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Module 13 covers three different types of Analysis of Variance (ANOVA) problems. The first is the basic completely randomized, single factor ANOVA. In these, a Fisher’s LSD procedure is also included, where necessary, to identify where particular differences exist between treatment means. A few examples of a completely randomized block design are included, allowing for the blocking of heterogeneous experimental units to account for the additional variance they may introduce to the problem. Finally, a pair of exercises dealing with two factor ANOVAs, often called factorial ANOVAs. These demonstrate how to test for differences across treatments in multiple factors and interaction between them.