ANOVA is closely related to the t-test. The t-test determines if the population means of exactly two groups are equal, in situations where you only have sample data.

Course TopicsThis short course will cover the one sample t-test, the two sample t-test, matched-pairs t-test, one-way ANOVA (Analysis of Variance), two-way ANOVA and ANCOVA (Analysis of Covariance).

When testing whether the means of more than 2 groups are statistically different, you could use a one-way ANOVA. But if you have multiple treatment groups, you can use Dunnett’s one-way ANOVA.

This article will cover the theory underpinning multivariate analysis of variance (MANOVA), which expands on the capabilities of ANOVA, the types of MANOVA and a worked example of the test.

A distribution-free test is considered for testing main effects in a two-factor ANOVA. Large-sample properties (cell sizes tending to infinity) including efficiencies and the limiting distribution of ...

When you are planning to analyze data from more than two groups with a one-way ANOVA, you need to calculate your sample size and power accordingly. These computations are available, prospectively, for ...

We also compared repeated-measures ANOVA, repeated-measures ANOVA on ranks, and the Friedman test for k mutually correlated samples from the same distributions, where k = 2, 3, and 4. Power functions ...