The following three independent random samples are obtained from three normally distributed populations with equal variance. The dependent variable is starting hourly wage, and the groups are the types of position (internship, co-op, work study). Group 1: Internship Group 2: Co-op Group 3: Work Study 12.5 13 9.5 11.25 11 11 10.75 10.25 10.5 12.75 9.5 8.75 13 10 11.75 12.25 12.25 11.5 12.5 10.5 13.75 12.25 9.75 13.5 9.25 13.75 10.75 10.25 13 12.25 11.5 12.25 This data can be downloaded in serial format using this link: Download CSV Use your statistical software package to conduct a one-factor ANOVA to determine if the group means are equal using a = 0.05. Though not specifically assessed here, you are encouraged to also test the assumptions, plot the group means, and interpret the results. Group means (report to 2 decimal places): Group 1: Internship: Group 2: Co-op: Group 3: Work Study: ANOVA summary statistics: F-ratio - (report accurate to 3 decimal places) P (report accurate to 4 decimal places) Conclusion: O The sample data suggest the average starting hourly wages are not the same. O There is not sufficient data to conclude the starting wages are different for the different groups.

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The following three independent random samples are obtained from three normally distributed
populations with equal variance. The dependent variable is starting hourly wage, and the groups
are the types of position (internship, co-op, work study).
Group 1: Internship Group 2: Co-op
Group 3: Work Study
12.5
13
9.5
11.25
11
11
10.75
10.25
10.5
12.75
9.5
8.75
13
10
11.75
12.25
12.25
11.5
12.5
10.5
13.75
13.5
12.25
9.75
9.25
13.75
10.75
10.25
13
12.25
11.5
12.25
This data can be downloaded in serial format using this link: Download CSV
Use your statistical software package to conduct a one-factor ANOVA to determine if the group
means are equal using a = 0.05. Though not specifically assessed here, you are encouraged to
also test the assumptions, plot the group means, and interpret the results.
Group means (report to 2 decimal places):
Group 1: Internship:
Group 2: Co-op:
Group 3: Work Study:
ANOVA summary statistics:
F-ratio =
(report accurate to 3 decimal places)
(report accurate to 4 decimal places)
Conclusion:
O The sample data suggest the average starting hourly wages are not the same.
O There is not sufficient data to conclude the starting wages are different for the different
groups.
Transcribed Image Text:The following three independent random samples are obtained from three normally distributed populations with equal variance. The dependent variable is starting hourly wage, and the groups are the types of position (internship, co-op, work study). Group 1: Internship Group 2: Co-op Group 3: Work Study 12.5 13 9.5 11.25 11 11 10.75 10.25 10.5 12.75 9.5 8.75 13 10 11.75 12.25 12.25 11.5 12.5 10.5 13.75 13.5 12.25 9.75 9.25 13.75 10.75 10.25 13 12.25 11.5 12.25 This data can be downloaded in serial format using this link: Download CSV Use your statistical software package to conduct a one-factor ANOVA to determine if the group means are equal using a = 0.05. Though not specifically assessed here, you are encouraged to also test the assumptions, plot the group means, and interpret the results. Group means (report to 2 decimal places): Group 1: Internship: Group 2: Co-op: Group 3: Work Study: ANOVA summary statistics: F-ratio = (report accurate to 3 decimal places) (report accurate to 4 decimal places) Conclusion: O The sample data suggest the average starting hourly wages are not the same. O There is not sufficient data to conclude the starting wages are different for the different groups.
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