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. |
a)
b)
we use Excel
data -> data analysis -> t-test : paired two sample for means
t-Test: Paired Two Sample for Means | ||
Before | After | |
Mean | 44.5 | 42.5 |
Variance | 22.33333333 | 35.66666667 |
Observations | 4 | 4 |
Pearson Correlation | 0.413369809 | |
Hypothesized Mean Difference | 0 | |
df | 3 | |
t Stat | 0.67936622 | |
P(T<=t) one-tail | 0.272813701 | |
t Critical one-tail | 2.353363435 | |
P(T<=t) two-tail | 0.545627401 | |
t Critical two-tail | 3.182446305 |
TS = -0.6794
c)
we fail to reject the null hypothesis
as TS < critical value 2.3533
P-Value = 0.727 > alpha
there is not sufficient evidence that bonus plan will result in an increase in the mean weekly sales.
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