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

Name: A Type II error is represented by $\beta$;it is the probability of failing to reject a false null hypothesis.
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This statement is correct. A Type II error occurs when a false null hypothesis is not rejected. This means that the alternative hypothesis is actually true, but the test fails to detect it. The probability of this error is represented by beta (β).

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

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