<snapdata remixID="14234119"><project name="Data Predictions Project" 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="Data Predictions Project"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="set_data" type="command" category="lists"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doSetVar"><l>spag data</l><block var="data"/></block><block s="doSetVar"><l>onlyprice</l><block s="reportNewList"><list><l>0.85</l><l>0.88</l><l>0.88</l><l>0.88</l><l>0.88</l><l>0.91</l><l>0.93</l><l>0.92</l><l>0.95</l><l>0.87</l><l>0.89</l><l>0.85</l><l>1.13</l><l>1.17</l><l>1.19</l><l>1.31</l><l>1.31</l><l>1.26</l><l>1.16</l><l>1.29</l><l>1.24</l><l>1.16</l><l>1.19</l><l>1.31</l><l>1.09</l><l>1.43</l><l>1.38</l><l>0.88</l><l>1.29</l></list></block></block></script><scripts><script x="254.33333333333337" y="270.91666666666674"><block var="onlyprice"/></script><script x="10" y="247.63333333333344"><block s="doSetVar"><l>mean</l><l>0</l></block><block s="doSetVar"><l>median</l><l>0</l></block><block s="doSetVar"><l>standard_deviation</l><l>0</l></block><block s="doSetVar"><l>p^hat</l><l>0</l></block></script></scripts></block-definition><block-definition s="mean %&apos;data_list&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>a</l></list></block><block s="doSetVar"><l>a</l><block s="reportCombine"><block var="data_list"/><block s="reifyReporter"><autolambda><block s="reportVariadicSum"><list><l></l><l></l></list></block></autolambda><list></list></block></block></block><block s="doReport"><block s="reportQuotient"><block var="a"/><block s="reportListAttribute"><l><option>length</option></l><block var="data_list"/></block></block></block></script></block-definition><block-definition s="label %&apos;text&apos; of size %&apos;size&apos;" type="command" category="pen"><comment x="0" y="0" w="90" collapsed="false">LABEL will stamp text on the stage at the given font size. The direction of the text is the direction the sprite is facing, and color will match the pen color.</comment><header></header><code></code><translations>de:drucke _ in Größe _&#xD;ca:etiqueta _ de mida _&#xD;es:etiqueta _ de tamaño _&#xD;fr:étiquette _ d&apos;une taille de _&#xD;</translations><inputs><input type="%txt">Hello!</input><input type="%n">12</input></inputs><script><block s="doRun"><block s="reportJSFunction"><list><l>text</l><l>size</l><l>process</l></list><l>var stage = this.parentThatIsA(StageMorph);&#xD;&#xD;if (this == stage) {&#xD;    throw new Error(&#xD;     &apos;LABEL cannot be used from the stage because the stage does not have a postion.\n&apos;&#xD;     + &apos;Use LABEL from a sprite to draw text.&apos;);&#xD;}&#xD;&#xD;if (typeof text !== &apos;string&apos;) {&#xD;    throw new Error(&apos;LABEL can only draw text, not a &apos; + process.reportTypeOf(text)); &#xD;}&#xD;&#xD;var context = stage.penTrails().getContext(&apos;2d&apos;),&#xD;    rotation = radians(this.direction() - 90),&#xD;    trans = new Point(&#xD;      this.center().x - stage.left(),&#xD;      this.center().y - stage.top()&#xD;    ),&#xD;    isWarped = this.Warped,&#xD;    len,&#xD;    pos;&#xD;&#xD;if (isWarped) {endWarp(); }&#xD;context.save();&#xD;context.font = size + &apos;px monospace&apos;;&#xD;context.textAlign = &apos;left&apos;;&#xD;context.textBaseline = &apos;alphabetic&apos;;&#xD;context.fillStyle = this.color.toString();&#xD;len = context.measureText(text).width;&#xD;trans = trans.multiplyBy(1 / stage.scale);&#xD;context.translate(trans.x, trans.y);&#xD;context.rotate(rotation);&#xD;context.fillText(text, 0, 0);&#xD;context.translate(-trans.x, -trans.y);&#xD;context.restore();&#xD;pos = new Point(&#xD;  len * Math.sin(radians(this.direction())),&#xD;  len * Math.cos(radians(this.direction())));&#xD;pos = pos.add(new Point(this.xPosition(), this.yPosition()));&#xD;this.gotoXY(pos.x, pos.y, false);&#xD;this.changed();&#xD;if (isWarped) {this.startWarp(); }&#xD;stage.changed();&#xD;</l></block><list><block var="text"/><block var="size"/></list></block></script></block-definition><block-definition s="keep items such that %&apos;pred&apos; from %&apos;data&apos;" type="reporter" category="lists"><header></header><code></code><translations>de:behalte Elemente, die _ aus _&#xD;ca:manté els elements on _ de _&#xD;es:mantener los elementos donde _ de _&#xD;fr:garder les items tels que _ de _&#xD;</translations><inputs><input type="%predRing"></input><input type="%l"></input></inputs><script><block s="doIf"><custom-block s="empty? %l"><block var="data"/></custom-block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><list></list></block><block s="doIfElse"><block s="evaluate"><block var="pred"/><list><block s="reportListItem"><l>1</l><block var="data"/></block></list></block><script><block s="doReport"><block s="reportCONS"><block s="reportListItem"><l>1</l><block var="data"/></block><custom-block s="keep items such that %predRing from %l"><block var="pred"/><block s="reportCDR"><block var="data"/></block></custom-block></block></block></script><script><block s="doReport"><custom-block s="keep items such that %predRing from %l"><block var="pred"/><block s="reportCDR"><block var="data"/></block></custom-block></block></script></block></script></block-definition><block-definition s="combine with %&apos;function&apos; items of %&apos;data&apos;" type="reporter" category="lists"><header></header><code></code><translations>de:kombiniere mit _ die Elemente von _&#xD;ca:combina amb _ els elements de _&#xD;es:combinar con _ los elementos de _&#xD;fr:combine avec _ les items de _&#xD;</translations><inputs><input