For a given level of significance ( $\alpha$ ), if the sample size n is increased, the probability of a Type II error ( $\beta$
)
A) will decrease.
B) will increase.
C) will remain the same.
D) cannot be determined.

Question

For a given level of significance ( $\alpha$ ), if the sample size n is increased, the probability of a Type II error ( $\beta$
 )
A) will decrease.
B) will increase.
C) will remain the same.
D) cannot be determined.

Quizplus · Accepted Answer

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

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

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