Question

A manager in a rapidly growing industry wishes to study the effects of motivation on sales...

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

  1. Is there evidence that commission and hourly rate sales differ? Use Excel, a = .01, and the p-value approach to answer this question. Attach your Excel analysis to your assignment answers.                                                                  
  1. Hyps: H0:

H1:

  1. Test(s):
  1. Analysis:

p-value:

  1. Conclusions: (1)

(2)

(3)

(4)

What assumptions must be made in part (a) of this problem?

Homework Answers

Answer #1

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
  1. Hyps: H0:

H1:

  1. Test(s): here we will use t test for two independent samples
  1. Analysis: t test =-2.7467

p-value:0.0118

  1. Conclusions: (1) since p-value is greater than 0.01 so we do not reject the null hypothesis

(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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