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

Question

Quizplus · Accepted Answer

In hypothesis testing, we never conclude to "Accept $H_0$" because the probability of making a Type II error ($\beta$) is not known. Instead, we either reject $H_0$ or fail to reject $H_0$, acknowledging that our decision is based on a pre-set significance level ($\alpha$) and without full knowledge of the likelihood of Type II errors.

We Never Conclude "Accept H0H _ { 0 }H0​ " in a Test of Hypothesis

We Never Conclude "Accept $H _ { 0 }$ " in a Test of Hypothesis