SPSS Exercise: Paper and Exam Marks
From: Sekaran, Uma (2009). Research Methods for Business. 5 th Edition. Wiley.
The following data are available:
218783M2080
198380M1100
238586M4098
218175F1076
218175F3082
206768F3099
267588F2120
249278F4115
267892M4126
308995F3129
217280F1086
198165M2080
177577M1070
197685F1099
358083F3099
277560F2060
218580M3089
277975M4070
219093F3140
229795M3165
219082M2115
198786F3119
329590M2120
196857F3089
Variables comprising the data are as follows:
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Age
Exam Marks (for a maximum of 100)
Paper Marks (for a maximum of 100)
Sex (M=Male, F=Female)
Year in College (1=Freshman; 2=Sophomore; 3=Junior; 4=Senior)
IQ
1) Data handling
a) Enter the data in the computer.
b) Provide appropriate variable labels, values labels, and scaling indications to the
variables.
2) Descriptives
a) Use Analyze, Descriptive statistics, Descriptives to summarize metric variables.
b) Recode the sex variable such that it is 1 for females and 0 for males.
Hint: Do this immediately in your own dataset, so do not enter M and F.
c) Use Analyze, Descriptive statistics, Frequencies to summarize nonmetric
variables.
d) Compute the mean year in college for males and for females. Conclusion?
e) Create a cross table between gender and Year in College
3) Data analysis
a) Is the exam grade significantly larger than 75?
b) Are there significant differences in the exam grade for men and women?
c) Obtain a correlation matrix for all relevant variables and discuss the results.
d) Do a multiple regression analysis to explain the variance in paper grades using the
independent variables of: age; sex (dummy coded); and IQ, and interpret the
results.