At 5%,
A) we fail to reject the null hypothesis. They should not adjust the machine because there is no evidence to suggest that it is not functioning properly.
B) we reject the null hypothesis. The P-value is very low.
C) we support the alternative hypothesis because we know the machine is working properly.
D) we support the alternative hypothesis because we know the machine needs adjustment.
E) we reject the null hypothesis. The company should adjust the machine because there is strong evidence to show it is not functioning properly.

Question

Quizplus · Accepted Answer

At a significance level of 5%, if we fail to reject the null hypothesis, it means that there is not enough evidence to conclude that the machine is not functioning properly. Therefore, the company should not adjust the machine because there is no indication that it needs adjustment.