Decision makers have more control over Type I error than Type II error.

Question

Quizplus · Accepted Answer

Type I error is controlled by setting a lower significance level or alpha (the probability of rejecting the null hypothesis when it is true), while Type II error is controlled by increasing the sample size or setting a higher significance level (resulting in a lower beta, the probability of accepting the null hypothesis when it is false). Decision makers have more control over the significance level (alpha) than over the sample size, making it easier to control Type I error.

Decision Makers Have More Control Over Type I Error Than