<snapdata remixID="15031827"><project name="Calculate Variance" 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="Calculate Variance"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="Calculate Variance %&apos;numbers&apos; and %&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="doSetVar"><l>Count</l><l>0</l></block><block s="doSetVar"><l>Sum Squared Difference</l><l>0</l></block><block s="doForEach"><l>num</l><block var="numbers"/><script><block s="doSetVar"><l>Difference</l><block s="reportDifference"><block var="num"/><block var="mean"/></block></block><block s="doSetVar"><l>Squared Difference</l><block s="reportVariadicProduct"><list><block var="Difference"/><block var="Difference"/></list></block></block><block s="doSetVar"><l>Sum Squared Difference</l><block s="reportVariadicSum"><list><block var="Sum Squared Difference"/><block var="Difference"/></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="Squared Difference"/><block var="Count"/></block></block></script></block><block s="doReport"><block var="Variance"/></block></script></block-definition><block-definition s="average of list %&apos;avglist&apos;" type="reporter" category="variables"><header></header><code></code><translations></translations><inputs><input type="%l" initial="1"></input></inputs><script><block s="doReport"><block s="reportQuotient"><block s="reportCombine"><block var="avglist"/><block s="reifyReporter"><autolambda><block s="reportVariadicSum"><list><l></l><l></l></list></block></autolambda><list></list></block></block><block s="reportListAttribute"><l><option>length</option></l><block var="avglist"/></block></block></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="80"><pentrails>data:image/png;base64,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</pentrails><costumes><list struct="atomic" id="81"></list></costumes><sounds><list struct="atomic" id="82"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="1"><sprite name="Sprite" idx="1" x="0" y="-1.1368683772161603e-13" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="80,80,80,1" pen="tip" id="87"><costumes><list struct="atomic" id="88"></list></costumes><sounds><list struct="atomic" id="89"></list></sounds><blocks></blocks><variables></variables><scripts><script x="20" y="53.6666666666668"><custom-block s="Calculate Variance %l and %s"><block s="reportNewList"><list><l>2</l><l>6</l><l>8</l><l>12</l><l>16</l></list></block><custom-block s="average of list %l"><block s="reportNewList"><list><l>2</l><l>6</l><l>8</l><l>12</l><l>16</l></list></block></custom-block></custom-block></script><script x="10" y="121.66666666666691"><custom-block s="Calculate Variance %l and %s"><block s="reportNewList"><list><l>3</l><l>7</l><l>10</l><l>23</l><l>31</l></list></block><custom-block s="average of list %l"><block s="reportNewList"><list><l>3</l><l>7</l><l>10</l><l>23</l><l>31</l></list></block></custom-block></custom-block></script><script x="29" y="179.6666666666669"><custom-block s="Calculate Variance %l and %s"><block s="reportNewList"><list><l>5</l><l>10</l><l>22</l><l>36</l><l>47</l></list></block><custom-block s="average of list %l"><block s="reportNewList"><list><l>5</l><l>10</l><l>22</l><l>36</l><l>47</l></list></block></custom-block></custom-block></script></scripts></sprite><watcher var="Count" style="normal" x="10" y="10" color="243,118,29"/><watcher var="Difference" style="normal" x="10" y="31.000002000000023" color="243,118,29"/><watcher var="Squared Difference" style="normal" x="10" y="52.00000399999999" color="243,118,29"/><watcher var="Sum Squared Difference" style="normal" x="10" y="73.00000600000004" color="243,118,29"/><watcher var="Variance" style="normal" x="10" y="94.00000799999992" color="243,118,29"/></sprites></stage><variables><variable name="Count"><l>5</l></variable><variable name="Difference"><l>23</l></variable><variable name="Squared Difference"><l>529</l></variable><variable name="Sum Squared Difference"><l>0</l></variable><variable name="Variance"><l>105.8</l></variable></variables></scene></scenes></project><media name="Calculate Variance" app="Snap! 11.0.8, https://snap.berkeley.edu" version="2"></media></snapdata>