<snapdata remixID="14206326"><project name="Pseudocode Practice" app="Snap! 10.4.6, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="Pseudocode Practice"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="Calculate Variance Lists: %&apos;lists&apos; Mean: %&apos;Mean&apos;" type="reporter" category="variables"><header></header><code></code><translations></translations><inputs><input type="%l" initial="1"></input><input type="%s" initial="1"></input></inputs><script><block s="doDeclareVariables"><list><l>Variance</l></list></block><block s="doSetVar"><l>Count</l><l>0</l></block><block s="doSetVar"><l>SumSquaredDiffs</l><l>0</l></block><block s="doForEach"><l>number</l><block var="lists"/><script><block s="doSetVar"><l>Difference</l><block s="reportDifference"><block var="lists"/><block var="Mean"/></block></block><block s="doSetVar"><l>SquaredDiff</l><block s="reportVariadicProduct"><list><block var="Difference"/><block var="Difference"/></list></block></block><block s="doSetVar"><l>SumSquaredDiffs</l><block s="reportVariadicSum"><list><block var="SquaredDiff"/><block var="SumSquaredDiffs"/></list></block></block><block s="doSetVar"><l>Count</l><block s="reportVariadicSum"><list><block var="Count"/><l>1</l></list></block></block><block s="doSetVar"><l>Variance</l><block s="reportQuotient"><block var="SumSquaredDiffs"/><block var="Count"/></block></block></script></block><block s="doReport"><block var="Variance"/></block></script></block-definition></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="61"><pentrails>data:image/png;base64,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</pentrails><costumes><list struct="atomic" id="62"></list></costumes><sounds><list struct="atomic" id="63"></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="68"><costumes><list struct="atomic" id="69"></list></costumes><sounds><list struct="atomic" id="70"></list></sounds><blocks></blocks><variables></variables><scripts><script x="163" y="48.16666666666663"><block s="doSetVar"><l>SumSquaredDiffs</l><l>0</l></block></script><script x="168" y="208"><custom-block s="Calculate Variance Lists: %l Mean: %s"><block s="reportNewList"><list><l>3</l><l>7</l><l>10</l><l>23</l><l>31</l></list></block><l>14.8</l></custom-block></script><script x="165" y="148"><custom-block s="Calculate Variance Lists: %l Mean: %s"><block s="reportNewList"><list><l>2</l><l>6</l><l>8</l><l>12</l><l>16</l></list></block><l>8.8</l></custom-block></script><script x="167" y="260"><custom-block s="Calculate Variance Lists: %l Mean: %s"><block s="reportNewList"><list><l>5</l><l>10</l><l>22</l><l>36</l><l>47</l></list></block><l>24</l></custom-block></script></scripts></sprite><watcher var="Count" style="normal" x="10" y="10" color="243,118,29"/><watcher var="SquaredDiff" style="normal" x="330" y="1.00000399999999" color="243,118,29" extX="80" extY="70"/><watcher var="Difference" style="normal" x="224" y="1.000001999999995" color="243,118,29" extX="80" extY="70"/><watcher var="SumSquaredDiffs" style="normal" x="118" y="4.000005999999985" color="243,118,29" extX="80" extY="70"/><watcher var="Variance" style="normal" x="5" y="45.00000799999998" color="243,118,29"/></sprites></stage><variables><variable name="Count"><l>5</l></variable><variable name="Difference"><list struct="atomic" id="116">-19,-14,-2,12,23</list></variable><variable name="SquaredDiff"><list struct="atomic" id="117">361,196,4,144,529</list></variable><variable name="SumSquaredDiffs"><list struct="atomic" id="118">1805,980,20,720,2645</list></variable><variable name="Variance"><l>0</l></variable></variables></scene></scenes></project><media name="Pseudocode Practice" app="Snap! 10.4.6, https://snap.berkeley.edu" version="2"></media></snapdata>