Almost every statistical test has certain assumptions that underlie the use of the test. For example, the t test makes the major assumption that the amount of variability in each of the two groups is equal. This is the homogeneity of variance assumption. Homogeneity means sameness. Although it’s no big deal if this assumption is violated when the sample size is big enough, with smaller samples, one can’t be too sure of the results and conclusions.
