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).

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.

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 ...

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.

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 ...

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 ...