<snapdata remixID="14980893"><project name="Lists Programming Assessment" 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="Lists Programming Assessment"><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="185" y="30"><block s="receiveGo"></block><block s="doSetVar"><l>Average</l><l>0</l></block><block s="doSetVar"><l>C&apos;s</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>n</l><l>0</l></block><block s="doSetVar"><l>total</l><l>0</l></block><block s="doSetVar"><l>scores</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>i</l><l>1</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><block s="doChangeVar"><l>i</l><l>1</l></block></script></block><block s="doSetVar"><l>i</l><l>0</l></block><block s="doForEach"><l>item</l><block var="scores"/><script><block s="doChangeVar"><l>total</l><block var="item"/></block><block s="doChangeVar"><l>n</l><l>1</l></block></script></block><block s="doSetVar"><l>Average</l><block s="reportQuotient"><block var="total"/><block var="n"/></block></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><l>90</l><block var="Average"/></list></block><script><block s="doForEach"><l>item</l><block var="scores"/><script><block s="doReplaceInList"><block s="reportListIndex"><block var="item"/><block var="scores"/></block><block var="scores"/><block s="reportVariadicSum"><list><block var="item"/><l>5</l></list></block></block></script></block></script><list></list></block><block s="doForEach"><l>item</l><block var="scores"/><script><block s="doSayFor"><block var="item"/><l>2</l></block></script></block><block s="doForEach"><l>item</l><block var="scores"/><script><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicLessThan"><list><l>69</l><block var="item"/></list></block><block s="reportVariadicGreaterThan"><list><l>80</l><block var="item"/></list></block></list></block><script><block s="doAddToList"><block var="item"/><block var="C&apos;s"/></block><block s="doSayFor"><block var="item"/><l>2</l></block></script><list></list></block></script></block><block s="doForEach"><l>item</l><block var="scores"/><script><block s="doIf"><block s="reportVariadicGreaterThan"><list><block var="item"/><l>100</l></list></block><script><block s="doReplaceInList"><block s="reportListIndex"><block var="item"/><block var="scores"/></block><block var="scores"/><l>100</l></block></script><list></list></block></script></block></script></scripts></sprite><watcher var="i" style="normal" x="10" y="31.000001999999995" color="243,118,29" hidden="true"/><watcher var="total" style="normal" x="10" y="52.00000399999999" color="243,118,29" hidden="true"/><watcher var="n" style="normal" x="10" y="73.00000599999998" color="243,118,29" hidden="true"/><watcher var="scores" style="normal" x="315" y="10" color="243,118,29" extX="135" extY="194"/><watcher var="C&apos;s" style="normal" x="319" y="230.00000999999997" color="243,118,29" extX="127" extY="97"/><watcher var="Average" style="normal" x="5" y="14.00000799999998" color="243,118,29"/></sprites></stage><variables><variable name="scores"><list struct="atomic" id="175">98,95,74,100,91,77,66,73,89,81</list></variable><variable name="i"><l>0</l></variable><variable name="total"><l>796</l></variable><variable name="n"><l>10</l></variable><variable name="Average"><l>79.6</l></variable><variable name="C&apos;s"><list struct="atomic" id="176">74,77,73</list></variable></variables></scene></scenes></project><media name="Lists Programming Assessment" app="Snap! 11.0.8, https://snap.berkeley.edu" version="2"></media></snapdata>