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In [[hypothesis testing]] in [[statistics]], two types of ''[[error]]'' are distinguished.
*[[Type I and type II errors|Type I error]]s which consist of rejecting a [[null hypothesis]] that is true; this amounts to a false positive result.
*[[Type I and type II errors|Type II error]]s which consist of failing to reject a null hypothesis that is false; this amounts to a false negative result.
The '''probability of error''' is similarly distinguished.
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