I am comparing the mean scores for an exam for one class (A) to four different classes (B,C,D,E), such as AB, AC, AD and AE.

The data for all classes is normal but in class E. I am performing a T-Test for AB, AC and AD only, but using the Mann Whitney test for the comparison of AE being that A is normal and E not normal.

I am applying the Bonferroni Correction to take the family wise error into account.

Therefore new alpha is .05/4 = .0125.

I am using SPSS to run the test for me. The T Test reports the outcome for Levene's Test for Equal Variances.

My question is, do I use the p value .0125 when looking for the results from Levene's test? That is if p>.0125, equal variance are assumed, and if p<.0125, equal variances are not assumed. This will show me how to interpret my p value for the T Test.

Thanks much for your input.