Statistics Dictionary

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A Type II error occurs when the researcher accepts a null hypothesis that is false. The probability of committing a Type II error is called Beta, and is often denoted by β.

The power of a test is equal to 1 minus Beta. It indicates the probability of not making a Type II error.

See also:   Statistics Tutorial: Hypothesis Tests | Power of a Hypothesis Test | How to Compute Power