T-tests are used to analyze data from independent variables with two levels, whereas ANOVAs analyze data from independent variables with three or more levels. T-tests include the single sample t-test, independent samples t-test, and paired-samples t-test. ANOVAs include the one-way ANOVA, ANCOVA, one-way repeated measures ANOVA, factorial ANOVA, and split-plot ANOVA.