2Mv3D6ulYCVQLmSgIVzuXod5edmLJzLz7uwd2IlYCXw7knAwvnde+d/6IktnP+QmOyXrASsBKwEykQCFs5lItY//0ktnP/879A+gZWAlcCfVwIWzn/ed1emd27hXKbitSe3ErASsBL4TQlYOP+meN7d/7RwfnffvX1yKwErgTcvAQvnN/8OyuUdWDiXy9dib8pKwErgHZGAhfM78qL/08e0cP5PJWa/byVgJWAl8PokYOH8+mT5Vp3Jwvmtep32YawErAT+ZBKwcP6TvbD/1u1aOP+3JG2vYyVgJWAlUFQCFs5FZWL3iIiFsx0GVgJWAlYCb04CFs5vTvbl+soWzuX69dibsxKwEnjLJWDh/Ja/4JI+noVzSSVnj7MSsBJ4uyWQJ2mPT8qaMX2kY+O2Ej52nZy8Gy+ZBa/3qS2cX68835qzWTi/Na/SPoiVQAklUCB5Ga/kl+8mS6egJXIuIa+E5ynDwzJj5OLWBTJ26FzZdztZpCBTEmKeysN7zyXNC8sCyYm9JFs2bZJlu4/JoZWTJKzRl/JVcZ/QibL65CPJ+K1bznokx+YslsWzt8jxM0dkw4RpsnLLKXmY+nrlY+H8Wy/hHf4/C+d3+OXbR7cS8EigID9XMuJj5N69F5Ka66Vd+ZFPxiP5cfFICWk/TNZdeSkJtw7JosgRMnpBlMTkm9vMlGdn18vMGVNl+alHkvgyRh7cvCm3vJ+rcmbHPOnXopk06TFPDtxOkN/EbEGWJD+Pk/j4NMnOfSan5s6SVd8ekTvJeZIfEyULVu2RfVdiJctcvoR/WjiXUHBv+2EWzm/7G7bPZyXwFkigEJxfXtkmE0JDpfekY/LUwDnnmZxbMV+mj1wpUc8KI7NAcl5eka3je0nL9hGy4PBtScoxB/6efPIk9eExWb3oW9l16oEk5xVI/qNDMmrqt7L+9JPf1r5/79QiYuH8B4T0Ln7FwvldfOt/7mcuSLkhu6ZMl/mrj8ilqO9k8uBJMn/HFYnNzJeClGi5dniZDOraVhrVqSP16zSSgCFzZfelaEnJZjIukKwXv8ihJUMksGUjqV+ni4ycNE4GdAySoSt+kIcJsXJxeYR0jfxWoh4nSo6KKl7OL+ovnSM3yE8xKZLLWRLuy9nvpktQy6+lAdcJHC9rTt2XlGyji+VK/J0jsnxge2naoJ7Ur9NGhi7cJRei0yQ3v0Ak/geZ3KyDjNpzXzJzPZB4dVzGfdlWRh144nwn/bGcWztamtWtK/Xr1JX6jUfKmjOPJJ17KsiUB99FSKOw9XI96aEcGtNRWk84Ji9/hTf52clyb9co5zycy/v5Slq3nycno1/Ita3jpV3AQjmTkCVpLy/Llsgu0mX0Alk2Nljq16knX7foKqPXnZNnHqdrflayPDm3Tab3bSn16zSUVh0GysJ91+R5cU7ZvAxJvHdSvh3fW77i2vXbSPDAFXLk9kvVPAuykiX26n5ZOLqH8/91GkjLwIEyZ/clicGM7IXzIJm3ebMsHNBYPv3nv+TDjxpKj7Hr5HxstuTHXZEN8xfI2CVR8qyQ9l+Q9kCOLRwi7ZoEyYhVJ+VRco4USKrcO7RYxkaOkLGTxsrg0NY6Xtr3nSbbfnosKXqOAsl+dUW2r94gm/dflWfJj+XUvEgJq1NZPvnoM6lUpaY0Gb1GTtxPkpLaGyyc/9zzUZndvYVzmYnWnrgsJFCQJDe2T5aePUfLku07ZOXwUOnUd47su/ZScvJeyE9Lh0lo2AiZvyNKrt25LVeOr5GxnZpIk35L5NjdBMnNeiiHp/aSdkEjZPGeM3L9wiFZPKC11Pz3J9Jm6j65HfdUTk4JkLrBc+Tw3XgPnF/ID+PbSq3gBXLiUaLkZN6VXZGdpEXYVNn8wxW5fe+a/LhyhLRo0EPmHLsvydl5knFnuwz+upWEjVwrx36+JXfO75P5A1tL3aAlciY2XXKf75f+H1SVkPU3JN1ocM/3SO+/V5SQzfckJy9BfprdXqq3GiUbz9yU+/evytEZ3aVaxXD57hFaYb5kRR+QUV/WkaCVF+TpxaUSVKmZjD0WK8XyuSBfspOfy4P79/Vz//Y1ido6QTpWqC99lp6X58mxcn5ZH6lUfawcicuUlGenZXH7ivJZzZ4ye9cZuf7LeTm0ZLA0rd9Zxh+NlvycJHkctVL6ftVEAsZulZ+u/yQHl0dKpyYBMnDLjULaZI4kPvhRVkV2lYCIpXLo8g25dmqnzOvfU4LCl8nZF4ny9Nxmmdw9SPrM2iXnbtyRGxcOy9qxYdKmTW+ZfPC+ZHnhPFTWnHsgd48vlYiOHSVoyGa5+CxRMnJzJfnmPpk5a6pM3HvH//oFqfLg6BIZ3KKthIzaLBeep0uekjRJftk2XkLq1pe24XNle9QVuRa1RSZ2D5D2g5fI0XsvJe7KDpk6fb4s2nNFYpKzJL8gR9LjYuXJyTXSb/gsmbPtlNx6niBp3kXZfz7oLZz/c5m9E0dYOL8Tr/ktecg8SbmxS8aGDZBh83fL0Z1zpGe3CJm45aI8y0BjzZWMxBcS+/yVJGfkSH5BgeRnP5CDYzpLw04TZduVZ5J0c5v0b9VNhiw9IfcSsyU/L1NenFwgHet+8QfhnCDJV1dJpzqdZcy2KxKblisFki85KVdkdVADaTByp9xOeC4XFgVK9aaTZP/tl5KRXyAFeVmSeGmZtP+suYw9+FDSo/f+DpyjZW/PivLXRjPlXCK6OnB9KY8fPpeUHI+OlpcmD7cOlAqfhsrKS9fk0MhmUqHuRDn+0tH3f/Wl52dJ4o1tMqRBQ+n8zR65k5ItOWnPi8K5c22pHbJefknLkfz8DHlxfbuMalJfmk89Kc/jb8vBacFSp/5g2XQjWfLy8yQrNV5in8bI8+SsQlpkpry4tksmd2oibUbskrvpeZKfmykpcS/k2XPAmic5GcnyKjZWXiZlSG4B8oqXG/vmSO9WAdJvzWVJ9sLZ8TkXMWsXJMmtvUtk1rhZsutmsuv6WfLyynaZ1K29tOoxS/ZceyFqQFHhOHDu1ipURq87L7HZeZKfEy0/zu8vbQOGyaLtO2TZ8ECp+e8P5dPPqkitGq1lxNIjcich15q1Cw+uf7z3V8nNZaDa7XVJwML5dUnSnqfMJZAfIyenh0vL5oNl0c6dsmJwdwmJWCbH7iYJlmJny5Pkp9fl/I9H5PDhHbJ8ZLA0q/Qv+XuzcbL18mN5dHyGdGw2QhYfvSeJHhWz4MUJmdSimQT/Ic35hTzcN1IaVPpEPv60stSoVl1qVa8htapXls//8Z78rdNyufjsgqxuVVVqRO6WB0kuUCX9KOOqVpH2i89L4uM9vwPnbIn7aaF0+ehjqVK1ujQaslwOHT4h1/3AWyC5icdlzEf/koqD98mD6yul418/ka9X/fLrgU5ofjE/yNxO9aR+r5VyITZd8qRA8oqDc3B9qRf5vbxUwWZL4qPjMjeokTQed1SexF6RzUNayBdfTZMf4n5vTs6X7MR7cmJphLT4uILUaNJRes/YJD+cuyZPks2x+ZKV9Exunz8m3x/eK1uWjJfeX34m71dvK+GrLknS78C5IPmW7J01R8aP3y230oztwPEzbxkXJs3aDJT539+RZONC0GfywDlokMzYf0dSdV+iXF0/Urp0HSrzD9+Q2LjnEv34sTzWT7S8TEyTbNTu3AxJSEyV1EwWZ6XbrOZcOvm9tUcD54/f/0BqVKlqP39WGVStKjXe6Kea1Kj6ej4bN2z4jd+1LHlxepX0D+gv36w6KEc2TpLgkFGy4NBtScQ/WJAkd/fNlV4tO0vPyDmyZssO2Xt8j6zo11rqdZygcH5wZKq0bz5alv/wQJLNrBp/Sma0bCEhfxDO93cNk3o1wmXegUty5/FTiX7q+rxMkezsa7KycUWpOfaAPE3O9j3Py0MS8WlFaTHvrCQ83v07cC6Qgpw0eRVzS05tWy2r182U8CqfSqVKwTLrzHPHdF2QJ4knJ0nV95rJ+GPX5acFneXjj3rL+ntpvmv6/Q0A3pBtg5pKjXYTZf/dJHFcs78B51FHJU7PkSNJj3+Q+cFfKpwfx16WTRHNpc5XM+THeONn97uY/z8KciUrLU4eXjstBzcvldlj+0unyl9I6+6zZO/t5xJ383tZ1DdIWnccKvM2bJfdB3bJpkVjpHuLjn8AzgWSHX1Gls+fJ2PXX5FEz3stSH8qZ9eNkcAO3WT4qlPyJLUwSD1wDh4sMw/eFUdqifLzxtESGDxM5h+97/j3/Z/ktf/Lwvm1i/TtOGFKSoo8e/bMfv6sMoh5Js/e6CdGnsW8vk9aqqO//NpvV35WjEQtGy7B4ZNkzZ6tMic8ULqMWCUnH6VI/svTsqBHN+k5ep1E3XslaekZkpn8s2zo1UpqtRgrWy/HyKsraySkSZiM3XhBnmU4GlZBzGEZ3ayJBP4anPPuyJbABlKlw1w58She4s/Ok2bVm8qgjZflZXpxYIqTkxNaSKX2i+TMizQNION58h9uleCP68mg725L6tOiZu28nxfJF3/7TILV52xWDvmSm5UhGRkpEh99UuY2+kA+CN+n2mx+yiVZ0ra6NB5/RJ7c2ymDKteWsHU3JN1xqBYSYYHkZkTLydnBUr1WP1lxMVayvOaG/xTOxyT65S+y65sOUqvRGDkQ7VqAFLpq4X+SspWdmS6pSU/lyu550r91B+k9b5ccWjNeurUdLCujnkpKWoZkpD6R8xsmSKcv/ojmnCkxZ9fLrOmTZdmZWMdqoH7mpRLRsq2Ejt4iF19kuqwr5q4snI0kSv2nNWuXWoT2BFYCf3IJ5Et27GlZ3n+IjJu7Q07sXiR9Ow2SSRvPS8yrn2VjeBfpFDJT9l1/KVmZz+Xy1vHSvvYn8tcmwPmZZKZel00RHaRp8GTZfvmZpL26Iwdmh0mDCp9La4Xzc7m4pLs0rBUsU/Zel7iMOLm7a6q0q/qx/K01cE6U7ORLsiy4oVRrMVK2XomV9Nwcib+5Uya1aSYhS6MkNjVTEi8slo6Vv5LeM7+XeynZksu9RTaXTxuOlf0PkiUn6UcZX/EDqRS6Wq7GZUnuy8uydnBD+ef/+0S6AufcaDkc2VzqD1otl587AWBp9zZLr/f/KY2XXJecgky5u7G7fNJ4ihx/ekt2D24oVbpvkNvFLhZE8rMT5dbWYVK3UoCMPXBX0vyimf9TOB+XuKw4ubV/qrSr3EC6zj8j8dnJ8uTMtzK0U0cJmXJcYs3agtFWkClxNw/JwiGhEr7oqDxMypW8NEerDWoWJBP3XZBLW6dJj4aBMnHHTUnOSZGYC9/J+KB68o/KbYrRnF9J2r1jMnfwQOk+Zr/cS4mWs6RQDV8pp2NZKORJ2v3jsnBgiLQNmyV7rseJcdP7D34LZ395lOJfFs6lEJ491ErgbZFAfo5kJKdIalqmZGelS3JisqRm5Ehefqa8+HmnzAhqKvUqVJBKFZpKj+GTZFy/NlK7ei+Zu/+mxOfkSsbTi7J7/kBp1qCmVPy0tgSEBknTz2tJJ4VzpmTHXJDvpveUBrWqyucV6krwiDEysFVNqdBpnhOtXZAraQ9Oy8ZJoVK3RhWp9NlnUrFSkIyau1MuPk+RbALAcpPl3qn1MiGgntSo9LlU+rSudPtmqey9EitpRGcXpMnDH1dJZMvqUvmzz6VS1Z4ybe4gafSXCtJNNedcybh7VJaMaCufVfjc+c7HbWT4wsNyKw0/bYHkpifKy/g0ycnPlcykVxKXnFl8pDaBcnEnZUaVv8t7//NXef/DCno+rlv5s6pSr1G4rLv4oGhAGD7nYs3ax+WVRn/HqPY7sH1tqVihotSo00x6zdwhF56kFfJ5A/8XcufoChkW/JU+T6UKteTrFhGyZN9licnMktTYK7J7Wm9p+eknUvGzutKyw0AZOz5CujRuKUHDd8udhAeuIiQJkp/6UH5cNVLa16giXzVtKW0DI2X0ktPyXA0ZqXLv8Hzp1+AD+fvf/i2ffPKZ63kdWVau3lOmrD8hJ7aMl27WrF36mcHCufQytGewEnibJVCQly3pyYkSHxcncXEJkpyaJumpSZKQkCLpWbkOvPLzJDsjRRLjX0lcXLwkPT4ik5s3l24K5ywRTK8ZKZJg/j81TVKTEiQ+Od0JBkKA+bmSlZ4s8a84R5zEvUqStIxsySvwqYz5uVmSlhQvr/Re4iU5LVNyXCZn/f9Ez/+/Spa0jFRJjIuX5EyPqTw/RzJTE53z6zkSJTUz51cA/NtvtSA/W9JeIZOin1fxyZKRQ8R0isQnpDmLC10AJUhCarb3eka2iWmefQX5kpedIamJ8XreV/EJkoIMTDyW+5YKCiQvJ1NSkxM89/BKA6oysglHE1Fzd3qKJOr98X8pkpaWKsmJiZKUmiW5+s5SJTkp1ckLL8iTnMxUSYp/JfHxCZKYlKoLNI+jQvKy0iUlwfNuinnmuLgkSc3IluzMNElOTpF0z33ooiczVZKTU1373A/y+v9ufc6vX6b2jFYCVgJvgwT8AsIKV5Z6Gx7QPkN5loCFc3l+O/berASsBN6cBCyc35zs7ZVt+U47BqwErASsBIqVgKb5pEl6FoVLiv2G3WklUGYSsJpzmYnWnthKwErASsBKwEqgZBKwcC6Z3OxRVgJWAlYCVgJWAmUmAQvnMhOtPbGVgJWAlYCVgJVAySRg4VwyudmjrASsBKwErASsBMpMAhbOZSZae2IrASsBKwErASuBkknAwrlkcrNHWQlYCVgJWAlYCZSZBCycy0y09sRWAlYCVgJWAlYCJZOAhXPJ5GaPshKwErASsBKwEigzCVg4l5lo7YmtBKwErASsBKwESiYBC+eSyc0eZSVgJWAlYCVgJVBmErBwLjPR2hNbCVgJWAlYCVgJlEwCFs4lk5s9ykrASsBKwErASqDMJGDhXGaitSe2ErASsBKwErASKJkELJxLJjd7lJWAlYCVgJWAlUCZScDCucxEa09sJWAlYCVgJWAlUDIJWDiXTG72KCsBKwErASsBK4Eyk4CFc5mJ1p7YSsBKwErASsBKoGQSsHAumdzsUVYCVgJWAlYCVgJlJgEL5zITrT2xlYCVgJWAlYCVQMkkYOFcMrnZo6wErASsBKwErATKTAIWzmUmWntiKwErASsBKwErgZJJwMK5ZHKzR1kJWAlYCVgJWAmUmQQsnMtMtPbEVgJWAlYCVgJWAiWTgIVzyeRmj7ISsBKwErASsBIoMwlYOJeZaO2JrQSsBKwErASsBEomAQvnksnNHmUlYCVgJWAlYCVQZhKwcC4z0doTWwlYCVgJWAlYCZRMAhbOJZObPcpKwErASsBKwEqgzCRg4VxmorUnthKwErASsBKwEiiZBCycSyY3e5SVgJWAlYCVgJVAmUnAwrnMRGtPbCVgJWAlYCVgJVAyCVg4l0xu9igrASsBKwErASuBMpOAhXOZidae2ErASsBKwErASqBkErBwLpnc7FFWAlYCVgJWAlYCZSYBC+cyE609sZWAlYCVgJWAlUDJJGDhXDK52aOsBKwErASsBKwEykwCFs5lJlp7YisBKwErASsBK4GSScDCuWRys0dZCVgJWAlYCVgJlJkELJzLTLT2xFYCVgJWAlYCVgIlk4CFc8nkZo+yErASsBKwErASKDMJWDiXmWjtia0ErASsBKwErARKJgEL55LJzR5lJWAlYCVgJWAlUGYSsHAuM9HaE1sJWAlYCVgJWAmUTAIWziWTmz3KSsBKwErASsBKoMwkYOFcZqK1J7YSsBL4r0ggJ0meXP1Jfjh4UA4V9zn9izxJSJJXD6/K2Uu35GlipuS/rhvLTZQHZ2/I05hHcu3kD3LUe/1Dcuig63P+oSRm5UrB67ruGz9PvuRkvJIHl07L6Ztxkv3G7+ftuwEL57fvndonshJ4tySQ/lB+WDlLIsN6SC/vJ1SCWzWUqh98IhU7T5dd1+7LjcMrZNrCbXLyXrzkvBYJFUhu7BH5pt1E2fr9AVk5argMDOshPcPCPJ8QCWxSQz587yOpPmCr3IjPeH2Lgtdy/6U5SY4kPz0pC4MbSaNvjsmr0pzKHlusBCycixWL3WklYCXwZ5ZAXvoTObNmrAS26Smj1pyUh0llodtlS+z3k6VjxLdy8lFSIeAXSF7ybdk/ubs0bDxAFhy/J8nZr01fLwevxsK5rF+ChXNZS9ie30rASuC/K4HseLlzaLH0bx8gIeO3yPmnKZIn2RJ/76KcOveLPIpPl8xX9+XcqfNy8eplOXv8iBzYvVv2HDknN6ITJTPXGJ9zJSPhiVw/eVQO7dkje/edkiv3XkhqTp5jni6IlRNje8mwtafkUSH4F2TFysX1o6V1vbYyYOUZiUnNkQIpkKzY63LkyE9y/fZVOXVgv+zbvUf2Hr8iDxMyJN9ctjhpFaRLzMXj8uOtOMlOj5aLB47IhadpHjN5vmQmRMvtn76Xvdznnj2yb89JufYoXjILRAryU+XJT4fl0E835O6VH53/33dYon55JqnmWQvyJTf1hdy9/INzjn0H5eile/I8KcvzrPmSl/FKHv98Wg7s2Sv7Dx6S749slkkBDXyac36uZCc9kztXouQA97H/sBw7f1diU7Kdc+RlSuKTm3Lu5M/yOO6VRN+8JKfO3ZNX2b/14MUJ493YZ+H8brxn+5RWAu+IBLIl/vpOmdSlnbTtOVv2/PxcMvJ49Hg5vyRcWgaPlw3nn0jsuWXStXl7Ceg7XEZEDJFBPYOkdYsu0nfGHrn6LFVyJV+yXl6TvSsmy6DgMOkTFiah7UOl57D5svdqtKTm5EtB6nlZ0GaYrDl6VxLcgCnIkNioxdKjdkNpP2abXIlNE4eBefLy8BipVrGl9B4/USLD+8uAHp3l68aBMmz1OYnN/DWfdL5kPD0ik9q2kvDN5+XmoUnSsnInmX32hZrJC1Juy+7ZE2TM0L7Su0+49OsdIp0btpXgIcvk1PNMycu+J1u6VpAPm0bI7GkjpXfvXtIjoIU07zZFdt1OlgIBzNFycfNMGdI/TAJDe0l4nx4SNmSizFxxRO4lZUteVoI8+HGNjBnQWzp37Sn9+/WVgYN7S+vatRw4F+RKZtwdiVo/U0YOHyI9e/aWPr17S1i/cTJ74yl5nJIr/799O39q+s7jOP7HdHZ3OrtOt7NV2+rYYqutWmytBwqsUKmoINIi5ZDLA0RRFBE8UITKIQmHgoBSQYtYLFIRRVTkUG6C3JCEkJDnDhAqGFp7zWQKbML5AAAJNklEQVTWvH94T+A7+X4/3+/jm8nr+zmCrpvawgR8129nv6KQy4l7cd2wm+QKFVP5rOSD+tLLlHB+KZG8QQRE4P9DQM9Qazlpu92wX+vHyYKHU3plM4Sz7TJW+sTzfV03w9pWSqLdWLrEh9PFDfQbBnicHsKqjx3wTbpJ88AgXZW5RO+JIPFqDV2aEYbuJrL5i2hyxx4Afh6xHqGv/gpHNq5kueMB8h92oTVM9gxN4fzmQpwPXaamexiDtoGLPp/wb5swClsGTSE+XduoeUph6AY+coil5OE1IlcsYllAAa2m4xrbiznsGcLp681oAaOhh5o0P+a9tgC/wo7xcFZ88Ravv+1FUkU72tFhuu+dxXXuHD49WoHGoKWrMgm3hUvYeKKYxv4R9OoWfkoNZZ3NOnZ+10Bvy03it3zOJ4EZ3H+mRtdfT8lJLxa+MW88nJ/peqi/epxNy9bik1JBl86Arr+BG2eCcfh0C4dvtKHHgKbzPnnRPjhujEBxJYdTOzbyX/8UKjq1plGA6dduzf9JOFvz3ZdrF4FXSMAw9JTiOH/sV7oSaDbPPFM4byQoqYwW9ViyjtBx7RDrFrux73wVKs0T8r5ZzcIVoZyv6hgPvWlUxj7unvbmy6g8qlRq00IvI/q+B2QGOfKhrRfHrtXSpxvvtpt2nQxnF47dbEM93p3W0ZT1NbP/tZWk6h6Gfw75ydb0dP14mDWzlrOr6BEPznnx/jxvMusGpoeZUUN3cxNNjY001t7m8lFP3n9tDm45zRPhvGEOs5yUNI4/J4yi67/Dabu5vPVVHu3aLu4mujP3nUAKVJNL5fQMqX4kzvkDPgzMoar0FBvmfUZIUftEu6ManlVnEbBooufc3veE4tjNvPO2PSFxCrIyM8nKPEfikR04L12K/bFyBsYuaXSQlrI0dq5ajWuYgnzFAVxtnQhOraZ/8hlm8tKt/PWVCedzqako0xR/rhQKlFZa6QoFf66UpCustJRK0q24MpRK/nilk6F8edU8qvn1r+qRXuqvncLbyYlNYUpujc8zT91lpnD2IDStgvbhsVQw0HPzOA4fe0yEs/oxmZuW896aCPJm+qnQSA3KzduIulBJh3oigI3DndzN2IXdUge8E0ppnpxr/fk0JsPZg4Q7nabhdj2qS4HMmeXxC+E8TONFHxa9bk90eQ03I+2ZsyyCEtXznqZR08adgkQiI06hPH+e88kxBDstZ/bUcHaZyyz3i3SMn8souqEHpLjMGw/nVnUzhWGfMXtRHFX6yZM1oOm+S4rHR8x3judqdig277rwbbXa9IapC8KKaOl6RG7YGt74jy0untvx2e79vIIiiMl/zNDYnkYtqnu5HHRahcP2eHJzTrD9Mzu2HS5FZfZgMnku1vn6SoRzUEAgO3z9rLb8ff2wbPni72ul5eOLv5WWn48vf6588PP5bXW9uPhXvqGH6arKJWqrM+u9jprmmV/shv3OcNbUk+P5OTYr95J9X8XwtNaN6Fu/I8RhH+llTQyMDS8bNbTeiMd75ec4hWVOmWeeuuMfCWcw9lUQ77KS1TsuUFWVhfd7y3CNu03v+AoyA33lx3GcvxSn/Zn8UFHBnYqHNNw4zAe/MZzbNCrKYp2Zs2AfJX2TPf2JnvMJh/ew+VpJ+dVoVr+7lsjSLlOPXUdf4zWOOC5mya4i2nrqKIzazMJPQilona71XGCUkf4n3Di7B5e13xBzIY9z4R6sc43k0osjAc93stq/Xolwttq7JxcuAlYvYET37B6Zez1xtPcnbto881Sc3xnO2mfcPvkVy5du4UBuFZ3aEYa7HlOad5GC24+ovrCH9TuSKXnSywijaFtLOLrJjhVOkeQ/eDZlnnnqOfyxcB7r1fdVfovrR07sLarkxzg3bGx8yKgbW8ylozljC//4mzup9WOrt43oeuv4/pAj//xN4ZxPh15Ne0kMdvPXsPPiA7q1Bgy6LmqvnWbbx8txT7uHquEKkWuWYRd2mScDOvTaDqovRfPlBxPD2p2aTqpzwln94Sr8Uu/wbHiU0ZEhVLU/8X1+IeVjK8v1g7SUZxG+ZSvbY3Mpyj6G90YvDlyqZejFZ6mpbFb6t4Szld54uWwReDUENDQXxbLVdjGL13oRHptASnIKqVNLUUzV03punHhhtbbtrwxrD+sZqiskJtATN68wYk+e4dS+ALaud2e3Mptk780EJU3+hGqQmtRvWDLbhhUeYRw/c5bUlJTppSyncUBNe8FO5r/5e4a1TXfJ2MO9tChir9Qz1FPJuV0RpFR0MYoR7aM0PGztWB9yjJSUZBLOnGS/5woW/P0NVsVXo9HVofjFYe18VEYDw933yQ7byhdfB3PgRCJJCUfZG+DHNp/T/NCqRq9uoyJjP+4bfAk9Ek9yQgwRfl+y6J0FptXaOvobb5Ia4o7zFn/2x50l6UwcUSFBBPhFoKjqwajro7m8gMTYC9yqa6DysoITCcU0DE321l+NT+RfdRUSzn+VpBxHBETAAgJqWsqySTi4k+DAwJlrdyrXqup5eF1JXNIlyht76H9yg6TjCi791ET/+MKsUdQN10mIUVBQ2cqAabFWb1MF+ccjCQ8aO/YRUvPv0NTXSFliFj9UtTE4MtblG+Bx/ikO7QkmOCBw5gq9yP2uIXof5HJwr4LSpgFGxudYRxmozmH/HgVlbeoZV2u/FNXYz9OryewxtR0Sk03p7Ssk7Q4mPPcxan0nt5P2E5p2b2JRFkYMw+3cSjpIePr9iW1jAd35iOL0GMamCYN3hhKZXsLDtkHTMPYoI+p2qgsVRAUEsSv0AHEZ50k7FkVMXs3EfLJBx2BzJZdTjowfIygwjIMxOdyqVUnP+KU30fwNEs7mJrJFBERABERABCwqIOFsUX5pXAREQAREQATMBSSczU1kiwiIgAiIgAhYVEDC2aL80rgIiIAIiIAImAtIOJubyBYREAEREAERsKiAhLNF+aVxERABERABETAXkHA2N5EtIiACIiACImBRAQlni/JL4yIgAiIgAiJgLiDhbG4iW0RABERABETAogISzhbll8ZFQAREQAREwFxAwtncRLaIgAiIgAiIgEUFJJwtyi+Ni4AIiIAIiIC5gISzuYlsEQEREAEREAGLCkg4W5RfGhcBERABERABc4H/AdswePRqaQuTAAAAAElFTkSuQmCC"></p>
<p>left electrode/anode labelled zinc/Zn <em><strong>AND</strong> </em>right electrode/cathode labelled iron/Fe ✔</p>
<p>electrolyte labelled as «aqueous» zinc salt/Zn<sup>2+</sup> ✔</p>
<p><em><br>Accept an inert conductor for the anode.</em></p>
<p><em>Accept specific zinc salts such as ZnSO<sub>4</sub>.</em></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>« <em>Zn</em><sup>2+</sup>» has a full d-shell<br><em><strong>OR</strong></em><br>does not form « ions with» an incomplete d-shell ✔</p>
<p><em><br>Do <strong>not</strong> accept “Zn is not a transition metal”.</em></p>
<p><em>Do <strong>not</strong> accept zinc atoms for zinc ions.</em></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>ligands donate pairs of electrons to metal ions<br><em><strong>OR</strong></em><br>forms coordinate covalent/dative bond✔</p>
<p>ligands are Lewis bases<br><em><strong>AND</strong></em><br>metal «ions» are Lewis acids ✔</p>
<div class="question_part_label">g.</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>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">g.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Copper forms two chlorides, copper(I) chloride and copper(II) chloride.</span></p>
</div>
<div class="specification">
<p><span style="background-color: #ffffff;">Two electrolysis cells were assembled using graphite electrodes and connected in series as shown.</span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;"><img src="data:image/png;base64,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"></span></p>
<p> </p>
</div>
<div class="specification">
<p><span style="background-color: #ffffff;">Copper(I) chloride undergoes a disproportionation reaction, producing copper(II) chloride and copper.</span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;">2Cu<sup>+</sup> (aq) → Cu (s) + Cu<sup>2+</sup> (aq)</span></p>
</div>
<div class="specification">
<p><span style="background-color: #ffffff;">Dilute copper(II) chloride solution is light blue, while copper(I) chloride solution is colourless.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">State the electron configuration of the Cu<sup>+</sup> ion.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Copper(II) chloride is used as a catalyst in the production of chlorine from hydrogen chloride.</span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;">4HCl (g) + O<sub>2</sub> (g) → 2Cl<sub>2</sub> (g) + 2H<sub>2</sub>O (g)</span></p>
<p><span style="background-color: #ffffff;">Calculate the standard enthalpy change, Δ<em>H</em><sup>θ</sup>, in kJ, for this reaction, using section 12 of the data booklet.</span></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><span style="background-color: #ffffff;">The diagram shows the Maxwell–Boltzmann distribution and potential energy profile for the reaction without a catalyst.</span></p>
<p><span style="background-color: #ffffff;">Annotate both charts to show the activation energy for the catalysed reaction, using the label <em>E</em><sub>a (cat)</sub>.</span></p>
<p><span style="background-color: #ffffff;"><img style="margin-right:auto;margin-left:auto;display: block;" 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" width="657" height="313"></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">a(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Explain how the catalyst increases the rate of the reaction.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">a(iv).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Solid copper(II) chloride absorbs moisture from the atmosphere to form a hydrate of formula CuCl<sub>2</sub>•<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi></math>H<sub>2</sub>O.</span></p>
<p><span style="background-color: #ffffff;">A student heated a sample of hydrated copper(II) chloride, in order to determine the value of <math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi></math>. The following results were obtained:</span></p>
<p><span style="background-color: #ffffff;">Mass of crucible = 16.221 g<br>Initial mass of crucible and hydrated copper(II) chloride = 18.360 g<br>Final mass of crucible and anhydrous copper(II) chloride = 17.917 g</span></p>
<p><span style="background-color: #ffffff;">Determine the value of <em><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi></math></em>.</span></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><span style="background-color: #ffffff;">State how current is conducted through the wires and through the electrolyte.</span></p>
<p><span style="background-color: #ffffff;">Wires: </span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Electrolyte:</span></span></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><span style="background-color: #ffffff;">Write the half-equation for the formation of gas bubbles at electrode 1.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Bubbles of gas were also observed at another electrode. Identify the electrode and the gas.</span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Electrode number (on diagram):</span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Name of gas: </span></span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Deduce the half-equation for the formation of the gas identified in (c)(iii).</span></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><span style="background-color: #ffffff;">Determine the enthalpy of solution of copper(II) chloride, using data from sections 18 and 20 of the data booklet.</span></p>
<p><span style="background-color: #ffffff;">The enthalpy of hydration of the copper(II) ion is −2161 kJ mol<sup>−1</sup>.</span></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><span style="background-color: #ffffff;">Calculate the cell potential at 298 K for the disproportionation reaction, in V, using section 24 of the data booklet.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Comment on the spontaneity of the disproportionation reaction at 298 K.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Calculate the standard Gibbs free energy change, Δ<em>G</em><sup>θ</sup>, to two significant figures, for the disproportionation at 298 K. Use your answer from (e)(i) and sections 1 and 2 of the data booklet.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">e(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Suggest, giving a reason, whether the entropy of the system increases or decreases during the disproportionation.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">e(iv).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Deduce, giving a reason, the sign of the standard enthalpy change, Δ<em>H</em><sup>θ</sup>, for the disproportionation reaction at 298 K.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">e(v).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Predict, giving a reason, the effect of increasing temperature on the stability of copper(I) chloride solution.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">e(vi).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Describe how the blue colour is produced in the Cu(II) solution. Refer to section 17 of the data booklet.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">f(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Deduce why the Cu(I) solution is colourless.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">f(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">When excess ammonia is added to copper(II) chloride solution, the dark blue complex ion, [Cu(NH<sub>3</sub>)<sub>4</sub>(H<sub>2</sub>O)<sub>2</sub>]<sup>2+</sup>, forms.</span></p>
<p><span style="background-color: #ffffff;">State the molecular geometry of this complex ion, and the bond angles within it.</span></p>
<p> </p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Molecular geometry:</span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Bond angles: </span></span></p>
<div class="marks">[1]</div>
<div class="question_part_label">f(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Examine the relationship between the Brønsted–Lowry and Lewis definitions of a base, referring to the ligands in the complex ion [CuCl<sub>4</sub>]<sup>2−</sup>.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">f(iv).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">[Ar] 3d<sup>10</sup><br><strong><em>OR</em></strong><br>1s<sup>2</sup> 2s<sup>2</sup> 2p<sup>6</sup> 3s<sup>2</sup> 3p<sup>6</sup> 3d<sup>10</sup> ✔</span></p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">Δ<em>H</em><sup>θ</sup> = ΣΔ<em>H</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span><sub>f</sub> (products) − ΣΔ<em>H</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span><sub>f</sub> (reactants) ✔<br>Δ<em>H</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span> = 2(−241.8 «kJ mol<sup>−1</sup>») − 4(−92.3 «kJ mol<sup>−1</sup>») = −114.4 «kJ» ✔</span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"> NOTE: Award <strong>[2]</strong> for correct final answer.</span></em></p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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" width="296" height="255"></p>
<p><span style="background-color: #ffffff;"><em>E</em><sub>a (cat)</sub> to the left of <em>E</em><sub>a</sub> ✔ </span></p>
<p> </p>
<p><span style="background-color: #ffffff;"><img 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" width="296" height="250"></span></p>
<p><span style="background-color: #ffffff;">peak lower <em><strong>AND</strong> E</em><sub>a (cat)</sub> smaller ✔</span></p>
<div class="question_part_label">a(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«catalyst provides an» alternative pathway ✔</span></p>
<p><span style="background-color: #ffffff;">«with» lower <em>E</em><sub>a</sub><br><em><strong>OR</strong></em><br>higher proportion of/more particles with «kinetic» <em>E</em> ≥ <em>E</em><sub>a(cat)</sub> «than <em>E</em><sub>a</sub>» ✔</span></p>
<div class="question_part_label">a(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">mass of H<sub>2</sub>O = «18.360 g – 17.917 g =» 0.443 «g» <em><strong>AND</strong> </em>mass of CuCl<sub>2</sub> = «17.917 g – 16.221 g =» 1.696 «g» ✔</span></p>
<p> </p>
<p><span style="background-color: #ffffff;">moles of H<sub>2</sub>O = «<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{0.443{\text{g}}}}{{18.02{\text{g mo}}{{\text{l}}^{ - 1}}}}"><mfrac><mrow><mn>0.443</mn><mo> </mo><mtext>g</mtext></mrow><mrow><mn>18.02</mn><mo> </mo><mtext>g mo</mtext><msup><mtext>l</mtext><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></mfrac></math></span>=» 0.0246 «mol»<br><em><strong>OR</strong></em><br>moles of CuCl<sub>2</sub> =<span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">«</span><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{1.696{\text{g}}}}{{134.45{\text{g mo}}{{\text{l}}^{ - 1}}}}"><mfrac><mrow><mn>1.696</mn><mo> </mo><mtext>g</mtext></mrow><mrow><mn>134.45</mn><mo> </mo><mtext>g mo</mtext><msup><mtext>l</mtext><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></mfrac></math></span>= » 0.0126 «mol» ✔<br></span></p>
<p> </p>
<p><span style="background-color: #ffffff;">«water : copper(II) chloride = 1.95 : 1»<br></span></p>
<p><span style="background-color: #ffffff;">«<em><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi></math></em> =» 2 ✔</span></p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept «<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi></math> =» 1.95.</span></em></p>
<p><em><span style="background-color: #ffffff;">NOTE: Award<strong> [3]</strong> for correct final answer.</span></em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Wires</em>:<br>«delocalized» electrons «flow» ✔<br></span></p>
<p><span style="background-color: #ffffff;"><em>Electrolyte</em>:<br>«mobile» ions «flow» ✔</span></p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">2Cl<sup>−</sup> → Cl<sub>2</sub> (g) + 2e<sup>−</sup><br><em><strong>OR</strong></em><br>Cl<sup>−</sup> → <span class="mjpage"><math alttext="\frac{1}{2}" xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mn>1</mn> <mn>2</mn> </mfrac> </math></span>Cl<sub>2</sub> (g) + e<sup>−</sup> ✔</span></p>
<p><em><span style="background-color: #ffffff;"> NOTE: Accept e for e<sup>−</sup>.</span></em></p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«electrode» 3 <em><strong>AND</strong> </em>oxygen/O<sub>2</sub> ✔</span></p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept chlorine/Cl<sub>2</sub>.</span></em></p>
<div class="question_part_label">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">2H<sub>2</sub>O (l) → 4H<sup>+</sup> (aq) + O<sub>2</sub> (g) + 4e<sup>–</sup> ✔</span></p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept 2Cl<sup>–</sup> (aq) → Cl<sub>2</sub> (g) + 2e<sup>–</sup>.<br>Accept 4OH<sup>−</sup> → 2H<sub>2</sub>O + O<sub>2</sub> + 4e<sup>−</sup></span></em></p>
<div class="question_part_label">c(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">enthalpy of solution = lattice enthalpy + enthalpies of hydration «of Cu<sup>2+</sup> and Cl<sup>−</sup>» ✔</span></p>
<p><span style="background-color: #ffffff;">«+2824 kJ mol<sup>–1</sup> − 2161 kJ mol<sup>–1</sup> − 2(359 kJ mol<sup>–1</sup>) =» −55 «kJ mol<sup>–1</sup>» ✔</span></p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept enthalpy cycle. <br>Award <strong>[2]</strong> for correct final answer.</span></em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>E</em><sup>θ</sup> = «+0.52 – 0.15 = +» 0.37 «V» ✔</span></p>
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">spontaneous <em><strong>AND</strong> E</em><sup>θ</sup> positive ✔</span></p>
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">Δ<em>G</em><sup>θ</sup> = «−<em>nFE</em> = −1 mol × 96 500 C Mol<sup>–1</sup> × 0.37 V=» −36 000 J/−36 kJ ✔</span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"> NOTE: Accept “−18 kJ mol<sup>–1</sup> «per mole of Cu<sup>+</sup>»”.<br></span></em></p>
<p><em><span style="background-color: #ffffff;">Do <strong>not</strong> accept values of n other than 1.<br></span></em></p>
<p><em><span style="background-color: #ffffff;">Apply SF in this question.<br></span></em></p>
<p><em><span style="background-color: #ffffff;">Accept J/kJ or J mol<sup>−1</sup>/kJ mol<sup>−1</sup> for units.</span></em></p>
<div class="question_part_label">e(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">2 mol (aq) → 1 mol (aq) <em><strong>AND</strong> </em>decreases ✔</span></p>
<p><em>NOTE: <span style="background-color: #ffffff;">Accept “solid formed from aqueous solution <strong>AND</strong> decreases”.<br>Do <strong>not</strong> accept 2 mol <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">→</span> 1 mol without (aq).</span></em></p>
<div class="question_part_label">e(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">Δ<em>G</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span> </span><span style="background-color: #ffffff;">< 0</span><span style="background-color: #ffffff;"> <strong>AND</strong> </span><span style="background-color: #ffffff;">Δ</span><span style="background-color: #ffffff;"><em>S</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span> < 0 <strong>AND</strong> Δ<em>H</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span></span><span style="background-color: #ffffff;"> < 0</span><em><span style="background-color: #ffffff;"><br><strong>OR</strong><br></span></em><span style="background-color: #ffffff;">Δ<em>G</em></span><span style="background-color: #ffffff;"><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span> + <em>T</em>Δ<em>S</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span> < 0 <strong>AND</strong> Δ<em>H</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span> < 0 ✔</span></p>
<div class="question_part_label">e(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>T</em>Δ<em>S</em> more negative «reducing spontaneity» <em><strong>AND</strong> </em>stability increases ✔</span></p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept calculation showing non-spontaneity at 433 K.</span></em></p>
<div class="question_part_label">e(vi).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«ligands cause» d-orbitals «to» split ✔</span></p>
<p><span style="background-color: #ffffff;">light absorbed as electrons transit to higher energy level «in d–d transitions»<br><em><strong>OR</strong></em><br>light absorbed as electrons promoted ✔</span></p>
<p><span style="background-color: #ffffff;">energy gap corresponds to «orange» light in visible region of spectrum ✔</span></p>
<p><span style="background-color: #ffffff;">colour observed is complementary ✔</span></p>
<div class="question_part_label">f(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">full «3»d sub-level/orbitals<br><em><strong>OR</strong></em><br>no d–d transition possible «and therefore no colour» ✔</span></p>
<div class="question_part_label">f(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">octahedral <em><strong>AND</strong> </em>90° «180° for axial» ✔</span></p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept square-based bi-pyramid.</span></em></p>
<div class="question_part_label">f(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Any <strong>two </strong>of:</em><br>ligand/chloride ion Lewis base <em><strong>AND</strong> </em>donates e-pair ✔<br>not Brønsted–Lowry base <em><strong>AND</strong> </em>does not accept proton/H<sup>+</sup> ✔<br>Lewis definition extends/broader than Brønsted–Lowry definition ✔</span></p>
<div class="question_part_label">f(iv).</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a(iv).</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">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e(vi).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f(iv).</div>
</div>
<br><hr><br><div class="specification">
<p>Two hydrides of nitrogen are ammonia and hydrazine, <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{{\text{N}}_{\text{2}}}{{\text{H}}_{\text{4}}}">
<mrow>
<msub>
<mrow>
<mtext>N</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>4</mtext>
</mrow>
</msub>
</mrow>
</math></span>. One derivative of ammonia is methanamine whose molecular structure is shown below.</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2017-09-20_om_11.35.47.png" alt="M17/4/CHEMI/HP2/ENG/TZ1/05"></p>
</div>
<div class="specification">
<p>Hydrazine is used to remove oxygen from water used to generate steam or hot water.</p>
<p><span class="mjpage mjpage__block"><math xmlns="http://www.w3.org/1998/Math/MathML" display="block" alttext="{{\text{N}}_{\text{2}}}{{\text{H}}_{\text{4}}}{\text{(aq)}} + {{\text{O}}_{\text{2}}}{\text{(aq)}} \to {{\text{N}}_{\text{2}}}{\text{(g)}} + {\text{2}}{{\text{H}}_{\text{2}}}{\text{O(l)}}">
<mrow>
<msub>
<mrow>
<mtext>N</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>4</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(aq)</mtext>
</mrow>
<mo>+</mo>
<mrow>
<msub>
<mrow>
<mtext>O</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(aq)</mtext>
</mrow>
<mo stretchy="false">→<!-- → --></mo>
<mrow>
<msub>
<mrow>
<mtext>N</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(g)</mtext>
</mrow>
<mo>+</mo>
<mrow>
<mtext>2</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>O(l)</mtext>
</mrow>
</math></span></p>
<p>The concentration of dissolved oxygen in a sample of water is <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="8.0 \times {10^{ - 3}}{\text{ g}}\,{\text{d}}{{\text{m}}^{ - 3}}">
<mn>8.0</mn>
<mo>×<!-- × --></mo>
<mrow>
<msup>
<mn>10</mn>
<mrow>
<mo>−<!-- − --></mo>
<mn>3</mn>
</mrow>
</msup>
</mrow>
<mrow>
<mtext> g</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>d</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>m</mtext>
</mrow>
<mrow>
<mo>−<!-- − --></mo>
<mn>3</mn>
</mrow>
</msup>
</mrow>
</math></span>.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Estimate the H−N−H bond angle in methanamine using VSEPR theory.</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>State the electron domain geometry around the nitrogen atom and its hybridization in methanamine.</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>Ammonia reacts reversibly with water.<br><span class="mjpage mjpage__block"><math xmlns="http://www.w3.org/1998/Math/MathML" display="block" alttext="{\text{N}}{{\text{H}}_{\text{3}}}{\text{(g)}} + {{\text{H}}_{\text{2}}}{\text{O(l)}} \rightleftharpoons {\text{NH}}_{\text{4}}^ + {\text{(aq)}} + {\text{O}}{{\text{H}}^ - }{\text{(aq)}}">
<mrow>
<mtext>N</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>3</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(g)</mtext>
</mrow>
<mo>+</mo>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>O(l)</mtext>
</mrow>
<mo stretchy="false">⇌</mo>
<msubsup>
<mrow>
<mtext>NH</mtext>
</mrow>
<mrow>
<mtext>4</mtext>
</mrow>
<mo>+</mo>
</msubsup>
<mrow>
<mtext>(aq)</mtext>
</mrow>
<mo>+</mo>
<mrow>
<mtext>O</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>H</mtext>
</mrow>
<mo>−</mo>
</msup>
</mrow>
<mrow>
<mtext>(aq)</mtext>
</mrow>
</math></span><br>Explain the effect of adding <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{{\text{H}}^ + }{\text{(aq)}}">
<mrow>
<msup>
<mrow>
<mtext>H</mtext>
</mrow>
<mo>+</mo>
</msup>
</mrow>
<mrow>
<mtext>(aq)</mtext>
</mrow>
</math></span> ions on the position of the equilibrium.</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>Hydrazine reacts with water in a similar way to ammonia. (The association of a molecule of hydrazine with a second H<sup>+</sup> is so small it can be neglected.)</p>
