The significance level in hypothesis testing refers to the:
Click on the arrows to vote for the correct answer
A. B. C. D. E.D
Type I error refers to the event that we will reject the null when, in fact, it is true. The probability of this error is called the "significance level" of the test used to evaluate the hypothesis. Clearly, lower significance levels are better, all else equal.