Simple described, equal variances, also known as homoscedasticity, is when the variances are approximately the same across the samples (i.e., groups). If our samples have unequal variances (heteroscedasticity), on the other hand, it can affect the Type I error rate and lead to false positives. This is what equality of variances means.