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<h2>HL Paper 2</h2><div class="specification">
<p>Vanadium has a number of different oxidation states.</p>
</div>

<div class="specification">
<p>Electrode potentials for the reactions of vanadium and other species are shown below.</p>
<p style="text-align: center;"><img 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"></p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine the oxidation state of vanadium in each of the following species.</p>
<p><img src="images/Schermafbeelding_2017-09-20_om_09.58.14.png" alt="M17/4/CHEMI/HP2/ENG/TZ1/03.a"></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>Identify, from the table, a non-vanadium species that can reduce VO<sup>2+</sup>(aq) to V<sup>3+</sup>(aq) but no further.</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>Identify, from the table, a non-vanadium species that could convert <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{VO}}_2^ + {\text{(aq)}}">
  <msubsup>
    <mrow>
      <mtext>VO</mtext>
    </mrow>
    <mn>2</mn>
    <mo>+</mo>
  </msubsup>
  <mrow>
    <mtext>(aq)</mtext>
  </mrow>
</math></span> to V<sup>2+</sup>(aq).</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>Formulate an equation for the reaction between VO<sup>2+</sup>(aq) and V<sup>2+</sup>(aq) in acidic solution to form V<sup>3+</sup>(aq).</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>Comment on the spontaneity of this reaction by calculating a value for <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta {G^\theta }">
  <mi mathvariant="normal">Δ</mi>
  <mrow>
    <msup>
      <mi>G</mi>
      <mi>θ</mi>
    </msup>
  </mrow>
</math></span> using the data given in (b) and in section 1 of the data booklet.</p>
<div class="marks">[3]</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><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{V_2}{O_5}:{\text{ }} + 5">
  <mrow>
    <msub>
      <mi>V</mi>
      <mn>2</mn>
    </msub>
  </mrow>
  <mrow>
    <msub>
      <mi>O</mi>
      <mn>5</mn>
    </msub>
  </mrow>
  <mo>:</mo>
  <mrow>
    <mtext> </mtext>
  </mrow>
  <mo>+</mo>
  <mn>5</mn>
</math></span><br><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="V{O^{2 + }}:{\text{ }} + 4">
  <mi>V</mi>
  <mrow>
    <msup>
      <mi>O</mi>
      <mrow>
        <mn>2</mn>
        <mo>+</mo>
      </mrow>
    </msup>
  </mrow>
  <mo>:</mo>
  <mrow>
    <mtext> </mtext>
  </mrow>
  <mo>+</mo>
  <mn>4</mn>
</math></span></p>
<p> </p>
<p><em>Do </em><strong><em>not </em></strong><em>penalize incorrect notation twice.</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>H<sub>2</sub>SO<sub>3</sub>(aq)<br><em><strong>OR</strong></em><br>Pb(s)</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Zn(s)</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{V}}{{\text{O}}^{2 + }}({\text{aq)}} + {{\text{V}}^{2 + }}({\text{aq)}} + {\text{2}}{{\text{H}}^ + }({\text{aq)}} \to {\text{2}}{{\text{V}}^{3 + }}({\text{aq)}} + {{\text{H}}_{\text{2}}}{\text{O(l)}}">
  <mrow>
    <mtext>V</mtext>
  </mrow>
  <mrow>
    <msup>
      <mrow>
        <mtext>O</mtext>
      </mrow>
      <mrow>
        <mn>2</mn>
        <mo>+</mo>
      </mrow>
    </msup>
  </mrow>
  <mo stretchy="false">(</mo>
  <mrow>
    <mtext>aq)</mtext>
  </mrow>
  <mo>+</mo>
  <mrow>
    <msup>
      <mrow>
        <mtext>V</mtext>
      </mrow>
      <mrow>
        <mn>2</mn>
        <mo>+</mo>
      </mrow>
    </msup>
  </mrow>
  <mo stretchy="false">(</mo>
  <mrow>
    <mtext>aq)</mtext>
  </mrow>
  <mo>+</mo>
  <mrow>
    <mtext>2</mtext>
  </mrow>
  <mrow>
    <msup>
      <mrow>
        <mtext>H</mtext>
      </mrow>
      <mo>+</mo>
    </msup>
  </mrow>
  <mo stretchy="false">(</mo>
  <mrow>
    <mtext>aq)</mtext>
  </mrow>
  <mo stretchy="false">→</mo>
  <mrow>
    <mtext>2</mtext>
  </mrow>
  <mrow>
    <msup>
      <mrow>
        <mtext>V</mtext>
      </mrow>
      <mrow>
        <mn>3</mn>
        <mo>+</mo>
      </mrow>
    </msup>
  </mrow>
  <mo stretchy="false">(</mo>
  <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>
</math></span></p>
<p> </p>
<p><em>Accept equilibrium sign.</em></p>
<p><strong><em>[1 mark]</em></strong></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="{E^\theta }\ll  =  + 0.34{\text{ V}} - ( - 0.26{\text{ V}})\gg  =  + 0.60{\text{ }}\ll {\text{V}}\gg ">
  <mrow>
    <msup>
      <mi>E</mi>
      <mi>θ</mi>
    </msup>
  </mrow>
  <mo>≪=</mo>
  <mo>+</mo>
  <mn>0.34</mn>
  <mrow>
    <mtext> V</mtext>
  </mrow>
  <mo>−</mo>
  <mo stretchy="false">(</mo>
  <mo>−</mo>
  <mn>0.26</mn>
  <mrow>
    <mtext> V</mtext>
  </mrow>
  <mo stretchy="false">)</mo>
  <mo>≫=</mo>
  <mo>+</mo>
  <mn>0.60</mn>
  <mrow>
    <mtext> </mtext>
  </mrow>
  <mo>≪</mo>
  <mrow>
    <mtext>V</mtext>
  </mrow>
  <mo>≫</mo>
</math></span></p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta {G^\theta } = \ll  - nF{E^\theta } =  - 9.65 \times {10^4}{\text{ C}}\,{\text{mo}}{{\text{l}}^{ - 1}} \times 0.60{\text{ J}}\,{{\text{C}}^{ - 1}} = \gg  - 57\,900{\text{ }}\ll {\text{J}}\,{\text{mo}}{{\text{l}}^{ - 1}}\gg / - 57.9{\text{ }}\ll {\text{kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}\gg ">
  <mi mathvariant="normal">Δ</mi>
  <mrow>
    <msup>
      <mi>G</mi>
      <mi>θ</mi>
    </msup>
  </mrow>
  <mo>=≪</mo>
  <mo>−</mo>
  <mi>n</mi>
  <mi>F</mi>
  <mrow>
    <msup>
      <mi>E</mi>
      <mi>θ</mi>
    </msup>
  </mrow>
  <mo>=</mo>
  <mo>−</mo>
  <mn>9.65</mn>
  <mo>×</mo>
  <mrow>
    <msup>
      <mn>10</mn>
      <mn>4</mn>
    </msup>
  </mrow>
  <mrow>
    <mtext> C</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>
  <mn>0.60</mn>
  <mrow>
    <mtext> J</mtext>
  </mrow>
  <mspace width="thinmathspace"></mspace>
  <mrow>
    <msup>
      <mrow>
        <mtext>C</mtext>
      </mrow>
      <mrow>
        <mo>−</mo>
        <mn>1</mn>
      </mrow>
    </msup>
  </mrow>
  <mo>=≫</mo>
  <mo>−</mo>
  <mn>57</mn>
  <mspace width="thinmathspace"></mspace>
  <mn>900</mn>
  <mrow>
    <mtext> </mtext>
  </mrow>
  <mo>≪</mo>
  <mrow>
    <mtext>J</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>
  <mo>−</mo>
  <mn>57.9</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>spontaneous as <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\Delta {G^\theta }">
  <mi mathvariant="normal">Δ</mi>
  <mrow>
    <msup>
      <mi>G</mi>
      <mi>θ</mi>
    </msup>
  </mrow>
</math></span> is negative</p>
<p> </p>
<p><em>Do <strong>not</strong> award M3 as a stand-alone answer.</em></p>
<p><em>Accept “spontaneous” for M3 if answer given for M2 is negative.</em></p>
<p><em>Accept “spontaneous as </em><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{E^\theta }">
  <mrow>
    <msup>
      <mi>E</mi>
      <mi>θ</mi>
    </msup>
  </mrow>
</math></span><em> is positive” for M3.</em></p>
<p><strong><em>[3 marks]</em></strong></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.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.ii.</div>
</div>
<br><hr><br><div class="specification">
<p>Magnesium is a group 2 metal which exists as a number of isotopes and forms many compounds.</p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Magnesium ions produce no emission or absorption lines in the visible region of the electromagnetic spectrum. Suggest why most magnesium compounds tested in a school laboratory show traces of yellow in the flame.</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>(i) Explain the convergence of lines in a hydrogen emission spectrum.</p>
<p>(ii) State what can be determined from the frequency of the convergence limit.</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>Magnesium chloride can be electrolysed.</p>
<p>(i) Deduce the half-equations for the reactions at each electrode when <strong>molten</strong> magnesium chloride is electrolysed, showing the state symbols of the products. The melting points of magnesium and magnesium chloride are 922K and 987K respectively.</p>
<p><img 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" alt></p>
<p>(ii) Identify the type of reaction occurring at the cathode (negative electrode).</p>
<p>(iii) State the products when a very <strong>dilute</strong> aqueous solution of magnesium chloride is electrolysed.</p>
<p><img 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" alt></p>
<div class="marks">[5]</div>
<div class="question_part_label">i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Standard electrode potentials are measured relative to the standard hydrogen electrode. Describe a standard hydrogen electrode.</p>
<div class="marks">[2]</div>
<div class="question_part_label">j.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>A magnesium half-cell, Mg(s)/Mg<sup>2+</sup>(aq), can be connected to a copper half-cell, Cu(s)/Cu<sup>2+</sup>(aq).</p>
<p>(i) Formulate an equation for the spontaneous reaction that occurs when the circuit is completed.</p>
<p>(ii) Determine the standard cell potential, in V, for the cell. Refer to section 24 of the data booklet.</p>
<p>(iii) Predict, giving a reason, the change in cell potential when the concentration of copper ions increases.</p>
<div class="marks">[4]</div>
<div class="question_part_label">k.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>contamination with sodium/other «compounds»</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>i<br>energy levels are closer together at high energy / high frequency / short wavelength</p>
<p> </p>
<p>ii<br>ionisation energy</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>i)</p>
<p><em>Anode (positive electrode):</em></p>
<p>2Cl<sup>–</sup> → Cl<sub>2</sub> (g) + 2e<sup>–</sup></p>
<p><em>Cathode (negative electrode):</em></p>
<p>Mg<sup>2+</sup> + 2e<sup>–</sup> → Mg (l)</p>
<p><em>Penalize missing/incorrect state symbols at Cl<sub>2</sub> and Mg once only.</em></p>
<p><em>Award <strong>[1 max]</strong> if equations are at wrong electrodes. </em></p>
<p><em>Accept Mg (g).</em></p>
<p> </p>
<p>ii)</p>
<p>reduction</p>
<p> </p>
<p>iii)</p>
<p><em>Anode (positive electrode):</em><br>oxygen/O<sub>2</sub><br><em><strong>OR</strong></em><br>hydogen ion/proton/H<sup>+</sup> <em><strong>AND</strong></em> oxygen/O<sub>2</sub><br><em>Cathode (negative electrode):</em><br>hydrogen/H<sub>2</sub><br><em><strong>OR</strong></em><br>hydroxide «ion»/OH<sup>–</sup> <em><strong>AND</strong></em> hydrogen/H<sub>2</sub></p>
<p><em>Award <strong>[1 max]</strong> if correct products given at wrong electrodes.</em></p>
<p> </p>
<div class="question_part_label">i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any two of:</em></p>
<p>«inert» Pt electrode<br><em><strong>OR</strong></em><br>platinum black conductor</p>
<p>1 mol dm<sup>–3</sup> H<sup>+ </sup>(aq)</p>
<p>H<sub>2</sub> (g) at 100 kPa</p>
<p><em>Accept 1 atm H<sub>2</sub> (g).</em><br><em>Accept 1 bar H<sub>2</sub> (g)</em><br><em>Accept a labelled diagram.</em><br><em>Ignore temperature if it is specified.</em></p>
<div class="question_part_label">j.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>i</p>
<p>Mg(s) + Cu<sup>2+</sup> (aq) → Mg<sup>2+</sup> (aq) + Cu(s)</p>
<p> </p>
<p>ii</p>
<p>«+0.34V – (–2.37V) = +»2.71 «V»</p>
<p> </p>
<p>iii</p>
<p>cell potential increases</p>
<p>reaction «in Q4(k)(i)» moves to the right<br><em><strong>OR <br></strong></em>potential of the copper half-cell increases/becomes more positive</p>
<p><em>Accept correct answers based on the Nernst equation</em></p>
<div class="question_part_label">k.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<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">i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">j.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">k.</div>
</div>
<br><hr><br><div class="specification">
<p>An acidic sample of a waste solution containing Sn<sup>2+</sup>(aq) reacted completely with K<sub>2</sub>Cr<sub>2</sub>O<sub>7</sub>&nbsp;solution to form Sn<sup>4+</sup>(aq).</p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Identify one organic functional group that can react with acidified K<sub>2</sub>Cr<sub>2</sub>O<sub>7</sub>(aq).</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.v.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Corrosion of iron is similar to the processes that occur in a voltaic cell. The initial steps involve the following half-equations:</p>
<p>Fe<sup>2+</sup>(aq) + 2e<sup>–</sup> <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
  <mo stretchy="false">⇌</mo>
</math></span> Fe(s)</p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{1}{2}">
  <mfrac>
    <mn>1</mn>
    <mn>2</mn>
  </mfrac>
</math></span>O<sub>2</sub>(g) + H<sub>2</sub>O(l) + 2e<sup>–</sup> <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
  <mo stretchy="false">⇌</mo>
</math></span> 2OH<sup>–</sup>(aq)</p>
<p>Calculate <em>E</em> <sup>θ</sup>, in V, for the spontaneous reaction using section 24 of the data booklet.</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>Calculate the Gibbs free energy, Δ<em>G</em> <sup>θ</sup>, in kJ, which is released by the corrosion of 1 mole of iron. Use section 1 of the data booklet.</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>Explain why iron forms many different coloured complex ions.</p>
<div class="marks">[3]</div>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Zinc is used to galvanize iron pipes, forming a protective coating. Outline how this process prevents corrosion of the iron pipes.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>hydroxyl/OH<br><em><strong>OR</strong></em><br>aldehyde/CHO</p>
<p> </p>
<p><em>Accept “hydroxy/alcohol” for “hydroxyl”.</em></p>
<p><em>Accept amino/amine/NH<sub>2</sub>.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">a.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«<em>E</em> <sup>θ</sup> =» +0.85 «V»</p>
<p> </p>
<p><em>Accept 0.85 V.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Δ<em>G</em> <sup>θ</sup> «= –<em>nFE</em> <sup>θ</sup>» = –2 «mol e<sup>–</sup>» x 96500 «C mol<sup>–1</sup>» x 0.85 «V»</p>
<p>«Δ<em>G</em> <sup>θ</sup> =» –164 «kJ»</p>
<p> </p>
<p><em>Accept “«+»164 «kJ»” as question states energy released.</em></p>
<p><em>Award <strong>[1 max]</strong> for “+” or “–” 82 «kJ».</em></p>
<p><em>Do not accept answer in J.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>incompletely filled d-orbitals</p>
<p>colour depends upon the energy difference between the split d-orbitals</p>
<p>variable/multiple/different oxidation states</p>
<p>different «nature/identity of» ligands</p>
<p>different number of ligands</p>
<p><em><strong>[3 marks]</strong></em></p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Zn/zinc is a stronger reducing agent than Fe/iron<br><em><strong>OR</strong></em><br>Zn/zinc is oxidized instead of Fe/iron<br><em><strong>OR</strong></em><br>Zn/zinc is the sacrificial anode</p>
<p> </p>
<p><em>Accept “Zn is more reactive than Fe”.</em></p>
<p><em>Accept “Zn oxide layer limits further corrosion”.</em></p>
<p><em>Do not accept “Zn layer limits further corrosion”.</em></p>
<p><strong><em>[1 mark]</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">a.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p><span class="fontstyle0">Nickel catalyses the conversion of propanone to propan-2-ol.</span></p>
<p><span class="fontstyle0"><img style="display: block; margin-left: auto; margin-right: auto;" src="data:image/png;base64,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"></span></p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Outline how a catalyst increases the rate of 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">Explain why an increase in temperature increases the rate of reaction.</span></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><span class="fontstyle0">Discuss, referring to intermolecular forces present, the relative volatility of propanone and propan-2-ol.</span></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><span class="fontstyle0">The diagram shows an unlabelled voltaic cell for the reaction</span></p>
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msup><mi>Pb</mi><mrow><mn>2</mn><mo>+</mo></mrow></msup><mo>(</mo><mi>aq</mi><mo>)</mo><mo>+</mo><mi>Ni</mi><mo>(</mo><mi mathvariant="normal">s</mi><mo>)</mo><mo>→</mo><msup><mi>Ni</mi><mrow><mn>2</mn><mo>+</mo></mrow></msup><mo>(</mo><mi>aq</mi><mo>)</mo><mo>+</mo><mi>Pb</mi><mo>(</mo><mi mathvariant="normal">s</mi><mo>)</mo></math></p>
<p><span class="fontstyle0">Label the diagram with the species in the equation.</span></p>
<p><span class="fontstyle0"><img src="data:image/png;base64,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" width="576" height="239"></span></p>
