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

Quizplus · Accepted Answer

Increasing the sample size generally leads to a more precise estimate of the population parameter, which in turn reduces the probability of a Type II error (failing to reject a false null hypothesis).

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