<p><span class="mjpage mjpage__block"><math xmlns="http://www.w3.org/1998/Math/MathML" display="block" alttext="{{\text{N}}_{\text{2}}}{{\text{H}}_{\text{4}}}{\text{(aq)}} + {{\text{H}}_{\text{2}}}{\text{O(l)}} \rightleftharpoons {{\text{N}}_{\text{2}}}{\text{H}}_{\text{5}}^ + {\text{(aq)}} + {\text{O}}{{\text{H}}^ - }{\text{(aq)}}">
<mrow>
<msub>
<mrow>
<mtext>N</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>4</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(aq)</mtext>
</mrow>
<mo>+</mo>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>O(l)</mtext>
</mrow>
<mo stretchy="false">⇌</mo>
<mrow>
<msub>
<mrow>
<mtext>N</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<msubsup>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>5</mtext>
</mrow>
<mo>+</mo>
</msubsup>
<mrow>
<mtext>(aq)</mtext>
</mrow>
<mo>+</mo>
<mrow>
<mtext>O</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>H</mtext>
</mrow>
<mo>−</mo>
</msup>
</mrow>
<mrow>
<mtext>(aq)</mtext>
</mrow>
</math></span></p>
<p><span class="mjpage mjpage__block"><math xmlns="http://www.w3.org/1998/Math/MathML" display="block" alttext="{\text{p}}{K_{\text{b}}}{\text{ (hydrazine)}} = 5.77">
<mrow>
<mtext>p</mtext>
</mrow>
<mrow>
<msub>
<mi>K</mi>
<mrow>
<mtext>b</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext> (hydrazine)</mtext>
</mrow>
<mo>=</mo>
<mn>5.77</mn>
</math></span></p>
<p>Calculate the pH of a <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="0.0100{\text{ mol}}\,{\text{d}}{{\text{m}}^{ - 3}}">
<mn>0.0100</mn>
<mrow>
<mtext> mol</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>d</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>m</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>3</mn>
</mrow>
</msup>
</mrow>
</math></span> solution of hydrazine.</p>
<div class="marks">[3]</div>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest a suitable indicator for the titration of hydrazine solution with dilute sulfuric acid using section 22 of the data booklet.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline, using an ionic equation, what is observed when magnesium powder is added to a solution of ammonium chloride.</p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine the enthalpy change of reaction, <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta H">
<mi mathvariant="normal">Δ</mi>
<mi>H</mi>
</math></span>, in kJ, when 1.00 mol of gaseous hydrazine decomposes to its elements. Use bond enthalpy values in section 11 of the data booklet.</p>
<p><span class="mjpage mjpage__block"><math xmlns="http://www.w3.org/1998/Math/MathML" display="block" alttext="{{\text{N}}_{\text{2}}}{{\text{H}}_{\text{4}}}{\text{(g)}} \to {{\text{N}}_{\text{2}}}{\text{(g)}} + {\text{2}}{{\text{H}}_{\text{2}}}{\text{(g)}}">
<mrow>
<msub>
<mrow>
<mtext>N</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>4</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(g)</mtext>
</mrow>
<mo stretchy="false">→</mo>
<mrow>
<msub>
<mrow>
<mtext>N</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(g)</mtext>
</mrow>
<mo>+</mo>
<mrow>
<mtext>2</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(g)</mtext>
</mrow>
</math></span></p>
<div class="marks">[3]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The standard enthalpy of formation of <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{{\text{N}}_{\text{2}}}{{\text{H}}_{\text{4}}}{\text{(l)}}">
<mrow>
<msub>
<mrow>
<mtext>N</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>4</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(l)</mtext>
</mrow>
</math></span> is <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" + 50.6{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}">
<mo>+</mo>
<mn>50.6</mn>
<mrow>
<mtext> kJ</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
</math></span>. Calculate the enthalpy of vaporization, <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta {H_{{\text{vap}}}}">
<mi mathvariant="normal">Δ</mi>
<mrow>
<msub>
<mi>H</mi>
<mrow>
<mrow>
<mtext>vap</mtext>
</mrow>
</mrow>
</msub>
</mrow>
</math></span>, of hydrazine in <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}">
<mrow>
<mtext>kJ</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
</math></span>. <span class="mjpage mjpage__block"><math xmlns="http://www.w3.org/1998/Math/MathML" display="block" alttext="{{\text{N}}_{\text{2}}}{{\text{H}}_{\text{4}}}{\text{(l)}} \to {{\text{N}}_{\text{2}}}{{\text{H}}_{\text{4}}}{\text{(g)}}">
<mrow>
<msub>
<mrow>
<mtext>N</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>4</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(l)</mtext>
</mrow>
<mo stretchy="false">→</mo>
<mrow>
<msub>
<mrow>
<mtext>N</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>4</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(g)</mtext>
</mrow>
</math></span> (If you did not get an answer to (f), use <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" - 85{\text{ kJ}}">
<mo>−</mo>
<mn>85</mn>
<mrow>
<mtext> kJ</mtext>
</mrow>
</math></span> but this is not the correct answer.)</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>Calculate, showing your working, the mass of hydrazine needed to remove all the dissolved oxygen from <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{1000 d}}{{\text{m}}^{\text{3}}}">
<mrow>
<mtext>1000 d</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>m</mtext>
</mrow>
<mrow>
<mtext>3</mtext>
</mrow>
</msup>
</mrow>
</math></span> of the sample.</p>
<div class="marks">[3]</div>
<div class="question_part_label">h.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the volume, in <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{d}}{{\text{m}}^{\text{3}}}">
<mrow>
<mtext>d</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>m</mtext>
</mrow>
<mrow>
<mtext>3</mtext>
</mrow>
</msup>
</mrow>
</math></span>, of nitrogen formed under SATP conditions. (The volume of 1 mol of gas = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{24.8 d}}{{\text{m}}^{\text{3}}}">
<mrow>
<mtext>24.8 d</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>m</mtext>
</mrow>
<mrow>
<mtext>3</mtext>
</mrow>
</msup>
</mrow>
</math></span> at SATP.)</p>
<div class="marks">[1]</div>
<div class="question_part_label">h.ii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>107°</p>
<p> </p>
<p><em>Accept 100° </em><em>to < </em><em>109.5°.</em></p>
<p><em>Literature value = </em><em>105.8°</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>tetrahedral</p>
<p>sp<sup>3</sup></p>
<p> </p>
<p> </p>
<p><em>No ECF allowed.</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>removes/reacts with <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{O}}{{\text{H}}^ - }">
<mrow>
<mtext>O</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>H</mtext>
</mrow>
<mo>−</mo>
</msup>
</mrow>
</math></span></p>
<p>moves to the right/products «to replace <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{O}}{{\text{H}}^ - }">
<mrow>
<mtext>O</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>H</mtext>
</mrow>
<mo>−</mo>
</msup>
</mrow>
</math></span> ions»</p>
<p> </p>
<p><em>Accept ionic equation for M1.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>K</em><sub>b</sub> = 10<sup>–5.77</sup> / 1.698 x 10<sup>–6</sup><br><em><strong>OR</strong></em><br><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{K_{\text{b}}} = \frac{{\left[ {{{\text{N}}_{\text{2}}}{\text{H}}_5^ + } \right] \times \left[ {{\text{O}}{{\text{H}}^ - }} \right]}}{{\left[ {{{\text{N}}_{\text{2}}}{{\text{H}}_4}} \right]}}">
<mrow>
<msub>
<mi>K</mi>
<mrow>
<mtext>b</mtext>
</mrow>
</msub>
</mrow>
<mo>=</mo>
<mfrac>
<mrow>
<mrow>
<mo>[</mo>
<mrow>
<mrow>
<msub>
<mrow>
<mtext>N</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<msubsup>
<mrow>
<mtext>H</mtext>
</mrow>
<mn>5</mn>
<mo>+</mo>
</msubsup>
</mrow>
<mo>]</mo>
</mrow>
<mo>×</mo>
<mrow>
<mo>[</mo>
<mrow>
<mrow>
<mtext>O</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>H</mtext>
</mrow>
<mo>−</mo>
</msup>
</mrow>
</mrow>
<mo>]</mo>
</mrow>
</mrow>
<mrow>
<mrow>
<mo>[</mo>
<mrow>
<mrow>
<msub>
<mrow>
<mtext>N</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mn>4</mn>
</msub>
</mrow>
</mrow>
<mo>]</mo>
</mrow>
</mrow>
</mfrac>
</math></span></p>
<p> [OH<sup>–</sup>]<sup>2</sup> «= 1.698 × 10<sup>–6</sup> × 0.0100» = 1.698 × 10<sup>–8</sup></p>
<p><em><strong>OR</strong></em></p>
<p>[OH<sup>–</sup>] «<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" = \sqrt {1.698 \times {{10}^{ - 8}}} ">
<mo>=</mo>
<msqrt>
<mn>1.698</mn>
<mo>×</mo>
<mrow>
<msup>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mo>−</mo>
<mn>8</mn>
</mrow>
</msup>
</mrow>
</msqrt>
</math></span>» = 1.303 × 10<sup>–4</sup> «mol dm<sup>–3</sup>»</p>
<p>pH «<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" = - {\text{lo}}{{\text{g}}_{10}}\frac{{1 \times {{10}^{ - 14}}}}{{1.3 \times {{10}^{ - 4}}}}">
<mo>=</mo>
<mo>−</mo>
<mrow>
<mtext>lo</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>g</mtext>
</mrow>
<mrow>
<mn>10</mn>
</mrow>
</msub>
</mrow>
<mfrac>
<mrow>
<mn>1</mn>
<mo>×</mo>
<mrow>
<msup>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mo>−</mo>
<mn>14</mn>
</mrow>
</msup>
</mrow>
</mrow>
<mrow>
<mn>1.3</mn>
<mo>×</mo>
<mrow>
<msup>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mo>−</mo>
<mn>4</mn>
</mrow>
</msup>
</mrow>
</mrow>
</mfrac>
</math></span>» = 10.1</p>
<p> </p>
<p><em>Award [3] for correct final answer.</em></p>
<p><em>Give appropriate credit for other methods containing errors that do not yield correct final answer.</em></p>
<p><strong><em>[3 marks]</em></strong></p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>methyl red</p>
<p><em><strong>OR</strong></em></p>
<p>bromocresol green</p>
<p><em><strong>OR</strong></em></p>
<p>bromophenol blue</p>
<p><em><strong>OR</strong></em></p>
<p>methyl orange</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>bubbles</p>
<p><strong><em>OR</em></strong></p>
<p>gas</p>
<p><strong><em>OR</em></strong></p>
<p>magnesium disappears</p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{2NH}}_{\text{4}}^ + {\text{(aq)}} + {\text{Mg(s)}} \to {\text{M}}{{\text{g}}^{{\text{2}} + }}{\text{(aq)}} + {\text{2N}}{{\text{H}}_{\text{3}}}{\text{(aq)}} + {{\text{H}}_{\text{2}}}{\text{(g)}}">
<msubsup>
<mrow>
<mtext>2NH</mtext>
</mrow>
<mrow>
<mtext>4</mtext>
</mrow>
<mo>+</mo>
</msubsup>
<mrow>
<mtext>(aq)</mtext>
</mrow>
<mo>+</mo>
<mrow>
<mtext>Mg(s)</mtext>
</mrow>
<mo stretchy="false">→</mo>
<mrow>
<mtext>M</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>g</mtext>
</mrow>
<mrow>
<mrow>
<mtext>2</mtext>
</mrow>
<mo>+</mo>
</mrow>
</msup>
</mrow>
<mrow>
<mtext>(aq)</mtext>
</mrow>
<mo>+</mo>
<mrow>
<mtext>2N</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>3</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(aq)</mtext>
</mrow>
<mo>+</mo>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(g)</mtext>
</mrow>
</math></span></p>
<p> </p>
<p><em>Do </em><strong><em>not </em></strong><em>accept “hydrogen” without </em><em>reference to observed changes.</em></p>
<p><em>Accept "smell of ammonia".</em></p>
<p><em>Accept 2H<sup>+</sup></em><em>(aq) + </em><em>Mg(s) </em><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \to ">
<mo stretchy="false">→</mo>
</math></span><em> </em><em>Mg</em><sup><em>2+</em></sup><em>(aq) + </em><em>H</em><sub><em>2</em></sub><em>(g)</em></p>
<p><em>Equation must be ionic.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>bonds broken</em>:</p>
<p>E(N–N) + 4E(N–H)</p>
<p><strong><em>OR</em></strong></p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="158{\text{ }}\ll {\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\gg + 4 \times 391{\text{ }}\ll {\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\gg /1722{\text{ }}\ll {\text{kJ}}\gg ">
<mn>158</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mrow>
<mtext>kJ</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
<mo>≫</mo>
<mo>+</mo>
<mn>4</mn>
<mo>×</mo>
<mn>391</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mrow>
<mtext>kJ</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
<mo>≫</mo>
<mrow>
<mo>/</mo>
</mrow>
<mn>1722</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mrow>
<mtext>kJ</mtext>
</mrow>
<mo>≫</mo>
</math></span></p>
<p><em>bonds formed</em>:</p>
<p>E(N<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \equiv ">
<mo>≡</mo>
</math></span>N) + 2E(H–H)</p>
<p><strong><em>OR</em></strong></p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="945{\text{ }}\ll {\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\gg + 2 \times 436{\text{ }}\ll {\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\gg /1817{\text{ }}\ll {\text{kJ}}\gg ">
<mn>945</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mrow>
<mtext>kJ</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
<mo>≫</mo>
<mo>+</mo>
<mn>2</mn>
<mo>×</mo>
<mn>436</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mrow>
<mtext>kJ</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
<mo>≫</mo>
<mrow>
<mo>/</mo>
</mrow>
<mn>1817</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mrow>
<mtext>kJ</mtext>
</mrow>
<mo>≫</mo>
</math></span></p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\ll \Delta H = {\text{bonds broken}} - {\text{bonds formed}} = 1722 - 1817 = \gg - 95{\text{ }}\ll {\text{kJ}}\gg ">
<mo>≪</mo>
<mi mathvariant="normal">Δ</mi>
<mi>H</mi>
<mo>=</mo>
<mrow>
<mtext>bonds broken</mtext>
</mrow>
<mo>−</mo>
<mrow>
<mtext>bonds formed</mtext>
</mrow>
<mo>=</mo>
<mn>1722</mn>
<mo>−</mo>
<mn>1817</mn>
<mo>=≫</mo>
<mo>−</mo>
<mn>95</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mrow>
<mtext>kJ</mtext>
</mrow>
<mo>≫</mo>
</math></span></p>
<p> </p>
<p><em>Award [3] for correct final answer.</em></p>
<p><em>Award [2 max] for +</em><em>95 </em><strong><em>«</em></strong><em>kJ</em><strong><em>»</em></strong><em>.</em></p>
<p><strong><em>[3 marks]</em></strong></p>
<p> </p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2017-09-20_om_14.03.34.png" alt="M17/4/CHEMI/HP2/ENG/TZ1/05.g/M"></p>
<p><strong><em>OR</em></strong></p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta {H_{{\text{vap}}}} = - 50.6{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}} - {\text{(}} - 95{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}{\text{)}}">
<mi mathvariant="normal">Δ</mi>
<mrow>
<msub>
<mi>H</mi>
<mrow>
<mrow>
<mtext>vap</mtext>
</mrow>
</mrow>
</msub>
</mrow>
<mo>=</mo>
<mo>−</mo>
<mn>50.6</mn>
<mrow>
<mtext> kJ</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
<mo>−</mo>
<mrow>
<mtext>(</mtext>
</mrow>
<mo>−</mo>
<mn>95</mn>
<mrow>
<mtext> kJ</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
<mrow>
<mtext>)</mtext>
</mrow>
</math></span></p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\ll \Delta {H_{vap}} = \gg + 44{\text{ }}\ll {\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\gg ">
<mo>≪</mo>
<mi mathvariant="normal">Δ</mi>
<mrow>
<msub>
<mi>H</mi>
<mrow>
<mi>v</mi>
<mi>a</mi>
<mi>p</mi>
</mrow>
</msub>
</mrow>
<mo>=≫</mo>
<mo>+</mo>
<mn>44</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mrow>
<mtext>kJ</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
<mo>≫</mo>
</math></span></p>
<p> </p>
<p><em>Award [2] for correct final answer. Award </em><em>[1 max] for </em>–<em>44 </em><em>«</em><em>kJ mol<sup>–</sup></em><sup><em>1</em></sup><em>».</em></p>
<p><em>Award [2] for:</em></p>
<p><em>ΔH</em><sub><em>vap </em></sub>= –<em>50.6 kJ mol<sup>–</sup></em><sup><em>1 </em></sup><em>– (–85 J mol<sup>–</sup></em><sup><em>1</em></sup><em>) = </em>＋<em>34 </em><em>«</em><em>kJ mol<sup>–</sup></em><sup><em>1</em></sup><em>»</em><em>.</em></p>
<p><em>Award [1 max] for –</em><em>34 </em><em>«</em><em>kJ mol<sup>–</sup></em><sup><em>1</em></sup><em>».</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>total mass of oxygen <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\ll = 8.0 \times {10^{ - 3}}{\text{ g}}\,{\text{d}}{{\text{m}}^{ - 3}} \times 1000{\text{ d}}{{\text{m}}^3}\gg = 8.0{\text{ }}\ll {\text{g}}\gg ">
<mo>≪=</mo>
<mn>8.0</mn>
<mo>×</mo>
<mrow>
<msup>
<mn>10</mn>
<mrow>
<mo>−</mo>
<mn>3</mn>
</mrow>
</msup>
</mrow>
<mrow>
<mtext> g</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>d</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>m</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>3</mn>
</mrow>
</msup>
</mrow>
<mo>×</mo>
<mn>1000</mn>
<mrow>
<mtext> d</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>m</mtext>
</mrow>
<mn>3</mn>
</msup>
</mrow>
<mo>≫=</mo>
<mn>8.0</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mrow>
<mtext>g</mtext>
</mrow>
<mo>≫</mo>
</math></span></p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{n(}}{{\text{O}}_{\text{2}}}{\text{) }}\ll = \frac{{8.0{\text{ g}}}}{{32.00{\text{ g}}\,{\text{mo}}{{\text{l}}^{ - 1}}}} = \gg {\text{ }}0.25{\text{ }}\ll {\text{mol}}\gg ">
<mrow>
<mtext>n(</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>O</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>) </mtext>
</mrow>
<mo>≪=</mo>
<mfrac>
<mrow>
<mn>8.0</mn>
<mrow>
<mtext> g</mtext>
</mrow>
</mrow>
<mrow>
<mn>32.00</mn>
<mrow>
<mtext> g</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
</mrow>
</mfrac>
<mo>=≫</mo>
<mrow>
<mtext> </mtext>
</mrow>
<mn>0.25</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mrow>
<mtext>mol</mtext>
</mrow>
<mo>≫</mo>
</math></span></p>
<p><strong><em>OR</em></strong></p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{n(}}{{\text{N}}_{\text{2}}}{{\text{H}}_{\text{4}}}{\text{)}} = {\text{n(}}{{\text{O}}_{\text{2}}}{\text{)}}">
<mrow>
<mtext>n(</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>N</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>4</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>)</mtext>
</mrow>
<mo>=</mo>
<mrow>
<mtext>n(</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>O</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>)</mtext>
</mrow>
</math></span></p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\ll {\text{mass of hydrazine}} = 0.25{\text{ mol}} \times 32.06{\text{ g}}\,{\text{mo}}{{\text{l}}^{ - 1}} = \gg {\text{ }}8.0{\text{ }}\ll {\text{g}}\gg ">
<mo>≪</mo>
<mrow>
<mtext>mass of hydrazine</mtext>
</mrow>
<mo>=</mo>
<mn>0.25</mn>
<mrow>
<mtext> mol</mtext>
</mrow>
<mo>×</mo>
<mn>32.06</mn>
<mrow>
<mtext> g</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
<mo>=≫</mo>
<mrow>
<mtext> </mtext>
</mrow>
<mn>8.0</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mrow>
<mtext>g</mtext>
</mrow>
<mo>≫</mo>
</math></span></p>
<p> </p>
<p><em>Award [3] for correct final answer.</em></p>
<p><strong><em>[3 marks]</em></strong></p>
<div class="question_part_label">h.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\ll {\text{n(}}{{\text{N}}_{\text{2}}}{{\text{H}}_{\text{4}}}{\text{)}} = {\text{n(}}{{\text{O}}_{\text{2}}}{\text{)}} = \frac{{8.0{\text{ g}}}}{{32.00{\text{ g}}\,{\text{mo}}{{\text{l}}^{ - 1}}}} = \gg {\text{ }}0.25{\text{ }}\ll {\text{mol}}\gg ">
<mo>≪</mo>
<mrow>
<mtext>n(</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>N</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>4</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>)</mtext>
</mrow>
<mo>=</mo>
<mrow>
<mtext>n(</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>O</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>)</mtext>
</mrow>
<mo>=</mo>
<mfrac>
<mrow>
<mn>8.0</mn>
<mrow>
<mtext> g</mtext>
</mrow>
</mrow>
<mrow>
<mn>32.00</mn>
<mrow>
<mtext> g</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
</mrow>
</mfrac>
<mo>=≫</mo>
<mrow>
<mtext> </mtext>
</mrow>
<mn>0.25</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mrow>
<mtext>mol</mtext>
</mrow>
<mo>≫</mo>
</math></span></p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\ll {\text{volume of nitrogen}} = 0.25{\text{ mol}} \times 24.8{\text{ d}}{{\text{m}}^3}\,{\text{mo}}{{\text{l}}^{ - 1}}\gg = 6.2{\text{ }}\ll {\text{d}}{{\text{m}}^3}\gg ">
<mo>≪</mo>
<mrow>
<mtext>volume of nitrogen</mtext>
</mrow>
<mo>=</mo>
<mn>0.25</mn>
<mrow>
<mtext> mol</mtext>
</mrow>
<mo>×</mo>
<mn>24.8</mn>
<mrow>
<mtext> d</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>m</mtext>
</mrow>
<mn>3</mn>
</msup>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
<mo>≫=</mo>
<mn>6.2</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mo>≪</mo>
<mrow>
<mtext>d</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>m</mtext>
</mrow>
<mn>3</mn>
</msup>
</mrow>
<mo>≫</mo>
</math></span></p>
<p> </p>
<p><em>Award [1] for correct final answer.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">h.ii.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">g.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">h.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">h.ii.</div>
</div>
<br><hr><br><div class="specification">
<p>Butanoic acid, CH<sub>3</sub>CH<sub>2</sub>CH<sub>2</sub>COOH, is a weak acid and ethylamine, CH<sub>3</sub>CH<sub>2</sub>NH<sub>2</sub>, is a weak base.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the equation for the reaction of each substance with water.</p>
<p><img src="data:image/png;base64,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"></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>Draw a diagram showing the delocalization of electrons in the conjugate base of butanoic acid.</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>Deduce the average oxidation state of carbon in butanoic acid.</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>A 0.250 mol dm<sup>−3</sup> aqueous solution of butanoic acid has a concentration of hydrogen ions, [H<sup>+</sup>], of 0.00192 mol dm<sup>−3</sup>. Calculate the concentration of hydroxide ions, [OH<sup>−</sup>], in the solution at 298 K.</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 pH of a 0.250 mol dm<sup>−3</sup> aqueous solution of ethylamine at 298 K, using section 21 of the data booklet.</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>Sketch the pH curve for the titration of 25.0 cm<sup>3</sup> of ethylamine aqueous solution with 50.0 cm<sup>3</sup> of butanoic acid aqueous solution of equal concentration. No calculations are required.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[3]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain why butanoic acid is a liquid at room temperature while ethylamine is a gas at room temperature.</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>State a suitable reagent for the reduction of butanoic acid.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the product of the complete reduction reaction in (e)(i).</p>
<div class="marks">[1]</div>
<div class="question_part_label">e.ii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><em>Butanoic acid:</em><br>CH<sub>3</sub>CH<sub>2</sub>CH<sub>2</sub>COOH (aq) + H<sub>2</sub>O (l) <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
<mo stretchy="false">⇌</mo>
</math></span> CH<sub>3</sub>CH<sub>2</sub>CH<sub>2</sub>COO<sup>−</sup> (aq) + H<sub>3</sub>O<sup>+</sup> (aq) ✔</p>
<p> </p>
<p><em>Ethylamine:</em><br>CH<sub>3</sub>CH<sub>2</sub>NH<sub>2</sub> (aq) + H<sub>2</sub>O (l) <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
<mo stretchy="false">⇌</mo>
</math></span> CH<sub>3</sub>CH<sub>2</sub>NH<sub>3</sub><sup>+ </sup>(aq) + OH<sup>−</sup> (aq) ✔</p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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"></p>
<p><em>Diagram showing:</em><br>dotted line along O–C–O <em><strong>AND</strong> </em>negative charge</p>
<p> </p>
<p><em>Accept correct diagrams with pi clouds.</em></p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>–1 ✔</p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{1.00 \times {{10}^{ - 14}}\,{\text{mo}}{{\text{l}}^2}\,{\text{d}}{{\text{m}}^{ - 6}}}}{{0.00192\,{\text{mol}}\,{\text{d}}{{\text{m}}^{ - 3}}}}">
<mfrac>
<mrow>
<mn>1.00</mn>
<mo>×</mo>
<mrow>
<msup>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mo>−</mo>
<mn>14</mn>
</mrow>
</msup>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mn>2</mn>
</msup>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>d</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>m</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>6</mn>
</mrow>
</msup>
</mrow>
</mrow>
<mrow>
<mn>0.00192</mn>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mol</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>d</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>m</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>3</mn>
</mrow>
</msup>
</mrow>
</mrow>
</mfrac>
</math></span>» = 5.21 × 10<sup>–12</sup> «mol dm<sup>–3</sup>» ✔</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«p<em>K</em><sub>b</sub> = 3.35, <em>K</em><sub>b</sub> = 10<sup>–3.35</sup> = 4.5 × 10<sup>–4</sup>»</p>
<p>«C<sub>2</sub>H<sub>5</sub>NH<sub>2</sub> + H<sub>2</sub>O <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
<mo stretchy="false">⇌</mo>
</math></span> C<sub>2</sub>H<sub>5</sub>NH<sub>3</sub><sup>+</sup> + OH<sup>–</sup>»</p>
<p> </p>
<p><em>K</em><sub>b</sub> = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{\left[ {{\text{O}}{{\text{H}}^--}} \right]\left[ {{\text{C}}{{\text{H}}_{\text{3}}}{\text{C}}{{\text{H}}_{\text{2}}}{\text{N}}{{\text{H}}_{\text{3}}}^{\text{ + }}} \right]}}{{\left[ {{\text{C}}{{\text{H}}_{\text{3}}}{\text{C}}{{\text{H}}_{\text{2}}}{\text{N}}{{\text{H}}_{\text{2}}}} \right]}}">
<mfrac>
<mrow>
<mrow>
<mo>[</mo>
<mrow>
<mrow>
<mtext>O</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>H</mtext>
</mrow>
<mo>−</mo>
</msup>
<mo>−</mo>
</mrow>
</mrow>
<mo>]</mo>
</mrow>
<mrow>
<mo>[</mo>
<mrow>
<mrow>
<mtext>C</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>3</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>C</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>N</mtext>
</mrow>
<msup>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>3</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext> + </mtext>
</mrow>
</msup>
</mrow>
<mo>]</mo>
</mrow>
</mrow>
<mrow>
<mrow>
<mo>[</mo>
<mrow>
<mrow>
<mtext>C</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>3</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>C</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>N</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
</mrow>
<mo>]</mo>
</mrow>
</mrow>
</mfrac>
</math></span></p>
<p><strong>OR</strong></p>
<p>«<em>K</em><sub>b</sub> =» 4.5 × 10<sup>–4</sup> = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{\left[ {{\text{O}}{{\text{H}}^-}} \right]\left[ {{\text{C}}{{\text{H}}_{\text{3}}}{\text{C}}{{\text{H}}_{\text{2}}}{\text{N}}{{\text{H}}_{\text{3}}}^{\text{ + }}} \right]}}{{0.250}}">
<mfrac>
<mrow>
<mrow>
<mo>[</mo>
<mrow>
<mrow>
<mtext>O</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>H</mtext>
</mrow>
<mo>−</mo>
</msup>
</mrow>
</mrow>
<mo>]</mo>
</mrow>
<mrow>
<mo>[</mo>
<mrow>
<mrow>
<mtext>C</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>3</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>C</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>N</mtext>
</mrow>
<msup>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>3</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext> + </mtext>
</mrow>
</msup>
</mrow>
<mo>]</mo>
</mrow>
</mrow>
<mrow>
<mn>0.250</mn>
</mrow>
</mfrac>
</math></span></p>
<p><em><strong>OR</strong></em></p>
<p>«<em>K</em><sub>b</sub> =» 4.5 × 10<sup>–4</sup> = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{{x^2}}}{{0.250}}">
<mfrac>
<mrow>
<mrow>
<msup>
<mi>x</mi>
<mn>2</mn>
</msup>
</mrow>
</mrow>
<mrow>
<mn>0.250</mn>
</mrow>
</mfrac>
</math></span> ✔</p>
<p><br>« x = [OH<sup>–</sup>] =» 0.011 «mol dm<sup>–3</sup>» ✔</p>
<p> </p>
<p>«pH = –log<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{1.00 \times {{10}^{ - 14}}}}{{0.011}} = ">
<mfrac>
<mrow>
<mn>1.00</mn>
<mo>×</mo>
<mrow>
<msup>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mo>−</mo>
<mn>14</mn>
</mrow>
</msup>
</mrow>
</mrow>
<mrow>
<mn>0.011</mn>
</mrow>
</mfrac>
<mo>=</mo>
</math></span>» 12.04</p>
<p><em><strong>OR</strong></em></p>
<p>«pH = 14.00 – (–log 0.011)=» 12.04 ✔</p>
<p> </p>
<p><em>Award <strong>[3]</strong> for correct final answer.</em></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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"></p>
<p>decreasing pH curve ✔</p>
<p>pH close to 7 (6–8) at volume of 25 cm<sup>3</sup> butanoic acid ✔</p>
<p>weak acid/base shape with no flat «strong acid/base» parts on the curve ✔</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any two of:</em><br>butanoic acid forms more/stronger hydrogen bonds ✔<br>butanoic acid forms stronger London/dispersion forces ✔<br>butanoic acid forms stronger dipole–dipole interaction/force ✔</p>
<p> </p>
<p><em>Accept “butanoic acid forms dimers”</em></p>
<p><em>Accept “butanoic acid has larger M<sub>r</sub>/hydrocarbon chain/number of electrons” for M2.</em></p>
<p><em>Accept “butanoic acid has larger «permanent» dipole/more polar” for M3.</em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>lithium aluminium hydride/LiAlH<sub>4</sub> ✔</p>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>butan-1-ol/1-butanol/CH<sub>3</sub>CH<sub>2</sub>CH<sub>2</sub>CH<sub>2</sub>OH ✔</p>
<div class="question_part_label">e.ii.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.ii.</div>
</div>
<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><img src="data:image/png;base64,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"></p>
<p>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> = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{10^{ - 4.35}}/4.46683 \times {10^{ - 5}}">
<mrow>
<msup>
<mn>10</mn>
<mrow>
<mo>−</mo>
<mn>4.35</mn>
</mrow>
</msup>
</mrow>
<mrow>
<mo>/</mo>
</mrow>
<mn>4.46683</mn>
<mo>×</mo>
<mrow>
<msup>
<mn>10</mn>
<mrow>
<mo>−</mo>
<mn>5</mn>
</mrow>
</msup>
</mrow>
</math></span></p>
<p>[H<sub>3</sub>O<sup>+</sup>] = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\sqrt {4.46683 \times {{10}^{ - 5}} \times 1.60 \times {{10}^{ - 3}}} \,\,\,/\,\,\sqrt {7.1469 \times {{10}^{ - 8}}} \,\,/\,\,2.6734 \times {10^{ - 4}}">
<msqrt>
<mn>4.46683</mn>
<mo>×</mo>
<mrow>
<msup>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mo>−</mo>
<mn>5</mn>
</mrow>
</msup>
</mrow>
<mo>×</mo>
<mn>1.60</mn>
<mo>×</mo>
<mrow>
<msup>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mo>−</mo>
<mn>3</mn>
</mrow>
</msup>
</mrow>
</msqrt>
<mspace width="thinmathspace"></mspace>
<mspace width="thinmathspace"></mspace>
<mspace width="thinmathspace"></mspace>
<mrow>
<mo>/</mo>
</mrow>
<mspace width="thinmathspace"></mspace>
<mspace width="thinmathspace"></mspace>
<msqrt>
<mn>7.1469</mn>
<mo>×</mo>
<mrow>
<msup>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mo>−</mo>
<mn>8</mn>
</mrow>
</msup>
</mrow>
</msqrt>
<mspace width="thinmathspace"></mspace>
<mspace width="thinmathspace"></mspace>
<mrow>
<mo>/</mo>
</mrow>
<mspace width="thinmathspace"></mspace>
<mspace width="thinmathspace"></mspace>
<mn>2.6734</mn>
<mo>×</mo>
<mrow>
<msup>
<mn>10</mn>
<mrow>
<mo>−</mo>
<mn>4</mn>
</mrow>
</msup>
</mrow>
</math></span> «mol dm<sup>–3</sup>»</p>
<p>pH = «<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" - \log \sqrt {7.1469 \times {{10}^{ - 8}}} = ">
<mo>−</mo>
<mi>log</mi>
<mo></mo>
<msqrt>
<mn>7.1469</mn>
<mo>×</mo>
<mrow>
<msup>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mo>−</mo>
<mn>8</mn>
</mrow>
</msup>
</mrow>
</msqrt>
<mo>=</mo>
</math></span>» 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><span class="fontstyle0">A student performs a titration to determine the concentration of ethanoic acid, <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>CH</mi><mn>3</mn></msub><mi>COOH</mi></math></span><span class="fontstyle0">, in vinegar using potassium hydroxide.</span> </p>
</div>
<div class="specification">
<p><span class="fontstyle0">The pH curve for the reaction is given.</span></p>
<p><span class="fontstyle0"><img style="display: block; margin-left: auto; margin-right: auto;" src="data:image/png;base64,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" width="446" height="312"></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Write a balanced equation for the reaction.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Identify the </span><span class="fontstyle2"><strong>major</strong> </span><span class="fontstyle0">species, other than water and potassium ions, at these points.</span></p>
<p><span class="fontstyle0"><img src="data:image/png;base64,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" width="651" height="162"></span></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><span class="fontstyle0">State a suitable indicator for this titration. Use section 22 of the data booklet</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Suggest, giving a reason, which point on the curve is considered a buffer region.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">State the </span><math xmlns="http://www.w3.org/1998/Math/MathML"><msub><mi>K</mi><mi mathvariant="normal">a</mi></msub></math> <span class="fontstyle0">expression for ethanoic acid.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Calculate the </span><math xmlns="http://www.w3.org/1998/Math/MathML"><msub><mi>K</mi><mi mathvariant="normal">b</mi></msub></math> <span class="fontstyle0">of the conjugate base of ethanoic acid using sections 2 and 21 of the data booklet.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">In a titration, <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>25</mn><mo>.</mo><mn>00</mn><mo> </mo><msup><mi>cm</mi><mn>3</mn></msup></math></span><span class="fontstyle0"> </span><span class="fontstyle0">of vinegar required <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>20</mn><mo>.</mo><mn>75</mn><mo> </mo><msup><mi>cm</mi><mn>3</mn></msup></math> </span><span class="fontstyle0">of <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>1</mn><mo>.</mo><mn>00</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup></math></span><span class="fontstyle0"> </span><span class="fontstyle0">potassium hydroxide to reach the end-point.</span></p>
