In principle,we can never accept the null hypothesis as being true via our statistical methods;we can only reject it as being untenable.

Question

Quizplus · Accepted Answer

This is a fundamental concept in statistical inference. The null hypothesis is usually formulated as the hypothesis of no effect or no difference between groups, and we use statistical methods to test whether the observed data is consistent with this hypothesis or not. If the data is highly inconsistent with the null hypothesis, we can reject it and conclude that there is evidence for an effect or a difference. However, we can never be certain that the null hypothesis is true, as there might always be some chance of a type II error or a false negative. Therefore, we can only say that we have failed to reject the null hypothesis or that we have rejected it in favor of an alternative hypothesis.

In Principle,we Can Never Accept the Null Hypothesis as Being