In an experiment, Alpha
A) Means that there is no danger of a Type II error
B) Means that Type I errors have been eliminated
C) Means that the alternative hypothesis is true
D) Is the probability of making a Type I error

Question

Quizplus · Accepted Answer

Alpha (α) represents the probability of making a Type I error, which refers to rejecting a true null hypothesis. A Type II error, on the other hand, is the failure to reject a false null hypothesis and is represented by beta (β). The alternative hypothesis being true is represented by power (1-β). Therefore, option C is incorrect. Option A and B are also incorrect as Alpha does not guarantee the elimination of Type I or Type II errors, but rather helps to control the risk of making a Type I error.

In an Experiment, Alpha