There is always a possibility that the decision reached in a hypothesis test is incorrect.

Question

Quizplus · Accepted Answer

This is because hypothesis testing involves setting a threshold (usually 5%) for the probability of making a Type I error (rejecting a true null hypothesis) and a probability of making a Type II error (failing to reject a false null hypothesis). If the probability of making a Type I error is 5%, then there is still a 5% chance that the decision reached in the hypothesis test is incorrect.

There Is Always a Possibility That the Decision Reached in a Hypothesis