type="%repRing"></input><input type="%l"></input></inputs><script><block s="doIf"><custom-block s="empty? %l"><block s="reportCDR"><block var="data"/></block></custom-block><script><block s="doReport"><block s="reportListItem"><l>1</l><block var="data"/></block></block></script><list></list></block><block s="doReport"><block s="evaluate"><block var="function"/><list><block s="reportListItem"><l>1</l><block var="data"/></block><custom-block s="combine with %repRing items of %l"><block var="function"/><block s="reportCDR"><block var="data"/></block></custom-block></list></block></block></script></block-definition><block-definition s="if %&apos;test&apos; then %&apos;true&apos; else %&apos;false&apos;" type="reporter" category="control"><header></header><code></code><translations>de:wenn _ dann _ sonst _&#xD;ca:si _ llavors _ si no _&#xD;es:si _ entonces _ sino _&#xD;fr:si _ alors _ sinon _&#xD;</translations><inputs><input type="%b"></input><input type="%anyUE"></input><input type="%anyUE"></input></inputs><script><block s="doIfElse"><block var="test"/><script><block s="doReport"><block s="evaluate"><block var="true"/><list></list></block></block></script><script><block s="doReport"><block s="evaluate"><block var="false"/><list></list></block></block></script></block></script></block-definition><block-definition s="for %&apos;i&apos; = %&apos;start&apos; to %&apos;end&apos; %&apos;action&apos;" type="command" category="control"><header></header><code></code><translations>de:für _ = _ bis _ _&#xD;ca:per _ = _ fins _ _&#xD;es:para _ = _ hasta _ _&#xD;fr:pour _ allant de _ à _ _&#xD;</translations><inputs><input type="%upvar"></input><input type="%n">1</input><input type="%n">10</input><input type="%cs"></input></inputs><script><block s="doDeclareVariables"><list><l>step</l><l>tester</l></list></block><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block var="start"/><block var="end"/></list></block><script><block s="doSetVar"><l>step</l><l>-1</l></block><block s="doSetVar"><l>tester</l><block s="reifyReporter"><autolambda><block s="reportVariadicLessThan"><list><block var="i"/><block var="end"/></list></block></autolambda><list></list></block></block></script><script><block s="doSetVar"><l>step</l><l>1</l></block><block s="doSetVar"><l>tester</l><block s="reifyReporter"><autolambda><block s="reportVariadicGreaterThan"><list><block var="i"/><block var="end"/></list></block></autolambda><list></list></block></block></script></block><block s="doSetVar"><l>i</l><block var="start"/></block><block s="doUntil"><block s="evaluate"><block var="tester"/><list></list></block><script><block s="doRun"><block var="action"/><list></list></block><block s="doChangeVar"><l>i</l><block var="step"/></block></script></block></script></block-definition><block-definition s="join words %&apos;words&apos;" type="reporter" category="operators"><header></header><code></code><translations>de:füge Wörter zusammen _&#xD;ca:uneix les paraules _&#xD;es:unir las palabras _&#xD;fr:fusionne les mots _&#xD;</translations><inputs><input type="%mult%txt"></input></inputs><script><block s="doIf"><custom-block s="empty? %l"><block s="reportCDR"><block var="words"/></block></custom-block><script><block s="doReport"><block s="reportListItem"><l>1</l><block var="words"/></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><l></l><block s="reportListItem"><l>1</l><block var="words"/></block></list></block><script><block s="doReport"><custom-block s="join words %mult%txt"><block s="reportCDR"><block var="words"/></block></custom-block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><l></l><block s="reportListItem"><l>2</l><block var="words"/></block></list></block><script><block s="doReport"><custom-block s="join words %mult%txt"><block s="reportCONS"><block s="reportListItem"><l>1</l><block var="words"/></block><block s="reportCDR"><block s="reportCDR"><block var="words"/></block></block></block></custom-block></block></script><list></list></block><block s="doReport"><block s="reportJoinWords"><list><block s="reportListItem"><l>1</l><block var="words"/></block><l> </l><custom-block s="join words %mult%txt"><block s="reportCDR"><block var="words"/></block></custom-block></list></block></block></script></block-definition><block-definition s="list $arrowRight sentence %&apos;data&apos;" type="reporter" category="operators"><header></header><code></code><translations>de:Liste $arrowRight Satz _&#xD;ca:llista $arrowRight frase _&#xD;es:lista $arrowRight frase _&#xD;fr:liste $arrowRight phrase _&#xD;</translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><custom-block s="join words %mult%txt"><block var="data"/></custom-block></block></script></block-definition><block-definition s="sentence $arrowRight list %&apos;text&apos;" type="reporter" category="operators"><header></header><code></code><translations>de:Satz $arrowRight Liste _&#xD;ca:frase $arrowRight llista _&#xD;es:frase $arrowRight lista _&#xD;fr:phrase $arrowRight liste _&#xD;</translations><inputs><input type="%txt"></input></inputs><script><block s="doReport"><block s="reportTextSplit"><block var="text"/><l><option>whitespace</option></l></block></block></script></block-definition><block-definition s="catch %&apos;tag&apos; %&apos;action&apos;" type="command" category="control"><header></header><code></code><translations>de:fange _ _&#xD;ca:agafa _ _&#xD;es:atrapar _ _&#xD;fr:attrape _ _&#xD;</translations><inputs><input type="%upvar"></input><input type="%cs"></input></inputs><script><block s="doCallCC"><block s="reifyScript"><script><block