The significance level of a statistical inference measures:
A)the proportion of times a conclusion about a population will be correct in the long run.
B)the proportion of times a conclusion about a population will be wrong in the long run.
C)the proportion of times an estimation procedure will be correct in the long run.
D)the proportion of times an estimation procedure will be wrong in the long run.

Question

Quizplus · Accepted Answer

The significance level of a statistical inference, often denoted as alpha, represents the probability of rejecting the null hypothesis when it is actually true. This means that the probability of making a type I error (concluding that there is a significant difference or effect when there really isn't) is equal to the significance level. Therefore, the significance level measures the proportion of times a conclusion about a population will be wrong in the long run.

The Significance Level of a Statistical Inference Measures