Solver … Hypothesis Testing For Two Or More Samples
Use the Student_Data.xls file which consists of 200 MBA students at Whatsamattu U. The file includes variables regarding students’ age, gender, major, GPA, Bachelors GPA, course load, English speaking status, family, weekly hours spent studying.
I have uploaded the materials for UNIT needed. This Unit is much like Unit 03 but now you are comparing two different samples to each other rather than some stated norm. You still will choose one of the three directions for the test…..two-tailed, upper tailed, or lower tailed…..depending on how the problem is worded. Or if testing more than two variables, and using the ANOVA test, you look to the post hoc section to observe any significant differences if you reject the null.
COMPLETE PROBLEM 1: The battle of the sexes lives on still today. Since admission standards do not address gender there should be an equally diverse group of men and women in school, but do they perform equally well? Using the sample of 200 students (in the data file), conduct a hypothesis test for two independent samples to determine if the mean GPA differs for men and women. Use a .05 significance level. Report on your findings (100+ words, 3 or more sentences). In your report, be sure to include the results of the hypothesis test and indicate whether you are using a two-tail, upper-tail, or lower-tail test.
COMPLETE PROBLEM 2: You have heard that men are more likely than women to declare a major in an MBA program. Using the sample of 200 students (in the data file), conduct a hypothesis test of proportions to determine if the proportion of women with “no major” is greater than the proportion of men with “no major”. Use a .05 significance level. Report on your findings (100+ words, 3 or more sentences). In your report, be sure toinclude the results of the hypothesis test and indicate whether you are using a two-tail, upper-tail, or lower-tail test.
COMPLETE PROBLEM 3: You have probably heard that if you want something done, give it to a busy person. So is one’s employment status a factor in their academic performance? Using the sample of 200 students (in the data file), conduct a hypothesis test using Analysis of Variance to determine if there is a difference in the mean GPA for those who are unemployed vs. work part-time vs. work full-time. Report on your findings (100+ words, 3 or more sentences). In your report, be sure to include the results of the hypothesis test and indicate whether you are using a two-tail, upper-tail, or lower-tail test. Also include a chart comparing the means of the three groups.
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