<snapdata remixID="15025493"><project name="Pseudocode Practice" 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="Pseudocode Practice"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="calculateVariance %&apos;numbers&apos; %&apos;mean&apos;" type="reporter" category="lists"><header></header><code></code><translations></translations><inputs><input type="%s" initial="1"></input><input type="%s" initial="1"></input></inputs><script><block s="doSetVar"><l>count</l><l>0</l></block><block s="doSetVar"><l>sumSquaredDiffs</l><l>0</l></block><block s="doForEach"><l>num</l><block var="numbers"/><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>sumSquaredDiffs</l><block s="reportVariadicSum"><list><block var="sumSquaredDiffs"/><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="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" 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</pentrails><costumes><list 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s="reportNewList"><list><l>2</l><l>6</l><l>8</l><l>12</l><l>16</l></list></block><l>23.36</l></custom-block></script></scripts></sprite><watcher var="count" style="normal" x="10" y="9.999999999999973" color="243,118,29"/><watcher var="sumSquaredDiffs" style="normal" x="10" y="31.000002000000002" color="243,118,29"/><watcher var="diff" style="normal" x="10" y="52.00000399999998" color="243,118,29"/><watcher var="squaredDiff" style="normal" x="10" y="73.00000599999996" color="243,118,29"/><watcher var="variance" style="normal" x="10" y="94.00000799999997" color="243,118,29"/></sprites></stage><variables><variable name="count"><l>5</l></variable><variable name="sumSquaredDiffs"><l>1176.768</l></variable><variable name="diff"><l>-7.359999999999999</l></variable><variable name="squaredDiff"><l>54.16959999999999</l></variable><variable name="variance"><l>235.3536</l></variable></variables></scene></scenes></project><media name="Pseudocode Practice" app="Snap! 11.0.8, 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