type I error


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type I error

[‚tīp ′wən ‚er·ər]
(statistics)
One of two types of errors in testing hypotheses: incorrectly rejecting the hypothesis tested when it is true. Also known as error of the first kind.
References in periodicals archive ?
The analysis showed that if the auditor concluded there was a misstatement (type I error) but the client knew or believed that there was none, then the client would encourage the auditor to do more work so that it was possible to render an unqualified opinion.
A consequence of this inability to detect concurvity is that using the S-Plus standard error estimate to test the significance of a fitted linear parameter can result in inflated type I error.
A precautionary approach for public health appears to be opposite to the conventional scientific bias in hypothesis testing that critics have claimed favors type II over type I errors (Cranor 1993; M'Gonigle et al.