July 2025
Beginner
464 pages
9h 31m
English
Content preview from Statistical Analysis with R For Dummies, 2nd Edition
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Chapter 12
Testing More than Two Samples
IN THIS CHAPTER
Understanding why multiple t-tests won’t work
Analyzing variance
Taking the next step after an ANOVA
Working with repeated measures
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 discuss R functions that do the work for you.
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 to one of the three methods. Your plan is to train them, test them, tabulate the results, and make some conclusions. Before you can finish the study, three people leave the company — one from ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.