SPSS Tutorial 2:
The aim of this tutorial is to gain experience with hypothesis testing using SPSS
Exercise One
The marketing director of PR FILMS LTD collected the following data during a mall
intercept survey. She asked anyone who would stop, their age, their gender, and whether
or not they had seen the movie Batman Begins. She stopped 20 people.
Gender
Seen Batman
Age
f
n
17
f
n
65
m
n
44
m
n
42
m
n
54
m
n
37
m
n
62
m
y
17
m
y
12
m
y
15
m
y
6
m
y
14
m
y
65
m
y
22
f
y
34
f
y
32
f
y
12
f
y
7
f
y
7
f
y
8
Note: the data for this exercise (i.e. the above table) can be downloaded from
http://classes.uleth.ca/200305/mgt3220y/SPSS/ and imported into SPSS
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1. What is the relationship between a person's gender and whether or not they have
seen Batman Begins? Is it the case, for example, that more girls than boys have
seen it?
2. What is the null and alternative hypothesis
3. What statistical test should be performed, and what level of significance
4. Using SPSS conduct the test
5. What are the critical values of the test statistic
6. Should the null hypothesis be accepted or rejected. What can be concluded
7. Are people over 27 more or less likely to have been to see Batman Begins than
people who are 27 or under?
8. What is the null and alternative hypothesis
9. What statistical test should be performed, and what level of significance
10. Using SPSS conduct the test
11. What are the critical values of the test statistic
12. Should the null hypothesis be accepted or rejected. What can be concluded
13. It is often useful here to convert a continuous variable such as age into groups. So,
rather than dealing with a different value for age for each person you have, you
need to convert this ratio scale variable (age) into a nominal scale variable (age
group). To do this, on the Transform menu click on “recode”.
14. After converting the variable what test should be conducted?
Exercise Two
A psychologist was interested in self-esteem in 12 and 13 year olds. Specifically, she
wanted to know if social skills training improves self esteem.
To test her hypothesis she gave a Self Esteem test at the beginning of the academic year
to 16 children selected at random from grade 7 at a local junior high. The children then
received two social skills lessons per week for the next ten weeks. At the end of that
period she gave the self esteem test again.
Child
1st SE test score
2nd SE test score
Arthur
20
26
Jack
20
25
Nathan
21
23
Clint
21
22
Kevin
22
21
Shaun
23
29
Sam
23
28
Jo
24
28
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Gerry
26
28
Emma
26
24
Mel
26
26
Kim
27
29
Nat
28
29
Shaz
28
27
Victoria
30
34
Eliza
30
31
The data for this exercise can be imported the data from the excel file located at:
tp://classes.uleth.ca/200304/mgt3220y/Admin%20stuff/
1.
2.
3.
4.
What are the null and alternate hypotheses
What sort of statistical test should she perform
Using SPSS run the test
Must she accept or reject the null hypothesis. Are the results significant, and if so at what
level
5. What can she conclude
Exercise Three
A survey of 20 bank workers (labeled 2) and plumbers (labeled 1) were asked how many
days they had had off work in the previous year due to respiratory problems (i.e. cold)
and stomach problems. The results are given below.
Participant
Respiratory
Disorders
Occupation
Stomach
Disorders
1
1
1
7
2
1
1
5
3
1
5
3
4
1
0
9
5
1
3
2
6
1
4
2
7
1
0
0
8
1
0
2
9
1
3
6
10
1
2
7
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11
1
1
8
12
2
7
4
13
2
4
2
14
2
3
1
15
2
0
1
16
2
4
2
17
2
1
2
18
2
8
1
19
2
5
2
20
2
4
6
Note: the data for this exercise (i.e. the above table) can be downloaded from
http://classes.uleth.ca/200305/mgt3220y/SPSS and imported into SPSS
1. Work out means for each dependent variable for each group and produce a table
like the one below. Report standard deviations for each mean. Produce a clear
caption for your table describing exactly what it shows.
Occupation
Plumbers
Bank workers
Mean number of days lost
Respiratory problems
Gastric problems
2. Do these data provide evidence that plumbers in the population as a whole take more
days off work due to gastric problems than days off work due to respiratory problems?
3. Same as number 2, but this time for bank workers.
4. Is there a significant difference in the total number of days taken off work (for either
gastric or respiratory problems) between plumbers and bank workers.
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