When using a significance level of 0.05, how often will you reject hypotheses that are actually correct?
A) 5% of the time or less
B) 5% of the time or more
C) 50% of the time or less
D) 50% of the time or more
E) 95% of the time or more

Question

Quizplus · Accepted Answer

A significance level of 0.05 means that we will reject a hypothesis that is actually true only 5% of the time or less. This is because the significance level represents the maximum probability of a Type I error, which is the probability of rejecting a true null hypothesis. Therefore, the correct answer is A, 5% of the time or less.

When Using a Significance Level of 0