Explain Type I and Type II Errors
-We never conclude "Accept $\mathrm { H } _ { 0 }$ " in a test of hypothesis. This is because:
A) $\beta = \mathrm { p }$ (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 ($H_0$) because we do not know the probability of a Type II error ($\beta$), which is the probability of failing to reject a false null hypothesis. Instead, we either reject $H_0$ or fail to reject $H_0$.

Explain Type I and Type II Errors -We Never Conclude H0\mathrm { H } _ { 0 }H0​

Explain Type I and Type II Errors
-We Never Conclude $\mathrm { H } _ { 0 }$