s="doSetVar"><l>tag</l><block var="cont"/></block><block s="doRun"><block var="action"/><list></list></block></script><list><l>cont</l></list></block></block><custom-block s="ignore %s"><l>3</l></custom-block></script></block-definition><block-definition s="throw %&apos;cont&apos;" type="command" category="control"><header></header><code></code><translations>de:wirf _&#xD;ca:llança _&#xD;es:lanzar _&#xD;fr:lance _&#xD;</translations><inputs><input type="%s">catchtag</input></inputs><script><block s="doRun"><block var="cont"/><list></list></block></script></block-definition><block-definition s="catch %&apos;tag&apos; %&apos;value&apos;" type="reporter" category="control"><header></header><code></code><translations>de:fange _ _&#xD;ca:agafa _ _&#xD;es:atrapar _ _&#xD;fr:attrape _ _&#xD;</translations><inputs><input type="%upvar"></input><input type="%anyUE"></input></inputs><script><block s="doCallCC"><block s="reifyScript"><script><block s="doSetVar"><l>tag</l><block var="cont"/></block><block s="doReport"><block s="evaluate"><block var="value"/><list></list></block></block></script><list><l>cont</l></list></block></block></script></block-definition><block-definition s="throw %&apos;tag&apos; %&apos;value&apos;" type="command" category="control"><header></header><code></code><translations>de:wirf _ _&#xD;ca:llança _ _&#xD;es:lanzar _ _&#xD;fr:lance _ _&#xD;</translations><inputs><input type="%s">catchtag</input><input type="%s"></input></inputs><script><block s="doRun"><block var="tag"/><list><block var="value"/></list></block></script></block-definition><block-definition s="for each %&apos;item&apos; of %&apos;data&apos; %&apos;action&apos;" type="command" category="lists"><header></header><code></code><translations>de:für jedes _ von _ _&#xD;ca:per cada _ de _ _&#xD;es:para cada _ de _ _&#xD;fr:pour chaque _ de _ _&#xD;</translations><inputs><input type="%upvar"></input><input type="%l"></input><input type="%cs"></input></inputs><script><block s="doUntil"><custom-block s="empty? %l"><block var="data"/></custom-block><script><block s="doSetVar"><l>item</l><block s="reportListItem"><l>1</l><block var="data"/></block></block><block s="doRun"><block var="action"/><list><block s="reportListItem"><l>1</l><block var="data"/></block></list></block><block s="doSetVar"><l>data</l><block s="reportCDR"><block var="data"/></block></block></script></block></script></block-definition><block-definition s="if %&apos;test&apos; do %&apos;action&apos; and pause all $pause-1-255-220-0" type="command" category="control"><header></header><code></code><translations>de:falls _ dann _ und pause $pause-1-255-220-0&#xD;ca:si _ fes _ i atura-ho tot $pause-1-255-220-0&#xD;es:si _ haz _ y páralo todo $pause-1-255-220-0&#xD;fr:si _ faire _ et mettre tout en pause $pause-1-255-220-0&#xD;</translations><inputs><input type="%boolUE"></input><input type="%cs"></input></inputs><script><block s="doDeclareVariables"><list><l>breakpoint</l></list></block><block s="doIf"><block s="evaluate"><block var="test"/><list></list></block><script><block s="doSetVar"><l>breakpoint</l><block var="test"/></block><block s="doShowVar"><l>breakpoint</l></block><block s="doRun"><block var="action"/><list></list></block><block s="doPauseAll"></block><block s="doHideVar"><l></l></block></script><list></list></block></script></block-definition><block-definition s="word $arrowRight list %&apos;word&apos;" type="reporter" category="operators"><header></header><code></code><translations>de:Wort $arrowRight Liste _&#xD;ca:paraula $arrowRight llista _&#xD;es:palabra $arrowRight lista _&#xD;fr:mot $arrowRight liste _&#xD;</translations><inputs><input type="%txt"></input></inputs><script><block s="doReport"><block s="reportTextSplit"><block var="word"/><l><option>letter</option></l></block></block></script></block-definition><block-definition s="ignore %&apos;x&apos;" type="command" category="control"><header></header><code></code><translations>de:ignoriere _&#xD;ca:ignora _&#xD;es:ignorar _&#xD;fr:ignore _&#xD;</translations><inputs><input type="%s"></input></inputs></block-definition><block-definition s="list $arrowRight word %&apos;list&apos;" type="reporter" category="operators"><header></header><code></code><translations>de:Liste $arrowRight Wort _&#xD;ca:llista $arrowRight paraula _&#xD;es:lista $arrowRight palabra _&#xD;fr:liste $arrowRight mot _&#xD;</translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportJoinWords"><block var="list"/></block></block></script></block-definition><block-definition s="%&apos;x&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doReport"><block var="x"/></block></script></block-definition><block-definition s="numbers from %&apos;from&apos; to %&apos;to&apos;" type="reporter" category="lists"><header></header><code></code><translations>de:Zahlen von _ bis _&#xD;ca:nombres des de _ a _&#xD;es:números de _ a _&#xD;fr:nombres de _ à _&#xD;</translations><inputs><input type="%n">1</input><input type="%n">10</input></inputs><script><block s="doIf"><block s="reportVariadicGreaterThan"><list><block var="from"/><block var="to"/></list></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><list></list></block><block s="doReport"><block s="reportCONS"><block var="from"/><custom-block s="numbers from %n to %n"><block s="reportVariadicSum"><list><block var="from"/><l>1</l></list></block><block var="to"/></custom-block></block></block></script></block-definition><block-definition s="map %&apos;func&apos; over %&apos;data&apos;" type="reporter" category="lists"><header></header><code></code><translations>de:wende _ an auf _&#xD;ca:mapeja _ sobre _&#xD;es:mapear _ sobre _&#xD;fr:appliquer _ à _&#xD;</translations><inputs><input type="%repRing"></input><input type="%l"></input></inputs><script><block s="doIf"><custom-block s="empty? %l"><block var="data"/></custom-block><script><block s="doReport"><block var="data"/></block></script><list></list></block><block s="doReport"><block s="reportCONS"><block s="evaluate"><block var="func"/><list><block s="reportListItem"><l>1</l><block var="data"/></block></list></block><custom-block s="map %repRing over %l"><block var="func"/><block s="reportCDR"><block var="data"/></block></custom-block></block></block></script></block-definition><block-definition s="median %&apos;data_list&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doIfElse"><block s="reportVariadicEquals"><list><l>0</l><block s="reportModulus"><block s="reportListAttribute"><l><option>length</option></l><block var="data_list"/></block><l>2</l></block></list></block><script><block s="doSetVar"><l>median</l><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportListItem"><block s="reportQuotient"><block s="reportListAttribute"><l><option>length</option></l><block var="data_list"/></block><l>2</l></block><block var="data_list"/></block><block s="reportListItem"><block s="reportVariadicSum"><list><block s="reportQuotient"><block s="reportListAttribute"><l><option>length</option></l><block var="data_list"/></block><l>2</l></block><l>1</l></list></block><block var="data_list"/></block></list></block><l>2</l></block></block></script><script><block s="doSetVar"><l>median</l><block s="reportListItem"><block s="reportVariadicSum"><list><l>0.5</l><block s="reportQuotient"><block s="reportListAttribute"><l><option>length</option></l><block var="data_list"/></block><l>2</l></block></list></block><block var="data_list"/></block></block></script></block><block s="doReport"><block var="median"/></block></script><scripts><script x="145.0888671875" y="321.49999999999994"><block var="data_list"/></script></scripts></block-definition><block-definition s="append %&apos;lists&apos;" type="reporter" category="lists"><comment x="0" y="0" w="287" collapsed="false">Take any number of input lists, and create a new list containing the items of the input lists.  So&#xD;              APPEND [A B] [C D]&#xD;where the [,,,] are lists reports the list&#xD;              [A B C D]&#xD;not [[A B] [C D]].</comment><header></header><code></code><translations></translations><inputs><input type="%mult%l"></input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="lists"/><block s="reportNewList"><list></list></block></list></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="lists"/></block><l>1</l></list></block><script><block s="doReport"><block s="reportListItem"><l>1</l><block var="lists"/></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="lists"/></block><block s="reportNewList"><list></list></block></list></block><script><block s="doReport"><custom-block s="append %mult%l"><block s="reportCDR"><block var="lists"/></block></custom-block></block></script><list></list></block><block s="doReport"><block s="reportCONS"><block s="reportListItem"><l>1</l><block s="reportListItem"><l>1</l><block var="lists"/></block></block><custom-block s="append %mult%l"><block s="reportCONS"><block s="reportCDR"><block s="reportListItem"><l>1</l><block var="lists"/></block></block><block s="reportCDR"><block var="lists"/></block></block></custom-block></block></block></script></block></script></block-definition><block-definition s="reverse %&apos;data&apos;" type="reporter" category="lists"><comment x="0" y="0" w="222.99999999999997" collapsed="false">Reports a new list containing the items of the input list, but in the opposite order.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>helper</l></list></block><block s="doSetVar"><l>helper</l><block s="reifyScript"><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="input"/><block s="reportNewList"><list></list></block></list></block><script><block s="doReport"><block var="result"/></block></script><list></list></block><block s="doReport"><block s="evaluate"><block var="helper"/><list><block s="reportCDR"><block var="input"/></block><block s="reportCONS"><block s="reportListItem"><l>1</l><block var="input"/></block><block var="result"/></block></list></block></block></script><list><l>input</l><l>result</l></list></block></block><block s="doWarp"><script><block s="doReport"><block s="evaluate"><block var="helper"/><list><block var="data"/><block s="reportNewList"><list></list></block></list></block></block></script></block></script></block-definition><block-definition s="remove duplicates from %&apos;data&apos;" type="reporter" category="lists"><comment x="0" y="0" w="209" collapsed="false">Reports a new list whose items are the same as in the input list, except that if two or more equal items appear in the input list, only the last one is kept in the result.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="data"/><block s="reportNewList"><list></list></block></list></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><list></list></block><block s="doIfElse"><block s="reportListContainsItem"><block s="reportCDR"><block var="data"/></block><block s="reportListItem"><l>1</l><block var="data"/></block></block><script><block s="doReport"><custom-block s="remove duplicates from %l"><block s="reportCDR"><block var="data"/></block></custom-block></block></script><script><block s="doReport"><block s="reportCONS"><block s="reportListItem"><l>1</l><block var="data"/></block><custom-block s="remove duplicates from %l"><block s="reportCDR"><block var="data"/></block></custom-block></block></block></script></block></script></block></script></block-definition><block-definition s="sort %&apos;data&apos; ordering with %&apos;function&apos;" type="reporter" category="lists"><comment x="0" y="0" w="204" collapsed="false">Reports a sorted version of the list in its first input slot, using the comparison function in the second input slot.  