A result that is not "statistically significant" means that
A) the null hypothesis is definitely false and should be rejected.
B) the null hypothesis is definitely true and should be accepted.
C) we should conclude that the independent variable had no effect whatsoever.
D) without more information, we should be cautious about concluding that the independent variable did not have an effect.

Question

Quizplus · Accepted Answer

A result that is not statistically significant only means that there is not enough evidence to reject the null hypothesis. It does not definitively prove that the null hypothesis is true, and it does not rule out the possibility that the independent variable had an effect. Therefore, without more information, it is best to be cautious about concluding that the independent variable did not have an effect.

A Result That Is Not "Statistically Significant" Means That