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	<title>User:IssaRice/Chi-squared distribution - Revision history</title>
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	<updated>2026-10-17T22:24:12Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://machinelearning.subwiki.org/w/index.php?title=User:IssaRice/Chi-squared_distribution&amp;diff=2828&amp;oldid=prev</id>
		<title>IssaRice: Created page with &quot;start at &quot;Consider a binomial random variable Y&quot; on http://www.stat.yale.edu/Courses/1997-98/101/chigf.htm -- I really like the derivation for the binomial case. you can clear...&quot;</title>
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		<updated>2020-02-05T18:46:52Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;start at &amp;quot;Consider a binomial random variable Y&amp;quot; on http://www.stat.yale.edu/Courses/1997-98/101/chigf.htm -- I really like the derivation for the binomial case. you can clear...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;start at &amp;quot;Consider a binomial random variable Y&amp;quot; on http://www.stat.yale.edu/Courses/1997-98/101/chigf.htm -- I really like the derivation for the binomial case. you can clearly see how dividing by the variance and then doing some manipulations does two things: (1) you get &amp;#039;&amp;#039;two&amp;#039;&amp;#039; terms at the end, even though you started with one, which shows that even though there are k terms, the degrees of freedom are k-1; (2) the denominators change to the expected counts, and the variance disappears.&lt;/div&gt;</summary>
		<author><name>IssaRice</name></author>
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