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<!-- question: 0  -->
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        <text>$course$/Chemistry Common Assessments/Semester 1/Quarter 1/Unit 1: Introduction to Matter/1C: accuracy and precision/sig figs</text>

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<!-- question: 354  -->
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<!-- question: 355  -->
  <question type="calculated">
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      <text>sf2</text>
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    <questiontext format="html">
      <text><![CDATA[<p>How many significant figures does this quantity represent?</p><p>{x}</p>]]></text>
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<!-- question: 356  -->
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<!-- question: 357  -->
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<!-- question: 0  -->
  <question type="category">
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<!-- question: 221  -->
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<!-- question: 223  -->
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<!-- question: 220  -->
  <question type="calculatedsimple">
    <name>
      <text>mol to atoms</text>
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      <text><![CDATA[<p>{mol} mol = _____ atoms</p>]]></text>
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    <text>{mol}*6.02E23</text>
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<!-- question: 222  -->
  <question type="calculatedsimple">
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      <text>mol to L</text>
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    <questiontext format="html">
      <text><![CDATA[<p>How many liters would {mol} moles of a gas occupy at standard temperature and pressure? (You don't need to include units in your answer.)</p>]]></text>
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    <text>{mol}*22.4</text>
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<!-- question: 225  -->
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           <number>91</number>
           <value>24</value>
        </dataset_item>
        <dataset_item>
           <number>92</number>
           <value>24</value>
        </dataset_item>
        <dataset_item>
           <number>93</number>
           <value>23</value>
        </dataset_item>
        <dataset_item>
           <number>94</number>
           <value>23</value>
        </dataset_item>
        <dataset_item>
           <number>95</number>
           <value>22</value>
        </dataset_item>
        <dataset_item>
           <number>96</number>
           <value>23</value>
        </dataset_item>
        <dataset_item>
           <number>97</number>
           <value>24</value>
        </dataset_item>
        <dataset_item>
           <number>98</number>
           <value>23</value>
        </dataset_item>
        <dataset_item>
           <number>99</number>
           <value>24</value>
        </dataset_item>
        <dataset_item>
           <number>100</number>
           <value>23</value>
        </dataset_item>
    </dataset_items>
    <number_of_items>100</number_of_items>
</dataset_definition>
</dataset_definitions>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
        <text>$course$/Chemistry Common Assessments/Semester 1/Quarter 1/Unit 1: Introduction to Matter/1C: accuracy and precision/data points</text>

    </category>
  </question>

<!-- question: 199  -->
  <question type="multichoice">
    <name>
      <text>A</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="http://www.intuitor.com/student/AccuracyPrecision.gif" alt="" width="483" height="156" /></p>
<p>Look diagram A. These data points are:</p>]]></text>
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</file>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>false</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Your answer is correct.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is partially correct.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is incorrect.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>accurate</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>precise</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="-50" format="html">
      <text><![CDATA[<p>not accurate</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="-50" format="html">
      <text><![CDATA[<p>not precise</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 200  -->
  <question type="multichoice">
    <name>
      <text>B</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="http://www.intuitor.com/student/AccuracyPrecision.gif" alt="" width="483" height="156" /></p>
<p>Look diagram B. These data points are:</p>]]></text>
<file name="1.png" path="/" 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</file>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>false</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Your answer is correct.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is partially correct.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is incorrect.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="-50" format="html">
      <text><![CDATA[<p>accurate</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>precise</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>not accurate</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="-50" format="html">
      <text><![CDATA[<p>not precise</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 201  -->
  <question type="multichoice">
    <name>
      <text>C</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="http://www.intuitor.com/student/AccuracyPrecision.gif" alt="" width="483" height="156" /></p>
<p>Look diagram C. These data points are:</p>]]></text>
<file name="1.png" path="/" 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</file>
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      <text></text>
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    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>false</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Your answer is correct.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is partially correct.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is incorrect.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>accurate</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="-50" format="html">
      <text><![CDATA[<p>precise</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="-50" format="html">
      <text><![CDATA[<p>not accurate</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>not precise</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
        <text>$course$/Chemistry Common Assessments/Semester 1/Quarter 1/Unit 1: Introduction to Matter/1D: properties of matter</text>

