A manager in a rapidly growing industry wishes to study the effects of motivation on sales in particular firm. Traditionally, all sales staff has been salaried. Senior management has been most reluctant to change the existing system. Within his own branch, however, the manager wishes to gather evidence on whether or not to pay commissions to salespersons. Of 24 new salespersons, 12 are paid an hourly rate and 12 are paid a commission. The 24 individuals are randomly assigned to the two groups. The following data represent the sales volume (in thousands of dollars) achieved during the first month on the job.
Hourly |
Commission |
256 |
224 |
239 |
254 |
222 |
273 |
207 |
285 |
228 |
237 |
241 |
277 |
212 |
261 |
216 |
228 |
236 |
234 |
219 |
225 |
225 |
232 |
230 |
245 |
H1:
p-value:
(2)
(3)
(4)
What assumptions must be made in part (a) of this problem?
using excel>data>data analysis>two sample t
we have
t-Test: Two-Sample Assuming Equal Variances | ||
Hourly | Commission | |
Mean | 227.5833 | 247.9167 |
Variance | 191.5379 | 466.0833 |
Observations | 12 | 12 |
Pooled Variance | 328.8106 | |
Hypothesized Mean Difference | 0 | |
df | 22 | |
t Stat | -2.7467 | |
P(T<=t) one-tail | 0.005887 | |
t Critical one-tail | 1.717144 | |
P(T<=t) two-tail | 0.011774 | |
t Critical two-tail | 2.073873 |
H1:
p-value:0.0118
(2) No there is no evidence that commission and hourly rate sales differ
assumptions : samples are taken randomly, variances are equal and both the samples are normally distributed
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