Type II error

noun

the error made in the statistical testing of a hypothesis by accepting the null hypothesis when it is actually false.

type II error

statistics the error of not rejecting the null hypothesis when it is false. The probability of avoiding such an error is the power of the test and is a function of the alternative hypothesis

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All government programs face a tradeoff between Type I and Type II error--between false positives and false negatives.

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