Statistics Done Wrong

The Woefully Complete Guide

English language

Published Sept. 8, 2015 by No Starch Press.

ISBN:
978-1-59327-620-1
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Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You'd be surprised how many scientists are doing it wrong. Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how to keep your research blunder-free. You'll examine embarrassing errors and omissions in recent research, learn about the misconceptions and scientific politics that allow these mistakes to happen, and begin your quest to reform the way you and your peers do statistics. You'll find advice on:

  • Asking the right question, designing the right experiment, choosing the right statistical analysis, and sticking to the plan
  • How to think about p values, significance, insignificance, confidence intervals, and regression
  • Choosing the right sample size and avoiding false positives
  • Reporting your analysis and …

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Review of 'Statistics Done Wrong' on 'Goodreads'

If you're used to statistical analysis, you won't much that is new here: pay attention to statistical power, beware of multiple comparisons and repeated measurements without post-hoc tests and measure of effect size. However, the book is a good series of cautionary tales for new students in statistics and research methods. It is highly readable.
Towards the end, the book veers a bit off course and get more into the ethics of research and research publication. It is interesting (but not really new... especially in light of the whole recent Lacour fiasco) but it does not necessarily have to do with statistics done wrong.
Nevertheless, if you teach intro to statistics, the book is a good additional reading as it is not so much about computation, and more about statistical reasoning and understanding the strengths and weaknesses of different tests.

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