If we do NOT reject the null hypothesis, what are we concluding?
A) that there is not enough statistical evidence to infer that the alternative hypothesis is true
B) that there is enough statistical evidence to infer that the alternative hypothesis is true
C) that there is enough statistical evidence to infer that the null hypothesis is true
D) that the test is statistically insignificant at whatever level of significance the test was conducted

Question

Quizplus · Accepted Answer

When we do not reject the null hypothesis, it means there is not enough statistical evidence to support the alternative hypothesis. It does not confirm the null hypothesis as true, but rather indicates a lack of evidence against it.

If We Do NOT Reject the Null Hypothesis, What Are