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 publishing your data and source code -Procedures to follow
precautions to take and analytical software that can help Scientists: Read this concise
powerful guide to help you produce statistically sound research. Statisticians: Give this book
to everyone you know. The first step toward statistics done right is Statistics Done Wrong.
