<snapdata remixID="14205716"><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="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="113">-19,-14,-2,12,23</list></variable><variable name="SquaredDiff"><list struct="atomic" id="114">361,196,4,144,529</list></variable><variable name="SumSquaredDiffs"><list struct="atomic" id="115">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>