Probability of error: Difference between revisions

Revision as of 22:16, 1 June 2004

Revision as of 08:55, 2 June 2004

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In [[hypothesis testing]] in [[statistics]], two types of ''[[error]]'' are distinguished.

*[[Type I error]]s which consist of rejecting a [[null hypothesis]] that is true; this amounts to a false positive result.

*[[Type II error]]s which consist of failing to rejectingreject a null hypothesis that is false; this amounts to a false negative result.

The '''probability of error''' is similarly distinguished.