For a list of numbers, using &lt; as the comparison function will sort from low to high; using &gt; will sort from high to low.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%predRing"></input></inputs><script><block s="doDeclareVariables"><list><l>even items</l><l>odd items</l><l>merge</l></list></block><block s="doSetVar"><l>odd items</l><block s="reifyScript"><script><block s="doIf"><block s="reportVariadicEquals"><list><l></l><block s="reportNewList"><list></list></block></list></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><list></list></block><block s="doReport"><block s="reportCONS"><block s="reportListItem"><l>1</l><l/></block><block s="evaluate"><block var="even items"/><list><block s="reportCDR"><l/></block></list></block></block></block></script><list></list></block></block><block s="doSetVar"><l>even items</l><block s="reifyScript"><script><block s="doIf"><block s="reportVariadicEquals"><list><l></l><block s="reportNewList"><list></list></block></list></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><list></list></block><block s="doReport"><block s="evaluate"><block var="odd items"/><list><block s="reportCDR"><l/></block></list></block></block></script><list></list></block></block><block s="doSetVar"><l>merge</l><block s="reifyScript"><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="#1"/><block s="reportNewList"><list></list></block></list></block><script><block s="doReport"><block var="#2"/></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="#2"/><block s="reportNewList"><list></list></block></list></block><script><block s="doReport"><block var="#1"/></block></script><list></list></block><block s="doIfElse"><block s="evaluate"><block var="function"/><list><block s="reportListItem"><l>1</l><block var="#1"/></block><block s="reportListItem"><l>1</l><block var="#2"/></block></list></block><script><block s="doReport"><block s="reportCONS"><block s="reportListItem"><l>1</l><block var="#1"/></block><block s="evaluate"><block var="merge"/><list><block s="reportCDR"><block var="#1"/></block><block var="#2"/></list></block></block></block></script><script><block s="doReport"><block s="reportCONS"><block s="reportListItem"><l>1</l><block var="#2"/></block><block s="evaluate"><block var="merge"/><list><block var="#1"/><block s="reportCDR"><block var="#2"/></block></list></block></block></block></script></block></script><list><l>#1</l><l>#2</l></list></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="data"/><block s="reportNewList"><list></list></block></list></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportCDR"><block var="data"/></block><block s="reportNewList"><list></list></block></list></block><script><block s="doReport"><block var="data"/></block></script><list></list></block><block s="doReport"><block s="evaluate"><block var="merge"/><list><custom-block s="sort %l ordering with %predRing"><block s="evaluate"><block var="odd items"/><list><block var="data"/></list></block><block var="function"/></custom-block><custom-block s="sort %l ordering with %predRing"><block s="evaluate"><block var="even items"/><list><block var="data"/></list></block><block var="function"/></custom-block></list></block></block></script></block-definition><block-definition s="assoc %&apos;key&apos; %&apos;a-list&apos;" type="reporter" category="lists"><comment x="0" y="0" w="289.3333333333333" collapsed="false">The second input is an &quot;association list,&quot; a list of two-item lists.  Each of those smaller lists has a &quot;key&quot; as its first item and a &quot;value&quot; as its second.  ASSOC reports the first key-value pair in the association list whose key matches the first input.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="a-list"/><block s="reportNewList"><list></list></block></list></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="key"/><block s="reportListItem"><l>1</l><block s="reportListItem"><l>1</l><block var="a-list"/></block></block></list></block><script><block s="doReport"><block s="reportListItem"><l>1</l><block var="a-list"/></block></block></script><list></list></block><block s="doReport"><custom-block s="assoc %s %l"><block var="key"/><block s="reportCDR"><block var="a-list"/></block></custom-block></block></script></block-definition><block-definition s="%&apos;#&apos; map %&apos;function&apos; over %&apos;lists&apos;" type="reporter" category="lists"><header></header><code></code><translations></translations><inputs><input type="%upvar"></input><input type="%repRing"></input><input type="%mult%l"></input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>mapone</l><l>mapmany</l></list></block><block s="doSetVar"><l>mapone</l><block s="reifyScript"><script><block s="doIf"><custom-block s="empty? %l"><block var="data"/></custom-block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><list></list></block><block s="doSetVar"><l>#</l><block var="count"/></block><block s="doReport"><block s="reportCONS"><block s="evaluate"><block var="function"/><list><block s="reportListItem"><l>1</l><block