What is the relationship between the alpha level, the size of the critical region, and the risk of a Type I error?​Group of answer choices​As the alpha level increases, the size of the critical region decreases and the risk of a Type I error increases.​As the alpha level increases, the size of the critical region decreases and the risk of a Type I error decreases.​As the alpha level increases, the size of the critical region increases and the risk of a Type I error increases.​As the alpha level increases, the size of the critical region increases and the risk of a Type I error decreases.

Decreasing the alpha level from α = .05 to α = .01 ____.​Group of answer choices​decreases the probability of a Type I error​increases the probability that the sample will fall into the critical region​increases the size of the critical region​increases the probability of a Type I error

A researcher wants to avoid making a type I error. Which of the following actions would be the most effective in reducing the risk of a type I error? Choose an alpha level of 0.01. Choose an alpha level of 0.05. Increase the sample size.

Which of the following accurately describes the effect of increasing the sample size?​Group of answer choices​Increases the standard error and has no effect on the risk of a Type I error​Increases the risk of a Type I error and has no effect on the standard error​Decreases the risk of a Type I error and has no effect on the standard error​Decreases the standard error and has no effect on the risk of a Type I erro

When is there a risk of a Type II error?​Group of answer choices​Whenever H0 is rejected​Whenever H1 is rejected​The risk of a Type II error is independent of the decision from a hypothesis test.​Whenever the decision is "fail to reject H0"

In testing of hypothesis corresponding to a particular level of significance among all critical regions, ‘best critical region’ has ans. greatest type II error least type I error greatest type I error least type II error