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type II error |
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type II error, in a test of a statistical hypothesis, the probability of accepting the null hypothesis when it is false and should be rejected. Also called beta error, error of the second kind. type II error β error, false-negative error Statistics Acceptance of the null hypothesis when it is false or incorrect, or the error of falsely stating that two proportions are not significantly different when they actually are. See Null
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