The following table shows the monthly sales (in units) of six salespersons before and after a bonus plan was introduced. Using α = .05, determine whether the bonus plan has increased sales significantly. Assume the population of differences is normally distributed. (For the following matched samples, let the difference d = After - Before.)
Monthly Sales |
||
Salesperson |
After |
Before |
1 |
94 |
90 |
2 |
82 |
84 |
3 |
90 |
84 |
4 |
76 |
70 |
5 |
79 |
80 |
6 |
85 |
80 |
Complete the following table (round numbers to two decimal places):
After |
Before |
|
Mean |
||
Variance |
||
t-Stat (test statistic) |
||
p-value (one tail) |
||
t critical value (one tail) |
Using a .10 level of significance, test to see if the bonus plan was effective. That is, did the bonus plan actually increase sales? What do you conclude?
from above
mean =3
variance=12.800
t stat =2.0540
p value =0.0476
t critical =2.0150 (at 0.05 level)
t critical =1.476 (at 0.10 level)
since test statistic falls in rejection region we reject null hypothesis | |
we have sufficient evidence to conclude that bonus plan actually increase sales |
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