Describe the result lavene test result below
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 |
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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Sales |
Equal variances assumed |
.247 |
.622 |
-.074 |
32 |
.941 |
-32.412 |
437.593 |
-923.760 |
858.937 |
Equal variances not assumed |
-.074 |
31.719 |
.941 |
-32.412 |
437.593 |
-924.070 |
859.246 |
A levene's test is an F test for testing the null hypothesis that variances are equal across the groups( here samples). The alternative hypothesis is the variances are unequal, simply. The p-value we got for this test is : 0.622 which is greater than any ( level of significance) like 0.01, 0.1 or etc. Hence the result of the test shows that the null hypothesis should be accepted which tell us that the variances of the two samples are equal.
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