    </category>
  </question>

<!-- question: 208  -->
  <question type="multichoice">
    <name>
      <text>classifying 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="http://edisonscience.net/quizimages/mixtures.png" alt="" width="731" height="289" /></p>
<p>Beaker A contains a(n):</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
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  <question type="multichoice">
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      <text>classifying 10</text>
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      <text><![CDATA[<p>Carbon is an example of a(n):</p>]]></text>
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      <text><![CDATA[<p>compound</p>]]></text>
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<!-- question: 209  -->
  <question type="multichoice">
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      <text>classifying 2</text>
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      <text><![CDATA[<p><img src="http://edisonscience.net/quizimages/mixtures.png" alt="" width="731" height="289" /></p>
<p>Beaker B contains a(n):</p>]]></text>
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      <text><![CDATA[<p>homogeneous mixture</p>]]></text>
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      <text><![CDATA[<p>compound</p>]]></text>
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        <text></text>
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<!-- question: 210  -->
  <question type="multichoice">
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      <text>classifying 3</text>
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      <text><![CDATA[<p><img src="http://edisonscience.net/quizimages/mixtures.png" alt="" width="731" height="289" /></p>
<p>Water is a(n):</p>]]></text>
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      <text></text>
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      <text><![CDATA[<p>Your answer is correct.</p>]]></text>
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      </feedback>
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    <answer fraction="100" format="html">
      <text><![CDATA[<p>compound</p>]]></text>
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        <text></text>
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<!-- question: 211  -->
  <question type="multichoice">
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      <text>classifying 4</text>
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      <text><![CDATA[<p><img src="http://edisonscience.net/quizimages/mixtures.png" alt="" width="731" height="289" /></p>
<p>Sugar is a(n):</p>]]></text>
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      <text><![CDATA[<p>compound</p>]]></text>
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        <text></text>
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<!-- question: 212  -->
  <question type="multichoice">
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      <text>classifying 5</text>
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    <questiontext format="html">
      <text><![CDATA[<p><img src="http://edisonscience.net/quizimages/mixtures.png" alt="" width="731" height="289" /></p>
<p>Silicon dioxide is a(n):</p>]]></text>
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        <text></text>
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      <text><![CDATA[<p>compound</p>]]></text>
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        <text></text>
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<!-- question: 447  -->
  <question type="multichoice">
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      <text>classifying 6</text>
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      <text><![CDATA[<p>Orange juice with pulp is an example of a(n):</p><p><img src="http://cdn1.foodviva.com/static-content/food-images/juice-recipes/orange-juice-with-pulp/step-3.jpg" alt="" width="255" height="191" role="presentation" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><br></p>]]></text>
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      <text>classifying 7</text>
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<!-- question: 449  -->
  <question type="multichoice">
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      <text>classifying 8</text>
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  <question type="multichoice">
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      <text>classifying 9</text>
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<!-- question: 0  -->
  <question type="category">
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        <text>$course$/Chemistry Common Assessments/Semester 1/Quarter 1/Unit 1: Introduction to Matter/1C: accuracy and precision/data points</text>

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<!-- question: 202  -->
  <question type="multichoice">
    <name>
      <text>D</text>
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      <text><![CDATA[<p><img src="http://www.intuitor.com/student/AccuracyPrecision.gif" alt="" width="483" height="156" /></p>
<p>Look diagram D. These data points are:</p>]]></text>
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</file>
    </questiontext>
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      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>false</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Your answer is correct.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is partially correct.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is incorrect.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="-50" format="html">
      <text><![CDATA[<p>accurate</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="-50" format="html">
      <text><![CDATA[<p>precise</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>not accurate</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>not precise</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
        <text>$course$/Chemistry Common Assessments/Semester 1/Quarter 1/Unit 1: Introduction to Matter/1E: kinetic molecular theory/states of matter</text>

