Science Fair Project Encyclopedia
Type I error
In statistical hypothesis testing, a Type I error consists of rejecting a null hypothesis that is true, in other words finding a result to have statistical significance when this has in fact happened by chance. A test with high specificity will have fewer Type I errors. The symbol for the probability of a Type I error is α (alpha) and is sometimes described as the size of the test.
See also Type II error.
10-26-2009 08:16:03
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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