A Type I error is not possible when a sample comes from a population with a mean A) equal to the null hypothesis mean B) different from to the null hypothesis mean C) both of the descriptive alternatives are correct

Question

Quizplus · Accepted Answer

A Type I error occurs when the null hypothesis is incorrectly rejected when it is true. If the sample comes from a population with a mean different from the null hypothesis mean, it suggests that the null hypothesis is false, thus a Type I error (rejecting a true null hypothesis) is not possible in this scenario.

A Type I Error Is not Possible When a Sample