<p><span class="fontstyle0">Calculate the concentration of ethanoic acid in the vinegar.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Potassium hydroxide solutions can react with carbon dioxide from the air. The solution was made one day prior to using it in the titration.</span></p>
<p><span class="fontstyle0"> State the type of error that would result from the student’s approach.<br> </span></p>
<div class="marks">[1]</div>
<div class="question_part_label">f(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Potassium hydroxide solutions can react with carbon dioxide from the air. The solution was made one day prior to using it in the titration.</span></p>
<p><span class="fontstyle0">Predict, giving a reason, the effect of this error on the calculated concentration of ethanoic acid in 5(e).</span></p>
<p> </p>
<div class="marks">[2]</div>
<div class="question_part_label">f(ii).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>CH</mi><mn>3</mn></msub><mi>COOH</mi><mo>(</mo><mi>aq</mi><mo>)</mo><mo>+</mo><mi>KOH</mi><mo>(</mo><mi>aq</mi><mo>)</mo><mo>→</mo><msub><mi>CH</mi><mn>3</mn></msub><mi>COOK</mi><mo> </mo><mo>(</mo><mi>aq</mi><mo>)</mo><mo>+</mo><msub><mi mathvariant="normal">H</mi><mn>2</mn></msub><mi mathvariant="normal">O</mi><mo>(</mo><mi mathvariant="normal">l</mi><mo>)</mo></math> ✔</p>
<p><em>Accept the ionic equation.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>B: <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>CH</mi><mn>3</mn></msub><mi>COOH</mi><mo> </mo></math> <em><strong>AND</strong> <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>CH</mi><mn>3</mn></msub><msup><mi>COO</mi><mo>−</mo></msup></math></em> ✔</p>
<p>C: <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>CH</mi><mn>3</mn></msub><msup><mi>COO</mi><mo>−</mo></msup></math> ✔</p>
<p><em>Accept names.</em></p>
<p><em>Accept <math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mi>C</mi><msub><mi>H</mi><mn mathvariant="italic">3</mn></msub><mi>C</mi><mi>O</mi><mi>O</mi><mi>K</mi></math> for <math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mi>C</mi><msub><mi>H</mi><mn mathvariant="italic">3</mn></msub><mi>C</mi><mi>O</mi><msup><mi>O</mi><mo mathvariant="italic">−</mo></msup></math></em></p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>phenolphthalein ✔</p>
<p><em>Accept “phenol red” or “bromothymol </em><em>blue”.</em></p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>B <em><strong>AND</strong></em> the region where small additions «of the base/<math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi>KOH</mi></math> » result in little or no<br>change in <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi>pH</mi></math><br><em><strong>OR</strong></em><br>B <em><strong>AND</strong></em> the flattest region of the curve «at intermediate <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi>pH</mi></math>/before equivalence<br>point »<br><em><strong>OR</strong></em><br>B <em><strong>AND</strong></em> half the volume needed to reach equivalence point<br><em><strong>OR</strong></em><br>B <em><strong>AND</strong></em> similar amounts of weak acid/<math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>CH</mi><mn>3</mn></msub><mi>COOH</mi></math>/ethanoic acid <em><strong>AND</strong> </em>conjugate base/<math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>CH</mi><mn>3</mn></msub><msup><mi>COO</mi><mo>−</mo></msup></math>/ethanoate ✔</p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>K</mi><mi mathvariant="normal">a</mi></msub><mo>=</mo><mfrac><mrow><mfenced open="[" close="]"><mrow><msub><mi>CH</mi><mn>3</mn></msub><msup><mi>COO</mi><mo>-</mo></msup></mrow></mfenced><mfenced open="[" close="]"><mrow><msub><mi mathvariant="normal">H</mi><mn>3</mn></msub><msup><mi mathvariant="normal">O</mi><mo>+</mo></msup></mrow></mfenced></mrow><mfenced open="[" close="]"><mrow><msub><mi>CH</mi><mn>3</mn></msub><mi>COOH</mi></mrow></mfenced></mfrac></math></p>
<p>Accept <math xmlns="http://www.w3.org/1998/Math/MathML"><msup><mi>H</mi><mo>+</mo></msup></math> instead of <math xmlns="http://www.w3.org/1998/Math/MathML"><msub><mi>H</mi><mn>3</mn></msub><msup><mi>O</mi><mo>+</mo></msup></math>.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>«</mo><msub><mi>K</mi><mi mathvariant="normal">a</mi></msub><mo>=</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>4</mn><mo>.</mo><mn>76</mn></mrow></msup><mo>=</mo><mn>1</mn><mo>.</mo><mn>7</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>5</mn></mrow></msup><mo>»</mo></math><br><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>«</mo><msub><mi>K</mi><mi mathvariant="normal">w</mi></msub><mo>=</mo><msub><mi>K</mi><mi mathvariant="normal">a</mi></msub><mo>·</mo><msub><mi>K</mi><mi mathvariant="normal">b</mi></msub><mo>=</mo><mn>1</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>14</mn></mrow></msup><mo>=</mo><mn>1</mn><mo>.</mo><mn>7</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>5</mn></mrow></msup><mo>×</mo><msub><mi>K</mi><mi mathvariant="normal">b</mi></msub><mo>»</mo></math><br><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>«</mo><msub><mi mathvariant="normal">K</mi><mi mathvariant="normal">b</mi></msub><mo>=</mo><mo>»</mo><mn>5</mn><mo>.</mo><mn>8</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>10</mn></mrow></msup></math> ✔</p>
<p><em>Accept answers between <math xmlns="http://www.w3.org/1998/Math/MathML"><mn mathvariant="italic">5</mn><mo mathvariant="italic">.</mo><mn mathvariant="italic">7</mn><mo mathvariant="italic">−</mo><mn mathvariant="italic">5</mn><mo mathvariant="italic">.</mo><mn mathvariant="italic">9</mn><mo mathvariant="italic">×</mo><msup><mn mathvariant="italic">10</mn><mrow><mo mathvariant="italic">−</mo><mn mathvariant="italic">10</mn></mrow></msup></math></em>.</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>«</mo><mi mathvariant="normal">n</mi><mo>(</mo><mi>KOH</mi><mo>)</mo><mo>=</mo><mn>0</mn><mo>.</mo><mn>02075</mn><mo> </mo><msup><mi>dm</mi><mn>3</mn></msup><mo>×</mo><mn>1</mn><mo>.</mo><mn>00</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>−</mo><mn>3</mn></mrow></msup><mo>=</mo><mo>»</mo><mn>0</mn><mo>.</mo><mn>0208</mn><mo> </mo><mo>«</mo><mi>mol</mi><mo>»</mo></math> ✔</p>
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>«</mo><mi mathvariant="normal">n</mi><mo>(</mo><mi>KOH</mi><mo>)</mo><mo>=</mo><mi mathvariant="normal">n</mi><mo>(</mo><msub><mi>CH</mi><mn>3</mn></msub><mi>COOH</mi><mo>)</mo><mo>»</mo></math><br><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>«</mo><mo>[</mo><msub><mi>CH</mi><mn>3</mn></msub><mi>COOH</mi><mo>]</mo><mo>=</mo><mfrac><mrow><mn>0</mn><mo>.</mo><mn>0208</mn><mo> </mo><mi>mol</mi></mrow><mrow><mn>0</mn><mo>.</mo><mn>02500</mn><mo> </mo><msup><mi>dm</mi><mn>3</mn></msup></mrow></mfrac><mo>=</mo><mo>»</mo><mn>0</mn><mo>.</mo><mn>830</mn><mo> </mo><mo>«</mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>−</mo><mn>3</mn></mrow></msup><mo>»</mo></math> ✔</p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>systematic «error» ✔</p>
<div class="question_part_label">f(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mfenced open="[" close="]"><mrow><msub><mi>CH</mi><mn>3</mn></msub><mi>COOH</mi></mrow></mfenced></math> would be higher ✔</p>
<p>actual <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfenced open="[" close="]"><mi>KOH</mi></mfenced></math> is lower «than the value in calculation»<br><em><strong>OR</strong></em><br>larger volume of <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi>KOH</mi></math> «solution» needed to neutralize the acid ✔</p>
<p><em>Accept <math xmlns="http://www.w3.org/1998/Math/MathML"><mi>K</mi><mi>O</mi><mi>H</mi></math> partially neutralised by <math xmlns="http://www.w3.org/1998/Math/MathML"><mi>C</mi><msub><mi>O</mi><mn>2</mn></msub></math> from air.</em></p>
<div class="question_part_label">f(ii).</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Most candidates could write a balanced neutralization equation.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Identifying species present at various points along a pH titration curve was one of the most poorly answered questions in the exam. Very few candidates realized there were two major species at point B even when they were able in general to realize that B was a buffer zone.</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Almost all candidates could identify a suitable indicator to use in a titration of a weak acid with a strong base.</p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most students could identify a buffer zone region in a titration but very few (50%) could coherently explain why.</p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Poorly answered with only 50% correctly writing a K<sub>a</sub> expression. The major error was in candidates trying to calculate a K<sub>a</sub> rather than write an expression for it.</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>
<div class="question" style="padding-left: 20px;">
<p>Like with other calculations in this exam, the majority of candidates could correctly determine a concentration from titration data.</p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>80% of candidates could identify the method used as a systematic error, with some stating human or random error.</p>
<div class="question_part_label">f(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates identified that the systematic error would result in the concentration of the alkali being lowered but then failed to propagate this through to the effect on the concentration of the acid.</p>
<div class="question_part_label">f(ii).</div>
</div>
<br><hr><br><div class="specification">
<p>Graphing is an important tool in the study of rates of chemical reactions.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The graph represents the titration of 25.00 cm<sup>3</sup> of 0.100 mol dm<sup>−3</sup> aqueous ethanoic acid with 0.100 mol dm<sup>−3</sup> aqueous sodium hydroxide.</p>
<p><img src="images/Schermafbeelding_2018-08-08_om_13.41.48.png" alt="M18/4/CHEMI/HP2/ENG/TZ2/02.d.i_01"></p>
<p>Deduce the <strong>major </strong>species, other than water and sodium ions, present at points A and B during the titration.</p>
<p><img src="data:image/png;base64,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"></p>
<p> </p>
<div class="marks">[2]</div>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the pH of 0.100 mol dm<sup>−3</sup> aqueous ethanoic acid.</p>
<p><em>K</em><sub>a</sub> = 1.74 × 10<sup>−5</sup></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>Outline, using an equation, why sodium ethanoate is basic.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Predict whether the pH of an aqueous solution of ammonium chloride will be greater than, equal to or less than 7 at 298 K.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Formulate the equation for the reaction of nitrogen dioxide, NO<sub>2</sub>, with water to form two acids.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Formulate the equation for the reaction of one of the acids produced in (e)(i) with calcium carbonate.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e.ii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>A: CH<sub>3</sub>COOH/ethanoic/acetic acid <strong><em>AND </em></strong>CH<sub>3</sub>COO<sup>–</sup>/ethanoate/acetate ions</p>
<p>B: CH<sub>3</sub>COO<sup>–</sup>/ethanoate/acetate ions</p>
<p> </p>
<p><em>Penalize “sodium ethanoate/acetate” </em><em>instead of “ethanoate/acetate ions” only </em><em>once.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{K_{\text{a}}} = 1.74 \times {10^{ - 5}} = \frac{{{{{\text{[}}{{\text{H}}^ + }{\text{]}}}^2}}}{{0.10}}">
<mrow>
<msub>
<mi>K</mi>
<mrow>
<mtext>a</mtext>
</mrow>
</msub>
</mrow>
<mo>=</mo>
<mn>1.74</mn>
<mo>×</mo>
<mrow>
<msup>
<mn>10</mn>
<mrow>
<mo>−</mo>
<mn>5</mn>
</mrow>
</msup>
</mrow>
<mo>=</mo>
<mfrac>
<mrow>
<mrow>
<msup>
<mrow>
<mrow>
<mtext>[</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>H</mtext>
</mrow>
<mo>+</mo>
</msup>
</mrow>
<mrow>
<mtext>]</mtext>
</mrow>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</mrow>
<mrow>
<mn>0.10</mn>
</mrow>
</mfrac>
</math></span></p>
<p><strong><em>OR</em></strong></p>
<p>[H<sup>+</sup>] = 1.32 × 10<sup>–3</sup> <strong>«</strong>mol dm<sup>–3</sup><strong>»</strong></p>
<p><strong>«</strong>pH =<strong>» </strong>2.88</p>
<p> </p>
<p><em>Accept </em><strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>«</strong>forms weak acid and strong base, thus basic<strong>»</strong></p>
<p>CH<sub>3</sub>COO<sup>–</sup>(aq) + H<sub>2</sub>O(l) <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
<mo stretchy="false">⇌</mo>
</math></span> CH<sub>3</sub>COOH(aq) + OH<sup>–</sup>(aq)</p>
<p> </p>
<p><em>Accept →</em><em> </em><em>for <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
<mo stretchy="false">⇌</mo>
</math></span></em><em>.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">d.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>less than 7</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">d.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>2NO<sub>2</sub>(g) + H<sub>2</sub>O(l) → HNO<sub>2</sub>(aq) + HNO<sub>3</sub>(aq)</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>2HNO<sub>2</sub>(aq) + CaCO<sub>3</sub>(s) → Ca(NO<sub>2</sub>)<sub>2</sub>(aq) + CO<sub>2</sub>(g) + H<sub>2</sub>O(l)</p>
<p><strong><em>OR</em></strong></p>
<p>2HNO<sub>3</sub>(aq) + CaCO<sub>3</sub>(s) → Ca(NO<sub>3</sub>)<sub>2</sub>(aq) + CO<sub>2</sub>(g) + H<sub>2</sub>O(l)</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">e.ii.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.ii.</div>
</div>
<br><hr><br><div class="specification">
<p>This question is about the weak acid methanoic acid, HCOOH.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the pH of 0.0100 mol dm<sup>–3</sup> methanoic acid stating any assumption you make. <em>K</em><sub>a </sub>= 1.6 × 10<sup>–4</sup>.</p>
<p><img src="data:image/png;base64,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" alt></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) Sketch a graph of pH against volume of a strong base added to a weak acid showing how you would determine p<em>K</em><sub>a</sub> for the weak acid.</p>
<p><img 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" alt></p>
<p>(ii) Explain, using an equation, why the pH increases very little in the buffer region when a small amount of alkali is added.</p>
<div class="marks">[4]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><em>Calculation:</em></p>
<p><em><strong>ALTERNATIVE 1:<br></strong></em>[H<sup>+</sup>] = (K<sub>a</sub> × [HA])<sup>1/2</sup> / (1.6 × 10<sup>–4</sup> × 0.0100)<sup>1/2</sup> / 1.3 × 10<sup>–3</sup> «mol dm<sup>–3</sup>»</p>
<p>pH = «–log<sub>10</sub>[H<sup>+</sup>] ≈» 2.9</p>
<p><em><strong>ALTERNATIVE 2:<br></strong></em>pH = 0.5(p<em>K</em><sub>a</sub> - log<sub>10</sub>[HA])<br>pH = 2.9</p>
<p><em>Award <strong>[2]</strong> for correct final answer</em></p>
<p><em>Assumption</em>:<br>ionisation is << 0.0100 so 0.0100 - [A<sup>–</sup>] ≈ 0.0100<br><em><strong>OR<br></strong></em>[HA]<sub>eqm</sub> = [HA]<sub>initial <br></sub><em><strong>OR <br></strong></em>all H<sup>+</sup> ions in the solution come from the acid «and not from the self-ionisation of water»<br><em><strong>OR<br></strong></em>[H<sup>+</sup>] = [HCOO<sup>–</sup>]</p>
<p><em>Do not accept partial dissociation</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>i</p>
<p><img 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" alt></p>
<p>correct shape of graph<br>pH at half neutralization/equivalence</p>
<p><em>M1: must show buffer region at pH < 7 and equivalence at pH > 7. <br>Accept graph starting from where two axes meet as pH scale is not specified.</em></p>
<p> </p>
<p>ii</p>
<p><em><strong>ALTERNATIVE 1: </strong></em></p>
<p>HCOOH <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABIAAAAQCAYAAAAbBi9cAAAA7klEQVQ4EWP8////fwYqACYqmAE2YgAN+nmVYUpmK8Ph9/9QPQMKI9LAn//P1qX8N/ed8P/SF4ROBgSTFNaX/xd7Pf4bhM35f/M7RB8jiGJg+MvwfFU0g3v1WYbvqA7Gzfv/h+H7l38MSskLGNY2OTJADcKtnlgZFpjCv+9vMVy6/YHhN0yAWJpZgEHVQI0BbhAj0weG7cVODNXXtRg8baQY2Ig0iJHHlKFiRjUDSmD/fXf4f52j8f+0jc///yEl7EHhjK7+z4tt//Ntvf/3XESKW3RFWPgYBoHU/Hyw7f+i/aS5imqxNoB5DUdsAgBmDYikKRR8sAAAAABJRU5ErkJggg==" alt> HCOO<sup>–</sup> + H<sup>+ <br></sup>H<sup>+</sup> ions consumed in reaction with OH<sup>–</sup> are produced again as equilibrium moves to the right «so [H<sup>+</sup>] remains almost unchanged»</p>
<p><em><strong>ALTERNATIVE</strong> <strong>2</strong></em>:<br>HCOOH + OH<sup>–</sup> <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABIAAAAQCAYAAAAbBi9cAAAA7klEQVQ4EWP8////fwYqACYqmAE2YgAN+nmVYUpmK8Ph9/9QPQMKI9LAn//P1qX8N/ed8P/SF4ROBgSTFNaX/xd7Pf4bhM35f/M7RB8jiGJg+MvwfFU0g3v1WYbvqA7Gzfv/h+H7l38MSskLGNY2OTJADcKtnlgZFpjCv+9vMVy6/YHhN0yAWJpZgEHVQI0BbhAj0weG7cVODNXXtRg8baQY2Ig0iJHHlKFiRjUDSmD/fXf4f52j8f+0jc///yEl7EHhjK7+z4tt//Ntvf/3XESKW3RFWPgYBoHU/Hyw7f+i/aS5imqxNoB5DUdsAgBmDYikKRR8sAAAAABJRU5ErkJggg==" alt> HCOO<sup>–</sup> + H<sub>2</sub>O<br>added OH<sup>-</sup> are neutralized by HCOOH<br><em><strong>OR<br></strong></em>strong base replaced by weak base </p>
<p><em>Accept HA or any other weak acid in equations.<br>Equilibrium sign must be included in equation for M1</em></p>
<div class="question_part_label">b.</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>
<br><hr><br><div class="specification">
<p>50.00 cm<sup>3</sup> of 0.75 mol dm<sup>−3</sup> sodium hydroxide was added in 1.00 cm<sup>3</sup> portions to 22.50 cm<sup>3</sup> of 0.50 mol dm<sup>−3</sup> chloroethanoic acid.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the initial pH before any sodium hydroxide was added, using section 21 of the data booklet.</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>The concentration of excess sodium hydroxide was 0.362 mol dm<sup>−3</sup>. Calculate the pH of the solution at the end of the experiment.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Sketch the neutralisation curve obtained <strong>and</strong> label the equivalence point.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[3]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>«<em>K</em>a = 10<sup>–2.87</sup> = 1.35 × 10<sup>–3</sup> »</p>
<p>«1.35 × 10<sup>–3</sup> = <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfrac><mrow><mfenced open="[" close="]"><mi>chloroethanoate</mi></mfenced><mo>×</mo><mfenced open="[" close="]"><msup><mi mathvariant="normal">H</mi><mo>+</mo></msup></mfenced></mrow><mrow><mn>0</mn><mo>.</mo><mn>50</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow></mfrac><mo>=</mo><mfrac><msup><mi mathvariant="normal">x</mi><mn>2</mn></msup><mrow><mn>0</mn><mo>.</mo><mn>50</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow></mfrac></math> »</p>
<p>«x = [H<sup>+</sup>] =<math xmlns="http://www.w3.org/1998/Math/MathML"><msqrt><mn>1</mn><mo>.</mo><mn>4</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>×</mo><mn>0</mn><mo>.</mo><mn>50</mn></msqrt></math>=» 2.6 × 10<sup>–2</sup> «mol dm<sup>–3</sup>» ✔</p>
<p><br>«pH = –log[H<sup>+</sup>] = –log(2.6 × 10<sup>–2</sup>) =» 1.59 ✔</p>
<p> </p>
<p><em>Accept final answer in range 1.58–1.60.</em></p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«pOH = –log(0.362) = 0.441»</p>
<p>«pH = 14.000 – 0.441 =» 13.559 ✔</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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"></p>
<p><em><strong>OR</strong></em></p>
<p><img src="data:image/png;base64,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"></p>
<p>starts at 1.6 <em><strong>AND</strong> </em>finishes at 13.6 ✔</p>
<p>approximately vertical at the correct volume of alkali added ✔</p>
<p>equivalence point labelled <em><strong>AND</strong> </em>above pH 7 ✔</p>
<p> </p>
<p><em>Accept any range from 1.1-1.9 <strong>AND </strong>13.1-13.9 for <strong>M1</strong> or ECF from 11c(i) and 11c(ii).</em></p>
<p><em>Award <strong>M2</strong> for vertical climb at 28 cm<sup>3</sup> <strong>OR</strong> 15 cm<sup>3</sup>.</em></p>
<p><em>Equivalence point must be labelled for <strong>M3</strong>.</em></p>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</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>Propanoic acid, CH<sub>3</sub>CH<sub>2</sub>COOH, is a weak organic acid.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the pH of 0.00100 mol dm<sup>–3</sup> propanoic acid solution. Use section 21 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>Sketch the general shape of the variation of pH when 50 cm<sup>3</sup> of 0.001 mol dm<sup>–3</sup> NaOH (aq) is gradually added to 25 cm<sup>3</sup> of 0.001 mol dm<sup>–3</sup> CH<sub>3</sub>CH<sub>2</sub>COOH (aq).</p>
<p style="text-align:center;"><img 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"></p>
<div class="marks">[3]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><em>K</em><sub>a</sub> = 10<sup>−4.87</sup> / 1.35 × 10<sup>−5</sup> ✔</p>
<p>[H<sup>+</sup>] = «<math xmlns="http://www.w3.org/1998/Math/MathML"><msqrt><mn>1</mn><mo>.</mo><mn>35</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>5</mn></mrow></msup><mo>×</mo><mn>0</mn><mo>.</mo><mn>001</mn></msqrt><mo>=</mo><msqrt><mn>1</mn><mo>.</mo><mn>35</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>8</mn></mrow></msup></msqrt><mo>=</mo></math>» 1.16 × 10<sup>−4</sup> «mol dm<sup>−3</sup>» ✔</p>
<p>pH = 3.94 ✔</p>
<p><em><br>Accept alternative methods of calculation.</em></p>
<p><em>Award<strong> [3]</strong> for correct final answer.</em></p>
<p><em>Award <strong>[3]</strong> for 3.96 {answer if solved by quadratic}.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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"></p>
<p><em>Any three of:</em></p>
<p>correct “S” shape ✔</p>
<p>equivalence point at 25 cm<sup>3</sup> ✔</p>
<p>final pH tends to 11 ✔</p>
<p>pH at equivalence point >7 ✔</p>
<p>starting pH between 3.8 - 4 ✔</p>
<p>pH at half equivalence approx. 5 ✔</p>
<p><em><br>Do not penalize for incorrect points.<br></em><em>Award any 3 correct.</em></p>
<div class="question_part_label">b.</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>
<br><hr><br><div class="specification">
<p>The overall equation for the production of hydrogen cyanide, HCN, is shown below.</p>
<p style="text-align: center;">CH<sub>4</sub> (g) + NH<sub>3</sub> (g) +<math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mn>3</mn><mn>2</mn></mfrac></math>O<sub>2</sub> (g) → HCN (g) + 3H<sub>2</sub>O (g)</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State why NH<sub>3</sub> is a Lewis base.</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>Calculate the pH of a 1.00 × 10<sup>−2</sup> mol dm<sup>−3</sup> aqueous solution of ammonia.</p>
<p style="text-align:center;">p<em>K</em><sub>b</sub> = 4.75 at 298 K.</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>Justify whether a 1.0 dm<sup>3</sup> solution made from 0.10 mol NH<sup>3</sup> and 0.20 mol HCl will form a buffer solution.</p>
<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>Sketch the shape of one sigma (<math xmlns="http://www.w3.org/1998/Math/MathML"><mtext>σ</mtext></math>) and one pi (<math xmlns="http://www.w3.org/1998/Math/MathML"><mi mathvariant="normal">π</mi></math>) bond.</p>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAsgAAAElCAYAAAD5mRS3AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAA+uSURBVHhe7d19jNR3ncDxTzeENmVL6EpbRJwWCCHASZAHo4H04RDLecpt4Kxn0WYF3KjX1qPqoW3sNVV6Rb2iWLGHhVvhNF61zcip6YMV2mtPW2DlqKC44aEj0m3LrQS3PUq47c0uP/ADLAJea7rL65VMmPnOb4bZmX/e+81nfnvWy1UBAAB0qSn+BQAAqgQyAAAkAhkAAJJuZ5BLpSHFNQAA6N0qlV3FtUNOGMjHHggAAL1Nd91rxAIAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAASc8N5I7WaC7fEfNGDYlSqbhMvyma1rZEe3FIxK+jPG9slOaVo7VYee3YG82L3xvTF69Lr/dk/pjHAABwOnpoIFdD8csfifpP/yqmlLdEpbKretkSD3/yonjsI++Kvz4SkG+M+rs3ReXu+hjUdfu1oiPam1fGjctGxqfmTojaYvXkBsT4uR+JCctui6837y3WAAB4JfXMQD64PR75xrqoa2yM94/sXyz2jxFTr473z7wgtnzjP+JXB4vl16KOXfGjZfdE3wWz49L+p/kR9H9rNCw4N5YtWxu7O4o1AABeMT16BvmlzZtjW3uuxIFx+cLHorLxhhjfp/P2sSMWB6J13V2/H8sYNTe+8IW5Map0bZRbq0XdWo55pbfEvMV3xk3TRx45ZskTzfHEks7jOh83MqbfVI6Ww//vCUY9VjW3xon6tWPbj2PFDy+OmZMvTh/Avmh5eMnRz5MvR36Gc2L45Gkx4offiQe37a/ePlh92ddWj7kyFjcbvAAA+P/qmYHc58/ivbfMinjw0zFt9FurQfvtKJcf/X20dqtzrOGuaJi1ImLBA7Glsj2eXDkptq54IF4ojjhkdzz4wHMx6SvrorLlgbh18lPxxfe8L/5hz9WxZmcltpT/NmLVgvj4d1uqz7g/WlZ+/KhRj51P3hOfGPJQ3DR7aTy6r7vXsz+2Pf5QbKybEGOHnlOsHYjd5c/EjGv/K8auXB87u57nGzHvAzfHvU9uPzRCksZEaoaOjSvq1sd9jz9dfQ19YlD9ndVjHoj54099WAMAgO710B3kvjG4/guxpnx3LLl1Wuxa/Im4/vqrY+roUoyatyQebtlXHJe1xfp774kt4z4aC64ZE7XV5xg0qSEWLLisuP+wfjHub2bHjBH9I2qHx+QpI6pr0+LDH70sBtXURO3YKXFl3QtR+e0L1Tg9J0Y0fDMqv6iGdzHqUTNofPxF52NeaIu9L3YXyM/H5seeipg4LAZ37XJXHfx5/Nst98eIBX8f104a1PWh1Ay6Im6YtT8+03BXNB8b/n0uiKETz46Nj/0iniuWAAB4ZfTgEYtq4I6fHvUNC+P+rh3X1fHVL90Qkx//fHzwuqbjo/JgJX72g51Rd8XYGHrkp+4bF10yvJrE2dlx4YBzizemT5w34PyIumFRGni4Zo/X0doc/14uR7l8XzTd9J6YevMjxT0nVjemFAOL67GnEpvbLokrxr4hfSBFjLfeE/eubyvWDjs/SmNeH/Hc3vjdH9o0BwDgtPXgQD5a587tu2f+XdzxtTnRb8sP4pFfvVjc82o6EK1rPxfvfMv74qvr/rt6uyYGTFsY5VuP3ZU+iXMHxEX9nonNld8WC9nO+MHPKvFa/s4hAEBv0gMDuSP2rb05RpVmR1NL55fUspo4t/+AODsGxvnnHbPj26cUb/7LS6JtzabYcWTX9UA8u3PbMTPIp6FjR9x/x6p4+gP/HPcsnBv19fVRf/ng2NfydHHAibVtrsSe4nrUDotJl50Tj9+/4egzU7y4L/a81C9K5/c75oP6bVQ2PxNx4YA4r9f8igMA8NrQA/OqJvpPfHc0jl4fN1/32aPOFtHR+p+xdOl9MahhTkwffvgLcIfVxcRZV8XojUtj0crN0V59VPvW78SiRScfhzihmtfFJW+6IF7Y8Fg0tx6oLuyLlvKSuH3VzkP3d+uCGDPlTRHrt8fuw9vCNUPi7fOvi8mPLIg5nynOkNG+NcqL/ilWxfSY846hR39QB5+PHetfinFTRsWFxRIAAK+Mnrn/WDsp5n/3+7Gy8XXxyOyJcUlxKrRLrlge//uuJdF0y9QYdNxPVhO14z8cTffOiVh0ZYwulWL0x34eY2a+ubj/jzEwLr3u8/GJIavjmrcMq76GSXHduoujcf6V0S82xrpfdvfHPA6dpm1c24bYtOPwDnj1tY2cHV9afWdc+extXV82LI2eGp9+dlr8y+rPRv3gvsVxh3Ts2BRr2iYWp4lzmjcAgFfSWS9XFdeP6IzNzlOL9X77o6VpbkxdNDxWPnFLXH66f7Tjj9VRifJHr44Vb10e5YaRp/lbyqHXPOOn74mHl9bH4J75Kw4AwGtCd917BuXVnlh705QoTf9crO0ah+iI9pb7o+nbT8XoxnfHxD9VHHfqHKlovCoOLPrmCc6V/Afs+2k0LXoxGhsvF8cAAK+CMyixOschFsfCCU8U4xClGD11ecTs5dH0sUnxp/0TG53jHtfEbY1b4/blG+LUByP2RvPyr8WGxhvjQ+MHFGsAALySzvARCwAAzmRn+IgFAACcnEAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkPTOQDzbH4nFDolQ6/jJq3pJ4uGVfceCvozxvbJTmlaO1WDleR7Q3L4np05dEc3tHsXYS7eti8fT3xuLmvcUCAAC9RY/eQa6bvzq2V3ZF5fBly8Pxjxc9FB+c8cVYu68zdt8Y9Xdvisrd9THo0EOO174hvn7j92LCp66O8bWn+HbUToi5nxoZy25ceepRDQBAj9C7RixqR8aMhlkx7oUfx0PNbcXiH3Igdv/oX2NZ3w9Ew6UDi7VTURP9L50dC/reE8t+tCskMgBA79HLZ5BPMmLRsSMeXLEmRsx8Wwzveic6on3rqpg3qvvxjdK4O6L5YNcjq+/cxTF55sXxwxU/jm1dhVz8X/kYAAB6nN4VyO1bY3XTvbFx9FUxa2JdsXhiHdt+EvdtfH1cMfYNh96I9g2xYmVNfHLdlijPvzLml38ZlSfvjHdEfSx5cmdUNt4Q4/t0PbTqnBg6dkLUbXwoHt+2v3q7GOc46hgAAHqaHh3IbYtnxLC8wzt6RtwVs2LlVxpOYZ74YDy3eX1sjBExdPA5h5ZqJ8X1C2fHyNoDsW9PZ/RWI/p3e+O5fnUx4Nzjn6/P4GExMZ6KxzY/X6wAANDT9ehAPu5LepWtcf/Chrh8RP/iiFNQNyxKA4/d8v2f2Pvs67vCueN3bVE5e0D07yaQY2ApxtS9FM/tfdEcMgBAL9GjA/lVc/D52LH+0A4yAABnFoHctj0qe47+Vl3Hjk2xJrrbWT7Gnkpsbjs7LhxwrjcSAKCXOIO7rk9cOGZijIuW2LE77xbvjY3f/15snDgsBlf7uOa8uii99HRUnmmJ8q3fjpY0S3Fw9/ZYH2+KKWMuKFYAAOjpzuiNz5rhb4uZ456JNZt+8/sZ4ta1sXTxb+Kd7xofF1Zv1gz/85hz2U/i+sk3RPOllxang+u0P3Zs2hBt46bF5OGdX/JzmjcAgN7grJeriutHdJ4RovNLb73fgdhd/mRMXfHmWF1uiBGn8+tCx9Zoqp8bP53zrVhaXzJiAQDQA3XXvWd41/WNwW9/fzQeWBVNj+4p1k5FR+x79Jux6MBV0fj2IeIYAKAX0Xa1E+JDt/1VbLj9W9Hcfoona2vfEMtv3xqNt11zCudbBgCgJznDRywAADiTGbEAAICTEMgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASAQyAAAkAhkAABKBDAAAiUAGAIBEIAMAQCKQAQAgEcgAAJAIZAAASM56uaq4fkSpNKS4BgAAvVulsqu4dki3gQwAAGcqIxYAAJAIZAAASAQyAAAcEfF/myWhSGlxN8oAAAAASUVORK5CYII="></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>Identify the number of sigma and pi bonds in HCN.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[1]</div>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the hybridization of the carbon atom in HCN.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest why hydrogen chloride, HCl, has a lower boiling point than hydrogen cyanide, HCN.</p>
<p style="text-align:center;"><img src="data:image/png;base64,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"></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>Explain why transition metal cyanide complexes are coloured.</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>donates «lone/non-bonding» pair of electrons ✔</p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Kb</em> = 10<sup>-4.75</sup> /1.78 x 10<sup>-5</sup><br><em><strong>OR</strong></em><br><em>Kb</em> = <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfrac><msup><mfenced open="[" close="]"><msup><mi>OH</mi><mo>-</mo></msup></mfenced><mn>2</mn></msup><mfenced open="[" close="]"><msub><mi>NH</mi><mn>3</mn></msub></mfenced></mfrac></math> ✔</p>
<p> </p>
<p>[OH<sup>–</sup>] = « <math xmlns="http://www.w3.org/1998/Math/MathML"><msqrt><mfenced><mrow><mn>1</mn><mo>.</mo><mn>00</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>2</mn></mrow></msup><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>4</mn><mo>.</mo><mn>75</mn></mrow></msup></mrow></mfenced></msqrt></math> =» 4.22 × 10<sup>–4</sup> «(mol dm<sup>–3</sup>)» ✔</p>
<p> </p>
<p>pOH« = –log<sub>10</sub> (4.22 × 10<sup>–4</sup>)» = 3.37<br><em><strong>AND</strong></em><br>pH = «14 – 3.37» = 10.6<br><em><strong><br>OR</strong></em><br><br>[H<sup>+</sup>]« =<math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mrow><mn>1</mn><mo>.</mo><mn>00</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>14</mn></mrow></msup></mrow><mrow><mn>4</mn><mo>.</mo><mn>22</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>4</mn></mrow></msup></mrow></mfrac></math>» = 2.37 × 10<sup>–11</sup><br><em><strong>AND</strong></em><br>pH« = –log<sub>10</sub> 2.37 × 10<sup>–11</sup>» = 10.6 ✔</p>
<p> </p>
<p><em>Award <strong>[3]</strong> for correct final answer.</em></p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>no <em><strong>AND</strong> </em>is not a weak acid conjugate base system</p>
<p><em><strong>OR</strong></em></p>
<p>no <em><strong>AND</strong> </em>weak base «totally» neutralized/ weak base is not in excess</p>
<p><em><strong>OR</strong></em></p>
<p>no <em><strong>AND</strong> </em>will not neutralize small amount of acid ✔</p>
<p> </p>
<p><em>Accept “no <strong>AND</strong> contains 0.10 mol NH<sub>4</sub>Cl + 0.10 mol HCl”.</em></p>
<div class="question_part_label">a(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Sigma (<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>σ</mi></math>):</em></p>
<p> <img src="data:image/png;base64,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"></p>
<p> </p>
<p><em>Pi (<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>π</mi></math>):</em></p>
<p><img src="data:image/png;base64,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"></p>
<p> </p>
<p><em>Accept overlapping p-orbital(s) with both lobes of equal size/shape.</em></p>
<p><em>Shaded areas are not required in either diagram.</em></p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Sigma (<math xmlns="http://www.w3.org/1998/Math/MathML"><mtext>σ</mtext></math>): 2 <em><strong>AND</strong> </em>Pi (<math xmlns="http://www.w3.org/1998/Math/MathML"><mi mathvariant="normal">π</mi></math>): 2 ✔</p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>sp ✔</p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>HCN has stronger dipole–dipole attraction ✔</p>
<p> </p>
<p><em>Do <strong>not</strong> accept reference to H-bonds.</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any three from:</em></p>
<p>partially filled d-orbitals ✔</p>
<p>«CN- causes» d-orbitals «to» split ✔</p>
<p>light is absorbed as electrons transit to a higher energy level «in d–d transitions»<br><em><strong>OR</strong></em><br>light is absorbed as electrons are promoted ✔</p>
<p>energy gap corresponds to light in the visible region of the spectrum ✔</p>
<p> </p>
<p><em>Do <strong>not</strong> accept “colour observed is the complementary colour” for M4.</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>The main error was the omission of lone electron "pair", though there was also a worrying amount of very confused answers for a very basic chemistry concept where 40% provided very incorrect answers.</p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Rather surprisingly, many students got full marks for this multi-step calculation; others went straight to the pH/pKa acid/base equation so lost at least one of the marks: students often seem less prepared for base calculations, as opposed to acid calculations.</p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Poorly answered revealing little understanding of buffering mechanisms, which is admittedly a difficult topic.</p>
<div class="question_part_label">a(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This proved to be the most challenging question (10%). It was a good question, where candidates had to explain a huge difference in boiling point of two covalent compounds, requiring solid understanding of change of state where breaking bonds cannot be involved). Yet most considered the triple bonds in HCN as the cause, suggesting covalent bonds break when substance boil, which is very worrying. Others considered H-bonds which at least is an intermolecular force, but shows they are not too familiar with the conditions necessary for H-bonding.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This question appears frequently in exams but with slightly different approaches. In general candidates ignore the specific question and give the same answers, failing in this case to describe why complexes are coloured rather than what colour is seen. These answers appear to reveal that many candidates don't really understand this phenomenon, but learn the answer by heart and make mistakes when repeating it, for example, stating that the ‘d-orbitals of the ligands were split’- an obvious misconception. The average mark was 1.6/3, with a MS providing 4 ideas that would merit a mark</p>
