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Explain “Type II Error” (β) in hypothesis testing.

Explain “Type II Error” (β) in hypothesis testing.

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A type II error refers to non-rejection of false null hypothesis i.e, does not reject null hypothesis, even though alternative hypothesis is true state of nature. Or we accept the null hypothesis even when it is false i.e., this error produces a false positive and false finding is accepted true. This error rejects alternative hypothesis, even when it does not occur out of chance. This confirms idea which should be rejected, claiming two observances are same, even when they are different.

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