Question description
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 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 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.
