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Normal Distribution
almalo
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1
6-19-2008 7:41 AM
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tags:
statistics
almalo
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Definición de la distribución de tipo normal (en inglés)
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<div style="margin: 12px 0px; font-family: arial; color: #333333; background: #ffffff; border: solid 4px #e5e5e5; width: 100%; clear: left;"><div class="CM_CTB_Content_Wrap" style="margin: 0px; padding: 0px;background-color: #ffffff;"><div style="border-bottom: solid 1px #dcdcdc; white-space: nowrap; margin-bottom: 8px; background-color: #eeeeee ;background-image: url(http://www.clipmarks.com/images/source-bg.gif); background-repeat: repeat-x; height: 24px; line-height: 24px; vertical-align: middle; padding-bottom: 4px; color: #666666; font-size: 10px;" ><a href="http://clipmarks.com/clip-to-blog/" title="see clips that are hot right now"><img src="http://content.clipmarks.com/blog_embed/48640341-76ef-41c7-b869-da5a7619b32c/CDC2A25B-8FB2-4163-B60D-492B387F6BCD/" alt="" width="19" height="19" border="0" style="vertical-align: middle; margin: 0px 4px; display: inline; border: none; float:none;" /></a>clipped from <a title="http://en.wikipedia.org/w/index.php?title=Normal_distribution&oldid=219709975" href="http://en.wikipedia.org/w/index.php?title=Normal_distribution&oldid=219709975" style="font-size: 11px;">en.wikipedia.org</a></div><blockquote style="text-align: left; padding: 0px 8px; margin: 4px 0px 8px 0px; background: transparent; border: none;" cite="http://en.wikipedia.org/w/index.php?title=Normal_distribution&oldid=219709975"><P>The <B>normal distribution</B>, also called the <B>Gaussian distribution</B>, is an important family of <A title="Continuous probability distribution" href="http://en.wikipedia.org/wiki/Continuous_probability_distribution">continuous probability distributions</A>, applicable in many fields. Each member of the family may be defined by two parameters, <I>location</I> and <I>scale</I>: the <A title="Mean" href="http://en.wikipedia.org/wiki/Mean">mean</A> ("average", <I>μ</I>) and <A title="Variance" href="http://en.wikipedia.org/wiki/Variance">variance</A> (<A title="Standard deviation" href="http://en.wikipedia.org/wiki/Standard_deviation">standard deviation</A> squared) <I>σ</I><SUP>2</SUP>, respectively. The <B>standard normal distribution</B> is the normal distribution with a <A title="Mean" href="http://en.wikipedia.org/wiki/Mean">mean</A> of zero and a <A title="Variance" href="http://en.wikipedia.org/wiki/Variance">variance</A> of one (the red curves in the plots to the right). <A title="Carl Friedrich Gauss" href="http://en.wikipedia.org/wiki/Carl_Friedrich_Gauss">Carl Friedrich Gauss</A> became associated with this set of distributions when he analyzed astronomical data using them,<SUP class="reference" id="cite_ref-0"><A title="" href="#cite_note-0">[1]</A></SUP> and defined the equation of its probability density function. It is often called the <B>bell curve</B> because the graph of its <A title="Probability density function" href="http://en.wikipedia.org/wiki/Probability_density_function">probability density</A> resembles a <A title="Bell (instrument)" href="http://en.wikipedia.org/wiki/Bell_%28instrument%29">bell</A>.</P></blockquote></div><div style="margin: 0px 6px 6px 4px;"><table style="font-size: 11px;border-spacing: 0px;padding: 0px;" cellpadding="0" cellspacing="0" width="100%"><tr><td style="background:transparent;border-width:0px;padding:0px;"> </td><td align="right" style="background:transparent;border-width:0px;padding:0px;width:107px" width="107"><a href="http://clipmarks.com/share/CDC2A25B-8FB2-4163-B60D-492B387F6BCD/blog/" title="blog or email this clip"><img src="http://content7.clipmarks.com/images/c2b-foot.png" border="0" alt="blog it" width="107" height="17" style="border-width:0px;padding:0px;margin:0px;" /></a></td></tr></table></div></div>
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