The smaller the level of significance
A) the less the probability of a Type I error
B) the less the probability of a Type II error
C) the greater the probability of a Type I error
D) the less confident we may be in whatever statistical conclusion is reached

Question

Quizplus · Accepted Answer

A smaller level of significance means a stricter criterion for rejecting the null hypothesis, thus reducing the probability of making a Type I error, which is the error of rejecting a true null hypothesis.

The Smaller the Level of Significance