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Type II error
In statistical hypothesis testing, a Type II error consists of failing to reject an invalid null hypothesis (i.e. falsely accepting an invalid hypothesis).
The symbol for the probability of a Type II error is β (beta). The power of a statistical test is defined as 1 - β. A test with high sensitivity will have fewer Type II errors. However, as the likelihood of Type II error decreases, the likelihood of Type I error increases.
See also Type I error.
Last updated: 10-14-2005 16:48:13
03-10-2013 05:06:04
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The contents of this article is licensed from www.wikipedia.org under the GNU Free Documentation License. Click here to see the transparent copy and copyright details