var="data"/></block></list></block><block s="evaluate"><block var="mapone"/><list><block s="reportCDR"><block var="data"/></block><block s="reportVariadicSum"><list><block var="count"/><l>1</l></list></block></list></block></block></block></script><list><l>data</l><l>count</l></list></block></block><block s="doSetVar"><l>mapmany</l><block s="reifyScript"><script><block s="doIf"><custom-block s="empty? %l"><block s="reportListItem"><l>1</l><block var="data lists"/></block></custom-block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><list></list></block><block s="doSetVar"><l>#</l><block var="count"/></block><block s="doReport"><block s="reportCONS"><block s="evaluate"><block var="function"/><custom-block s="%upvar map %repRing over %mult%l"><l>#</l><block s="reifyReporter"><autolambda><block s="reportListItem"><l>1</l><l/></block></autolambda><list></list></block><list><block var="data lists"/></list></custom-block></block><block s="evaluate"><block var="mapmany"/><list><custom-block s="%upvar map %repRing over %mult%l"><l>#</l><block s="reifyReporter"><autolambda><block s="reportCDR"><l/></block></autolambda><list></list></block><list><block var="data lists"/></list></custom-block><block s="reportVariadicSum"><list><block var="count"/><l>1</l></list></block></list></block></block></block></script><list><l>data lists</l><l>count</l></list></block></block><block s="doIfElse"><custom-block s="empty? %l"><block s="reportCDR"><block var="lists"/></block></custom-block><script><block s="doReport"><block s="evaluate"><block var="mapone"/><list><block s="reportListItem"><l>1</l><block var="lists"/></block><l>1</l></list></block></block></script><script><block s="doReport"><block s="evaluate"><block var="mapmany"/><list><block var="lists"/><l>1</l></list></block></block></script></block></script></block></script></block-definition><block-definition s="empty? %&apos;data&apos;" type="predicate" category="lists"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportVariadicEquals"><list><block var="data"/><block s="reportNewList"><list></list></block></list></block></block></script></block-definition><block-definition s="%&apos;#&apos; keep items such that %&apos;pred&apos; from %&apos;data&apos;" type="reporter" category="lists"><header></header><code></code><translations></translations><inputs><input type="%upvar"></input><input type="%predRing"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>keep-helper</l></list></block><block s="doSetVar"><l>keep-helper</l><block s="reifyScript"><script><block s="doWarp"><script><block s="doIf"><custom-block s="empty? %l"><block var="data"/></custom-block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><list></list></block><block s="doSetVar"><l>#</l><block var="count"/></block><block s="doIfElse"><block s="evaluate"><block var="pred"/><list><block s="reportListItem"><l>1</l><block var="data"/></block></list></block><script><block s="doReport"><block s="reportCONS"><block s="reportListItem"><l>1</l><block var="data"/></block><block s="evaluate"><block var="keep-helper"/><list><block s="reportCDR"><block var="data"/></block><block s="reportVariadicSum"><list><block var="count"/><l>1</l></list></block></list></block></block></block></script><script><block s="doReport"><block s="evaluate"><block var="keep-helper"/><list><block s="reportCDR"><block var="data"/></block><block s="reportVariadicSum"><list><block var="count"/><l>1</l></list></block></list></block></block></script></block></script></block></script><list><l>data</l><l>count</l></list></block></block><block s="doReport"><block s="evaluate"><block var="keep-helper"/><list><block var="data"/><l>1</l></list></block></block></script></block-definition><block-definition s="%&apos;#&apos; for each %&apos;item&apos; of %&apos;data&apos; %&apos;action&apos;" type="command" category="lists"><header></header><code></code><translations></translations><inputs><input type="%upvar"></input><input type="%upvar"></input><input type="%l"></input><input type="%cs"></input></inputs><script><block s="doSetVar"><l>#</l><l>1</l></block><block s="doUntil"><custom-block s="empty? %l"><block var="data"/></custom-block><script><block s="doSetVar"><l>item</l><block s="reportListItem"><l>1</l><block var="data"/></block></block><block s="doRun"><block var="action"/><list><block s="reportListItem"><l>1</l><block var="data"/></block></list></block><block s="doSetVar"><l>data</l><block s="reportCDR"><block var="data"/></block></block><block s="doChangeVar"><l>#</l><l>1</l></block></script></block></script></block-definition><block-definition s="sd %&apos;data_list&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doSetVar"><l>sd calc</l><block s="reportNewList"><list></list></block></block><custom-block s="for each %upvar of %l %cs"><l>item</l><block var="data_list"/><script><block s="doAddToList"><block s="reportPower"><block s="reportDifference"><block var="item"/><block var="mean"/></block><l>2</l></block><block var="sd calc"/></block></script></custom-block><block s="doSetVar"><l>sd calc</l><block s="reportMonadic"><l><option>sqrt</option></l><block s="reportQuotient"><block s="reportCombine"><block var="sd calc"/><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="data_list"/></block></block></block></block><block s="doReport"><block var="sd calc"/></block></script></block-definition><block-definition s="square %&apos;num&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%n"></input></inputs><script><block s="doReport"><block s="reportVariadicProduct"><list><block var="num"/><block