Scribd
Upload
40 views2 pages

Exercise 20

The document describes steps to test the hypothesis that mean responses for Value for the Dollar and Customer Service do not differ by gender using a t-test. Descriptive statistics show means and standard deviations for males and females. Tests of variance assumption find no significant difference. T-tests find no significant difference in means between males and females for Customer Service (p=0.119) or Value for the Dollar (p=0.853), so the null hypothesis that means do not differ by gender fails to be rejected.

Uploaded by

Triet Le
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
40 views2 pages

Exercise 20

The document describes steps to test the hypothesis that mean responses for Value for the Dollar and Customer Service do not differ by gender using a t-test. Descriptive statistics show means and standard deviations for males and females. Tests of variance assumption find no significant difference. T-tests find no significant difference in means between males and females for Customer Service (p=0.119) or Value for the Dollar (p=0.853), so the null hypothesis that means do not differ by gender fails to be rejected.

Uploaded by

Triet Le
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
You are on page 1/ 2

Exercise 20: Page 255: In the Excel file Cell Phone Survey, test the hypothesis that the

mean responses
for Value for the Dollar and Customer Service do not differ by gender

Step 1: Establish hypothesis

H0: the mean Value for the Dollar and Customer Service of male = the mean of Value for the Dollar and
Customer Service of female or H0: x̅ Value for the Dollar and Customer Service of male = x̅ Value for the
Dollar and Customer Service of female.

H1: the mean Value for the Dollar and Customer Service of male # the mean of Value for the Dollar and
Customer Service of female or H0: x̅ Value for the Dollar and Customer Service of male #: x̅ Value for the
Dollar and Customer Service of female.

Step 2: Methodology: Independent Samples t-test

Step 3: Desciptive Statistics Report

Group Statistics
Gender N Mean Std. Deviation Std. Error Mean
Customer Service Male 34 3.38 .985 .169
Female 18 2.94 .873 .206
Value for the Dollar Male 34 3.44 .960 .165
Female 18 3.39 .979 .231

Step 4: Assumption on Homogenity of Variances

Customer Service: F Levene’s test = 2.688; P-value of Levene’s test > 0.05 (0.107)

 The p-value for the Levene test is more than 0.05, then the variances are not significantly
different from each other (euqal variance assumped)

Value for the Dollar: F Levene’s test = 0.020; P-value of Levene’s test > 0.05 (0.889)
 The p-value for the Levene test is more than 0.05, then the variances are not significantly
different from each other (euqal variance assumped)

Step 5: Conclusion

Customer Service:
 T = 1.584
 P > 0.05 (0.119)
 The mean difference is 0.438
 The conclusion is to fail to reject the null hypothesis, not enough evidence to support the
alternative hypothesis.
 There is NOT a significant different between the mean Customer Service of male and the mean
of Customer Service of female. The mean Customer Service of male is larger than the mean
Customer Service of female at 0.438.

Value for the Dollar:

 T = 0.186
 P > 0.05 (0.853) => no statistical meaning
 The mean difference is 0.052
 The conclusion is to fail to reject the null hypothesis, not enough evidence to support the
alternative hypothesis.
 There is NOT a significant different between the mean Value for the Dollar of male and the
mean of Value for the Dollar of female. The mean Value for the Dollar of male is larger than the
mean Value for the Dollar of female at 0.052.

 It can be inffered that gender is not a factor that causes differences in the Customer Service and
Value for the Dollar variables.

You might also like