    </category>
  </question>

<!-- question: 213  -->
  <question type="multichoice">
    <name>
      <text>define</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>The average kinetic energy of the particles in a sample of matter is defined as:</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Your answer is correct.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is partially correct.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is incorrect.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>temperature</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>heat</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>energy of movement</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>thermal energy</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>chemical energy</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
        <text>$course$/Chemistry Common Assessments/Semester 1/Quarter 1/Unit 1: Introduction to Matter/1E: kinetic molecular theory/heating curves</text>

    </category>
  </question>

<!-- question: 226  -->
  <question type="multichoice">
    <name>
      <text>heating curve 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="http://edisonscience.net/quizimages/heatingcurve.png" alt="" width="483" height="300" /></p>
<p>Why is this heating curve horizontal (flat) in two places?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Your answer is correct.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is partially correct.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is incorrect.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>temperature is constant during a phase change</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>heat is not being added</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>the experimenter stopped stirring the beaker</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>phase changes are physical so they don't require energy</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>the horizontal parts represent chemical reactions</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 227  -->
  <question type="multichoice">
    <name>
      <text>heating curve 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="http://edisonscience.net/quizimages/heatingcurve.png" alt="" width="483" height="300" /></p>
<p>As energy is added as heat, which phase of this substance warms up fastest?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Your answer is correct.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is partially correct.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is incorrect.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>gas</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>solid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>liquid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>they all warm up at the same rate</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 228  -->
  <question type="multichoice">
    <name>
      <text>heating curve 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="http://edisonscience.net/quizimages/heatingcurve.png" alt="" width="483" height="300" /></p>
<p>This is a heating curve for H<sub>2</sub>O. What is happening at the part of the diagram marked "Solid"?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Your answer is correct.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is partially correct.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is incorrect.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>ice is getting warmer</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>ice is melting</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>liquid water is getting warmer</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>water is boiling</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>water vapor (steam) is getting warmer</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 229  -->
  <question type="multichoice">
    <name>
      <text>heating curve 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="http://edisonscience.net/quizimages/heatingcurve.png" alt="" width="483" height="300" /></p>
<p>This is a heating curve for H<sub>2</sub>O. What is happening at the part of the diagram marked "Heat of fusion"?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Your answer is correct.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is partially correct.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is incorrect.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>ice is getting warmer</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>ice is melting</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>liquid water is getting warmer</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>water is boiling</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>water vapor (steam) is getting warmer</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 230  -->
  <question type="multichoice">
    <name>
      <text>heating curve 5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="http://edisonscience.net/quizimages/heatingcurve.png" alt="" width="483" height="300" /></p>
<p>This is a heating curve for H<sub>2</sub>O. What is happening at the part of the diagram marked "Liquid"?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Your answer is correct.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is partially correct.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is incorrect.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>ice is getting warmer</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>ice is melting</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>liquid water is getting warmer</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>water is boiling</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>water vapor (steam) is getting warmer</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 231  -->
  <question type="multichoice">
    <name>
      <text>heating curve 6</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="http://edisonscience.net/quizimages/heatingcurve.png" alt="" width="483" height="300" /></p>
<p>This is a heating curve for H<sub>2</sub>O. What is happening at the part of the diagram marked "Heat of vaporization"?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Your answer is correct.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is partially correct.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is incorrect.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>ice is getting warmer</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>ice is melting</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>liquid water is getting warmer</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>water is boiling</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>water vapor (steam) is getting warmer</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 232  -->
  <question type="multichoice">
    <name>
      <text>heating curve 7</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="http://edisonscience.net/quizimages/heatingcurve.png" alt="" width="483" height="300" /></p>
<p>This is a heating curve for H<sub>2</sub>O. What is happening at the part of the diagram marked "Vapor"?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Your answer is correct.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is partially correct.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is incorrect.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>ice is getting warmer</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>ice is melting</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>liquid water is getting warmer</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>water is boiling</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>water vapor (steam) is getting warmer</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
        <text>$course$/Chemistry Common Assessments/Semester 1/Quarter 1/Unit 1: Introduction to Matter/1E: kinetic molecular theory/phase diagrams</text>

