Statistics Done Wrong: The woefully complete guide

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: 2,609

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: 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: 2,609
Document Type: N/A
Publisher: No Starch Press
License: Creative Commons Attribution 4.0 International
Post time: 13 May 2016 11:00:00
Summary/Excerpts of (and not a substitute for) the Creative Commons Attribution 4.0 International:
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Adapt — remix, transform, and build upon the material for any purpose, even commercially.

The licensor cannot revoke these freedoms as long as you follow the license terms.

Click here to read the full license.
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:

  • 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.
 




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.

Alex Reinhart

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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