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p>When heated in air, magnesium ribbon reacts with oxygen to form magnesium oxide.</p>
</div>
<div class="specification">
<p>The reaction in (a)(i) was carried out in a crucible with a lid and the following data was recorded:</p>
<p style="text-align: right;">Mass of crucible and lid = 47.372 ±0.001 g</p>
<p style="text-align: right;">Mass of crucible, lid and magnesium ribbon before heating = 53.726 ±0.001 g</p>
<p style="text-align: right;">Mass of crucible, lid and product after heating = 56.941 ±0.001 g</p>
<p style="text-align: left;"> </p>
</div>
<div class="specification">
<p>When magnesium is burnt in air, some of it reacts with nitrogen to form magnesium nitride according to the equation:</p>
<p style="text-align: center;">3 Mg (s) + N<sub>2 </sub>(g) → Mg<sub>3</sub>N<sub>2 </sub>(s)</p>
</div>
<div class="specification">
<p>The presence of magnesium nitride can be demonstrated by adding water to the product. It is hydrolysed to form magnesium hydroxide and ammonia.</p>
</div>
<div class="specification">
<p>Most nitride ions are <sup>14</sup>N<sup>3–</sup>.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Write a balanced equation for the reaction that occurs.</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>Identify a metal, in the same period as magnesium, that does <strong>not</strong> form a basic oxide.</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>Calculate the amount of magnesium, in mol, that was used.</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 percentage uncertainty of the mass of product after heating.</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>Assume the reaction in (a)(i) is the only one occurring and it goes to completion, but some product has been lost from the crucible. Deduce the percentage yield of magnesium oxide in the crucible.</p>
<p> </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>Evaluate whether this, rather than the loss of product, could explain the yield found in (b)(iii).</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>Suggest an explanation, other than product being lost from the crucible or reacting with nitrogen, that could explain the yield found in (b)(iii).</p>
<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>Calculate coefficients that balance the equation for the following reaction.</p>
<p style="text-align:left;"><img src="data:image/png;base64,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"></p>
<div class="marks">[1]</div>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Ammonia is added to water that contains a few drops of an indicator. Identify an indicator that would change colour. Use sections 21 and 22 of the data booklet.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine the oxidation state of nitrogen in Mg<sub>3</sub>N<sub>2</sub> and in NH<sub>3</sub>.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[1]</div>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce, giving reasons, whether the reaction of magnesium nitride with water is an acid–base reaction, a redox reaction, neither or both.</p>
<p><img 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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">d(iv).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the number of subatomic particles in this ion.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[1]</div>
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Some nitride ions are <sup>15</sup>N<sup>3–</sup>. State the term that describes the relationship between <sup>14</sup>N<sup>3–</sup> and <sup>15</sup>N<sup>3–</sup>.</p>
<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>The nitride ion and the magnesium ion are isoelectronic (they have the same electron configuration). Determine, giving a reason, which has the greater ionic radius.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest, giving a reason, whether magnesium or nitrogen would have the greater sixth ionization energy.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e(iv).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest <strong>two</strong> reasons why atoms are no longer regarded as the indivisible units of matter.</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>State the types of bonding in magnesium, oxygen and magnesium oxide, and how the valence electrons produce these types of bonding.</p>
<p><img 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"></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>2 Mg(s) + O<sub>2</sub>(g) → 2 MgO(s) ✔</p>
<p> </p>
<p><em>Do not accept equilibrium arrows. Ignore state symbols</em></p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>aluminium/Al ✔</p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>⟨</mo><mo>⟨</mo><mfrac><mrow><mn>53</mn><mo>.</mo><mn>726</mn><mo> </mo><mi mathvariant="normal">g</mi><mo>-</mo><mn>47</mn><mo>.</mo><mn>372</mn><mo> </mo><mi mathvariant="normal">g</mi></mrow><mrow><mn>244</mn><mo>.</mo><mn>31</mn><mo> </mo><mi mathvariant="normal">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></mfrac><mo>=</mo><mfrac><mrow><mn>6</mn><mo>.</mo><mn>354</mn><mo> </mo><mi mathvariant="normal">g</mi></mrow><mrow><mn>24</mn><mo>.</mo><mn>31</mn><mo> </mo><mi mathvariant="normal">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></mfrac><mo>⟩</mo><mo>⟩</mo><mo>=</mo><mn>0</mn><mo>.</mo><mn>2614</mn><mo> </mo><mo>«</mo><mi>mol</mi><mo>»</mo><mo>✔</mo></math></p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>mass of product <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>«</mo><mo>=</mo><mn>56</mn><mo>.</mo><mn>941</mn><mo> </mo><mi mathvariant="normal">g</mi><mo>-</mo><mn>47</mn><mo>.</mo><mn>372</mn><mo> </mo><mi mathvariant="normal">g</mi><mo>»</mo><mo>=</mo><mn>9</mn><mo>.</mo><mn>569</mn><mo> </mo><mo>«</mo><mi mathvariant="normal">g</mi><mo>»</mo></math> ✔</p>
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mtext>⟨⟨100 × </mtext><mfrac><mrow><mn>2</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>001</mn><mo> </mo><mi mathvariant="normal">g</mi></mrow><mrow><mn>9</mn><mo>.</mo><mn>569</mn><mo> </mo><mi mathvariant="normal">g</mi></mrow></mfrac><mtext>=0.0209⟩⟩ = 0.02 «%»</mtext></math> ✔</p>
<p><em><br>Award <strong>[2]</strong> for correct final answer </em></p>
<p><em>Accept 0.021%</em></p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>⟨</mo><mo>⟨</mo><mo> </mo><mn>0</mn><mo>.</mo><mn>2614</mn><mo> </mo><mi>mol</mi><mo> </mo><mo>×</mo><mo> </mo><mo>(</mo><mn>24</mn><mo>.</mo><mn>31</mn><mo> </mo><mi mathvariant="normal">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>+</mo><mn>16</mn><mo>.</mo><mn>00</mn><mo> </mo><mi mathvariant="normal">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>)</mo><mo>=</mo><mn>0</mn><mo>.</mo><mn>2614</mn><mo> </mo><mi>mol</mi><mo>×</mo><mn>40</mn><mo>.</mo><mn>31</mn><mo> </mo><mi mathvariant="normal">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>⟩</mo><mo>⟩</mo><mo>=</mo><mn>10</mn><mo>.</mo><mn>536</mn><mo> </mo><mo>«</mo><mi mathvariant="normal">g</mi><mo>»</mo></math> ✔</p>
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⟨</mo><mo>⟨</mo><mn>100</mn><mo>×</mo><mfrac><mrow><mn>9</mn><mo>.</mo><mn>569</mn><mo> </mo><mi mathvariant="normal">g</mi></mrow><mrow><mn>10</mn><mo>.</mo><mn>536</mn><mo> </mo><mi mathvariant="normal">g</mi></mrow></mfrac><mo>=</mo><mo> </mo><mn>90</mn><mo>.</mo><mn>822</mn><mo>⟩</mo><mo>⟩</mo><mo>=</mo><mn>91</mn><mo> </mo><mo>«</mo><mo>%</mo><mo>»</mo></math> ✔</p>
<p> </p>
<p><em>Award «0.2614 mol x 40.31 g mol<sup>–1</sup>»</em></p>
<p><em>Accept alternative methods to arrive at the correct answer.</em></p>
<p><em>Accept final answers in the range 90.5-91.5%</em></p>
<p><em><strong>[2]</strong> for correct final answer.</em></p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>yes<br><em><strong>AND</strong></em><br>«each Mg combines with <math xmlns="http://www.w3.org/1998/Math/MathML"><mstyle displaystyle="false"><mfrac bevelled="true"><mn>2</mn><mn>3</mn></mfrac></mstyle></math> N, so» mass increase would be 14x<math xmlns="http://www.w3.org/1998/Math/MathML"><mstyle displaystyle="false"><mfrac bevelled="true"><mn>2</mn><mn>3</mn></mfrac></mstyle></math> which is less than expected increase of 16x<br><em><strong>OR</strong></em><br>3 mol Mg would form 101g of Mg<sub>3</sub>N<sub>2</sub> but would form 3 x MgO = 121 g of MgO<br><em><strong>OR</strong></em><br>0.2614 mol forms 10.536 g of MgO, but would form 8.796 g of Mg<sub>3</sub>N<sub>2</sub> ✔</p>
<p> </p>
<p><em>Accept Yes <strong>AND</strong> “the mass of N/N<sub>2</sub> that combines with each g/mole of Mg is lower than that of O/O<sub>2</sub>”</em></p>
<p><em>Accept YES<strong> AND</strong> “molar mass of nitrogen less than of oxygen”.</em></p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>incomplete reaction<br><em><strong>OR</strong></em><br>Mg was partially oxidised already<br><em><strong>OR</strong></em><br>impurity present that evaporated/did not react ✔</p>
<p> </p>
<p><em>Accept “crucible weighed before fully cooled”.</em></p>
<p><em>Accept answers relating to a higher atomic mass impurity consuming less O/O<sub>2</sub>.</em></p>
<p><em>Accept “non-stoichiometric compounds formed”.</em></p>
<p><em>Do <strong>not</strong> accept "human error", "wrongly calibrated balance" or other non-chemical reasons.</em></p>
<p><em>If answer to (b)(iii) is >100%, accept appropriate reasons, such as product absorbed moisture before being weighed.</em></p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«1» Mg<sub>3</sub>N<sub>2</sub> (s) + <strong>6</strong> H<sub>2</sub>O (l) → <strong>3</strong> Mg(OH)<sub>2</sub> (s) + <strong>2</strong> NH<sub>3</sub> (aq) ✔</p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>phenol red ✔</p>
<p><em><br>Accept bromothymol blue or phenolphthalein.</em></p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Mg<sub>3</sub>N<sub>2</sub>: -3</em><br><strong><em>AND</em></strong><br><em>NH<sub>3</sub>: -3 ✔</em></p>
<p><em><br>Do not accept 3 or 3-</em></p>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Acid–base:</em><br>yes <strong>AND</strong> N<sup>3-</sup> accepts H<sup>+</sup>/donates electron pair«s»<br><strong><em>OR</em></strong><br>yes <strong>AND</strong> H<sub>2</sub>O loses H<sup>+</sup> «to form OH<sup>-</sup>»/accepts electron pair«s» ✔</p>
<p><em>Redox:</em><br>no <strong>AND</strong> no oxidation states change ✔</p>
<p> </p>
<p><em>Accept “yes <strong>AND</strong> proton transfer takes place”</em></p>
<p><em>Accept reference to the oxidation state of specific elements not changing.</em></p>
<p><em>Accept “not redox as no electrons gained/lost”.</em></p>
<p><em>Award <strong>[1 max]</strong> for Acid–base: yes <strong>AND</strong> Redox: no without correct reasons, if no other mark has been awarded</em></p>
<div class="question_part_label">d(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Protons</em>: 7 <em><strong>AND</strong> Neutrons</em>: 7 <em><strong>AND</strong> Electrons</em>: 10 ✔</p>
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="text-decoration:underline;">isotope</span>«s» ✔</p>
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>nitride <em><strong>AND</strong> </em>smaller nuclear charge/number of protons/atomic number ✔</p>
<div class="question_part_label">e(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>nitrogen <em><strong>AND</strong> </em>electron lost from first «energy» level/s sub-level/s-orbital <em><strong>AND</strong> </em>magnesium from p sub-level/p-orbital/second «energy» level<br><em><strong>OR</strong></em><br>nitrogen <em><strong>AND</strong> </em>electron lost from lower level «than magnesium» ✔</p>
<p> </p>
<p><em>Accept “nitrogen <strong>AND</strong> electron lost closer to the nucleus «than magnesium»”.</em></p>
<div class="question_part_label">e(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any two of:</em></p>
<p>subatomic particles «discovered»<br><em><strong>OR</strong></em><br>particles smaller/with masses less than atoms «discovered»<br><em><strong>OR</strong></em><br>«existence of» isotopes «same number of protons, different number of neutrons» ✔</p>
<p><br>charged particles obtained from «neutral» atoms<br><em><strong>OR</strong></em><br>atoms can gain or lose electrons «and become charged» ✔</p>
<p><br>atom «discovered» to have structure ✔</p>
<p><br>fission<br><em><strong>OR</strong></em><br>atoms can be split ✔</p>
<p> </p>
<p><em>Accept atoms can undergo fusion «to produce heavier atoms»</em></p>
<p><em>Accept specific examples of particles.</em></p>
<p><em>Award <strong>[2]</strong> for “atom shown to have a nucleus with electrons around it” as both M1 and M3.</em></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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"></p>
<p> </p>
<p><em>Award <strong>[1]</strong> for all bonding types correct.</em></p>
<p><em>Award <strong>[1]</strong> for <strong>each</strong> correct description.</em></p>
<p><em>Apply ECF for M2 only once.</em></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>Done very well. However, it was disappointing to see the formula of oxygen molecule as O and the oxide as Mg<sub>2</sub>O and MgO<sub>2</sub> at HL level.</p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Average performance; the question asked to identify a metal; however, answers included S, Si, P and even noble gases besides Be and Na. The only choice of aluminium; however, since its oxide is amphoteric, it could not be the answer in the minds of some.</p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Very good performance; some calculated the mass of oxygen instead of magnesium for the calculation of the amount, in mol, of magnesium. Others calculated the mass, but not the amount in mol as required.</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Mediocre performance; instead of calculating percentage uncertainty, some calculated percentage difference.</p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Satisfactory performance; however, a good number could not answer the question correctly on determining the percentage yield.</p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Poorly done. The question asked to evaluate and explain but instead many answers simply agreed with the information provided instead of assessing its strength and limitation.</p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Mediocre performance; explaining the yield found was often a challenge by not recognizing that incomplete reaction or Mg partially oxidized or impurities present that evaporated or did not react would explain the yield.</p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p style="text-align:left;">Calculating coefficients that balance the given equation was done very well.</p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Well done; some chose bromocresol green or methyl red as the indicator that would change colour, instead of phenol red, bromothymol blue or phenolphthalein.</p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Good performance; however, surprising number of candidates could not determine one or both oxidation states correctly or wrote it as 3 or 3−, instead of −3.</p>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Average performance; choosing the given reaction as an acid-base or redox reaction was not done well. Often answers were contradictory and the reasoning incorrect.</p>
<div class="question_part_label">d(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Stating the number of subatomic particles in a <sup>14</sup>N<sup>3-</sup> was done very well. However, some answers showed a lack of understanding of how to calculate the number of relevant subatomic particles given formula of an ion with charge and mass number.</p>
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Exceptionally well done; A few candidates referred to isomers, rather than isotopes.</p>
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>There was reference to nitrogen and magnesium, rather than nitride and magnesium ions. Also, instead identifying smaller nuclear charge in nitride ion, some referred to core electrons, Z<sub>eff</sub>, increased electron-electron repulsion or shielding.</p>
<div class="question_part_label">e(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Common error in suggesting nitrogen would have the greater sixth ionization energy was that for nitrogen, electron is lost from first energy level without making reference to magnesium losing it from second energy level.</p>
<div class="question_part_label">e(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Good performance; some teachers were concerned about the expected answers. However, generally, students were able to suggest two reasons why matter is divisible.</p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>One teacher commented that not asking to describe bonding in terms of electrostatic attractions as in earlier papers would have been confusing and some did answer in terms of electrostatic forces of attractions involved. However, the question was clear in its expectation that the answer had to be in terms of how the valence electrons produce the three types of bonds and the overall performance was good. Some had difficulty identifying the bond type for Mg, O<sub>2</sub> and MgO.</p>
<div class="question_part_label">g.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Carbonated water is produced when carbon dioxide is dissolved in water under pressure. The following equilibria are established.</span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Equilibrium (1) CO<sub>2</sub> (g) <img src="images/5.PNG" alt width="64" height="25"> CO<sub>2</sub> (aq)</span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Equilibrium (2) CO<sub>2</sub> (aq) + H<sub>2</sub>O (l) <img src="data:image/png;base64,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" width="49" height="14"> H<sup>+</sup> (aq) + HCO<sub>3</sub><sup>−</sup> (aq)</span></span></span></p>
</div>
<div class="specification">
<p><span style="background-color: #ffffff;">Carbon dioxide acts as a weak acid.</span></p>
</div>
<div class="specification">
<p><span style="background-color: #ffffff;">Soda water has sodium hydrogencarbonate, NaHCO<sub>3</sub>, dissolved in the carbonated water.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Distinguish between a weak and strong acid.</span></p>
<p><span style="background-color: #ffffff;">Weak acid: </span></p>
<p><span style="background-color: #ffffff;">Strong acid: </span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">The hydrogencarbonate ion, produced in Equilibrium (2), can also act as an acid.</span></p>
<p><span style="background-color: #ffffff;">State the formula of its conjugate base.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">When a bottle of carbonated water is opened, these equilibria are disturbed.</span></p>
<p><span style="background-color: #ffffff;">State, giving a reason, how a decrease in pressure affects the position of Equilibrium (1).</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
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<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">At 298 K the concentration of aqueous carbon dioxide in carbonated water is 0.200 mol dm<sup>−3</sup> and the pK<sub>a</sub> for Equilibrium (2) is 6.36.</span></p>
<p><span style="background-color: #ffffff;">Calculate the pH of carbonated water.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">c.</div>
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<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Identify the type of bonding in sodium hydrogencarbonate.</span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Between sodium and hydrogencarbonate:</span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Between hydrogen and oxygen in hydrogencarbonate:</span></span></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Predict, referring to Equilibrium (2), how the added sodium hydrogencarbonate affects the pH.(Assume pressure and temperature remain constant.)</span></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><span style="background-color: #ffffff;">100.0cm<sup>3</sup> of soda water contains 3.0 × 10<sup>−2</sup>g NaHCO<sub>3</sub>.</span></p>
<p><span style="background-color: #ffffff;">Calculate the concentration of NaHCO<sub>3</sub> in mol dm<sup>−3</sup>.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">The uncertainty of the 100.0cm<sup>3</sup> volumetric flask used to make the solution was ±0.6cm<sup>3</sup>.</span></p>
<p><span style="background-color: #ffffff;">Calculate the maximum percentage uncertainty in the mass of NaHCO<sub>3</sub> so that the concentration of the solution is correct to ±1.0 %.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">d(iv).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">The reaction of the hydroxide ion with carbon dioxide and with the hydrogencarbonate ion can be represented by Equations 3 and 4.</span></p>
<p><span style="background-color: #ffffff;">Equation (3) OH<sup>−</sup> (aq) + CO<sub>2</sub> (g) → HCO<sub>3</sub><sup>−</sup> (aq)<br>Equation (4) OH<sup>−</sup> (aq) + HCO</span><sub>3</sub><sup>−</sup><span style="background-color: #ffffff;"> (aq) → H<sub>2</sub>O (l) + CO<sub>3</sub><sup>2−</sup> (aq)<br></span></p>
<p><span style="background-color: #ffffff;">Discuss how these equations show the difference between a Lewis base and a Brønsted–Lowry base.</span></p>
<p> </p>
<p><span style="background-color: #ffffff;">Equation (3):</span></p>
<p><span style="background-color: #ffffff;">Equation (4):</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Aqueous sodium hydrogencarbonate has a pH of approximately 7 at 298 K.</span></p>
<p><span style="background-color: #ffffff;">Sketch a graph of pH against volume when 25.0cm<sup>3</sup> of 0.100 mol dm<sup>−3</sup> NaOH (aq) is gradually added to 10.0cm<sup>3</sup> of 0.0500 mol dm<sup>−3</sup> NaHCO<sub>3</sub> (aq).</span></p>
<p><span style="background-color: #ffffff;"><img 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" width="569" height="344"></span></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><span style="background-color: #ffffff;"><em>Weak acid:</em> partially dissociated/ionized «in aqueous solution/water»<br><em><strong>AND</strong></em><br><em>Strong acid</em>: «assumed to be almost» completely/100 % dissociated/ionized «in aqueous solution/water» <strong>[✔]</strong></span></p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">CO<sub>3</sub><sup>2-</sup> <strong>[✔]</strong></span></p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">shifts to left/reactants <em><strong>AND</strong> </em>to increase amount/number of moles/molecules of gas/CO<sub>2</sub> (g) <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Accept “shifts to left/reactants <strong>AND</strong> to increase pressure”.</span></em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«K<sub>a</sub> =» 10<sup>–6.36</sup>/4.37 × 10<sup>–7</sup> = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{{{[{{\text{H}}^ + }]}^2}}}{{[{\text{C}}{{\text{O}}_2}]}}">
<mfrac>
<mrow>
<mrow>
<msup>
<mrow>
<mo stretchy="false">[</mo>
<mrow>
<msup>
<mrow>
<mtext>H</mtext>
</mrow>
<mo>+</mo>
</msup>
</mrow>
<mo stretchy="false">]</mo>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</mrow>
<mrow>
<mo stretchy="false">[</mo>
<mrow>
<mtext>C</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>O</mtext>
</mrow>
<mn>2</mn>
</msub>
</mrow>
<mo stretchy="false">]</mo>
</mrow>
</mfrac>
</math></span><br><em><strong>OR</strong></em><br>«K<sub>a</sub> =» 10<sup>–6.36</sup>/4.37 × 10<sup>–7</sup> = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{{{[{{\text{H}}^ + }]}^2}}}{{0.200}}">
<mfrac>
<mrow>
<mrow>
<msup>
<mrow>
<mo stretchy="false">[</mo>
<mrow>
<msup>
<mrow>
<mtext>H</mtext>
</mrow>
<mo>+</mo>
</msup>
</mrow>
<mo stretchy="false">]</mo>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</mrow>
<mrow>
<mn>0.200</mn>
</mrow>
</mfrac>
</math></span> <strong>[✔]</strong></span></p>
<p> </p>
<p><span style="background-color: #ffffff;">[H<sup>+</sup>] « <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\sqrt {0.200 \times 4.37 \times {{10}^{ - 7}}} ">
<msqrt>
<mn>0.200</mn>
<mo>×</mo>
<mn>4.37</mn>
<mo>×</mo>
<mrow>
<msup>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mo>−</mo>
<mn>7</mn>
</mrow>
</msup>
</mrow>
</msqrt>
</math></span> » = 2.95 × 10<sup>–4</sup> «mol dm<sup>–3</sup>» <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"> </span><strong style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</strong><br>«pH =» 3.53 <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"> </span><strong style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">Note: </strong>Award <strong>[3]</strong> for correct final answer.</span></em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Between sodium and hydrogencarbonate:</em><br>ionic <strong>[✔]</strong><br></span></p>
<p><span style="background-color: #ffffff;"><em>Between hydrogen and oxygen in hydrogencarbonate:</em><br>«polar» covalent <strong>[✔]</strong></span></p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«additional HCO<sub>3</sub><sup>-</sup>» shifts position of equilibrium to left <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">pH increases <strong style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">Note: </strong>Do <strong>not</strong> award M2 without any justification in terms of equilibrium shift in M1.</span></em></p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«molar mass of NaHCO<sub>3</sub> =» 84.01 «g mol<sup>-1</sup>» <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">«concentration = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{3.0 \times {{10}^{ - 2}}{\text{g}}}}{{84.01{\text{ g mo}}{{\text{l}}^{ - 1}}}} \times \frac{1}{{0.100{\text{ d}}{{\text{m}}^3}}}">
<mfrac>
<mrow>
<mn>3.0</mn>
<mo>×</mo>
<mrow>
<msup>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mo>−</mo>
<mn>2</mn>
</mrow>
</msup>
</mrow>
<mrow>
<mtext>g</mtext>
</mrow>
</mrow>
<mrow>
<mn>84.01</mn>
<mrow>
<mtext> g mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
</mrow>
</mfrac>
<mo>×</mo>
<mfrac>
<mn>1</mn>
<mrow>
<mn>0.100</mn>
<mrow>
<mtext> d</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>m</mtext>
</mrow>
<mn>3</mn>
</msup>
</mrow>
</mrow>
</mfrac>
</math></span> =» 3.6 × 10<sup>–3</sup> «mol dm<sup>-3</sup>» <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Award <strong>[2]</strong> for correct final answer.</span></em></p>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«1.0 – 0.6 = ± » 0.4 «%» <strong>[✔]</strong></span></p>
<div class="question_part_label">d(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Equation (3):</em><br>OH<sup>-</sup> donates an electron pair <em><strong>AND</strong> </em>acts as a Lewis base <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;"><em>Equation (4):</em><br>OH<sup>-</sup> accepts a proton/H<sup>+</sup>/hydrogen ion <em><strong>AND</strong> </em>acts as a Brønsted–Lowry base <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"> </span><strong style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</strong></span></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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" width="579" height="358"></p>
<p><span style="background-color: #ffffff;">S-shaped curve from ~7 to between 12 and 14 <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">equivalence point at 5 cm<sup>3</sup> <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Accept starting point >6~7.</span></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>As expected, many candidates were able to distinguish between strong and weak acids; some candidates referred to “dissolve” rather than dissociate.</p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>More than half the candidates were able to deduce that carbonate was the conjugate base but a significant proportion of those that did, wrote the carbonate ion with an incorrect charge.</p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Many students gave generic responses referring to a correct shift without conveying the idea of compensation or restoration of pressure or moles of gas. This generic reply reflects the difficulty in applying a theoretical concept to the practical situation described in the question.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates calculated the pH of the aqueous CO<sub>2</sub>. Some candidates attempted to use the Henderson-Hasselback equation and others used the quadratic expression to calculate [H<sup>+</sup>] (these two options were very common in the Spanish scripts) getting incorrect solutions. These answers usually ended in pH of approx. 1 which candidates should realize cannot be correct for soda water.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This was an easy question, especially the identification of the type of bond between H and O, yet some candidates interpreted that the question referred to intermolecular bonding.</p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>A significant number of candidates omitted the “equilibrium” involved in the dissolution of a weak base.</p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This is another stoichiometry question that most candidates were able to solve well, with occasional errors when calculating <em>M</em><sub>r</sub> of hydrogen carbonate.</p>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Mixed responses, more attention should be given to this simple calculation which is straightforward and should be easy as required for IA reports.</p>
<div class="question_part_label">d(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This was a good way to test this topic because answers showed that, while candidates usually knew the topic in theory, they could not apply this to identify the Lewis and Bronsted-Lowry bases in the context of a reaction that was given to them. In some cases, they failed to specify the base, OH<sup>-</sup> or also lost marks referring just to electrons, an electron or H instead of hydrogen ions or H<sup>+</sup> for example.</p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most students that got 1mark for this titration curve was for the general shape, because few realized they had the data to calculate the equivalence point. There were also some difficulties in establishing the starting point even if it was specified in the stem.</p>
<div class="question_part_label">f.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Both vinegar (a dilute aqueous solution of ethanoic acid) and bleach are used as cleaning agents.</span></p>
</div>
<div class="specification">
<p><span style="background-color: #ffffff;">Bleach reacts with ammonia, also used as a cleaning agent, to produce the poisonous compound chloramine, NH<sub>2</sub>Cl.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Outline why ethanoic acid is classified as a weak acid.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">A solution of bleach can be made by reacting chlorine gas with a sodium hydroxide solution.</span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;">Cl<sub>2</sub> (g) + 2NaOH (aq) ⇌ NaOCl (aq) + NaCl (aq) + H<sub>2</sub>O (l)</span></p>
<p><span style="background-color: #ffffff;">Suggest, with reference to Le Châtelier’s principle, why it is dangerous to mix vinegar </span><span style="background-color: #ffffff;">and bleach together as cleaners.</span></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><span style="background-color: #ffffff;">Draw a Lewis (electron dot) structure of chloramine.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">State the hybridization of the nitrogen atom in chloramine.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Deduce the molecular geometry of chloramine and estimate its H–N–H bond angle.</span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Molecular geometry:</span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">H–N–H bond angle:</span></span></span></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><span style="background-color: #ffffff;">State the type of bond formed when chloramine is protonated.</span></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><span style="background-color: #ffffff;">Sketch a graph of pH against volume of hydrochloric acid added to ammonia solution, showing how you would determine the pK<sub>a</sub> of the ammonium ion.</span></p>
<p><img src="images/5di.PNG" alt width="478" height="387"></p>
<p> </p>
<div class="marks">[2]</div>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Suggest a suitable indicator for the titration, using section 22 of the data booklet.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Explain, using <strong>two</strong> equations, how an equimolar solution of ammonia and ammonium ions acts as a buffer solution when small amounts of acid or base are added.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d(iii).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">partial dissociation «in aqueous solution» <strong>[✔]</strong></span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">ethanoic acid/vinegar reacts with NaOH <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">moves equilibrium to left/reactant side <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</span></span></p>