    </category>
  </question>

<!-- question: 216  -->
  <question type="multichoice">
    <name>
      <text>phase diagram 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="http://edisonscience.net/quizimages/phasediagram.png" alt="" width="490" height="405"></p>
<p>Look at the phase diagram above. What state will this substance be at a pressure of 1.00 atm and a temperature of 22°C?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Your answer is correct.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is partially correct.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is incorrect.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>solid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>liquid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>vapor (gas)</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>supercritical fluid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 217  -->
  <question type="multichoice">
    <name>
      <text>phase diagram 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="http://edisonscience.net/quizimages/phasediagram.png" alt="" width="490" height="405"></p>
<p>Look at the phase diagram above. What state will this substance be at a pressure of 0.0060 atm and a temperature of 100°C?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Your answer is correct.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is partially correct.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is incorrect.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>solid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>liquid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>vapor (gas)</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>supercritical fluid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 218  -->
  <question type="multichoice">
    <name>
      <text>phase diagram 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><img src="http://edisonscience.net/quizimages/phasediagram.png" alt="" width="490" height="405"></p>
<p>Look at the phase diagram above. What state will this substance be at a pressure of 0.5 atm and a temperature of 0.00°C?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Your answer is correct.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is partially correct.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is incorrect.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>solid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>liquid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>vapor (gas)</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>supercritical fluid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 0  -->
  <question type="category">
    <category>
        <text>$course$/Chemistry Common Assessments/Semester 1/Quarter 1/Unit 1: Introduction to Matter/1D: properties of matter</text>

