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Statistics Done Wrong: The Woefully Complete Guide
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.
Details
| OPC | PMVN9X |
|---|---|
| Brand | No-Starch-Press,US |
| Codes | 1593276206 (ISBN-10) |
| 9781593276201 (ISBN) |
Disclaimer: The information below is provided by various external sources and should be used as a guide only.
Statistics Done Wrong
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.
Alternative names:
Detailed Product Information
Weight & dimensions
| Height | 228.6 mm |
|---|---|
| Width | 152.4 mm |
Features
| Release date (DD/MM/YYYY) | 01/03/2015 |
|---|---|
| Number of pages | 176 pages |
| Written by | Alex Reinhart |
| Publisher | No Starch Press |
| International Standard Book Number (ISBN) | 9781593276201 |
| Book cover type | Paperback |
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