Independent sample t test
The Independent Samples t test compares the meanings of the two independent groups in order to determine if there is statistical evidence that the associated population mean is significantly different. The Independent Samples t test is a parametric test. This test is also known as: Independent t Test
Step 1
·
Analyze> compare means>
independent sample t test
Step 2:
· The shift the independent variable
to test variance (self-esteem) on the right side and shift the dependent
variable (gender) to the grouping variables box on the right side.
Step 3:
Define the independent variables as 1 and 2 for the gender. Then click on continue.
Define the independent variables as 1 and 2 for the gender. Then click on continue.
Then click on OK
Group
Statistics
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gender
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N
|
Mean
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Std.
Deviation
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Std.
Error Mean
|
|
area
|
female
|
143
|
1.3916
|
.48983
|
.04096
|
male
|
157
|
1.4968
|
.53857
|
.04298
|
|
Independent
Samples Test
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Levene's
Test for Equality of Variances
|
t-test
for Equality of Means
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F
|
Sig.
|
t
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df
|
Sig.
(2-tailed)
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Mean
Difference
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Std.
Error Difference
|
95%
Confidence Interval of the Difference
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Lower
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Upper
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area
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Equal variances assumed
|
8.808
|
.003
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-1.764
|
298
|
.079
|
-.10521
|
.05964
|
-.22257
|
.01216
|
Equal variances not assumed
|
-1.772
|
298.000
|
.077
|
-.10521
|
.05937
|
-.22205
|
.01164
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