For a given level of significance $\alpha$,if the sample size n is increased,the probability of a Type II error $\beta$ will:
A) decrease.
B) increase.
C) remain the same.
D) Not enough information to tell.

Question

Quizplus · Accepted Answer

Increasing the sample size generally increases the power of a test, which decreases the probability of a Type II error (β).

For a Given Level of Significance α\alphaα ,If the Sample Size N Is Increased,the Probability of a Size

For a Given Level of Significance $\alpha$ ,If the Sample Size N Is Increased,the Probability of a Size