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.

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.

The user can also change the standard deviation and sample size (n) by dragging the slider on the left. After changing the values, the applet displays the F statistic and resulting p-value for a ...

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).

It is much less computationally intensive than a parametric bootstrap test proposed in the literature for the one-way ANOVA for functional data. Via some simulation studies, it is found that in terms ...

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 ...