    </category>
  </question>

<!-- question: 203  -->
  <question type="multichoice">
    <name>
      <text>phys or chem 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>6.0 g of sugar (a white crystalline solid) are added to 100 mL of water. After a few seconds, the sugar crystals are no longer visible.</p>
<p>1) Was this a <em>physical change</em> or a <em>chemical change</em>?</p>
<p>2) How do you know?</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>false</single>
    <shuffleanswers>false</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text><![CDATA[<p>Your answer is correct.</p>]]></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is partially correct.</p>]]></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text><![CDATA[<p>Your answer is incorrect.</p>]]></text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>physical change</p>]]></text>
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        <text></text>
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    <answer fraction="-50" format="html">
      <text><![CDATA[<p>chemical change</p>]]></text>
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        <text></text>
      </feedback>
    </answer>
    <answer fraction="-50" format="html">
      <text><![CDATA[<p>The sugar’s color changed from white to clear</p>]]></text>
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        <text></text>
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    <answer fraction="50" format="html">
      <text><![CDATA[<p>The sugar is still there, and it’s still sugar</p>]]></text>
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        <text></text>
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    <answer fraction="-50" format="html">
      <text><![CDATA[<p>A gas was produced</p>]]></text>
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    </answer>
    <answer fraction="-50" format="html">
      <text><![CDATA[<p>The sugar disappeared</p>]]></text>
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        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 204  -->
  <question type="multichoice">
    <name>
      <text>phys or chem 2</text>
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      <text><![CDATA[<p>6.0 g of sugar (a white crystalline solid) are added to 4.5 g of potassium nitrate. The mixture produces a brilliant yellow flame, and ends as black ash.</p>
<p>1) Was this a <em>physical change</em> or a <em>chemical change</em>?</p>
<p>2) How do you know?</p>]]></text>
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      <text><![CDATA[<p>Your answer is partially correct.</p>]]></text>
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    <answer fraction="-50" format="html">
      <text><![CDATA[<p>physical change</p>]]></text>
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      <text><![CDATA[<p>chemical change</p>]]></text>
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    <answer fraction="-50" format="html">
      <text><![CDATA[<p>The sugar and potassium nitrate were mixed, and mixing is a physical change</p>]]></text>
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        <text></text>
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    <answer fraction="-50" format="html">
      <text><![CDATA[<p>The sugar is still there, and it’s still sugar</p>]]></text>
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        <text></text>
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    <answer fraction="-50" format="html">
      <text><![CDATA[<p>The sugar vaporized, and vaporization is a phase change</p>]]></text>
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        <text></text>
      </feedback>
    </answer>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>Heat and light were observed</p>]]></text>
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        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 205  -->
  <question type="multichoice">
    <name>
      <text>phys or chem 3</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Specific heat is a measure of how much energy is required to heat 1 g of a substance by 1 °C.</p>
<p>1) Is this a <em>physical property</em> or a <em>chemical property</em>?</p>
<p>2) How do you know?</p>]]></text>
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      <text><![CDATA[<p>Your answer is correct.</p>]]></text>
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    <answer fraction="50" format="html">
      <text><![CDATA[<p>physical property</p>]]></text>
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        <text></text>
      </feedback>
    </answer>
    <answer fraction="-50" format="html">
      <text><![CDATA[<p>chemical property</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="50" format="html">
      <text><![CDATA[<p>When a substance warms up, it is still the same substance</p>]]></text>
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    <answer fraction="-50" format="html">
      <text><![CDATA[<p>Things change color when they warm up</p>]]></text>
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        <text></text>
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    <answer fraction="-50" format="html">
      <text><![CDATA[<p>When a substance warms up, it changes to a different substance</p>]]></text>
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        <text></text>
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    <answer fraction="-50" format="html">
      <text><![CDATA[<p>Heating is a chemical change</p>]]></text>
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        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 206  -->
  <question type="multichoice">
    <name>
      <text>phys or chem 4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Heat of combustion is a measure of how much energy is released when a substance reacts rapidly with oxygen. </p>
<p>1) Is heat of combustion a <em>physical property</em> or a <em>chemical property</em>?</p>
<p>2) How do you know?</p>]]></text>
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      <text></text>
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    <defaultgrade>2.0000000</defaultgrade>
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      <text><![CDATA[<p>Your answer is correct.</p>]]></text>
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    <answer fraction="-50" format="html">
      <text><![CDATA[<p>physical property</p>]]></text>
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    <answer fraction="50" format="html">
      <text><![CDATA[<p>chemical property</p>]]></text>
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        <text></text>
      </feedback>
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    <answer fraction="-50" format="html">
      <text><![CDATA[<p>When a substance reacts with oxygen, it is still the same substance</p>]]></text>
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    </answer>
    <answer fraction="-50" format="html">
      <text><![CDATA[<p>If energy is released, it must be a chemical change</p>]]></text>
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        <text></text>
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    <answer fraction="50" format="html">
      <text><![CDATA[<p>When a substance reacts with oxygen, it changes to a different substance</p>]]></text>
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        <text></text>
      </feedback>
    </answer>
    <answer fraction="-50" format="html">
      <text><![CDATA[<p>Heating is a chemical change</p>]]></text>
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        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 207  -->
  <question type="multichoice">
    <name>
      <text>phys or chem 5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>The coefficient of expansion is a measure of how much solid will expand when its temperature increases by 1 °C. </p>
<p>1) Is coefficient of expansion a <em>physical property</em> or a <em>chemical property</em>?</p>
<p>2) How do you know?</p>]]></text>
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    <generalfeedback format="html">
      <text></text>
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    <defaultgrade>2.0000000</defaultgrade>
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    <answer fraction="50" format="html">
      <text><![CDATA[<p>physical property</p>]]></text>
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    <answer fraction="-50" format="html">
      <text><![CDATA[<p>chemical property</p>]]></text>
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    <answer fraction="50" format="html">
      <text><![CDATA[<p>When a substance expands, it is still the same substance</p>]]></text>
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    <answer fraction="-50" format="html">
      <text><![CDATA[<p>Expansion of a solid is a chemical change</p>]]></text>
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    <answer fraction="-50" format="html">
      <text><![CDATA[<p>When a substance is heated, it changes to a different substance</p>]]></text>
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    <answer fraction="-50" format="html">
      <text><![CDATA[<p>Heating is a chemical change</p>]]></text>
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        <text></text>
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<!-- question: 0  -->
  <question type="category">
    <category>
        <text>$course$/Chemistry Common Assessments/Semester 1/Quarter 1/Unit 1: Introduction to Matter/1E: kinetic molecular theory/states of matter</text>