<div class="marks">[1]</div>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Calculate the standard cell potential, in <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi mathvariant="normal">V</mi></math>, for the cell at <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>298</mn><mo> </mo><mi mathvariant="normal">K</mi></math>. Use section 24 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 class="fontstyle0">Calculate the standard free energy change, </span><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>∆</mo><msup><mi mathvariant="normal">G</mi><mo>⦵</mo></msup></math><span class="fontstyle0">, </span><span class="fontstyle4"><strong>in</strong> <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi mathvariant="bold">kJ</mi></math></span><span class="fontstyle0">, for the cell using sections 1 and 2 of the data booklet.</span></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><span class="fontstyle0">Suggest a metal that could replace nickel in a new half-cell and reverse the electron flow. Use section 25 of the data booklet.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">d(iv).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Describe the bonding in metals.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d(v).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Nickel alloys are used in aircraft gas turbines. Suggest a physical property altered by the addition of another metal to nickel.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">d(vi).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>provides an alternative pathway/mechanism <em><strong>AND</strong></em> lower <em>E</em><sub>a</sub> ✔</p>
<p><em>Accept description of how catalyst lowers E<sub>a</sub> (e.g. “reactants adsorb on surface «of catalyst»”, “reactant bonds weaken «when adsorbed»”).</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>more/greater proportion of molecules with <em>E</em> <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAA4AAAAMCAYAAABSgIzaAAAAkklEQVQoFWP4TyZgqEzq/r/2zLP/f0k0gKFMkuE/AwPDfwaHsv9zN5z5/4xIExj+f775f+/aWf/LHCQhBjC4/S+bu/f/zc/4TWBAduHfZ2f+b4AbovM/rnvF/703PyIrgbNRNMJF/3//f3NuKMQFkpX/937EtB1FI2k2kutHskOV7HhEBAhpLEQCACUCbBhHqAIAqolBX7mtjgwAAAAASUVORK5CYII="><em>E</em><sub>a </sub>✔</p>
<p>greater frequency/probability/chance of collisions «between the molecules»<br><em><strong>OR</strong></em><br>more collision per unit of time/second ✔</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>hydrogen bonding/bonds «and dipole–dipole and London/dispersion forces are present in» propan-2-ol ✔</p>
<p>dipole–dipole «and London/dispersion are present in» propanone ✔</p>
<p>propan-2-ol less volatile <em><strong>AND</strong></em> hydrogen bonding/bonds stronger «than dipole–dipole »<br><em><strong>OR</strong></em><br>propan-2-ol less volatile <em><strong>AND</strong></em> «sum of all» intermolecular forces stronger ✔</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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"></p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>«</mo><mo>−</mo><mn>0</mn><mo>.</mo><mn>13</mn><mo> </mo><mi mathvariant="normal">V</mi><mo>−</mo><mo>(</mo><mo>−</mo><mn>0</mn><mo>.</mo><mn>26</mn><mo> </mo><mi mathvariant="normal">V</mi><mo>)</mo><mo>=</mo><mo>+</mo><mo>»</mo><mn>0</mn><mo>.</mo><mn>13</mn><mo>«</mo><mi mathvariant="normal">V</mi><mo>»</mo></math> ✔</p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>«</mo><msup><mi>ΔG</mi><mi mathvariant="normal">Θ</mi></msup><mo>=</mo><mo>−</mo><msup><mi>nFE</mi><mi mathvariant="normal">Θ</mi></msup><mo>=</mo><mo>−</mo><mn>2</mn><mo>×</mo><mn>96</mn><mo> </mo><mn>500</mn><mo>×</mo><mfrac><mrow><mn>0</mn><mo>.</mo><mn>13</mn></mrow><mn>1000</mn></mfrac><mo>=</mo><mo>»</mo><mo>−</mo><mn>25</mn><mo> </mo><mo>«</mo><mi mathvariant="normal">k</mi><mo> </mo><mi mathvariant="normal">J</mi><mo>»</mo></math> ✔</p>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi>Bi</mi><mo>/</mo><mi>Cu</mi><mo>/</mo><mi>Ag</mi><mo>/</mo><mi>Pd</mi><mo>/</mo><mi>Hg</mi><mo>/</mo><mi>Pt</mi><mo>/</mo><mi>Au</mi><mo> </mo></math> ✔</p>
<p><em>Accept <math xmlns="http://www.w3.org/1998/Math/MathML"><mi>S</mi><mi>b</mi></math> <strong>OR</strong> <math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A</mi><mi>s</mi></math>.</em></p>
<div class="question_part_label">d(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>electrostatic attraction ✔</p>
<p>between «a lattice of» metal/positive ions/cations <em><strong>AND</strong></em> «a sea of» delocalized electrons ✔</p>
<p><em>Accept “mobile/free electrons”.</em></p>
<div class="question_part_label">d(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any of:</em></p>
<p>malleability/hardness<br><em><strong>OR</strong></em><br>«tensile» strength/ductility<br><em><strong>OR</strong></em><br>density<br><em><strong>OR</strong></em><br>thermal/electrical conductivity<br><em><strong>OR</strong></em><br>melting point<br><em><strong>OR</strong></em><br>thermal expansion ✔</p>
<p><em>Do not accept corrosion/reactivity or any chemical property.</em></p>
<p><em>Accept other specific physical properties.</em></p>
<div class="question_part_label">d(vi).</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Although fairly well done some candidates did not mention that providing an alternate pathway to the&nbsp;reaction was how the activation energy was lowered and hence did not gain the mark.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Almost all candidates earned at least 1 mark for the effect of temperature on rate. Some missed&nbsp;increase in collision frequency, others the idea that more particles reached the required activation energy.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The average mark was 1.9/3. Almost all candidates could recognize hydrogen bonding in alcohol but&nbsp;many missed the dipole-dipole attraction in propanone. There was also some confusion on the term&nbsp;volatility, with some thinking stronger IMF meant higher volatility.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>A surprising number of No Response for a question where candidates simply had to label a diagram&nbsp;with the species in the equation. Some candidates had the idea but did not use the species for electrolytic&nbsp;cell, e.g., Pb(SO<sub>4</sub>) instead of Pb<sup>2+</sup>(aq).</p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>80% of candidates could correctly calculate a cell potential by using a reduction table and a&nbsp;balanced redox reaction.&nbsp;</p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This was similar to 2f(ii) where many could apply the formula for Gibbs free energy change,&nbsp;ΔG<sup>ө</sup>,&nbsp;correctly however some did not get the units correct.</p>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>80% could correctly pick a metal to reverse the electron flow, however some candidates thought&nbsp;a more reactive, rather than a less reactive metal than nickel would reverse the electron flow.</p>
<div class="question_part_label">d(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were aware that metallic bonding involved a "sea of electrons", but were unsure about surrounding what and could not identify that it was electrostatic attraction holding the metal&nbsp;together.</p>
<div class="question_part_label">d(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Almost all candidates could correctly identify a physical property of a metal which might be altered&nbsp;when alloying.</p>
<div class="question_part_label">d(vi).</div>
</div>
<br><hr><br><div class="specification">
<p>Consider the following half-cell reactions and their standard electrode potentials.</p>
<p style="text-align: center;"><img 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"></p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce a balanced equation for the overall reaction when the standard nickel and iodine half-cells are connected.</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>Predict, giving a reason, the direction of movement of electrons when the standard nickel and manganese half-cells are connected.</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 cell potential, in V, when the standard iodine and manganese half-cells are connected.</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>Identify the best reducing agent in the table above.</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>State and explain the products of electrolysis of a concentrated aqueous solution of sodium chloride using inert electrodes. Your answer should include half-equations for the reaction at each electrode.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[4]</div>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>Ni (s) + I<sub>2</sub> (aq) → 2I<sup>– </sup>(aq) + Ni<sup>2+</sup> (aq)</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>electron movement «in the wire» from Mn(s) to Ni(s)</p>
<p><em>E</em><sup>θ</sup> «for reduction» of Ni<sup>2+</sup> is greater/less negative than <em>E</em><sup>θ</sup> «for reduction» of Mn<sup>2+</sup></p>
<p><em><strong>OR</strong></em></p>
<p>Ni<sup>2+</sup> is stronger oxidizing agent than Mn<sup>2+</sup></p>
<p><em><strong>OR</strong></em></p>
<p>Mn is stronger reducing agent than Ni</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«0.54 V – (–1.18 V) = +»1.72 «V»</p>
<p><em>Do <strong>not</strong> accept –1.72 V.</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Mn «(s)»</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Positive electrode (anode):</em><br>2Cl<sup>–</sup> (aq) → Cl<sub>2</sub> (g) + 2e<sup>–</sup></p>
<p>Cl<sup>–</sup> oxidized because higher concentration</p>
<p><em><strong>OR</strong></em></p>
<p>electrode potential/<em>E</em> depends on concentration</p>
<p><em><strong>OR</strong></em></p>
<p>electrode potential values «of H<sub>2</sub>O and Cl<sup>–</sup>» are close</p>
<p><em>Negative electrode (cathode):</em><br>2H<sub>2</sub>O (l) + 2e<sup>–</sup> → H<sub>2</sub> (g) + 2OH<sup>–</sup> (aq)</p>
<p><em><strong>OR</strong></em></p>
<p>2H<sup>+ </sup>(aq) + 2e<sup>–</sup> → H<sub>2</sub> (g)</p>
<p>H<sub>2</sub>O/H<sup>+</sup> reduced because Na<sup>+</sup> is a weaker oxidizing agent</p>
<p><em><strong>OR</strong></em></p>
<p>Na<sup>+</sup> not reduced to Na in water</p>
<p><em><strong>OR</strong></em></p>
<p>H<sup>+</sup> easier to reduce than Na<sup>+</sup><br><em><strong>OR</strong></em></p>
<p>H lower in activity series «than Na»</p>
<p><em>Accept <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
  <mo stretchy="false">⇌</mo>
</math></span>.</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>Oxidation and reduction reactions can have a variety of commercial uses.</p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>A student decides to build a voltaic cell consisting of an aluminium electrode, Al (s), a tin electrode, Sn (s), and solutions of aluminium nitrate, Al(NO<sub>3</sub>)<sub>3 </sub>(aq) and tin(II) nitrate, Sn(NO<sub>3</sub>)<sub>2 </sub>(aq).</p>
<p>Electron flow is represented on the diagram.</p>
<p>Label each line in the diagram using section 25 of the data booklet.</p>
<p style="text-align:center;"><img src="data:image/png;base64,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"></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>Write the equation for the expected overall chemical reaction in (a).</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>Calculate the cell potential using section 24 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>Calculate the Gibbs free energy change, Δ<em>G</em><sup>⦵</sup>, in kJ, for the cell, using section 1 of the data booklet.</p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>Al/aluminium «electrode» <em><strong>AND</strong> </em>aluminium nitrate/Al(NO<sub>3</sub>)<sub>3</sub>/Al<sup>3+</sup> on left ✓</p>
<p>Sn/tin «electrode» <em><strong>AND</strong> </em>tin«(II)» nitrate/Sn(NO<sub>3</sub>)<sub>2</sub>/Sn<sup>2+</sup> on right ✓</p>
<p>salt bridge <em><strong>AND</strong> </em>voltmeter/V/lightbulb ✓</p>
<p><em><br>Award <strong>[1]</strong> if M1 and M2 are reversed.</em></p>
<p><em>Award <strong>[1]</strong> for two correctly labelled solutions <strong>OR</strong> two correctly labelled electrodes for M1 and M2.</em></p>
<p><em>Accept a specific salt for “salt bridge”.</em></p>
<p><em>Accept other circuit components such as ammeter/A, fan, buzzer, resistor/heating element/R/Ω.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>3Sn<sup>2+ </sup>(aq) + 2Al (s) → 3Sn (s) + 2Al<sup>3+ </sup>(aq)<br><em><strong>OR</strong></em><br>3Sn(NO<sub>3</sub>)<sub>2 </sub>(aq) + 2Al (s) → 3Sn (s) + 2Al(NO<sub>3</sub>)<sub>3 </sub>(aq) ✓</p>
<p><em>If half cells are reversed in part-question (a) then the equation must be reversed to award the mark.</em></p>
<p><em>Do <strong>not</strong> penalize equilibrium arrows.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«1.66 + (−0.14) = +»1.52 «V» ✓</p>
<p>&nbsp;</p>
<p><em>Calculation must be consistent with equation given in 3 b.</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«Δ<em>G</em><sup>⦵</sup>&nbsp;= −<em>nFE</em><sup>⦵</sup>&nbsp;= −6 × 9.65 × 104 × 1.52 =» −880080 «J mol<sup>−1</sup>»<br><em><strong>OR</strong></em><br>6 «electrons» ✓</p>
<p>«<math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mrow><mo>-</mo><mn>880080</mn></mrow><mn>1000</mn></mfrac></math>=» −880 «kJ» ✓</p>
<p>&nbsp;</p>
<p><em>Award<strong> [1]</strong> for “«+»880”.</em></p>
<p><em>Award <strong>[2]</strong> for correct final answer.</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;">
[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>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 src="data:image/png;base64,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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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"></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,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"></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>The diagram shows an incomplete voltaic cell with a light bulb in the circuit.</p>
<p><img 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"></p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Identify the missing component of the cell and its function.</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>Deduce the half-equations for the reaction at each electrode when current flows.</p>
<p><img 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"></p>
<p> </p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Annotate the diagram with the location and direction of electron movement when current flows.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the cell potential, in V, using section 24 of the data booklet.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine the loss in mass of one electrode if the mass of the other electrode increases by 0.10 g.</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>salt bridge</p>
<p> </p>
<p>movement of ions</p>
<p><strong><em>OR</em></strong></p>
<p>balance charge</p>
<p> </p>
<p><em>Do </em><strong><em>not </em></strong><em>accept “to complete circuit” </em><em>unless ion movement is mentioned for </em><em>M2.</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><em>Positive electrode (cathode):</em></p>
<p>Ag<sup>+</sup>(aq) + e<sup>–</sup> → Ag(s)</p>
<p> </p>
<p><em>Negative electrode (anode):</em></p>
<p>Mg(s) → Mg<sup>2+</sup>(aq) + 2e<sup>–</sup></p>
<p> </p>
<p><em>Award </em><strong><em>[1 max] </em></strong><em>if correct equations </em><em>given at wrong electrodes.</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>in external wire from left to right</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>«</strong><em>E =</em> +0.80 V – (–2.37 V) = +<strong>»</strong> 3.17 <strong>«</strong>V<strong>»</strong></p>
<p><strong><em>[1 mark]</em><br></strong></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>«</strong>moles of silver <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{0.10{\text{ g}}}}{{107.87{\text{ g mo}}{{\text{l}}^{ - 1}}}}">
  <mfrac>
    <mrow>
      <mn>0.10</mn>
      <mrow>
        <mtext> g</mtext>
      </mrow>
    </mrow>
    <mrow>
      <mn>107.87</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>
</math></span><strong>»</strong></p>
<p>moles of magnesium <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" = \frac{{0.5 \times 0.10{\text{ }}\ll {\text{g}}\gg }}{{107.87{\text{ }}\ll {\text{g mo}}{{\text{l}}^{ - 1}}\gg }}">
  <mo>=</mo>
  <mfrac>
    <mrow>
      <mn>0.5</mn>
      <mo>×</mo>
      <mn>0.10</mn>
      <mrow>
        <mtext> </mtext>
      </mrow>
      <mo>≪</mo>
      <mrow>
        <mtext>g</mtext>
      </mrow>
      <mo>≫</mo>
    </mrow>
    <mrow>
      <mn>107.87</mn>
      <mrow>
        <mtext> </mtext>
      </mrow>
      <mo>≪</mo>
      <mrow>
        <mtext>g mo</mtext>
      </mrow>
      <mrow>
        <msup>
          <mrow>
            <mtext>l</mtext>
          </mrow>
          <mrow>
            <mo>−</mo>
            <mn>1</mn>
          </mrow>
        </msup>
      </mrow>
      <mo>≫</mo>
    </mrow>
  </mfrac>
</math></span></p>
<p><strong>«</strong>loss in mass of magnesium <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" = \frac{{24.31{\text{ g mol}} \times 0.5 \times 0.10{\text{ g}}}}{{107.87{\text{ g mo}}{{\text{l}}^{ - 1}}}} = ">
  <mo>=</mo>
  <mfrac>
    <mrow>
      <mn>24.31</mn>
      <mrow>
        <mtext> g mol</mtext>
      </mrow>
      <mo>×</mo>
      <mn>0.5</mn>
      <mo>×</mo>
      <mn>0.10</mn>