<p><span style="background-color: #ffffff;">releases Cl<sub>2</sub> (g)/chlorine <span style="text-decoration: underline;">gas</span><br><em><strong>OR</strong></em><br>Cl<sub>2</sub> (g)/chlorine <span style="text-decoration: underline;">gas</span> is toxic <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</span></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note</strong>: Accept “ethanoic acid produces H<sup>+</sup> ions”</span></em></p>
<p><em><span style="background-color: #ffffff;">Accept “ethanoic acid/vinegar reacts with NaOCl”.</span></em></p>
<p><em><span style="background-color: #ffffff;">Do <strong>not</strong> accept “2CH<sub>3</sub>COOH + NaOCl + NaCl → 2CH<sub>3</sub>COONa + Cl<sub>2</sub> + H<sub>2</sub>O” as it does not refer to equilibrium.</span></em></p>
<p><em><span style="background-color: #ffffff;">Accept suitable molecular or ionic equations for M1 and M3.</span></em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/5ci.PNG" alt width="133" height="101"> <strong>[<span style="background-color: #ffffff;">✔]</span></strong></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note</strong>: Accept any combination of dots/crosses or lines to represent electron pairs.</span></em></p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">sp<sup>3</sup> <strong>[✔]</strong></span></p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Molecular geometry</em>:<br>«trigonal» pyramidal <strong>[✔]</strong><br></span></p>
<p><span style="background-color: #ffffff;"><em>H–N–H bond angle</em>:<br>107° <strong style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</strong><br></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note</strong>: Accept angles in the range of 100–109.</span></em></p>
<div class="question_part_label">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>covalent/dative/coordinate <strong>[✔]</strong></p>
<div class="question_part_label">c(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/5di_m.PNG" alt width="424" height="298"></p>
<p><span style="background-color: #ffffff;">correct shape of graph <em><strong>AND</strong> </em>vertical drop at Vn <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">pK<sub>a</sub> = pH at <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{{\text{Vn}}}}{2}">
<mfrac>
<mrow>
<mrow>
<mtext>Vn</mtext>
</mrow>
</mrow>
<mn>2</mn>
</mfrac>
</math></span>/half neutralization/half equivalence <strong style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</strong></span></p>
<p> </p>
<p><em><span style="font-size: 14px;"><span style="background-color: #ffffff;"><strong style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">Note: </strong></span></span><span style="background-color: #ffffff;">M1: must show buffer region at pH > 7 and equivalence point at pH < 7. Graph must start below pH = 14.</span></em></p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">methyl orange<br><em><strong>OR</strong></em><br>bromophenol blue<br><em><strong>OR</strong></em><br>bromocresol green<br><em><strong>OR</strong></em><br>methyl red <strong>[✔]</strong></span></p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">NH<sub>3</sub> (aq) + H<sup>+</sup> (aq) → NH<sub>4</sub> + (aq) <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">NH<sub>4</sub> + (aq) + OH<sup>−</sup> (aq) → NH<sub>3</sub> (aq) + H<sub>2</sub>O(l) <strong style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">Note: </strong>Accept reaction arrows or equilibrium signs in both equations.</span></em></p>
<p><em><span style="background-color: #ffffff;">Award <strong>[1 max]</strong>, based on two correct reverse equations but not clearly showing reacting with acid or base but rather dissociation.</span></em></p>
<div class="question_part_label">d(iii).</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Majority of candidates understood weak acids do not fully dissociate.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The average score was 1 out 3. Many could not suggest why it is dangerous to mix chlorine with vinegar. Most students gained at least one mark for stating that “chlorine gas will be produced” but couldn’t link it to equilibrium ideas.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates correctly drew the Lewis structure of chloramine. Some left off lone pair electrons.</p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Mostly correct with a surprising number stating sp or sp<sup>2</sup> hybridization.</p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally well done with some candidates misinterpreting the bond angle from the stated geometry.</p>
<div class="question_part_label">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>“Ionic bond”, “hydrogen bond” and “intermolecular forces” were some common answers.</p>
<div class="question_part_label">c(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Quite poorly done with many candidates not indicating a vertical drop but rather a weak acid/weak base curve. Some did not have the correct location for the equivalence point.</p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally well done although a number of candidates chose bromothymol blue as a suitable indicator for weak base with a strong acid.</p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Nearly 30 % of candidates did not attempt to answer this question about buffer equations. It was also poorly answered because equations were not used to explain buffer action or the dissociation equations for the base and acid were given rather than their reactions with H<sup>+</sup> or OH<sup>-</sup> .</p>
<div class="question_part_label">d(iii).</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Another common acid found in food is ethanoic acid.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">A sample of ethanoic acid was titrated with sodium hydroxide solution, and the following pH curve obtained.</span></p>
<p><span style="background-color: #ffffff;"><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAvoAAAG1CAYAAACI+VDxAAAgAElEQVR4Ae3dz4skaX7f8fwD9uJjHowEjW8Ne2jmoNlL+bB1Gdj2pVnYQyGKZhYzCMkSXaIOAwNWz0EFDeNZdBicML0Hs2ASFhbj6UaJYWks2ipowR6KNMYeq8slRk1rKIrtpjXkfs2TmZEZzzcjI+PH98l8nsh3QVEZkRHffOL1PFXPp6Iio3rCBwIIIIAAAggggAACCHROoNe5I+KAEEAAAQQQQAABBBBAQBZBv9frCZ8YMAYYA4wBxgBjgDHAGGAMMAbSHQP532+8oJ9/gscIIIAAAggggAACCCCQjoD7BS3/sVjST+Q34jECCCCAAAIIIIAAAgjELaDzPEE/7v6idQgggAACCCCAAAIIVBIg6FdiYiMEEEAAAQQQQAABBNISIOin1V+0FgEEEEAAAQQQQACBSgIE/UpMbIQAAggggAACCCCAQFoCBP20+ovWIoAAAggggAACCCBQSYCgX4mJjRBAAAEEEEAAAQQQSEuAoJ9Wf9FaBBBAAAEEEEAAAQQqCRD0KzGxEQIIIIAAAggggAACaQkQ9NPqL1qLAAIIIIAAAggggEAlAYJ+JSY2QgABBBBAAAEEEEAgLQGCflr9RWsRQAABBBBAAAEEEKgkQNCvxMRGCCCAAAIIIIAAAgikJUDQT6u/aC0CCCCAAAIIIIAAApUECPqVmNgIAQQQQAABBBBAAIG0BAj6afUXrUUAAQQQQAABBBBAoJIAQb8SExshgAACCCCAAAIIIJCWAEE/rf6itQgggAACCCCAAAIIVBIg6FdiYqMuCbx48ULcJx8IIIAAAggggECXBQj6Xe5djm1F4PXr1+IGvft8+fLlyvOsQAABBBBAAAEEuiJA0O9KT3IclQQePHgg77333jTou8d8IIAAAggggAACXRUg6He1ZzmuFYEnT55MA767bCc7q+/W8YEAAggggAACCHRRgKDfxV7lmFYE3rx5Mz2T//Dhw+lzbuC7x+7svruchw8EEEAAAQQQQKBrAgT9rvUox1MooEO9G/g6/BfuyEoEEEAAAQQQQCBRAYJ+oh1Hs6sLZJfq5C/TyQZ+/nKe6hXZEgEEEEAAAQQQiF8gyztZS3uLB73Fw2wVXxFITsCdtb97967oN97mB372Bl23LR8IIIAAAggggEBXBPJ5xx3TIt3rJ7pywBzHfgk8fvy48Faa+fGd3XJzOBzuFw5HiwACCCCAAAKdFsjnHXegBP1Od/f+Hdy6f46lB77bbjwe7x8QR4wAAggggAACnRXQeYeg39mu5sDyAnrg55/jMQIIIIAAAggg0AUBnXcI+l3oVY5ho4Ae+Bt3YAMEEEAAAQQQQCAxAZ13CPqJdSDNbSagB36zKuyFAAIIIIAAAgjEK6DzDkE/3r6iZYYCeuAblqYUAggggAACCCAQhYDOOwT9KLqFRoQW0AM/9OtRHwEEEEAAAQQQ2LaAzjsE/W33wB6/3uRyKMe3TmV0PSlReCeXw4+k39+0XUmJgqf0wC/YhFUIIIAAAggggEDSAjrvEPST7s50Gj+5eiqnB33pbQjw018G+r2N29U9cj3w6+7P9ggggAACCCCAQOwCOu8Q9GPvseTbdy3jp5/Jyce/lNEX98oD/ORrGR6/LwcHd8q3a2CiB36DEuyCAAIIIIAAAghELaDzDkE/6u5KvXETuR6dyq2jL+Xi5rcyHpQF/dklO7eOfy5PN/1C0IBFD/wGJdgFAQQQQAABBBCIWkDnHYJ+1N2VfuMm31zJN9NL8t+WBv3Z9fsfyfDyunS7piJ64Detw34IIIAAAggggECsAjrvEPRj7anOtask6E8v2TmQ4+HXMpGS7VqY6IHfohS7IoAAAggggAACUQrovEPQj7KbutiodQE+u2RnKJcVzvw3ldEDv2kd9psJ/NVf/RUUhgJ4GmKKCJ542grYVmN82npSzRfQeYeg7/uwFEygOOgvL9l5N3/l4u3KmuUGdZVP98OVTwwYA4wBxgBjYNdjoGxO4zkE2ggQ9NvosW8LgaIAP1+3NqjfkZPRqxavudxVD/zlMzxqIuAmST7sBPC0s3SV8MTTVsC2GuPT1pNqvoDOO5zR931YCiZQFPSLXqzqdkX7rl+nB/76LXmmigATVRWl6tvgWd2qypZ4VlGqvg2e1a2qbIlnFSW2aSqg8w5Bv6kk+9UUqBrgq25X7+X1wK+3N1trASYqLdJuGc92fnpvPLVIu2U82/npvfHUIixbCui8Q9C31KVWiUDVAF91u5KXKnhKD/yCTVhVQ4CJqgZWhU3xrIBUYxM8a2BV2BTPCkg1NsGzBhab1hbQeYegX5uQHVIU0AM/xWOIqc1MVLa9gSeetgK21RifeNoKUC2kgM47BP2Q2tSORkAP/GgalmhDmPhtOw5PPG0FbKsxPvG0FaBaSAGddwj6IbWpHY2AHvjRNCzRhjDx23YcnnjaCthWY3ziaStAtZACOu8Q9ENqUzsaAT3wo2lYog1h4rftODzxtBWwrcb4xNNWgGohBXTeIeiH1KZ2NAJ64EfTsEQbwsRv23F44mkrYFuN8YmnrQDVQgrovEPQD6lN7WgE9MCPpmGJNoSJ37bj8MTTVsC2GuMTT1sBqoUU0HmHoB9Sm9rRCOiBH03DEm0IE79tx+GJp62AbTXGJ562AlQLKaDzDkE/pDa1oxHQAz+ahiXaECZ+247DE09bAdtqjE88bQWoFlJA5x2CfkhtakcjoAd+NA1LtCFM/LYdhyeetgK21RifeNoKUC2kgM47BP2Q2tSORkAP/GgalmhDmPhtOw5PPG0FbKsxPvG0FaBaSAGddwj6IbWpHY2AHvjRNCzRhjDx23YcnnjaCthWY3ziaStAtZACOu8Q9ENqUzsaAT3wo2lYog1h4rftODzxtBWwrcb4xNNWgGohBXTeIeiH1KZ2NAJ64EfTsEQbwsRv23F44mkrYFuN8YmnrQDVQgrovEPQD6lN7WgE9MCPpmGJNoSJ37bj8MTTVsC2GuMTT1sBqoUU0HmHoB9Sm9rRCOiBH03DEm0IE79tx+GJp62AbTXGJ562AlQLKaDzDkE/pDa1oxHQAz+ahiXaECZ+247DE09bAdtqjE88bQWoFlJA5x2CfkhtakcjoAd+NA1LtCFM/LYdhyeetgK21RifeNoKUC2kgM47BP2Q2tSORkAP/GgalmhDmPhtOw5PPG0FbKsxPvG0FaBaSAGddwj6IbWpHY2AHvjRNCzRhjDx23YcnnjaCthWY3ziaStAtZACOu8Q9ENqUzsaAT3wo2lYog1h4rftODzxtBWwrcb4xNNWgGohBXTeIeiH1KZ2NAJ64EfTsEQbwsRv23F44mkrYFuN8YmnrQDVQgrovEPQD6lN7WgE9MCPpmGJNoSJ37bj8MTTVsC2GuMTT1sBqoUU0HmHoB9Sm9rRCOiBH03DEm0IE79tx+GJp62AbTXGJ562AlQLKaDzDkE/pDa1oxHQAz+ahiXaECZ+247DE09bAdtqjE88bQWoFlJA5x2CfkhtakcjoAd+NA1LtCFM/LYdhyeetgK21RifeNoKUC2kgM47BP2Q2tSORkAP/GgalmhDmPhtOw5PPG0FbKsxPvG0FaBaSAGddwj6IbWpHY2AHvjRNCzRhjDx23YcnnjaCthWY3ziaStAtZACOu8Q9ENqUzsaAT3wo2lYog1h4rftODzxtBWwrcb4xNNWgGohBXTeIeiH1KZ2NAJ64EfTsEQbwsRv23F44mkrYFuN8YmnrQDVQgrovEPQD6lN7WgE9MCPpmGJNoSJ37bj8MTTVsC2GuMTT1sBqoUU0HmHoB9Sm9qewORyKMe3TmV0PfHWi1zL+OkjOer3xA3QXu9QTgYjGd/o7dRuNRb1wK+xK5sWCDDxF6C0WIVnC7yCXfEsQGmxCs8WeAW74lmAwiozAZ13CPpmtBQqE5hcPZXTg770+jrov5PL4UfSPziV4fh6WmJy9UweHd2W/vFQLo2yvh74ZW3luc0CTFSbjepsgWcdrc3b4rnZqM4WeNbR2rwtnpuN2KK5gM47BP3mluxZScCdrf9MTj7+pYy+uLca9CcXMji8JYeDC8ln+sl4IIe9ezIYv630Kps20gN/0/Y8Xy7ARFXuU/dZPOuKlW+PZ7lP3WfxrCtWvj2e5T48205A5x2CfjtP9i4VmMj16FRuHX0pFze/lfGgIOiv2X8W9O/IyejVmi3qrdYDv97ebK0FmKi0SLtlPNv56b3x1CLtlvFs56f3xlOLsGwpoPMOQd9Sl1orApNvruSb6an6tzWC/uwXhD5n9Fc8Y1nBRGXbE3jiaStgW43xiaetANVCChD0Q+pSu0SgRtCffC3D49vSPxnJ7Kr9krIVn9IDv+JubLZGgIl/DUzD1Xg2hFuzG55rYBquxrMh3Jrd8FwDw2oTAZ13OKNvwkqRzQJVg3725txHcs5ddzaz7mgLJipbeDzxtBWwrcb4xNNWgGohBQj6IXWpXSJQJei/k6vRJ3LQ/0iGl+9KavlPuUFd5dNNVnxiwBhgDDAGGAO7HgP+LMYSAnYCBH07SyrVEtgU9K9lPDyVg/6xDC6sLthZNlAP/OUzPGoi4CZJPuwE8LSzdJXwxNNWwLYa49PWk2q+gM47XLrj+7AUTKAk6E8uZXR6KL1AId8dkh74wQ5zTwozUdl2NJ542grYVmN82nmOx2P57LPP7ApSCQEloPMOQV8BsRhKYF3Q/1bOzz6QXu8DOTv/NtSLE/SNZZn4bUHxxNNWwLYa43Pp6YJ6/vPJkycyHA4Xnw8fPpQHDx4sPt977z3v0tK7d+/Kp59+uizIIwSMBQj6xqCUqypQHPRn98tfd419f+UfaVV9Nb2dHvj6eZbrCTDx1/PatDWem4TqPY9nPa9NW3fB8+XLl15Ad2E9H9Dd488//3wR0F1Yv3//vhfS3Tzi1uWDvNsnX+fZs2fe67x+/XqFtwueKwfFimgEdN7hjH40XUNDQgrogR/ytfahNhOVbS/jiaetgG21bY9PF47zZ82zx/rseVE4dyHcnTV3P/Pzn25dPqC7x48fP/ZCuqufvVb21VZyVm3bniGOgZrxCui8Q9CPt69omaGAHviGpfeyFBOVbbfjiaetgG01PT6zEJx9dWex82e1849dmNYBO1suCuTuZ7W73CXbJv9VB3P3OkXh3J29j/lDe8bcVtqWnoDOOwT99PqQFjcQ0AO/QQl2yQkwUeUwDB7iaYCYK4FnDmPDw/wlLfnAnr+M5Qc/+IF3dlxfvuKuS8+He/04+4VAf409kG+ga/w047MxHTtWENB5h6BfAY1N0hfQAz/9I9rtETBR2frjiaeFwJs3b7xLT/KBO39mPP8G0fwlLfnAnj9T/sknn1g0jxpzAb7fGQohBXTeIeiH1KZ2NAJ64EfTsEQbwkRl23F44lkkUOVsu37DaD7Q5y91efHixeKXgKI3iBa9fraO8ZlJ2HzF08aRKsUCOu8Q9IudWNsxAT3wO3Z4Wz8cJipbcjz3xzML7/nLZPLhPH+2PX+t+rqz7e5ymNAfjE9bYTxtPanmC+i8Q9D3fVjqqIAe+B09zK0dFhOVLTWe3fN0ATy7S4wL8tkbT7Pwng/ubc6228oVV2N8Frs0XYtnUzn2qyKg8w5Bv4oa2yQvoAd+8ge04wNgorLtADzT9cyui3fXw7vwngV6d0lNFuZdkE/5jaeMz3THp23LqZaCgM47BP0Ueo02thbQA791wT0vwMRvOwDwTMczO1OfD/XujL27Ht5djpNyoF/XC4zPdTLN1uPZzI29qgnovEPQr+bGVokL6IGf+OHsvPlMVLZdgGe8ni7Yu7P1Lsy7nyPujL279aS7LKeLob6oJxifRSrN1+HZ3I49NwvovEPQ32zGFh0Q0AO/A4e000NgorLlxzMeTxfe88HeXYLjzta7y2/cZTr7+MH4tO11PG09qeYL6LxD0Pd9WOqogB74HT3MrR0WE5UtNZ6783Th3YV4d5bevVE2O2O/z8Fe9wbjU4u0W8aznR97lwvovEPQL/fi2Y4I6IHfkcPa2WEwUdnS47l9zyzcu58N7qz9Pl2KU1eb8VlXrHx7PMt9eLadgM47BP12nuydiIAe+Ik0O9pmMlHZdg2e2/F0/yjKXZbjztq7Txfu6/7zKNuWplGN8WnbT3jaelLNF9B5h6Dv+7DUUQE98Dt6mFs7LCYqW2o8w3q6MO8uzXE/B9zXbfyTKdsj2m01xqetP562nlTzBXTeIej7Pix1VEAP/I4e5tYOi4nKlhrPMJ5ZwHfX3rs31HL2vpkz47OZ27q98Fwnw3oLAZ13CPoWqtSIXkAP/OgbHHkDmahsOwhPW8/PPvtsGuzd970L+Pt6txwrVcanleSsDp62nlTzBXTeIej7Pix1VEAP/I4e5tYOi4nKlhpPO0/3T6t+7/d+b/pfaTmDb+PK+LRxzKrgmUnwNYSAzjsE/RDK1IxOQA/86BqYWIOYqGw7DM/2ni7Uu39q5d5k+8knn7QvSIWFAONzQWHyAE8TRoqsEdB5h6C/BorV3RLQA79bR7f9o2GisjXHs52nu1Vmdh2+u0wHz3aeem88tUi7ZTzb+bF3uYDOOwT9ci+e7YiAHvgdOaydHQYTlS09ns09s390lb+TDp7NPYv2xLNIpfk6PJvbsedmAZ13CPqbzdiiAwJ64HfgkHZ6CExUtvx41vd0Z+7dP7pyn/rNtnjW9yzbA88ynfrP4VnfjD2qC+i8Q9CvbseWCQvogZ/woUTRdCYq227As57ny5cvpwHfnc0v+sCzSKX5Ojyb2xXtiWeRCuusBHTeIehbyVInagE98KNubAKNY6Ky7SQ8q3u6kO+ux18X8l0lPKt7VtkSzypK1bfBs7oVW9YX0HmHoF/fkD0SFNADP8FDiKrJTFS23YFnNc/scp2ykO8q4VnNs+pWeFaVqrYdntWc2KqZgM47BP1mjuyVmIAe+Ik1P7rmMlHZdgme1Tzd7TM3hXxXCc9qnlW3wrOqVLXt8KzmxFbNBHTeIeg3c2SvxAT0wE+s+dE1l4nKtkvw3Ow5HA4L33hbtCeeRSrN1+HZ3K5oTzyLVFhnJaDzDkHfSpY6UQvogR91YxNoHBOVbSfhWe7p/hmW+x521+dX+cCzilL1bfCsblVlSzyrKLFNUwGddwj6TSXZLykBPfCTanyEjWWisu0UPMs93eU6jx8/Lt8o9yyeOQyDh3gaIOZK4JnD4KG5gM47BH1zYgquE5hcDuX41qmMridqk2sZP30kR/3e9Kxdr3coJ4ORjG/0dmq3Got64NfYlU0LBJioClBarMJzPZ47m+/usqPvlb9+D67RL7Np8hzjs4na+n3wXG/DM+0FdN4h6Lc3pUIFgcnVUzk96Euvvxr0J+OBHPaP5NHzK5lG+5vfyODotvRPRnJdoXaVTfTAr7IP26wXYKJab9PkGTzXq7kz+VXegJuvgGdeo/1jPNsb5ivgmdfgsbWAzjsEfWth6ikBd7b+Mzn5+Jcy+uJeQdB/K+PBPRXqJ3I9OpV+wS8FqnjlRT3wK+/IhoUCTFSFLI1X4rmezp3Nr3ptflYFz0zC5iueNo5ZFTwzCb6GENB5h6AfQpmac4FZYL919KVc3Px2GuhXzuhPLmRweEsOBxezs/nZnu4sf++eDMZvTTT1wDcpusdFmKhsOx/PYs8XL17I3bt3i58sWYtnCU6Dp/BsgFayC54lODzVWkDnHYJ+a1IKlAlMvrmSb6bX48zO3FcN+nI9kpP+HTkZvSorX/k5PfAr78iGhQJMVIUsjVfiWUznLtup8ybcrAqemYTNVzxtHLMqeGYSfA0hoPMOQT+EMjULBNYE/Wmg76+c0SfoFxBGtIqJyrYz8Cz2vH//vozH4+InS9biWYLT4Ck8G6CV7IJnCQ5PtRYg6LcmpEAzAYJ+M7c492Kisu0XPFc93V129IS1ulXxGjyLXZquxbOpXPF+eBa7sNZGQP/c5Iy+jStVNgqsCfprrtHnjP5G0J1uwERly4/nqqc7k+/O6Df5wLOJ2vp98Fxv0+QZPJuosU9VAYJ+VSm2MxaoF/Snt9ys+GZcN6irfLofrnxiwBhIYwz80R/9kfz4xz/me5afW50cA8YTLOUQWAgQ9BcUPNiuwJqgL7P1/j3zub3mdvum/qtxRqq+WdkeeK7quHvnD4fD1ScqrMGzAlKNTfCsgVVhUzwrILFJYwGCfmM6dmwnsC7oi8zO3h/K6ehyeovNydUzeXR0Rw7OnstNuxdd7K0H/uIJHjQSYKJqxLZ2JzxXaR48eNDojbiuEp6rnm3W4NlGb3VfPFdNWGMnoPMO1+jb2VKpVGB90Bdx/1TrkRz1s0twbsvR2Vcyvpnel7O0atUn9cCvuh/bFQswURW7NF2L56qc+0dZr1+/Xn2iwho8KyDV2ATPGlgVNsWzAhKbNBbQeYeg35iSHVMS0AM/pbbH2FYmKttewdP3bHPHHVcJT9+z7RKebQX9/fH0PViyFdB5h6Bv60u1SAX0wI+0mck0i4nKtqvw9D3dHXfcpTtNP/BsKle8H57FLk3X4tlUjv2qCOi8Q9CvosY2yQvogZ/8Ae34AJiobDsAT9/zxYsXBH2fZKdLjE9bfjxtPanmC+i8Q9D3fVjqqIAe+B09zK0dFhOVLTWevqe7207TO+64Snj6nm2X8Gwr6O+Pp+/Bkq2AzjsEfVtfqkUqoAd+pM1MpllMVLZdhafvSdD3PXa9xPi07QE8bT2p5gvovEPQ931Y6qiAHvgdPcytHRYTlS01nr7n48ePOaPvk+x0ifFpy4+nrSfVfAGddwj6vg9LHRXQA7+jh7m1w2KisqXG0/dscw99VwlP37PtEp5tBf398fQ9WLIV0HmHoG/rS7VIBfTAj7SZyTSLicq2q/D0PQn6vseulxiftj2Ap60n1XwBnXcI+r4PSx0V0AO/o4e5tcNiorKlxtP3JOj7HrteYnza9gCetp5U8wV03iHo+z4sdVRAD/yOHubWDouJypYaT9+ToO977HqJ8WnbA3jaelLNF9B5h6Dv+7DUUQE98Dt6mFs7LCYqW2o8fU+Cvu+x6yXGp20P4GnrSTVfQOcdgr7vw1JHBfTA7+hhbu2wmKhsqfH0PQn6vseulxiftj2Ap60n1XwBnXcI+r4PSx0V0AO/o4e5tcNiorKlxtP3JOj7HrteYnza9gCetp5U8wV03iHo+z4sdVRAD/yOHubWDouJypYaT9+ToO977HqJ8WnbA3jaelLNF9B5h6Dv+7DUUQE98Dt6mFs7LCYqW2o8fU+Cvu+x6yXGp20P4GnrSTVfQOcdgr7vw1JHBfTA7+hhbu2wmKhsqfH0PQn6vseulxiftj2Ap60n1XwBnXcI+r4PSx0V0AO/o4e5tcNiorKlxtP3JOj7HrteYnza9gCetp5U8wV03iHo+z4sdVRAD/yOHubWDouJypYaT9+ToO977HqJ8WnbA3jaelLNF9B5h6Dv+7DUUQE98Dt6mFs7LCYqW2o8fU+Cvu+x6yXGp20P4GnrSTVfQOcdgr7vw1JHBfTA7+hhbu2wmKhsqfH0Pe/evSsvX770V9ZYwrMGVoVN8ayAVGMTPGtgsWltAZ13CPq1CdkhRQE98FM8hpjazERl2xt4+p5tv1/x9D3bLuHZVtDfH0/fgyVbAf3zk6Bv60u1SAX0wI+0mck0i4nKtqvw9D3bfr/i6Xu2XcKzraC/P56+B0u2AvrnJ0Hf1pdqkQrogR9pM5NpFhOVbVfh6Xu2/X7F0/dsu4RnW0F/fzx9D5ZsBfTPT4K+rS/VIhXQAz/SZibTLCYq267C0/ds+/2Kp+/ZdgnPtoL+/nj6HizZCuifnwR9W1+qRSqgB36kzUymWUxUtl2Fp+/Z9vsVT9+z7RKebQX9/fH0PViyFdA/Pwn6tr5Ui1RAD/xIm5lMs5iobLsKT9+z7fcrnr5n2yU82wr6++Ppe7BkK6B/fhL0bX2pFqmAHviRNjOZZjFR2XYVnr5n2+9XPH3Ptkt4thX098fT92DJVkD//CTo2/pSLVIBPfAjbWYyzWKisu0qPJeeb968kbbfr3guPS0e4WmhuKyB59KCR/YC+ucnQd/emIoRCuiBH2ETk2oSE5Vtd+G59ByPx3L//v3ligaP8GyAVrILniU4DZ7CswEau1QW0HmHoF+Zjg1TFtADP+VjiaHtTFS2vYDn0tMF/QcPHixXNHiEZwO0kl3wLMFp8BSeDdDYpbKAzjsE/cp0bBhOYCI346/k7Oj29E/2vd6hnHz5XK4mdq+oB75d5f2sxERl2+94Lj0J+kuLWB4xPm17Ak9bT6r5AjrvEPR9H5Z2IDC5HMpx/wM5O/929uqTr2V4fEcOBxdilfX1wN/BYXbqJZmobLsTz6UnQX9pEcsjxqdtT+Bp60k1X0DnHYK+78PS1gXeynhwT3r9UxldZ7G+aF27humB364aezNR2Y4BPJeeBP2lRSyPGJ+2PYGnrSfVfAGddwj6vg9LWxcoCvVF69o1TA/8dtXYm4nKdgzgufQk6C8tYnnE+LTtCTxtPanmC+i8Q9D3fVjagcC6S3cOzp7LjVF79MA3Kru3ZZiobLsez6XnkydP5OHDh8sVDR7h2QCtZBc8S3AaPIVnAzR2qSyg8w5BvzIdG4YTmMj16FT6vd78zbg96R0OZJxdyWPwwnrgG5Tc6xJMVLbdj+fSczgcivts84FnG73VffFcNWmzBs82euy7SUDnHYL+JjGeDywwkZvzR3Jw8ImMrt7NX+taLgbHcut4KJdGYV8P/MAH1fnyTFS2XYzn0pOgv7SI5RHj07Yn8LT1pJovoPMOQd/3YWnbApMLGRzeWr3DzvVITvp35GT0amOL3KCu8ul+uPKJAWMg7jHw4Ycfivukn+LuJ/qnXf9snNjYAIGGAgT9hnDsFkhgGuj7a4J+wfqGzdADv2EZdpsLuEmeDzsBPJeWnNFfWsTyiPFp2xN42uLqbKYAACAASURBVHpSzRfQeYcz+r4PS9sWMDijX6XJeuBX2Ydt1gswUa23afIMnks1gv7SIpZHjE/bnsDT1pNqvoDOOwR934elrQvMrtE/PHokT8fX81fnGv2td0PNF2Siqgm2YXM8l0Cff/65uDvvtPnAs43e6r54rpq0WYNnGz323SRA0N8kxPM7EHgnV+c/l5OD/vxa+9tydPaVjG+M3okrMq27gwPr7EsyUdl2LZ5LzwcPHoi7l36bDzzb6K3ui+eqSZs1eLbRY99NAgT9TUI830kBPfA7eZBbPCgmKltsPJeeBP2lRSyPGJ+2PYGnrSfVfAGdd7h0x/dhqaMCeuB39DC3dlhMVLbUeC49CfpLi1geMT5tewJPW0+q+QI67xD0fR+WOiqgB35HD3Nrh8VEZUuN59KToL+0iOUR49O2J/C09aSaL6DzDkHf92GpowJ64Hf0MLd2WExUttR4Lj0J+kuLWB4xPm17Ak9bT6r5AjrvEPR9H5Y6KqAHfkcPc2uHxURlS43n0pOgv7SI5RHj07Yn8LT1pJovoPMOQd/3YamjAnrgd/Qwt3ZYTFS21HguPd336ps3b5YrGjzCswFayS54luA0eArPBmjsUllA5x2CfmU6NkxZQA/8lI8lhrYzUdn2Ap5LT4vvVTyXnhaP8LRQXNbAc2nBI3sB/TOUoG9vTMUIBfTAj7CJSTWJicq2u/Bcelp8r+K59LR4hKeF4rIGnksLHtkL6J+hBH17YypGKKAHfoRNTKpJTFS23YXn0tPiexXPpafFIzwtFJc18Fxa8MheQP8MJejbG6dZ8ebv5BdnZ3JW9fMXfyc3CR2pHvgJNT3KpjJR2XYLnktPi+9VPJeeFo/wtFBc1sBzacEjewH9M5Sgb2+cZsWroRz1euIGSKXPo6FcJXSkeuAn1PQom8pEZdsteC49Lb5X8Vx6WjzC00JxWQPPpQWP7AX0z1CCvr1xmhV/91a+/Ycrubpafr786mP5/d778vFX/8tb77b5h2/fyu8SOlI98BNqepRNZaKy7RY8l54W36t4Lj0tHuFpobisgefSgkf2AvpnKEHf3rgzFb87P5NbvQM5O0/pIp1ifj3wi7dibVUBJqqqUtW2w3PpZPG9iufS0+IRnhaKyxp4Li14ZC+gf4YS9O2NO1ORoN+ZrjQ/ECYqW1I8Z57j8Vju37/fGhfP1oReATw9jtYLeLYmpECJAEG/BIenfAGCvu/B0lKAiWppYfEIz5miC/ruP+O2/cCzraC/P56+R9slPNsKsn+ZAEG/TIfnPAGCvsfBQk6AiSqHYfAQzxkiQd9gMAUowfi0RcXT1pNqvgBB3/dgqUSAoF+Cs+dPMVHZDgA8Z54EfdtxZVWN8WklOauDp60n1XwBgr7vwVIm8I+/kp9+r+KtNXs9+d5PfyX/mO2bwFc98BNoctRNZKKy7R48Z54EfdtxZVWN8WklOauDp60n1XwBnXd4M67vs79L//RrOfvDIzk6qvb5h2e/ln9KSEsP/ISaHmVTmahsuwXPmeeLFy+4Rt92aJlUY3yaMC6K4Lmg4EEAAZ13CPoBkCkZn4Ae+PG1MK0WMVHZ9heeM8/hcCjus+0Hnm0F/f3x9D3aLuHZVpD9ywR03iHol2nt/XP/LN/+77+TX3/1SxkOfylf/fqF/M9Xaf2jrKwL9cDP1vO1mQATVTO3dXvhOZMh6K8bIbtdz/i09cfT1pNqvoDOOwR934elucDvbn4jv/iTH8r3euq6/e/9UP7kF7+Rm5T+La6I6IFPR7cTYKJq56f3xnMm4m6t+ezZM81TexnP2mSlO+BZylP7STxrk7FDDQGddwj6NfD2ZtPffSOjP39fer3vy72P/6P86tfP5fz8b+Vv/vo/yV/+4fvyvd4d+be/+ntJKevrgb83fRnoQJmobGHxnHm6f5bl3pDb9gPPtoL+/nj6Hm2X8GwryP5lAjrvEPTLtPb1uddfyR//i38hf/Dwv8u1TvPfjeXnP74lvcOBjCfpAOmBn07L42wpE5Vtv+A587T6PsWT8WkrYFuN8WnrSTVfQP8cJej7Piw5gemtNn9ffvyL/1Nw1v5Gzs8OpHfrTM6/S4dLD/x0Wh5nS5mobPsFT5GXL1/K3bt3TWDxNGFcFMFzQWHyAE8TRoqsEdB5h6C/BmqvV//u/8lX/+4P5Hs/+g/yt//0zzmK38l3V/9V/vy9fyl/cPY/5Le5Z2J/qAd+7O2NvX1MVLY9hKdMr81/+PChCSyeJoyLInguKEwe4GnCSJE1AjrvEPTXQO316sn/lb/+5Mfyr9wbcW/9azk6+fdydvaX8hcnR3Jw63uza/dPPpWzs7PZ589G8veRX8ajB/5e96/BwTNRGSDmSuAp8vnnn8uTJ09yKs0f4tncrmhPPItUmq/Ds7kde24W0HmHoL/ZbP+2+O5czm6pu+3ou+/klxO4jEcP/P3rVNsjZqLC01ZAppftWLwR17WL8WnbO3jiaStAtZACOu8Q9ENqJ1v7O7l59Q9ydXVV7fPVjcR+ub4e+Ml2TSQNZ+K37Yh993z9+rW89957Zqj77mkGOS+Ep60onraeVPMFdN4h6Ps+LHVUQA/8jh7m1g6LicqWet893b3zra7Pdz2z7562oxNPPK0FqBdSQOcdgn5IbWpXF7gZy9OzI+lPLwnqy8HJUMY3dhf+64FfvWFsWSRAkCpSab5u3z1dyLe6Pt/1wr57Nh+JxXviWezSdC2eTeXYr4qAzjsE/SpqbBNWYPK1DI/vyenoUqbR/uY3Mji6Lf3joVwaZX098MMeUPerM1HZ9vE+e75582b6n6vd5TtWH/vsaWWYr4NnXqP9YzzbG1JhvYDOOwT99VY8sxWBiVyPTqWv/gHXZDyQw949GYzfmrRCD3yTontchInKtvP32dNdtuP+I67lxz57WjpmtfDMJGy+4mnjSJViAZ13CPrFTqzdmsArGZ28L4eDi9nZ/ECvqwd+oJfZm7JMVLZdvc+eDx48mN5D31J0nz0tHbNaeGYSNl/xtHGkSrGAzjsE/WIn1m5LYHIhg8Nbcjj4G7kYnsrB9Br923J09hXX6G+rDxq8DhNVA7SSXfbV091O091tx12+Y/mxr56WhvlaeOY12j/Gs70hFdYLEPTX2/DMLgSuR3LS78v7B0dyOryQm2kbruVicCy3uEZ/Fz1S6TWZqCoxVd5oXz3d2fzhcFjZqeqG++pZ1afudnjWFSvfHs9yH55tJ0DQb+fH3tYC86B/cPZ8HvLnLzBdzzX61txW9ZiorCRndfbRM9TZfCe6j562I9Kvhqfv0XYJz7aC7F8mQNAv0+G57QssLt1R1+jPfwGocu2+G9RVPt0PVz4xYAzEMQZ+8IMfyIcffsj3JD+X9nIMbH+y5RX3RYCgvy89ncxxrnkz7jTo35GT0SuTI9ED36ToHhfhjJRt5++bp7tcx/pOO/ke2TfP/LGHeIynrSqetp5U8wV03uHNuL4PS1sXeCvjwT3pn4zkOv/aXLqT14juMROVbZfsk6e7naZ7A+7Lly9tEXPV9skzd9jBHuJpS4unrSfVfAGCvu/BUgwCN8/l7ODfyNn5t7PWTK7k+aNjOdTX7bdoqx74LUqxK9dAm4+BfZn4Xch334vu+vyQH/viGdIwXxvPvEb7x3i2N6TCegGddzijv96KZ7YoMLl6Ll+eHM6vtT+Uky+fy5XRf8V1h6EH/hYPrZMvxURl26374JmFfPc19Mc+eIY2zNfHM6/R/jGe7Q2psF5A5x2C/nornumQgB74HTq0nRwKE5Ute9c9nzx5Mr1c58WLF7Zwa6p13XPNYQdbjactLZ62nlTzBXTeIej7Pix1VEAP/I4e5tYOi4nKlrqrnu4fYX3++efBr8nXvdFVT32c21rG01YaT1tPqvkCOu8Q9H0fljoqoAd+Rw9za4fFRGVL3UVP92Zbd2cd90+xrP/z7Sb9LnpuOuaQz+Npq4unrSfVfAGddwj6vg9LHRXQA7+jh7m1w2KisqXumqe7fab7ngvxX2+ryHfNs8oxh9wGT1tdPG09qeYL6LxD0Pd9WOqogB74HT3MrR0WE5UtdVc83d103Fl89xny9pmb9Lviuek4t/U8nrbSeNp6Us0X0HmHoO/7sNRRAT3wO3qYWzssJipb6tQ9X79+vbgW373xdtcfqXvu2k+/Pp5apN0ynu382LtcQOcdgn65F892REAP/I4c1s4Og4nKlj5Vzyzgu+8v96bbbV+Lv64XUvVcdzy7Xo+nbQ/gaetJNV9A5x2Cvu/DUkcF9MDv6GFu7bCYqGypU/PUAd8tx/SRmmdMdkVtwbNIpfk6PJvbsedmAZ13CPqbzdiiAwJ64HfgkHZ6CExUtvypeLr74Lu76Lz33nvTM/ixBfysV1LxzNob+1c8bXsIT1tPqvkCOu8Q9H0fljoqoAd+Rw9za4fFRGVLHbOne1Pt48ePp+HevcnWXYMfyyU663ohZs91bY55PZ62vYOnrSfVfAGddwj6vg9LHRXQA7+jh7m1w2KisqWOzTML93fv3hX36YL+Lu+iU1c7Ns+67Y9tezxtewRPW0+q+QI67xD0fR+WOiqgB35HD3Nrh8VEZUsdg6e7LMe9oTYf7t26FD9i8EzRbV2b8Vwn02w9ns3c2KuagM47BP1qbmyVuIAe+Ikfzs6bz0Rl2wW78HRn6N1lOA8fPpz+cyt3WU5qZ+7X9cIuPNe1pQvr8bTtRTxtPanmC+i8Q9D3fVjqqIAe+B09zK0dFhOVLfU2PF2wf/bs2eKsvXtDrQv5bl2sb6ptqrwNz6ZtS3E/PG17DU9bT6r5AjrvEPR9H5Y6KqAHfkcPc2uHxURlS23t6d4s6/5L7XA4nIZ5F+qzYO/O4qd0vX0TaWvPJm3o0j542vYmnraeVPMFdN4h6Ps+LHVUQA/8jh7m1g6LicqWuo1ndqbeXXaT3frSjXf32K3r4hn7TfptPDfV3sfn8bTtdTxtPanmC+i8Q9D3fVjqqIAe+B09zK0dFhOVLXVVz+y6evemWRfk3bh2b551l+C4s/fuzbNduwyniXRVzya193EfPG17HU9bT6r5AjrvEPR9H5Y6KqAHfkcPc2uHxURlS13k6QK7C+7ZmXod6t2lObHfz95WqXq1Is/qe7OlFsBTi7RbxrOdH3uXC+i8Q9Av9+LZjgjogd+Rw9rZYTBR2dI7Txfs82+WdWPWnbXPztQT6qubMz6rW1XZEs8qStW3wbO6FVvWF9B5h6Bf35A9EhTQAz/BQ4iqyUxU7bsjuwzHXXbz/e9/f6/eLNter7wC47Pcp+6zeNYVK98ez3Ifnm0noPMOQb+dJ3snIqAHfiLNjraZTFT1usadjXeX4biz8/raencXnE8//bReQbYuFWB8lvLUfhLP2mSlO+BZysOTLQV03iHotwRl9zQE9MBPo9XxtpKJan3fZNfWZ7e2dG+WdeMvuwtO0Rtm8Vzv2eQZPJuord8Hz/U2TZ7Bs4ka+1QV0HmHoF9Vju2SFtADP+mDiaDxTFSzTnBviHXX1WdvmHX3qs+HevdclXvW42k7qPHE01bAthrj09aTar6AzjsEfd+HpY4K6IHf0cPc2mHt20Tlwnp26Y27pj47S3///n2TW1vum2fogYqnrTCeeNoKUC2kgM47BP2Q2tSORkAP/GgalmhDujrxZ2fos8tuXJB3Y8cF++wOOO4svdvO8qOrnpZGdWrhWUdr87Z4bjaqswWedbTYtq6AzjsE/bqCbJ+kgB74SR5ERI1OeaJyZ+ddUHdhPrvkJn+GPmSgX9eFKXuuO6ZdrsfTVh9PPG0FqBZSQOcdgn5IbWpHI6AHfjQNS7QhsU/8LsivC/PuOnoX5t1/l3Vh321X5Tr6kF0Vu2fIYw9RG09bVTzxtBWgWkgBnXcI+iG1qR2NgB740TQs0YbseuJ3d7ZxAd1dRpNdZuPCu+tn9+kuuXHL7ox9LGG+rKt37VnWthSfw9O21/DE01aAaiEFdN4h6IfUpnY0AnrgR9OwRBuyjYnf3XvehXl3n3kX1l1wz66Zd/3plt0bY91z2XXz7heAFD+24ZmiS9M249lUrng/PItdmq7Fs6kc+1UR0HmHoF9FjW2SF9ADP/kD2vEBWE5U+TvauMtp8mfmi8L8jg89yMtbegZpYGJF8bTtMDzxtBWgWkgBnXcI+iG1qd1A4J1cDj+Sfv9URteTBvsX76IHfvFWrK0q0GTiz19q4wJ89gbY/B1t3Nl7t507m79PH00898mn7rHiWVesfHs8y33qPotnXTG2ryOg8w5Bv44e2wYXmFwO5bjfkx5BP7h1mxcom6jWBXp9z/ldvwG2zfFb71vmaf1a+1APT9texhNPWwGqhRQg6IfUpXY7gcnXMjx+Xw4O7hD020kG39tN/O56+Pw/kcqunyfQ1+cnSNU3K9sDzzKd+s/hWd+sbA88y3R4rq0AQb+tIPsHEphdsnPr+Ofy9It7BP1Ayk3LZm+Kze47736QZLepdOuyN8M2rb/v+zHx244APPG0FbCtxvi09aSaL0DQ9z1YikRgesnOrY9keHkt4wFBf1fdkt3pJrtlZdFZehf6z87OdtXETr4uE79tt+KJp62AbTXGp60n1XwBgr7vwVIMAtNLdg7kePi1TOQtQX9LfaIvvcneHOveKOvO0mdvjC1qDhNVkUrzdXg2tyvaE88ilebr8GxuV7QnnkUqrLMSIOhbSVLHSCC7ZGcol9Ob7BD0jWC9Mu5MfXY9vQvy7rIb98MgC/Xu0ps6b45lovJ4Wy/g2ZrQK4Cnx9F6Ac/WhF4BPD0OFowFCPrGoJRrJ7C8ZOfdvFD9oO8GdZVP98N1Hz4/++wz+eSTT+TDDz+UH/3oR/L9739/6vPDH/5Qjo6O5M/+7M/k008/3QuLfehvjnE/vq/p5271c7uZk70RWC9A0F9vwzNbF5iH+rVB/Y6cjF6ZtEoPfJOikRTJ3ijr/tlUdvmNu7Y+e5NsnTP1VQ/JhQ4+7ATwtLN0lfDE01bAthrj09aTar6AzjvcR9/3YWnnAvXP6Fdpsh74VfaJcZvsuvr83W9cuHchv+yaeutjYaKyFcUTT1sB22qMTzxtBagWUkDnHYJ+SG1qNxAg6OfR3Nn67A44+evq3Tp3zf2u/oMsE3++l9o/xrO9Yb4CnnmN9o/xbG+Yr4BnXoPH1gIEfWtR6hkL7G/Qz94w687W529r6c7W132zrHGnrJRjolohabUCz1Z8KzvjuULSagWerfhWdsZzhYQVhgIEfUNMSqUjoAd+LC1318+7s/P5YO+C/i7P1lexYaKqolR9GzyrW1XZEs8qStW3wbO6VZUt8ayixDZNBXTe4dKdppLsl5SAHvi7arw7a+/Ozruz9O5SHHd9fQrBXnsxUWmRdst4tvPTe+OpRdot49nOT++NpxZh2VJA5x2CvqUutaIV0AN/mw3VZ+3dvevdG2fdG2tT/WCisu05PPG0FbCtxvjE01aAaiEFdN4h6IfUpnY0Anrgh26YC/fuTL07Y+/O3Lsz+LFfjlPHhIm/jtbmbfHcbFRnCzzraG3eFs/NRnW2wLOOFtvWFdB5h6BfV5DtkxTQAz/EQeTDfXZJjlvXxQ8mKttexRNPWwHbaoxPPG0FqBZSQOcdgn5IbWpHI6AHvlXD3DX37jIc92ba7Mx9V8N93oyJP6/R/jGe7Q3zFfDMa7R/jGd7w3wFPPMaPLYW0HmHoG8tTL0oBfTAb9tId397dzmOq/vw4cPpG2zb1kxpfyYq297CE09bAdtqjE88bQWoFlJA5x2CfkhtakcjoAd+k4ZlZ+/dZTnu090WM+U31DYxyPZh4s8kbL7iaeOYVcEzk7D5iqeNY1YFz0yCryEEdN4h6IdQpmZ0Anrg12mguxQnf/beval23z+YqGxHAJ542grYVmN84mkrQLWQAjrvEPRDalM7GgE98Ks0zN3vPrv23t1BZ1/P3hdZMfEXqTRfh2dzu6I98SxSab4Oz+Z2RXviWaTCOisBnXcI+lay1IlaQA/8ssa6gJ9dnuMe87EqwES1atJmDZ5t9Fb3xXPVpM0aPNvore6L56oJa+wEdN4h6NvZUiliAT3wi5qaBXz3D63cm235WC/ARLXepskzeDZRW78PnuttmjyDZxO19fvgud6GZ9oL6LxD0G9vSoUEBPTAzzfZXZLjwr07i88Z/LzM+sdMVOttmjyDZxO19fvgud6myTN4NlFbvw+e6214pr2AzjsE/famVEhAQA/8rMku2Lv737tr8N1ddfioJsBEVc2p6lZ4VpWqth2e1ZyqboVnValq2+FZzYmtmgnovEPQb+bIXokJ6IHvmu/upONCPpfp1O9MJqr6ZmV74FmmU/85POuble2BZ5lO/efwrG/GHtUFdN4h6Fe3Y8uEBfID3525dyHf3VGHs/jNOpWJqpnbur3wXCfTbD2ezdzW7YXnOplm6/Fs5sZe1QTyecftQdCv5sZWiQtkA98FexfwCfntOpSJqp2f3htPLdJuGc92fnpvPLVIu2U82/mxd7lAlneyrQj6mQRfOy2QDfyHDx8S8g16monKADFXAs8chsFDPA0QcyXwzGEYPMTTAJESawWyvJNtQNDPJPjaaQE38Llcx66LmajsLF0lPPG0FbCtxvjE01aAaiEFCPohdakdrYAb+O72mVyTb9NFTPw2jlkVPDMJm6942jhmVfDMJGy+4mnjSJViAYJ+sQtrOyzw8uVLcQPffeXDRoCJysYxq4JnJmHzFU8bx6wKnpmEzVc8bRypUixA0C92YW2HBdxZfD3wO3y4Wzk0JipbZjzxtBWwrcb4xNNWgGohBXTe4Rr9kNrUjkZAD/xoGpZoQ5j4bTsOTzxtBWyrMT7xtBWgWkgBnXcI+iG1qR2NgB740TQs0YYw8dt2HJ542grYVmN84mkrQLWQAjrvEPRDalM7GgE98KNpWKINYeK37Tg88bQVsK3G+MTTVoBqIQV03iHoh9SmdjQCeuBH07BEG8LEb9txeOJpK2BbjfGJp60A1UIK6LxD0A+pTe1oBPTAj6ZhiTaEid+24/DE01bAthrjE09bAaqFFNB5h6AfUpva0QjogR9NwxJtCBO/bcfhiaetgG01xieetgJUCymg8w5BP6Q2taMR0AM/moYl2hAmftuOwxNPWwHbaoxPPG0FqBZSQOcdgn5IbWpHI6AHfjQNS7QhTPy2HYcnnrYCttUYn3jaClAtpIDOOwT9kNrUrihwLeOnj+So35v+Y6te71BOBiMZ30wq7r95Mz3wN+/BFmUCTPxlOvWfw7O+WdkeeJbp1H8Oz/pmZXvgWabDc20FdN4h6LcVZf+WAu/kcviR9A9OZTi+ntaaXD2TR0e3pX88lEujrK8HfstG7/3uTFS2QwBPPG0FbKsxPvG0FaBaSAGddwj6IbWpvVlgciGDw1tyOLiQfKafjAdy2Lsng/HbzTUqbKEHfoVd2KREgIm/BKfBU3g2QCvZBc8SnAZP4dkArWQXPEtweKq1gM47BP3WpBQIITAL+nfkZPTKpLwe+CZF97gIE5Vt5+OJp62AbTXGJ562AlQLKaDzDkE/pDa1GwpM5Hp0Kn3O6Df0C78bE7+tMZ542grYVmN84mkrQLWQAgT9kLrUthGYfC3D49vSPxnJ7Kr99mX1wG9fcb8rMPHb9j+eeNoK2FZjfOJpK0C1kAI673BGP6Q2tRsIZG/OfSTn3HWngd92dmHit3XGE09bAdtqjE88bQWoFlKAoB9Sl9otBd7J1egTOeh/JMPLd5VruUFd5dNNVnxiwBhgDDAGGAO7HgOVJzg2RKCmAEG/Jhibb0vgWsbDUznoH8vgwuqCnWXb9cBfPsOjJgJukuTDTgBPO0tXCU88bQVsqzE+bT2p5gvovMOlO74PS7sQmFzK6PRQeoFCvjskPfB3cZhdek0mKtvexBNPWwHbaoxPPG0FqBZSQOcdgn5IbWpXEPhWzs8+kF7vAzk7/7bC9s020QO/WRX2ygSY+DMJm6942jhmVfDMJGy+4mnjmFXBM5PgawgBnXcI+iGUqVlZYHa//HXX2PdX/pFW5cJqQz3w1dMs1hRgoqoJtmFzPDcA1Xwaz5pgGzbHcwNQzafxrAnG5rUEdN4h6NfiY+NUBfTAT/U4Ymk3E5VtT+CJp62AbTXGJ562AlQLKaDzDkE/pDa1oxHQAz+ahiXaECZ+247DE09bAdtqjE88bQWoFlJA5x2CfkhtakcjoAd+NA1LtCFM/LYdhyeetgK21RifeNoKUC2kgM47BP2Q2tSORkAP/GgalmhDmPhtOw5PPG0FbKsxPvG0FaBaSAGddwj6IbWpHY2AHvjRNCzRhjDx23YcnnjaCthWY3ziaStAtZACOu8Q9ENqUzsaAT3wo2lYog1h4rftODzxtBWwrcb4xNNWgGohBXTeIeiH1KZ2NAJ64EfTsEQbwsRv23F44mkrYFuN8YmnrQDVQgrovEPQD6lN7WgE9MCPpmGJNoSJ37bj8MTTVsC2GuMTT1sBqoUU0HmHoB9Sm9rRCOiBH03DEm0IE79tx+GJp62AbTXGJ562AlQLKaDzDkE/pDa1oxHQAz+ahiXaECZ+247DE09bAdtqjE88bQWoFlJA5x2CfkhtakcjoAd+NA1LtCFM/LYdhyeetgK21RifeNoKUC2kgM47BP2Q2tSORkAP/GgalmhDmPhtOw5PPG0FbKsxPvG0FaBaSAGddwj6IbWpHY2AHvjRNCzRhjDx23YcnnjaCthWY3ziaStAtZACOu8Q9ENqUzsaAT3wo2lYog1h4rftODzxtBWwrcb4xNNWgGohBXTeIeiH1KZ2NAJ64EfTsEQbwsRv23F44mkrYFuN8YmnrQDVQgrovEPQD6lN7WgE9MCPpmGJNoSJ37bj8MTTVsC2GuMTT1sBqoUU0HmHoB9Sm9rRCOiBH03DEm0IE79tx+GJp62AbTXGJ562AlQLFOFrbwAAF1BJREFUKaDzDkE/pDa1oxHQAz+ahiXaECZ+247DE09bAdtqjE88bQWoFlJA5x2CfkhtakcjoAd+NA1LtCFM/LYdhyeetgK21RifeNoKUC2kgM47BP2Q2tSORkAP/GgalmhDmPhtOw5PPG0FbKsxPvG0FaBaSAGddwj6IbWpHY2AHvjRNCzRhjDx23YcnnjaCthWY3ziaStAtZACOu8Q9ENqUzsaAT3wo2lYog1h4rftODzxtBWwrcb4xNNWgGohBXTeIeiH1KZ2NAJ64EfTsEQbwsRv23F44mkrYFuN8YmnrQDVQgrovEPQD6lN7WgE9MCPpmGJNoSJ37bj8MTTVsC2GuMTT1sBqoUU0HmHoB9Sm9rRCOiBH03DEm0IE79tx+GJp62AbTXGJ562AlQLKaDzDkE/pDa1oxHQAz+ahiXaECZ+247DE09bAdtqjE88bQWoFlJA5x2CfkhtakcjoAd+NA1LtCFM/LYdhyeetgK21RifeNoKUC2kgM47BP2Q2tSORkAP/GgalmhDmPhtOw5PPG0FbKsxPvG0FaBaSAGddwj6IbWpHY2AHvjRNCzRhjDx23YcnnjaCthWY3ziaStAtZACOu8Q9ENqUzsaAT3wo2lYog1h4rftODzxtBWwrcb4xNNWgGohBXTeIeiH1KZ2RYFrGT99JEf9nrgB2usdyslgJOObScX9N2+mB/7mPdiiTICJv0yn/nN41jcr2wPPMp36z+FZ36xsDzzLdHiurYDOOwT9tqLs31pgMh7IYf9IHj2/kmm0v/mNDI5uS/9kJNetq88K6IFvVHZvyzBR2XY9nnjaCthWY3ziaStAtZACOu8Q9ENqU7uCwFsZD+6pUD+R69Gp9PunMrq2OauvB36FhrFJiQATfwlOg6fwbIBWsgueJTgNnsKzAVrJLhaeDx48kLt378p4PC55JZ7aRwGddwj6+zgKYjrmyYUMDm/J4eBidjZ/3rbpWf7ePRmM35q0Vg98k6J7XMRiotpjvpVDx3OFpNUKPFvxreyM5wpJqxUWni7g379/f3q56+PHj+XNmzet2sTO3RHQeYeg352+TfNI1gR9uR7JSf+OnIxemRyXHvgmRfe4iMVEtcd8K4eO5wpJqxV4tuJb2RnPFZJWKyw9h8PhNOy/99578uLFi1btYuduCOi8Q9DvRr+mexTTQN9fOaNP0I+7Sy0nqriPdDutw9PWGU88bQVsq1mPz9evX4u7lMcFvIcPH4pb5mN/BQj6+9v3cR45QT/OftnQKuuJasPLdf5pPG27GE88bQVsq4Uan0+ePBF3Zt99usd87KcAQX8/+z3eoza4dMcNaj4xYAwwBhgDjAHGwHIM8EbdeKNPyJa574H8x2JJP5HfiMcIBBNYE/R5M24wcZPC/LwwYVwUwXNBYfIATxPGRRE8FxQmD0J5umDv7sTj6vMGXZOuSrKIHl8E/SS7sUuN5vaaKfam/kGS4jHE1GY8bXsDTzxtBWyrWY9Pd8edzz//fBrw3Z14Xr58adtgqiUloMcXQT+p7utmY2dn7w/ldHQ5vcXm5OqZPDq6Iwdnz+XG6JD1wDcqu7dl8LTtejzxtBWwrcb4jNfT3Wknuy7f3YGHDwT09ytBnzERgcC1jJ8+kqN+dm3hbTk6+0rGNzb/LMsdoB74ERx00k3A07b78MTTVsC2GuMzPs/8nXbcHXe4045tH6VcTX+/EvRT7k3aXllAD/zKO7JhoQCehSyNV+LZmK5wRzwLWRqvxLMxXeGOFp4u3Lsz+c+ePSt8DVbur4AeXwT9/R0Le3XkeuDv1cEHOFg8bVHxxNNWwLYa4zM+T3cdPv8N17ZfulJNf78S9LvSsxxHqYAe+KUb8+RGATw3EtXaAM9aXBs3xnMjUa0N8KzFtXFjPDcSsUELAT2+CPotMNk1HQE98NNpeZwtxdO2X/DE01bAthrjE09bAaqFFNDfrwT9kNrUjkZAD/xoGpZoQ/C07Tg88bQVsK3G+MTTVoBqIQX09ytBP6Q2tRFAAAEEEEAAAQQQ2JIAQX9L0LwMAggggAACCCCAAALbFCDob1Ob10IAAQQQQAABBBBAYEsCBP0tQfMyCCCAAAIIIIAAAghsU4Cgv01tXgsBBBBAAAEEEEAAgS0JEPS3BM3LIIAAAggggAACCCCwTQGC/ja1eS0EEEAAAQQQQAABBLYkQNDfEjQvgwACCCCAAAIIIIDANgUI+tvU5rUQQAABBBBAAAEEENiSAEF/S9C8DAIIIIAAAggggAAC2xQg6G9Tm9faocC1jJ8+kqN+T9yg7/UO5WQwkvHNZIdtSvOlJ5dDOb51KqNrZXczlqdnR9Kf+vakd3Aig9FYbtI8zLCtrmJVZZuwrUyn+uRKzr88kYPp2OvLwclARuNrv/14+h5VlyZfy/D4tvRPRuKJ4llVUOR6JCeLuSebg/pyOLiQxU9RPKt7smUtAYJ+LS42TlVgMh7IYf9IHj2/mv1gvfmNDI4KJq9UD3BL7Z5cPZXTg770+jrov5Xx4J70j34mz6/eichEbi6+lKP+HTkZvdpS6xJ5mWlwuiMHJ8P5L5rv5Or5z+Sof1uOh1/PJ348q/fmt3J+9kFu7F3LxeBY+v2PZHjpxqL7wHMOUfPLO7kcfjT95d0P+njWgZzNP/pnZr4CnnkNHtsKEPRtPakWpcD8h6h3Rmoi16NT6a8E1igPIIJGub+IfCYnH/9SRl/cWw36kwsZHL6vQv0rGZ3cWT0TGMHR7LIJ00m/d08G47e5ZszGaO9wIGN3ig/PnM2Gh9OzpeoXyum63BlTPDcgFj89++vd+3Lwft//PsazGKxw7Xyuyb63i7bBs0iFdUYCBH0jSMpELDD9IXrL/zOpy1LuLP9K4Ir4OHbWtNlEdevoS7m4+e30zL0+o19sqcLrztqfwgvPrea/eOLZss9U0Mezgef0L08HcvyffyVfHPpBH886nkUnmvz98fQ9WLIVIOjbelItRoE1QX923aQ6Exhj+yNo0+SbK/lmejGpH0izphVPVPzVJPPZ/HX214/sjD6em8XWbjG5kuePjqR/8EjO5+/BwXOt1ponZpfs3DoeyuV37q91VYI+3++FmPP55+DkL+TEXfbo3kfSP5Kzp8v3LzE+C+VYaSRA0DeCpEzEAurs3qKlRX/yXzzJg2KBoqA/n+BX/jrCxF9suLp2eonE4v0MeK4KVVmTuc3fbD+8mL8RPFuvL5difK5TnV2yM3+PwzSo5oM+nuvcCtfP55+D06dylb3zdnIpo9N78/fk4FnoxkozAYK+GSWFohUg6Bt2DUHfEHNWKntz7tlzgqkV7vTN9nfkYGpKkKrFml2yk70xnKBfi6/axvlfMr+bvV+MEyXV6NiqtgBBvzYZOyQnwKU7hl1WFPTXvd8hP5llp7IMm9KFUtMze4fSd5dI5Ij4U37bzvXHHp5VPXOX7GTjcSXo8/1eVXP9dv4vn4zP9VI8016AoN/ekAqxC6wJ+sU/XGM/mF23r07Qn29bdreJXR/OLl//5kKGJ4fSn77JOUtVswYVj008q3dXlSCF54rnPNS7YFD4yZvFV8iarWB8NnNjryYCBP0mauyTmMBsQvfvA+2f8UvsgHbY3Hk40rclnQYEbq9ZtWOy/0dQFPKnNfCsSrnm7lnz7+/sDbl4VvZc2XAe/r2fn3iuMK1bUfxL+3x8ZidB8FzHx3oDAYK+ASIl4heY/bA9lNPR5fQfEk2unsmjo+wa3vjbH08L1wT9+T8k6h18IqPpP8zK/gnUB3J2/m08zY+hJTfP5czdfSMLoYVtmjvjWajjrcze45B7s+Ps+/tg5R+QMT49uWoLRUGf7/dqdm6rgvEp0/eQ/CT3s5Hv9+qgbFlXgKBfV4ztExVw//DpkRwt/g35bTk6+2r+n0kTPaSdNHtd0BcR/S/c1S3kdtLc6F507rfu0oj8G/LwrN57N2MZDU7kIHM9OJEvz+f/BTurgmcmUe9rYdDn+70WIuOzFhcb2woQ9G09qYYAAggggAACCCCAQBQCBP0ouoFGIIAAAggggAACCCBgK0DQt/WkGgIIIIAAAggggAACUQgQ9KPoBhqBAAIIIIAAAggggICtAEHf1pNqCCCAAAIIIIAAAghEIUDQj6IbaAQCCCCAAAIIIIAAArYCBH1bT6ohgAACCCCAAAIIIBCFAEE/im6gEQgggAACCCCAAAII2AoQ9G09qYYAAggggAACCCCAQBQCBP0ouoFGIIAAAggggAACCCBgK0DQt/WkGgIIIIAAAggggAACUQgQ9KPoBhqBAAIIIIAAAggggICtAEHf1pNqCCCAAAIIIIAAAghEIUDQj6IbaAQCCCCAAAIIIIAAArYCBH1bT6ohgAACCCCAAAIIIBCFAEE/im6gEQgggAACCCCAAAII2AoQ9G09qYYAAggggAACCCCAQBQCBP0ouoFGIIAAAgggUCRwLePhqRz0etLrHcrJ8EJuijZjHQIIIFAgQNAvQGEVAgggoAUm44Ec9u7IyeiVfmq+PJHr0an0+6cyup6s2SZbPd+2d08G47fZygS/vpOr5z+To74LoX05HFyIPvKZW0/6JyO5XjnCtzIe3JNeJbOVnUUmV3L+yy/k5KAvbjJzn/2jMxmeX6l2bPCeXMjg8FZh+1de9XokJx8MZKwPdGVDmxVTv/5HMrx8J5PLoRz3fyrDq+9silMFAQQ6L0DQ73wXc4AIIGAj8EpGJ3fWBFb3Cpuez7diQ/DMbxrz4woBOQv6vd4Hcnb+rTqaFkH/5jcyOLot/aNH8nSc/QrxTq7Ofy4nB7fk4PSpXC3C+AbvCscxa7ir87F8UPALjTqwAIsTubn4Uo5uVflFMsDLUxIBBJIUIOgn2W00GgEEti8wD4trzj7PzrZWPUO/IXhu/+CavaI7u90vPpOfFZwF/VtycHBHegeP5Pxmkb5FpGnQ/1bOzz6Q/vFQLvPl5i86uXoqpwd35Hj49fzM/gbvykHftfenJX/VyY7a+uuNnJ8dTP9q4v8CY/061EMAga4JEPS71qMcDwIIhBOYBsJ8gMxeah5YD5eXdEyuzmV4diT96SUlfTk4GchoceZZB8/ZXwN6uf1Firfp/+lAnn55Mr9m29Udyvj6Us4X627L0aNnubPZro3XMn76aH6JTU96Byfy5crlLdmxLL+WHcPyTP3skpl1l9/Mtrsjf/rFZ3Lc78vB2fPcNeZFQd+dlR/K2dHt3OU4+bP27nDcLxhFfyHI2q77Q1tm282/Vg36brsPPi6/NOtmLE8X/e4uJcraPm9D/49l8PTL5eVGB6cyHL+a/yVidglS/+hn8vzqnWqkiEy+luHx+3I0/PvV51iDAAIIFAgQ9AtQWIUAAggUC+gAOd9qGhTfX57pvXkuZ97lI9dyMTiW/vxa63UhvkrQ7/Vuy9HgN9OwPPsrQv5NmvPLO/r59xK8k8vhR9KfBkp3iUu2TVlQFpGNx5AF7ipn9F17Lmft8C7h0UF/Ijfnj+SgfyyDi/nlODcXMjw5lKVNFpjLL2GZ/YKR/YXFJui7mh8UvtcgGwcuiLvLib6UC/eXi8mljE4P5+9B+G72Ho7p+wiy52fbu/c3TH9hc/tklyTNX2d6HItfAN0vhB8sx1nxIGUtAgggsBAg6C8oeIAAAghUEJieTc4C5Gz7aRhbXNIzD6/6MpXp2djb82v8dfCsfkZ/GXjdaxfsN/2lo798L8G0vfng7/Zb8wvL4vCrHEPdoP9qfkb6du4SHh30Z8fjv3FXW+l9Fo32HsyCfnbcWY35Xx/mb9x1E+Dys/wXltkvZ+XX589e0x8by0Zlbcg/X7ROH9/8l8RpW4v+WrN8BR4hgAACWoCgr0VYRgABBEoFXBh9P3eHFhfMfpK7JKUorLqC8wA3PTurA15BYF9z6U5R0PeCsRf09etkB7ZuffZ8lWNoEPTd3xOmd47JLuHRoXb++tO76QxlOBzKcJBdppQF5DX7ZE3PSnh3SdpwvFOzTXfdcSY/LblL0qZ2FbVhvm7xS6Jr/KY66kBZRAABBEoECPolODyFAAIIFAl4l1NML3H5yTIAekE7v3c+wGWXcWThNXTQz5+5zj/OXj/fTpfG3e0mc38VWDydP4bJ/Fr58jPh/pl1V2h+KdH0MqZrdXvN7LKi2fsIBi7o//K5XDw9lf7iVqRF4XjRwMUD/+x6UchebDo/3g1B3/1lpPS2msomV372sKgNRceyqc5KYVYggAACawUI+mtpeAIBBBBYIzANwi7c/3Z63fUt7+4vVc6G69AXOOh7Z4zXHJO3usoxNDujP32Z7DKm45/L0y9y99Gfn1n337CrrbLXLXuPwTwsL65tL6iRP9756xb9H4BsM/eLQ+n1+dmZ+MUvJNme2deiNszXef1D0M/E+IoAAu0FCPrtDamAAAJ7J+ACmrte+7/J05U3R86DWutr9Od1FsGx6JeBgkCuz8YXXqNfFDDznVjlGLLAXfeM/ux1Zmfc57fdzIJuYVu1g9t/fnvN7E2v+aa7P0iY317TtWHzbTX9vyKoRq1ciuWeL+qH+fFmJroMywgggEANAYJ+DSw2RQABBBYCLpQeHMjBob43fJU71swD3iLEZ8uHcjq6lIm7M854OL8FY3Z5TcOgPw/Fvfxdd6a1i24Tuji6AHfd0f9ReBbW3SS0uDXn4kx/dn/8/G1BM4d5G7O70yxuX+nWB/qHWe6Xp0231XQvn7V/8QvIO7kafSIH036e/fVneQnSdIeC/6ZM0J/3MF8QQMBAgKBvgEgJBBDYRwEXyH6Se1Oub1B2D/rFmdxF0Hf7Xst4eJq7P/6X8nTwx7lr05sG/Xnt/H30+0dy9nScu5+93/ZsqfwY2p3Rn77G9P0N/WXQn56NfyaPFvfQvy1HZ0M5v/gvcuLdMjRr4bWMR4PlPemnt648k+HK/wjIfpFSvyxkZTZdurPx+vyskPslT99HP2tPURvm67yz9wT9nCYPEUCgpQBBvyUguyOAAAIIIIAAAgggEKMAQT/GXqFNCCCAAAIIIIAAAgi0FCDotwRkdwQQQAABBBBAAAEEYhQg6MfYK7QJAQQQQAABBBBAAIGWAgT9loDsjgACCCCAAAIIIIBAjAIE/Rh7hTYhgAACCCCAAAIIINBSgKDfEpDdEUAAAQQQQAABBBCIUYCgH2Ov0CYEEEAAAQQQQAABBFoKEPRbArI7AggggAACCCCAAAIxChD0Y+wV2oQAAggggAACCCCAQEsBgn5LQHZHAAEEEEAAAQQQQCBGAYJ+jL1CmxBAAAEEEEAAAQQQaClA0G8JyO4IIIAAAggggAACCMQoQNCPsVdoEwIIIIAAAggggAACLQUI+i0B2R0BBBBAAAEEEEAAgRgFCPox9gptQgABBBBAAAEEEECgpQBBvyUguyOAAAIIIIAAAgggEKMAQT/GXqFNCCCAAAIIIIAAAgi0FCDotwRkdwQQQAABBBBAAAEEYhQg6MfYK7QJAQQQQAABBBBAAIGWAgT9loDsjgACCCCAAAIIIIBAjAIE/Rh7hTYhgAACCCCAAAIIINBSgKDfEpDdEUAAAQQQQAABBBCIUYCgH2Ov0CYEEEAAAQQQQAABBFoKEPRbArI7AggggAACCCCAAAIxChD0Y+wV2oQAAggggAACCCCAQEsBgn5LQHZHAAEEEEAAAQQQQCBGAYJ+jL1CmxBAAAEEEEAAAQQQaClA0G8JyO4IIIAAAggggAACCMQoQNCPsVdoEwIIIIAAAggggAACLQUI+i0B2R0BBBBAAAEEEEAAgRgFCPox9gptQgABBBBAAAEEEECgpQBBvyUguyOAAAIIIIAAAgggEKNAadB3T/KJAWOAMcAYYAwwBhgDjAHGAGMgzTGQ/wWkl1/gMQIIIIAAAggggAACCHRDgKDfjX7kKBBAAAEEEEAAAQQQ8AQI+h4HCwgggAACCCCAAAIIdEOAoN+NfuQoEEAAAQQQQAABBBDwBP4/YPfN1QiFIMUAAAAASUVORK5CYII="></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Annotate the graph to show the buffer region and the volume of sodium hydroxide at the equivalence point.</span></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Identify the most suitable indicator for the titration using section 22 of the data booklet.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Describe, using a suitable equation, how the buffer solution formed during the titration resists pH changes when a small amount of acid is added.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b(ii).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><img 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"></p>
