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    <title>MaplePrimes - answers and comments on Question, Animated Standard Normal Distribution</title>
    <link>http://www.mapleprimes.com/questions/141728-Animated-Standard-Normal-Distribution</link>
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    <lastBuildDate>Tue, 09 Jun 2026 07:59:52 GMT</lastBuildDate>
    <pubDate>Tue, 09 Jun 2026 07:59:52 GMT</pubDate>
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    <description>The latest answers and comments added to the Question, Animated Standard Normal Distribution</description>
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      <url>http://www.mapleprimes.com/images/mapleprimeswhite.jpg</url>
      <title>MaplePrimes - answers and comments on Question, Animated Standard Normal Distribution</title>
      <link>http://www.mapleprimes.com/questions/141728-Animated-Standard-Normal-Distribution</link>
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    <item>
      <title>Two animations</title>
      <link>http://www.mapleprimes.com/questions/141728-Animated-Standard-Normal-Distribution?ref=Feed:MaplePrimes:Animated Standard Normal Distribution:Comments#answer141737</link>
      <itunes:summary>&lt;p&gt;Change in the normal curve &amp;nbsp; &lt;strong&gt;phi(x)=1/(sigma*sqrt(2*Pi))*exp(-(x-a)^2/(2*sigma^2))&lt;/strong&gt; &amp;nbsp;as the parameter &amp;nbsp;&lt;strong&gt;a&lt;/strong&gt; &amp;nbsp;is changing from &amp;nbsp;&lt;strong&gt;-2&lt;/strong&gt; &amp;nbsp;to &amp;nbsp;&lt;strong&gt;3&lt;/strong&gt; &amp;nbsp;(&lt;strong&gt;sigma=1&lt;/strong&gt;) :&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;plots[animate](plot,[1/sqrt(2*Pi)*exp(-(x-a)^2/2),x=-5..6,thickness=2],a=[seq(-2+0.02*k,k=0..250)]);&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;&lt;a href="/view.aspx?sf=141737/450581/Anim1.gif"&gt;&lt;img src="/view.aspx?sf=141737/450581/Anim1.gif" alt=""&gt;&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Change in the normal curve &amp;nbsp;&amp;nbsp;&lt;strong&gt;phi(x)=1/(sigma*sqrt(2*Pi))*exp(-(x-a)^2/(2*sigma^2))&lt;/strong&gt;&amp;nbsp;&amp;nbsp;as the parameter &amp;nbsp;&lt;strong&gt;sigma&lt;/strong&gt;&amp;nbsp;&amp;nbsp;is changing from &amp;nbsp;&lt;strong&gt;0.6&lt;/strong&gt;&amp;nbsp;&amp;nbsp;to &amp;nbsp;&lt;strong&gt;2&lt;/strong&gt;&amp;nbsp;&amp;nbsp;(&lt;strong&gt;a=1&lt;/strong&gt;) :&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;plots[animate](plot,[1/sigma/sqrt(2*Pi)*exp(-(x-2)^2/2/sigma^2),x=-2..6,thickness=3],sigma=[ seq(0.6+k*0.005,k=0..280)]);&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;&lt;a href="/view.aspx?sf=141737/450581/Anim2.gif"&gt;&lt;img src="/view.aspx?sf=141737/450581/Anim2.gif" alt=""&gt;&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;Change in the normal curve &amp;nbsp; &lt;strong&gt;phi(x)=1/(sigma*sqrt(2*Pi))*exp(-(x-a)^2/(2*sigma^2))&lt;/strong&gt; &amp;nbsp;as the parameter &amp;nbsp;&lt;strong&gt;a&lt;/strong&gt; &amp;nbsp;is changing from &amp;nbsp;&lt;strong&gt;-2&lt;/strong&gt; &amp;nbsp;to &amp;nbsp;&lt;strong&gt;3&lt;/strong&gt; &amp;nbsp;(&lt;strong&gt;sigma=1&lt;/strong&gt;) :&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;plots[animate](plot,[1/sqrt(2*Pi)*exp(-(x-a)^2/2),x=-5..6,thickness=2],a=[seq(-2+0.02*k,k=0..250)]);&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;&lt;a