We never conclude "Accept $\mathrm { H } _ { 0 }$ " in a test of hypothesis. This is because:
A) We want $H _ { 0 }$ to be false.
B) $H _ { 0 }$ is never true.
C) $\alpha = p$ (Type I error) is not known.
D) $\beta = p$ (Type II error) is not known.

Question

Quizplus · Accepted Answer

In hypothesis testing, we never accept $H_0$ because failing to reject $H_0$ does not prove it true; it only suggests insufficient evidence against it. The Type II error probability ($\beta$) is not known, which means we cannot determine the likelihood of incorrectly accepting $H_0$.

We Never Conclude "Accept H0\mathrm { H } _ { 0 }H0​

We Never Conclude "Accept $\mathrm { H } _ { 0 }$