A new manager,hired at a large warehouse,was told to reduce the 26% employee sick leave.The manager introduced a new incentive program for employees with perfect attendance.The manager decides to test the new program to see if it's better and receives a P-value of 0.06.What is reasonable to conclude about the new strategy using α = 0.05?
A)We can say there is a 6% chance of seeing the new program having an effect the employee attendance percentage in the results we observed from natural sampling variation.We conclude the new program is more effective.
B)If the sick leave percentage has not changed,then there is only a 6% chance of seeing the decrease in the sick leave percentage we observed (or lower)from natural sampling variation.At α = 0.05,we reject the null hypothesis that the sick leave percentage has not changed and conclude that the new incentive program is effective.
C)There is a 6% chance of the new incentive program having no effect the employee attendance percentage.
D)If the sick leave percentage has not changed,then there is only a 6% chance of seeing the decrease in the sick leave percentage we observed (or lower)from natural sampling variation.At α = 0.05,we fail to reject the null hypothesis that the sick leave percentage has not changed.There is insufficient evidence to conclude that the new incentive program is effective.
E)There is a 94% chance of the new incentive program having no effect on the employee attendance percentage.

Question

Quizplus · Accepted Answer

The P-value of 0.06 is greater than the significance level α = 0.05, which means we do not have enough evidence to reject the null hypothesis. Therefore, there is insufficient evidence to conclude that the new incentive program is effective.

A New Manager,hired at a Large Warehouse,was Told to Reduce