var="num"/></list></block></block></script></block-definition><block-definition s="phat %&apos;data_list&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>a</l></list></block><block s="doSetVar"><l>a</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>a</l><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportVariadicGreaterThan"><list><l></l><l>1</l></list></block></autolambda><list></list></block><block var="data_list"/></block></block><block s="doReport"><block s="reportQuotient"><block s="reportListAttribute"><l><option>length</option></l><block var="a"/></block><block s="reportListAttribute"><l><option>length</option></l><block var="data_list"/></block></block></block></script></block-definition><block-definition s="column %&apos;num&apos; of %&apos;data&apos;" type="reporter" category="lists"><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>a</l></list></block><block s="doSetVar"><l>a</l><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportListItem"><block var="num"/><l/></block></autolambda><list></list></block><block var="data"/></block></block><block s="doReport"><block var="a"/></block></script><scripts><script x="29.635904947916742" y="175.03333333333336"><block s="doForEach"><l>item</l><l/><script></script></block></script><script x="236.74934895833337" y="188.66666666666669"><block var="data"/></script></scripts></block-definition><block-definition s="data set" type="command" category="lists"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doSetVar"><l>data</l><block s="reportNewList"><list><block s="reportNewList"><list><l>1995</l><l>0.88</l></list></block><block s="reportNewList"><list><l>1996</l><l>0.85</l></list></block><block s="reportNewList"><list><l>1997</l><l>0.88</l></list></block><block s="reportNewList"><list><l>1998</l><l>0.88</l></list></block><block s="reportNewList"><list><l>1999</l><l>0.88</l></list></block><block s="reportNewList"><list><l>2000</l><l>0.88</l></list></block><block s="reportNewList"><list><l>2001</l><l>0.91</l></list></block><block s="reportNewList"><list><l>2002</l><l>0.93</l></list></block><block s="reportNewList"><list><l>2003</l><l>0.92</l></list></block><block s="reportNewList"><list><l>2004</l><l>0.95</l></list></block><block s="reportNewList"><list><l>2005</l><l>0.87</l></list></block><block s="reportNewList"><list><l>2006</l><l>0.89</l></list></block><block s="reportNewList"><list><l>2007</l><l>0.85</l></list></block><block s="reportNewList"><list><l>2008</l><l>1.13</l></list></block><block s="reportNewList"><list><l>2009</l><l>1.17</l></list></block><block s="reportNewList"><list><l>2019</l><l>1.19</l></list></block><block s="reportNewList"><list><l>2011</l><l>1.31</l></list></block><block s="reportNewList"><list><l>2012</l><l>1.31</l></list></block><block s="reportNewList"><list><l>2013</l><l>1.26</l></list></block><block s="reportNewList"><list><l>2014</l><l>1.16</l></list></block><block s="reportNewList"><list><l>2015</l><l>1.29</l></list></block><block s="reportNewList"><list><l>2016</l><l>1.29</l></list></block><block s="reportNewList"><list><l>2017</l><l>1.24</l></list></block><block s="reportNewList"><list><l>2018</l><l>1.16</l></list></block><block s="reportNewList"><list><l>2019</l><l>1.19</l></list></block><block s="reportNewList"><list><l>2020</l><l>1.31</l></list></block><block s="reportNewList"><list><l>2021</l><l>1.09</l></list></block><block s="reportNewList"><list><l>2022</l><l>1.43</l></list></block><block s="reportNewList"><list><l>2023</l><l>1.38</l></list></block></list></block></block></script></block-definition></blocks><primitives><block-definition s="set %&apos;#1&apos; to %&apos;#2&apos;" type="command" category="variables" selector="doSetVar" primitive="doSetVar"><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true" irreplaceable="true"><options>§_getVarNamesDict</options></input><input type="%s">0</input></inputs><script><block s="doPrimitive"><l><bool>true</bool></l><l>doSetVar</l></block></script></block-definition></primitives><stage name="Stage" width="480" height="360" costume="1" 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="1741"><pentrails>data:image/png;base64,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</pentrails><costumes><list id="1742"><item><ref mediaID="Stage_cst_Untitled"></ref></item></list></costumes><sounds><list struct="atomic" id="1743"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="1"><watcher var="spag data" style="normal" x="35.75471698113188" y="1.6415094339622698" color="243,118,29" extX="134.123046875" extY="150" hidden="true"/><watcher var="onlyprice" style="normal" x="350" y="94" color="243,118,29" extX="80" extY="70" hidden="true"/><watcher var="sortedlist" style="normal" x="134" y="169" color="243,118,29" extX="80" extY="70" hidden="true"/><watcher var="sd calc" style="normal" x="9" y="332" color="243,118,29" hidden="true"/><watcher var="p^hat" style="normal" x="12.886792452828331" y="286.18867924528314" color="243,118,29" hidden="true"/><watcher var="mean" style="normal" x="10.773584905659845" y="220.17924328301885" color="243,118,29" hidden="true"/><watcher var="median" style="normal" x="12.622641509433606" y="180.96226415094355" color="243,118,29" hidden="true"/><watcher var="standard_deviation" style="normal" x="14.67924528301728" y="255.6226415094343" color="243,118,29" hidden="true"/><watcher scope="Sprite" s="xPosition" style="normal" x="10" y="10" color="74,108,212" hidden="true"/><watcher scope="Sprite" s="yPosition" style="normal" x="10" y="31.000001999999995" color="74,108,212" hidden="true"/><sprite