Chapter 12

Testing More Than Two Samples

In This Chapter

arrow Understanding why multiple t-tests won’t work

arrow Working with ANOVA

arrow Taking the next step after an ANOVA

arrow Working with repeated measures

arrow Performing a trend analysis

Statistics would be limited if you could only make inferences about one or two samples. In this chapter, I discuss the procedures for testing hypotheses about three or more samples. I show what to do when samples are independent of one another, and what to do when they’re not. In both cases, I discuss what to do after you test the hypotheses.

I also introduce Excel data analysis tools that do the work for you. Although these tools aren’t at the level you’d find in a dedicated statistical package, you can combine them with Excel’s standard features to produce some sophisticated analyses.

Testing More Than Two

Imagine this situation. Your company asks you to evaluate three different methods for training its employees to do a particular job. You randomly assign 30 employees ...

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