A type II error is an arithmetic term used within the context of hypothesis testing that illustrates the error which occurs when one accepts a null hypothesis that is actually false. The null hypothesis, is not rejected when it is false. Type II errors arise frequently when the sample sizes are too small. The Type II error is also called as errors of the second kind.
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