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

Question

Quizplus · Accepted Answer

The significance level of a statistical inference measures the proportion of times a conclusion about a population will be wrong. This is also known as the level of error in the inference. It is typically denoted by alpha (α) and is set prior to conducting the hypothesis test. A lower significance level means lower chances of making an error in rejecting or accepting the null hypothesis.

The Significance Level of a Statistical Inference Measures