      <mrow>
        <mtext> g</mtext>
      </mrow>
    </mrow>
    <mrow>
      <mn>107.87</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>
</math></span><strong>» </strong>0.011 <strong>«</strong>g<strong>»</strong></p>
<p> </p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">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="question" style="padding-left: 20px; padding-right: 20px;">
<p>In acidic solution, bromate ions, BrO<sub>3</sub><sup>−</sup>(aq), oxidize iodide ions, I<sup>−</sup>(aq).</p>
<p>BrO<sub>3</sub><sup>−</sup>(aq) + 6H<sup>+</sup>(aq) + 6e<sup>−</sup> <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
  <mo stretchy="false">⇌</mo>
</math></span> Br<sup>−</sup>(aq) + 3H<sub>2</sub>O(l)</p>
<p>2I<sup>−</sup>(aq) <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
  <mo stretchy="false">⇌</mo>
</math></span> I<sub>2</sub>(s) + 2e<sup>−</sup></p>
<p>Formulate the equation for the redox reaction.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The change in the free energy for the reaction under standard conditions, Δ<em>G</em><sup>Θ</sup>, is −514 kJ at 298 K.</p>
<p>Determine the value of <em>E</em><sup>Θ</sup>, in V, for the reaction using 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 standard electrode potential, in V, for the BrO<sub>3</sub><sup>−</sup>/Br<sup>−</sup> reduction half‑equation using section 24 of the data booklet.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>BrO<sub>3</sub><sup>–</sup>(aq) + 6H<sup>+</sup>(aq) + 6I<sup>–</sup>(aq) <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
  <mo stretchy="false">⇌</mo>
</math></span> Br<sup>–</sup>(aq) + 3I<sub>2</sub>(s) + 3H<sub>2</sub>O(l)</p>
<p> </p>
<p><em>Accept →</em><em> for </em><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
  <mo stretchy="false">⇌</mo>
</math></span><em>.</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>n = 6</p>
<p><strong>«</strong>Δ<em>G</em><sup>Θ</sup> = –n<em>FE</em><sup>Θ</sup><strong>»</strong></p>
<p><strong>«</strong><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{E^\Theta } =  - \frac{{\Delta {G^\Theta }}}{{{\text{n}}F}} = \frac{{514 \times {{10}^3}{\text{ J mo}}{{\text{l}}^{ - 1}}}}{{6 \times 9.65 \times {{10}^4}{\text{ C mo}}{{\text{l}}^{ - 1}}}} = ">
  <mrow>
    <msup>
      <mi>E</mi>
      <mi mathvariant="normal">Θ</mi>
    </msup>
  </mrow>
  <mo>=</mo>
  <mo>−</mo>
  <mfrac>
    <mrow>
      <mi mathvariant="normal">Δ</mi>
      <mrow>
        <msup>
          <mi>G</mi>
          <mi mathvariant="normal">Θ</mi>
        </msup>
      </mrow>
    </mrow>
    <mrow>
      <mrow>
        <mtext>n</mtext>
      </mrow>
      <mi>F</mi>
    </mrow>
  </mfrac>
  <mo>=</mo>
  <mfrac>
    <mrow>
      <mn>514</mn>
      <mo>×</mo>
      <mrow>
        <msup>
          <mrow>
            <mn>10</mn>
          </mrow>
          <mn>3</mn>
        </msup>
      </mrow>
      <mrow>
        <mtext> J mo</mtext>
      </mrow>
      <mrow>
        <msup>
          <mrow>
            <mtext>l</mtext>
          </mrow>
          <mrow>
            <mo>−</mo>
            <mn>1</mn>
          </mrow>
        </msup>
      </mrow>
    </mrow>
    <mrow>
      <mn>6</mn>
      <mo>×</mo>
      <mn>9.65</mn>
      <mo>×</mo>
      <mrow>
        <msup>
          <mrow>
            <mn>10</mn>
          </mrow>
          <mn>4</mn>
        </msup>
      </mrow>
      <mrow>
        <mtext> C mo</mtext>
      </mrow>
      <mrow>
        <msup>
          <mrow>
            <mtext>l</mtext>
          </mrow>
          <mrow>
            <mo>−</mo>
            <mn>1</mn>
          </mrow>
        </msup>
      </mrow>
    </mrow>
  </mfrac>
  <mo>=</mo>
</math></span><strong>» </strong>0.888 <strong>«</strong>V<strong>»</strong></p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>«</strong><em>E</em><sup>Θ</sup> = <em>E</em><sup>Θ</sup>(BrO<sub>3</sub><sup>–</sup><strong>/</strong>Br<sup>–</sup><strong>) –</strong> <em>E</em><sup>Θ</sup>(I<sub>2</sub>/I<sup>–</sup>)<strong>»</strong></p>
<p><strong>«</strong><em>E</em><sup>Θ</sup>(BrO<sub>3</sub><sup>–</sup><strong>/</strong>Br<sup>–</sup><strong>) =</strong> <em>E</em><sup>Θ</sup> + <em>E</em><sup>Θ</sup>(I<sub>2</sub>/I<sup>–</sup>) = 0.888 + 0.54 =<strong>» «</strong>+<strong>» </strong>1.43 <strong>«</strong>V<strong>»</strong></p>
<p><em><strong>[1 mark]</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>The emission spectrum of an element can be used to identify it.</p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Hydrogen spectral data give the frequency of 3.28 × 10<sup>15</sup> s<sup>−1</sup> for its convergence limit.</p>
<p>Calculate the ionization energy, in J, for a single atom of hydrogen using sections 1 and 2 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 the wavelength, in m, for the electron transition corresponding to the frequency in (a)(iii) using section 1 of the data booklet.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce any change in the colour of the electrolyte during electrolysis.</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>Deduce the gas formed at the anode (positive electrode) when graphite is used in place of copper.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.v.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain why transition metals exhibit variable oxidation states in contrast to alkali metals.</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.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>IE <strong>«</strong>= Δ<em>E =</em> <em>h</em>ν = 6.63 × 10<sup>–34</sup> J s × 3.28 × 10<sup>15</sup> s<sup>–1</sup><strong>» =</strong> 2.17 × 10<sup>–18</sup> <strong>«</strong>J<strong>»</strong></p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>«</strong><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\lambda  = \frac{C}{{\text{v}}} = \frac{{3.00 \times {{10}^8}{\text{ m}}{{\text{s}}^{ - 1}}}}{{3.28 \times {{10}^{15}}{\text{ }}{{\text{s}}^{ - 1}}}} = ">
  <mi>λ</mi>
  <mo>=</mo>
  <mfrac>
    <mi>C</mi>
    <mrow>
      <mtext>v</mtext>
    </mrow>
  </mfrac>
  <mo>=</mo>
  <mfrac>
    <mrow>
      <mn>3.00</mn>
      <mo>×</mo>
      <mrow>
        <msup>
          <mrow>
            <mn>10</mn>
          </mrow>
          <mn>8</mn>
        </msup>
      </mrow>
      <mrow>
        <mtext> m</mtext>
      </mrow>
      <mrow>
        <msup>
          <mrow>
            <mtext>s</mtext>
          </mrow>
          <mrow>
            <mo>−</mo>
            <mn>1</mn>
          </mrow>
        </msup>
      </mrow>
    </mrow>
    <mrow>
      <mn>3.28</mn>
      <mo>×</mo>
      <mrow>
        <msup>
          <mrow>
            <mn>10</mn>
          </mrow>
          <mrow>
            <mn>15</mn>
          </mrow>
        </msup>
      </mrow>
      <mrow>
        <mtext> </mtext>
      </mrow>
      <mrow>
        <msup>
          <mrow>
            <mtext>s</mtext>
          </mrow>
          <mrow>
            <mo>−</mo>
            <mn>1</mn>
          </mrow>
        </msup>
      </mrow>
    </mrow>
  </mfrac>
  <mo>=</mo>
</math></span><strong>»</strong> 9.15 × 10<sup>–8</sup> <strong>«</strong>m<strong>»</strong></p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">a.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>no change <strong>«</strong>in colour<strong>»</strong></p>
<p> </p>
<p><em>Do </em><strong><em>not </em></strong><em>accept “solution around cathode </em><em>will become paler and solution around </em><em>the anode will become darker”.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">c.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>oxygen/O<sub>2</sub></p>
<p> </p>
<p><em>Accept “carbon dioxide/CO2”.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">c.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Transition metals:</em></p>
<p><strong>«</strong>contain<strong>» </strong>d and s orbitals <strong>«</strong>which are close in energy<strong>»</strong></p>
<p><strong><em>OR</em></strong></p>
<p><strong>«</strong>successive<strong>» </strong>ionization energies increase gradually</p>
<p> </p>
<p><em>Alkali metals</em>:</p>
<p>second electron removed from <strong>«</strong>much<strong>» </strong>lower energy level</p>
<p><strong><em>OR</em></strong></p>
<p>removal of second electron requires large increase in ionization energy</p>
<p><em><strong>[2 marks]</strong></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;">
[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">c.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p>3.26 g of iron powder are added to 80.0 cm<sup>3</sup> of 0.200 mol dm<sup>−3</sup> copper(II) sulfate solution. The following reaction occurs:</p>
<p style="text-align: center;">Fe (s) + CuSO<sub>4</sub> (aq) → FeSO<sub>4</sub> (aq) + Cu (s)</p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine the limiting reactant showing your working.</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>The mass of copper obtained experimentally was 0.872 g. Calculate the percentage yield of copper.</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>The reaction was carried out in a calorimeter. The maximum temperature rise of the solution was 7.5 °C.</p>
<p>Calculate the enthalpy change, Δ<em>H</em>, of the reaction, in kJ, assuming that all the heat released was absorbed by the solution. Use sections 1 and 2 of the data booklet.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State another assumption you made in (b)(i).</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The only significant uncertainty is in the temperature measurement.</p>
<p>Determine the absolute uncertainty in the calculated value of Δ<em>H</em> if the uncertainty in the temperature rise was ±0.2 °C.</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>Sketch a graph of the concentration of iron(II) sulfate, FeSO<sub>4</sub>, against time as the reaction proceeds.</p>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAxMAAAFkCAYAAABb4mYAAAAgAElEQVR4Ae3dC5icdX03/O+GgCEESCIUNk0QE0iwNYAKqGA4WRJ5EalYtKiEc0EfFOlLQAUfHynhIFQq6IuWQyEglFoOucpZ5FQQS4iAgackAiIgi4AJhEUSSDLvNYGkS7JLNsPMZOa+P3tdudiZue/////7/MZ1vzv3oaNSqVTiiwABAgQIECBAgAABAqspMGA1t7c5AQIECBAgQIAAAQIElgoIE94IBAgQIECAAAECBAjUJCBM1MRmJwIECBAgQIAAAQIEBi4j6OjoWPat/xIgQIAAAQIECBAgQKBXgZ6nXC8PE9Unq4Gi54u97u1JAgQIECBAgAABAgRKJ9BbVnCYU+neBgomQIAAAQIECBAgUB8BYaI+jkYhQIAAAQIECBAgUDoBYaJ0LVcwAQIECBAgQIAAgfoICBP1cTQKAQIECBAgQIAAgdIJCBOla7mCCRAgQIAAAQIECNRHQJioj6NRCBAgQIAAAQIECJROQJgoXcsVTIAAAQIECBAgQKA+AsJEfRyNQoAAAQIECBAgQKB0AsJE6VquYAIECBAgQIAAAQL1ERAm6uNoFAIECBAgQIAAAQKlExAmStdyBRMgQIAAAQIECBCoj4AwUR9HoxAgQIAAAQIECBAonYAwUbqWK5gAAQIECBAgQIBAfQSEifo4GoUAAQIECBAgQIBA6QSEidK1XMEECBAgQIAAAQIE6iMgTNTH0SgECBAgQIAAAQIESicgTJSu5QomQIAAAQIECBAgUB8BYaI+jkYhQIAAAQIECBAgUDoBYaJ0LVcwAQIECBAgQIAAgfoICBP1cTQKAQIECBAgQIAAgdIJCBOla7mCCRAgQIAAAQIECNRHQJioj6NRCBAgQIAAAQIECJROQJgoXcsVTIAAAQIECBAgQKA+AsJEfRyNQoAAAQIECBAgQKB0AsJE6VquYAIECBAgQIAAAQL1ERAm6uNoFAIEViHw9NNPZ9q0aXn11VdXsaWXCRAgQIAAgXYRGNguC7VOAgTaV6AaII466qhMnz59aRGTJ09u32KsnAABAgQIEFgu0FGpVCrLHnV0dKTHw2VP+y8BAgTekUD1E4kDDzxw+RizZ8/O2LFjlz/2DQECBAgQIND6Ar1lBWGi9ftmhQTaWmDOnDkZN27cW2rYZ599cs0117zlOQ8IECBAgACB1hboLUw4Z6K1e2Z1BNpe4IwzznhLDVOmTFl6uNNVV131luc9IECAAAECBNpPQJhov55ZMYG2EagGhvPPPz/VALHs6+tf/3q23377fOYzn0n1pGxfBAgQIECAQPsKCBPt2zsrJ9DSAnPnzl0aGKrBoRogln0NHz48J5988tKHZ5999rKn/ZcAAQIECBBoQwFhog2bZskE2kHgtNNOW7rMapCoBoieXxMnTsxhhx2W6iFQN998c8+XfE+AAAECBAi0kYATsNuoWZZKoF0EqgFh0qRJSwPDeeedt3TZ1ZO2ql/LrhhXPcRp1KhRSw95uvHGG1cKHO1Sq3USIECAAIGyCDgBuyydVieBNShQvafEiSeeuHQF3/72t/tcyciRI3PllVdmxowZ+dGPftTndl4gQIAAAQIEWlfAYU6t2xsrI9CWAmedddbSgHDxxRenGhje7mvPPfdM9TKxJ5xwQh544IG329RrBAgQIECAQAsKOMypBZtiSQTaVWDZPSWqAeHyyy/Puuuuu7yUFQ9zWvbCsn2qJ2rfe++9y572XwIECBAgQKDFBHo7zGlgi63RcggQaGOB559/ful5EtVLwfYMEm9XUvVO2NXDnX75y1++3WZeI0CAAAECBFpQwCcTLdgUSyJQRIG+PpkoYq1qIkCAAAECRRTo7ZMJ50wUsdNqIkCAAAECBAgQINAEAWGiCcimIECAAAECBAgQIFBEAWGiiF1VEwECBAgQIECAAIEmCAgTTUA2BQECBAgQIECAAIEiCggTReyqmggQIECAAAECBAg0QUCYaAKyKQgQIECAAAECBAgUUUCYKGJX1USAAAECBAgQIECgCQLCRBOQTUGAAAECBAgQIECgiALCRBG7qiYCBAgQIECAAAECTRAQJpqAbAoCBAgQIECAAAECRRQQJorYVTURIECAAAECBAgQaIKAMNEEZFMQIECAAAECBAgQKKKAMFHErqqJAAECBAgQIECAQBMEhIkmIJuCAAECBAgQIECAQBEFhIkidlVNBAgQIECAAAECBJogIEw0AdkUBAgQIECAAAECBIooIEwUsatqIkCAAAECBAgQINAEAWGiCcimIECAAAECBAgQIFBEAWGiiF1VEwECBAgQIECAAIEmCAgTTUA2BQECBAgQIECAAIEiCggTReyqmggQIECAAAECBAg0QUCYaAKyKQgQIECAAAECBAgUUUCYKGJX1USAAAECBAgQIECgCQLCRBOQTUGAAAECBAgQIECgiALCRBG7qiYCBAgQIECAAAECTRAQJpqAbAoCBAgQIECAAAECRRQQJorYVTURIECAAAECBAgQaIKAMNEEZFMQIECAAAECBAgQKKKAMFHErqqJAAECBAgQIECAQBMEhIkmIJuCAAECBAgQIECAQBEFhIkidlVNBAgQIECAAAECBJogIEw0AdkUBAgQIECAAAECBIooIEwUsatqIkCAAAECBAgQINAEAWGiCcimIECAAAECBAgQIFBEAWGiiF1VEwECBAgQIECAAIEmCAgTTUA2BQECBAgQIECAAIEiCggTReyqmggQIECAAAECBAg0QUCYaAKyKQgQIECAAAECBAgUUUCYKGJX1USAAAECBAgQIECgCQLCRBOQTUGAAAECBAgQIECgiALCRBG7qiYCBAgQIECAAAECTRAQJpqAbAoCBAgQIECAAAECRRQQJorYVTURWJXAou680PXHdC+qrGpLrxMgQIAAAQIE+hQQJvqk8QKBIgksTNed5+aYQ47NOTdcnwsO3zkbj9g8237mjNzatbBIhaqFAAECBAgQaKKAMNFEbFMRWFMClWeuywlfnZMPHvqxzD/jq7nigxfklSXP5qbPPp5jL/xV/rSmFmZeAgQIECBAoK0FBrb16i2eAIF+CSzuejx3bvWRfGfHT+TVL96UlzcflcEdgzNyzGaZd3NXXkoyuF8j2YgAAQIECBAg8D8CPpn4HwvfESiswMBxE3Lk3Evyj/8yK8MPPjen7T40L8y8JP/75Nuz537bZ9PCVq4wAgQIECBAoJECHZVKZfkZmB0dHenxsJHzGpsAgaYKVLKo675c/V8D81d7bZklr3Sk47Gf5Yb547PPrmMypKPxi6n+fKl++RnTeGszECBAgACBRgj0lhWEiUZIG5NACwssmnlmtjp7dP7z4n3T2cR1ChNNxDYVAQIECBBogEBvYcJhTg2ANiQBAgQIECBAgACBMggIE2XoshoJECBAgAABAgQINEBAmGgAqiEJECBAgAABAgQIlEFAmChDl9VIgAABAgQIECBAoAECwkQDUA1JgAABAgQIECBAoAwCruZUhi6rkUBPgUXd+WP3wAwfOihZ8GL+MO/VLL8+9PLt1sq6wzbK0EH1+3uDqzktx/UNAQIECBBoSwFXc2rLtlk0gToLDByS4QOfyPSpX8z2Gw9L54gRGbHSvx1z9PW/r/PEhiNAgAABAgSKJjCwaAWphwCBVQkszG+vnpoDTpyeTXbdP0dP2DojN1jxR8E6GTVm/VUN5HUCBAgQIECg5AIr/gZRcg7lEyiDwHN54JZ70t35pfz7ladm0vC1ylC0GgkQIECAAIEGCNTvgOgGLM6QBAg0QmDdDN10aDJwcAa/y4+ARggbkwABAgQIlEXAbxJl6bQ6CSwXeHcmHDElBw+6Pj+5alZeXLTy6dfLN/UNAQIECBAgQOBtBISJt8HxEoFiCnRk7ffukS//3Yj8ZPI2Gbb2gFSvzvDWf+/Lkdc+U8zyVUWAAAECBAjUTcA5E3WjNBCBdhF4PV3XnZzPT5me7nTmQ3vtlr9894o/CgZniw3XbpeCrJMAAQIECBBYQwIr/gaxhpZhWgIEmifwfGZee0N+M+zwXDrjrHx+zHrpaN7kZiJAgAABAgQKJOAwpwI1UykE+iewTgZvuF6y4eYZM3KwINE/NFsRIECAAAECvQgIE72geIpAsQXenR0PPSYHrX1LrrnliSxw/nWx2606AgQIECDQQAGHOTUQ19AEWlNgYZ68//48v8EjueiTO+WWPs6ZGH/YSTl2wsatWYJVESBAgAABAi0hIEy0RBssgkAzBRbn1T88nOtmdi2ddOZ1l2XmStNvlSP2e32lZz1BgAABAgQIEOgp0FGpVJYf5FC9NGSPhz238z0BAgTekUD150v1y8+Yd8RoZwIECBAgsMYEessKzplYY+0wMQECBAgQIECAAIH2FnCYU3v3z+oJ9E+g0p2nZs3Oc/0+cmmtrP+e92XsRu/q3/i2IkCAAAECBEopIEyUsu2KLp3A4tm5Yt/tMuWx/lY+JpOvvC0X7zuqvzvYjgABAgQIECihgDBRwqYruYQCa22WPc6+OlcuWPJG8a89lun/+6RM69o6k4/5fP5qm86sl+48fe/1mfb/XZf5+x6VyR8YXkIoJRMgQIAAAQKrI+AE7NXRsi2BQgi8nq5rj88uez+cg+65PN/4yPAeN65bkCev+Fq2PewP+T93XZyvbrNB3Sp2AnbdKA1EgAABAgTWiIATsNcIu0kJtJrA85l57Q35zZg9Mmm7nkGius5B2Wznidm7+5qc/bPfZFGrLd16CBAgQIAAgZYScDWnlmqHxRBohsA6Gbzhesncx/O7lc7IXpz5jz6cX6UzY4avFz8gmtEPcxAgQIAAgfYVcM5E+/bOygnUKDAs207aM1t995/y9W+Mydpf2ivbvmfDDFz0cp75v3fkktPOy0Nb/m1O3XOMMFGjsN0IECBAgEBZBJwzUZZOq5NAT4HKS3n40m/l4C+fkxndPV9IsuUXcsb5p+drO/956vnXBudMrODsIQECBAgQaDOB3s6ZECbarImWS6B+AovS/dTDmTFjZmY9PjevZUg63/+BfPQjH8zooWvXb5o3RxIm6k5qQAIECBAg0FQBYaKp3CYjQKCngDDRU8P3BAgQIECg/QR6CxPOr2y/PloxAQIECBAgQIAAgZYQECZaog0WQYAAAQIECBAgQKD9BISJ9uuZFRMgQIAAAQIECBBoCQFhoiXaYBEECBAgQIAAAQIE2k+gnld+bL/qrZhAWQQWz8kVXzs1189f0s+KB2f8YSfl2Akb93N7mxEgQIAAAQJlFBAmyth1NZdQ4NX84e5/z7T7V7ypRF8UW+WI/V7v60XPEyBAgAABAgSWCrjPhDcCAQJNEXBp2KYwm4QAAQIECDRMoLdLw/pkomHcBibQ4gKV+fntXTflxlvuzr1PzMuSAcPynm0/kA/vumcmbfNndb37dYtLWB4BAgQIECBQo4AwUSOc3Qi0tUDl2dz5nUOy13duyMoHPn0gB027NOce8BcZ1NZFWjwBAgQIECDQaAFXc2q0sPEJtJzA4sy97Yc54ju/zLgjL8g9j/8xry6ppPL6y3nmoWtz8qfm56IvT81lc/7Uciu3IAIECBAgQKC1BJwz0Vr9sBoCTRB4Ibce/4l8/LyP5T8eOTOf/LOeH1BW8tqDP8hu256aIRfcmhsO2Sr1+ouDcyaa0FpTECBAgACBBgr0ds5EvX5PaOCyDU2AQH0FXs2Lz76YDB+ZzuE9g0R1lo6s82d/ni3SlcfmvpL+Xki2vuszGgECBAgQINAuAsJEu3TKOgnUTWDDvGf86OSxu3L3w/NXGHVRnpv5n/lZtsyE0RtnrRVe9ZAAAQIECBAg0FNgxT9L9nzN9wQIFFJg/Wz96QOz/ylfzNH7fSkvf+sL2fl9m2Twohfzu/uvzTnH/VO6tjoxB+z65+koZP2KIkCAAAECBOol4JyJekkah0BbCSxM153n5pjDvpUrfvPW6zkN2XVKzv/hCfnsX2xY1zDhnIm2eoNYLAECBAgQWEmgt3MmhImVmDxBoCwClSzq/n3mPDwnj//+xbw2YL1s/N4t8r5x781Gg+p/BKQwUZb3lToJECBAoKgCwkRRO6suAjUKVBa8mD/MezWVlfZfK+sO2yhD6xgqhImVkD1BgAABAgTaSqC3MFH/Pz+2FYnFEiinQKX7kVwz9YvZfuNh6RwxIiNW+rdjjr7+9+XEUTUBAgQIECDQbwEnYPebyoYEiiKwML+9emoOOHF6Ntl1/xw9YeuM3GDFHwXrZNSY9YtSsDoIECBAgACBBgms+BtEg6YxLAECrSPwXB645Z50d34p/37lqZk03AVgW6c3VkKAAAECBNpLwGFO7dUvqyVQB4F1M3TTocnAwRn8Lj8C6gBqCAIECBAgUFoBv0mUtvUKL6/AuzPhiCk5eND1+clVs/LiopVPvy6vjcoJECBAgACB1REQJlZHy7YECiHQkbXfu0e+/Hcj8pPJ22TY2gNSvTrDW/+9L0de+0whqlUEAQIECBAg0DgB50w0ztbIBFpU4PV0XXdyPj9lerrTmQ/ttVv+8t0r/igYnC02XLtF129ZBAgQIECAQKsIrPgbRKusyzoIEGiYwPOZee0N+c2ww3PpjLPy+THr1fVO1w1btoEJECBAgACBlhNwmFPLtcSCCDRaYJ0M3nC9ZMPNM2bkYEGi0dzGJ0CAAAECBRYQJgrcXKUR6F3g3dnx0GNy0Nq35JpbnsgC51/3zuRZAgQIECBAYJUCDnNaJZENCBRNYGGevP/+PL/BI7nokzvllj7OmRh/2Ek5dsLGRStePQQIECBAgEAdBYSJOmIaikB7CCzOq394ONfN7Fq63JnXXZaZKy18qxyx3+srPesJAgQIECBAgEBPgY5KpbL8IIfqpSF7POy5ne8JECDwjgSqP1+qX37GvCNGOxMgQIAAgTUm0FtWcM7EGmuHiQkQIECAAAECBAi0t4Aw0d79s3oCBAgQIECAAAECa0xAmFhj9CYmQIAAAQIECBAg0N4CwkR798/qCRAgQIAAAQIECKwxAWFijdGbmAABAgQIECBAgEB7C7g0bHv3z+oJ9E9g8YM5Z+/T89TuE7PzR7bLNttulVFD/M+/f3i2IkCAAAECBPoS8MlEXzKeJ1AkgY5hGbtDcut3Ds7eE8Zns/X/IrsfOTUXXHV7HnxirrtgF6nXaiFAgAABAk0UcJ+JJmKbisCaFqgseD6PPvxgfnXvXbntp5flx7f9JsmQjNl13/zNpydl1x0+lG3ePyadDfjUwn0m1nT3zU+AAAECBN6ZQG/3mRAm3pmpvQm0scCidD/1cGbMmJFf3H5drv6XazKzu5otPpRPHfy3OeyoI7P32CF1q0+YqBulgQgQIECAwBoRECbWCLtJCbSDQCWLup/N4w89kBn33pmbr/558pUrc/G+o+q2eGGibpQGIkCAAAECa0RAmFgj7CYl0IYCldey4LWBGfSu+p1WJUy04fvAkgkQIECAQA8BYaIHhm8JEGiugDDRXG+zESBAgACBegv0Fibq92fHeq/WeAQIECBAgAABAgQItLSAMNHS7bE4AgQIECBAgAABAq0rIEy0bm+sjAABAgQIECBAgEBLC7gFbku3x+II1Elg8Zxc8bVTc/38JTUNOGD8YfnesRMyrKa97USAAAECBAgUVUCYKGpn1UWgp0Dl5Tx1w0WZ9ljPJ1fj+8n75JTV2NymBAgQIECAQDkEHOZUjj6rksAbApOvzDOVSir9/ff6fTljDDwCBAgQIECAQO8CPpno3cWzBIolMGDjfPCYM3LGRmOy/upUVut+qzOHbQkQIECAAIG2FeioVP9E+eZXb9eOXfaa/xIgQOCdCLjPxDvRsy8BAgQIEFjzAr1lBYc5rfm+WAGBFhdYlO4/vpQFy//s0OLLtTwCBAgQIECgaQIOc2oatYkItIdApfupzJr9XF5fttxF/zeX7HdNRp53XHZ775hsM3aj+MGxDMd/CRAgQIBAuQX8TlDu/quewEoClbn35vv7H5QLl2yX/XbaLOsu+WMenjcn61/wgzy8w9+5ROxKYp4gQIAAAQLlFXDORHl7r3ICfQgsyYInb8n3vnJaZv/VSTnt8EH5yfvPz+j//EH27az97w/OmeiD29MECBAgQKBNBHo7Z6L23wzapGjLJEBgdQUGZNBmE/ONn7w313//2/nC/1o3w/+0dkav7jC2J0CAAAECBAov4ATswrdYgQRqE+gYsmX2+ua5+dFem2bugnWyzsCO2gayFwECBAgQIFBYAYc5Fba1CiPQt0BlwfN5dPbsPP7b5/LKkgFZZ2hnRm/5vowdtUHDTq52mFPf/fAKAQIECBBoBwGHObVDl6yRQCMFKi9lznXn5dSTvpeLZnStMNOW2e3oKfnO//v5fGzUevE5xAo8HhIgQIAAAQIrCfhkYiUSTxAoqEDlhdxz6kGZeMJ16R6yYyZ/bb/s8v5RGbp2Ja8895vMuvXqnPvTGene8ohMu/bMHDB2SF0hfDJRV06DESBAgACBpgv09smEMNH0NpiQwJoQWJy5t/6f7PTxf8rig76Xy747Odtt/K63LqQyP49f970ctv93MuPjF2TmTw/O2LXr9/mEMPFWbo8IECBAgEC7CfQWJpyA3W5dtF4CtQhUnszPzr88j3Qelu+dfvDKQaI6ZscGGf3Jv89ZU/dJ9/RL8tOZL9Uyk30IECBAgACBEgkIEyVqtlJLLDBvTu658bF0HrB3dv6zt7si9AYZ/4lPZWIezI0PPJ3FJSZTOgECBAgQILBqAWFi1Ua2IND+Agtfybx5yeCNN8zgVVQzYP2h2TTz0tW9MJVVbOtlAgQIECBAoNwCwkS5+6/6sgisNzSbdiZzH+vK3LdNCJW89tzv82g6M2b4evEDoixvEHUSIECAAIHaBPyuUJubvQi0l8D64zJhn/dn3hVX5abH/9T32isv5L+uujq/yAez14dGChN9S3mFAAECBAgQSPyu4F1AoBQCHSOy+5F/lz1e/5d8+fDv5j/mzM2iFQqvLPh9fvnP38yhJ83Ill86IvttXd9Lw64wnYcECBAgQIBAAQRcGrYATVQCgf4JdGfOv56YLx7+/czo7syH9torH//o2FSvELvw+Ydyy5VX5fbHki0/d3ouO/eIbDdsrf4N28+tXBq2n1A2I0CAAAECLSrQ26VhhYkWbZZlEWiMwMI8P3N6/vns7+e0ab9Id89JxuyT4775tRz52Ql575D6BonqNMJET2zfEyBAgACB9hMQJtqvZ1ZMoEECi9L9Qlee+f1zeXlRMnD9TfOezTozdFDjTqMSJhrUSsMSIECAAIEmCQgTTYI2DYGWFqgsyEvzkw02HJQ37m+9JAu6Hso9Mx/PS2t3ZusPfzCjh65d9xKEibqTGpAAAQIECDRVoLcw0bg/Qza1NJMRILBqgYXpuvOcHPzh0Rn61evz7NIdFuX5O0/L/zN2m+y+96fz6U98JGN2+F+58OGX3GNi1aC2IECAAAECpRcQJkr/FgBQDoHFmXfP2fnCXl/NRTOGZLexG2VQksrcO/KPR5ya2zo/n5Mv/rf867nHZa8ll+fQg8/JXfPc/7oc7w1VEiBAgACB2gUG1r6rPQkQaBuBypO5+Zwf57a1D8kFj5yVg8dtkI4synO/+I/88yOb5HPTvp3jDxibgdk7Hx32Urb923/PlfcengmTNmmbEi2UAAECBAgQaL6ATyaab25GAs0XmDcn99z4WDoP/0L+ZmmQqC7hj7n/ltszb8gu+fQum+eNvywMyqgddsrOeTDXznp6pXtRNH/hZiRAgAABAgRaWUCYaOXuWBuBegksfCXz5iWDN94wg5eN+cqc3H3Vg8mOO+UDI9dZ9mw6Bq2XDZc/8g0BAgQIECBAoG8BYaJvG68QKI7AekOzaWcy9+kXMn9pVZW89ugD+flTQ7LNHlvnPct/ElTyyqO/zm0ZlfdvsmHqf7eJ4pCqhAABAgQIEEiW/woBgwCBAgusPy4T9nl/5l3wo5x740N56qkHc/W/XJ5f5GP54m5b5l1vll7p/nUu/eFleSpbZ/etN33z0rEFdlEaAQIECBAg8I4E3AH7HfHZmUC7CFSyYM5l+dInj8xFv1l23+tR2e3b03LFt3fNxpUn8/PvnpKp5/8ktz02LLtNvSxXfuNjGfbGjSjqUqT7TNSF0SAECBAgQGCNCfR2nwlhYo21w8QEmi2wON2//c9cddn03PZossXun8sh+384nQM7kkUzc+ZW22XKH3bMQVNPySlf3vmN5+u4RGGijpiGIkCAAAECa0BAmFgD6KYk0BYCle48NevJLB41Ou8ZtuzO2PVduTBRX0+jESBAgACBZgsIE80WNx8BAssFhInlFL4hQIAAAQJtKdBbmHDTurZspUUTqINA5U/p+tXtueG2O3PvrJeyxWEn5ZhNZ+SfZ43I33xqm2xcPfzJFwECBAgQIEDgbQRczeltcLxEoLAClRfyy388KBO22yuHTjk9P572s8x6/pW89PitOeEzn8rn/uGWdC2qFLZ8hREgQIAAAQL1ERAm6uNoFAJtJLA4c2/7fg6eMiN/ecbt+d0dp2bM0tWvleEfPzqXHz8mt510Si6876U2qslSCRAgQIAAgTUhIEysCXVzElijAvPywE035JFh++TwyTtlxHo9jnYcOCp7HHJAJubB3PjA01m8RtdpcgIECBAgQKDVBYSJVu+Q9RGou8CrefHZF5PhI9M5vEeQeHOeAesPzaaZl67uhXGgU93xDUiAAAECBAolIEwUqp2KIdAfgfUzYuyo5A//nUefeW2FHRZn7q9/mZ9ly0wYvXHWWuFVDwkQIECAAAECPQWEiZ4avidQCoENs+1f759P5d/yrW9flHuemJvFWZxX5z2RB2/6YY75yrnp2vKT+cxHO+N6TqV4QyiSAAECBAjULOAO2DXT2ZFAOwssTNfPz8gX/vpbua17hQaRaAEAABHJSURBVDq2/ELOvPgf8/cf3aSuYcJ9JlZw9pAAAQIECLSZQG/3mRAm2qyJlkugfgJLsqDrodxzz32Z9fjcvJYh2WTc+/PhCR/O2KFr12+aN0cSJupOakACBAgQINBUAWGiqdwmI9BCAkuezK3n/lt+tdEeOfJz22TIGliaMLEG0E1JgAABAgTqKNBbmHDORB2BDUWgZQWWPJ9fnTUlU65/LC8vX+SLefCKs3PmD2/NU0uWP+kbAgQIECBAgEC/BYSJflPZkEDRBF7OY9efnSln/SrPCRNFa656CBAgQIBAUwSEiaYwm4QAAQIECBAgQIBA8QSEieL1VEUECBAgQIAAAQIEmiIgTDSF2SQECBAgQIAAAQIEiicwsHglqYgAgT4FXn0xz3V1vfnyc3nx1cXJ4vl54dmudL3ldtdrZd1hG2XoIH9v6NPSCwQIECBAgEDcZ8KbgEAZBBbNzJlbbZcpj/W32DGZfOVtuXjfUf3dYZXbuTTsKolsQIAAAQIEWlqgt0vD+mSipVtmcQTqJNCxfkbteVAmz+/vZZsGZ/zGg+o0uWEIECBAgACBogr4ZKKonVUXgRYT8MlEizXEcggQIECAwGoK9PbJhAOiVxPR5gTaUqDSnad+PTMz57yQRatTQK37rc4ctiVAgAABAgTaVkCYaNvWWTiB1RBYPDtX7Ltdtpt6Z55fjd1S636rM4dtCRAgQIAAgbYVcM5E27bOwgnUIPDw9Jx75uPZoL+7Lnk6t8/t78a2I0CAAAECBMomIEyUrePqLbfAzGn5h5nlJlA9AQIECBAgUD8BJ2DXz9JIBFpYYFG6X3ghL79eqWmNHesOyyZDB6Wjpr3f2MkJ2O8Az64ECBAgQKAFBHo7AVuYaIHGWAKBMggIE2XoshoJECBAoMgCvYUJJ2AXueNqI0CAAAECBAgQINBAAWGigbiGJkCAAAECBAgQIFBkAWGiyN1VGwECBAgQIECAAIEGCggTDcQ1NAECBAgQIECAAIEiCwgTRe6u2ggQIECAAAECBAg0UECYaCCuoQkQIECAAAECBAgUWUCYKHJ31UaAAAECBAgQIECggQLCRANxDU2AAAECBAgQIECgyALCRJG7qzYCBAgQIECAAAECDRQQJhqIa2gCBAgQIECAAAECRRYQJorcXbURIECAAAECBAgQaKCAMNFAXEMTIECAAAECBAgQKLKAMFHk7qqNAAECBAgQIECAQAMFhIkG4hqaAAECBAgQIECAQJEFhIkid1dtBAgQIECAAAECBBooIEw0ENfQBAgQIECAAAECBIosIEwUubtqI0CAAAECBAgQINBAAWGigbiGJkCAAAECBAgQIFBkAWGiyN1VGwECBAgQIECAAIEGCggTDcQ1NAECBAgQIECAAIEiCwgTRe6u2ggQIECAAAECBAg0UECYaCCuoQkQIECAAAECBAgUWUCYKHJ31UaAAAECBAgQIECggQLCRANxDU2AAAECBAgQIECgyALCRJG7qzYCBAgQIECAAAECDRQQJhqIa2gCBAgQIECAAAECRRYQJorcXbURIECAAAECBAgQaKCAMNFAXEMTIECAAAECBAgQKLKAMFHk7qqNAAECBAgQIECAQAMFhIkG4hqaAAECBAgQIECAQJEFhIkid1dtBAgQIECAAAECBBooIEw0ENfQBAgQIECAAAECBIosIEwUubtqI0CAAAECBAgQINBAAWGigbiGJkCAAAECBAgQIFBkAWGiyN1VGwECBAgQIECAAIEGCggTDcQ1NAECBAgQIECAAIEiCwgTRe6u2ggQIECAAAECBAg0UECYaCCuoQkQIECAAAECBAgUWUCYKHJ31UaAAAECBAgQIECggQLCRANxDU2AAAECBAgQIECgyALCRJG7qzYCBAgQIECAAAECDRQQJhqIa2gCBAgQIECAAAECRRYQJorcXbURIECAAAECBAgQaKCAMNFAXEMTIECAAAECBAgQKLKAMFHk7qqNAAECBAgQIECAQAMFhIkG4hqaAAECBAgQIECAQJEFhIkid1dtBAgQIECAAAECBBooIEw0ENfQBAgQIECAAAECBIosIEwUubtqI0CAAAECBAgQINBAAWGigbiGJkCAAAECBAgQIFBkAWGiyN1VGwECBAgQIECAAIEGCggTDcQ1NAECBAgQIECAAIEiCwgTRe6u2ggQIECAAAECBAg0UECYaCCuoQkUT+C1dM28JMfvNiIdHR3p6BiR3Y4/L9NndmVJ8YpVEQEC/RQ4/PDDU/339NNP93MPmxEgUBQBYaIonVQHgSYILPn9tTlx70uTg67JM4srqSyemdM3vStf2vuc3D5fnGhCC0xBoCUFttlmm5x//vkZNWpUpk2blldffbUl12lRBAjUX0CYqL+pEQkUVGBBHr3pX3Ph+M/l0AN2SGf1p8eAzuxw9Ddy8vg7ctN9cwtat7IIEFiVwFFHHZWbbrop22+/fQ488MDsv//+mTNnzqp28zoBAgUQECYK0EQlEGiOQHeenv14OrfdPJv2/MkxYKNsvu3CXHLTrzO/OQsxCwECLSgwceLE3HHHHZk6dWqmT5+ecePG5ZRTTvEpRQv2ypII1FOg568E9RzXWAQIFE1gyQt54oFn+qyq64En8qwjnfr08QKBMgisu+66+eY3v5n7778/++yzT0444YTssssueeCBB8pQvhoJlFJAmChl2xVNoAaB7mcye1ZXDTvahQCBsglsu+22ufzyy3PxxRdnxowZ+cAHPpDjjjsuc+c6HLJs7wX1Fl9AmCh+j1VIgAABAgSaLlD9lGLy5MmZPXt2DjvssJxxxhn5xCc+kZtvvrnpazEhAQKNExjYuKGNTIBAoQSGjMi48Z39Lql66djevvp6vrdtPUeAQLEEqp9STJo0KVdeeWX23XffYhWnGgIlFfDJREkbr2wCqy2w9ETrEX3uttKJ2X1u6QUCBMosUL3i0+jRo8tMoHYChRLwyUSh2qkYAo0UGJKR40an64o3TrTeYNmfIpaemP1ixn9uRIb0mL5SqfR4lKU3uas+seLzb9nIAwIECiVQvd/ET3/606WXi60WNmXKlHz961/P8OHDC1WnYgiUWWDZrwNlNlA7AQL9EhiULSb9bQ6ZdVamXvRQuqv7LOnKvd8/NSfO+myO/5ux8QOlX5A2IlAKgeoVnKr3m6jed6L6acRdd92V7373u4JEKbqvyDIJ+P/+MnVbrQTeocCAP/+rHH/pMdn0kolZv6MjHWuNyF8/MD4/+I+vZNflH1W8w0nsToBAWwtUP42o3l+iegWn6v0mqvedqN5/YqeddmrruiyeAIHeBToqPY45qJ4Y2eNh73t4lgABAjUILDvx2s+YGvDsQqBNBKpXajrxxBOXXg62ep+J6icRY8eObZPVWyYBAqsS6C0rOGdiVWpeJ0CgLgJCRF0YDUKgJQWq94847bTTll7+tbrA6v0l9ttvv1QvD+uLAIFiCzjMqdj9VR0BAgQIEGi4wLIgUb2fxFNPPbX0/hKCRMPZTUCgJQQc5tQSbbAIAgQIECDQvgJ33313XnnllUycOLF9i7ByAgRWKdDbYU4+mVglmw0IEHgnAku67s3Fx09aemnY6g+hjt2Oz4XTZ6ZryTsZ1b4ECLSSQPXkakGilTpiLQSaJyBMNM/aTATKJ7Dkd7nmxC/nonwx9z2zMJXKwjxz+ma540tH5J9uf6F8HiomQIAAAQIFE3CYU8EaqhwCrSSwZM6F2XPcjfnc7Gk5ZOygN5e2IHMunJxdZx+ZR07fPRu00oKthQABAgQIEOhTwGFOfdJ4gQCB+gssSffTj2ZW5xbZfNN1egy/TjbdfIvkklty33zHOvWA8S0BAgQIEGg7AYc5tV3LLJhAuwi8lmefeDRdfS2369E88exrfb3q+ZYSWJL5t34zI6rnvLztv+1y/M/uyIWTRmTE8bdmfkvVYDEECBAg0AgB95lohKoxCRBI0p2nZz+eZAsabS8wIBvsfkqeqZzyZiXVcHFitvr4zTng5zfm9N03emuFezyTQ976jEcECBAgUFABn0wUtLHKIkCAAAECBAgQINBoAWGi0cLGJ1BagSEZOW50aasvbeFLHulxmNOyw6M+nTOvuipnHjj+zcOkJuX4i+9N1/w5+dmZB755+NT4HHjW3W+9ZPCSrsy8+PjstuzQquplhW+dk+7S4iqcAAECrScgTLReT6yIQEEE3jjRurOvalY6MbuvDT3f/gLXZMo592X0CXe/cXngn++Yew/6cEZsNTUP7Xxanq4szsv/fWxyxpE58ZrfZelp+Ut+l6sOn5i9b90spy+9rPDivHzuX+SOL34mR1/15jbtD6MCAgQItL2AMNH2LVQAgVYVGJAhI7fI+JVOtH7zxOzxW2TkED+CWrV79V3Xh3Lct/4++46tXgh4nXRuNyE7dHZm4snfyNE7dGZABmTI2A9nl/F/zA3/9Vi6syTzb/9xjrrwfTn5hEOzQ2f1amADMmSrA3LOpXvnhqN+nNtdCay+LTIaAQIEahTw/+Q1wtmNAIFVCwzY4uM54pD/zolTr8gj3dW/N7+WrnsvyNQTH89xx38qY/0EWjViKbeYm/tuujldK316tSyg3pyb7ptbShlFEyBAoNUE/F95q3XEeggUSWDAqEw8/vs5edPL8r7110pHx7sy4q/vzfgf/Dhf23WFKwAVqW61rCAwOuNGDlnhuX487Do1H9+w+r75n0vSrjXu0Nzcj11tQoAAAQLNEXBp2OY4m4VASQWqh6/snkNOr/4rKYGyaxeYeEFm33CIT7BqF7QnAQIEGi7gk4mGE5uAAAECBFZPYHi2mzQxnbN+lYe6et7YcEm6Z56V3To+mwvnLFi9IW1NgAABAg0RECYawmpQAgQIEKhdYEA22PWI/GDPO3LUN8/LvUsDxZJ0z7km/3DsD5Mzjs1nxw6qfXh7EiBAgEDdBISJulEaiAABAgTqJjDgPdn3+1fm0l2ezPEj3pWOjrWy/q7Ts/FXrshlf79DajgDo25LMxABAgQI/I9AR6VSqSx7WD3JrcfDZU/7LwECBAgQIECAAAECJRfoLSv4ZKLkbwrlEyBAgAABAgQIEKhVQJioVc5+BAgQIECAAAECBEouIEyU/A2gfAIECBAgQIAAAQK1CggTtcrZjwABAgQIECBAgEDJBYSJkr8BlE+AAAECBAgQIECgVgFholY5+xEgQIAAAQIECBAouYAwUfI3gPIJECBAgAABAgQI1CogTNQqZz8CBAgQIECAAAECJRcQJkr+BlA+AQIECBAgQIAAgVoFhIla5exHgAABAgQIECBAoOQCwkTJ3wDKJ0CAAAECBAgQIFCrgDBRq5z9CBAgQIAAAQIECJRcQJgo+RtA+QQIECBAgAABAgRqFRAmapWzHwECBAgQIECAAIGSCwgTJX8DKJ8AAQIECBAgQIBArQLCRK1y9iNAgAABAgQIECBQcgFhouRvAOUTIECAAAECBAgQqFVAmKhVzn4ECBAgQIAAAQIESi4gTJT8DaB8AgQIECBAgAABArUKCBO1ytmPAAECBAgQIECAQMkFhImSvwGUT4AAAQIECBAgQKBWAWGiVjn7ESBAgAABAgQIECi5gDBR8jeA8gkQIECAAAECBAjUKiBM1CpnPwIECBAgQIAAAQIlFxAmSv4GUD4BAgQIECBAgACBWgWEiVrl7EeAAAECBAgQIECg5ALCRMnfAMonQIAAAQIECBAgUKuAMFGrnP0IECBAgAABAgQIlFxAmCj5G0D5BAgQIECAAAECBGoVECZqlbMfAQIECBAgQIAAgZILCBMlfwMonwABAgQIECBAgECtAsJErXL2I0CAAAECBAgQIFByAWGi5G8A5RMgQIAAAQIECBCoVUCYqFXOfgQIECBAgAABAgRKLiBMlPwNoHwCBAgQIECAAAECtQp0VCqVSnXnjo6OWsewHwECBAgQIECAAAECJRF4Mz4srXbgspp7PrnsOf8lQIAAAQIECBAgQIBAXwIOc+pLxvMECBAgQIAAAQIECLytgDDxtjxeJECAAAECBAgQIECgLwFhoi8ZzxMgQIAAAQIECBAg8LYC/z8hVX3Nn48OmgAAAABJRU5ErkJggg=="></p>
<div class="marks">[2]</div>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline how the initial rate of reaction can be determined from the graph in part (c)(i).</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain, using the collision theory, why replacing the iron powder with a piece of iron of the same mass slows down the rate of the reaction.</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>A student electrolyzed aqueous iron(II) sulfate, FeSO<sub>4</sub> (aq), using platinum electrodes. State half-equations for the reactions at the electrodes, using section 24 of the data booklet.</p>
<p><img 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CibAMVE2ShpCAEEEEAAAQQQQACByhKgmKisfBMtAggggAACCCCAAAJlE6CYKBslDSGAAAIIIIAAAgggUFkCFBOVlW+iRQABBBBAAAEEEECgbAIUE2WjpCEEEEAAAQQQQAABBCpLgGKisvJNtAgggAACCCCAAAIIlE2AYqJslDSEAAIIIIAAAggggEBlCVBMVFa+iRYBBBBAAAEEEEAAgbIJUEyUjZKGEEAAAQQQQAABBBCoLAGKicrKN9EigAACCCCAAAIIIFA2AYqJslHSEAIIIIAAAggggAAClSVAMVFZ+SZaBBBAAAEEEEAAAQTKJkAxUTZKGkIAAQQQQAABBBBAoLIEKCYqK99EiwACCCCAAAIIIIBA2QQoJspGSUMIIIAAAggggAACCFSWAMVEZeWbaBFAAAEEEEAAAQQQKJsAxUTZKGkIAQQQQAABBBBAAIHKErCqmEgnYqoPhRSJxjVYLI/pPsXqIwpFWhQfTBfZ65QSseUKhRYoGj9aZB/J9v6ElSTmgvMDYPtcJz4nyZPxdyNzL/MP0KTMDb8b+d3onh4xP7M/pmU7B3Vdp9BDyBhjvPGGQiH5vvU284gAAggggAACCCCAAAIVLlCoVrDqnYkKzy/hI4AAAggggAACCCAQqADFRKDcdIYAAggggAACCCCAgD0CFBP25JJIEEAAAQQQQAABBBAIVIBiIlBuOkMAAQQQQAABBBBAwB4Bigl7ckkkCCCAAAIIIIAAAggEKkAxESg3nSGAAAIIIIAAAgggYI8AxYQ9uSQSBBBAAAEEEEAAAQQCFaCYCJSbzhBAAAEEEEAAAQQQsEeAYsKeXBIJAggggAACCCCAAAKBClBMBMpNZwgggAACCCCAAAII2CNAMWFPLokEAQQQQAABBBBAAIFABSgmAuWmMwQQQAABBBBAAAEE7BGgmLAnl0SCAAIIIIAAAggggECgAhQTgXLTGQIIIIAAAggggAAC9ghQTNiTSyJBAAEEEEAAAQQQQCBQAYqJQLnpDAEEEEAAAQQQQAABewQoJuzJJZEggAACCCCAAAIIIBCoAMVEoNx0hgACCCCAAAIIIICAPQIUE/bkkkgQQAABBBBAAAEEEAhUgGIiUG46QwABBBBAAAEEEEDAHgGKCXtySSQIIIAAAggggAACCAQqQDERKDedIYAAAggggAACCCBgjwDFhD25JBIEEEAAAQQQQAABBAIVoJgIlJvOEEAAAQQQQAABBBCwR4Biwp5cEgkCCCCAAAIIIIAAAoEKUEwEyk1nCCCAAAIIIIAAAgjYI0AxYU8uiQQBBBBAAAEEEEAAgUAFKCYC5aYzBBBAAAEEEEAAAQTsEaCYsCeXRIIAAggggAACCCCAQKACVhUT6URM9aGQItG4BosxpvsUq48oFGlRfDBdZK9TSsSWKxRaoGj8aJF9JNv7E1aSmAvOD4Dtc534nCRPxt+NzL3MP0CTMjf8buR3o3t6xPzM/piW7RzUdZ1CDyFjjPHGGwqF5PvW28wjAggggAACCCCAAAIIVLhAoVrBqncmKjy/hI8AAggggAACCCCAQKACFBOBctMZAggggAACCCCAAAL2CFBM2JNLIkEAAQQQQAABBBBAIFABiolAuekMAQQQQAABBBBAAAF7BCgm7MklkSCAAAIIIIAAAgggEKgAxUSg3HSGAAIIIIAAAggggIA9AhQT9uSSSBBAAAEEEEAAAQQQCFSAYiJQbjpDAAEEEEAAAQQQQMAeAYoJe3JJJAgggAACCCCAAAIIBCpAMREoN50hgAACCCCAAAIIIGCPAMWEPbkkEgQQQAABBBBAAAEEAhWgmAiUm84QQAABBBBAAAEEELBHgGLCnlwSCQIIIIAAAggggAACgQpQTATKTWcIIIAAAggggAACCNgjQDFhTy6JBAEEEEAAAQQQQACBQAUoJgLlpjMEEEAAAQQQQAABBOwRoJiwJ5dEggACCCCAAAIIIIBAoAIUE4Fy0xkCCCCAAAIIIIAAAvYIUEzYk0siQQABBBBAAAEEEEAgUAGKiUC56QwBBBBAAAEEEEAAAXsEKCbsySWRIIAAAggggAACCCAQqADFRKDcdIYAAggggAACCCCAgD0CFBP25JJIEEAAAQQQQAABBBAIVIBiIlBuOkMAAQQQQAABBBBAwB4Bigl7ckkkCCCAAAIIIIAAAggEKkAxESg3nSGAAAIIIIAAAgggYI8AxYQ9uSQSBBBAAAEEEEAAAQQCFaCYCJSbzhBAAAEEEEAAAQQQsEeAYsKeXBIJAggggAACCCCAAAKBClBMBMpNZwgggAACCCCAAAII2CNAMWFPLokEAQQQQAABBBBAAIFABSgmAuWmMwQQQAABBBBAAAEE7BGgmLAnl0SCAAIIIIAAAggggECgAhQTgXLTGQIIIIAAAggggAAC9ghQTNiTSyJBAAEEEEAAAQQQQCBQAYqJQLnpDAEEEEAAAQQQQAABewQsKSbSGkrs1hutDYqEQgpl/punhtZtiicGJ5CtQSXeflotL/UpnTn6lBKx5QpFWhQfzG6ZQKPjHJLWYLxFkdByxRKnxtnvLF4a2qvWhqfVO3QuxnsW4xhv16GE3m59VC95Maf7FKuPKBKNayJZG6+rs3/NzXl9TImyEjpzdZdaW14tc7u+CAfjikYiqo9589f3WtGnx9TbepeaOn/rzvmiO/ICAggggAACCCAwImBBMTGoROdDurnmcf3zpfeod9jIGCNzokMr9b+0suZOtfYeGwm4pCeDPWpreEK9wyXtPQl3Oqr4hod18JZbdM30yZritAb3blXDg7/SCHPVlWrclVRy4xJVT0LV8gzpU+1t+xs92FumorE8g5J0sebf3aQZzZu1/cjpsrVKQwgggAACCCBgt8BkPdMsUT2tod42rbl9h2Z3vKDHGxYq7EU0/QrduO4p7dgsPXjzpnP0jkKJwwx0N8ekXRv2r1D01m/I4wh0CHQ2NQWqr1NTy7/q3qf3TIJ3hqYmIaNGAAEEEECg0gSm+Lnmp9r72ivaXfefi5w4X6xr7vqv2v5MnWZ6kaZT6u1sVUPEWw4V0eJobHQ5lLNE5Mql2pRKqavpKk3LWdp0RPt2bhk9NtKg1rcTGvLPmqGE4rGoFnvLrRZHFYvn7ZM3hkjDFu3cd8TfSuZ5OrVXL0Xr3WVbeeMcs7e7If2Rup57ReetuE5zMjGPLqF6Mb7b156zDGyXEnnLoErqM7M8yVtS5rTTrpgzTr9VXoyhkH/8zpge0pVLH1dKr6up5qvZpU3+ZU6Z53MKLNU5qnh0gW8p1GmletsVXRxxneoVjcXHxDWWayLHlXZMrqHf2Rn7TVq6qVfqalLNtAWKxv/VXeJWr+iLT7hzy9l+VNKgEvHYGWJzxtSp1oZ52fidOblznz7OD9jJx0tnmJc6X3Pqv69l7f+gN/KWnoXKvtwrf4B8jwACCCCAAAJTUsD4viRnhdAU+jrebZrDMuHmbnO8pGH/3vRs/q4Jr37GvJ/8PHvE8GHTvb7OqHaL6TkxnN2WaTds6toOmuyWz0x/2x1GCpva5g7Tn9nvc5Ps/jtTq++azT2/zx534oBpWz3X1/7nJvn+M2Z1OGxqN79vTmT2yo5BtetNR78z6mFzor/DNNeGjXSHaev/LLPX8OEO0xiea1Zv2WOSmUEcNwfbGk04fI/pOOyOPdtrzv+H+9tMna8dp/3j3etNWDKjfRoznOwy62u/6RuXMSX1OTxgOhqdGLeagxkHd1xO++H1pvu4M9hSnL1xjcZshg+atrqwm0/XvK7N9LtpyQSayc1809z9iTHmc3O44x4TDq82W95PZnPl5aCxwxz2H5ejVMpx+f2Xcoxn6JsnY8bzielunm80EpfnoBHT4eQhc+jEp26+R2MbTu4xW1bP9c3VYXOiZ4upVZ1p7jiYnV8nDpqO5rrMXB2ZvyM58+b9sDlxcKtZHZ5rGjsG3DnuAmVy8E3f3M+B4xsEEEAAAQQQqGCBQrVCTvVQaIfJ7JU9cfaf9J9htDknoqP7jjkBL1ZMjJwsu8fmnHi5J4VjTva9k0X3pLngGPL2MfknnN5Ys9uLF0/eGLyTeuc4r23vBDy3rdGT2lL69NrPL2jcYz2fgjEak+vsjatYMeHt7yvWvFhy+imQ/yL9e5GbMfl1X8k5Lq+YOJtjvPFlms2PM9/Zez0vP5n+Cpzs54yjyHzI2cdr3+fsH1fOWJ0X8sfn2vCAAAIIIIAAAhUvUKhW8Bb/TMl3Vc560NVLtDHZo40LP1W8s1Odzn+xqJbWNKnrrBvzDjipA/1JDelT9ezqUmretZobPs97UVKVps+co3n6UP2HBzXY847aU7NVM3N6gX3cTYO/1q72XoWvnqXLcjI0XTNrZivV/o56Ct5V6rQ+Hjik1Lw5mnnGC6+zbenAIR12ljqV1OfRIjG6bXkRlcm5as5SrWn8rba8ti+7hj/9kd55pUs1D9yqhdVyLSO6etaM3GtDpkdUMy+p9l2/LrD2Pz2B40o8Jj2gPdv2SDn+Vape8piS5jU1XnG+J3SGR6+/q/SduV8vEJuycy6Ts6Tm1UTkn03KxP81tw93XobnaNZlBeZlqku7ej71jSdvXvhe4SkCCCCAAAIIIJAvkHOqmv/iZP++6rJZujqcck/mSxntoPpiTYpcWKOlP3lfmXs8XbxMz/e8oLrMyX7O1Q+lNDi6T/qoBvYnR78f8yyp/QNHlHRO9se8VnhDatNSXeRde5F5/Kpqml4vvHNm65AO9384zutnfuns+yzUZpmcq/5YN9x1s+QWT+lD3fppbLZW/cW3fCfPvdq09FL3egn3OphpV6mp60zKEzluIscU8jnTNrcoHGe31P4BJZMD2n+mML02Uo9r6UXTcpymfaEi2muYRwQQQAABBBCoZIGvTOngq7+l+lXztWn/gD5OS9UFSyPnAtV/0sEL/1y1ekP3N+3Vso4BvXibd6cj52LgLh2QdPUXwaiaoVlXR6T9xRpx/oJ+uSKao7AOFdvJtz2sura4djZemfuXad8eY5+6f1UuOoaxR+RuOVOfRxXPPaDgd+lEuZyrVL3gBq1Ss3b1/FAzB95SV91N+skc5y/83oc/3KG2/p+dxV/9vSGf6bhTYy9i1hmOSfd5jX/Bx/N02azx54nzrlUkIl0dHmfK+UdR16b+nY26ouDPiH9HniOAAAIIIIAAAqULTPFTi0u0cPldqu16Uhu3F/qwLecv5D/U/Jt36NgF52no8CEdUP7SkT/oxLFyfETaJVpQX6fwgX36IOW/T3/a7ddZ2lSdPTkOO0ue/O+CePu4icsUSREdeO83SnnnzJmXnA8W+56K31nHPQn1li6VPg+kkvr0YnSXRo20739HxIulTM6ZcUntP39Fndv2qW7kLlVuoRE+qPc++N1IaZEZkvOBfYsL3QnKeXUix5V4TNUsLVqxSCNLx1yfdCKm+tDZfIjceP0l1X9A2aVNXs4yy+xGkiENOfucdDd4OSswL3uf1OIxH5To5jJnqZavbZ4igAACCCCAAAI+gSleTFRp+vwmPd+2UDtvv1vrX9o7evKduX3pWi1pOqy/fHm9br38fPdEfo/at/7C3e+0UntfVMu9z+YuPfKvOT85pLy7p/r4/E+rVL3wTj1y47u6t+VF7c0UFGkN9bVr7cqtqtm8TsudNfPVi3TfM3+m9pVRxfqcIsb5ROTtenTDVt8YZqj2vhYt2/m3annqPXeszofzbdK6B6XNj91W5C/M7vUZqUMa+Nhf0PjHWex5KX1Wqbp2jZ5Z1qUNj253b7/qjGuLNji3O818eSfCZ3L2riVxDkrr5NDJ3ILAbU3KFow1W9Zrfde1WrFo1ug7NRnL67Xz3h/rqb2p7PFDferc8LAe1D16bPkVo/uOtCc3B2d5XEl9na85y36g9TWvacMT3dm8pY9o99Zt6qp90B2P//qSUxoa+oN/ZKPPqxforx5ZmBfbB4qtvV+bary23Jy136+1sQ+ytyh24n90ozaNLH/ycpY3LxPbtf8O2NYAAAq3SURBVGHds5I3L72eM8v1jvmKNu8FHhFAAAEEEEAAgbECU7yYcAKq1pWNz6u3Z61qfvOwItPcdfMX3q6X9e/1cv/remzJ5dmTyupF+tGOjVr4fxrc/ebrv/zvGWrY/rqawz6cqtlaFl2l087nTFzQqNcOlfhpxdPnqvHZDr18/f9TNPJHCoWm6cIf/kbXv7xbO9YtdNf5n6fLb3tMu1+aq3eXXJTdZ02Pvr32PtX5h3D5rXpq91O6/uO/d8d6kWrfvERre17UA/Mv9u2Z+7Tqir9QtPmItu0ZKHJynru//7uqUvqs+oZue+pVtVz6pmovdNbgf0ePfrhAazffOtpUic5Vc+oVXX9cTTUX6ILb/4cO5bwL4zVXpenXLNOqurDCjd9XfWaJk/eaa/ny9fo4Ol/TnOtKLrxDb166Rj2v3qP5RS9Cn8hxpR1TFb5Rj7z6qv5yuDWbt2nf1obhlb7xuAXH6YdUM222bn/t0OgngHthZR6def2kdufE9tfqv/4p9e+4fyS2bM5aNe/d/6ALM/Hfr/e/3ajNdd4F2M6bMU7O8uZl7Zu6dO02vfqANy+znacP/VLb/EWb+9kfxd8Nyxk03yCAAAIIIIBAhQmEnHtceTGHQiHnVrHetzxOSQHnE7Cf0s3rpFbfSee5DeWUErHVqu3/T+rbuETV57YzWj9nAuTxnNHSMAIIIIAAAhYIFKoVLHhnwoLMlDUEZ+nXKj288C091/XRWb87Mf5Q3E/TjjS5S7ScvZ2lYm169KGTemD5tRQS4wNO7lcHf6m2x/6NnrlvEXmc3JlidAgggAACCEwaAYqJSZOKcg5khmp/tE5ff/NN/UtpF3yU2Lmz/n6tdjxzlbtEy1lS9kea/+xnumXH+MuvSuyA3b40gWPqfaFNRzc9qFsv938exZc2IDpGAAEEEEAAgSkgwDKnKZAkhogAAggggAACCCCAwJctwDKnLzsD9I8AAggggAACCCCAgEUCLHOyKJmEggACCCCAAAIIIIBAkAIUE0Fq0xcCCCCAAAIIIIAAAhYJUExYlExCQQABBBBAAAEEEEAgSAGKiSC16QsBBBBAAAEEEEAAAYsEKCYsSiahIIAAAggggAACCCAQpADFRJDa9IUAAggggAACCCCAgEUCFBMWJZNQEEAAAQQQQAABBBAIUoBiIkht+kIAAQQQQAABBBBAwCIBigmLkkkoCCCAAAIIIIAAAggEKUAxEaQ2fSGAAAIIIIAAAgggYJEAxYRFySQUBBBAAAEEEEAAAQSCFKCYCFKbvhBAAAEEEEAAAQQQsEiAYsKiZBIKAggggAACCCCAAAJBClBMBKlNXwgggAACCCCAAAIIWCRAMWFRMgkFAQQQQAABBBBAAIEgBSgmgtSmLwQQQAABBBBAAAEELBKgmLAomYSCAAIIIIAAAggggECQAhQTQWrTFwIIIIAAAggggAACFglQTFiUTEJBAAEEEEAAAQQQQCBIAYqJILXpCwEEEEAAAQQQQAABiwQoJixKJqEggAACCCCAAAIIIBCkAMVEkNr0hQACCCCAAAIIIICARQIUExYlk1AQQAABBBBAAAEEEAhSgGIiSG36QgABBBBAAAEEEEDAIgGKCYuSSSgIIIAAAggggAACCAQpYFUxkU7EVB8KKRKNa7CYYrpPsfqIQpEWxQfTRfY6pURsuUKhBYrGjxbZR7K9P2Elibng/ADYPteJz0nyZPzdyNzL/AM0KXPD70Z+N7qnR8zP7I9p2c5BXdcp9BAyxhhvvKFQSL5vvc08IoAAAggggAACCCCAQIULFKoVrHpnosLzS/gIIIAAAggggAACCAQqQDERKDedIYAAAggggAACCCBgjwDFhD25JBIEEEAAAQQQQAABBAIVoJgIlJvOEEAAAQQQQAABBBCwR4Biwp5cEgkCCCCAAAIIIIAAAoEKUEwEyk1nCCCAAAIIIIAAAgjYI0AxYU8uiQQBBBBAAAEEEEAAgUAFKCYC5aYzBBBAAAEEEEAAAQTsEaCYsCeXRIIAAggggAACCCCAQKACFBOBctMZAggggAACCCCAAAL2CFBM2JNLIkEAAQQQQAABBBBAIFABiolAuekMAQQQQAABBBBAAAF7BCgm7MklkSCAAAIIIIAAAgggEKgAxUSg3HSGAAIIIIAAAggggIA9AhQT9uSSSBBAAAEEEEAAAQQQCFSAYiJQbjpDAAEEEEAAAQQQQMAeAYoJe3JJJAgggAACCCCAAAIIBCpAMREoN50hgAACCCCAAAIIIGCPAMWEPbkkEgQQQAABBBBAAAEEAhWgmAiUm84QQAABBBBAAAEEELBHgGLCnlwSCQIIIIAAAggggAACgQpQTATKTWcIIIAAAggggAACCNgjQDFhTy6JBAEEEEAAAQQQQACBQAUoJgLlpjMEEEAAAQQQQAABBOwRoJiwJ5dEggACCCCAAAIIIIBAoAIUE4Fy0xkCCCCAAAIIIIAAAvYIUEzYk0siQQABBBBAAAEEEEAgUAGKiUC56QwBBBBAAAEEEEAAAXsEKCbsySWRIIAAAggggAACCCAQqIBVxUQ6EVN9KKRINK7BYozpPsXqIwpFWhQfTBfZ65QSseUKhRYoGj9aZB/J9v6ElSTmgvMDYPtcJz4nyZPxdyNzL/MP0KTMDb8b+d3onh4xP7M/pmU7B3Vdp9BDyBhjvPGGQiH5vvU284gAAggggAACCCCAAAIVLlCoVrDqnYkKzy/hI4AAAggggAACCCAQqADFRKDcdIYAAggggAACCCCAgD0CFBP25JJIEEAAAQQQQAABBBAIVIBiIlBuOkMAAQQQQAABBBBAwB4Bigl7ckkkCCCAAAIIIIAAAggEKkAxESg3nSGAAAIIIIAAAgggYI8AxYQ9uSQSBBBAAAEEEEAAAQQCFaCYCJSbzhBAAAEEEEAAAQQQsEeAYsKeXBIJAggggAACCCCAAAKBClBMBMpNZwgggAACCCCAAAII2CNAMWFPLokEAQQQQAABBBBAAIFABSgmAuWmMwQQQAABBBBAAAEE7BGgmLAnl0SCAAIIIIAAAggggECgAhQTgXLTGQIIIIAAAggggAAC9ghQTNiTSyJBAAEEEEAAAQQQQCBQAYqJQLnpDAEEEEAAAQQQQAABewQoJuzJJZEggAACCCCAAAIIIBCoAMVEoNx0hgACCCCAAAIIIICAPQIUE/bkkkgQQAABBBBAAAEEEAhUgGIiUG46QwABBBBAAAEEEEDAHgGKCXtySSQIIIAAAggggAACCAQqQDERKDedIYAAAggggAACCCBgjwDFhD25JBIEEEAAAQQQQAABBAIVoJgIlJvOEEAAAQQQQAABBBCwR4Biwp5cEgkCCCCAAAIIIIAAAoEKUEwEyk1nCCCAAAIIIIAAAgjYI0AxYU8uiQQBBBBAAAEEEEAAgUAFKCYC5aYzBBBAAAEEEEAAAQTsEaCYsCeXRIIAAggggAACCCCAQKACFBOBctMZAggggAACCCCAAAL2CISMMcYJJxQK2RMVkSCAAAIIIIAAAggggMA5EXDLh0zbX/F68G/0tvGIAAIIIIAAAggggAACCBQTYJlTMRm2I4AAAggggAACCCCAwLgCFBPj8vAiAggggAACCCCAAAIIFBOgmCgmw3YEEEAAAQQQQAABBBAYV+D/Awlf4D2h3NwsAAAAAElFTkSuQmCC"></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>n<sub>CuSO4</sub> <strong>«</strong>= 0.0800 dm<sup>3</sup> × 0.200 mol dm<sup>–3</sup><strong>»</strong> = 0.0160 mol <em><strong>AND</strong></em></p>
<p>n<sub>Fe</sub> <strong>«</strong><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{3.26\,{\text{g}}}}{{55.85\,{\text{g}}\,{\text{mo}}{{\text{l}}^{ - 1}}}}">
  <mfrac>
    <mrow>
      <mn>3.26</mn>
      <mspace width="thinmathspace"></mspace>
      <mrow>
        <mtext>g</mtext>
      </mrow>
    </mrow>
    <mrow>
      <mn>55.85</mn>
      <mspace width="thinmathspace"></mspace>
      <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>
</math></span><strong>»</strong> = 0.0584 mol ✔</p>
<p>CuSO<sub>4</sub> is the limiting reactant ✔</p>
<p> </p>
<p><em>Do <strong>not</strong> award M2 if mole calculation is not shown.</em></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em><strong>ALTERNATIVE 1:</strong></em><br><strong>«</strong>0.0160 mol × 63.55 g mol<sup>–1</sup> =<strong>»</strong> 1.02 <strong>«</strong>g<strong>»  ✔</strong></p>
<p><strong>«</strong><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{0.872\,{\text{g}}}}{{1.02\,{\text{g}}}} \times 100 = ">
  <mfrac>
    <mrow>
      <mn>0.872</mn>
      <mspace width="thinmathspace"></mspace>
      <mrow>
        <mtext>g</mtext>
      </mrow>
    </mrow>
    <mrow>
      <mn>1.02</mn>
      <mspace width="thinmathspace"></mspace>
      <mrow>
        <mtext>g</mtext>
      </mrow>
    </mrow>
  </mfrac>
  <mo>×</mo>
  <mn>100</mn>
  <mo>=</mo>
</math></span><strong>» </strong>85.5<strong> «</strong>%<strong>»  ✔</strong></p>
<p> </p>
<p><em><strong>ALTERNATIVE 2:</strong></em><br><strong>«</strong><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{0.872\,{\text{g}}}}{{63.55\,{\text{g}}\,{\text{mo}}{{\text{l}}^{--1}}}} = ">
  <mfrac>
    <mrow>
      <mn>0.872</mn>
      <mspace width="thinmathspace"></mspace>
      <mrow>
        <mtext>g</mtext>
      </mrow>
    </mrow>
    <mrow>
      <mn>63.55</mn>
      <mspace width="thinmathspace"></mspace>
      <mrow>
        <mtext>g</mtext>
      </mrow>
      <mspace width="thinmathspace"></mspace>
      <mrow>
        <mtext>mo</mtext>
      </mrow>
      <mrow>
        <msup>
          <mrow>
            <mtext>l</mtext>
          </mrow>
          <mrow>
            <mo>−</mo>
            <mo>−</mo>
            <mn>1</mn>
          </mrow>
        </msup>
      </mrow>
    </mrow>
  </mfrac>
  <mo>=</mo>
</math></span><strong>»</strong> 0.0137 <strong>«</strong>mol<strong>»  ✔</strong></p>
<p><strong>«</strong><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{0.0137\,{\text{mol}}}}{{0.0160\,{\text{mol}}}} \times 100 = ">
  <mfrac>
    <mrow>
      <mn>0.0137</mn>
      <mspace width="thinmathspace"></mspace>
      <mrow>
        <mtext>mol</mtext>
      </mrow>
    </mrow>
    <mrow>
      <mn>0.0160</mn>
      <mspace width="thinmathspace"></mspace>
      <mrow>
        <mtext>mol</mtext>
      </mrow>
    </mrow>
  </mfrac>
  <mo>×</mo>
  <mn>100</mn>
  <mo>=</mo>
</math></span><strong>»</strong> 85.6 <strong>«</strong>%<strong>»  ✔</strong></p>
<p> </p>
<p><em>Accept answers in the range 85–86 %.</em></p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em><strong>ALTERNATIVE 1:</strong></em></p>
<p>q = <strong>«</strong>80.0 g × 4.18 J g<sup>–1</sup> K<sup>–1</sup> × 7.5 K =<strong>»</strong> 2.5 × 10<sup>3</sup> <strong>«</strong>J<strong>»</strong>/2.5 <strong>«</strong>kJ<strong>»</strong> ✔</p>
<p><strong>«</strong>per mol of CuSO<sub>4</sub> = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{ - 2.5\,{\text{kJ}}}}{{0.0160\,{\text{mol}}}} =  - 1.6 \times {10^2}">
  <mfrac>
    <mrow>
      <mo>−</mo>
      <mn>2.5</mn>
      <mspace width="thinmathspace"></mspace>
      <mrow>
        <mtext>kJ</mtext>
      </mrow>
    </mrow>
    <mrow>
      <mn>0.0160</mn>
      <mspace width="thinmathspace"></mspace>
      <mrow>
        <mtext>mol</mtext>
      </mrow>
    </mrow>
  </mfrac>
  <mo>=</mo>
  <mo>−</mo>
  <mn>1.6</mn>
  <mo>×</mo>
  <mrow>
    <msup>
      <mn>10</mn>
      <mn>2</mn>
    </msup>
  </mrow>
</math></span> kJ mol<sup>–1</sup><strong>»</strong></p>
<p><strong>«</strong>for the reaction<strong>»</strong> Δ<em>H</em> = –1.6 × 10<sup>2</sup> <strong>«</strong>kJ<strong>»</strong> ✔</p>
<p> </p>
<p><em><strong>ALTERNATIVE 2:</strong></em></p>
<p>q = <strong>«</strong>80.0 g × 4.18 J g<sup>–1</sup> K<sup>–1</sup> × 7.5 K =<strong>»</strong> 2.5 × 10<sup>3</sup> <strong>«</strong>J<strong>»</strong>/2.5 <strong>«</strong>kJ<strong>»</strong> ✔</p>
<p><strong>«</strong>n<sub>Cu</sub> = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{0.872}}{{63.55}}">
  <mfrac>
    <mrow>
      <mn>0.872</mn>
    </mrow>
    <mrow>
      <mn>63.55</mn>
    </mrow>
  </mfrac>
</math></span> = 0.0137 mol<strong>»</strong></p>
<p><strong>«</strong>per mol of CuSO<sub>4</sub> = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{ - 2.5\,{\text{kJ}}}}{{0.0137\,{\text{mol}}}} =  - 1.8 \times {10^2}">
  <mfrac>
    <mrow>
      <mo>−</mo>
      <mn>2.5</mn>
      <mspace width="thinmathspace"></mspace>
      <mrow>
        <mtext>kJ</mtext>
      </mrow>
    </mrow>
    <mrow>
      <mn>0.0137</mn>
      <mspace width="thinmathspace"></mspace>
      <mrow>
        <mtext>mol</mtext>
      </mrow>
    </mrow>
  </mfrac>
  <mo>=</mo>
  <mo>−</mo>
  <mn>1.8</mn>
  <mo>×</mo>
  <mrow>
    <msup>
      <mn>10</mn>
      <mn>2</mn>
    </msup>
  </mrow>
</math></span> kJ mol<sup>–1</sup><strong>»</strong></p>
<p><strong>«</strong>for the reaction<strong>»</strong> Δ<em>H</em> = –1.8 × 10<sup>2</sup> <strong>«</strong>kJ<strong>»</strong> ✔</p>
<p> </p>
<p><em>Award<strong> [2]</strong> for correct final answer.</em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>density <strong>«</strong>of solution<strong>»</strong> is 1.00 g cm<sup>−3</sup></p>
<p><em><strong>OR</strong></em></p>
<p>specific heat capacity <strong>«</strong>of solution<strong>»</strong> is 4.18 J g<sup>−1</sup> K<sup>−1</sup>/that of <strong>«</strong>pure<strong>»</strong> water</p>
<p><em><strong>OR</strong></em></p>
<p>reaction goes to completion</p>
<p><em><strong>OR</strong></em></p>
<p>iron/CuSO<sub>4</sub> does not react with other substances ✔</p>
<p> </p>
<p><em>The mark for “reaction goes to completion” can only be awarded if 0.0160 mol was used in part (b)(i).</em></p>
<p><em>Do <strong>not</strong> accept “heat loss”.</em></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em><strong>ALTERNATIVE 1:</strong></em></p>
<p><strong>«</strong><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="0.2\,^\circ {\text{C}} \times \frac{{100}}{{7.5\,^\circ {\text{C}}}} = ">
  <mn>0.2</mn>
  <msup>
    <mspace width="thinmathspace"></mspace>
    <mo>∘</mo>
  </msup>
  <mrow>
    <mtext>C</mtext>
  </mrow>
  <mo>×</mo>
  <mfrac>
    <mrow>
      <mn>100</mn>
    </mrow>
    <mrow>
      <mn>7.5</mn>
      <msup>
        <mspace width="thinmathspace"></mspace>
        <mo>∘</mo>
      </msup>
      <mrow>
        <mtext>C</mtext>
      </mrow>
    </mrow>
  </mfrac>
  <mo>=</mo>
</math></span><strong>»</strong> 3 %/0.03 ✔</p>
<p><strong>«</strong>0.03 × 160 kJ<strong>»</strong> = <strong>«</strong>±<strong>»</strong> 5 <strong>«</strong>kJ<strong>» </strong>✔</p>
<p> </p>
<p><em><strong>ALTERNATIVE 2:</strong></em></p>
<p><strong>«</strong><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="0.2\,^\circ {\text{C}} \times \frac{{100}}{{7.5\,^\circ {\text{C}}}} = ">
  <mn>0.2</mn>
  <msup>
    <mspace width="thinmathspace"></mspace>
    <mo>∘</mo>
  </msup>
  <mrow>
    <mtext>C</mtext>
  </mrow>
  <mo>×</mo>
  <mfrac>
    <mrow>
      <mn>100</mn>
    </mrow>
    <mrow>
      <mn>7.5</mn>
      <msup>
        <mspace width="thinmathspace"></mspace>
        <mo>∘</mo>
      </msup>
      <mrow>
        <mtext>C</mtext>
      </mrow>
    </mrow>
  </mfrac>
  <mo>=</mo>
</math></span><strong>»</strong> 3 %/0.03 ✔</p>
<p><strong>«</strong>0.03 × 180 kJ<strong>»</strong> = <strong>«</strong>±<strong>»</strong> 5 <strong>«</strong>kJ<strong>» </strong>✔</p>
<p> </p>
<p><em>Accept values in the range 4.1–5.5 «kJ».</em></p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<p> </p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p> </p>
<p> <img src="data:image/png;base64,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"></p>
<p>initial concentration is zero <em><strong>AND</strong> </em>concentration increases with time ✔</p>
<p>decreasing gradient as reaction proceeds ✔</p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>«</strong>draw a<strong>»</strong> tangent to the curve at time = 0 ✔</p>
<p><strong>«</strong>rate equals<strong>»</strong> gradient/slope <strong>«</strong>of the tangent<strong>»</strong> ✔</p>
<p> </p>
<p><em>Accept suitable diagram.</em></p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>piece has smaller surface area ✔</p>
<p> </p>
<p>lower frequency of collisions</p>
<p><em><strong>OR</strong></em></p>
<p>fewer collisions per second/unit time ✔</p>
<p> </p>
<p><em>Accept “chance/probability” instead of “frequency”.</em></p>
<p><em>Do <strong>not</strong> accept just “fewer collisions”.</em></p>
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Anode (positive electrode):</em></p>
<p>2H<sub>2</sub>O (l) → O<sub>2</sub> (g) + 4H<sup>+</sup> (aq) + 4e<sup>–</sup> ✔</p>
<p> </p>
<p><em>Cathode (negative electrode):</em></p>
<p>2H<sub>2</sub>O (l) + 2e<sup>–</sup> → H<sub>2</sub> (g) + 2OH<sup>–</sup> (aq)<br><em><strong>OR</strong></em><br>2H<sup>+</sup> (aq) + 2e<sup>–</sup> → H<sub>2</sub> (g) ✔</p>
<p> </p>
<p><em>Accept “4OH<sup>–</sup> (aq) → O<sub>2</sub> (g) + 2H<sub>2</sub>O (l)  + 4e<sup>–</sup>” <strong>OR </strong>“Fe<sup>2+</sup> (aq) → Fe<sup>3+</sup> (aq) + e<sup>–</sup>” for M1.</em></p>
<p><em>Accept “Fe<sup>2+</sup> (aq) + 2e<sup>–</sup> → Fe (s)” <strong>OR</strong> “SO<sub>4</sub><sup>2-</sup> (aq) 4H<sup>+</sup> (aq) + 2e<sup>–</sup> → 2H<sub>2</sub>SO<sub>3</sub>(aq) + H<sub>2</sub>O (l)”</em><br><em>for M2.</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;">
[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">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="question">
<p>The standard electrode potential of zinc can be measured using a standard hydrogen electrode (SHE).</p>
<p>Draw and annotate the diagram to show the complete apparatus required to measure the standard electrode potential of zinc.</p>
<p style="text-align:center;"><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAucAAAHkCAYAAACde4H7AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAByfSURBVHhe7d3Pjx53fQfwSf+AdSEHpGi9QLitk9Bbvak5QeJAckwiNRFViV1KQiXqzSEJIMWRWnAO7BakJjSySy9JikPFpWlsUughljccyCFg94BUxHrvwb6AxCHdz3gmz7OTx959nmeeZz/PPK+XtNrneb7za2e+M8/b48/M3PL+tgIAANh3f1L9BgAA9plwDgAASQjnAACQxI6a86WlxeoVAAAwDZubW9WrAeG8vxEAAJicZv5W1gIAAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI55DE0tJi9QqYR44BQBDOAQAgCeEcAACSEM4BACAJ4RwAAJIQzgEAIAnhHAAAkhDOAQAgCeEcAACSEM4BACAJ4RwAAJIQzgEAIAnhHAAAkhDOAQAgCeEcAACSEM4BACAJ4RwAAJIQzgEAIAnhHAAAkhDOAQAgCeEcAACSEM4BACAJ4RwAAJIQzgEAIAnhHAAAkhDOAQAgCeEcAACSEM4BACAJ4RwAAJIQzgEAIAnhHAAAkhDOAQAgCeEcAACSEM4BACAJ4RwAAJIQzgEAIAnhHAAAkhDOAQAgCeEcAACSEM4BACAJ4RwAAJIQzgEAIAnhHAAAkhDOAQAgCeEcAACSEM4BACAJ4RwAAJIQzgEAIAnhHAAAkhDOAQAgCeEcAACSEM4BACAJ4RwAAJIQzgGAPXn99f8slpYWb/pz9erVaujh3X//F4oLF96q3t1cDPvKKy9X76A7hHMAYE/uv/+BYnNz60M/r7zyatn+yCOPFgcOHChfD+vb3/7WdrhfKo4c+Uz1yc0988wz5Tjj/GMAMhLOYR9tbV0pXnvtbLG+vla+j9fxGcCsiHD89NNPlcH61Knnq0+HE9OIs+CPPvpo9cnuIsTfeeddxQsv/HP1CXSDcA77IAL4qVPfLu6+e6V48snVD8J5vI7PXn311eLatWvlZwCZxdnrzc3NHcE8PrvzzkPFiy++UP6OcpcjR+4uy2IGiYAdZ9z7z5pHWI9x6nKZRx75y+KXv3y3ar3ugQceKIdz9pwuEc5hSiKQnzz5bLGycrg4evTe4p13flE89tix4sSJ1fInxO/47Mc//o/ijjuWi/vuu7cM7s6mAxlFMI6fZ575+ofKUSIwv/XWW8WFCxfL0pelpY+XZ9gHBekI7f3jRwiPYfvLaMLjj3+l/F2LcWJ6Nwr9MIuEc5iwCNYPP/xgGcjjbPjJkyeLS5f+tzh79kfbr5/7UDiPz6Itvozi/ZUrV8qz6aurJ4R06KD6zHDzdXZxtjzOkEdAfvzxJ6pPd3riiSc+qEGPkpUI0hcaF3zGdOLnrrvuqj65/ln4zGf6z6S/Wgb9flFKEz/vvrvzjDrMMuEcJijOekewXl4+VGxs/LxYW1vfDun3Va27i2FjnIsXN6r395Z16UC3HDt2/IOfWRFnsSN4v/ji96tPPixqwmsRokPzzHldqlK3hwj8Me04e16XzdzIgQN/etN2mDXCOUxAnCE/fvxYcf78ueKNN86XZ8MXFhaq1uEtLh4sQ/rp0/9alsbEWXSA/RK15BGqn3jiqx+cGd+rQWUtoX868fr1198oy1piXlF7XtewD3KjacIsEs5hAo4ff6wsQYnylEOHDlWfjm9lZaU8A3/58iUBHdgXUZYSZ7Pjtonx05ZmwI4z6VHLHiV+r7/+X+VZ+Jhv1Lg3DfsPBMhMOIeWxZntOHMewXycs+U3EtOMacdZ+TNnTlefArQrSujiovR+EaCj1CSC8qi3TWyqS19uVpoSw9TlM80Qv7n52x0lMTDrhHNo0aVLl8ovtNOnz0wkmNdi2lHisrb2HReJAq2KY1jcVSp+P/vsc9Wn10WdeYTjm9WZDyuCdfz0X9QZZ8fjwtj+s+T1/cyPHDlS/g4R6GN5+i8mhVknnEOL4gLQ48f/pqwRn7QocYkLRk+fdvYcGF9/KI9rXOJ/6OI4U4sQHCUt8bv//uPNn1Fuaxi15THtWpTLRElLlLHU071w4UL5j4L+i0xjXlHS0mZ5Dey3W97fVr0uO399L1FgOFHKEvcm/9WvLo901nyU/S/O1MdtGuPWjMBsin2//y4tUa42ze/i62H8+oPQVldXi4ceerh8PU114I/w3bxf+s3cf/8Xtoc/UgZ5mFXN739nzqElGxsXi8OHD0+0nKUpLjZdWDhQhnSAYdRnyiOYRyjf2Hh7X4J5qM9+v/zyhy/2vJE4ax715nHHGOgS4Rxacvny5e0vururd9Nz8OCiR/0De5YplPeLs99xe8b+8pabeeGFF8px3KmFrhHOYcbFA47efvv6Q4oAbmRjY6O8+0q2UN4vngC617KWuL2iWnO6SDiHGeesEXAzEcrj2pR4NkLUtmcM5UCPC0LphLhLSvzst+Xl5eLcuZ9U74Yz6v5X/90nTqyWv4HZMqkLQiOUr69/p7hyZWvfLvQEdtf8/hfOIQnhHOZT2+G8DuVxoXjc2jWmPc0L1YHhNL//lbUAQAfU5SvHjz9WXpy+sfHz8h/tgjnMFuEcAGaYUA7dIpwDwAza2roilEMHCecAMEMilMedV44evVcohw4SzgFgBvSH8oMHDwrl0FHCOQAkVofyu+9eKd8L5dBtwjkAJNQM5RcvbhRra+tCOXSccA4AyQwK5YuLB8v3QLcJ5wCQxK9//evqlVAO80o4B4AkPvrRj5a/hXKYX8I5ACRx6623Vq+AeXXL+9uq1x96tj/Miui7WYy6D426/62vr5W/4+4NwOyJff/YsePVu6I4c+a072KYI83vf+EcWjLu/iOcw3wSzmG+Nb//lbUAAEASwjkAACQhnAMAQBLCOQAAJCGcAwBAEsI5AAAkIZwDAEASwjkAACQhnAMAQBLCOQAAJCGcAwBAEsI5nbC0tFi9Yt7pCz3WBUE/gNkinAMAQBLCOQAAJCGcAwBAEsI5AAAkIZwDAEASwjkAACQhnAMAQBLCOQAAJCGcAwBAEsI5AAAkIZwDAEASwjkAACQhnAMAQBLCOQAAJCGcAwBAEsI5AAAkccv726rXxdLSYrG5uVW9g9lR991XXnm5+qTnkUcerV4VE2kPMcy4y7DX8UP/MG+++Wb5+wc/+Lfydxh1GWqjtIdJz6O/PQwa5umnn3Icq4zap2ptbI9hpjGoPYw7jWHaw7TnEX32s5/9XPGJT3yifH/mzOni1Knny9f9Rl2GmH5Mr7kMQA7N/C2c0wkZ+u64yzDq+Ovra+XvEydWy9/zznGsx7qYDbGdjh07Xr27Hs7b3G76AeTW3EeVtQAAQBLCOQAAJKGshU6IvjuopnLc2tBR6jrDKNMYZvxQDxNlLe+++25xzz33lO9royxDv3Hbw37MQ815T71fhGlsrzDuNOZlHv3tsZ2i5rz205/+94eOZ+PM40bHRyCHZv4WzumEDH133GUYdXw15zs5jvVYF7MhtpOac5hfzX1UWQsAACQhnAMAQBLKWuiEuu9OujZ0UHuIYcZdhr2OH/qHcZ/zndSc94zap2ptbI9hpjGoPYw7jWHaw7TnEX3Wfc5hfjXzt3BOJ2Tou+Muw6jjqznfyXGsx7qYDbGd1JzD/Gruo8paAAAgCeEcAACSUNZCJ0TfHVRTOW5t6Ch1nWGUaQwzfqiHcZ/zncOoOe+p94swje0Vxp3GvMyjvz22k/ucw/xq5m/hnE7I0HfHXYZRx1dzvpPjWI91MRtiO6k5h/nV3EeVtQAAQBLCOQAAJKGshU6o++6ka0MHtYcYZtxl2Ov4oX8Y9znfSc15z6h9qtbG9hhmGoPaw7jTGKY9THse0Wfd5xzmVzN/C+d0Qoa+O+4yjDq+mvOdHMd6rIvZENtJzTnMr+Y+qqwFAACSEM4BACAJZS10QvTdQTWV49aGjlLXGUaZxjDjh3oY9znfOYya8556vwjT2F5h3GnMyzz622M7uc85zK9m/hbO6YQMfXfcZRh1fDXnOzmO9VgXsyG2k5pzmF/NfVRZCwAAJCGcAwBAEsI5AAAkoeacTqj77qQv3BrUHmKYcZdhr+OH/mE8hGgnF4T2jNqnam1sj2GmMag9jDuNYdrDtOcRfdZDiGB+NfO3cE4nZOi74y7DqOO7IHQnx7Ee62I2xHZyQSjMr+Y+qqwFAACSEM4BACAJZS10QvTdQTWV49aGjlLXGUaZxjDjh3oYDyHaOYya8556vwjT2F5h3GnMyzz622M7eQgRzK9m/hbO6YQMfXfcZRh1fDXnOzmO9VgXsyG2k5pzmF/NfVRZCwAAJCGcAwBAEspa6IS67066NnRQe4hhxl2GvY4f+odxn/Od1Jz3jNqnam1sj2GmMag9jDuNYdrDtOcRfdZ9zmF+NfO3cE4nZOi74y7DqOOrOd/JcazHupgNsZ3UnMP8au6jyloAACAJ4RwAAJJQ1kInRN8dVFM5bm3oKHWdYZRpDDN+qIdxn/Odw6g576n3izCN7RXGnca8zKO/PbaT+5zD/Grmb+GcTsjQd8ddhlHHV3O+k+NYj3UxG2I7qTmH+dXcR5W1AABAEsI5AAAkoayFTqj77qRrQwe1hxhm3GXY6/ihfxj3Od9JzXnPqH2q1sb2GGYag9rDuNMYpj1Mex7RZ93nHOZXM38L53RChr477jKMOr6a850cx3qsi9kQ20nNOcyv5j6qrAUAAJIQzgEAIAllLXRC9N1BNZXj1oaOUtcZRpnGMOOHehj3Od85jJrznnq/CNPYXmHcaczLPPrbYzu5zznMr2b+Fs7phP3su9euXSvOnz9XPPnkavHDH75WrKysVC3DGfVviHB+6dKl4tChQ8Xhwysjz78rHMd6rIvZENtJzTnMr+Y+qqwFRhSh/OTJZ4s77ljeDufnq0+nLwL5pz71qeLq1avF6uqJ7XB+uPzHAgAwe4RzGEGcqX744QeLra2t4uLFjeL06TPlv3r346x1zPOZZ76+/Q+F54qNjbeLtbX1MqTHDwAwW4RzGNLW1pUymC8vHypD+eLiwaolhwjrGxs/Ly5fviSgA8CMUXNOJ9R9d9IXbkX7d7/7T8Vtt91WPPTQw9Wn7cxjr39D2Ms8fv/73xff+953i7/4iyPFkSNHWlnG2qD2MOl59LeHQcO4ILSn7T7V1PY0BrWHcacxTHuY9jyiz3oIEcyvZv4WzumEafXduPgy6rnPnftJ9Ul7JvE3RPnN5z9/tHjjjfPlBaPzwHGsx7qYDbGdXBAK86u5jyprgT2KcpYI51HKMisikMeTQ5977tnqEwAgM+Ec9mhtba148MGHWqkxj38lN38Gfd6GOCN35cpWsbGxUX0CAGSlrIVOiL47qKZy3NrQuv29994rnn/+VPHUU08XX/3q35WfhUHjh93mETWg//gP3ypf/3Zzs/z90kvfL7785a+Urz++tFR845tfL/fHUefR3x4Xhr7zzi+2p/+31SejrYd+u7WH/ZiHmvOeer8I09heYdxpzMs8+ttjO3kIEcyvZv4WzumESffduJ953Nc8blPYhljeOpzXIoz3f1aH8zbEsq+s/Hlx9uyPOl977jjWY13MhthOas5hfjX3UWUtsAevvXZ2x5fnrFlYWCjvLhNf+gBAXs6c0wnRd+v/vu83zH8Lh0HD3HrrrcXJkyfLB/yM81/LoW6P0ou6hCXUZSxx5ry/zGWvJQm7tYdPf/rPyvuzf+Mb36w+6dnLehh3GfayjG3Mw3Gsp14XGbZXmMRytL2c+zGPOB40z5w3j2f944dh5qHUC3Jrfm8J53TCJPtu1GtHKUibZ85jeadZ1lKLR/vHPzSOHr2v+qR7HMd6rIvZENtJWQvMr+Y+qqwFdhH3NT98ePqP5Z+Eo0ePbv8956t3AEA2wjncRDzEZ2HhQGcuoowz5m6pCAB5KWuhE6LvtnHrsdA/zJe+9NfF73733kQe1V+XsIxyK8VxliHuPPOzn/3PB/drHzR+aOPvrO3WHtqah/rannq/CG1ur0HtoY1h2mwPk57HoPYwzDRiOzVvpdjfh8edh+92yK25jwrndMKk+u7x48fKUpD+cN6GWN79qDkPcVFo/D1t/01ZOI71WBezIbaTmnOYX819VFkL3MTGxsViZWU69ebNsD4pKyt3l+U6AEA+wjncwNbWlfJ3G4/rzyQubr18WTgHgIyEc7iBOLvcxadpxt/09ttvV+8AgEzUnNMJ0XfbfgjRm2++WfzhD38oXn3136tPdp/GXtsHPYSoNqmHENXDRPvzz58qvvjFvypuu+228rP+8cMo82hzGcOo83Ac66nXRYbtFSaxHG0v537Mw0OIYL41v7eEczphEn03LgaNevM2Hz5Ui+XdrcZ8UheEhrgoNP6uLj6MyHGsx7qYDbGdXBAK86u5jyprgRu4du1qsbzcvbKWEH/X5cuXq3cAQBbCOdxA1GV3seY8HDhwoLh69Wr1DgDIQlkLnRB9t+2HENXTbBp3HtEe024+hKjfJB9CFD75yduL9fXvFGfP/mhge2jj76zt1h7amof62p7+Ptzm9hrUHtoYps32MOl5DGoPw0wjtpOHEMH8au6jwjmd0HbfjTu1PPnkieLcuZ9Un7Qrlnc/a87jEf7PPffsxP6+/eQ41mNdzIbYTmrOYX4191FlLTDAtWvXioWFhepd98SFrmrOASAf4RwGiItBFxYOVO8AAKZDWQudEH133PrwUA8T9zgP99xzz1DT2Gv7ft/nPJw8+Wzxta/9ffGRj3xkx/hhlHm0uYxh1Hk4jvXU6yLD9gqTWI62l3M/5uE+5zDfmt9bwjmd0HbfXV9fK3+fOLFa/m5bLO9+1pyHuNf5iRNPliUuXeI41mNdzIbYTmrOYX4191FlLQAAkIRwDgPE3VqWl5erdwAA06GshU6Ivhs1muPUfdZimLrk4ze/+b/q055x5xHtsbz7eZ/zaF9dPVGWtPzxj3+sPt2pjXnUdmsPbc1DfW1PvV+ENrfXoPbQxjBttodJz2NQexhmGrGd3Occ5ldzHxXO6YS2++6k67Fjefe75nzSdfX7xXGsx7qYDbGd1JzD/Gruo8paAAAgCeEcAACSUNZCJ0TfbfM+5y+99C/F5z53T3H77bcPNY29tme4z/mN7uUeRplHm8sYRp2H41hPvS4ybK8wieVoezn3Yx7ucw7zrfm9JZzTCW33XTXns8txrMe6mA2xndScw/xq7qPKWgAAIAnhHPZJnBm/2Q8AMH+UtdAJ0Xdn6T7n/cadxqjtdVnLxz72sfJ30zSWoV9b81Bf21PvF6HN7TWoPbQxTJvtYdLzGNQehplGbKem/j487jx8t0NuzX1UOKcT2u67k645z0DNefdZFwT9AHJr7qPKWgAAIAnhHAAAkhDOAQAgCTXndEL03Vl6CFHTNOdRt3sIUffV6yLD9gqTWI62lzPrPPrbwzDTcJE05Nb83hLO6YS2+64LQmeX41iPdUHQDyC35j6qrAUAAJIQzmGA5eVDxcLCQvWumxYXF8sfACAPZS10QvTdNh9CVBtlGsO0h0nPY5T2MM1lCG3NQ31tT71fhDa316D20MYwbbaHSc9jUHvINA/f7ZBbcx8VzukEfZeavtBjXRD0A8ituY8qawEAgCSEcwAASEJZC50QfbfN+5z3G2Yao7SHac5jt/HDJJZhmGUMo87DcaynXhcZtleYxHK0vZxZ59HfHoaZhuswILfm95ZwTifou9T0hR7rgqAfQG7NfVRZCwAAJCGcAwBAEspa6ITou+5z3jNue5jmMoS25qG+tqfeL0Kb22tQe2hjmDbbw6TnMag9ZJqH73bIrbmPCud0gr5LTV/osS4I+gHk1txHlbUAAEASwjkAACShrIVOiL476/c5r/e/Sc4j7DZ+mMQyDLOMYdR5OI71TKtPhd2mESaxHG0vZ9Z59LeHYabhOgzIrfm9JZzTCfouNX2hx7og6AeQW3MfVdYCAABJCOcAAJCEshY6Ifou1BzHrrNfULNPQF7N/C2cAwDAPmnmb2UtAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQhHAOAABJCOcAAJCEcA4AAEkI5wAAkIRwDgAASQjnAACQxC3vb6teF0tLi9UrAABgGjY3t6pXjXAOAADsH2UtAACQhHAOAAApFMX/A5m5GUTRpBnRAAAAAElFTkSuQmCC"></p>
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<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p><img 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" width="476" height="305"></p>
<p>H<sub>2 </sub>(g) entering at «298 K and» 100 kPa ✔</p>
<p>platinum electrode on left ✔</p>
<p>voltmeter connecting electrodes <em><strong>AND</strong> </em>salt bridge connecting electrolytes ✔</p>
<p>1 mol dm<sup>–3</sup> H<sup>+</sup> on the left <em><strong>AND</strong></em> 1 mol dm<sup>–3 </sup>Zn<sup>2+</sup> on the right ✔</p>
<p> </p>
<p><em>Voltmeter and salt bridge need to be drawn but not necessarily annotated for <strong>M3</strong>.</em></p>
<p><em>Concentrations, but not state symbols, required for <strong>M4</strong>.</em></p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="specification">
<p>Magnesium is a reactive metal often found in alloys.</p>
</div>

<div class="specification">
<p>Magnesium is sometimes used as a sacrificial anode to protect steel from corrosion.</p>
</div>

<div class="specification">
<p>A graph of the volume of gas produced by reacting magnesium with a large excess of 1&thinsp;mol&thinsp;dm<sup>&ndash;3</sup> hydrochloric acid is shown.</p>
<p><img style="display: block; margin-left: auto; margin-right: auto;" 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" width="507" height="331"></p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest an experiment that shows that magnesium is more reactive than zinc, giving the observation that would confirm this.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the standard potential, in V, of a cell formed by magnesium and steel half-cells. Use section 24 of the data booklet and assume steel has the standard electrode potential of iron.</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>Calculate the free energy change, Δ<em>G</em><sup>⦵</sup>, in kJ, of the cell reaction. Use sections 1 and 2 of the data booklet.</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>This cell causes the electrolytic reduction of water on the steel. State the half-equation for this reduction.</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>Use the graph to deduce the dependence of the reaction rate on the amount of Mg.</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>The reaction is first order with respect to HCl. Calculate the time taken, in seconds (s), for half of the Mg to dissolve when [HCl] = 0.5 mol dm<sup>–3</sup>.</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>Carbonates also react with HCl and the rate can be determined by graphing the mass loss. Suggest why this method is less suitable for the reaction of Mg with HCl.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c(iii).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><em><strong>Alternative 1</strong></em></p>
<p>put Mg in Zn<sup>2+</sup>(aq) ✔</p>
<p>Zn/«black» layer forms «on surface of Mg» ✔</p>
<p><em><br>Award <strong>[1 max]</strong> for “no reaction when Zn placed in Mg<sup>2+</sup>(aq)”.</em></p>
<p> </p>
<p><em><strong>Alternative 2</strong></em></p>
<p>place both metals in acid ✔</p>
<p>bubbles evolve more rapidly from Mg<br><em><strong>OR</strong></em><br>Mg dissolves faster ✔</p>
<p> </p>
<p><em><strong>Alternative 3</strong></em></p>
<p>construct a cell with Mg and Zn electrodes ✔</p>
<p><em><br>Accept “electrons flow from Mg to Zn”. </em></p>
<p><em>Accept Mg is negative electrode/anode </em><br><em><strong>OR</strong> </em><br><em>Zn is positive electrode/cathode</em></p>
<p><br>bulb lights up<br><em><strong>OR</strong></em><br>shows (+) voltage<br><em><strong>OR</strong></em><br>size/mass of Mg(s) decreases &lt;&lt;over time&gt;&gt;<br><em><strong>OR</strong></em><br>size/mass of Zn increases &lt;&lt;over time&gt;&gt;</p>
<p><em><br>Accept other correct methods.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Cell potential: «(–0.45 V – (–2.37 V)» = «+»1.92 «V» ✔</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«Δ<em>G</em>º = -nFEº»<br>n = 2<br><em><strong>OR</strong></em><br>Δ<em>G</em>º = «-»2×96500×1.92 / «-»370,560 «J» ✔</p>
<p>-371 «kJ» ✔</p>
<p> </p>
<p><em>For n = 1, award [1] for –185 «kJ».</em></p>
<p><em>Award <strong>[1 max]</strong> for (+)371 «kJ»</em></p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>2 H<sub>2</sub>O + 2 e<sup>-</sup> → H<sub>2</sub> + 2 OH<sup>-</sup> ✔</p>
<p><em><br>Accept equation with equilibrium arrows.</em></p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>independent / not dependent ✔</p>
<p> </p>
<p><em>Accept “zero order in Mg”.</em></p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«2×170 s» = 340 «s» ✔</p>
<p> </p>
<p><em>Accept 320 – 360 «s».</em></p>
<p><em>Accept 400 – 450 «s» based on no more gas being produced after 400 to 450s.</em></p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«relative/percentage» decrease in mass is «too» small/«much» less ✔</p>
<p><em><br>Accept “«relative/percentage» uncertainty in mass loss «too» great”. <strong>OR</strong> “density/molar mass of H<sub>2</sub> is «much» less than CO<sub>2</sub>”.</em></p>
<div class="question_part_label">c(iii).</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Mediocre performance; some experiments would not have worked such as adding magnesium to zinc salt without reference to aqueous environment, adding Zn to magnesium ions, or Mg combustion reaction being more exothermic. In the last one, an inference wad made instead of identifying an observation or measuring temperature using a thermometer or a temperature probe.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Good performance; instead of <em>E</em>° = 1.92 V, answer such as −1.92 V + or −2.82 V showed a lack of understanding of how to calculate <em>E</em>° cell.</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Satisfactory performance; two major challenges in applying the equation Δ<em>G</em>° = −n<em>FE</em>° from the data booklet included:</p>
<p>Using n = 1, not 2, the number of electrons transferred in the redox reaction.</p>
<p>ΔG° unit from the equation is in J; some did not convert J to kJ as asked for.</p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Mediocre performance; some candidates had difficulty writing the reduction half-equation for water, the typical error included O<sub>2</sub>(g) gas in the reactant or product, rather than H<sub>2</sub>(g) in the product or including an equation with Fe(s) and H<sub>2</sub>O(l) as reactants.</p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Candidates found this to be a tough question (see comments for parts (ii) and (iii)).</p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Mediocre performance in calculating time from the graph for the data provided. Some wrote the rate expression, which only contains [HCl] and not mass or amount in mol Mg (as a solid, [Mg] is constant). This presented a challenge in arriving at a reasonable answer.</p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Poorly done; many candidates did not grasp the question and answer it appropriately. Candidates generally did not realize that decrease in mass (due to H<sub>2</sub>(g) as a product for the reaction of Mg with HCl) is «too» small/«much» less compared to that of CO<sub>2</sub>(g) from the reaction of carbonates with HCl.</p>
<div class="question_part_label">c(iii).</div>
</div>
<br><hr><br><div class="question">
<p><span style="background-color: #ffffff;">An aqueous solution of silver nitrate, AgNO<sub>3</sub> (aq), can be electrolysed using platinum electrodes.</span></p>
<p><span style="background-color: #ffffff;">Formulate the half-equations for the reaction at each electrode during electrolysis.</span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Cathode (negative electrode):</span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Anode (positive electrode):</span></span></span></p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p><span style="background-color: #ffffff;"><em>Cathode (negative electrode):</em><br>Ag<sup>+</sup> (aq) + e<sup>−</sup> → Ag (s)    <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;"><br><em>Anode (positive electrode):</em><br>2H<sub>2</sub>O(l) → O<sub>2</sub> (g) + 4H<sup>+</sup> (aq) + 4e<sup>−</sup>    <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Accept 4OH<sup>−</sup> (aq) → O<sub>2</sub> (g) + 2H<sub>2</sub>O(l) + 4e<sup>−</sup></span></em></p>
<p><em><span style="background-color: #ffffff;">Accept multiple or fractional coefficients in both half-equations.</span></em></p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
<p>Very few answers were correct, even for stronger candidates. Many failed to formulate the correct half equation for the reaction at the anode and used the nitrate ion instead of oxidation of H<sub>2</sub>O. Some candidates lost one of the marks for using equilibrium arrows in an electrolysis equation.</p>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">This question is about iron.</span></p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Deduce the <strong>full</strong> electron configuration of Fe<sup>2+</sup>.</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;">Explain why, when ligands bond to the iron ion causing the d-orbitals to split, the complex is coloured.</span></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><span style="background-color: #ffffff;">State the nuclear symbol notation, <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{}_{\text{Z}}^{\text{A}}{\text{X}}">
  <msubsup>
    <mrow>

    </mrow>
    <mrow>
      <mtext>Z</mtext>
    </mrow>
    <mrow>
      <mtext>A</mtext>
    </mrow>
  </msubsup>
  <mrow>
    <mtext>X</mtext>
  </mrow>
</math></span>, for iron-54.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Mass spectrometry analysis of a sample of iron gave the following results:</span></p>
<p><span style="background-color: #ffffff;"><img src="images/6d.PNG" alt width="269" height="186"></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Calculate the relative atomic mass, A<sub>r</sub>, of this sample of iron to two decimal places.</span></span></p>
<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;">An iron nail and a copper nail are inserted into a lemon.</span></p>
<p><span style="background-color: #ffffff;"><img src="images/6e.PNG" alt width="400" height="250"></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Explain why a potential is detected when the nails are connected through a voltmeter.</span></span></p>
<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;">Calculate the standard electrode potential, in V, when the Fe<sup>2+</sup> (aq) | Fe (s) and Cu<sup>2+</sup> (aq) | Cu (s) standard half-cells are connected at 298 K. Use section 24 of the data booklet.</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 style="background-color: #ffffff;">Calculate ΔG<sup>θ</sup>, in kJ, for the spontaneous reaction in (f)(i), using sections 1 and 2 of the data booklet.</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;">Calculate a value for the equilibrium constant, K<sub>c</sub>, at 298 K, giving your answer to two significant figures. Use your answer to (f)(ii) and section 1 of the data booklet. </span></p>
<p><span style="background-color: #ffffff;">(If you did not obtain an answer to (f)(ii), use −140 kJ mol<sup>−1</sup>, but this is not the correct value.)</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">f(iii).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">1s<sup>2</sup> 2s<sup>2</sup> 2p<sup>6</sup> 3s<sup>2</sup> 3p<sup>6</sup> 3d<sup>6</sup>   <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;">«frequency/wavelength of visible» light absorbed by electrons moving between d levels/orbitals    <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">colour due to remaining frequencies<br><em><strong>OR</strong></em><br>complementary colour transmitted    <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</span></span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{}_{{\text{26}}}^{{\text{54}}}{\text{Fe}}">
  <msubsup>
    <mrow>

    </mrow>
    <mrow>
      <mrow>
        <mtext>26</mtext>
      </mrow>
    </mrow>
    <mrow>
      <mrow>
        <mtext>54</mtext>
      </mrow>
    </mrow>
  </msubsup>
  <mrow>
    <mtext>Fe</mtext>
  </mrow>
</math></span>     <strong>[✔]</strong></span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«A<sub>r</sub> =» 54 × 0.0584 + 56 <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">×</span> 0.9168 + 57 <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">×</span> 0.0217 + 58 <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">×</span> 0.0031</span></p>
