Which of the following is true when a Type I error has been committed?
A)The null hypothesis has to have been true.
B)The data must have convinced us that the alternative hypothesis was true.
C)The probability of making a Type I error is equal to the stated level of significance, usually .05.
D)All of the above.

Question

Quizplus · Accepted Answer

A Type I error occurs when the null hypothesis is true but is incorrectly rejected in favor of the alternative hypothesis. This means that the data appeared to provide enough evidence to support the alternative hypothesis when, in fact, it should not have. The probability of making a Type I error is denoted by alpha (α), which is the level of significance set for the test, often .05. This means all the statements A, B, and C are correct descriptions of a Type I error situation.

Which of the Following Is True When a Type I