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 10.5 11 10.25 13.25 12.5 10.75 10 11.25 9.25 9.75 10.5 10.5 Use technology to conduct a one-factor ANOVA to determine if the group means are equal using a = 0.01. Group means (report to 2 decimal places): Group 1: Internship: Group 2: Co-op: Group 3: Work Study: 12.25 10.5 10.75 11.5 10 10.5 ANOVA summary statistics: F-ratio = (report accurate to 3 decimal places) P = (report accurate to 4 decimal places) Conclusion: The sample data suggest the average starting hourly wages are not the same. There is not sufficient data to conclude the starting wages are different for the different groups.
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 10.5 11 10.25 13.25 12.5 10.75 10 11.25 9.25 9.75 10.5 10.5 Use technology to conduct a one-factor ANOVA to determine if the group means are equal using a = 0.01. Group means (report to 2 decimal places): Group 1: Internship: Group 2: Co-op: Group 3: Work Study: 12.25 10.5 10.75 11.5 10 10.5 ANOVA summary statistics: F-ratio = (report accurate to 3 decimal places) P = (report accurate to 4 decimal places) Conclusion: The sample data suggest the average starting hourly wages are not the same. There is not sufficient data to conclude the starting wages are different for the different groups.
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter12: Probability
Section12.4: Discrete Random Variables; Applications To Decision Making
Problem 10E
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