href="/view.aspx?sf=141737/450581/Anim1.gif"&gt;&lt;img src="/view.aspx?sf=141737/450581/Anim1.gif" alt=""&gt;&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Change in the normal curve &amp;nbsp;&amp;nbsp;&lt;strong&gt;phi(x)=1/(sigma*sqrt(2*Pi))*exp(-(x-a)^2/(2*sigma^2))&lt;/strong&gt;&amp;nbsp;&amp;nbsp;as the parameter &amp;nbsp;&lt;strong&gt;sigma&lt;/strong&gt;&amp;nbsp;&amp;nbsp;is changing from &amp;nbsp;&lt;strong&gt;0.6&lt;/strong&gt;&amp;nbsp;&amp;nbsp;to &amp;nbsp;&lt;strong&gt;2&lt;/strong&gt;&amp;nbsp;&amp;nbsp;(&lt;strong&gt;a=1&lt;/strong&gt;) :&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;plots[animate](plot,[1/sigma/sqrt(2*Pi)*exp(-(x-2)^2/2/sigma^2),x=-2..6,thickness=3],sigma=[ seq(0.6+k*0.005,k=0..280)]);&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;&lt;a href="/view.aspx?sf=141737/450581/Anim2.gif"&gt;&lt;img src="/view.aspx?sf=141737/450581/Anim2.gif" alt=""&gt;&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;</description>
      <guid>141737</guid>
      <pubDate>Sun, 23 Dec 2012 13:07:58 Z</pubDate>
      <itunes:author>Kitonum</itunes:author>
      <author>Kitonum</author>
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      <title>Another way</title>
      <link>http://www.mapleprimes.com/questions/141728-Animated-Standard-Normal-Distribution?ref=Feed:MaplePrimes:Animated Standard Normal Distribution:Comments#answer141739</link>
      <itunes:summary>&lt;p&gt;In order to satisfy the questioner, one may consider a plot with range x=-infinity..infinity and the use of the Explore command&lt;/p&gt;
&lt;p&gt;Explore(plot(exp(-(1/2)*((x-a)/sigma)^2)/sqrt(2*Pi*sigma^2), x = -infinity .. infinity))&lt;/p&gt;
&lt;p&gt;PS. The sigma range may be 0.001..10. and the range for the parameter a may be put -10. .. 10. . Pay attention to the decimal points in the ranges. It makes a smoother animation.&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;In order to satisfy the questioner, one may consider a plot with range x=-infinity..infinity and the use of the Explore command&lt;/p&gt;
&lt;p&gt;Explore(plot(exp(-(1/2)*((x-a)/sigma)^2)/sqrt(2*Pi*sigma^2), x = -infinity .. infinity))&lt;/p&gt;
&lt;p&gt;PS. The sigma range may be 0.001..10. and the range for the parameter a may be put -10. .. 10. . Pay attention to the decimal points in the ranges. It makes a smoother animation.&lt;/p&gt;</description>
      <guid>141739</guid>
      <pubDate>Sun, 23 Dec 2012 13:27:57 Z</pubDate>
      <itunes:author>Markiyan Hirnyk</itunes:author>
      <author>Markiyan Hirnyk</author>
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      <title>a little more general</title>
      <link>http://www.mapleprimes.com/questions/141728-Animated-Standard-Normal-Distribution?ref=Feed:MaplePrimes:Animated Standard Normal Distribution:Comments#answer141762</link>
      <itunes:summary>&lt;p&gt;Based on Kitonum's code, but using the built-in PDF for the Normal distribution. The advantage is that you can easily adapt the code to another distribution, if you were so inclined, and you don't have to remember the PDF of the distribution, and you avoid possible mis-typing of the distribution.&lt;/p&gt;
