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.

See also Type I error.

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