    </category>
  </question>

<!-- question: 5418  -->
  <question type="multichoice">
    <name>
      <text>spacing</text>
    </name>
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      <text><![CDATA[<p>Which state of matter has the most space between particles?</p>]]></text>
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      <text>Your answer is partially correct.</text>
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      <text>Your answer is incorrect.</text>
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    <answer fraction="0" format="html">
      <text><![CDATA[<p>solid</p>]]></text>
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        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>liquid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>gas</p>]]></text>
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        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 5419  -->
  <question type="multichoice">
    <name>
      <text>spacing (copy)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>In which state of matter do the particles have the most kinetic energy?</p>]]></text>
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      <text>Your answer is incorrect.</text>
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    <answer fraction="0" format="html">
      <text><![CDATA[<p>solid</p>]]></text>
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        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>liquid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>gas</p>]]></text>
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        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 452  -->
  <question type="multichoice">
    <name>
      <text>state 1</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Which state of matter is this?</p><p><img src="@@PLUGINFILE@@/solid.gif" alt="" width="300" height="150" role="presentation" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><br></p>]]></text>
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    </questiontext>
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      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text>Your answer is correct.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Your answer is partially correct.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Your answer is incorrect.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>solid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>liquid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>gas</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>plasma</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Bose-Einstein condensate</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>supercritical fluid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 453  -->
  <question type="multichoice">
    <name>
      <text>state 2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Which state of matter is this?</p><p><img src="@@PLUGINFILE@@/liquid.gif" alt="" width="300" height="150" role="presentation" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><br></p>]]></text>
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      <text></text>
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    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text>Your answer is correct.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Your answer is partially correct.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Your answer is incorrect.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>solid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>liquid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>gas</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>plasma</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Bose-Einstein condensate</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>supercritical fluid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 454  -->
  <question type="multichoice">
    <name>
      <text>state 3</text>
    </name>
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      <text><![CDATA[<p>Which state of matter is this?</p><p><img src="@@PLUGINFILE@@/gas.gif" alt="" width="300" height="150" role="presentation" style="vertical-align:text-bottom; margin: 0 .5em;" class="img-responsive"><br></p>]]></text>
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    </questiontext>
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      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text>Your answer is correct.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Your answer is partially correct.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Your answer is incorrect.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>solid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>liquid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>gas</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>plasma</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Bose-Einstein condensate</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>supercritical fluid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

<!-- question: 5427  -->
  <question type="multichoice">
    <name>
      <text>state 4 (copy)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p>Which state of matter is this?</p><p><img src="@@PLUGINFILE@@/Screen%20Shot%202017-09-19%20at%203.51.39%20PM.png" alt="" width="228" height="185" role="presentation" class="img-responsive atto_image_button_text-bottom"><br></p>]]></text>
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    </questiontext>
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      <text></text>
    </generalfeedback>
    <defaultgrade>2.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>none</answernumbering>
    <correctfeedback format="html">
      <text>Your answer is correct.</text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text>Your answer is partially correct.</text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text>Your answer is incorrect.</text>
    </incorrectfeedback>
    <shownumcorrect/>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>solid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>liquid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>gas</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>plasma</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Bose-Einstein condensate</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>supercritical fluid</p>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>

</quiz>