<snapdata remixID="13174270"><project name="U5-PseudoPractice" app="Snap! 9.0, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="U5-PseudoPractice"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="calculate variance %&apos;numbers&apos; %&apos;mean&apos;" type="command" category="variables"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs></block-definition><block-definition s="For each %&apos;number&apos; in numbers" type="command" category="variables"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs></block-definition><block-definition s="return %&apos;variance&apos;" type="command" category="variables"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs></block-definition></blocks><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="8"><pentrails>data:image/png;base64,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s="doSetVar"><l>SumSquareDiffs</l><block s="reportVariadicSum"><list><block var="SquaredDiff"/><block var="SquaredDiff"/></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="SumSquareDiffs"/><block var="Count"/></block></block></script></block><custom-block s="return %s"><block var="variance"/></custom-block></script><script x="10" y="395.6666666666674"><block s="receiveKey"><l><option>space</option></l><list></list></block><block s="doSetVar"><l>list 1</l><block s="reportNewList"><list><l>2</l><l>4</l><l>8</l><l>12</l><l>16</l></list></block></block><custom-block s="calculate variance %s %s"><block var="list 1"/><block var="mean"/></custom-block><block s="doSetVar"><l>mean</l><l>5</l></block><block s="doSetVar"><l>Count</l><l>0</l></block><block s="doSetVar"><l>SumSquareDiffs</l><l>0</l></block><block s="doForEach"><l>num</l><block var="list 1"/><script><block s="doSetVar"><l>diff</l><block s="reportDifference"><block var="num"/><block var="mean"/></block></block><block s="doSetVar"><l>SquaredDiff</l><block s="reportVariadicProduct"><list><block var="diff"/><block var="diff"/></list></block></block><block s="doSetVar"><l>SumSquareDiffs</l><block s="reportVariadicSum"><list><block var="SquaredDiff"/><block var="SquaredDiff"/></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="SumSquareDiffs"/><block var="Count"/></block></block></script></block><custom-block s="return %s"><block var="variance"/></custom-block></script></scripts></sprite><watcher var="mean" style="normal" x="10" y="31.000001999999995" color="243,118,29"/><watcher var="Count" style="normal" x="10" y="52.00000399999999" color="243,118,29"/><watcher var="num" 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name="SumSquareDiffs"><l>3528</l></variable><variable name="num"><list struct="atomic" id="310">2,4,8,12,16</list></variable><variable name="diff"><l>42</l></variable><variable name="SquaredDiff"><l>1764</l></variable><variable name="variance"><l>705.6</l></variable><variable name="list 1"><list struct="atomic" id="311">2,4,8,12,16</list></variable><variable name="list 2"><list struct="atomic" id="312">3,7,10,23,31</list></variable><variable name="list 3"><list struct="atomic" id="313">5,10,22,36,47</list></variable><variable name="pseudo"><list struct="atomic" id="314">1,4,6,7,9</list></variable></variables></scene></scenes></project><media name="U5-PseudoPractice" app="Snap! 9.0, https://snap.berkeley.edu" version="2"></media></snapdata>