Standard two-way ANOVA works by comparing the differences among group means with the pooled standard deviations of the groups. Prism does not offer this test.ĪNOVA also assumes that all sets of replicates have the same SD overall, and that any differences between SDs are due to random sampling. If you really don't think your data are sampled from a Gaussian distribution (and no transform will make the distribution Gaussian), you should consider performing nonparametric two-way ANOVA. Prism does not test for violations of this assumption. While this assumption is not too important with large samples, it is important with small sample sizes, especially with unequal sample sizes. Two-way ANOVA assumes that your replicates are sampled from Gaussian distributions. Are the populations distributed according to a Gaussian distribution?
Read elsewhere to learn about choosing a test, and interpreting the results. In this example, drug treatment is one factor and gender is the other.
For example, you might measure a response to three different drugs in both men and women. Two-way ANOVA, also called two-factor ANOVA, determines how a response is affected by two factors.
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