<p><span style="background-color: #ffffff;">buffer region on graph ✔<br>equivalence point/V<sub>eq</sub> on graph ✔</span></p>
<p><em><span style="background-color: #ffffff;"> NOTE: Construction lines not required.</span></em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">phenolphthalein ✔</span></p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept phenol red.</span></em></p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em><strong>ALTERNATIVE 1:</strong></em><br>H<sup>+</sup> (aq) + CH<sub>3</sub>COO<sup>–</sup> (aq) → CH<sub>3</sub>COOH (aq) ✔</span></p>
<p><span style="background-color: #ffffff;">added acid neutralised by ethanoate ions<br><em><strong>OR</strong></em><br>«weak» CH<sub>3</sub>COOH (aq)/ethanoic acid replaces H<sup>+</sup> (aq)<br><em><strong>OR</strong></em><br>CH<sub>3</sub>COOH/CH<sub>3</sub>COO<sup>–</sup> ratio virtually/mostly unchanged ✔</span></p>
<p><span style="background-color: #ffffff;"><br><em><strong>ALTERNATIVE 2:</strong></em><br>CH<sub>3</sub>COOH (aq) <span class="mjpage"><math alttext=" \rightleftharpoons " xmlns="http://www.w3.org/1998/Math/MathML"> <mo stretchy="false">⇌</mo> </math></span> H<sup>+</sup> (aq) + CH<sub>3</sub>COO<sup>–</sup> (aq) ✔</span></p>
<p><span style="background-color: #ffffff;">equilibrium shifts to the ethanoic acid side<br><em><strong>OR</strong></em><br>CH<sub>3</sub>COOH/CH<sub>3</sub>COO<sup>−</sup> ratio virtually/mostly unchanged ✔</span></p>
<div class="question_part_label">b(ii).</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>
<br><hr><br><div class="specification">
<p>Ammonia is soluble in water and forms an alkaline solution:</p>
<p style="text-align: center;">NH<sub>3 </sub>(g) + H<sub>2</sub>O (l) <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⇌</mo></math> NH<sub>4</sub><sup>+ </sup>(aq) + HO<sup>– </sup>(aq)</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the relationship between NH<sub>4</sub><sup>+</sup> and NH<sub>3</sub> in terms of the Brønsted–Lowry theory.</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 concentration, in mol dm<sup>–3</sup>, of the solution formed when 900.0 dm<sup>3</sup> of NH<sub>3 </sub>(g) at 300.0 K and 100.0 kPa, is dissolved in water to form 2.00 dm<sup>3</sup> of solution. Use sections 1 and 2 of the data booklet.</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>Calculate the concentration of hydroxide ions in an ammonia solution with pH = 9.3. Use sections 1 and 2 of the data booklet.</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>Calculate the concentration, in mol dm<sup>–3</sup>, of ammonia molecules in the solution with pH = 9.3. Use section 21 of the data booklet.</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>An aqueous solution containing high concentrations of both NH<sub>3</sub> and NH<sub>4</sub><sup>+</sup> acts as an acid-base buffer solution as a result of the equilibrium:</p>
<p style="text-align:center;">NH<sub>3</sub> (aq) + H<sup>+</sup> (aq) <math xmlns="http://www.w3.org/1998/Math/MathML"><mo>⇌</mo></math> NH<sub>4</sub><sup>+</sup> (aq)</p>
<p>Referring to this equilibrium, outline why adding a small volume of strong acid would leave the pH of the buffer solution almost unchanged.</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>Magnesium salts form slightly acidic solutions owing to equilibria such as:</p>
<p style="text-align:center;">Mg<sup>2+ </sup>(aq) + H<sub>2</sub>O (l) <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⇌</mo></math> Mg(OH)<sup>+ </sup>(aq) + H<sup>+ </sup>(aq)</p>
<p>Comment on the role of Mg<sup>2+</sup> in forming the Mg(OH)<sup>+</sup> ion, in acid-base terms.</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>Mg(OH)<sup>+</sup> is a complex ion, but Mg is not regarded as a transition metal. Contrast Mg with manganese, Mn, in terms of one characteristic chemical property of transition metals, other than complex ion formation.</p>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAsYAAADYCAYAAADoKyV3AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAABF9SURBVHhe7d1xkNb1Yefxj3uMOmHDIVHZ8egjxlIOqOQpAa6tNo3hLJxRbk8nhoyG2yRbx1iMR/XKBDqZnGc0mISNlEab2pSC3KW2Mk+xZmIY1GZMJgX6ZE/jpt6aSFYusxhDOWRp4jDrfXd5kBXxNCnBfeD1mnmGZ3/7e76/7+95fn+85+d3H095qQgAAJzkWhr/AgDASU0YAwBAIYwBAKAQxgAAUAhjAAAoXvWtFJXKpMYzAAA4sfX17Ww8e40wHrkDAACciI7sXkspAACgEMYAAFAIYwAAKIQxAAAUwhgAAAphDAAAhTAGAIBCGAMAQCGMAQCgEMYAAFAIYwAAKIQxAAAUwhgAAAphDAAAhTAGAIBCGAMAQCGMAQCgaMowPlBflWplUiqvesxNZ9fm9O4bbOw5ugz21/OVen9G5+wAAE5uTXzHeEaW1v4xfX07G4++9GxZnokPLcnC27+evY29Ro0D9dy5YGGW/90PhTEAwCh0Ai2laEnrlAXpWDQ7AxsfTn2v/AQA4I07gdcYH0h/bUkq096fzo65B5daLFyb3sEX01/fkBULpo5YflFLvf/Fgy/rr6VzaNtnbk3ntMYSjQUrsv4VSyCGxqilq7MxbmVqFqzY8KoxOjrfn2nDvy+Pty9M1+5kd9fCvL26JCtuvqiMuzr1kcs+9j6aFdOmZuHapzI4PMakVLvq5UwAAPhFO4HCeDD7er+atV9+ItOvvTyzxzVObaA7O9/xx+nZsT2bbrkkE7vvTkf7ndl16Z9n646d2bH185n55G1p77h7RKT+MF/70jOZuW57dvT1ZPOiH+e29puyrvcn5XflOPWhMW7Lkxf9eXqGlnH0bMyiXXe+aoyHd16YDT1PZ+umh7L16U1ZOiGZsHRTvt+9Ossue0/G9tyX+7eXWh42mL31h7NxYHauuPDctLS1554ydvfSWRnT2AMAgF+cJg7jJ9PV/m8bd2yHHpVMn/dnyaLV+aPffWdaG3sls7PosgvS2tKWavW01O+/Lz3V67NsyW+mrZx9S9tvZsmy61N9RaSOLXF9XT48p628QeMydfHSLKtuz8q138re7M72Q2MsnnHwOK0zsvgoY1QXzU+19fS0VWcMH+uwMuq7ri5j/igbN3+nsR56d+qbH85A9ZJceP7pw1sAADh+mjiMj/zju6HHA/lUx7szpXXkaZ2R8W9t3HM90JdvP7gjEy6emfNG7NIycXIuGPujPLHjx43lEqdl0nlth+O65S0Zf/ZpGdi1J/sHf5wdT/wo6f7DzJt8KMonZfK8P0x3Sdxde/658aLTcvb4t7z2G9xybi68YnYG1v9pNg7did77nWze+KNUr/iNnN/EnwoAQLOSYEP278mugcbzN2jsB+/Nd14R5UOPx3NP+y819ng9p2fKFb+bD47dno3feCZ7Ri6jaOwBAMDxc3I12JhKfu29k7P7kcfzzIi/eRt8YU+ey1m5YPLbGm/IT/Pcnv2H/9hucH/2PJdUL5qWs1velskXnHVsvvli3K/mkivOSvfKT+bmtV+1jAIA4E10kt2cnJDZV16V6d1fyMo130x/6drB/m9mzcovpHv6Vbly9oTGfgMlVruy7qm9Qztk25o7srL34nz4d84rb1hjjIG/zKc/+8jwGMP7rP5IplWuztrhP9A7ijFn5bwy/k+f35v9jU0vz2fgG/naw//XMgoAgDfRSZZhLWmddV3W1m7MxK98KHMnT8rkuf8lj89Yntra6zLr5bXJYzN94b/OY+3TU5k8O4sff0fWbPrvaT/n1PK7Q2N8Iu/cev3wGAf3mZHba5/L4imvdcd3Yn79mqty7vpr8quVJan1D30JWxmrOj+LqmPL8yOWUfzMX9fW+Hq6yvx01fc1th3hdcc8FmM8m1rnzFSqq1I/6g5v4BjHYoyTZp7F8TjXE2aeo+TaaZZ5unZG8LkfZp6v4No57HWPMfqd8lLReD5s6A/JhtbLnrSGPtS5n0hWP/gzrBf+l3g+j65oz+InOrOl1pEp7hgDABwXR3avDHtTDX0n8v/Ip9cnH/z9y0QxAMCbSIq9aYb+k0U109vvzaSb78gN7zqzsR0AgDeDpRQAAJyULKUAAICjEMYAAFAIYwAAKIQxAAAUwhgAAAphDAAAhTAGAIBCGAMAQCGMAQCgEMYAAFAIYwAAKIQxAAAUwhgAAAphDAAAhTAGAIBCGAMAQCGMAQCgEMYAAFAIYwAAKIQxAAAUwhgAAAphDAAARROH8d70PvpX6eqcm0pl0sHHtI+kq1ZP/2Bjl2bSX0tnZWY6a882NgAAcDw1aRjvSb3rP2feR7+afGBDevp2pq+vJ1vWvCNPfvwD6bhzW/Y19mwabe25p+/x3NP+S40NAAAcT00YxoPZV1+X5V3J0g2fy9J5U9I6vH1cpsy7LrfcviA/6Pp8/rr3J8NbAQDgjWjCMN6d7fffl57qf8xl1fGNbYecmnP+/ceyYctd6Zhy+sFNg/2pr1+RBUddbnEg/bUlB7d96fA+0zrvzt/XH83ql5dpXJ4Vtacad6GfTa1zZtnn1nxm5O/Xbzu8hGPomLVV6ZzWOObQY8GKrK/3l6wvhpdNzE1H5/szbfj3V2ftIxtGLKUo8d+7+RXLRKZ1rs6W3r1Drx422L8t61dcPuL3q1I7NP7Lc/xMvvTyPlOzYEUtvfsakxyew6RUu+rlXQAAoPnC+EBfvv3gjky4eGbOO9rsW8/PrCnjGj/sSf3Oj6b9tv5cev/27Oj7fraum/Pq5RYDj+Wh783JH/XsSM/m23PhN27N+9o/l+evqZXXfCe1pWOy/mO3vOIu9MDXNuWpmZ/P1h195TVXZddt1+TadU+VMP1JetfdlPaP/+9cVOtJX9/O7Nh6X26etDkrrv5Cvr73UD3/MA/vvDAbep7O1k3Ls+BXxja2F3u/ntsXLslD59xext+Zvp6Hsiz35kM3bUzv0Mv3bcudHdfktl3vzf1bv5++HduzbuaT+Xj7R3Nnfc/BMYqBr30935vz2fT0lTnWfi9Zvyw3/XXvwXgeXrqxM91LZ2XM8N4AACe3Jl1j/Abt7c79X+xJddkfZMmctnKyp6ZtTkeWLZudni8+kO0vR+rsLOpYkCmtY9I6ZW4umlIi9Xc+kuvffU55zfjM/O3fyoQ8n396YcS91enX5PoP/3raWlrSOvV9w2N2r9xQwvfUTOnYkL7v3p2OqQcDvaVtVv7DRVNKqe7Onv2Hjjk21UXzU209PW3VGWn7V43NQ/bvya6B8u8Z49I69Am1zkjHPVvTt6kjU1oGs3f7A/liz+xyzI7MaTt16ACZs+QPsqzaky/e352X7ytXr0zHwqlpLWfRWp2fRdWk+7Hv5rnGrwEAOKz5wrhlbM6ojLi7+v9x4Ol6HhyYnItn/psRJ3pqJk4+P2MHvpcdu15sbDsj49/auG/a8paMP/u0TJhRyZkHtxzdpErOGa7WIWPy1vFnvCJ8B/vreaBWS622MWtXvC/zPvF3w9sPOy1nj3/L0T+Atvfkv95ycX7Q9Z8yvTI3nV1fTu2BQ8s/9ufpb/99Bia8MzPPaywXGdLytky+4KwMPLEjuw6199nj89ZDB2icFwAAR9eEYXwwAHc/8nieORSAIx2oZ/UNI9fbHmkw+/fsztAN2V+MF9P/6K25dO4H8sfbflx+bsn4Sz6V2i2/ffDXb8i4TO24O9/teSTrVi/Ppdmcj//ewsy99NY82n8o5o/0z9mz6/AaZAAAfjbNF8aZkNlXXpXp3X+Tv+0+vJ72oMHsfayWu/5mY7btHZNTf3lW3jt2Rx55/P+MiOQDeWHPPyVjz8/kiac2tv0cntuTF14etDFmdXZmnPlsvrpqfX7wwT/JfZ/6SNrb29P+7nOyt/cHjX1/Bq1T8u7y+iuW/lme3HJrqj335d5vvZBf/rV/l7G7/yGPPzPimzcG92fPcz/N2AsmZ2ITfqoAAG+2JkyolrTOWpzbliZdV9+Uri29jT+i25veLWvy+x/9y5zb8d9yw7vOTMZVc+W109O98o6s2TZ0B/nF9G9bm5Urt2f6tZdn9rh/wel3fyEr1z1Zjn1ozN5c+uH35PwxjSUN//BY6sN3d8u8aqvz6fU7Dr7uDRj8YS3XTZubztXfbCyfKGN841vpzQW5aMbEjJt9ea6dvr0cc222DR1jsD/b1tyRld3Tc+2V1Rz600MAAN64Jr23OD6zlv5Fttz1W3n+M5dl+vDXkU3PvCX/KzNu/59Z+8l5aRs+s7LfjXeltrwtX7lydiZX3p65i7cd3OfGOY3vP/45Tf+NTHzsQ+XYjTHXbMhn2yvlDT0z77rhjtw8aVMWz317mdec3LDt3Fy7dH7Gpjvb/vHIu9yv1nLOpfnkhhsz8SsfytzJB8/tki+/Lctrn8vioa+ha52TG9fem+UTH8yVQ8eYPDuLH5+R22t35cZZR36F3Wv4eb+u7XVfd/Cr4irVVakfdYfGV+RV5qer/lr/G5ZjMIZ5jjAa5lkcj3N93WOMks+kWeY5Kq6dZplnMSqunRPl/fS5v8IJM8/R75SXisbzYUPfeTv0FWO8lqEL5735WG7J1nva09bYCgBAczmye61GBQCAQhgDAEBhKQUAACclSykAAOAohDEAABTCGAAACmEMAACFMAYAgEIYAwBAIYwBAKAQxgAAUAhjAAAohDEAABTCGAAACmEMAACFMAYAgEIYAwBAIYwBAKAQxgAAUAhjAAAohDEAABTCGAAACmEMAACFMAYAgEIYAwBAIYwBAKAQxgAAUAhjAAAohDEAABTCGAAACmEMAACFMAYAgEIYAwBAIYwBAKBo8jA+kP7aklQq89NV39fYdoT+Wjork1Ltqpe9j+bZ1DpnplJdlfpRdzgWxxgl8zwu53qizLMYFdeO9/OwYzHPUfKZNMs8R8W10yzzLFw7hzXLPEfFtdMs8yyOxRij3CkvFY3nwyrlhPv6djZ+AgCAE9OR3WspBQAAFMIYAAAKYQwAAIUwBgCAQhgDAEAhjAEAoBDGAABQCGMAACiEMQAAFMIYAAAKYQwAAIUwBgCAQhgDAEAhjAEAoBDGAABQCGMAACiEMQAAFMIYAAAKYQwAAIUwBgCAQhgDAEAhjAEAoBDGAABQCGMAACiEMQAAFMIYAAAKYQwAAIUwBgCAQhgDAEAhjAEAoBDGAABQCGMAACiEMQAAFMIYAACKJg/jA+mvLUmlMj9d9X2NbUfor6WzMinVrnrZ+2ieTa1zZirVVakfdYdjcYxRMs/jcq4nyjyLUXHteD8POxbzHCWfSbPMc1RcO80yz8K1c1izzHNUXDvNMs/iWIwxyp3yUtF4PqxSTrivb2fjJwAAODEd2b2WUgAAQCGMAQCgEMYAAFAIYwAAKIQxAAAUwhgAAAphDAAAhTAGAIBCGAMAQCGMAQCgEMYAAFAIYwAAKIQxAAAUwhgAAAphDAAAhTAGAIBCGAMAQCGMAQCgEMYAAFAIYwAAKIQxAAAUwhgAAAphDAAAhTAGAIBCGAMAQCGMAQCgEMYAAFAIYwAAKIQxAAAUwhgAAAphDAAAhTAGAIBCGAMAQCGMAQCgaPIwPpD+2pJUKvPTVd/X2HaE/lo6K5NS7aqXvY/m2dQ6Z6ZSXZX6UXc4FscYJfM8Lud6osyzGBXXjvfzsGMxz1HymTTLPEfFtdMs8yxcO4c1yzxHxbXTLPMsjsUYo9wpLxWN58Mq5YT7+nY2fgIAgBPTkd1rKQUAABTCGAAACmEMAACFMAYAgEIYAwBAIYwBAKAQxgAAUAhjAAAohDEAABTCGAAACmEMAACFMAYAgEIYAwBAIYwBAKAQxgAAUAhjAAAohDEAABTCGAAACmEMAACFMAYAgEIYAwBAIYwBAKAQxgAAUAhjAAAohDEAABTCGAAACmEMAADFKS8VjefDKpVJjWcAAHBi6+vb2Xh2lDAGAICTkaUUAABQCGMAACiEMQAAFMIYAAAKYQwAAEn+H0ujlSplZeilAAAAAElFTkSuQmCC"></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><span style="text-decoration:underline;">conjugate</span> «acid and base» ✔</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>amount of ammonia <math xmlns="http://www.w3.org/1998/Math/MathML"><mo>⟨</mo><mo>⟨</mo><mo>=</mo><mfrac><mrow><mi>P</mi><mo>.</mo><mi>V</mi></mrow><mrow><mi>R</mi><mo>.</mo><mi>T</mi></mrow></mfrac><mo>=</mo><mfrac><mrow><mn>100</mn><mo>.</mo><mn>0</mn><mo> </mo><mi>k</mi><mi>P</mi><mi>a</mi><mo>×</mo><mn>900</mn><mo>.</mo><mn>0</mn><mo> </mo><mi>d</mi><msup><mi>m</mi><mn>3</mn></msup></mrow><mrow><mn>8</mn><mo>.</mo><mn>31</mn><mo> </mo><mi>J</mi><mo> </mo><msup><mi>K</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mi>m</mi><mi>o</mi><msup><mi>l</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>×</mo><mn>300</mn><mo>.</mo><mn>0</mn><mo> </mo><mi>K</mi></mrow></mfrac><mo>⟩</mo><mo>⟩</mo><mo> </mo><mo>=</mo><mo> </mo><mn>36</mn><mo>.</mo><mn>1</mn><mo> </mo><mo>«</mo><mi>mol</mi><mo>»</mo></math> ✔</p>
<p>concentration <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⟨</mo><mo>⟨</mo><mo>=</mo><mfrac><mi>n</mi><mi>V</mi></mfrac><mo>=</mo><mfrac><mrow><mn>36</mn><mo>.</mo><mn>1</mn></mrow><mrow><mn>2</mn><mo>.</mo><mn>00</mn></mrow></mfrac><mo>⟩</mo><mo>⟩</mo><mo>=</mo><mn>18</mn><mo>.</mo><mn>1</mn><mo> </mo><mo>«</mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>»</mo></math> ✔</p>
<p> </p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>[</mo><msup><mi>OH</mi><mo>−</mo></msup><mo>]</mo><mo> </mo><mo>⟨</mo><mo>⟨</mo><mo>=</mo><mfrac><msub><mi mathvariant="normal">K</mi><mi mathvariant="normal">W</mi></msub><mfenced open="[" close="]"><msup><mi mathvariant="normal">H</mi><mo>+</mo></msup></mfenced></mfrac><mo>=</mo><mfrac><msup><mn>10</mn><mrow><mo>-</mo><mn>14</mn></mrow></msup><msup><mn>10</mn><mrow><mo>-</mo><mn>9</mn><mo>.</mo><mn>3</mn></mrow></msup></mfrac><mo>=</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>4</mn><mo>.</mo><mn>7</mn></mrow></msup><mo>⟩</mo><mo>⟩</mo><mo>=</mo><mn>2</mn><mo>.</mo><mn>0</mn><mo> </mo><mo>×</mo><mo> </mo><msup><mn>10</mn><mrow><mo>-</mo><mn>5</mn></mrow></msup><mo>⟨</mo><mo>⟨</mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>⟩</mo><mo>⟩</mo></math> ✔</p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math xmlns="http://www.w3.org/1998/Math/MathML"><msub><mi>K</mi><mi>b</mi></msub><mo>=</mo><mfrac><mrow><mfenced open="[" close="]"><mrow><mi>N</mi><msubsup><mi>H</mi><mn>4</mn><mo>+</mo></msubsup></mrow></mfenced><mfenced open="[" close="]"><mrow><mi>O</mi><msup><mi>H</mi><mo>-</mo></msup></mrow></mfenced></mrow><mfenced open="[" close="]"><mrow><mi>N</mi><msub><mi>H</mi><mn>3</mn></msub></mrow></mfenced></mfrac><mo>/</mo><mfrac><mrow><msup><mn>10</mn><mrow><mo>-</mo><mn>4</mn><mo>.</mo><mn>7</mn></mrow></msup><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>4</mn><mo>.</mo><mn>7</mn></mrow></msup></mrow><mfenced open="[" close="]"><mrow><mi>N</mi><msub><mi>H</mi><mn>3</mn></msub></mrow></mfenced></mfrac><mo>⟨</mo><mo>⟨</mo><mo>=</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>4</mn><mo>.</mo><mn>75</mn></mrow></msup><mo>⟩</mo><mo>⟩</mo></math> ✔</p>
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mfenced open="[" close="]"><msub><mi>NH</mi><mn>3</mn></msub></mfenced><mo>=</mo><mo>⟨</mo><mo>⟨</mo><mo>=</mo><mfrac><msup><mn>10</mn><mrow><mo>-</mo><mn>9</mn><mo>.</mo><mn>4</mn></mrow></msup><msup><mn>10</mn><mrow><mo>-</mo><mn>4</mn><mo>.</mo><mn>75</mn></mrow></msup></mfrac><mo>=</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>4</mn><mo>.</mo><mn>65</mn></mrow></msup><mo>⟩</mo><mo>⟩</mo><mo>=</mo><mn>2</mn><mo>.</mo><mn>24</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>5</mn></mrow></msup><mo>«</mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>»</mo></math> ✔</p>
<p> </p>
<p><em>Accept other methods of carrying out the calculation.</em></p>
<p><em>Award <strong>[2]</strong> for correct answer.</em></p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>equilibrium shifts to right/H<sup>+</sup> reacts with NH<sub>3</sub> ✔</p>
<p>«as large excess» ratio [NH<sub>3</sub>]:[NH<sub>4</sub><sup>+</sup>] «and hence pH» almost unchanged ✔</p>
<p> </p>
<p><em>Accept “strong acid/H<sup>+</sup> converted to a weak acid/NH<sub>4</sub><sup>+</sup> «and hence pH almost unchanged».</em></p>
<div class="question_part_label">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Lewis acid ✔</p>
<p>accepts «a lone» electron pair «from the hydroxide ion» ✔</p>
<p> </p>
<p><em>Do <strong>not</strong> accept electron acceptor without mention of electron pair.</em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em><strong>ALTERNATIVE 1</strong></em></p>
<p><em>Property</em>: variable oxidation state ✔</p>
<p><em>Comparison</em>: Mn compounds can exist in different valencies/oxidation states <em><strong>AND</strong> </em>Mg has a valency/oxidation state of +2 in all its compounds ✔</p>
<p><em><br>Accept valency.</em><br><em>Accept for second statement “Mg «always» has the same oxidation state”.</em></p>
<p> </p>
<p><em><strong>ALTERNATIVE 2</strong></em></p>
<p><em>Property</em>: coloured ions/compounds/complexes ✔</p>
<p><em>Comparison</em>: Mn ions/compounds/complexes coloured <em><strong>AND</strong> </em>Mg ions/compounds white/«as solids»/colourless «in aqueous solution» ✔</p>
<p><em><br>Accept Mn forms coloured ions/compounds/complexes and Mg does not.</em></p>
<p> </p>
<p><em><strong>ALTERNATIVE 3</strong></em></p>
<p><em>Property:</em> catalytic activity ✔</p>
<p><em>Comparison:</em> «many» Mn compounds act as catalysts <em><strong>AND</strong> </em>Mg compounds do not «generally» catalyse reactions ✔<br><br><em><br>For any property accept a correct specific example, for example manganate(VII) is purple.</em><br><em>Do <strong>not</strong> accept differences in atomic structure, such as partially filled d sub-levels, but award ECF for a correct discussion.</em></p>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Well done; However, instead of identifying the conjugate acid-base relationship, some simply identified these as Brønsted–Lowry base and acid.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Good performance. Some teachers suggested the question had an error in units, but this was not the case. The question had to be solved, first by using the data provided for application of gas law to determine the number of moles of gas. Next, given volume of solution, <em>V</em> = 2.00 dm<sup>3</sup>, determine its concentration.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Concentration of [OH<sup>˗</sup>] was asked for but some calculated [H<sub>3</sub>O<sup>+</sup>] instead. On the whole, question was done well.</p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Mediocre performance. Since a mark was given for the <em>K</em><sub>b</sub> expression, that mark could also be scored for the Henderson Hasselbalch (HH) equation, provided it is specific to the equilibrium reaction. Unfortunately, there was poor understanding of the application of the equation in most cases. Students should be strongly encouraged to use the HH equation only when a buffer is involved. Appropriate <em>K</em><sub>a</sub> or <em>K</em><sub>b</sub> expressions should be used when buffer solutions are not involved.</p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Mediocre performance. One mark was scored for suggesting equilibrium shifts to right or H<sup>+</sup> reacts with NH<sub>3</sub>. However, some made reference to ammonia being a strong base or no reference to the strong acid, H<sup>+</sup> being converted to a weak acid, NH<sub>4</sub><sup>+</sup>.</p>
<div class="question_part_label">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Mediocre performance; although some Mg<sup>2+</sup> was identified as a Lewis acid, the reasoning given was that it accepts an electron, rather than an electron pair or references were made to Bronsted-Lowry theory.</p>
<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>Ethanol and methanoic acid are important industrial products.</p>
</div>
<div class="specification">
<p>Ethanol is used as a fuel.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Write the chemical equation for the complete combustion of ethanol.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the change in enthalpy, Δ<em>H</em>, in kJ, when 56.00 g of ethanol is burned. Use section 13 in the data booklet.</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>Oxidation of ethanol with potassium dichromate, K<sub>2</sub>Cr<sub>2</sub>O<sub>7</sub>, can form two different organic products. Determine the names of the organic products and the methods used to isolate them.</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>Write the equation and name the organic product when ethanol reacts with methanoic acid.</p>
<p><img 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" width="667" height="189"></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 the titration curve of methanoic acid with sodium hydroxide, showing how you would determine methanoic acid p<em>K</em><sub>a</sub>.</p>
<p style="text-align:center;"><img src="data:image/png;base64,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"></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>Identify an indicator that could be used for the titration in 5(d)(i), using section 22 of the data booklet.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine the concentration of methanoic acid in a solution of pH = 4.12. Use section 21 of the data booklet.</p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Identify if aqueous solutions of the following salts are acidic, basic, or neutral.</p>
<p><img src="data:image/png;base64,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"></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>CH<sub>3</sub>CH<sub>2</sub>OH (l) + 3O<sub>2 </sub>(g) → 2CO<sub>2 </sub>(g) + 3H<sub>2</sub>O (g) ✓</p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«<em>n</em> = <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfrac><mrow><mn>56</mn><mo>.</mo><mn>00</mn><mo> </mo><mi mathvariant="normal">g</mi></mrow><mrow><mn>46</mn><mo>.</mo><mn>08</mn><mo> </mo><mi mathvariant="normal">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></mfrac></math> =» 1.215 «mol» ✓</p>
<p>«1.215mol × (−1367 kJ mol<sup>−1</sup>) =» −1661 «kJ» ✓</p>
<p> </p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<p><em>Award <strong>[1 max]</strong> for “«+»1661 «kJ»”.</em></p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>ethanal <em><strong>AND</strong> </em>distillation ✓</p>
<p>ethanoic acid <em><strong>AND</strong></em> reflux «followed by distillation» ✓</p>
<p><em><br>Award <strong>[1]</strong> for both products <strong>OR</strong> both methods.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Equation:</em><br>CH<sub>3</sub>CH<sub>2</sub>OH + HCOOH <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⇌</mo></math> HCOOCH<sub>2</sub>CH<sub>3</sub> + H<sub>2</sub>O ✓</p>
<p><em>Product name:</em><br>ethyl methanoate ✓</p>
<p><em><br>Accept equation without equilibrium arrows.</em></p>
<p><em>Accept equation with molecular formulas (C<sub>2</sub>H<sub>6</sub>O + CH<sub>2</sub>O<sub>2</sub> <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⇌</mo></math> C<sub>3</sub>H<sub>6</sub>O<sub>2</sub> + H<sub>2</sub>O) only if product name is correct.</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAgoAAAGYCAYAAAAjh8qAAAAgAElEQVR4Aey9D0gcWb73LYOEJjRBggQTktl180qQ0IQmSHCCz5DsjjdXBgkSJEjwDWbuZDc+QQYJEpogwQ1mru6MN68ECRIkOMEnj5kn2WwTJEiQIINvMGKy484rQURCE2RwxStJFgm/l+8pT1vddmu3XdVd3fUt0OquOn8/p7rqW7/zO+fkCTcSIAESIAESIAESiEMgL85xHiYBEiABEiABEiABoVDgRUACJEACJEACJBCXAIVCXDQ8QQIkQAIkQAIkQKHAa4AESIAESIAESCAuAQqFuGh4ggRIgARIgARIgEKB1wAJkAAJkAAJkEBcAhQKcdHwBAmQAAmQAAmQAIUCrwESIAESIAESIIG4BCgU4qLhCRIgARIgARIgAQoFXgMkQAIkQAIkQAJxCVAoxEXDEyRAAiRAAiRAAhQKvAZIgARIgARIgATiEqBQiIuGJ0iABEiABEiABCgUeA2QAAmQAAmQAAnEJUChEBcNT5AACZAACZAACVAo8BogARIgARIgARKIS4BCIS4aniABEiABEiABEqBQ4DVAAiRAAiRAAiQQlwCFQlw0PEECJEACJEACJEChwGuABEiABEiABEggLgEKhbhoeIIESIAESIAESIBCgdcACZAACZAACZBAXAIUCnHR8AQJkAAJkAAJkACFAq8BEiABEiABEiCBuAQoFOKi4QkSIAESIAESIAEKBV4DJEACJEACJEACcQlQKMRFwxMkQAIkQAIkQAIUCrwGSIAESIAESIAE4hKgUIiLhidIgARIgARIgAQoFHgNkAAJkAAJkAAJxCVAoRAXDU+QAAmQAAmQAAlQKPAaIAESIAESIAESiEuAQiEuGp4gARIgARIgARKgUOA1QAIkQAIkQAIkEJcAhUJcNDxBAiRAAiRAAiRAocBrgARIgARIgARIIC4BCoW4aHiCBEiABEiABEiAQoHXAAmQAAmQAAmQQFwCFApx0fAECZAACZAACZAAhQKvARIgARIgARIggbgEKBTiouEJEiABEiABEiABCgVeAyRAAiRAAq4iMP/+vcxMT8uToSHp7++XpcUlV9U/2cpSKCRLLM3hnz19Jmfr62UoOJzmnJkdCZAACTiPwPzigryenpbxsXEZHn4qweBD6e3tlb/c+Iu0trZJc0uzfN1wXmpra6W6qloqysvFf8gve/ftFa/HK9vyt0leXl74L9/jlb//fdJ5FXVQiSgUHNQYsYrS09ujLujO3s5Yp3mMBEiABLKawMJ/L8j79+8l9M+QhOYXZGpqRsbGRuX+/fvS1toq9bV14v/ML0X7isIPd/ODPuHP+Xmyu2C3eL1etS8sLpK6mhrp7O6W0FwoqxnaXXgKBbsJp5h+X2+fIRQ6KRRSRMnoJEACNhKYn1+QmdczMjo2qt7y797pl66uLmlvb5eW5hY5//V5OXumXmpqqqXqRJV60/eVlsqB0gNSvK9Ydu7cJTvy8xMSA7AKQDgcKC2VsjK/1JyskbNnG6SxsUmutbXKX27ckN6eXhn88Z4Eg0My8vSpshrMzc3Jr/PzsvSeXQ3JXAoUCsnQykDYsEWBQiED9JklCbibAB6oeNOfmZmRqakX8mL0hQz2D0hvd69caGhQb+SlvtKEHu4bvvl7jLf9ouK9ynqANGFFqK6pkpbmZvnhh16VL8rAt//0X5MUCulnnlSOtCgkhYuBSYAEEiAA5z048w0PPxHcY/DW3/TNN9LQ0KDezisrK6X8SJkc2F+i3vYLdxWq/v1Povr3Yz384Qvg8/nl86MVUtvQIF81nJUrV65IW2e3dN/slv6BAfnxx0EZejyk/AwmJyZVWWZnZuTXkPG2/+5f7xKoBYOkiwCFQrpIbzEfOOngx9hJi8IWCTIaCbiDQCj0VkZHnimz/82emxIItEpzU5PUnT4tePD7D/nUQ9/j8cS1AHg9+bKraI+gS6Ci4qhUV1erh/03F75RjoLX/rNdOQ4ODgzI3548kZHhEZmampI3c28EXQ/ccpMAhYLD25UWBYc3EItHAmkmgK4AOADOjL6Q7q4u8fv8cR/8sd748/LzxevxKIe+LyqPqZeQ4GCQD/o0t2M2ZUeh4PDWokXB4Q3E4pGADQQ+rHyQyYkJwZv7t50d0nyhWU6fOqW6A+D4F88q8OnevVJWVi6na08rx77W1qtyq7dHBgcfyvDTYXn5clzmZmZleZmmfRuaLWeTpFBweNNSKDi8gVg8EtgigeXlJWW2h5/Ad51dymmv5uRJ1T0QPdYf4//3fvqp6g7AqIFvLlyUtutt0n2zR0ZGRpSDH8QFNxKwgwCFgh1ULUyTXQ8WwmRSJOAAAiPDw1LXWKdM/zG7BlYnA8Lwv7q6czIyMqxGHixwSJ8DWs+dRaBQcHi706Lg8AZi8UggDgGY90dHn0l3d7dcvHhRzRK4t2hPhD+Bp6BIyvx+Nb8AnA97b9+S4aEhmZ2di5MqD5NA+glQKKSfeVI50qKQFC4GJoGME4D3P0YpFW4wuqCxEZaCkYyXlQUggUQIUCgkQimDYWhRyCB8Zk0CmxD4+PGjmgOg/+4d5XB47PPPIxwNYUGorKqSy5cCav6AZ8+e0pFwE6Y87TwCFArOa5OIEtGiEIGDX0gg4wTmf51X3QMYUXDw4MGIroQDpSXSUH9WTV08OT6R8bKyACRgBQEKBSso2pgGp3C2ES6TJoEkCGA6Y3QplJSURIgDOCRipUIsZsQ1BJIAyqBZQ4BCweFNRYuCwxuIxctpAnBIxHLGVwJXpPjT34QFAkYknD5VK7fv9HGiopy+Alg5EKBQcPh1QIuCwxuIxctpAlXHKsPiQA9l7O7oyuk6s3IkEE2AQiGaiMO+06LgsAZhcXKewMTEhJw9W68WQdLi4OSXX8rdgbsy//59ztefFSSBaAIUCtFEHPadox4c1iAsTk4SWFlZkR+DD9RcB/l5eWrkQlmZX77v+gvFQU62OCuVDAEKhWRoZSAsLQoZgM4sXUUA8x74P/OLNy8/3M0w0D/gKgasLAlsRIBCYSM6DjhHi4IDGoFFyFkCz0ZGxH/IWH2xYEeB1NbWyfMJDmvM2QZnxbZEgEJhS9jSF4kWhfSxZk7uIjAcDEpBQUHYijAyOuYuAKwtCSRIgEIhQVCZCkaLQqbIM99cJYC5DlouXwoLhD82XVCrL+ZqfVkvEkiVAIVCqgRtjk+hYDNgJu8qAs9GRqWwsFCJhOJ9xXLvxx9dVX9WlgS2QoBCYSvU0hiHXQ9phM2scpoARjZAHGDIo6+0VC3dnNMVZuVIwCICFAoWgbQrGVoU7CLLdN1EAN0NX3/1lRIJZWXl8mpq0k3VZ11JICUCFAop4bM/Mi0K9jNmDrlPoLe717AklPlyv7KsIQlYTIBCwWKgVidHi4LVRJme2wgEg0OSl58nn3jy5enwiNuqz/qSQMoEKBRSRmhvArQo2MuXqec2AUymdPCgsdrjzb9wjYbcbm3Wzi4CFAp2kbUoXS4KZRFIJuNKAo2N54wRDsXFXOXRlVcAK20FAQoFKyjamAYtCjbCZdI5TWDy+XMlEjwej7x8OZ7TdWXlSMBOAhQKdtK1IG1aFCyAyCRcSaCluUUJhdraWlfWn5UmAasIUChYRdKmdGhRsAksk815AscqjymhcLuvN+frygqSgJ0EKBTspGtB2hz1YAFEJuE6AsvL72Rb/jbxerwyOzvnuvqzwiRgJQEKBStp2pAWLQo2QGWSOU9gfGw87MSY85VlBUnAZgIUCjYDTjV5WhRSJcj4biTQ8V2HEgptra1urD7rTAKWEqBQsBSn9YnRomA9U6aY+wQaG5uUUAj9M5T7lWUNScBmAhQKNgNONXlaFFIlyPhuJPDlyROya+cuN1addSYBywlQKFiO1NoEKRSs5cnUcp8AFoA6UFIqVSdO5H5lWUMSSAMBCoU0QE4lC3Y9pEKPcd1IYGpqRor2FUlDQ4Mbq886k4DlBCgULEdqbYK0KFjLk6nlPoHR4RE1NLLtWlvuV5Y1JIE0EKBQSAPkVLKgRSEVeozrRgJ6SemBgQE3Vp91JgHLCVAoWI7U2gRpUbCWJ1PLfQLVNTVqxMPwk6e5X1nWkATSQIBCIQ2QU8mCFoVU6DGu2wh8/PhRzcaYl5fHGRnd1visr20EKBRsQ2tNwlwUyhqOTMUdBGamp5U1AUJhaWXFHZVmLUnAZgIUCjYDTjV5WhRSJcj4biIw9PixEgq/2/9bN1WbdSUBWwlQKNiKN/XE6aOQOkOm4B4C7d92KqFQW3PKPZVmTUnAZgIUCjYDTjV5WhRSJcj4biLQ9PV5JRRaucaDm5qddbWZAIWCzYBTTZ4WhVQJMr6bCNSdqVNC4cbNbjdVm3UlAVsJUCjYijf1xGlRSJ0hU3APgcrKSiUUBjmHgnsanTW1nQCFgu2IU8uAFoXU+DG2ewh8+PBR/Id8Sij8NPrMPRVnTUnAZgIUCjYDTjV5CoVUCTK+WwhgMajCXYXi9RQIhklyIwESsIYAhYI1HG1LhV0PtqFlwjlGYH5+QU22VFxcLPjMjQRIwBoCFArWcLQtFVoUbEPLhHOMwOvpGdXt4PP75N2HdzlWO1aHBDJHgEIhc+wTypkWhYQwMRAJyOj4qBIKxz87ThokQAIWEqBQsBCmHUnRomAHVaaZiwTuDvQroRAItORi9VgnEsgYAQqFjKFPLGNaFBLjxFAkcK3tmhIKw0PDhEECJGAhAQoFC2HakRQXhbKDKtPMRQLnG4xZGUP/DOVi9VgnEsgYAQqFjKFPLGNaFBLjxFAkUHOyRrw7vARBAiRgMQEKBYuBWp0cLQpWE2V6uUqgrMwvvtLSXK0e60UCGSNAoZAx9IllTItCYpwYigT27tsrJ6qrCIIESMBiAhQKFgO1OjmOerCaKNPLRQIzc3NSUFAgFy9ezMXqsU4kkFECFAoZxb955rQobM6IIUjgxegLNStj2/U2wiABErCYAIWCxUCtTo4WBauJMr1cJBB8+FC25W+T7m4uL52L7cs6ZZYAhUJm+W+aOy0KmyJiABKQ3u5eNYdCX18vaZAACVhMgELBYqBWJ0eLgtVEmV4uEmhpbVRC4cnQUC5Wj3UigYwSoFDIKP7NM6dQ2JwRQ7ibwIcPH6WmuloJhefjz90Ng7UnARsIUCjYANXKJNn1YCVNppWLBJbeLwmWlvZ6vDIzPZ2LVWSdSCCjBCgUMop/88xpUdicEUO4m8CHlQ9KJHg8XgmF3robBmtPAjYQoFCwAaqVSdKiYCVNppWLBObnF1S3Q36BR5aWFnKxiqwTCWSUAIVCRvFvnjktCpszYgh3ExgfH1dCYVfRLneDYO1JwCYCFAo2gbUqWVoUrCLJdHKVwODgPSUUyg6X5WoVWS8SyCgBCoWM4t88cy4KtTkjhnA3Af0bqa6qdjcI1p4EbCJAoWATWKuSpUXBKpJMJ1cJtLa2KotCQ/3ZXK0i60UCGSVAoZBR/Jtnrt+WOjs7Nw/MECTgQgLnG84rodDc0uzC2rPKJGA/AQoF+xmnlAMtCinhY2QXEDhz5owSCu3t7S6oLatIAuknQKGQfuZJ5chRD0nhYmAXEjj2+edKKNzp73dh7VllErCfAIWC/YxTyoEWhZTwMbILCJSV+ZVQCAYfuqC2rCIJpJ8AhUL6mSeVIy0KSeFiYJcRUNM37ytWQmFyYtJltWd1SSA9BCgU0sN5y7nQorBldIzoAgKh0Hsp2lekhEJoLuSCGrOKJJB+AhQK6WeeVI60KCSFi4FdRmBqakYKCwvVWg/z8/Muqz2rSwLpIUChkB7OW86FQmHL6BjRBQRejL4Qr9cjpb69Mr+45IIas4okkH4CFArpZ55Ujux6SAoXA7uMwP3791W3w/HPjgv8FbiRAAlYT4BCwXqmlqZIi4KlOJlYjhHo7e9VQqGmulo+fvyYY7VjdUjAGQQoFJzRDnFLQYtCXDQ8QQLy58CflVBobDxHGiRAAjYRoFCwCaxVydKiYBVJppOLBBrq65RQaGtry8XqsU4k4AgCFAqOaIb4haBFIT4bniEBn9+nhEL/4APCIAESsIkAhYJNYK1KlotCWUWS6eQigby8PCUURkdHc7F6rBMJOIIAhYIjmiF+IWhRiM+GZ9xNYHn5nRIJ2/K3yfT0jLthsPYkYCMBCgUb4VqRNH0UrKDINHKRwOvXr8NCIRfrxzqRgFMIUCg4pSXilIMWhThgeNj1BNDdgK6H4n3FrmdBACRgJwEKBTvpWpA2LQoWQGQSOUng3sCAEgr+Q4dysn6sFAk4hQCFglNaIk45aFGIA4aHXU9AO/pWVla6ngUBkICdBCgU7KRrQdq0KFgAkUnkJIHW1lZlUWioP5uT9WOlSMApBCgUnNISccpBoRAHDA+7nkBjY6MSCpevXHE9CwIgATsJUCjYSdeCtNn1YAFEJpGTBOrrVmdl7GrPyfqxUiTgFAIUCk5piTjloEUhDhgedj2B2ppTyqJwq+eW61kQAAnYSYBCwU66FqRNi4IFEJlEThKAEyOGRw4ODORk/VgpEnAKAQoFp7REnHLQohAHDA+7nkBZmV8JheHhJ65nQQAkYCcBCgU76VqQNi0KFkBkEjlH4N3KBzmwv0QJhfGJiZyrHytEAk4iQKHgpNaIURY9VryzszPGWR4iAXcSWHq/JEX7ipVQmJmedicE1poE0kSAQiFNoLeaDS0KWyXHeLlMYGlpWQoLC2V3wW55M/cml6vKupFAxglQKGS8CTYuAC0KG/PhWXcSCM2FxOvxSmlpqczPL7gTAmtNAmkiQKGQJtBbzYYWha2SY7xcJhAKvZW8T/Kk1FcqC0uLuVxV1o0EMk6AQiHjTbBxATjqYWM+POtOApOvJpR/QnVllXxY+eBOCKw1CaSJAIVCmkBvNRtaFLZKjvFymYBeYrqupiaXq8m6kYAjCFAoOKIZ4heCFoX4bHjGvQQwyRImW2pta3YvBNacBNJEgEIhTaC3mg0tClslx3i5TKC7p0cJhd7u3lyuJutGAo4gQKHgiGaIXwhaFOKz4Rn3Emhvb1dCYXho2L0QWHMSSBMBCoU0gd5qNhQKWyXHeLlM4OLFi0oozM+HcrmarBsJOIIAhYIjmiF+Idj1EJ8Nz7iXgF5i2r0EWHMSSB8BCoX0sd5STrQobAkbI+U4gT988QfZu29vjteS1SMBZxCgUHBGO8QtBS0KcdHwhIsJ+EpLpaK83MUEWHUSSB8BCoX0sd5STrQobAkbI+U4gaJdRVJdczLHa8nqkYAzCFAoOKMd4paCFoW4aHjCpQRm5uZkh7dALly84FICrDYJpJcAhUJ6eSedGxeFShoZI+Q4gampF2pBqEAgkOM1ZfVIwBkEKBSc0Q5xS0GLQlw0POFSAg/vD8i2bduk+2a3Swmw2iSQXgIUCunlnXRutCgkjYwRcpxAZ3e3mkMB0zhzIwESsJ8AhYL9jFPKgRaFlPAxco4R+CgigUCLEgqPgsEcqx2rQwLOJECh4Mx2CZeKox7CKPiBBGTp3YpgaWksCDX0+DGJkAAJpIEAhUIaIKeSBS0KqdBj3FwjsLKyIqWlpcqZcWpqKteqx/qQgCMJUCg4slnWCkWLwhoLfiKBheUl8XryZYd3h8zPzxMICZBAGghQKKQBcipZ0KKQCj3GzTUCsCKg26GwsFBgXeBGAiRgPwEKBfsZp5QDLQop4WPkHCMAvwQIhQOlJTlWM1aHBJxLgELBuW2jSkah4PAGYvHSSqDjuw4lFDwej4w8fZbWvJkZCbiVAIWCw1ueXQ8ObyAWL20E3r9/L83NASUUYFV4+PB+2vJmRiTgZgIUCg5vfVoUHN5ALF5aCdTWnAoLhSDnUUgre2bmXgIUCg5ve1oUHN5ALF5aCRwsLQ0LhUePHqU1b2ZGAm4lQKHg8JbnFM4ObyAWL20EQv8MSdG+orBQCAaH0pY3MyIBNxOgUHB469Oi4PAGYvHSRmBsdEzNn1BQUKDEArse0oaeGbmcAIWCwy8AWhQc3kAsXtoIDAeDkpefJ8c/O65mZqQzY9rQMyOXE6BQcPgFQIuCwxuIxUsbAb0Y1IWGBtle4JXHj7koVNrgMyNXE6BQcHjzc9SDwxuIxUsbAb/Pr7oc+vv7pbrqSxkd/SlteTMjEnAzAQoFh7c+LQoObyAWL20EMHeC1+OVqamZtOXJjEiABEQoFBx+FdCi4PAGYvHSQmB8ckJZE3bu3CFLXOMhLcyZCQloAhQKmoRD97QoOLRhWKy0EtBOvRXl5WnNl5mRAAnQouD4a4AWBcc3EQuYBgLNzZeUReGr81+lITdmQQIkYCZAi4KZhgM/Uyg4sFFYpLQT+PLLKiUUbt64qfKGZeHpyHDay8EMScCNBCgUHN7q7HpweAOxeGkh4Fudunl4bFTlh0mXODNjWtAzExKgM6PTrwFaFJzeQiyf3QQWFhelcFeRePLyZOa1MeIBQmGI8yjYjZ7pk4AiQIuCwy8EWhQc3kAsnu0EQnMh8XrypbS0VObnF1R+EAoPgw9tz5sZkAAJ0JnR8dcALQqObyIW0GYCz549Vf4J1ZVV8uHjR5Wb0fXAmRltRs/kSUARoEXB4RcCLQoObyAWz3YCN27cUEKhv68vnBeFQhgFP5CA7QQoFGxHnFoGevx4Z2dnagkxNglkKYHzDeeVUDDPyGgIBS4znaVNymJnGQEKBYc3GC0KDm8gFs92Aof8h6T4099E5EOLQgQOfiEBWwlQKNiKN/XEaVFInSFTyG4CWN+htrY2ohKGUKAzYwQUfiEBmwhQKNgE1qpkaVGwiiTTyUYCw0PDkpefJ1fbrkYU/29/Dcr8/HzEMX4hARKwhwCFgj1cLUuVox4sQ8mEsowARjhcaGhQ/gnDw0+yrPQsLgnkDoGcEQrDwaDU1dbJRk5/S++XpLGxWRrq6yQUer9pK74YfSGb/YX+Gdo0nVQC0KKQCj3GzWYCS0sLau4ELC89Mz2dzVVh2UkgqwnkjFCAQMAN5fhnx+M2CGZ421e0T4Vb+G9j4pZ4gV+Ov1DhkOZGf329vfGSsOQ4LQqWYGQiWUhgZmZG4J+wY+cuWVxYzMIasMgkkBsEXCUUYFEoLi5WD/737ze2KGAoVvln5erP/5lf7SFCcKzUV6rSwE0MFgc7N1oU7KTLtJ1MIBh8qH5nWOchequtqZGhsZHow/xOAiRgA4GcEwqVxyvjYlpaTtyiEC+RDx/eSeWJE+oG1t19I14wy47TomAZSiaUZQSuXGlVv7PaU5EjHlANDo/MssZkcbOagGOFwvT0L