ABSTRACT
The hypothesis testing method described in Chapter 6 is something of a blunt instrument. The Null hypothesis under test is rather broad: “Are the means of all the treatment levels the same as each other?” When it is clear that this global hypothesis should be rejected, how do we make sense of this result in terms of the research question “what effects do the treatments have”? In this chapter we will look at how we interpret differences between treatments. Then we will move towards using factorial experiments to tease out the biological effects in a more meaningful way. We will also expand on what we can do with ANOVA to investigate more complicated relationships.