name="Sprite" idx="1" x="176.208984375" y="-9.999999999999943" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="145,26,68,1" pen="tip" id="1758"><costumes><list struct="atomic" id="1759"></list></costumes><sounds><list struct="atomic" id="1760"></list></sounds><blocks></blocks><variables></variables><scripts><script x="30" y="30"><block s="receiveGo"></block><custom-block s="set_data"></custom-block><block s="doSetVar"><l>sortedlist</l><custom-block s="sort %l ordering with %predRing"><custom-block s="column %n of %l"><l>2</l><block var="data"/></custom-block><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThan"><list><l></l><l></l></list></block></autolambda><list></list></block></custom-block></block><block s="doSetVar"><l>median</l><custom-block s="median %l"><custom-block s="column %n of %l"><l>2</l><block var="data"/></custom-block></custom-block></block><block s="doSetVar"><l>mean</l><custom-block s="mean %l"><custom-block s="column %n of %l"><l>2</l><block var="data"/></custom-block></custom-block></block><block s="doSetVar"><l>standard_deviation</l><custom-block s="sd %l"><custom-block s="column %n of %l"><l>2</l><block var="data"/></custom-block></custom-block></block><block s="doSetVar"><l>p^hat</l><custom-block s="phat %l"><custom-block s="column %n of %l"><l>2</l><block var="data"/></custom-block></custom-block></block></script><script x="40" y="291.33333333333337"><block s="receiveGo"></block><block s="clear"></block><block s="up"></block><block s="gotoXY"><l>-200</l><l>90</l></block><block s="down"></block><block s="setColor"><color>145,26,68,1</color></block><block s="write"><l>Spaghetti Prices in the US from 1995 to 2024 ($/pound)</l><l>12</l></block><block s="up"></block><block s="gotoXY"><l>-120</l><l>50</l></block><block s="write"><block s="reportJoinWords"><list><l>Median: $</l><block var="median"/></list></block><l>12</l></block><block s="setXPosition"><l>-120</l></block><block s="changeYPosition"><l>-20</l></block><block s="write"><block s="reportJoinWords"><list><l>Mean: $</l><block var="mean"/></list></block><l>12</l></block><block s="setXPosition"><l>-120</l></block><block s="changeYPosition"><l>-20</l></block><block s="write"><block s="reportJoinWords"><list><l>Standard deviation: $</l><block var="sd calc"/></list></block><l>12</l></block><block s="setXPosition"><l>-120</l></block><block s="changeYPosition"><l>-20</l></block><block s="write"><block s="reportJoinWords"><list><l>Probability price&gt; $1: </l><block var="p^hat"/></list></block><l>12</l></block></script></scripts></sprite></sprites></stage><variables><variable name="mean"><l>1.086206896551724</l></variable><variable name="median"><l>1.19</l></variable><variable name="standard_deviation"><l>0.19008915862904868</l></variable><variable name="p^hat"><l>0.5517241379310345</l></variable><variable name="spag data"><list id="1878"><item><list struct="atomic" id="1879">1995,0.88</list></item><item><list struct="atomic" id="1880">1996,0.85</list></item><item><list struct="atomic" id="1881">1997,0.88</list></item><item><list struct="atomic" id="1882">1998,0.88</list></item><item><list struct="atomic" id="1883">1999,0.88</list></item><item><list struct="atomic" id="1884">2000,0.88</list></item><item><list struct="atomic" id="1885">2001,0.91</list></item><item><list struct="atomic" id="1886">2002,0.93</list></item><item><list struct="atomic" id="1887">2003,0.92</list></item><item><list struct="atomic" id="1888">2004,0.95</list></item><item><list struct="atomic" id="1889">2005,0.87</list></item><item><list struct="atomic" id="1890">2006,0.89</list></item><item><list struct="atomic" id="1891">2007,0.85</list></item><item><list struct="atomic" id="1892">2008,1.13</list></item><item><list struct="atomic" id="1893">2010,1.19</list></item><item><list struct="atomic" id="1894">2019,1.19</list></item><item><list struct="atomic" id="1895">2011,1.31</list></item><item><list struct="atomic" id="1896">2012,1.31</list></item><item><list struct="atomic" id="1897">2013,1.26</list></item><item><list struct="atomic" id="1898">2014,1.16</list></item><item><list struct="atomic" id="1899">2015,1.29</list></item><item><list struct="atomic" id="1900">2016,1.29</list></item><item><list struct="atomic" id="1901">2017,1.24</list></item><item><list struct="atomic" id="1902">2018,1.16</list></item><item><list struct="atomic" id="1903">2019,1.19</list></item><item><list struct="atomic" id="1904">2020,1.31</list></item><item><list struct="atomic" id="1905">2021,1.09</list></item><item><list struct="atomic" id="1906">2022,1.43</list></item><item><list struct="atomic" id="1907">2023,1.38</list></item></list></variable><variable name="data"><ref id="1878"></ref></variable><variable name="sortedlist"><list struct="atomic" linked="linked" id="1908">0.85,0.85,0.87,0.88,0.88,0.88,0.88,0.88,0.89,0.91,0.92,0.93,0.95,1.09,1.13,1.16,1.16,1.19,1.19,1.19,1.24,1.26,1.29,1.29,1.31,1.31,1.31,1.38,1.43</list></variable><variable name="onlyprice"><list struct="atomic" id="1909">0.85,0.88,0.88,0.88,0.88,0.91,0.93,0.92,0.95,0.87,0.89,0.85,1.13,1.17,1.19,1.31,1.31,1.26,1.16,1.29,1.24,1.16,1.19,1.31,1.09,1.43,1.38,0.88,1.29</list></variable><variable name="sd calc"><l>0.19008915862904868</l></variable></variables></scene></scenes></project><media name="Data Predictions Project" app="Snap! 10.4.6, https://snap.berkeley.edu" version="2"><costume name="Untitled" center-x="204.5" center-y="228.5" image="data:image/png;base64,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" mediaID="Stage_cst_Untitled"/></media></snapdata>