<snapdata remixID="15068218"><project name="4.17 ProgrammingAssessment" app="Snap! 11.0.8, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="4.17 ProgrammingAssessment"><notes></notes><hidden></hidden><headers></headers><code></code><blocks></blocks><primitives></primitives><stage name="Stage" width="480" height="360" costume="0" color="255,255,255,1" tempo="60" threadsafe="false" penlog="false" volume="100" pan="0" lines="round" ternary="false" hyperops="true" codify="false" inheritance="true" sublistIDs="false" id="6"><pentrails>data:image/png;base64,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</pentrails><costumes><list struct="atomic" id="7"></list></costumes><sounds><list struct="atomic" id="8"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="1"><sprite name="Sprite" idx="1" x="0" y="0" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="80,80,80,1" pen="tip" id="13"><costumes><list struct="atomic" id="14"></list></costumes><sounds><list struct="atomic" id="15"></list></sounds><blocks></blocks><variables></variables><scripts><script x="222" y="18.333333333333343"><block s="receiveGo"></block><block s="doSetVar"><l>average</l><l>0</l></block><block s="doSetVar"><l>sum</l><l>0</l></block><block s="doSetVar"><l>scores</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>C&apos;s</l><l>0</l></block><block s="doRepeat"><l>10</l><script><block s="doAddToList"><block s="reportRandom"><l>60</l><l>100</l></block><block var="scores"/></block></script></block><block s="doForEach"><l>item</l><block var="scores"/><script><block s="doChangeVar"><l>sum</l><block var="item"/></block></script></block><block s="doSetVar"><l>average</l><block s="reportQuotient"><block var="sum"/><block s="reportListAttribute"><l><option>length</option></l><block var="scores"/></block></block></block><block s="doIf"><block s="reportVariadicLessThan"><list><block var="average"/><l>90</l></list></block><script><block s="doForEach"><l>item</l><block var="scores"/><script><block s="doSetVar"><l>item</l><block s="reportVariadicSum"><list><block var="item"/><l>5</l></list></block></block><block s="doSayFor"><block var="item"/><l>1</l></block></script></block></script><list></list></block><block s="doForEach"><l>item</l><block var="scores"/><script><block s="doSayFor"><block var="item"/><l>1</l></block></script></block><block s="doForEach"><l>item</l><block var="scores"/><script><block s="doIf"><block s="reportVariadicLessThan"><list><l>70</l><block var="item"/><l>79</l></list></block><script><block s="doChangeVar"><l>C&apos;s</l><l>1</l></block></script><list></list></block></script></block><block s="doSayFor"><l>Number of C&apos;s:</l><l>2</l></block><block s="doSayFor"><block var="C&apos;s"/><l>1</l></block><block s="doForEach"><l>item</l><block var="scores"/><script><block s="doIf"><block s="reportVariadicLessThan"><list><l>100</l><block var="item"/></list></block><script><block s="doSetVar"><l>item</l><l>100</l></block></script><list></list></block></script></block></script></scripts></sprite><watcher var="scores" style="normal" x="10" y="10" color="243,118,29" extX="80" extY="70"/><watcher var="sum" style="normal" x="10" y="103.000002" color="243,118,29"/><watcher var="average" style="normal" x="10" y="124.00000399999999" color="243,118,29"/><watcher var="C&apos;s" style="normal" x="10" y="145.00000599999998" color="243,118,29"/></sprites></stage><variables><variable name="scores"><list struct="atomic" id="147">84,68,89,69,65,83,88,90,63,93</list></variable><variable name="sum"><l>792</l></variable><variable name="average"><l>79.2</l></variable><variable name="C&apos;s"><l>0</l></variable></variables></scene></scenes></project><media name="4.17 ProgrammingAssessment" app="Snap! 11.0.8, https://snap.berkeley.edu" version="2"></media></snapdata>