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
.
Також купити книгу Statistics Done Wrong: The Woefully Complete Guide, Alex
Reinhart Ви можете по посиланню