<?xml version="1.0" encoding='utf-8'?>
<!DOCTYPE wml PUBLIC "-//WAPFORUM//DTD WML 1.1//EN" "http://www.wapforum.org/DTD/wml_1.1.xml">
<wml>
<card id="card1" title="Statistical inference - Page 15 - Wikipedia">
<p>
<a accesskey="1" href="page.php?w=Statistical_inference&amp;p=14">1.Previous</a><br />
<a accesskey="3" href="page.php?w=Statistical_inference&amp;p=16">3.Next</a>
</p>
<p>close a limiting distribution approaches the statistic's <a href="page.php?w=sample_distribution">sample distribution</a>: For example, with 10,000 independent samples the <a href="page.php?w=normal_distribution">normal distribution</a> approximates (to two digits of accuracy) the distribution of the <a href="page.php?w=sample_mean">sample mean</a> for many population distributions, by the <a href="page.php?w=Berry-Esseen_theorem">Berry-Esseen theorem</a>. Yet for many practical purposes, the normal approximation provides a good approximation</p><p>
<a accesskey="1" href="page.php?w=Statistical_inference&amp;p=14">1.Previous</a><br />
<a accesskey="3" href="page.php?w=Statistical_inference&amp;p=16">3.Next</a>
</p>

<do type="prev" label="Search">
        <go href="search.wml"/>
</do>

</card>
</wml>
