A while back Alex Reinhart, a statistics instructor and PhD student at Carnegie Mellon University, was working on a guide for doing statistics right. The goal was to teach through anecdotes of statistics done wrong, from statistical significance and p-values to regression and confounding factors.
Statistics Done Wrong is a book now. If you analyze data with any regularity but aren’t sure if you’re doing it correctly, get this book. It’s a concise guide with interesting examples and a light, easy-to-read tone.
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