&lt;p&gt;Side remark: I did not detect any advantage in terms of speed or memory usage&lt;br&gt;&lt;br&gt;CodeTools:-Usage(# based on Kitonum&lt;br&gt;plots:-animate(plot, [Statistics:-PDF(Statistics:-RandomVariable(Normal(mu,1)),x), x=-5..6,'thickness'=2,'color'=blue], mu=[seq(-2+0.02*k,k=0..250)])&lt;br&gt;);&lt;/p&gt;
&lt;p&gt;For fun, here an animation as the "entropy" H varies between 0 and 1.&lt;/p&gt;
&lt;p&gt;h := 1/2*ln(2*Pi*exp(1)*sigma^2);&lt;br&gt;sig := solve(H=h,sigma,UseAssumptions) assuming sigma&amp;gt;0;&lt;br&gt;pdfN := Statistics:-PDF(Statistics:-RandomVariable(Normal(mu,sigma)),x):&lt;br&gt;pdfNs := unapply( eval(pdfN,sigma=sig), (mu,H) ):&lt;br&gt;plots:-animate( plot, [pdfNs(0,H), x=-5..5,'thickness'=2,'color'=blue], H=[seq(i,i=0..1,0.01)] );&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;Based on Kitonum's code, but using the built-in PDF for the Normal distribution. The advantage is that you can easily adapt the code to another distribution, if you were so inclined, and you don't have to remember the PDF of the distribution, and you avoid possible mis-typing of the distribution.&lt;/p&gt;
&lt;p&gt;Side remark: I did not detect any advantage in terms of speed or memory usage&lt;br&gt;&lt;br&gt;CodeTools:-Usage(# based on Kitonum&lt;br&gt;plots:-animate(plot, [Statistics:-PDF(Statistics:-RandomVariable(Normal(mu,1)),x), x=-5..6,'thickness'=2,'color'=blue], mu=[seq(-2+0.02*k,k=0..250)])&lt;br&gt;);&lt;/p&gt;
&lt;p&gt;For fun, here an animation as the "entropy" H varies between 0 and 1.&lt;/p&gt;
&lt;p&gt;h := 1/2*ln(2*Pi*exp(1)*sigma^2);&lt;br&gt;sig := solve(H=h,sigma,UseAssumptions) assuming sigma&amp;gt;0;&lt;br&gt;pdfN := Statistics:-PDF(Statistics:-RandomVariable(Normal(mu,sigma)),x):&lt;br&gt;pdfNs := unapply( eval(pdfN,sigma=sig), (mu,H) ):&lt;br&gt;plots:-animate( plot, [pdfNs(0,H), x=-5..5,'thickness'=2,'color'=blue], H=[seq(i,i=0..1,0.01)] );&lt;/p&gt;</description>
      <guid>141762</guid>
      <pubDate>Sun, 23 Dec 2012 23:07:44 Z</pubDate>
      <itunes:author>PatrickT</itunes:author>
      <author>PatrickT</author>
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    <item>
      <title>Where's my original animation?</title>
      <link>http://www.mapleprimes.com/questions/141728-Animated-Standard-Normal-Distribution?ref=Feed:MaplePrimes:Animated Standard Normal Distribution:Comments#answer141789</link>
      <itunes:summary>

</itunes:summary>
      <description>

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      <guid>141789</guid>
      <pubDate>Mon, 24 Dec 2012 17:58:41 Z</pubDate>
      <itunes:author>Douglas Lewit</itunes:author>
      <author>Douglas Lewit</author>
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    <item>
      <title>minor edit</title>
      <link>http://www.mapleprimes.com/questions/141728-Animated-Standard-Normal-Distribution?ref=Feed:MaplePrimes:Animated Standard Normal Distribution:Comments#comment141763</link>
      <itunes:summary>&lt;p&gt;you can write seq more simply, like this instead: H=[seq(0..1,0.01)]&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;you can write seq more simply, like this instead: H=[seq(0..1,0.01)]&lt;/p&gt;</description>
      <guid>141763</guid>
      <pubDate>Sun, 23 Dec 2012 23:15:17 Z</pubDate>
      <itunes:author>PatrickT</itunes:author>
      <author>PatrickT</author>
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