9Le3i6Y531s9CdpbmmW+jP10nK5VfCmsbz8LgJ8W5e1XQ8RiZu+3Pj+e9mWv02+7+gwHbXvI4WCfWyZsrMJVHxeoYQCZmaM3iAUHj16FH2Y30mABGwg4FihoE3u9+/fV28P0X4CgUBrBI4/dzerm0pVVVXEcfMXLCijux624oSIOLhBVVbGt1qY87Pis+awkZOmFfkwDRJwEgH81goLC9Vv+uXL8XVFMywKnJlxHRgeIAEbCDhWKNy9069uEhhDXfXllzI+ZtwsBgbuqod1wY4CGRpeu1Fcb7uuwvtKfHL3Xr8M9K//u3O7T7xerwq3mTNjNGtYMDDpS17eJ/I4mL7FaGhRiG4JfncDgZGRUdmeny9F+4pk6V//Wldldj2sQ8IDJGAbAccKhf6BAUMo5OXJ1NRUBAC8bcDCsLtgt8BBEZse9RBteYj3fTNnxogMRVQZkFbxvuJwntFh7PhOi4IdVJmmkwmsrKxIoNvoSqyrqRF8j94MocCZGaO58DsJ2EHAsUJBWxTKK4/FrPdh/2E1Y9urV6/UeS0U8AZyuSUgl1oC0tLcIpdbWqQ50Grsm79Rw63wwE/WotD0TZMSJ42NjTHLY9dBWhTsIst0nUrg48eP4vf51e8N13+sDUKBPgqxyPAYCVhPwPFCARMpxdpqTtaoG8nwkNH9oLseNpxHYXkp4XkUzHnCt8Hj8SiRke5pY2lRMLcEP7uBwOT4hPpt79y5U/Dbi7VBKAw9jn1viBWex0iABLZOwLFCQT8g481TUFNTHSEUtEVhc2dGj4qXjDOjTrux8VxCpKemXggmYsJfb7ex/+EHY28+hs/6uA6HY3Dg7O/rV3HPnzeW2EUZuJGAGwh0thvdDhs5DRtdD2s+Sm7gwjqSQKYIOFYo3Fl1Zgy0BmKyKTtyRD3wJycn1Xm7hkcuLb+TivJyZVHAAjWJbN3dPbK9wCvbvTuloCA/Yr/D6xFPQZFg7y3YoawU5j3iFHo84vFuV06bGIqJrhIKhUTIM0wuEDhVc0pd84HLsX/7qOPg4D0JvbF3+vRcYMk6kIAVBBwrFAZXnRl353nWOQ/CGoBZEWM5M27U9ZDMzIwa7vx8SOUD34dErRBwlJyZmxNMQYs42GOmR/U9NG981udDOD4vIbU3wiBsaDVcR3cHhYJuDO5zngB+o/itQRzrbsWcrzQrSAIOJ+BYoaAtCrhhtLddC4uFsefjUlbml+3bt0cMj9TdAxvNzIi1HoqLjbHZiTozjv30k7pplR85kpGmpDNjRrAz0wwRGB8bUxOaYb4T/F65kQAJZJ6AY4WCHvVQX18nRUV7lAUBQxO9Ho964xi892MEPS0UNrIoLCwsJ+3M2H/XmM+h7vTpiPzS9UX7arDrIV3EmU8mCZypPyPb8j+RoeDG3XywPHxY+ZDJojJvEnANAccKBf2AHB0dlenpaQk0N0tNTY309/XFbBw4PcIJEOHjbRiPjVEUCJfoPApY3hbhx16MxUvW1uM9vT3serCVMBN3CgH8hvM9XjleVb5pkaorq8KTsG0amAFIgARSIuBYoaC7HjZ68KdU8yyJrAUTLQpZ0mAs5pYILC0uSXVNpRLFA3cHNk0Dox7++ijSqrhpJAYgARLYEgHHCgXd9TAyvLEJcku1zqJI9FHIosZiUbdM4Nv2b5VIOFBSsm7Bt1iJGsMjOY9CLKne4wUAACAASURBVDY8RgJWE3CsUNBTONOi0MeuB6uveqbnKAIYGaRHOrS2Ri72Fq+ghlDgFM7x+PA4CVhJwLFCYWJ8QnDTmJubs7K+WZcWLQpZ12QscBIElpaWpfoLY/I0X5lP0AWRyEaLQiKUGIYErCHgWKFgTfWyPxX6KGR/G7IG8Qm0XW9XFjPMi4L5QxLdDKHAmRkT5cVwJJAKAQqFVOilIS4tCmmAzCwyQgAzK+7ZY0yudDXBLgddUFoUNAnuScB+AhQK9jNOKQcKhZTwMbJDCYTmQnK0vFxNroQuxuXld0mVlEIhKVwMTAIpEaBQSAmf/ZHZ9WA/Y+aQXgJLSwvi/+y46nKoqa3eUuYQCg8f3t9SXEYiARJIjgCFQnK80h6aFoW0I2eGNhH4+PGjLC2tSM1pY4l4dDvMzr3ZUm5YYjrdS75vqaCMRAI5QIBCweGNSIuCwxuIxUuYwPz8gmCKdazfgr++3v6E4zIgCZBA5ghQKGSOfUI506KQECYGcjiBxYVFqaurVwJhV2Gh9PX1OrzELB4JkIAmQKGgSTh0T4uCQxuGxUqYwNTUlBw9elSJhIrycnk+MZFwXAYkARLIPAEKhcy3wYYl4KJQG+LhSYcTGBoeCnc1VFSUC2ZhtGKrramRkZERK5JiGiRAApsQoFDYBFCmT9OikOkWYP5bJYAl2gt2FCihcKT8iKXOh96CQoFDIzcSIAH7CVAo2M84pRxoUUgJHyNngADmSGhsPBe2JNTV1KjRDlYWxZhHgWs9WMmUaZFAPAIUCvHIOOQ4LQoOaQgWY1MCWKchGHwoR8rKlEjYvn273Oy+KSsrK5vGTTYAJ1xKlhjDk8DWCVAobJ1dWmJy1ENaMDOTFAkM3huUgwcPKoHg3eGVxsYmeTX5KsVU40enUIjPhmdIwGoCFApWE7U4PVoULAbK5CwlMPlyPGJuhIJivzx4OGhpHrESY9dDLCo8RgL2EKBQsIerZanSomAZSiZkEQHMsDjy7JnU19VJ0S5jUSd0M3zX0SnwT0jHRotCOigzDxIwCFAoOPxKoEXB4Q3ksuJhKejmpqawoyJmWMS6DS9fvkwrCUMocJnptEJnZq4lQKHg8KanRcHhDZTjxfuw8kF+/fVXGRwYkFM1p6SwsFDyPskT+CHU1FTLo0ePZOn9UtopQCg8Dj5Ke77MkATcSIBCweGtTqHg8AbK0eLNzs5Kd3e31J6qDc+FsC1/m2BmxZ6em/LmzduM1vzx46C8eZOebo6MVpSZk4ADCFAoOKARNioCux42osNzVhKAZWB4aFgw74FeuAl7r8cr/s/88nB42MrsmBYJkECWEKBQcHhD0aLg8AbK8uLB+fB2b69yTDzsPywejycsEnxlPmltbZVXr15lpHshy9Gy+CSQMwQoFBzelLQoOLyBsqx4sBrAIbG/r0/K/cbESGbrQVFxkbIocB2FLGtYFpcEbCRAoWAjXCuSpkXBCoruSwNOiO/+9U7m5xdk7Kef5MqVVqmtrZVDB30CR0A4JOpuBZ/PJ83NTTIwMCBvQ/NZAQu/i7m5uawoKwtJAtlOgELB4S1Ii4LDG8gBxVv49VcZefpUsC5I4HJA6urPyRfHfi+f7t0b7kbQVgN0L5xvOC+dXTeUgICQyMYNYuevj37MxqKzzCSQdQQoFBzeZFwUyuENlKbiocsASzSj2+DF6Avp7e4VLLW8u2D3OjGgRQH2xcXF4vf55f7A/TSVND3ZGPMocFGo9NBmLm4nQKHg8CuAFgWHN5AFxYMImP7lFxkdHRW0919u3JDWlhb50x8bpbq6WiorK8V/yCfF+4pl565C2Zb/yTpxsLdojxq6ePHiRWnr7JQf7w3K5MSkminxw8ePFpTSWUkYQoHLTDurVViaXCVAoeDwlqVFweENZCqefusPhebl5fiUTE29kJHhYRkOBuX+0JB0dbZLZ2en1NXVqoc63vbNb/+JfIYFodRXqtZXuND0tfzwQ69MT0+bSuGOj4ZQ4MyM7mht1jLTBCgUMt0Cm+SvnRkx0U1jY6Nale9PX58X/DU1nJeJiYl1Kbx6NaH6odEXjXDmPT7/+PDBujhv34akqbl5XdjGRiN+3+2+dXHgMNd5vSuchzkfne/U9PoVBB8MDqh8dNo6LOLj2PCT9eP1P3x4l3SdUOBAoDWiTua8bnTdWFcnHDDXSZdR1w3xsTJi/Zl65Rx44vcnpPxImZSUlsqB/SXqrX/vvr2yc+dONYuhx+NV8xAkIgIQD+0MKwLya73aKt03e9SsiPBBmJqakjdzb2RhcTFmud10kBYFN7U265ppAhQKmW6BOPnjIdzX1yv79+9Xb51lZX75quEraWhoUHv9OZZQmJh4pR40Omz0/uGj9UJh/td5ab7QHE4/Os7tvjvrSooy9nT3qDh4sEXHwfepV7+sixccDkpD/dmI8Do+9sPDT9bFQV66ztF7xHn4Y+wVCzEPAMLHivNf338v8+/fy/jYmHIEbGk26q+mKc4zRgXEe8BjlkI8rH63/7eCtkH3QHVVtZqPAHm1NLdIU6BF2juvSUdXt9zq7ZX+O3clGHyo6vd8/LnMTE+rBz8sEdySI0ChkBwvhiaBVAhQKKRCz8a4bdfbI8zSMFlzS50AHsozMzPKGbC8ojyC8TpRkJ+nnAX3Fv1WzS3QHGhRFgN0GXDLLAFDKNCZMbOtwNzdQoBCwWEtjbHhjQ3n1Qx5MENfam5WDzMKha011NLKiho62By4rEz6mEfAPPsgxAEWOKo6cUJ1KbR/1y4PH96X4ZGnysFwaWlBlldWwpnDcgAfAW6ZJQChgAWpuJEACdhPgELBfsYJ54C33eMVx5UwqKupU/HozJgwvnDAmbk5NYLgXN25mBaDfUX71NoFgeYWNdQwHDGBDxAKxz87nkBIBrGTwBeVVTI+Nm5nFkybBEhglQCFgkMuBUx8c6a+Tr3tdna2yvyqw1pvbx8tCgm00T9+fiWdXV1qtcPffvpphEAo2FEgX53/Srp7emR45InyC0ggyZhB4EzIGQFjouFBEiCBHCVAoZDhhl1ZWZFbPbelaF+Rclwce/5TRIk4j0IEjvAXPKz7+u/I6dO1UrRvbZghuhWqq6qktbVNBu8NKofBcCR+IAESIAESSJoAhULSyKyLAJGAGfbQT47x8bFMqex6WOMNT4FQaEbOnz8fYTFQfgYerzQ2nlNrG6zF4CcSIAESIIFUCVAopEpwi/ExL8CZ+nr1wKv+8qQaIx8rKVoURD38e2/1yrHPPxdPQVFYJJT6SuTatevKHwHrHXBzD4Gemz3yeua1eyrMmpJABglQKGQAfuj9e2lsblIPvLqaGoFnfbzNzRYFrGvQ1toWFgZ6+GJZWVnSTojx+PJ4dhLAqIfhIc7MmJ2tx1JnGwEKhTS32Mzr12pGv+35+dL1badsNtmOnpnRTcMjn489l7ozZ9ScBXo55NIDpXLzv27Iy5fjsrz8Ls2ttpbdje5uNXPj2hF+ygQBTriUCerM060EKBTS2PJPhp7Knj1Fyvlu8N5AQjm7pesB/hmBwBU1yyEsB5j5EPNIXGu7psSBUxY2QvdHSUlJQm3HQPYRoFCwjy1TJoFoAhQK0URs+o6lgb2efDX/fzJZ5HrXAyZEOle/fr6D0fHRZDClLSzmUeDMjGnDHTcjQyhwZsa4gHiCBCwkQKFgIcxYSWFkQ3t7u+QXeKTkQKmg6yGZLVctCjOzc9LR1S5HDh8J+yB8ceyYdHd3y+zcm2QQpTUsLAqcmTGtyGNmRotCTCw8SAK2EKBQsAWrkShWQcSCQZgiuOlCkywtJr/4Ty75KGBhpydPhtTCSXoa5V2FhRK4cllCcyEbW8K6pCkUrGOZSkoQCpzCORWCjEsCiROgUEicVVIhMSEQbmbob8cqkFvdcqnr4Xrr9Ygll6uqqrJu3gP4TZSWcq2HrV7PVsXDb4ujHqyiyXRIYGMCFAob80n6LN6acQPz+/3iK/XJg2BQPnz4mHQ6OkK2dz1ghMLt3tvKMRGiCdMpn6uvk789fqyrmFX7Pxz7A7seHNBiyqIQDDqgJPYXAfeU0dFRefDgoSQyXwiWL0dYxEHcRLdXk6/UMuj/mE2uezTR9NMVDt27qP/U1NSmWYbehFSd//ZXd1xLmwKJE4BCIQ6YrR4OBh8qKwJ8EvCDTXXLdotC8+rqlxAJXo9XjWBIlUkm49OZMZP01/L+oqpKPQjXjuT2p8Dq7wgvDpttWLQMv7e6unObBY04Hwi0qnjt7V0Rx7PtC17UUH9w2Gz4edt1Y54W/K65xSdAoRCfTVJnFhcWpbW1Vb0x+0pLJRi05o05Gy0KmEDq5o0b4vP51Q92155d0hxoFSzclO3br78uZF13SbYzZ/lFvXTA1+lM/dkNccAqkJefJ9u3b5eZmZkNw0afvNwSUL/XjhvfRp/Kqu+/Liyq+zCsThsxgJ33VPVJVeeb3d1ZVcd0F5ZCwQLi0zMz4j/kU2/MgSsBC1JcSyKbnBnRzdDx7bdh3wz8UP948Y9bcuJcI8BPJEACINB0sUnNL7KRpbLxYqN68LVcupQ0tEDAEArfd91IOq7TItTW1ioO/8+N+HWZ/3VerdZbWFQos6HscKbOFGcKhRTJh/4ZElgQYFa/f/9+iqmtj55NXQ/1dTXqxwmzH0Z7YApmbiRAAtYQ0N2a6IbAAmnRG8zs+N3h9xft6In7VHAwKJ3d3TIyEnuOkpbmFhW3o8uat+vJl+Nq0buh4HB0UaW/v1+VB9PZb7ShrFg4D/4WmHMl0U3fNzfqUtBhGhubE03WteEoFFJo+gcPH6hphjHE77FNznlO73rAzelu/4ASS7hBlZSWSmtbe0JOVymgZ1SXExgYGJA3IefOt2FH87x9G5IdO3eqmUHfhubXZTH3Zla9IZeU+MK/Pzg//s+LTepFBrOdwncqPy9Pjh09KkE4WpucHcMWhRt/CaeNlyD8rmM5Bh7YX6LOTf/yiwo/Mjysvl+61CI1NTXK+oG4+KutOa267FqvXlVl0ceL9hXJ/+7/3+H88AH3lK6OLsE5hNvh3aH2xSV7pe16e0IWStQbFk2PJ19+/jn2C8vJkycF9+75+fhr7UQUzMVfKBS22Pg//NAbvuAfBu2bIU6rXieu9YAfNBa10j/6wqKirJkPYYvNzmgOIYCHwMD9foeUJn3FwPBc/N6iLQYoASYrw7nO3s5wgVpa/2w8ZIs9Mjb2Ut6/fy8DD+Fwna+OP3g4GA4by5lxI6GAc56C3WGnbcw+i/xhXd1dsFtgSYBVUZfZ/5lfvHn58ufuZnW8uqpahUc6sHjoTTtuIq0HgwMS+u8FtQhc8b5iFb75QmIWAFhPkAaWnzdvmAQvFHqvhMj5hvPmU/wchwCFQhww8Q6/e7ciLZcvqQvw8JEy2z2vnWpRGH/5XPyHDisOGPKICaVeJznrZDzGTj5+47+6pe16q5OL6IqyQSjgjdht27W2dvWb+1Nj47qq/9sXX0jJb/eHPf1n5ubk0717BcvYQ9Sbt2+//ValU1NdEz6snRm/N1sUDvpUOG01CAcWUfOJwHFS+0ygewAP5iPlRyJWxB396Zk6jnO9t2+Hk5idnVMP6507dwrKim3sp1ElNA75Dq176fjH9LSy4O79dK/8msCy8tMzc7Jz5y757b5igTXGvHV3daky9d+9Yz7Mz3EIUCjEARN9+OPHj4JJlE7VnlYetTCBpTI/QnT68b47zZnx9eyMnP/6vDIrwgsbTkOzb7J73HU89rGOY2ZGrvUQi0x6j7lVKCwsLBoP112FEQ9S9OVjttNvO9dGLOiH4fDwk3WN8+HDu7BpXz/o17oe1nwUfIcObiwU8vLltX7Ij46psBj9Zd5g2odIQJuZN4gXDGH0eLfLy/EX6lTzN80q7F9u3FDiBmGWlhdlaWlFfe/t71Xnh4fW18mctv585uxZFb7v9tqwUsydgPJAoGxltlydtpv2FAoJtjb66GBOwwUWHFkz1yUYfcvBnNT1ANOiNv+Bg9lsueUKZllEmFFhQuWWWQKGUBjKbCEylLs2zaP7U2+6CxCrsOpNH4vlX4AwmGcBv2OdTiCgnRnbdRJh36OpVTEQPiGi/JEK8tZbFKLnepifNx7M0QJbC4VCjyfs+Ky7I7BCK2ZAxZ/P7wt/xneUGffFRLaB/n4Vvr6uLhy8rbNz3bHwSX6ISYBCISaWtYMY8vfw4X3Zf2C/UsQ3btwQWBfStTmh6wEOT103uo1hj5/kqZtHf5/7+ofR5pyZMV1X/sb5uNWiACqTU1PqbbjcXyZLy+/k9cxryfd4pfjT3wjuV3qDQ2Fe3ifhrgF9XO+bm4yhlH29huAIWxRMwyN9m3Q95Hu94fR118N6oWBYFPDAN29L/3oXtihoMVNZVake4gcPlirfhs+PVqg9BLr5b/DHH81Jxf2sLSfoglheNrpf/u3Lf1N5/DiYWBpxE3fRCQqFTRpbOwgVFhYqh5pNglt+2gkWBaxVARWPPww3MjseWV5hhyfImRmd0UCGULDPidgZtYxfClyH+D3CggBTPz43NjZFRNCWB7OVwRzAvzqD4/Cqr4d2Zuzo7ggH28yZEfnqrgvtzBhPKMSzKMD5EXGx1TY0qLoMDgyEy5DqBziCa1ah0IzgXu4pLojoukk1j1yPT6GwQQv33elXw2vKysrl2U/PNghp36lMWhQw3Aoexuj7RH8exlknMte8fTQynzJ8FGAW5ZZZAm62KIB8980b6uF3JXBFjlUeU5+fRPXb9/f1KV+i/oH11j849+HhiRkc51fnMriyOjOjecIlbVEYH1/r0kD+8DvweLxqFkjto7CZRSF6eXbd9QAfhelxY12GK1cM0dN08WLMCwzdnd80XZLZ2dmY52MdxMq0uH/hpa+j3RANgeaWWEHV/e1WT68ahjl4f3CdE2jMSC44SKEQo5En/z4hxyuOqwfkDZMZLkZQ2w9lwpkR5kso+j17jHHMpaUHBQutcBPhMtPOuAogFNy8zDSmKYa/0J49e9TDvrqmKqLbAa0EAYARCPv371fDKRcWF1XjYUZCjISAULhkmsFRdz103Pg+3Mi1p4wZDltaWtQbONIYGXlq+Cp9kice06iHsVVnxmiLwsLCvMprI6Ggux4wNwbqBUdpTPykRytAVDx48FfV/blrV2FCox7ClVCzWl6UI2VlStiokSExJm+CoDhcViYQX7Dk1p46pcryZs5d83WYuenPFAqaxOoeJjBMGoQfUaDF2umYo7JK6Gsmuh5aWgzPYzCA4x5+QNwMArV1dWruCPLILIGOtvawyTuzJclc7rprAb9T3X0QXRq85cO0jzBlZWXq2oVFDN/hGGj+beuZGTFaQm+66xXh0XVQ/lm5Sg+Oknigm+dR2NSiELU8u7YooHxTU0bXA/LFPRgTQyHPkn0lUl1ZpXwZ8B1/GHGW7BYMGgtFIX5r2/WY0TH/hHleBZQPDuyDwfQ5r8csmAMOZp1QaL3Sqob1tLddW4dveWVFcEGUHTksvzvwOwm0BsIOLOsCRx2Aw97AwD3Vf4Wxx/iBfEij02JUccJf09n1gB9G781b6seICVm++o8Gmt7CLcEPJOAsAhiu/WX1l1Jfd2bDgt0bGBCMJvD5Dqpus7LyI/LttXbBxEPmre9On/JBGhxc8/1QjsxdXVJZ+QclDLCmzdVrxr33q8avpbq6Wt6uzpA5/fOUwBkxugsEVoiqE1XSGDX3w7uVFdWdiRkSZ+YiV9p9NTkpGKlQfuSIlBw4IL4yn8C6sVXfhXcf3qmywrdj/PmYudrhz3W1dWroO2acxMui3veZ5n4IB3bZh6wTCnqxDzzIozez0x3UcTKbobyN2crGXsS+kJJJz6qw6bIo4JYRfkPJz1Pzq1tVB6ZDAiTgDAKYkXCrG9ZliJQWW00puXh4gUnHhhkcGxvPy8L792oGS73HHA5u37JOKBxY7RYYfvI03HaYpaujq12pQZiW/vgfDeFzm33ATIsQGOiP//3vf+84c2Y6LApwTPq6wZiYBH2Dbh36uNm1wvMkQAK5S2BoZFT27y+W8efPlbMmJnXCkMxoR87cJRC/ZhkTCnCYQ/8Y1CI+T05MqOmQZ17PxDV3w+Ne91PpKTzn5+flaPlRdbz0QKmMjo0lNWMiTGtwmrnQ+HVS8eIjtfaM3c6MD398FJ6hDUOhnjxdv9KbtTViaiSQOoG/PXggb97QdyZ1kkzBTODHwUEpLy9XXTTHThxTXR1O6II2lzETnzMmFGBSLygqlJnRF3L+vDF2FiIAji1wlIm1otfImOGQYh6Pq8cTw+lEe85mAqRdedrZ9YAuloICo7sFyjkVs6Rd9We6JBCLgKegSLDsMjcSIAH7CWRUKEAY4EGPpT6/+eYbNXEIPHNx/GT1yYglUIGi6ztjIQ/MJPZ8YiK89voXJ34fU1jYj8/+HOzoeoAVBZOkHC0rV+OsK6srZXqawx8Tac1r7VeluTmx1esSSY9htkbA7fMobI0aY5HA1ghkXChAFPT1r00IsrS0oIbt4DgcDM1bS3NAjYPF0qXmNQeix+2a42T7ZzssCpipDcOawBje0NwSJ4D5NcwWrcRjMqSVBNw+M6OVLJkWCWxGIONCASZv8/zkKPD09LSacOPatbaI8n958oSxaqEnX+3LyvzKgfHLL07IUtRQn4iIWfzFaovC/zczIwdKDiiRcKS8wvUzLSZ7aXCth2SJ2ROeFgV7uDJVEohFIGNC4WbPTfWwejD4YF25MBzFf8gvZ87Uh88tLLyX361OFAI/Bkxhii3QelWl03ShaV1XRThyFn+wypkRC1m9fPlSzdL2iSdfLRW9uDpTWxbjSXvR1RTOURPHpL0QzFDN0OfmmRl5CZBAOglkTChok7peDCS60rAWYM4EvaG7AQKhaF9RxCxkcHr0egyHvOGh3Ft2VnPCwiapbEPDazOTNTckPnw0lTxzMS4sYFxmOvMtC4tCLv7eM0+WJSCB9QQyJhS0RWF4aP1wPHQjlPn90nB27YGGpZ7Rp97e8e26WjR8/ZU6V1d7et25bD+QatcDHBfhk6C7G8qPlsvSYnomMMl29rHKz7UeYlFJ/zEIhUerqx6mP/fsyRG//2zatKP1RsPkraoP8pr+5RfHzZ1jVf2sTCdjQkG/KWM2wOgNyxjDchAIrM2ueFwviRrDaoAHIUQE/sxzhut0kV48y4UO49S95rRVi4KZjXledqfW1+nlwigdOjNmvpVywZkRw7njrdFgFeHe73usSiot6WBuHQx1h7O63cvZYw4fPDOw5gW3jQlkXChAEMzOzYVL+eHDO2ldXe5UzxkOZ0ctBN68WQsbjiQijc1NKgzSC61OxIIf4ucVFYKJhEoP+uRAyacyNDRijub4z6lYFN6+fStHysoVl6PlR3J2CGk6G/FMXZ1UVVWmM0vmFYPAsc8rZORpZpZ+j1GcpA/hIfVF1ReqOxVvz3ZslVVVss2zzY6kbUvzbWheyivK5VjF5xKaX7AtHyS8tLSs7o0+v8/WfHIh8YwJhVs9xuJD8DvAsp/t19qkvatHjh41HmxfNXwV5vvs2VPVoJhec6Ot9lSNCvc/m75Rjo1dXV1y7+5dFQULkJypq8+6/uWtOjPCd0PPWFlTWy10XNzoykn83LuVD8K53xPnxZDrCSwuLEr1F9VqxNbQqH1+VXi52rYtu4QCaEFEffjwcT04i49QKCQONGNCQZvUYXqD46K2GMCkGOjuFMynoDcddrMx/w+DD1U6mG0QFxu2kRcvBGb7Cw0NylM62xzRdN2T6XqA+Q7mcTD9v+vqNEbuSYAEHEBAL91sXtI42WK9HDe6LUaGh+NaCvH7x4tYshuGp+O+PDY6tumwc3QPjA6PyOTL8WSzsTU87v/obkY98DdjslrrjCH4wSjeMwFxwhwSXJgKLBAnFJrX2cTc67QRXj+rYgXEOTjyI020S6a2jAkF7cyIxsQSoCNPnyovZpieopc/RdcD3pCj51uIhgbnFIRbWFiWd/96J40N58VXelAaGhokcPmKfPlllWSbmSnZrgdcWKdPn1Y/ACyX/TpOV000O34nARKwnwDWq9m/v0SK9hXL7JvkZkPF/e/a1auq/97r3S5er1c8273KMlFTUy0Tk5OqAnjA7/DuUPcAPAjx8uXzl21aucH/M6he2hA33+uVnd4dapg6Xlai7714yGKG0vwCj8oLceC/03+nX7Z7dwpWYtRb7+1bsqtw1zo/MdyrvqiskqJdRQLhgw33/5KSEjl00Ceh/16QyclJ2eHdLnV1dTGHv3/T9I0qw9UrV1V8pNl9o1uKPt2rRNKOHTuNvXeHeg7g+aC3peVFxcj8TMAw8mAwqOqCOnm9+bLDu1MOHjwosFCbHcF/nnyl8j565Kj09t5WfnUej1flt3NXodzp61u32ubYT2NqNB/O7y4oUO1X/OlvJBBojUgb+UBQ+ny+cD1QHoy6epwBJ96MCQX9pmyXkyGmKIZTTEfP2nLUgJxtjiuaUyIWBfx48QPFzQF/A/fXZrzUPw7uSYAEMkcAv2e85eMNMdltcGBA/a5hLezu65X79+9Lf19feFE3PKix4Q20uakxfB/A583uH7hfoly4b5xvPC/3R0fVKrLw+cKxtuvt4eLiYaydy3GPRfdoZ0+3ut8WFhaq8HV1a0IBLztIO3qmXZ0OxIZ+DszPRzoz4qVRlwFljN70DL1w2saGeqK8xyv+h/zwQ68EHz6U3u5e8ZX5jHLV1ITf4JE/wpqfCRASEFY4Xn+uPsxB59PSvOZgDx84hEOdIdqwRlF3T7e6B6O+KDfaQm/IT9el6ljlavv1h2cZxout3tqut4XTRp1Qj5aWZnUM65xs5frRaW9ln3Gh8HL8xVbKvWkcKODj1eVy5PARtYbE6dpTcvBgqboIsmnIUDIWhc72dnUhYaloqFFuJJCrBPDGOTS8fmi1k+uLLkEMU64/YG7jVwAAIABJREFUe2ZLxfzi95VqwjTzWzESevz4sfrd443T/OaPh1iiPgqnT9cJLJD6gasLOD4xoR5ue/YUqdV+cXzgviFYyo+UhR+6OI764c0b+TbUr3V53urtVeUYHx8Ts+eBFgpez/bwgn5vQyG1WCAezAv/bbz9nz5dq9L8/vubulhqHxwMqhl64fyIDSsK4wG9a+cuefP2bUTYf/zys3g8Hiks2iuhmVl1LpaPQuPFP6q1hzBHB6wLens9Pa2c4nFv1YsPaqGA+t6+dVsHVftv279VZYaQ09utW7dVeSE2zM+g0WejyjKxd/9e5cD5JvRGtm/frgTEqynDSoQ0UBqILayNBMGhnfZ1+nbuMyYU4My4LX+b2CUUNDSYrgB3dnZOmXbQuOZG0uGcuk/UmRFOm5/kb1MX56O/PnZqdbK+XHW1dVJZeTzr65HtFcBb39Dj5N/KM1Xv2ZkZ1d0Ax22z+TqZ8mB0xOwb4yFnjjf/64L63eMhubCwZlpPVCjgrRem8PbrkXPU4EGJP7zJIy28pWP7U72x2m9f/x1zMdTnm93GjLsNDWsWhVu3esTj3R62GuhIa0IBD1/jhTGWUBgdGVH5Hy47HO6WRrdBub9MPfxHRow1gSCSUNbp6X/oLML7XxcXZVfRLiUkpmeMt3xtUdBdD/Ar2FO0R1qvXAnHwwctGOBXgAe43+dXgkwLhZ07d0aEx5fnE2OqzOYumJqTJ6X8yJF1YXEAwuT58zFVv9u3+1R3DoSVedOy5dp/Gi+E19oilzgwh7X6c8aEgtUVydX0Eul6wA8dfZ64UcDcxs0+AseryqXU77cvA6acEAEIhWDQvhEDCRUiiUB6+HZ7e2o3d5jiZ0ZfyP/6X/3KzF5bUxNeKh4mfLMTOB7uuCdstsHs78nLU8N+8WCL9efNy5eCYr96kKGLA2mPDK8faj4yZswAa35Adnf1qnLo7gVdHi0UUG5toodVwlNcoN6m379/r4KiSxXdLWhznYaeHwZD32Nt8NNA1wz6/tEloLsT0FWiuzCinRmRNhzh8SIQiwGOgSfKAqvOy5fG/D1wxo/edPnMHKJnG46Oo7+jzMgnXhmOVxj8my+sn4NIp2H1nkLBaqIWp7dZ1wNMarr/raVlrf/M4mIwuVUCWD2y1Bf75kRI6SOAG382rPUA6yVmn4XJGiJzq9YEkJ38+4QcPuxXZmo8SPAHR0B0G2hREG1RgLl9sw0PVcTf7t2uHqh4Q0a/O/bmz76SEllYXJTKEycMofD06bqkn48/V+ciLQq3xOPdpkZRmCNooQBrw5oz41rXA5wZ9dbZeV2lG1j1EWhtbVXfL30T+bCE9fjY58eUBQN8kDa6MapOnFBtAF8CzMaIbWl1fh5tUQAHOCN6PNvD9cd1Fs0Bzpah0FvVBQFu/hgvDpMTk6p8jY2Nugqq66Lu9OazB6NrIu8TwwnVzB+fVXkKC9W+qeliOG27P1Ao2E04xfQ36nqAqi0/clhdkDU1NVnVpZIiloxFV4tClZRkLH9mbBDADRPe6U7fRp49k0KPR80PgzfYrW74re/fv18O+49IMPhQmdfh+Pfh40clPlIRCuj+xUJxsF4mstXWnFL3nL89WL+g3+O/GRYFs48C7mF4aEeb0iE6yvxl6txa18O8FBUZFgXto4AyQVTs3f9ble/E1JQcKC1Rn1/PrY0cQV8/8oGvxfDQE/Ugh9+Cjg9RhfPhroeoUQ/T41Pi3blD/tLRlQiGNaFQdmhd+Ilxw9pgtihUVBwVrIAca4MF4k5/v7J2tHdeU+Ik1pDOWHHTcYxCIR2UU8gjnkUBPxyM/8UNAuY07WCTQlaMmgABTuGcAKQ0BDGEwsM05JRaFtpMj4d7KhvM4vit434QvWlzPx6CZkdHhM9PoOsBcyHgrbuxbm21XnMeyHtf0T7R0+23tRlv861tayMhdPiO7g5VTvOoh/7+fnUMXQHmDd0MuHeh3FooRI96MIcPBAIqncYLFwRdIehSwH1Qb62r5WpuibQy4Dy4oHsFTMJdD1GjHtDRga4M82KEOm3s0T2Cbgc8/JGv9lHw+dZ3PehzZqFQX1evhn7GmpoadUHZMEJDr2sUb6RKZ1eXKkdfX/q6mSkUzFeCAz/HsygErlxRFxa8kUfHIp1eHFiNnCkSF4VyRlNCKDi96+HJ8BPZlu+RlpZAytDGXhjdA4HA5Yi00JVxpKJC3QtgZv91fm2iHzx4tuV/EjESIiKy6QvmmvHuKFCjpcyzIo6NPVce9nA818MbcQxpYwQH+un1hodxrFEPeLtH+Oiul28uGdPux+t6MFsUkAem9Ec68PpHeTDqwbx1fdelzldVVZkPq5lUa+uMkRMQJb9MvVLno7secLDpYpNykMTwRPMIkunpX5SIQP4DA4bg0WIgVtfDmkVhreuh//49VW6wNqf99OlTwZBHzKcAH5P5+XnVTaKu8QePIuoCp0fUH+X4aex5xDk7v1Ao2EnXgrRjOTNCieOCx8XCYZAWQE4iCS4znQQsG4PiJur0ZaYxk2wsR7etYtEz2OJtvQ9zF3R2KksArAF4M8/LX3tbRh5wusU9Al766i14g66Pubm5sMMfRjfg7b+jrV311SONpgtNEcXGm6++B8FvINBqvO3rY+Y3aQgIfbyktFRZJsrKjykBgjf0zZwZdcZIp7jYo+qE4YHRmxqd4TGsBk3nm5Rjd3OgWXbneVTd9BwPeghotDMj0kMeeq4DcEA9uzrbw8fO1a+N5tjImVGfM3OAIyraCjxhuUDaYKzZmOeq6OjqVuHQpkgDYTGvA+LiWLqd1ikUoq82h32P7npAL2ddvTHzIkxkqThHOayqWVEcOIyeOxfbRJsVFciRQmIMP97EnLjBgbHzepd6ADyOsdrtVsv86tUrOXz4sEoX8yNALNWeqhU4NPf29Ijv0EF5NmYMFUQeQ8NDah0dr8cje0t8EdaGWGUAT9xTMA8BHl7IA/lhRsK3JkuFjnvv4T01UyDmb8Afull6bvWoh5nZmRHhfww+UGGRLrpDDvlKBRaX+to6OXL4cLjrFA/qYxVlcuLEsZiLQrW1tqoJkq62tupiROxh9fj3f/9SlR15oS54g38+9lyaA5fVA/rBA6MbCEMs8cCuqa6OTOPZT1JfVydFRXsUBzg4+g/5pbXtusyF3oTDwikS8U+ePBU+pj/AaoGJnFBe8zY7OyuNF5pl7+rMkSgj1jdC94zZyoDPmGCr6osT4bbQjAcGBsLDRM1p2/mZQsFOuhakbe56wMUDRbst7xM5+x98WFmAl0mQgOUE+u/0qbc+u36j6B+fX1zrm9+oAhh7bx4JsVFYfQ4OknhgL71b1oc23GPFX/2Q0+Z4szOjOTLCIm27NywLgHz03ANbzQ9dAcnySyQvlAtpJ8oYjp+ZnP+HQiGRVs1gGLNFobun1zA95eWHHXIyWDRmTQIkEEUAFj+8ZebleVz5G9VCwezMGIWIX7OQAIWCwxtNWxQCgRYpPYAbUJ5caY2cOczhVWDxSMA1BDBdMeZMeDAc6WjnFgBaKMSzKLiFQ67Vk0LB4S2qnRmVE0tenpq1bGEu5PBSs3gkYC8BDDEzD42zN7fEUsdMgrAmYBicWzcIhYKC3coBz60McrHeFAoOb1Xd9QChULCjYN2iLQ4vfs4V793Kh5yrUzZWqLT0oDwZdo4zI5yKMcoB1oRfflm/ymE2Mt5KmdGPjnUt0uGHsJXyMc7WCFAobI1b2mLprgcIhf47d9OWLzOKTaCu9rR8ETVOO3ZIHrWTADz+nTQzY0vLZdUt2NXRaWe1mTYJZIQAhUJGsCeeqbYoYKjN0srWp4BNPEeG3IgAZ2bciE76zkEoYAY7J2yh0IwawoY5AZzWHeIEPixD9hOgUHB4G2qhEG86T4cXP+eKx7UenNGkEAqPg5Gz1mWiZBgXD4GA5aMxaRE3EshFAhQKDm9V7cxIoeCMhuLMjM5oB6PrIfPLTGNJYHQLdnStX/fAGaRYChJInQCFQuoMbU1B+yhQKNiKOeHEudZDwqhsDegEHwVYEzDvPsTj/OKirfVl4iSQSQIUCpmkn0De7HpIAFIag/zh2B/UCnBpzJJZxSDgBKFw8t+rpbyign4JMdqHh3KLAIWCw9uTXQ/OaiA6MzqjPSAUMunMiEWT0OWA+fi5kUCuE6BQcHgL06LgrAbq+PZbMa/y5qzSuac0fzh2XH4afZaRCj8bGVFrOaAbihsJuIEAhYLDW5kWBYc3EIvnOgKYWAnWhGAw886UroPPCmeEAIVCRrAnnimdGRNnxZAkYCcBvXy0Z7tHmgPtgpUQuZGAGwhQKDi8ldn14PAGYvFcQ+DO7TvKkvDV+QbX1JkVJQEQoFBw+HXArgeHNxCLlxECmKM03fOU+sp8Sihg4SNuJOAmAhQKDm9tWhQc3kAsXkYIHDrokyfDw2nL+3bPbWP56IeDacuTGZGAUwhQKDilJeKUgxaFOGAydBiT62DKXm6ZJYDhkcND6XEmxJLWZWV+OVd/LrOVZu4kkCECFAoZAp9otnRmTJRUesKptR5KS9OTGXOJSyBdEy5h+eja2lrxeDwyPf1L3PLwBAnkMgEKBYe3LrsenNVAnMLZGe2RLqHQ0nJJ+SXc+EuXMyrOUpBABghQKGQAejJZsushGVr2h+XMjPYzTiSHdMzM+P79e8kv8Mjugt0y//59IsViGBLISQIUCg5vVloUnNVAtCg4oz0gFP76wL5lptXy0fuM5aNnpqedUWmWggQyRIBCIUPgE82WFoVESaUnHJwZS+mjkB7YG+QCoWCnM2NLc4vqcujo7tigFDxFAu4gQKHg8HamM6OzGgirR5b66MyY6Vax00dhdm5O9uwpMpaPnp/PdFWZPwlknACFQsabYOMCsOthYz7pPnvjL93S2tqa7myZXxSBY59XyKgNi0ItvV8SLB99tPxo2id0iqoiv5KAYwhQKDimKWIXhF0PsbnwKAnYMTPjcDCouhz6uXw0LzASCBOgUAijcOYHWhSc2S4sVe4RGB0dVctHHyk7IlgAihsJkIBBgELB4VcCLQoObyAWL2cIrC0f/TBn6sSKkIAVBCgUrKBoYxp0ZrQRLpMmARFlPeju7pbt27fL+eZmWV7m8tG8MEjATIBCwUzDgZ/Z9eCsRnk9PS1cPTDzbfJ/HTgojy1a60EvH33mTL2srNjh+ZB5XiwBCaRCgEIhFXppiMuuhzRATiILzMzIeRSSAGZTUGN4pDVdBD6fXzkwvngxZlNpmSwJZDcBCgWHtx8tCs5qIC4K5Yz2sEoo9N2+rRZ86uvrdUbFWAoScCABCgUHNoq5SLQomGlk/vPxqnLxf+bPfEFcXgJDKKS2zDSWj/aVlnL5aJdfS6z+5gQoFDZnlNEQdGbMKP51mR+vOC4lJSXrjvNAeglAKDwObn2tBzgsnqs/Jx6PV55PjKe38MyNBLKMAIWCwxuMXQ/OaiAuCuWM9oBQePRo60LhUrOxfPS37decUSGWggQcTIBCwcGNg6Kx68FZDcRlpp3RHqn4KGD56KJ9ReIpLpD5+QVnVIilIAEHE6BQcHDjoGi0KDirgZQzI7seMt4ohlAIJl2ON6E3glEOWPSJw1yTxscILiVAoeDwhqePgrMa6K+P/iqDg9YMy3NWzbKrNIf8h+TJk+GkC3369Gk1FPLewI9Jx2UEEnArAQoFh7c8ux4c3kAsXtYQgAUhLy9P6mpqsqbMLCgJOIEAhYITWmGDMrDrYQM4PEUCCRJQy0fX1Ej5kfIEYzAYCZCAJkChoEk4dE+LgkMbhsXKKgJYPtrr8Upff39WlZuFJQEnEKBQcEIrbFAGWhQ2gMNTJJAAgfGJCSUSDh3ycfnoBHgxCAlEE6BQiCbisO90ZnRWg0z/PC0vX3KCnky3SvFvihNaFGppaUGOlB8RjJKYmJjIdLGZPwlkJQEKBYc3G7senNVAFeXlUlxc7KxCubA0ePAPJ7B6ZF3dOeXAeP/+fRdSYpVJwBoCFArWcLQtFXY92IZ2SwlzZsYtYbM8UiLzKNztv6tEwunTtZbnzwRJwE0EKBQc3tq0KDirgTgzozPawxAKG89nAetPnidPxsfYVeSMVmMpspUAhYLDW44WBWc1EJeZdkZ7QChstNbD4L0f1fLRPX19zigwS0ECWUyAQsHhjUdnRmc1ELsenNEeEAp/fRB7Uaifp39WUzS3tbY6o7AsBQlkOQEKBYc3ILsenNVAWGa6tLTUWYVyYWkgFGI5M2KRJzibYs4ELvjkwguDVbaFAIWCLVitS5RdD9axtCIlWhSsoJh6GoaPwvpFoa4EAsqBkctHp86YKZCAJkChoEk4dE+LgrMaprurWzo7O51VKBeWxhAKkc6MmKYZy0fDokBrggsvClbZNgIUCrahtSZhWhSs4chUcovAnTv9EnoTiqjUtWttsquwkMtHR1DhFxJInQCFQuoMbU2Bzoy24mXiOUKgv7dPjXIY+D+DOVIjVoMEnEOAQsE5bRGzJOx6iImFB0kgTGBmelr5JfjoZBpmwg8kYCUBCgUradqQFrsebIDKJLOewLt/vVMLPK2srEjNqVrJy8+THwdpTcj6hmUFHEmAQsGRzbJWKFoU1ljwEwloAhcaGtSMi1jDAUMhsabDij7JPQmQgKUEKBQsxWl9YrQoWM80lRTrauuksvJ4KkkwrgUEvAWF8v2NDrUq5EHfQY5ysIApkyCBeAQoFOKRcchxOjM6pCFWi3H89xVSwr7wjDcKhkd6PB4uH53xlmAB3ECAQsHhray7HgLNzfJy/IW8GOVfJhmUlfnVOP2X41Nsiwxdi1NTL1R3Q15enjQ2nhPdFvx98N6Ae0NoLnLYrMNv8VlRPAoFhzeT7npAP+z2Aq94CorEW7BD/RUU5Mu2ggLR++0F29R58x5h8ws8Krzepxonm/KLVdbNmMSKo7l/kr9NedgjjXjhwH+zPMxthLQTiZNN+cUq62ZMYsWJxQbHIBLwh99FQcH2db8L5GW+zhNNO9ZvJJW4bGfj3pPOtrjWds3hd/XsKx6FgsPbbHBgQAqLi2R3wW4pLi4M7/EZM9Ct33tWj+t9rHDRx3RYvY8+j++xjiF/HUfvY4WLPqbD6n30eXyPdWyr+em0rMtvX9E+xRn7kiJjNsDofWlBgQqj9+bz5s9oR/1dh9V7fdy8N39ONO5W4ui0rYyr66X3sdKOPmawNtrQ+Gy0Y1HxXnX9FRWXhn8X+4oKpKDYr3hGp6O/67z1Xh83782fNQfsdRy9jxUu+pgOq/fR5/E91rFsyU+XPV31i85P54u2B7POds6cavVjjULBaqIWp/dh5YMsLb+TpaUFWVj+l7FfWFbHME2tPre4+C9ZWFyUpaUVWVxcUnvj+7IsLLyXBcR5j+PLgrA6bmRYI645bDjuahlSjbuVMqLuW61frLhbrR/KHo67ymNpGcyXZf79e1lYBt8F9R2fcQznjLZbWj2/ovbmsGtx18LquDqcsU8lbvJl1OXeSv1ix91a/TRjXNvG55XVa91ITzFX17Y+j9+Kca2vsU2sXWKXO5W4W6uzLr8uT6LXA+LpsDqu+drRx6xr0/VsjPx0G6RyzSYXV18by8vvLL4LMzkKBV4DJEACJEACJEACcQlQKMRFwxMkQAIkQAIkQAIUCrwGSIAESIAESIAE4hKgUIiLhidIgARIgARIgAQoFHgNkAAJkAAJkAAJxCVAoRAXDU+QAAmQAAmQAAlQKPAaIAESIAESIAESiEuAQiEuGp4gARIgARIgARKgUOA1QAIkQAIkQAIkEJcAhUJcNDxBAiRAAiRAAiRAocBrgARIgARIgARIIC4BCoW4aHiCBEiABEiABEiAQoHXAAmQAAmQAAmQQFwCFApx0fAECZAACZAACZAAhQKvARIgARIgARIggbgEKBTiouGJDysfZGpqSsbHxmVpcWlTIMvLSyos4iBuotvs7KyKF3oTSjRKToVber8kQ0ND0tPbI4MDA7Lw6685VT+rKjM3N2dcJ3PuvE5iccTvbHJiUv1OE/nNzc8vKIZ2XWO4V7j1dxyrfXLlGIVCrrSkTfWoq6mRvLw86evt2zSHB4NBFRZxktkam5pUvK6urmSi5UTYpaUVqaqqUvUHZ/y9fDmect1WVlZk9P8dkRejL1JOyykJNDaeU3x++KHXKUXKeDnw4C8oKJDi4mLBtbTZdv/+fcVwcPDhZkG3dB7Xb2tr65biMpJzCVAoOLdtHFGyubmQbN++XU6frtu0PM3NzeLxeGR0dGzTsOYAly5dUjevGzdumA+74vPA3QFV912FhXL5Squ6yVrxtvf06VPZuXOnjCXZFk6GHmhuVqxgeeFmEIBQKCwsFJ/fJ78mYIkKPnxoCIUHP9qCkELBFqwZT5RCIeNN4PwC/OlPX6mHzvT0dNzCwizs3eGV07Wn4oaJd6KluUXdvNxoUcDbF26uly+3xMOzpeM9vb0q3VwSCs1NhlDo66VFQV8UCwsL6rcJoYDPm23B4WEKhc0g8fw6AhQK65DwQDQBmCnxMOvs7Iw+Ff6uzcLoY092aw0EVPpuFgpWm2vRVYQ2Gx0dTbY5HBv+z92GUOjtplDQjbS0ZFgU/J/5BdaFzbZw10NwcLOgWzpPi8KWsDk+EoWC45so8wWcezMr2/K3SfG+YllefreuQLOht7KvoFBZFEKr5k84VvX19cqX//al6o7ADQQWh9rTp5UzldnxKlbXw5m6Myq/ycnJdfnVnjwlvtJS+WXqlToX+mdI/H6/VFYel76+PjlQUqIekugGqSgvlycjIwITPz7jGOqC+P13198sHz8aksrKStm1c5dKw+vxypHDR6Sjqz1hJ8M3oTdy9myDFO0rkm15n6h0Pt27V1BPfTMfHXkmJSUlgi4HsMG+tLRUOTWuq7DpwM2eXhUOcRRTj1fKjxyRx0NPwqHAYW/RHnUeZTiwv0R+nZ9X5//tiy+k3F8mrW1XFQfU71rrNXUObXLt6lXFBpx0m9WdqpPRF5HdSb23b6n2udZ2XQItgTBzpHe8okIeBIPh8uADrpuWSy0qji774cOHpb//rjp2sro6InysL9qicP16q5w9ezZ8XRXtKpLa2loZe/5TRLRXU68E1qqDB32CciFffR2f/apBQlFOkdfav42su8crlZV/UE6mHz58DKf97t2KDNzvX722jfbFtY3r6+bNW+Fwm33o7+uX6qrq8LWG8qG76HjFcentvb0ues/NHin+9DfheuAavna1LaZFASxqatbShh8Drsn+PkNADkZ1PUBQfl5REeaEshzyH5K7/XfXlePn6Z+lseG8fPqpcY2Bac3Jk8qhEvGsFr3rCsADaSdAoZB25NmZIW6CuAkEg+udoGBFwDmE0Vt/f786lpefJ22trcqprra+Vh0ryMtTNxUdVjszdnd360MqLaQJL+rorazMr9LB6ApsodB7dYPbnedR++qqKmX9wEMSaeDGiwfF7oLdEgi0SElpqTqOG615g+Mfyos4NXVVMjI8rNLJLzAemoFAYk5a9XV1Kg04mN0fuC94i9NlhqMnRjnAYRFOjLosEGHVlVVxnQ/hnDgcDKp6ICzSRLcCLDmoG47pDcf8PoOR/7PjUlNdLXjzxKbz8+TlqTBg0tNnOKp2dHercqP+bR0dyhqBBzC+40/zRjpt19vUMc2msrJCmpuaFGMd3vwghmjEceTX29OzxmSVN/hstmkfBSP9fPm+o0Mx0WzBwOzQh4cwwuI4rBDgVd9Yr47hON7C9abftHG8o71ThoeGI5xMh4eGdFAlHIwyrF3bTavdZzge65oNR179YM6vrqFORodHBE6aKCvSwLWrRSXaHtY8fRxxcV15igsi6qLrDuGMaxvhjx2rVIxw3WmxhONmZ8apqRmVX77HK2A8NDqqeOnfD64786a5Ig+c6+3ujkibQsFMKzc+UyjkRjvaXov2775TN57GxsZ1eZ39+qw619baps7hBnfgdwfUsXt3I99Imr8xzMc11WsjI2JZFCqOfa7ix7rplh8xRAuGhWELzc/JDu8Oowztxtsxjr+amlTHcGO8ePGiCot/8/Pz4vV61dul9rvAEE3cGPfsKRI8FMwWj59f/aJuvHjr38xhDBYNvGF903RRCQKdKYaXVlQYdeq+sSaItI9CIjfX+to6lfbEZOTb/c3/Mh7w9x/c19mJ9lGIHvVQesBol+ZLl1TYpZUVWVxcFDyMDh48KGA7Y/JF+fjxo7RcNpxNT355Mpz+d6vXA95wh4dHwsfR9kePGu1z69ba2/XhsnIpK68Q+LLoDU6bh3yHVBslIhS0RQHt2XenXyejhu6eP39etm3bJg8eGg81pI23fLTp7JvZcFh8CAaDyhqBB+f0L7/I0tKyetDBimKuO8LCQRf5Xb2yJhJ1mYPBxxHpIu7hssPyxbFjstH4g4XFRWXVgZMwrhfzBmsULE3I8+dJw2I2OzOjRjbs/XRvxNBDCIPTpw0hB2uUFoNNzcYoIvxWzcOae1fFGtLWFgVc5xD4uGafPX1qLorKq/RgqWIzOT6hzj2fGFdhEeftqpUKJ54OPwn/1hK5liMy4hfHE6BQcHwTOaOAs7Nz6mb129/ul5CpLxRvmbjJFBYVhU3z3V1d6qbR3BzbQU+9NX2SJz//bDzoYwmFY58bD9Wx55EPRdAoP1Km0v/737VQWJCdXq8q32zoTQQwOHnhxjj1D8P6oE/qYZ/6banndo8K17L6ANXh9B5vx3mf5MnNGzf1oXV7iAjc5PGAwsMgehv7aVTlUVZWFj6VqFCA4Rtv7KjLpUstMjo+qh7wSOjDx48RwgbHeuM4M+KBgjTGfoo00/+vQcMkfe/evXDZ9IfFxSUpKCpUo1/wtoqt81vjDff8V/+hg4X34TpdvaqODaxanB4FH4XD6A99t2+r8qDraLNNWxRqa2vW1ReC57effip//PorlQy6Op6PPY+dvTg1AAANcUlEQVSwguAEHox4oO/Zs1dZj3D9IixGDoBL04UmGXn6NNzFFt3V1tZpWFKiH/C67L23b4vHky94S4+3oQzIN9a1jWvoi8pjqiyjY4Z/Ca45VTaT2NVpv3r1Sp0znBmXBd2ECFv86X4dJGIP6xLOP3hgWAbv3TOsgY0XmyLC6S/fdRq/5attxkvA5UuXZefOXfp0xB6WQ6RNoRCBJSe+UCjkRDOmpxLaYRGmT2x4C9XHtIMZ3qTUQzg/T5mXY5VM3/C1c2QsZ0b4CeCmE8uioLtB9LlQaEY8BUWrY8kjHbpgXkY6ZjM4yhQtFFqbjZucr9SnTM7oFkBXQFVNjVRVV6tjeANtbIx9Q0WaeADBtA6TLNhEb3jbxnm85aL7AVv4oZrA2POpf/5TiSHUB39Gec6tqxvSjefMqE3SU6Y3e4Q//tlxlaa5e0EVcPVfNC84nqIMTYH1YlB3S7S1GW/hOq7ZmqDTRn5IJxGLQvi6MXVR6XSwh0nc3P2lz4E1BCGsA/ptXTPUc1ZAAOlj6H4qKCxQ5n5t/tdpoTsJ4VAnXCPRf/ra1L8HHW+jPa6btrY21RVSULA7XA7tiIprDnl296wfForywf9AWxTQNYiw6P6KtekuD92FqK8/1EvXBdc9rgfs/eXG7+d8w3mVHLqi4rWVZkihEIt8dh+jUMju9ktr6XFTh/WgrMyn3szezL1RNyk4zk3PGCZlvN3iJgozMPr4Y22BNuOh3N1jmOBjWRR010Osty7d9RC2KPwzpCwK6H9finK21BaFt6HI2fzqVv0ltEWhucUwMRcV7VEPetx48YcHa3h/4IBcXe1eiVWvqdevVZeGz+df98aL8Bi+hjfzXUW7tiQUkMbos5/kTH29KhfaAg8FmMzhqIYHjt42sihAYJjDIk75Z0Z3QbSg0uk11Bt+FxiHj013PVy9ckUHCe/b/7NdlavtWrs6VrM6aReul+hNC4VkLArxHsIQCrg29Hbndp96qJk5wfETDzs4Debl4c1/zdL0t8d/VU56h/2HVfnBtmBHgQr/9NkzlSyEHo7jWou4Nkzfcb0M9m88+gf86xvOhC0Z272Gnwn8a7SfwthPhjUND2nkGWv+CFxTeh4FfNb+QnGFwtCQSktbFK5cuay+79pVqOqj64W9vu5Rz8uXA6r+NaciGWvWeo9yUihoGrmzp1DInbZMS03Mb/r6rRXe1XqDCVi9QcKiEGdoXrQVQjszmm+EcEDETUdbDXT62GvnNX2Tx5sMHn64sek3dR0ex5BO9JuhfsuNFgqpDNFEeXYXeNQNV+dv3qMMKAseBNrioN/otnJzxRu6ZqnSLV5zaARLHIv2UcADAMej3+43syjAKdKcXlub0fUQaDPEgLmeuk6wLGDTloBYbYm3ZqQb7y3VnG5jY7PqLognFI5XlUtldaWKgusA6eKvob5hXVeAehh7Ih00zXmhLfU1gjRwPWLTFgXdBWOOk+hnXAf6uoTweLjqV6Hj63y1RaF51eegs3398GSkBaEAyxl8FuBfg/JCNMXacL3jvHZm1G2V6HVfW1snEMLxNqS9lWs5Xno87gwCFArOaIesKUVvzy11o7lypTXsSHW7/05E+fXb7PlzhrnSfBL9szC94y0Pw6ywaYuC+WalfRQwjNC8wWHrd6vOXmvOjIaPQqkPDl3L5uBqxjrcvNZZFFbfcrVQuH3b8MpvqDf6uCMSUQ6QCxK4ekUmVp26os/jO/wSUAa84f86v95HYXRkRLGrKD8ajq5v1JvdXMGtt6dX2q61rrNWzMzOqeGQcNCEcx423QbREy7hAZXvXW9ReDhkPEDu9q85CepCvn0bkn1F+5TvhRZi2qJwJcZIkKttV1U9264ZPgojI4YY6L29fv6Da9cM60MiQqGl1bD61NbUyNpgRaOUeGDu2bNHvln1i7l1yxBK8I+Alcu8ISz8SCAuYZWCc2t7Z7vc7ou8jhFnfGJM1QXXK7bOzuvqO5wnY214uLd3dqwTpuawo6PPVBoYHqodEPV5+ESUr44w0j4K+jfX8B9ndbDwHr43+Xl56jqHRQHOkLjeYRmDaI/e4N+B89qicHfVf+TLqi+jg6rvT54+k45uYwQMDly9ejXiOjBH6mgz/Dc2u5bNcfg5OwhQKGRHOzmmlDAfFxYWSamvRDye7epNEJ7x5g0PE/T144Z0o+tG+EaNm+DZhq/U8TNn6sNRAi3GzIw3TH3P9XXGMLaLzd+ErQSvZ2dFH0faYYvC/ILs8Bao/uel5cgH9FrXgzGPgM5Uv7VpoYAbLAQMHiAYpomRAHqbfDWhrAQQABhJsdE2NGR41NfVnY54WLx5E5KyVZN2T8/aaIBEhQLyhPBCvaMdDjFiY2fhTlV/PNSxaWtP9INSvcnm5wk86aM3PLgOHDykrDj64Yo2wwgO5Iu5LfQWFgpXLutD4f21a9dUeIgAvZ2pr1MjSoaCQVlaXlIWlfHnz2XXHmO+imS6HlCWO3fuhq8r1B+jaPAw1577Xd8ZPhR9vT0Rwmps9CfVlkgDf7ByYGQA3sox5wWGcZodGGH+R7gDpWvOgXrUw/c3/iucNn4BuB6PlpWLz+eLaHvNQO+HnxqzI4I3RIve8Pnqarcc8oRTJTa0KSwg3h07ZHxibbgwuolO155W5UO7apHc3dGlWFQdq5TQ6vUAyXCrxxBPSFsLBQhQbb2709cXMVoDXEtLjVEyGCmC7fXMayWE8VuZXBWlOB4MPhIMr0TaFAoKVU79o1DIqeZMT2XWzN35aux3rFy1UxVuHHiLgeNiVYXRD45j+iGPuC0xZmbUDzqEhbkX/dyFHq8aO677cLUpG86M8RbGievMWGcsMKSFAsqB+RiQjs6zs6srPE8BjsUz50bXv2V1SB3Myhip8OfAn6XI5ARnftNLVCigqwLlU2IGkxp9dlw6uztX0zbmizDXRZugdV10VwP6mz0Fu9f5KKAOun8b81zAOx5tdrzifygeSMfcZtqZMRBojq5+eMy/dmZEAMTFGzzS2VdkLGKE75p3IhYF3YUBrl5PvhJOKCOYIF3d7YD88NDFMfypeTW6u+Xc+bpwGXQcbd7HNaTnhIBDIvxn0NWhy2eeQ8N8bes5O+rP1Uuex8gPlp+NNpRNd2GgLpjbo7llbQ4Kfc3q7gGD34wqO5jh94c4mEcBD2fMiQGhYBYdYIG6Q9Rf72pV1wvCIj8c186MSBvdKLpLqtTvl462dtVdpBkhP91VhvB6ynWwQZvASRTl0nWiUNio9bPzHIVCdrZbRks9MzMjRz8vl5NfYiKf9eZNFA5vWFg6+f9v745dmwzCOI6DiH9BCaVTaBEpUqRDkCAOUo2ho5QS3iEU7CC1JQQJRTo466BVXkKHUkSKdAhaFIdSSukfIE4uIo4OTk6m28nvCe/bt0mOpBBokn4DpSWX3nv3uWve5y531/kHc06nEupNZXxy3C2vlFtuUuGbVy6TyZ4aKR8f/7PpYE3Ta7Q3khp1C8WC3XAWHy3ZTMavn41Rsd7o8jM5FwRBPPsQAenzaW1H/PP3ZOSmtGdrq/Z889T84eGRLV67cX3Kyqw3S5VBNwpNUXfz0B7+pZVlN5WZciOpEcsnMz3t1sP1lvJtbW5a3TVV3s1jb18nR961EaZMVb7srZtuZ+f0tkb53b+Xt2urDN++NkaiWsinG+Hvpm2k0bXD16HTZ/1jo2ONNptIu5VSqWVNw/b7bcsneVZClMfbrXdWp+RZB0qrfay5oPjQzpNQGdQ26iO6cSW3jEb5NH8P10NbrKitnMvlStyv1FaPn5Rs5J38nWpYtTLq5EZZXZu86iqrjdMxteBSwcnu5934V2SoYHB8Im2vV0B6ZyZnU+/J8wjUt3WjDQpB/Fp5qU4vn7+IZzrijNv8oCA3KBRsFsj+NibSdu1Pux/s70NnblSb+sTe/r71RWv3lPpl1ml2Kp+fdQpUkrNpCgwVsEb9WAFiuVxxBwcHZn3U9JGeZioKc/Nxv9J2Zy3q3AhbtwOrf2v9iRaGRmVZWCxaoKLFpOrTPIZLgEBhuNqzL2ujUKJer58alfRlQdsUqt7mubM+1Ys8fNeUa6dHcjTY6bVnSe985c65RYsZu52t6Zxj717RjW29zTqA3pWAnBDoDwEChf5oB0qBwNAK6DhknZzZbjHj2tPGPwTzHXQ1tChUDIEBEiBQGKDGoqgIDKpALpe3BXY6PKi6UbUFo6VyyV26fMXdns15PwoZ1PpSbgSGSYBAYZhak7og0KcCWminNQFaj5D80v8j6GaKv0+rRbEQuBACBAoXopmpJALnL6CteDoyWVvzal9q7sf3k5Mkz790lAABBHwCBAo+GZ5HAAEEEEAAAUegQCdAAAEEEEAAAa8AgYKXhgQEEEAAAQQQIFCgDyCAAAIIIICAV4BAwUtDAgIIIIAAAggQKNAHEEAAAQQQQMArQKDgpSEBAQQQQAABBAgU6AMIIIAAAggg4BUgUPDSkIAAAggggAACBAr0AQQQQAABBBDwChAoeGlIQAABBBBAAAECBfoAAggggAACCHgFCBS8NCQggAACCCCAAIECfQABBBBAAAEEvAIECl4aEhBAAAEEEEDgPwcE6s1rcT68AAAAAElFTkSuQmCC" width="328" height="256"></p>
<p>increasing S-shape pH curve ✓</p>
<p>p<em>K</em><sub>a</sub>: pH at half neutralization/equivalence ✓</p>
<p><em><br>M1: Titration curve must show buffer region at pH <7 and equivalence at pH >7.</em></p>
<p><em>Ignore other parts of the curve, i.e., before buffer region, etc.</em></p>
<p><em>Accept curve starting from where two axes meet as pH scale is not specified.</em></p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>phenolphthalein<br><em><strong>OR</strong></em><br>phenol red ✓</p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em><strong>Alternative 1:</strong></em><br><em>K</em><sub>a</sub> = <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfrac><mrow><mfenced open="[" close="]"><msup><mi mathvariant="normal">H</mi><mo>+</mo></msup></mfenced><mfenced open="[" close="]"><msup><mi>HCOO</mi><mo>-</mo></msup></mfenced></mrow><mfenced open="[" close="]"><mi>HCOOH</mi></mfenced></mfrac></math><br><em><strong>OR</strong></em><br>[HCOOH] = <math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><msup><mfenced><msup><mn>10</mn><mrow><mo>-</mo><mn>4</mn><mo>.</mo><mn>12</mn></mrow></msup></mfenced><mn>2</mn></msup><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn><mo>.</mo><mn>75</mn></mrow></msup></mfrac></math>✓</p>
<p>«[HCOOH] =» 3.24 × 10<sup>−5</sup> «mol dm<sup>−3</sup>» ✓</p>
<p> </p>
<p><em><strong>Alternative 2:</strong></em><br>«pH = p<em>K</em><sub>a</sub> + log <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfrac><mfenced open="[" close="]"><msup><mi>HCOO</mi><mo>-</mo></msup></mfenced><mfenced open="[" close="]"><mi>HCOOH</mi></mfenced></mfrac></math>»<br>4.12 = 3.75 + log<math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfrac><msup><mn>10</mn><mrow><mo>-</mo><mn>4</mn><mo>.</mo><mn>12</mn></mrow></msup><mfenced open="[" close="]"><mi>HCOOH</mi></mfenced></mfrac></math> ✓</p>
<p>«[HCOOH] =» 3.24 × 10<sup>−5</sup> «mol dm<sup>−3</sup>» ✓</p>
<p> </p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Sodium methanoate:</em> basic</p>
<p><em>Ammonium chloride:</em> acidic</p>
<p><em>Sodium nitrate:</em> neutral ✓ ✓</p>
<p><em><br>Award <strong>[2]</strong> for three correct.</em></p>
<p><em>Award <strong>[1]</strong> for two correct.</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">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</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>Many reactions are in a state of equilibrium.</p>
</div>
<div class="specification">
<p>The following reaction was allowed to reach equilibrium at 761 K.</p>
<p style="text-align: center;">H<sub>2</sub> (g) + I<sub>2</sub> (g) <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
<mo stretchy="false">⇌<!-- ⇌ --></mo>
</math></span> 2HI (g) Δ<em>H</em><sup>θ</sup> < 0</p>
</div>
<div class="specification">
<p>The pH of 0.010 mol dm<sup>–3</sup> carbonic acid, H<sub>2</sub>CO<sub>3</sub> (aq), is 4.17 at 25 °C.</p>
<p style="text-align: center;">H<sub>2</sub>CO<sub>3</sub> (aq) + H<sub>2</sub>O (l) <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
<mo stretchy="false">⇌<!-- ⇌ --></mo>
</math></span> HCO<sub>3</sub><sup>–</sup> (aq) + H<sub>3</sub>O<sup>+</sup> (aq).</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the equilibrium constant expression,<em> K</em><sub>c</sub> , 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>The following equilibrium concentrations in mol dm<sup>–3</sup> were obtained at 761 K.</p>
<p><img src="data:image/png;base64,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"></p>
<p>Calculate the value of the equilibrium constant at 761 K.</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>Determine the value of Δ<em>G</em><sup>θ</sup>, in kJ, for the above reaction at 761 K using section 1 of the data booklet.</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>Calculate [H<sub>3</sub>O<sup>+</sup>] in the solution and the dissociation constant, <em>K</em><sub>a</sub> , of the acid at 25 °C.</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate <em>K</em><sub>b</sub> for HCO<sub>3</sub><sup>–</sup> acting as a base.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.ii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><em>K</em><sub>c</sub> = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{{{{\text{[HI]}}}^{\text{2}}}}}{{{\text{[}}{{\text{H}}_{\text{2}}}{\text{][}}{{\text{I}}_{\text{2}}}{\text{]}}}}">
<mfrac>
<mrow>
<mrow>
<msup>
<mrow>
<mrow>
<mtext>[HI]</mtext>
</mrow>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msup>
</mrow>
</mrow>
<mrow>
<mrow>
<mtext>[</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>][</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>I</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>]</mtext>
</mrow>
</mrow>
</mfrac>
</math></span></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>45.6</p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Δ<em>G</em><sup>θ</sup> = «– <em>RT</em> ln <em>K</em> = – (0.00831 kJ K<sup>−1</sup> mol<sup>−1</sup> x 761 K x ln 45.6) =» – 24.2 «kJ»</p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>[H<sub>3</sub>O<sup>+</sup>] = 6.76 x 10<sup>–5</sup> «mol dm<sup>–3</sup>»</p>
<p><em>K</em><sub>a</sub> = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{{{\left( {6.76 \times {{10}^{ - 5}}} \right)}^2}}}{{\left( {0.010 - 6.76 \times {{10}^{ - 5}}} \right)}}/\frac{{{{\left( {6.76 \times {{10}^{ - 5}}} \right)}^2}}}{{0.010}}">
<mfrac>
<mrow>
<mrow>
<msup>
<mrow>
<mrow>
<mo>(</mo>
<mrow>
<mn>6.76</mn>
<mo>×</mo>
<mrow>
<msup>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mo>−</mo>
<mn>5</mn>
</mrow>
</msup>
</mrow>
</mrow>
<mo>)</mo>