<p><span style="background-color: #ffffff;"><em><strong>OR</strong></em></span></p>
<p><span style="background-color: #ffffff;">«A<sub>r</sub> =» 55.9111    <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">«A<sub>r</sub> =» 55.91    <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>[2]</strong> for correct final answer</span></em></p>
<p><em><span style="background-color: #ffffff;"><br>Do <strong>not</strong> accept data booklet value (55.85).</span></em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">lemon juice is the electrolyte<br><em><strong>OR</strong></em><br>lemon juice allows flow of ions<br><em><strong>OR</strong></em><br>each nail/metal forms a half-cell with the lemon juice    <strong>[✔]</strong></span></p>
<p> </p>
<p><span style="background-color: #ffffff;"><em>Any one of:</em><br>iron is higher than copper in the activity series<br><em><strong>OR</strong></em><br>each half-cell/metal has a different redox/electrode potential     <strong style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</strong></span></p>
<p> </p>
<p><span style="background-color: #ffffff;">iron is oxidized<br><strong><em>OR</em></strong><br>Fe → Fe<sup>2+</sup> + 2e<sup>−</sup><br><em><strong>OR</strong></em><br>Fe → Fe<sup>3+</sup> + 3e<sup>−</sup><br><em><strong>OR</strong></em><br>iron is anode/negative electrode of cell   <strong 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><span style="background-color: #ffffff;">copper is cathode/positive electrode of cell<br><em><strong>OR</strong></em><br>reduction occurs at the cathode<br><em><strong>OR</strong></em><br>2H<sup>+</sup> + 2e<sup>−</sup> → H<sub>2</sub>   <strong 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><span style="background-color: #ffffff;"><br>electrons flow from iron to copper   <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>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«E<sup>θ</sup> = +0.34 V −(−0.45 V) = +»0.79 «V»   <strong>[✔]</strong></span></p>
<div class="question_part_label">f(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«ΔG</span><sup>θ</sup> <span style="background-color: #ffffff;">= −nFE<sup>θ</sup> = −2mol × 96 500 C mol<sup>−1</sup> <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 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{{0.79{\text{ J }}{{\text{C}}^{ - 1}}}}{{1000}}">
  <mfrac>
    <mrow>
      <mn>0.79</mn>
      <mrow>
        <mtext> J </mtext>
      </mrow>
      <mrow>
        <msup>
          <mrow>
            <mtext>C</mtext>
          </mrow>
          <mrow>
            <mo>−</mo>
            <mn>1</mn>
          </mrow>
        </msup>
      </mrow>
    </mrow>
    <mrow>
      <mn>1000</mn>
    </mrow>
  </mfrac>
</math></span> =» −152 «kJ»    <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Accept range 150−153 kJ.</span></em></p>
<div class="question_part_label">f(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«ln<em>K<sub>c</sub></em> = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" - \frac{{\Delta {G^\theta }}}{{RT}} = - \frac{{ - 152 \times {{10}^3}{\text{ Jmo}}{{\text{l}}^{ - 1}}}}{{8.31{\text{J}}{{\text{K}}^{ - 1}}{\text{mo}}{{\text{l}}^{ - 1}} \times 298{\text{K}}}}">
  <mo>−</mo>
  <mfrac>
    <mrow>
      <mi mathvariant="normal">Δ</mi>
      <mrow>
        <msup>
          <mi>G</mi>
          <mi>θ</mi>
        </msup>
      </mrow>
    </mrow>
    <mrow>
      <mi>R</mi>
      <mi>T</mi>
    </mrow>
  </mfrac>
  <mo>=</mo>
  <mo>−</mo>
  <mfrac>
    <mrow>
      <mo>−</mo>
      <mn>152</mn>
      <mo>×</mo>
      <mrow>
        <msup>
          <mrow>
            <mn>10</mn>
          </mrow>
          <mn>3</mn>
        </msup>
      </mrow>
      <mrow>
        <mtext> Jmo</mtext>
      </mrow>
      <mrow>
        <msup>
          <mrow>
            <mtext>l</mtext>
          </mrow>
          <mrow>
            <mo>−</mo>
            <mn>1</mn>
          </mrow>
        </msup>
      </mrow>
    </mrow>
    <mrow>
      <mn>8.31</mn>
      <mrow>
        <mtext>J</mtext>
      </mrow>
      <mrow>
        <msup>
          <mrow>
            <mtext>K</mtext>
          </mrow>
          <mrow>
            <mo>−</mo>
            <mn>1</mn>
          </mrow>
        </msup>
      </mrow>
      <mrow>
        <mtext>mo</mtext>
      </mrow>
      <mrow>
        <msup>
          <mrow>
            <mtext>l</mtext>
          </mrow>
          <mrow>
            <mo>−</mo>
            <mn>1</mn>
          </mrow>
        </msup>
      </mrow>
      <mo>×</mo>
      <mn>298</mn>
      <mrow>
        <mtext>K</mtext>
      </mrow>
    </mrow>
  </mfrac>
</math></span> =» 61.38    <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;"><em>K</em> = 4.5 × 10<sup>26</sup>    <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Accept answers in range 2.0 <span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">×</span> 10<sup>26</sup> to 5.5 <span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">×</span> 10<sup>26</sup>.</span></em></p>
<p><em><span style="background-color: #ffffff;">Do <strong>not</strong> award M2 if answer not given to two significant figures.</span></em></p>
<p><span style="background-color: #ffffff;"><em>If −140 kJmol<sup>−1</sup> used, answer is 3.6 <span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">×</span> 10<sup>24</sup></em>.</span></p>
<div class="question_part_label">f(iii).</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Done fairly well with common mistakes leaving in the 4s<sup>2</sup> electrons as part of Fe<sup>2+</sup> electron configuration, or writing 4s<sup>1</sup> 3d<sup>5</sup></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This was poorly answered and showed a clear misconception and misunderstanding of the concepts. Most of the candidates failed to explain why the complex is coloured and based their answers on the emission of light energy when electrons fall back to ground state and not on light absorption by electrons moving between the split d-orbitals and complementary colour transmitted of certain frequencies.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Many candidates wrote the nuclear notation for iron as Z over A.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This question on average atomic mass was the best answered question on the exam. A few candidates did not write the answer to two decimal places as per instructions.</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Very few candidates scored M1 regarding the lemon juice role as electrolyte. Some earned M2 but a lot of answers were too vague, such as ‘electrons move through the circuit’, <em>etc</em>.</p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Only 50 % of candidates earned this relatively easy mark on calculate EMF from 2 half-cell electrode potentials.</p>
<div class="question_part_label">f(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Average performance; typical errors were using the incorrect value for n, the number of electrons, or not using consistent units and making a factor of 1000 error in the final answer.</p>
<div class="question_part_label">f(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This question was left blank by quite a few candidates. Common errors included not using correct units, or more often, calculation error in converting ln <em>K</em><sub>c</sub> into <em>K</em><sub>c</sub> value.</p>
<div class="question_part_label">f(iii).</div>
</div>
<br><hr><br><div class="specification">
<p>Standard electrode potential values, <em>E</em><sup>⦵</sup>, can be used to predict spontaneity.</p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Iron(II) is oxidized by bromine.</p>
<p style="text-align:center;">2Fe<sup>2+</sup> (aq) + Br<sub>2</sub> (l) <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⇌</mo></math> 2Fe<sup>3+</sup> (aq) + 2Br<sup>−</sup> (aq)</p>
<p>Calculate the <em>E</em><sup>⦵</sup><sub>cell</sub>, in V, for the reaction using section 24 of the data booklet.</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>Determine, giving a reason, if iodine will also oxidize iron(II). </p>
<div class="marks">[1]</div>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Molten zinc chloride undergoes electrolysis in an electrolytic cell at 450 °C.</p>
<p>Deduce the half-equations for the reaction at each electrode.</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">b(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the overall cell reaction including state symbols. Use section 7 of the data booklet.</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>«<math xmlns="http://www.w3.org/1998/Math/MathML"><msub><msup><mi>E</mi><mo>⦵</mo></msup><mtext>cell</mtext></msub></math> = 1.09 – 0.77 =» 0.32 «V» ✔</p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«2Fe<sup>2+</sup> (aq) + <math xmlns="http://www.w3.org/1998/Math/MathML"><mtext>I</mtext></math><sub>2 </sub>(s) → 2Fe<sup>3+</sup> (aq) + 2<math xmlns="http://www.w3.org/1998/Math/MathML"><mtext>I</mtext></math><sup>–</sup> (aq) »</p>
<p>no/non-spontaneous <em><strong>AND</strong> </em><math xmlns="http://www.w3.org/1998/Math/MathML"><msub><msup><mi>E</mi><mover><mtext>O</mtext><mo>¨</mo></mover></msup><mtext>cell</mtext></msub></math> «= 0.54 – 0.77 »= –0.23 «V»/ <math xmlns="http://www.w3.org/1998/Math/MathML"><msup><mi>E</mi><mover><mtext>O</mtext><mo>¨</mo></mover></msup><mo>&lt;</mo><mn>0</mn></math><br><em><strong>OR</strong></em><br>no <em><strong>AND</strong> </em>reduction potential of <math xmlns="http://www.w3.org/1998/Math/MathML"><mtext>I</mtext></math><sub>2</sub> lower «than Fe3<sup>+</sup> »/ 0.54 &lt;0.77 ✔</p>
<p> </p>
<p><em>Accept “standard electrode potential of <math xmlns="http://www.w3.org/1998/Math/MathML"><mi>I</mi></math><sub>2</sub> lower /less positive than iron”.</em></p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Cathode (negative electrode):</p>
<p>Zn<sup>2+</sup> + 2e<sup>−</sup> → Zn (l) ✔</p>
<p> </p>
<p>Anode (positive electrode):</p>
<p>2Cl<sup>−</sup> → Cl<sub>2</sub> (g) + 2e<sup>−</sup><br><em><strong>OR</strong></em><br>Cl<sup>−</sup> → ½ Cl<sub>2</sub> (g) + e<sup>−</sup> ✔</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>ZnCl<sub>2</sub> (l) → Zn (l) + Cl<sub>2</sub> (g)</p>
<p>balanced equation ✔</p>
<p>correct state symbols ✔</p>
<p> </p>
<p><em>Accept ionic equation.</em></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;">
<p>Only 50% got this straightforward calculation right, the most common error being to multiply both <em>E</em><sub>0</sub> values by 2, reflecting a lack of practice with this type of exercises.</p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Only 10% were able to correctly justify the feasibility of the reaction with I<sub>2</sub>; the MS showed the best answer using the E(v) values but also allowed simpler explanations referring to E<sub>0</sub> of iron; even then many candidates wrote Fe<sup>+2</sup> instead of Fe<sup>+3</sup>, understandably perhaps as this was mentioned in the question. However, it also revealed some difficulty in using and understanding data from the <em>E</em><sub>0</sub> table in the data booklet.</p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>3(bi)/(bii) Answers to both these questions revealed that many candidates struggle to conceptualize the equations that describe electrolysis. The question asked for products of the easiest case of electrolysis, a molten salt. However, many candidates proposed oxidation or reduction equations at both electrodes, or Zn and Cl<sub>2</sub> (with no charge) as the initial species rather than the product; the average mark was 1.2/2 as only 55% answered correctly.</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>3(bi)/(bii) Answers to both these questions revealed that many candidates struggle to conceptualize the equations that describe electrolysis. The question asked for products of the easiest case of electrolysis, a molten salt. However, many candidates proposed oxidation or reduction equations at both electrodes, or Zn and Cl<sub>2</sub> (with no charge) as the initial species rather than the product; the average mark was 1.2/2 as only 55% answered correctly.</p>
<p>The determination of the states proved to be even more difficult, with many stating the ions were aqueous in spite of the fact that the question is clearly about molten zinc chloride. Allowing ECF for the overall equation allowed marks for many candidates, but very few realised that both ionic species in ZnCl<sub>2</sub> were actually liquid (being a molten salt). As a result, correct answers were below 45% and the average mark was 0.9/2.</p>
<div class="question_part_label">b(ii).</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Rhenium, Re, was the last element with a stable isotope to be isolated.</span></p>
</div>

<div class="specification">
<p><span style="background-color: #ffffff;">Before its isolation, scientists predicted the existence of rhenium and some of its properties.</span></p>
</div>

<div class="specification">
<p><span style="background-color: #ffffff;">One chloride of rhenium has the empirical formula ReCl<sub>3</sub>.</span></p>
</div>

<div class="specification">
<p><span style="background-color: #ffffff;">Rhenium forms salts containing the perrhenate(VII) ion, ReO<sub>4</sub><sup>−</sup>.</span></p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">The stable isotope of rhenium contains 110 neutrons.</span></p>
<p><span style="background-color: #ffffff;">State the nuclear symbol notation <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{}_{\text{Z}}^{\text{A}}{\text{X}}">
  <msubsup>
    <mrow>

    </mrow>
    <mrow>
      <mtext>Z</mtext>
    </mrow>
    <mrow>
      <mtext>A</mtext>
    </mrow>
  </msubsup>
  <mrow>
    <mtext>X</mtext>
  </mrow>
</math></span> for this isotope.</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;">Suggest the basis of these predictions.</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 style="background-color: #ffffff;">A scientist wants to investigate the catalytic properties of a thin layer of rhenium </span><span style="background-color: #ffffff;">metal on a graphite surface.<br></span></p>
<p><span style="background-color: #ffffff;">Describe an electrochemical process to produce a layer of rhenium on graphite.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Predict <strong>two</strong> other chemical properties you would expect rhenium to have, given its position in the periodic table.</span></p>
<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><span style="background-color: #ffffff;">Describe how the relative reactivity of rhenium, compared to silver, zinc, and copper, can be established using pieces of rhenium and solutions of these metal sulfates.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">State the name of this compound, applying IUPAC rules.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Calculate the percentage, by mass, of rhenium in ReCl<sub>3</sub>.</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;">Suggest why the existence of salts containing an ion with this formula could be predicted. Refer to section 6 of the data booklet.</span></p>
<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;">Deduce the coefficients required to complete the half-equation.</span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">ReO<sub>4</sub><sup>−</sup> (aq) + ____H<sup>+</sup> (aq) + ____e<sup>−</sup> ⇌ [Re(OH)<sub>2</sub>]<sup>2+</sup> (aq) + ____H<sub>2</sub>O (l)        E<sup>θ</sup> = +0.36 V</span></span></p>
<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;">Predict, giving a reason, whether the reduction of ReO<sub>4</sub><sup>−</sup> to [Re(OH)<sub>2</sub>]<sup>2+</sup> would oxidize Fe<sup>2+</sup> to Fe<sup>3+</sup> in aqueous solution. Use section 24 of the data booklet.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">e(iii).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{}_{{\text{75}}}^{{\text{185}}}{\text{Re}}">
  <msubsup>
    <mrow>

    </mrow>
    <mrow>
      <mrow>
        <mtext>75</mtext>
      </mrow>
    </mrow>
    <mrow>
      <mrow>
        <mtext>185</mtext>
      </mrow>
    </mrow>
  </msubsup>
  <mrow>
    <mtext>Re</mtext>
  </mrow>
