Tests with more than two groups and ANOVA
In the previous chapter and previous sections, we covered tests between two groups. In this section, we will cover two methods for testing differences between groups, as follows:
- Pairwise tests with the Bonferroni correction
- ANOVA
When testing for differences between more than two groups, we will have to use multiple tests, which will affect our type I error rate. There are several methods to control the error rate. We will see how to utilize the Bonferroni correction to control the Type I error rate. We will also discuss ANOVA in this section, which is used to test for a difference in means of multiple groups.
Multiple tests for significance
In the previous sections, we looked at making a comparison between two groups. In this section, we will consider how to perform tests when there are more than two groups present. Let’s again consider the factory example where we have several models (model A, model B, and...