</mrow>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</mrow>
<mrow>
<mrow>
<mo>(</mo>
<mrow>
<mn>0.010</mn>
<mo>−</mo>
<mn>6.76</mn>
<mo>×</mo>
<mrow>
<msup>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mo>−</mo>
<mn>5</mn>
</mrow>
</msup>
</mrow>
</mrow>
<mo>)</mo>
</mrow>
</mrow>
</mfrac>
<mrow>
<mo>/</mo>
</mrow>
<mfrac>
<mrow>
<mrow>
<msup>
<mrow>
<mrow>
<mo>(</mo>
<mrow>
<mn>6.76</mn>
<mo>×</mo>
<mrow>
<msup>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mo>−</mo>
<mn>5</mn>
</mrow>
</msup>
</mrow>
</mrow>
<mo>)</mo>
</mrow>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</mrow>
<mrow>
<mn>0.010</mn>
</mrow>
</mfrac>
</math></span></p>
<p>4.6 x 10<sup>–7</sup></p>
<p><em>Accept 4.57 x 10<sup>–7</sup></em></p>
<p><em>Award <strong>[3]</strong> for correct final answer.</em></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{1.00 \times {{10}^{ - 14}}}}{{4.6 \times {{10}^{ - 7}}}}">
<mfrac>
<mrow>
<mn>1.00</mn>
<mo>×</mo>
<mrow>
<msup>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mo>−</mo>
<mn>14</mn>
</mrow>
</msup>
</mrow>
</mrow>
<mrow>
<mn>4.6</mn>
<mo>×</mo>
<mrow>
<msup>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mo>−</mo>
<mn>7</mn>
</mrow>
</msup>
</mrow>
</mrow>
</mfrac>
</math></span> =» 2.17 x 10<sup>–8</sup></p>
<p><em><strong>OR</strong></em></p>
<p>«<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{1.00 \times {{10}^{ - 14}}}}{{4.57 \times {{10}^{ - 7}}}}">
<mfrac>
<mrow>
<mn>1.00</mn>
<mo>×</mo>
<mrow>
<msup>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mo>−</mo>
<mn>14</mn>
</mrow>
</msup>
</mrow>
</mrow>
<mrow>
<mn>4.57</mn>
<mo>×</mo>
<mrow>
<msup>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mo>−</mo>
<mn>7</mn>
</mrow>
</msup>
</mrow>
</mrow>
</mfrac>
</math></span> =» 2.19 x 10<sup>–8</sup></p>
<div class="question_part_label">c.ii.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.ii.</div>
</div>
<br><hr><br><div class="specification">
<p>Limescale, CaCO<sub>3</sub>(s), can be removed from water kettles by using vinegar, a dilute solution of ethanoic acid, CH<sub>3</sub>COOH(aq).</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Predict, giving a reason, a difference between the reactions of the same concentrations of hydrochloric acid and ethanoic acid with samples of calcium carbonate.</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>Dissolved carbon dioxide causes unpolluted rain to have a pH of approximately 5, but other dissolved gases can result in a much lower pH. State one environmental effect of acid rain.</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>Write an equation to show ammonia, NH<sub>3</sub>, acting as a Brønsted–Lowry base and a different equation to show it acting as a Lewis base.</p>
<p><img src="data:image/png;base64,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"></p>
<p> </p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine the pH of 0.010 mol dm<sup>−3</sup> 2,2-dimethylpropanoic acid solution.</p>
<p><em>K</em><sub>a</sub> (2,2-dimethylpropanoic acid) = 9.333 × 10<sup>−6</sup></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>Explain, using appropriate equations, how a suitably concentrated solution formed by the partial neutralization of 2,2-dimethylpropanoic acid with sodium hydroxide acts as a buffer solution.</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>slower rate with ethanoic acid</p>
<p><strong><em>OR</em></strong></p>
<p>smaller temperature rise with ethanoic acid</p>
<p> </p>
<p>[H<sup>+</sup>] lower</p>
<p><strong><em>OR</em></strong></p>
<p>ethanoic acid is weak</p>
<p><strong><em>OR</em></strong></p>
<p>ethanoic acid is partially dissociated</p>
<p> </p>
<p><em>Accept experimental observations such </em><em>as “slower bubbling” or “feels less </em><em>warm”.</em></p>
<p> </p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any one of:</em></p>
<p>corrosion of materials/metals/carbonate materials</p>
<p>destruction of plant/aquatic life</p>
<p><strong>«</strong>indirect<strong>» </strong>effect on human health</p>
<p> </p>
<p><em>Accept “lowering pH of </em><em>oceans/lakes/waterways”.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Brønsted–Lowry base:</em></p>
<p>NH<sub>3</sub> + H<sup>+</sup> → NH<sub>4</sub><sup>+</sup></p>
<p><em>Lewis base:</em></p>
<p>NH<sub>3</sub> + BF<sub>3</sub> → H<sub>3</sub>NBF<sub>3</sub></p>
<p> </p>
<p><em>Accept “AlCl</em><sub><em>3 </em></sub><em>as an example of Lewis </em><em>acid”.</em></p>
<p><em>Accept other valid equations such as </em><em>Cu</em><sup><em>2+</em></sup><em> +</em><em> </em><em>4NH</em><sub><em>3 </em></sub><em>→ </em><em>[Cu(NH</em><sub><em>3</em></sub><em>)</em><sub><em>4</em></sub><em>]</em><sup><em>2</em><em>+</em></sup><em>.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>[H<sup>+</sup>] <strong>«</strong><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" = \sqrt {{{\text{K}}_{\text{a}}} \times \left[ {{{\text{C}}_5}{{\text{H}}_{10}}{{\text{O}}_2}} \right]} = \sqrt {9.333 \times {{10}^{ - 6}} \times 0.010} {\text{ }}">
<mo>=</mo>
<msqrt>
<mrow>
<msub>
<mrow>
<mtext>K</mtext>
</mrow>
<mrow>
<mtext>a</mtext>
</mrow>
</msub>
</mrow>
<mo>×</mo>
<mrow>
<mo>[</mo>
<mrow>
<mrow>
<msub>
<mrow>
<mtext>C</mtext>
</mrow>
<mn>5</mn>
</msub>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>H</mtext>
</mrow>
<mrow>
<mn>10</mn>
</mrow>
</msub>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>O</mtext>
</mrow>
<mn>2</mn>
</msub>
</mrow>
</mrow>
<mo>]</mo>
</mrow>
</msqrt>
<mo>=</mo>
<msqrt>
<mn>9.333</mn>
<mo>×</mo>
<mrow>
<msup>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mo>−</mo>
<mn>6</mn>
</mrow>
</msup>
</mrow>
<mo>×</mo>
<mn>0.010</mn>
</msqrt>
<mrow>
<mtext> </mtext>
</mrow>
</math></span><strong>» </strong>= 3.055 × 10<sup>–4</sup> <strong>«</strong>mol dm<sup>–3</sup><strong>»</strong></p>
<p><strong>«</strong>pH =<strong>» </strong>3.51</p>
<p> </p>
<p><em>Accept “pH =</em><em> </em><em>3.52”.</em></p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<p><em>Accept other calculation methods.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(CH<sub>3</sub>)<sub>3</sub>CCOOH(aq) + OH<sup>–</sup>(aq) → (CH<sub>3</sub>)<sub>3</sub>CCOO<sup>–</sup>(aq) + H<sub>2</sub>O(l)</p>
<p><strong><em>OR</em></strong></p>
<p>(CH<sub>3</sub>)<sub>3</sub>CCOOH(aq) + OH<sup>–</sup>(aq) <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
<mo stretchy="false">⇌</mo>
</math></span> (CH<sub>3</sub>)<sub>3</sub>CCOO<sup>–</sup>(aq) + H<sub>2</sub>O(l) <strong><em>AND </em></strong>addition of alkali causes equilibrium to move to right</p>
<p> </p>
<p>(CH<sub>3</sub>)<sub>3</sub>CCOO<sup>–</sup>(aq) + H<sup>+</sup>(aq) → (CH<sub>3</sub>)<sub>3</sub>CCOOH(aq)</p>
<p><strong><em>OR</em></strong></p>
<p>(CH<sub>3</sub>)<sub>3</sub>CCOO<sup>–</sup>(aq) + H<sup>+</sup>(aq) <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
<mo stretchy="false">⇌</mo>
</math></span> (CH<sub>3</sub>)<sub>3</sub>CCOOH(aq) <strong><em>AND </em></strong>addition of acid causes equilibrium to move to right</p>
<p> </p>
<p><em>Accept “HA” for the acid.</em></p>
<p><em>Award </em><strong><em>[1 max] </em></strong><em>for correct explanations </em><em>of buffering with addition of acid </em><strong><em>AND</em></strong><em> base </em><strong><em>without </em></strong><em>equilibrium equations.</em></p>
<p><strong><em>[2 marks]</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.</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>Halogenoalkanes undergo nucleophilic substitution reactions with sodium hydroxide.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State a reason why most halogenoalkanes are more reactive than alkanes.</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>Classify 1-bromopropane as a primary, secondary or tertiary halogenoalkane, giving a reason.</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>Explain the mechanism of the reaction between 1-bromopropane with aqueous sodium hydroxide using curly arrows to represent the movement of electron pairs.</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>State, giving your reason, whether the hydroxide ion acts as a Lewis acid, a Lewis base, or neither in the nucleophilic substitution.</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>Suggest <strong>two</strong> advantages of understanding organic reaction mechanisms.</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>polarity/polar «molecule/bond»<br><em><strong>OR</strong></em><br>carbon–halogen bond is weaker than C–H bond ✔</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>primary <em><strong>AND</strong> </em>Br/bromine is attached to a carbon bonded to two hydrogens<br><em><strong>OR</strong></em><br>primary <em><strong>AND</strong></em> Br/bromine is attached to a carbon bonded to one C/R/alkyl «group» ✔</p>
<p> </p>
<p><em>Accept “primary <strong>AND</strong> Br/bromine is attached to the first carbon in the chain”.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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"></p>
<p>curly arrow going from lone pair/negative charge on O in HO<sup>–</sup> to C ✔</p>
<p>curly arrow showing Br leaving ✔</p>
<p>representation of transition state showing negative charge, square brackets and partial bonds ✔</p>
<p>formation of organic product CH<sub>3</sub>CH<sub>2</sub>CH<sub>2</sub>OH <em><strong>AND</strong> </em>Br<sup>–</sup> ✔</p>
<p> </p>
<p><em>Do <strong>not</strong> allow curly arrow originating on H in HO<sup>–</sup>.</em></p>
<p><em>Accept curly arrow either going from bond between C and Br to Br in 1-bromopropane or in the transition state.</em></p>
<p><em>Do <strong>not</strong> penalize if HO and Br are not at 180° to each other.</em></p>
<p><em>Do <strong>not</strong> award <strong>M3</strong> if OH–C bond is represented.</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«Lewis» base <em><strong>AND</strong></em> donates a pair of electrons ✔</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any two of:</em><br>choose «most» appropriate reaction «for preparing the target compound» ✔<br>design/discover new reactions/reagents ✔<br>apply this knowledge to other areas of chemistry/science ✔<br>«retro-»synthesis «more effective» ✔<br>control/predict «desired» products ✔<br>control rate of reaction «more effectively» ✔<br>satisfy intellectual curiosity ✔<br>predicting how changing reagents/conditions might affect reaction ✔<br>suggesting intermediates/transition states ✔</p>
<p> </p>
<p><em>Accept other reasonable answers.</em></p>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<br><hr><br><div class="specification">
<p>Phosphoric acid, H<sub>3</sub>PO<sub>4</sub> can form three different salts depending on the extent of neutralisation by sodium hydroxide.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Formulate an equation for the reaction of one mole of phosphoric acid with one mole of sodium hydroxide.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Formulate <strong>two</strong> equations to show the amphiprotic nature of H<sub>2</sub>PO<sub>4</sub><sup>−</sup>.</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>Calculate the concentration of H<sub>3</sub>PO<sub>4</sub> if 25.00 cm<sup>3</sup> is completely neutralised by the addition of 28.40 cm<sup>3</sup> of 0.5000 mol dm<sup>−3</sup> NaOH.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline the reasons that sodium hydroxide is considered a Brønsted–Lowry and Lewis base.</p>
<p><img src="data:image/png;base64,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"></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>H<sub>3</sub>PO<sub>4 </sub>(aq) + NaOH (aq) → NaH<sub>2</sub>PO<sub>4 </sub>(aq) + H<sub>2</sub>O (l) ✔</p>
<p><em><br>Accept net ionic equation.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>H<sub>2</sub>PO<sub>4</sub><sup>− </sup>(aq) + H<sup>+ </sup>(aq) → H<sub>3</sub>PO<sub>4 </sub>(aq) ✔</p>
<p>H<sub>2</sub>PO<sub>4</sub><sup>− </sup>(aq) + OH<sup>− </sup>(aq) → HPO<sub>4</sub><sup>2− </sup>(aq) + H<sub>2</sub>O (l) ✔</p>
<p><em><br>Accept reactions of H<sub>2</sub>PO<sub>4</sub><sup>−</sup> with any acidic, basic or amphiprotic species, such as H<sub>3</sub>O<sup>+</sup>, NH<sub>3</sub> or H<sub>2</sub>O. </em></p>
<p><em>Accept H<sub>2</sub>PO<sub>4</sub><sup>−</sup> (aq) → HPO<sub>4</sub><sup>2−</sup> (aq) + H<sup>+</sup> (aq) for <strong>M2</strong>.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«<math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mi>NaOH</mi><mo> </mo><mfrac><mrow><mn>28</mn><mo>.</mo><mn>40</mn><mo> </mo><msup><mi>cm</mi><mn>3</mn></msup></mrow><mn>1000</mn></mfrac><mo>×</mo><mn>0</mn><mo>.</mo><mn>5000</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>=</mo><mn>0</mn><mo>.</mo><mn>01420</mn><mo> </mo><mi>mol</mi></math>»</p>
<p>«<math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>01420</mn><mo> </mo><mi>mol</mi></mrow><mn>3</mn></mfrac><mo>=</mo></math>» 0.004733 «mol» ✔</p>
<p>«<math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>004733</mn><mo> </mo><mi>mol</mi></mrow><mstyle displaystyle="true"><mfrac><mrow><mn>25</mn><mo>.</mo><mn>00</mn><mo> </mo><msup><mi>cm</mi><mn>3</mn></msup></mrow><mn>1000</mn></mfrac></mstyle></mfrac><mo>=</mo></math>» 0.1893 «mol dm<sup>−3</sup>» ✔</p>
<p> </p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Brønsted–Lowry base:</em><br>proton acceptor</p>
<p><em><strong>AND</strong></em></p>
<p><em>Lewis Base:</em><br>e<sup>–</sup> pair donor/nucleophile ✔</p>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</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>
<br><hr><br><div class="specification">
<p>Hybridization of hydrocarbons affects their reactivity.</p>
</div>
<div class="specification">
<p>Experiments were carried out to investigate the mechanism of reaction between 2-chloropentane and aqueous sodium hydroxide.</p>
<p style="text-align: center;"><img 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4+JAbUMW5ONNwHqKX5XuHaND0PDhO4SR1xJL4N/JxMUaDYiVhx5aST7JR6bKc7dLvLHo9HhFnZMs8kTWq/hFM/d6XC1sYF3w1tidklFoA/utOqbmf7NgVD4iltovh0mjHN6W9TxspGuTzkQQgght4ZVIbLXmivw/l/+xoO3ODHGmyjqcNeiBhz6/qLJ3ACXoTlax/4Vz93J4entY2g8tF7Ha/owu6b3bm8rg38PGaf1RCyyy2rNtoHuH+129OewL53fJjQ6Har+nmmOEOIY7FgX6M+psHBk389R0w/BvxHq91Yjq0oHeeRC/Em8HlK3EysydnccILdlC7ZXiz/aDdTv+xCbpdHw90I5RAGvIcOgFBcqfh/viCPyTa4aaLuSwM6Mk3VgLza/s1+6jtiQMWwbAmcjRxoUaC1rZqcijksP7Zeb8WyOB1J2/h0ZA/6GFTlqGsxJukeNRhdjv7pAvC/BxvTV/EZBfauXwb+zAX/skaiCOOllszoXqeK0qqEL8e5rL+L5jFQ+BetqZBSZjdLXfYL0x0PZ542zJMkRmrIUv1UOhEwZi1Up4sxvxvPtw/BQsjgTlz+mLngMw/ujD6P15jO61jsxBT20RMoY+dSnEDnclpnjupqdijgu8X7yGTimKUTKA7/gaYR0hxqNrsdedcEPKHplA86PmiwNfu9r9g2ZzRV4L3UTC+LjkbJ6CSL8BkhTsKavEUe+dxyl7/Onjfjo9Wf4F/VH5PJtyHluPAwd+t4If+5dqLKXIVLqemfE2bS25WN9rPngQXsRp/VciJx2s3qJM41tQ9H6mHaXLXbPmtmpnME11OTMZg22nvZ82KhehUSxcWlVY6ltzgVDY9Q2DQ0NqKmp6fD48UfxOvJL2LcyAemVoUiaEQaFvho5McH91xvltNy13JzE/3lwRcdA4Qrlpr+/g6PXBYaPWOXs2bMW1nsNsVv/htd//2v8ki8n0tfkIKYv5v/nk/1Ibs1MTsaZrob08QxarsuhZty6UiqkhgwRAqZvE07c5Gn2VFcoJLDv334Gts7w2drE5RMKhTqe2lMfv5kgBIvraPeYIrxz8Bhf4kfhxLZZQkDISqH0is7w3OYZ5uyHyg37ew5Tbi4KpakT2etYIbPiMnvNy5DTlpubLEtXCiEBI4Tp246zV/3A4esCa3+FJmHF0/ebrZM9xj9l2E7pe5rMfHnzuLBt+oge/Q1xfeb654CZuCh29FbwHvJ0coTF/bp/Tr3cApPj38CuklKUtHtsxH+e2cCPXBvRdPkqX3oghk98HGGoRV7mJ3T0b5E7l5t3ET9WvJubLyJe/xwlGZ7Imp2JfdoBzl1u9DUoyBQHdY9D3MR7+6kntv/1rC6wlhcWZ35qtk72yH8dfnyJdmT3YmLcOED3N2QW2H7nSAr+xHbGm6m07vCmXWvvY5/p1MbSjVbEu6ZtNpnuWGV2z3PzqZNNp0S2gjj9c7vpoYtxvNG0P9C27fPx8YFSqTR7hCBo6lJkz9Uifco4xG7xwfLcRZikkEE2/NeIE+/0VbkXB0/2Q5e2s3HrcjMUV/a8wJbrGCicudzoT/4TBeKtbcMex0Rp7BPVBWJd0Eq6rbhxynjxMR1peeXs7xjeHjJkiIX1SkPcLTAeYOhQWfBPnLQ1+vMeAImlrgHieBwmn4zdbq3dTyZdax0eI4SohGeEKLO0ti7Cm0JTxQaz9/kjJFkoPHtdWqrzrr7LQkVmbMfPGh9SV19vtq8njF26jnXTFvE7OQR3LzdNx4XC1GmGZUMWCBvK6viyzlpu2n6fkNRS4YpZWseHO9UFImO+mq7PsM6ozDLBpttYGU+bBSwWCuu6Pech/T1zdORPbNZy7hTE4zcoh2GI8falrYxTIP8LKukqDR2qiv+NCWZplQeO4YK4uL4GH68SB4eKAz3/jrLaM9BUlbDW9Fi22E6s2NTNPRG0ldgpTv8sfj5jD6o0Z1Bb9iHiO9yK1aiH29cjXhiiFLt2zeeuICK3LzdewYh9fZdhfpBj7yN5vB/vgnXWcnMN576vYf/K2dHqPXyAtil3rguYFg2+/bSWPXkUGSXfsXzXoEr1ouGqsS27cEhrw6F762XnNfj+nG29RBT8iY1acElzilVTjKVJlcJmYO4kcYplBe4bO9owQVNrmjfGPPofECdvNmrtNvSZiUWL+NSsYiX5pwREsqe6gi+g7mInaflOjU/Fa2HFz88ZJVVAMr9HsWjh49L7HfRw+3rGA3d6D5KeNRzV4JL0jBhQuemcs5Yb44RsncyO6tZ5ysjkGBQornU/0qc8hbQcFT7XjMBq8f4xxzIQYXp6wFoyT3jffTt7Yvs8MTb8VUKs0Fqxy+Cp8GbVgmlaR/qmBmjEJ+OGwd90mkTfQIwS9zxdAxqvWtFCbvd5D/bxYZZ33B5uH+knVG5cj7vnqSwY87Zs45d1i3eBTUZyciJiJ4zm4wsMi/U3KrLEIcju9EGg+OTQKZwz7e+8pMFR8TBR7gNvz86Lq+XPmxxl3iLywd50fwc7onLjelwxT2V+DyN5axk0tYeg2rQR2W+J89XoUJXzZ7z9ZW/6eGy/dTUFf2Ijk5b0hUY09bL1KrtnFCaL5+QaduCdd74ytIabq6F6+30Us6fyuMcQ3kX3mGxwEEaLPWvi57cfhTgLtr5+P97ZvFd6v3+1oKnR0BVHN3cyR+Wmc85aboxTlV9nWXq1dxPPMK6Vp+xvS5Py/BKBIxcip8YT4dNjERv5Hxh1r7iR4o3rxAmCekh/FY0XrrMncvgqbJlZlv1O/F9CeszjvnA8IZbfmlM42+4yHRt43Y/fvzwXoTiH4vVPS1MnB4ZOQXLet6x8z8CaxQ+zNm4XFA9jMZ85sjg9CqFsZwua8AxyqsSTf/2tGWdrTrN/g/DE2EAW7ogpKjedcdZy44n7xj7IfkMdamrqpGDbKy6VpyzIGqemb52+Xvw+T0r3u4E8FnMeG8KX7IHmOvZbi59/EGPvs62ZSMGf2M444lR3ErXnrbz+tlMD4BfxotnUyXKEzl0LVek6xPoP4GmdGQD/mBXIN50eOmULcjOmSa/6lf7fqD1ykT0Rb0rVceyz26NyY5nTlhtZ643XdEdqcb63h/6ulKcSC1PTS9/nNeQWLbdpwJ/+fC2OiG0Zi1fMWIlf8iexdC0gcTyOk0/GKUkd67rkW854/XF/TV1rJSo3Ds6Zy41xylkrrzsnvWGco8D6uQfoOn/SxwZCGfcHzJU34GD5SbozmUQP7XE1DiIIc5dNg5L2MAuo3HTk5OVGpkTcst+x49lKlB9v5InEPhpxvLwSkP8Oy+KUNnffU9VEekfxEOJfehS6gkJ8ca63XbguwDjHeVgi4if58kTSAZWb9py+3MigmDQbL4VdRMGOAzjX665/0hl9zSfIzLuIsJdmt59CuId+Jh7+8+fSQARx1ini2CifiC2o3BBbULlxfpbykI78CSGEEDfTeuQvtgwIIYQQ4nrMj/yp298JUT4RW1C5IbagcuP8LOUhdfsTQgghboaCPyGEEOJmKPgTQgghboaCPyGEEOJmKPgTQgghboaCPyGEEOJmKPgTQgghboaCPyGEEHKr6c9hX/p06Zr8wJEJyC6vhz1vkUDBnxBCCLml9NB+uRlLLyTg61oNqvLvx+5XP8NJO0Z/Fw/+jVBnPYnARBXqeQpxBjdQr85HWnSwoRXMHiMTM6FSd90S1teXIy+Nt5x56zlLpUZ964dsWy9xFr3NXz2a1dmIDlwCVX0LTxNRuekr3e+jlvwAVeKYts8YH2GZUPNssm29faC5HFnRE5Co+oEnGPR8e2RQRGSgcnMs/GUyeN6pwAD+jt2I0/saWbrhv/O6Ihzf9kchhH2ngIRCoY6nugLXyicLrpQKqSEjhKjUQuFE001BuHlWKF05jX3vWcK2Ez/yhcw0lQmZUSOEkIR3hbK66yzhinCicKUQFcDWk1kmNInL2LJeF0Llpis3habjuUJCCKsvAhYLhXU/8XSGyg1/1kvW7KOW8N9/+rbjLJcsuSiUpk4UAqJWCoUnrrDX14W60lel9Xb+mT7Q9C9hW8J49vuMFhIKNTxR1M32/FQhZN4vljPTh8k6pPK1WFhZerbPtt1SHrrkkb+h1fUs1t0IQ5wPTyROQg+t+gsU6MZhZnw0lF6siMr8MWnuDIThCA4cvciXM8U+c2gXtlQFIWnRHIz3E9vMCihjk/Hy3LtQtWUXDmlbbFgvcR62lBtOXw913krMWncZD8cF80SjXqyXmLBmH7V8WKw/X4sjurswOugXlruqtf/C3oKLCJs5GzFKBUsYAL9JT2FmGFB54BguGJbqQ7wnaNa7uPHwZHQIMd1tj0c4UirPSHPttz0OY2tsgPhhVOdmYsewZ/FihL9du+btue5b5AcUvbIY+bctwGvxE+DLU4mzuIrvvv0GOvlwBA1u6/iSDR2DyT4NOFh+ku0e5gxdZsc0e5AS7sXTRAOh8JUDugY0Xm22Yb3EedhSbkQtqC96DbH5d2DZa3MQ5uvB041sXS9pz5p91FLw16P57CnUsKbW+BBvntZey3dqfGreOJANwZjJQcBBNY530qiwWf1uvBK7A7ctS0V82GCe2Mbm7Wk+ipzEp7AO87E+fhRMfyV7cMHg/3OMWvRXfJwxBX4u+O1c3zVoL+mA272h8DTJQJkcgwLl0J1vZNWxlfRncbi0FvAZhkBfduTfV+slDsjWciOD16gklHycigjpaNRcH5ZH0lG7fdS84SUyNr4u4pOXH+bn0IMRnZYPdf0N9r4eV7WNuA45fBUDDR+ReODOQezQr9NGxTXU5CxEYs5RNPMUA3bknbMEcTnVbM2d8BqNRSX5yLB4ZN6L7fl4NdKLj6I4PQqh4vc0GdNgDx233ekpoAwfbvdWE7GXH9F43sKxlMwT3nffzl9Ygx0xVO7BjkogbOkTCPPoq/USx2Rr/rLgrxxj6M63iMqN/ZjvozzZlLFxgEF4ZMXnvIu8HBuU/8Ds+M1QN7fgamMDWPPMDAu23oP4c0sGQjkvHXNOrcbS1gaAGPhT8cKpJ/HOvODOg6PXcIRL3fmWsOBv6/bE55ucBmCPymUIt/Sb9BEXDP6EMM0VeC91E05PXYvNXe3IhJBbw5p9VBaM+KJqaI5tRnywMeAqEBwdjYlVm7Dq4xrc5Kk9JvNHxKp1hgbAB5+hJPtFKfBvWeUevcZUJxIHcwe8B1toVeuvovHCdf6iG+K5s6WLkYXFyF8fA3+plPfBeokDs1f+UrmxC4v7aE/poLl8FXd4+0DOU9q0oKnxMn/eBbEBkP48RmUnYv4HI7AqvbeBXwbP3mxPP6LgTxwMHwB0vRFa03Njeh0ua3SQD/aGJ0+yRF//FbKXzkf6mRjk5ixEeGt3bu/WSxydvfKXyk1f63wftcVt8FR443bWELikvcbTRCzYXr4EyH3gbTpWw5w4q17GmziavBXbFpzAqoySXs4NwIJ/b7anH1HwJw7GE/eNfRBy3UnUnhcH9Bjovz+M0gY5lMp7OhnPoUdzdR6SJj+N9VKl8qLZAC5b10ucg73yl8pN3+luH7VAuw9pI3+JkWn72l1VoW9qxAUE4YmxgRh4XziekF/Ekdp/s7/AGccKKIdhSGeNCzHwr3oB24el4q0F0ZiS/AbWDStE0qreNQA8bN2efkbBnzgYGRThjyFOvh9r136E6ma2+zRXoyhnJyrl0VgQOdRiodWfK8Ly2BUoxgxkf2CpUrFtvcRZ2Ct/qdz0le73UQsUYZiRNB66gh0oqObhnwXtL/N2ombqciye5MuW+RUej7sLlWuzkCsto0VNUT52VP4cUxc8huEWM+gaanIzDIG/9bI6BYLjV0sNgEW5XYz2745N23ML8Ml+JH02k5OjMM6kRDP8OZnrQl3FdiE1agSf/Yo9olKF3Iq6thmv2uVtk1CRGdm2bIdHpJBZIc4fZsV6XZj4fV1bT8uNOWM5Mpvhj8oNf9Yb1u6jFvLgZp1QUfgmn31RfIwXEjKLDbMtcjfryoTcVHHWReMy04TU3DKhzs4Z9FPFm8L9HWb4u3Xb0xlxG8z9TPwfbwdI11CKlxgQx0b5RGxB5YbYgsqN87OUh9RjRQghhLgZCv6EEEKIm6HgTwghhLgZCv6EEEKIm6HgTwghhLgZCv6EEEKIm6HgTwghhLgZCv6EEEKIm6HgTwghhLiZ1hn+xBmACCGEEOJ6zGf4o+l9nRDlE7EFlRtiCyo3zs9SHlK3PyGEEOJmKPgTQgghboaCPyGEEOJmKPgTQgghboaCPyGEEOJmKPgTQgghboaCPyGEEHKr6c9hX/p06bK8wJEJyC6vh56/ZQ8U/AkhhJBbSg/tl5ux9EICvq7VoCr/fux+9TOctGP0d8ngr68vR14ab0HxVlSWSo16ezajSB+6gXp1PtKig1vzcGRiJlTqrlvC3ee7beslzqN3+74ezepsRAcugaq+hadx9SokGtdp8gjLUsNsSdKV5hqUZCVgJP/9ut3/OvndjY/W3/9W5U9zObKiJyBR9QNPMOh5OZRBEZGBys2x8JfJ4HmnAgP4O3YjzvBnFBAwhD9zYk1lQmbUCCEk4V2hrO46S7ginChcKUQFjBCiMsuEJsNSTs0l8qkrV0qF1BCWX6mFwommm4Jw86xQunIa+96zhG0nfuQLmbEm321Zrwtx+XIjXBRKUycKAVErhcITV9jr60Jd6atSGZi+7bjAcrwLN4Wm47lCQsgQ9jstFgrrfuLpopus6KwUQtyknJjrs3Jz87RQ+MfxbfnTuv/FCpkVl/lCVuD7ekDUq0KptK/fovxp+pewLYF9n4DRQkKhhieKelMOGel3WSysLD3b/bJWspSHLnbkr4f20C5sqQpC0qI5GO8ntp0UUMYm4+W5d6Fqyy4c0tIxnmNjeaj+AgW6cZgZHw2lFyuiMn9MmjsDYTiCA0cv8uVMWZPvLTaslzgV7b+wt+AiwmbORoxSwRIGwG/SU5gZBlQeOIYLhqU60tdDnbcSs9ZdxsNxwTzR1A2crz0JnXw4ggbb/XjMZelPfoEPdl9pyx+2/0UsSkAkyvHh/lNWHqHfwLnPt7N9/S7MfXkhIqR9vb/zh/cgznoXNx6eDB+e2qq7ctiiRlZY+x6KwMAxvPdAi+rcTOwY9ixejPC3a9e8iwV/Q9fJMc0epIR78TTRQCh85YCuAY1XKfg7tqv47ttvOuzIsqFjMNmnAQfLT7Ldw5w1+d5sw3qJM2n5To1PdXdhdNAv2io22RCMmRwEHFTjuMWGfwvqi15DbP4dWPbaHIT5evB0U804W3MamBiOEIWLVZn9SKaMR5GmGkXxwbYHHu1X2LRiJzB1ORZP8uWJ/Zw/9bvxSuwO3LYsFfFhg3lim27L4dUwpFSekebab3scxtbfaJGT+BTWYT7Wx4+CaU1mD+5RkvVncbi0FvAZhkCLOzdxHNegvaQDbveGwtOkeMrkGBQoh+58I2seWKldvrMj/75aL3FAelzVNuI65PBVDORpIg/cOYgFiU4b/jJ4jUpCycep/CjSghYNvv20FvKWXXh5pPFIbTrS8sppHFFvNFdD9fb7KJbPwKrf/YrlVHeuoabgPeTpxiMpKQL+xt3Ypvxh68pZiMSco6zpYIodeecsQVxOdefjELxGY1FJPjIsHpnbWg7Z9ny8GunFR1GcHoVQ8TuEZUJtxwELbhD89Wiu3IMdlUDY0icQRrHfwf2IxvMWjsFlnvC++3b+whrm+d5X6yWOiVW6jQ1gzTszrNL1HsSfW8KCv3KM4TRQJ/TfH0ZpA3viEYEV5RrDkVrVX6Dcn4L4DeVmwYN0Twy8sxEYOgXJeecR+ezv8FBnDS9TzUfwyY5DbIf+L0wL8+aJtubPQCjnpWPOqdVY2toAEAN/Kl449STemddF74TXcIRL3fmW2FoO2fbE55v0BLBH5TKE2zFeuX7wb67Ae6mbcHrqWmzuKkOJa6F8J33E0F19Bse2zkWwsZHgFYzoaWGoynoLH9dcM6QRK7UFutqyNfDfPR+TF6lwrsteFOO4Hhb7436N4SY7tM35I445WLXO0AD44DOUZL8oBf4tq6bAzw0qDNf+is1HkbN0MbKwGPnrY9q6iYgDuwPegy20qvVX0XjhOn/RDYv53gfrJQ5MBk9vH8j5qzYtaGq8zJ/bwyVcbqKL/Wwl85uIuTPHQbf7IxSf7KoRxccCYRziJt7bg8DVTf6IDYD05zEqOxHzPxiBVem9Dfy3qhz2nMuGQ339V8heOh/pZ2KQm7MQ4V106xFHwgfpXW+E1vTcmF6Hyxod5IO94cmTLOk833u3XuLoWKWr8MbtLDxc0poGEVbpXr4EyH3gbTrWgzgIY3d4N0HaOH4n7HFMHG56Lr2XxFn1Mt7E0eSt2LbgBFZllPRyHIfzlEMX3Bv0aK7OQ9Lkp7FeCgAvdj6QhzggT9w39kHIdSdRe/4GT2O5Kp3Xk0OpvKeTUbDd5but6yXOwuO+cDwhv4gjtf9mpYEzBg3lMAyx6QBAD+2+dIwMfARp+1jl3YofyckfxNj7qNnYve5+xxAM7aqevnAMByp18Jk8BkPbZWMv8kcM/KtewPZhqXhrQTSmJL+BdcMKkbSqdw0A+5TDvudywV9/rgjLY1egGDOQ/QEFfucjgyL8McTJ92Pt2o9Q3cx2n+ZqFOXsRKU8Ggsih1ostN3nu23rJU5E8Ss8HncXKtdmIbdaHNypRU1RPnZU/hxTFzzW7jyx9Vi5GTcdSaEXUbD9fw3lhtHXH0TejtOYuiYRk+jyPytY+h1Zg73mM+TsOILQpDn4jX/ndXXLuVM4BB+MG3oX2o+BszV/rqEmN8MQ+Fsvq1MgOH611ABYlNvFaP/u2KUc2gGf7Efi/DOANQkVmZHS97D8iBQyK5x/jj/xu7i260JdxXYhVZzFy5h3UalCbkVd24xXP1UImfez9IRCoc7qfLdivS5M/L6u7mZdmZCbKs4aZ8z7aUJqbplQZ8zgduXGnLEcmc/wJ663QijMXCCEGNcbskDI/PyES8wY2p2+LDfd/46W8+CnijeF+wMmCqmlF3lKe7cqfwzbZT7DnxXlsJ9ZysOfif/j7QDp+khxBCZxbJRPxBZUbogtqNw4P0t5SP1VhBBCiJuh4E8IIYS4GQr+hBBCiJuh4E8IIYS4GQr+hBBCiJuh4E8IIYS4GQr+hBBCiJuh4E8IIYS4GQr+hBBCiJtpneFPnAGIEEIIIa7HfIY/mt7XCVE+EVtQuSG2oHLj/CzlIXX7E0IIIW6Ggj8hhBDiZij4E0IIIW6Ggj8hhBDiZij4E0IIIW6Ggj8hhBDiZij4E0IIIW6Ggj8hhBDiCJrLkRX9HFT1LTzBfij4E0IIIbeUHs01e5G1dDGyqm7yNPtyweDPf8TECdKsRoGBE5CYpYK6/gZ/nzi+G6hX5yMtOpjn4S8xMjETKnU9y10rSS1o9vlEFep5Up+slzgw2/JXX1+OvLTprZ8JHJmALJUa9a0fonLT56T9k9XNqh94Qmes+O319VDnpSGav99/dX4j1FlPmtUxjM3bcwfGPr8GKT78pb2J0/saBQQM4c+c182zhcIfQ0YIUamFwommm8LNus+FlVEjhICoDUIFe+0KXCGfunSlVEg1yUOWqULpymnse88Stp34kS/UlctCRWas9DsFJBQKdTy19+t1blRuLGgqEzJZ/RCS8K5QVnedJVwRThSuFKIC2Hoyy4QmcRkqN/xZH2n6l7AtYTxb72ghoVDDEzvR7W9/ky2yUggJmCakFh6X8qu1zp++TTjBPmIfV4Tj2/7I/q5ZHdPd9lyvEDLvZ58RP9f6MPkdfhLfXywU1v1keN1HLOWhix35X8PJ4o+wWzcOM+OjofSSQeb3KBYtfByo+hT7T1zlyxHHpYdW/QUKTPIQMn9MmjsDYTiCA0cv8uU6o0ezOhepWeX8tVFv10scmy35yz5zaBe2VAUhadEcjPcbwNIUUMYm4+W5d6Fqyy4c0rZQuekz/Ch+1ru48fBkdH+Aa02eNkC99wvowmYgPiYYXixF5jcRc2eOAyoP4eiFvj93bugpehbrboQhrsOX6GZ7GsYgpfKMNM9+2+MwtsYGGD7ej9iv6UoGQhmfz37MfMQrB/I04lyu4rtvv4FOPhxBg8XK2EA2dAwm+zTgYPlJaHmaRc0VeC91K7DoOcxtt2P2cr3EwdmSvzIoIjJwTLMHKeFiNW00EApfOaBrQOPVZio3faV+N16J3YHblqUiPmwwT+yKFXnaosG3n9ZCPjoIg1uj2UAMHfMAa1xUovx4I0/rKz+g6JXFyL9tAV6LnwBfntqq37fHdi4W/M2J5/8/wdub90I+9Vn8Lsx0ByeO6Rq0l3TA7d5QeJoUT5kcgwLl0J1vZFVCZxqhfm81spCI1QsjzHbM3qyXOL4+zF/9WRwurQV8hiHQlx35U7npG16jsagkHxkR/lYGHivy9KoWl66zRXwV8ORvi2R3+iCQNcvON/7IU9rT1+QgLjEP1c2mozZYvKjOQ2JcDmo6Hczxc4xa9Fd8nDEFfpa+hI3bcytYlwfOSF+NnJiRCJ2yBHmnH8GzCQ9ZziziYH5E43kLx1IyT3jffTt/YYmxux9IWT0P4V638XQjW9dLnENf5S8rR5V7sKMSCFv6BMI8qNz0Ga/hCFcq+AtrWPHbX23EedY+MCe70xt38+eWyJSz8M6c03hhaT5vAIiBPx9LXziNOe/MgrLTWKGAMny41J1vkY3b08ojHCmVGxHr58ET7Md1w6EsGPFF1dBoTqHs3aHYPSMGi1QalsXEJRm7+1NS8Ydwb55ISA9J5WgTTk9di83zgl29a9SNDYBfxIvYIjUAtqKk5B1D4N/yIiKksR+uzw3KNsvkSU9hZtgV7P7gC5yk6O/g7oD3YAtHB/qraLxwnb8wZ9Ld/4cHOmmV27Je4jz6IH+bjyJHvM4ai5G/Pgb+Uu1I5ebWseK39/TGYLnhqSl9UyMu8OedExsAS7Fq1E7Mn78Lo1Yt7X3g79X29C/3aNgau4k0DWii4O/g+GCr643QXjXJLL0OlzU6yAd7tzuXJmk5hf0flgNVbyA2NNBwbe2wGGQ1sPeKl2BC4BKo6j16vl7iRGwoNyb09V8he+l8pJ+JQW7OQoSLI8slvVsv6Q0rfntPBXxZ1X79krbd2At9UwM0UGCw9x08xZIbqN/3FlYdnYFt26bj6Kq3sK+3cwP0anv6l4sF/0vYl/YIAkemY5/WtLAYWoryh4bReX+H54n7xj4Iue4kas+37Yj67w+jtEEOpfKejkf20nkys8tnThUZJsuI3IgyjXgOTdHz9RInYkO5kRgGeSVNfhrrpcBv3u1r63pJ71nx23sEYuwTQdAdqcX51ir/Gr4/XIEG3AvlkM5yRwz8byBp+71Y91YipkxZhLfW3YvtSW/0rgFg8/b0PxcLhT4YN+NphOo+w/aCY2iW0rSoKcrHjspQJCVF8K484rhkUIQ/hjj5fqxd+5FhME5zNYpydqJSHo0FkUNtLLT2Wi9xDLblr/5cEZbHrkAxZiD7A0vne6nc3DrW/PY+CH/8Mcgr38Ha3KOszmeNuZrPkLPjEORTn0LkcMuXfOtr/geLpMA/G8FSL48MXsGzDQ2ARf/TxWj/7ti2PbcEn+xH0uczOd0S14W6ikIhU5pByjCDUkjCBuHzE1f4+87PNfKpK2IebhdSxVmxeB4GRKUKuRV1QuuEXdJMWCy93exaJiy+b8V6XRiVG6ZduWgSKjIj25bt8IgUMivEOdqo3PS1nyreFO63MMNfx3QrfvubdUJFbqoQZXxfnJ0xdbtQIc3YaEed1UG3anu6YCkPfyb+j7cDpHOlYpcpcWyUT8QWVG6ILajcOD9LeUg9VoQQQoiboeBPCCGEuBkK/oQQQoiboeBPCCGEuBkK/oQQQoiboeBPCCGEuBkK/oQQQoiboeBPCCGEuBkK/oQQQoibaZ3hT5wBiBBCCCGux3yGP5re1wlRPhFbULkhtqBy4/ws5SF1+xNCCCFuhoI/IYQQ4mYo+BNCCCFuhoI/IYQQ4mYo+BNCCCFuhoI/IYQQ4mYo+BNCCCFuhoI/IYQQ4mYo+BNCCCFuxsWDvx7N6mxEB45BouoHnkYc3w3Uq/ORFh0szUwlPkYmZkKlrmc52hXzz01AYvZXqG/9kK3rJc5CX1+OvLTprfkbODIBWSq1SRnoyKrP1KuQaHzf5BGWpUYLX4QQZ+Lawb+5Au+lbkIVf0mchPYrvD07AxUPrEVJlQaa2jK861+K5NjnkVtzjS9kTmzobUb87H9AuaEcGs0plOXG4Mz6+Yhnr5vFRWxaL3Eel/Dl2ylIqxiL7JIqQxl4dyj2JP8eSbnVlht4zeXYED8Hq88/gZ1lp9hnqlCyZoj0mdZywz6pPa7GQTyKjJLvpGlSjY/KlHB4SMsQ4lxcOPg3Qv3eamRV6fhr4hxYRav+AgW6cZgZHw2lFyuiMn9MmjsDYTiCA0cv8uXM6Gvw8apNOB03E3HBCpYwAH4RC/Hy3LtQ9eE/cKLFxvUS56H9F/YWXETYzNmIUfIyMOkpzAwDKg8cwwXDUiZYmTi0C1uqgpC0aA7G+w1gaQooY5MN5WbLLhzSik2GGzhfexI6+XAEDRaXIcT5uWjwF48Cc5GaBSxKmQkfnkqcwVV89+03HSpa2dAxmOzTgIPlJ6Hlaab0J/+Jgsq7EPf4r1j1beSLiNcPQFO5DOEetq2XOI+W79T4VHcXRgf9oq1ikw3BmMlBwEE1jkuB3JQMiogMHNPsQUq4F08TDYTCVw7oGtB4VfxMM87WnAYmhiNE4cLHS8StuGZJlrr7twIpqVj4qD9PJM7hGrSXdMDt3lB4mhRPmRyDAuXQnW9kzYOO9E0N0EAO78ZDyE6cwM/JTkdaXjk/d2vbeomz0OOqthHXWRnwVQzkaSIP3DnI1ySQW0F/FodLawGfYQj09WCtCg2+/bQW8pZdeHmk8Xy/adkixPm4YPDn3f1IxOo/PADT9jxxBj+i8byFY3CZJ7zvvp2/MNeCS5pTaMBRvL3iI+CPRajVnEFt2VLclp/Az93asl7iPFjwb2xAx5N8LPh7D+LPraFHc+Ue7KgEwpY+gTAW+/XfH0ZpA3vLIwIryjWG8/1Vf4Fyf4rJuABCnIuLBf+27v6U1fMQLp7XJW7EH1PX/BlLxvtJBVvmNxFzZ442OXdLSDf4IOHTU9di87xgQzlSxqOIBfxjW+ci2FineAUjeloYqrLewsc0WJQ4IdeKjibd/X8I9+aJxLncAe/BbWftW+mvovHCdf7CnAye3j6QYxCCA31MCjU/6tN9g2+/E2xYL3EexjJgrgVNjZf58240H0XO0sXIwmLkr4+Bv1W14yVcbqKL/Yjzcang33LiH/iwqoG1xp9EKL8Od1hsJhrYf8XJv0Zgogr1fFniqPhgq+uN0Jqeo9XrcFmjg3ywNzx5UhsZvIYMg5K/6sgXg+70smG9xHmw4K/wxu3Q4ZLW9EicBf/LlwC5D7xNx3qY0dd/heyl85F+Jga5OQup15C4PJcq4R7hy1DJr781Pk6plsGH/ReZ/U9otsbCjy9LHJUn7hv7IOS6k6g9f4OnscpZOu8qh1J5j8VxHLLBQRgtr0Xp4bNoC+38qE8a4e9t03qJ8/C4LxxPyC/iSO2/28qAcfCechiGWAzoejRX5yFp8tNYLwX+FxEhXfJnpId2XzpGBj6CtH2sEdHKWLYexNj7qNlInA81b4mDkUER/hji5Puxdu1HqG5m1XhzNYpydqJSHo0FkUMtF1rFw1i8Jho1a99B0TkxuLNKveYz5Ow4jalrEjFJ4WHbeonzUPwKj8fdhcq1WcitFgd3alFTlI8dlT/H1AWPYbiFDNafK8Ly2BUoxgxkf2Ae+EWsPI6bjqTQiyjY/r+GcsPo6w8ir7VsUckhTkgwERAwhD9zHT9VvCncHzBaSCjU8BTn54r51N51oa5iu5AaNUL6rtIjKlXIragTbvIlWMYKmfez9IRCoY4nCcIV4cTnG4SEEP6ZkAVC5ucnhCb+rlXrdWHi93V1N+vKhNzUaW35GzBNSM0tE+qMGdyu3DQJFZmRJsuaPyKFzApD6blZVyEUZi4QQozvdShbrkv8vsS5WcrDn4n/4+0A6Ry52FVOHBvlE7EFlRtiCyo3zs9SHlJ/FSGEEOJmKPgTQgghboaCPyGEEOJmKPgTQgghboaCPyGEEOJmKPgTQgghboaCPyGEEOJmKPgTQgghboaCPyGEEOJmWmf4E2cAIoQQQojrMZ/hr930voQQQghxfdTtTwghhLgZCv6EEEKIm6HgTwghhLgZCv6EEEKIWwH+P1XqY8thbH/cAAAAAElFTkSuQmCC"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Distinguish between a sigma and pi bond.</p>
<p><img src="data:image/png;base64,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"></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>Identify the hybridization of carbon in ethane, ethene and ethyne.</p>
<p><img src="data:image/png;base64,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"></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>State, giving a reason, if but-1-ene exhibits cis-trans isomerism.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the type of reaction which occurs between but-1-ene and hydrogen iodide at room temperature.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain the mechanism of the reaction between but-1-ene with hydrogen iodide, using curly arrows to represent the movement of electron pairs.</p>
<div class="marks">[4]</div>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State, giving a reason, if the product of this reaction exhibits stereoisomerism.</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>Deduce the rate expression for this reaction.</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>Deduce the units of the rate constant.</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>Determine the initial rate of reaction in experiment 4.</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>Deduce, with a reason, the mechanism of the reaction between 2-chloropentane and sodium hydroxide.</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>Discuss the reason benzene is more reactive with an electrophile than a nucleophile.</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>Sigma (σ) bond:</em></p>
<p>overlap «of atomic orbitals» along the axial / intermolecular axis / electron density is between nuclei<br><em><strong>OR</strong></em><br>head-on/end-to-end overlap «of atomic orbitals» ✔</p>
<p> </p>
<p><em>Pi (π) bond:</em></p>
<p>overlap «of p-orbitals» above and below the internuclear axis/electron density above and below internuclear axis<br><em><strong>OR</strong></em><br>sideways overlap «of p-orbitals» ✔</p>
<p> </p>
<p><em>Accept a suitable diagram.</em></p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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" width="473" height="69"></p>
<p><em><br>All 3 required for mark.</em></p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>no <em><strong>AND</strong> </em>2 groups on a carbon «in the double bond» are the same/hydrogen «atoms»</p>
<p><em><strong>OR</strong></em></p>
<p>no <em><strong>AND</strong> </em>molecule produced by rearranging atoms bonded on a carbon «in the double bond» is the same as the original ✔</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«electrophilic» addition ✔</p>
<p> </p>
<p><em>Do not allow nucleophilic addition.</em></p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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"></p>
<p>curly arrow going from C=C to H of HI <em><strong>AND</strong> </em>curly arrow showing I leaving ✔</p>
<p>representation of carbocation ✔</p>
<p>curly arrow going from lone pair/negative charge on I<sup>–</sup> to C<sup>+</sup> ✔</p>
<p>2-iodobutane formed ✔</p>
<p> </p>
<p><em>Penalize incorrect bond, e.g. –CH–H<sub>3</sub>C or –CH<sub>3</sub>C once only.</em></p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>yes <em><strong>AND</strong> </em>has a carbon attached to four different groups<br><em><strong>OR</strong></em><br>yes <em><strong>AND</strong> </em>it contains a chiral carbon ✔</p>
<p><em><br>Accept yes <strong>AND</strong> mirror image of molecule different to original/non-superimposable on original.</em></p>
<div class="question_part_label">b(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«rate =» k[NaOH][C<sub>5</sub>H<sub>11</sub>Cl] ✔</p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>mol<sup>–1 </sup>dm<sup>3 </sup>s<sup>–1</sup> ✔</p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>ALTERNATIVE 1:</strong></p>
<p>«k = » 1.25 «mol<sup>–1 </sup>dm<sup>3 </sup>s<sup>–1</sup>» ✔</p>
<p> </p>
<p>«rate = 1.25 mol<sup>–1 </sup>dm<sup>3 </sup>s<sup>–1</sup> × 0.60 mol dm<sup>–3</sup> × 0.25 mol dm<sup>–3</sup>»</p>
<p>1.9 x 10<sup>–1</sup> «mol dm<sup>–3 </sup>s<sup>–1</sup>» ✔</p>
<p> </p>
<p><strong>ALTERNATIVE 2:</strong></p>
<p>«[NaOH] exp. 4 is 3 × exp. 1»</p>
<p>«[C<sub>5</sub>H<sub>11</sub>Cl] exp. 4 is 2.5 × exp. 1»</p>
<p>«exp. 4 will be » 7.5× faster ✔</p>
<p>1.9 x 10<sup>–1</sup> «mol dm<sup>–3 </sup>s<sup>–1</sup>» ✔</p>
<p> </p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<div class="question_part_label">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>S<sub>N</sub>2 <em><strong>AND</strong> </em>rate depends on both OH<sup>–</sup> and 2-chloropentane ✔</p>
<p><em><br>Accept E2 <strong>AND</strong> rate depends on both OH<sup>–</sup> and 2-chloropentane.</em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>delocalized electrons/pi bonds «around the ring»<br><em><strong>OR</strong></em><br>molecule has a region of high electron density/negative charge ✔</p>
<p>electrophiles are attracted/positively charged <em><strong>AND</strong></em> nucleophiles repelled/negatively charged ✔</p>
<p> </p>
<p><em>Do not accept just “nucleophiles less attracted” for <strong>M2</strong>.</em></p>
<p><em>Accept “benzene <strong>AND</strong> nucleophiles are both electron rich” for “repels nucleophiles”.</em></p>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<br><hr><br>