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Statistics Lab 07: Quick and Easy ANOVAs, Post Hoc Tests, and Confidence Intervals in R.

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Published on Nov 23, 2012

In this class we fly over how to calculate the terms you need to compute F ratios using the method involving differences in means that I discussed in class. Although this is my favorite way to conceptualize ANOVA, it's not the best way to compute them when you have R available. We'll show you how to very rapidly conduct one-way and factorial ANOVAs for independent observations. After quickly covering the problems with running multiple follow-up t-tests, I show you how use Tukey's Honestly Significant Differences to determine which means are different and create confidence intervals for the differences between means.
Lecture slides, R-code, study guides and more can be found at http://wknapp.com/classes

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