In: Statistics and Probability
A company attempts to evaluate the potential for a new bonus
plan by selecting a sample of 4 salespersons to use the bonus plan
for a trial period. The weekly sales volume before and after
implementing the bonus plan is shown below. (For the following
matched samples, let the difference "d" be d =
after - before.)
Weekly Sales |
||
Salesperson |
Before |
After |
1 |
48 |
44 |
2 |
48 |
40 |
3 |
38 |
36 |
4 |
44 |
50 |
a. | State the hypotheses. |
b. | Compute the test statistic. |
c. | Use Alpha = .05 and test to see if the bonus plan will result in an increase in the mean weekly sales. |
Number | After | Before | Difference | |
44 | 48 | -4 | 4 | |
40 | 48 | -8 | 36 | |
36 | 38 | -2 | 0 | |
50 | 44 | 6 | 64 | |
Total | 170 | 178 | -8 | 104 |
To Test :-
H0 :-
H1 :-
Test Statistic :-
t = -0.6794
Test Criteria :-
Reject null hypothesis if
Result :- Fail to reject null hypothesis
Decision based on P value
P - value = P ( t > 0.6794 ) = 0.7272
Reject null hypothesis if P value <
level of significance
P - value = 0.7272 > 0.05 ,hence we fail to reject null
hypothesis
Conclusion :- Fail to reject null hypothesis
There is insufficient evidence to support the claim that the bonus plan will result in an increase in the mean weekly sales.