Chapter 10 SPSS Instructions
Testing µ1-µ2
A. (Replicating Example 10.4) Pool all Gold_Oil data in one column and label ‘Pooled.’
In adjacent column (label as ‘Group’), denote all Gold values with 0 and all Oil
values with 1.
B. From the menu select Analyze > Compare Means > Independent-Samples T Test.
C. Select Pooled as Test Variable(s) and Group as Grouping Variable. Select Define
Groups and enter 0 for Group 1 and 1 for Group 2.
D. SPSS reports the following results. The p-value of 0.766 matches the one obtained in
Example 10.4.
Group Statistics
Group
Pooled
N
Mean
Std. Deviation
Std. Error Mean
.00
10
16.0000
8.40635
2.65832
1.00
10
17.3000
10.68800
3.37984
n
1
Independent Samples Test
Levene's Test for
Equality of Variances
F
Sig.
t-test for Equality of Means
t
Sig. (2tailed)
df
1
Mean
Difference
Std. Error
Difference
95% Confidence
Interval of the
Difference
Lower
Upper
Pooled
Equal
variances
assumed
.699
.414
Equal
variances
not
assumed
-.302
18
.766
-1.30000
4.30000
-10.33396
7.73396
-.302
17.053
.766
-1.30000
4.30000
-10.37005
7.77005
Testing µD
A. (Replicating Example 10.8) Copy and paste the Food_Calories data from the text
website into a SPSS spreadsheet.
B. From the menu choose Analyze > Compare Means > Paired-Samples T Test.
Select Before as Variable1 and After as Variable2.
C. SPSS reports the following results. The value of the test statistic and the p-value, 6.78
and 0.000, match the values produced by Excel in Example 10.8.
Paired Samples Test
Paired Differences
Pair 1
Before After
Mean
8.80000
Std.
Deviation
8.20944
Std. Error
Mean
1.29803
2
95% Confidence
Interval of the
Difference
Lower
6.17449
Upper
11.42551
t
6.780
df
39
Sig. (2tailed)
.000
One-Way ANOVA
A. (Replicating Example 10.9) Pool all Public_Transportation data in one column and
label ‘Pooled.’ In adjacent column (label as ‘Group’), denote all Boston values with 1,
all New York values with 2, etc.
B. From the menu choose Analyze > Compare Means > One-Way ANOVA.
C. Select Pooled as Dependent List and Group as Factor
D. SPSS reports the following results. The value of the test statistic and the p-value,
610.57 and 0.000, match the values produced by Excel in Example 10.9.
ANOVA
Pooled
Sum of Squares
Between Groups
Within Groups
Total
df
Mean Square
1.320E7
3
4401573.333
144180.000
20
7209.000
1.335E7
23
3
F
610.566
Sig.
.000