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		<title>en&gt;Rwbest: /* History */</title>
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		<summary type="html">&lt;p&gt;&lt;span class=&quot;autocomment&quot;&gt;History&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;In [[probability theory]], &amp;#039;&amp;#039;&amp;#039;Gauss&amp;#039;s inequality&amp;#039;&amp;#039;&amp;#039; (or the &amp;#039;&amp;#039;&amp;#039;Gauss inequality&amp;#039;&amp;#039;&amp;#039;) gives an upper bound on the probability that a [[unimodal]] [[random variable]] lies more than any given distance from its [[mode (statistics)|mode]].&lt;br /&gt;
&lt;br /&gt;
Let &amp;#039;&amp;#039;X&amp;#039;&amp;#039; be a unimodal random variable with mode &amp;#039;&amp;#039;m&amp;#039;&amp;#039;, and let &amp;#039;&amp;#039;&amp;amp;tau;&amp;#039;&amp;#039;&amp;lt;sup&amp;gt;&amp;amp;nbsp;2&amp;lt;/sup&amp;gt; be the [[expected value]] of (&amp;#039;&amp;#039;X&amp;#039;&amp;#039;&amp;amp;nbsp;&amp;amp;minus;&amp;amp;nbsp;&amp;#039;&amp;#039;m&amp;#039;&amp;#039;)&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;. (&amp;#039;&amp;#039;&amp;amp;tau;&amp;#039;&amp;#039;&amp;lt;sup&amp;gt;&amp;amp;nbsp;2&amp;lt;/sup&amp;gt; can also be expressed as (&amp;#039;&amp;#039;&amp;amp;mu;&amp;#039;&amp;#039;&amp;amp;nbsp;&amp;amp;minus;&amp;amp;nbsp;&amp;#039;&amp;#039;m&amp;#039;&amp;#039;)&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;&amp;amp;nbsp;+&amp;amp;nbsp;&amp;#039;&amp;#039;&amp;amp;sigma;&amp;#039;&amp;#039;&amp;lt;sup&amp;gt;&amp;amp;nbsp;2&amp;lt;/sup&amp;gt;, where &amp;#039;&amp;#039;&amp;amp;mu;&amp;#039;&amp;#039; and &amp;#039;&amp;#039;&amp;amp;sigma;&amp;#039;&amp;#039; are the mean and [[standard deviation]] of &amp;#039;&amp;#039;X&amp;#039;&amp;#039;.)  Then for any positive value of &amp;#039;&amp;#039;k&amp;#039;&amp;#039;,&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
\Pr(\mid X - m \mid &amp;gt; k) \leq \begin{cases}&lt;br /&gt;
\left( \frac{2\tau}{3k} \right)^2 &amp;amp; \text{if } k \geq \frac{2\tau}{\sqrt{3}} \\[6pt]&lt;br /&gt;
1 - \frac{k}{\tau\sqrt{3}}        &amp;amp; \text{if } 0 \leq k \leq \frac{2\tau}{\sqrt{3}}.&lt;br /&gt;
\end{cases}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The theorem was first proved by [[Carl Friedrich Gauss]] in 1823.&lt;br /&gt;
&lt;br /&gt;
==See also==&lt;br /&gt;
*[[Vysochanskiï–Petunin inequality]], a similar result for the distance from the mean rather than the mode &lt;br /&gt;
*[[Chebyshev&amp;#039;s inequality]], concerns distance from the mean without requiring unimodality&lt;br /&gt;
&lt;br /&gt;
==References==&lt;br /&gt;
*{{cite journal|last=Gauss|first=C. F.|authorlink=Carl Friedrich Gauss|date=1823|title=Theoria Combinationis Observationum Erroribus Minimis Obnoxiae, Pars Prior|journal=Commentationes Societatis Regiae Scientiarum Gottingensis Recentiores|volume=5}}&lt;br /&gt;
*{{cite book|title=A Dictionary of Statistics| publisher=Oxford University Press| last= Upton | first = Graham | coauthors = Cook, Ian| year=2008|chapter=Gauss inequality| url=http://www.answers.com/topic/gauss-inequality}}&lt;br /&gt;
*{{Cite journal&lt;br /&gt;
 | doi = 10.2307/2684690&lt;br /&gt;
 | title = Chebyshev inequalities for unimodal distributions&lt;br /&gt;
 | year = 1997&lt;br /&gt;
 | journal = [[American Statistician]]&lt;br /&gt;
 | volume = 51&lt;br /&gt;
 | issue = 1&lt;br /&gt;
 | pages = 34–40&lt;br /&gt;
 | last1 = Sellke	 | first1 =  T.M.&lt;br /&gt;
 | last2 =  Sellke	 | first2 =  S.H.&lt;br /&gt;
 | publisher = American Statistical Association&lt;br /&gt;
 | jstor = 2684690&lt;br /&gt;
}}&lt;br /&gt;
*{{Cite journal&lt;br /&gt;
 | doi = 10.2307/2684253&lt;br /&gt;
 | title = The Three Sigma Rule&lt;br /&gt;
 | year = 1994&lt;br /&gt;
 | author = Pukelsheim, F.&lt;br /&gt;
 | journal = American Statistician&lt;br /&gt;
 | volume = 48&lt;br /&gt;
 | issue = 2&lt;br /&gt;
 | pages = 88–91&lt;br /&gt;
 | publisher = American Statistical Association&lt;br /&gt;
 | jstor = 2684253&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
[[Category:Probabilistic inequalities]]&lt;/div&gt;</summary>
		<author><name>en&gt;Rwbest</name></author>
	</entry>
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