• In the independent two-sample t-test, we assume normality, independence, and equal variances. • This t-test is robust against nonnormality, but is sensitive to dependence. • If n1 is close to n2, then the test is moderately robust against unequal variance (σ 1 6= σ 2). But if n1 and n2 are quite different (e.g. differ by a ratio of 3 or more), then the test is much less robust. • How to deter...