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<quiz>
 <!-- categoryid: 598 -->
 <question type="category"><category><text>Pre-Calc/Chapter 1:  Functions and Graphs/1.1 Modeling and Equation Solving</text></category></question>
 
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 <question type="multichoice">
    <name>
      <text>Match the equation with the appropriate graph.f(x) = </text>
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      <text><![CDATA[<b>Match the equation with the appropriate graph.<br/><br/></b>f(x) = <img align="middle" src="@@PLUGINFILE@@/ppg__describe various fun1212131531__f1q13g1.jpg"/>]]></text>
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      <text></text>
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    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
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    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
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      <text></text>
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      <text></text>
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      <text></text>
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    <answer fraction="0" format="html">
      <text><![CDATA[<br/><img align="middle" height="180" width="180" src="@@PLUGINFILE@@/ppg__Describe various fun1212131531__f1q13g2.jpg"/>]]></text>
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     <feedback format="html">
        <text>Incorrect</text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
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     <feedback format="html">
        <text>Incorrect</text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
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     <feedback format="html">
        <text>Correct</text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
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     <feedback format="html">
        <text>Incorrect</text>
      </feedback>
    </answer>
  </question>
 
 <!-- resourceid-resourcedataid: 5815-5225 -->
 <question type="multichoice">
    <name>
      <text>Solve the equation algebraically.x(x - 2) = 35</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<b>Solve the equation algebraically.<br/><br/></b>x(x - 2) = 35]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="100" format="html">
      <text>-5; 7</text>
      <feedback format="html">
        <text>Correct</text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>2, -35</text>
      <feedback format="html">
        <text>Incorrect</text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>0; 2</text>
      <feedback format="html">
        <text>Incorrect</text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>5; -7</text>
      <feedback format="html">
        <text>Incorrect</text>
      </feedback>
    </answer>
  </question>
 
 <!-- resourceid-resourcedataid: 5816-5226 -->
 <question type="shortanswer">
    <name>
      <text>Solve the equation graphically.3x - 2 = x3 - 5</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Solve the equation graphically.  Round to the nearest tenth.<br /><br /></strong>3x - 2 = x<sup>3</sup> - 5</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>2.1</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="0" format="moodle_auto_format">
      <text>*</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
  </question>
 
 <!-- resourceid-resourcedataid: 5817-5227 -->
 <question type="multichoice">
    <name>
      <text>Solve the problem.    The following data set gives the average home value, in...</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<b>Solve the problem.    <br/><br/></b>The following data set gives the average home value, in dollars, for a city at 5-year intervals.<br/><br/><img align="middle" src="@@PLUGINFILE@@/ppg__describe various fun1212131531__f1q1g1.jpg"/><br/><br/>Determine where f is increasing or decreasing.]]></text>
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</file>    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="0" format="html">
      <text>f is increasing until 1980, then f is decreasing for remainder of x-values.</text>
      <feedback format="html">
        <text>Incorrect</text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text>f is increasing for the given x-values.</text>
      <feedback format="html">
        <text>Correct</text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>f is decreasing for the given x values.</text>
      <feedback format="html">
        <text>Incorrect</text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text>f is constant for the given x-values.</text>
      <feedback format="html">
        <text>Incorrect</text>
      </feedback>
    </answer>
  </question>
 
 <!-- resourceid-resourcedataid: 5818-5228 -->
 <question type="multichoice">
    <name>
      <text>Solve the problem.    Use the graph of f to estimate the local maximum and ...</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><strong>Solve the problem.  <br /><br /></strong>Use the graph of f to estimate the local maximum and local minimum.  Answer with Y-values.<br /><img width="225" height="225" align="middle" src="@@PLUGINFILE@@/ppg__Describe various fun1212131531__f1q9g1.jpg" /></p>]]></text>
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</file>    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <single>true</single>
    <shuffleanswers>true</shuffleanswers>
    <answernumbering>abc</answernumbering>
    <correctfeedback format="html">
      <text></text>
    </correctfeedback>
    <partiallycorrectfeedback format="html">
      <text></text>
    </partiallycorrectfeedback>
    <incorrectfeedback format="html">
      <text></text>
    </incorrectfeedback>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>No local maximum; no local minimum</p>]]></text>
      <feedback format="html">
        <text><![CDATA[<p>Incorrect</p>]]></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Local maximum: -1; local minimum: 2</p>]]></text>
      <feedback format="html">
        <text><![CDATA[<p>Incorrect</p>]]></text>
      </feedback>
    </answer>
    <answer fraction="100" format="html">
      <text><![CDATA[<p>Local maximum: approx. 1.17; local minimum: approx. -3.33</p>]]></text>
      <feedback format="html">
        <text><![CDATA[<p>Correct</p>]]></text>
      </feedback>
    </answer>
    <answer fraction="0" format="html">
      <text><![CDATA[<p>Local maximum: ∞; local minimum: -∞</p>]]></text>
      <feedback format="html">
        <text><![CDATA[<p>Incorrect</p>]]></text>
      </feedback>
    </answer>
  </question>
 </quiz>
