An important assumption of the independent-samples t-test is that the two group's variances are equal in the population. To test whether these variances are different in the population, we can perform Levene's Test for Equality of Variances and adjust our p-value depending on whether homogeneity is met or not.

Now, should I still be concerned about this assumption when performing an independent t-test using bootstrapping? My sample is large.


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