</math></span>    <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;">gap in the periodic table<br><em><strong>OR</strong></em><br>element with atomic number «75» unknown<br><em><strong>OR</strong></em><br>break/irregularity in periodic trends     <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">«periodic table shows» regular/periodic trends «in properties»      <strong style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</strong></span></p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">electrolyze «a solution of /molten» rhenium salt/Re<sup>n+</sup>     <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">graphite as cathode/negative electrode<br>OR<br>rhenium forms at cathode/negative electrode     <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Accept “using rhenium anode” for M1.</span></em></p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Any two of:</em><br>variable oxidation states<span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">     </span><strong style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">forms complex ions/compounds<span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">     </span><strong style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">coloured compounds/ions<span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">     </span><strong style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">«para»magnetic compounds/ions     <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Accept other valid responses related to its <strong>chemical</strong> metallic properties.</span></em></p>
<p><em><span style="background-color: #ffffff;">Do <strong>not</strong> accept “catalytic properties”.</span></em></p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">place «pieces of» Re into each solution    <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">if Re reacts/is coated with metal, that metal is less reactive «than Re»    <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Accept other valid observations such as “colour of solution fades” or “solid/metal appears” for “reacts”.</span></em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">rhenium(III) chloride<br><em><strong>OR</strong></em><br>rhenium trichloride    <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;">«M<sub>r</sub> ReCl<sub>3</sub> = 186.21 + (3 × 35.45) =» 292.56    <strong>[✔]</strong><br>«100 × <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{186.21}}{{292.56}}">
  <mfrac>
    <mrow>
      <mn>186.21</mn>
    </mrow>
    <mrow>
      <mn>292.56</mn>
    </mrow>
  </mfrac>
</math></span> =» 63.648 «%» <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">  </span><strong style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</strong></span></p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">same group as Mn «which forms M</span>n<span style="background-color: #ffffff;">O<sub>4</sub><sup>-</sup>»<br><em><strong>OR</strong></em><br>in group 7/has 7 valence electrons, so its «highest» oxidation state is +7    <strong>[✔]</strong></span></p>
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">ReO</span><sub style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">4</sub><sup style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">−</sup><span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"> (aq) + 6H</span><sup style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">+</sup><span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"> (aq) + 3e</span><sup style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">−</sup> <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">⇌</span><span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"> [Re(OH)</span><sub style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">2</sub><span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">]</span><sup style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">2+</sup><span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"> (aq) + 2H</span><sub style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">2</sub><span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">O (l)    <strong>[<span style="background-color: #ffffff;">✔]</span></strong></span></p>
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">no <em><strong>AND</strong> <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">ReO</span><sub style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">4</sub><sup style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">−</sup></em> is a weaker oxidizing agent than Fe<sup>3+</sup><br><em><strong>OR</strong></em><br>no <em><strong>AND</strong> </em>Fe<sup>3+</sup> is a stronger oxidizing agent than <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">ReO</span><sub style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">4</sub><sup style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">−</sup><br><em><strong>OR</strong></em><br>no <em><strong>AND</strong> </em>Fe<sup>2+</sup> is a weaker reducing agent than <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[Re(OH)</span><sub style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">2</sub><span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">]</span><sup style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">2+</sup><br><em><strong>OR</strong></em><br>no <em><strong>AND</strong> <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[Re(OH)</span><sub style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">2</sub><span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">]</span><sup style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">2+</sup></em> is a stronger reducing agent than Fe<sup>2+</sup><br><em><strong>OR</strong></em><br>no <em><strong>AND</strong> </em>cell emf would be negative/–0.41 V     <strong>[✔]</strong></span></p>
<div class="question_part_label">e(iii).</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>It was expected that this question would be answered correctly by all HL candidates. However, many confused the A-Z positions or calculated very unusual numbers for A, sometimes even with decimals.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This is a NOS question which required some reflection on the full meaning of the periodic table and the wealth of information contained in it. But very few candidates understood that they were being asked to explain periodicity and the concept behind the periodic table, which they actually apply all the time. Some were able to explain the “gap” idea and other based predictions on properties of nearby elements instead of thinking of periodic trends. A fair number of students listed properties of transition metals in general.</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally well done; most described the cell identifying the two electrodes correctly and a few did mention the need for Re salt/ion electrolyte.</p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally well answered though some students suggested physical properties rather than chemical ones.</p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Many candidates chose to set up voltaic cells and in other cases failed to explain the actual experimental set up of Re being placed in solutions of other metal salts or the reaction they could expect to see.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Almost all candidates were able to name the compound according to IUPAC.</p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to answer this stoichiometric question correctly.</p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This should have been a relatively easy question but many candidates sometimes failed to see the connection with Mn or the amount of electrons in its outer shell.</p>
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Surprisingly, a great number of students were unable to balance this simple half-equation that was given to them to avoid difficulties in recall of reactants/products.</p>
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Many students understood that the oxidation of Fe<sup>2+</sup> was not viable but were unable to explain why in terms of oxidizing and reducing power; many students simply gave numerical values for <em>E</em><sup>Θ</sup> often failing to realise that the oxidation of Fe<sup>2+</sup> would have the inverse sign to the reduction reaction.</p>
<div class="question_part_label">e(iii).</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>&nbsp;</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;">&lt; 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> &lt; 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;"> &lt; 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> &lt; 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> &lt; 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="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">The electron configuration of copper makes it a useful metal.</span></p>
<p><span class="fontstyle0">Determine the frequency of a photon that will cause the first ionization of copper. Use sections 1, 2 and 8 of the data booklet.</span></p>
<p> </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 class="fontstyle0">The electron configuration of copper makes it a useful metal.</span></p>
<p><span class="fontstyle0">Explain why a copper(II) solution is blue, using section 17 of the data booklet.</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 class="fontstyle0">The electron configuration of copper makes it a useful metal.</span></p>
<p><span class="fontstyle0"> Copper plating can be used to improve the conductivity of an object.</span></p>
<p><span class="fontstyle0">State, giving your reason, at which electrode the object being electroplated should be placed.<br> </span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>«</mo><mi>E</mi><mo>=</mo><mfrac><mrow><mn>745</mn><mo> </mo><mn>000</mn><mo> </mo><mi mathvariant="normal">J</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow><mrow><mn>6</mn><mo>.</mo><mn>02</mn><mo>×</mo><msup><mn>10</mn><mn>23</mn></msup><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></mfrac><mo>=</mo><mo>»</mo><mn>1</mn><mo>.</mo><mn>24</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>18</mn></mrow></msup><mo> </mo><mi mathvariant="normal">J</mi></math> ✔</p>
<p><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>«</mo><mi>E</mi><mo>=</mo><mi>h</mi><mi>ν</mi><mo>»</mo></math><br><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>«</mo><mn>1</mn><mo>.</mo><mn>24</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>18</mn></mrow></msup><mo> </mo><mi mathvariant="normal">J</mi><mo>=</mo><mn>6</mn><mo>.</mo><mn>63</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>34</mn></mrow></msup><mo> </mo><mi mathvariant="normal">J</mi><mo> </mo><mi mathvariant="normal">s</mi><mo>×</mo><mi mathvariant="normal">ν</mi><mo>»</mo></math><br><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi mathvariant="normal">ν</mi><mo>=</mo><mn>1</mn><mo>.</mo><mn>87</mn><mo>×</mo><msup><mn>10</mn><mn>15</mn></msup><mo> </mo><mo>«</mo><msup><mi mathvariant="normal">s</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>/</mo><mi>Hz</mi><mo>»</mo></math> ✔</p>
<p><br><em>Award <strong>[2]</strong> for correct final answer.</em><br><em>Award <strong>[1]</strong> for 1.12 × 10<sup>39</sup> «Hz».</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>orange light is absorbed «and the complementary colour is observed» ✔</p>
<p><em>Any <strong>TWO</strong> from:</em><br>partially filled d-orbitals ✔<br>«ligands/water cause» d-orbitals «to» split ✔<br>light is absorbed as electrons move to a higher energy orbital «in d–d transitions»<br><em><strong>OR</strong></em><br>light is absorbed as electrons are promoted ✔<br>energy gap corresponds to «orange» light in the visible region of the spectrum ✔</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>cathode/negative «electrode» <em><strong>AND</strong> <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msup><mi>Cu</mi><mrow><mn>2</mn><mo>+</mo></mrow></msup></math></em> reduced «at that electrode» ✔</p>
<p><em>Accept cathode/negative «electrode» <strong>AND</strong> copper forms «at that electrode».</em></p>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Determining the frequency of a photon that will cause the first ionization of copper was the most&nbsp;challenging question on the exam. Many could not do it all, although some came up with the answer that&nbsp;came from using the result that would arise from the ionization energy in J/mole (and frequently kJ/mole)&nbsp;rather than J/atom.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Many students were able to fully explain why solutions containing Cu<sup>2+</sup> appear blue, however the&nbsp;misconception between absorption and emission spectra is still quite evident.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Surprisingly not that well answered. Most students identified the cathode as the electrode where&nbsp;electroplating occurs but few could adequately justify why.</p>
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p>Bromine can form the bromate(V) ion, BrO<sub>3</sub><sup>−</sup>.</p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the electron configuration of a bromine atom.</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>Sketch the orbital diagram of the <strong>valence shell</strong> of a bromine atom (ground state) on the energy axis provided. Use boxes to represent orbitals and arrows to represent electrons.</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>Draw two Lewis (electron dot) structures for BrO<sub>3</sub><sup>−</sup>.</p>
<p><img src="data:image/png;base64,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"></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>Determine the preferred Lewis structure based on the formal charge on the bromine atom, giving your reasons.</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>Predict, using the VSEPR theory, the geometry of the BrO<sub>3</sub><sup>−</sup> ion and the O−Br−O bond angles.</p>
<p><img 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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>Bromate(V) ions act as oxidizing agents in acidic conditions to form bromide ions.</p>
<p>Deduce the half-equation for this reduction reaction.</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>Bromate(V) ions oxidize iron(II) ions, Fe<sup>2+</sup>, to iron(III) ions, Fe<sup>3+</sup>.</p>
<p>Deduce the equation for this redox reaction.</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>Calculate the standard Gibbs free energy change, Δ<em>G</em><sup>Θ</sup>, in J, of the redox reaction in (ii), using sections 1 and 24 of the data booklet.</p>
<p><em>E</em><sup>Θ</sup> (BrO<sub>3</sub><sup>−</sup> / Br<sup>−</sup>) = +1.44 V</p>
<p> </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>State and explain the magnetic property of iron(II) and iron(III) ions.</p>
<p> </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>1s<sup>2</sup> 2s<sup>2</sup> 2p<sup>6</sup> 3s<sup>2</sup> 3p<sup>6</sup> 4s<sup>2</sup> 3d<sup>10</sup> 4p<sup>5</sup></p>
<p><em><strong>OR</strong></em></p>
<p>[Ar] 4s<sup>2</sup> 3d<sup>10</sup> 4p<sup>5</sup> ✔</p>
<p> </p>
<p><em>Accept 3d before 4s.</em></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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"></p>
<p><em>Accept double-headed arrows.</em></p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Structure I - follows octet rule:</em></p>
<p><img src="data:image/png;base64,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"></p>
<p><em>Structure II - does not follow octet rule:</em></p>
<p><img src="data:image/png;base64,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"></p>
<p> </p>
<p><em>Accept dots, crosses or lines to represent electron pairs.</em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«structure I» formal charge on Br = +2</p>
<p><em><strong>OR</strong></em></p>
<p>«structure II» formal charge on Br = 0/+1 ✔</p>
<p> </p>
<p>structure II is preferred <em><strong>AND</strong> </em>it produces formal charge closer to 0 ✔</p>
<p> </p>
<p><em>Ignore any reference to formal charge on oxygen.</em></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Geometry:</em><br>trigonal/pyramidal ✔</p>
<p><em>Reason:</em><br>three bonds <em><strong>AND</strong> </em>one lone pair<br><em><strong>OR</strong></em><br>four electron domains ✔</p>
<p><em>O−Br−O angle:</em><br>107° ✔</p>
<p> </p>
<p><em>Accept “charge centres” for “electron domains”.</em></p>
<p><em>Accept answers in the range 104–109°.</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>BrO<sub>3</sub><sup>−</sup> (aq) + 6e<sup>−</sup> + 6H<sup>+</sup> (aq) → Br<sup>−</sup> (aq) + 3H<sub>2</sub>O (l)</p>
<p>correct reactants and products ✔</p>
<p>balanced equation ✔</p>
<p> </p>
<p><em>Accept reversible arrows.</em></p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>BrO<sub>3</sub><sup>−</sup> (aq) + 6Fe<sup>2+</sup> (aq) + 6H<sup>+</sup> (aq) → Br<sup>−</sup> (aq) + 3H<sub>2</sub>O (l) + 6Fe<sup>3+</sup> (aq) ✔</p>
<p> </p>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>E</em><sup>Θ</sup><sub>reaction</sub> = «+1.44 V – 0.77 V =» 0.67 «V» ✔</p>
<p>Δ<em>G</em><sup>Θ</sup> = «–n<em>FE</em><sup>Θ</sup><sub>reaction</sub> = – 6 × 96500 C mol<sup>–1</sup> × 0.67 V =» –3.9 × 10<sup>5</sup> «J» ✔</p>
<p> </p>
<div class="question_part_label">d.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>both are paramagnetic ✔</p>
<p>«both» contain unpaired electrons ✔</p>
<p> </p>
<p><em>Accept orbital diagrams for both ions showing unpaired electrons.</em></p>
<p> </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">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<br><hr><br>