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 Proced

About the Author
Alex Reinhart is a statistics Ph.D student at Carnegie Mellon University who received his B.S. in physics at the University of Texas, Austin. He teaches introductory statistics at Carnegie Mellon.


Book Information
ISBN 9781593276201
Author Alex Reinhart
Format Paperback
Page Count 176
Imprint No Starch Press,US
Publisher No Starch Press,US