We never conclude "Accept H₀ " in a test of hypothesis. This is because: A) $\beta$=p (Type II error) is not known. B) $\alpha$ is the probability of a Type I error. C) The rejection region is not known. D) The p-value is not small enough.

Question

Quizplus · Accepted Answer

In hypothesis testing, we never "accept" the null hypothesis (H0) because failing to reject H0 does not prove it true. The probability of a Type II error ($\beta$) is not known, which means we cannot determine the likelihood of incorrectly accepting H0.

We Never Conclude "Accept H0 " in a Test β\betaβ

We Never Conclude "Accept H₀ " in a Test $\beta$