A Type II error is represented by $\beta$ and is the probability of failing to reject a false null hypothesis.

Name: A Type II error is represented by $\beta$ and is the probability of failing to reject a false null hypothesis.
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A Type II error, denoted by $\beta$, occurs when a statistical test fails to reject a null hypothesis that is actually false, meaning the test incorrectly concludes there is not enough evidence to support an alternative hypothesis when there is.

A Type II Error Is Represented By β\betaβ And Is the Probability of Failing to Reject a False

A Type II Error Is Represented By $\beta$ And Is the Probability of Failing to Reject a False