From Simply Stats
In any introductory statistics or data analysis class they might teach you the basics, how to load a data set, how to munge it, how to do t-tests, maybe how to write a report. But there are a whole bunch of ways that a data analysis can be screwed up that often get skipped over. Here is my first crack at creating a "menagerie" of messed up data analyses and how you can avoid them. Depending on interest I could probably list a ton more, but as always I'm doing the non-comprehensive list :).
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