Table 6: This table shows the independent samples test. The Independent Samples t Test compares the means of two independent groups in order to determine whether there is statistical evidence that the associated population means are significantly different. The Independent Samples t Test is a parametric test. In statistics, (Levene's test) is an inferential statistic used to assess the equality of variances for a variable calculated for two or more groups. A (t-test) is any statistical hypothesis test in which the test statistic follows a Student's t-distribution under the null hypothesis.
Levene's Test for Equality of Variances |
t-test for Equality of Means |
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F. |
Sig. |
T |
Df |
Sig. (2-tailed) |
Mean Difference |
Std. Error Difference |
95% Confidence Interval of the Difference |
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Lower |
Upper |
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Data |
Equal variances assumed |
0.341 |
0.56 |
-0.415 |
185 |
0.679 |
-0.123 |
0.296 |
-0.706 |
0.461 |
Equal variances not assumed |
|
|
-0.385 |
106.113 |
0.701 |
-0.123 |
0.319 |
-0.755 |
0.510 |