Statistics Done Wrong: The woefully complete guide

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.

**Tag(s):**
Statistics

**Publication date**: 16 Mar 2015

**ISBN-10**:
1593276206

**ISBN-13**:
9781593276201

**Paperback**:
176 pages

**Views**: 5,980

**Type**: N/A

**Publisher**:
No Starch Press

**License**:
Creative Commons Attribution 4.0 International

**Post time**: 13 May 2016 11:00:00

Statistics Done Wrong: The woefully complete guide

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.

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From Book Description:

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:

Scientists: Read this concise, powerful guide to help you produce statistically sound research. Statisticians: Give this book to everyone you know.

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.

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About The Author(s)

Alex Reinhart is a PhD student in statistics at Carnegie Mellon University. He earned his BSc in physics at the University of Texas at Austin while doing research on statistical methods to detect unexpected radioactive sources using mobile detectors. He now works on statistical models to understand and predict where crimes occur.

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