Anova Multiple Comparisons. Compare every mean with every other mean. To complete this analysis we use a method called multiple comparisons.
For example with three brands of cigarettes A B and C if the ANOVA test was significant then multiple comparison methods would compare the three possible pairwise comparisons. Example 232 Alternative Multiple Comparison Procedures. You can assess the statistical significance of differences between means using a set of confidence intervals a set of hypothesis tests or both.
The FDR approach is not often used as a followup test to ANOVA but there is no good reason for that.
A class of post hoc tests that provide this type of detailed information for ANOVA results are called multiple comparison analysis tests. The following is a continuation of the first example in the section One-Way Layout with Means ComparisonsYou are studying the effect of bacteria on the nitrogen content of red clover plants and the analysis of variance shows a highly significant effect. If you assume homoscedasticity equal SDs you choices are. The protection referred to derives from the test only being used after finding a significant treatment effect in an ANOVA.
