Book DetailAuthor/Editor(s): Alex Reinhart
Publication Date: March 16, 2015
Publisher: No Starch Press
Size: 7.18 MB
Book DescriptionScientific 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.
I recommend this book to anyone without a thorough understanding of the concepts underlying statistical analysis.
--Jon, Amazon Customer Reviews
I highly recommend this humorous and thoroughly researched guide to anyone who must evaluate Business, Scientific or Professional Conclusions based upon Statistics.
--Ira Laefsky, Amazon Customer Reviews
It is written in an engaging manner, the case presentations are germane to the subject, and despite being an easy read, there is a great deal of solid material.
--John Jacobson, Amazon Customer Reviews