“Of all the books that tackle these issues, Reinhart’s is the most succinct, accessible and accurate.”
“If you analyze data with any regularity but aren't sure if you're doing it correctly, get this book.”
“An indispensable guide to the perils of statistics and their remedies...a vital contribution.”
“[A] precious little book . . . amazing, and accessible to amateurs.”
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.
The first step toward statistics done right is Statistics Done Wrong.
About the Author
Alex Reinhart is a statistics instructor and PhD student at Carnegie Mellon University. He received his BS in physics at the University of Texas at Austin and does research on locating radioactive devices using statistics and physics.
Table of Contents
Chapter 1: An Introduction to Statistical Significance
View the detailed Table of Contents (PDF)
View the Index (PDF)(top)
“A surprisingly entertaining read. If you feel like you have a decent handle on basic statistics, but wouldn’t trust yourself to set up your own analysis or experiments, you’ll certainly gain something from Statistics Done Wrong.”
"A bold book, and a fascinating one at that...truly enjoyable, and will forever change the way you view statistics."
"A delightful and informative guide...a compilation of clarity."
"A spotter's guide to arrant nonsense cloaked in mathematical respectability."
"Anyone evaluating published research, or anyone analyzing data, must understand these topics to understand (or do) science properly. This book is highly recommended."
"I will certainly recommend the book to others who have an interest in medical statistics and indeed to medics who have a dislike of statistics!"
"I ADORE THIS BOOK and plan on sharing it with many of my students...amazing."
"Good for newsrooms to have copies of this."
"A well-written, funny, and useful guide to the most common problems in statistical practice today."
"The kind of study guide that I think could benefit almost anyone slogging through a statistical analysis for the first time."
"I wish every doctor could read this."
"A great read...I would recommend it to any scientist exposed to statistics as well as to any non-scientist who would like to understand more about what may lie behind the ‘statistically significant’ results from studies reported in the media every day."
"Anyone who wants a chance at understanding research findings should consider this book as an invaluable guide to getting it right."
"An important addition to any data scientists library. In addition, the pithy writing style will keep your interest and fuel your creativity for future projects. Highly recommended."
"In the world of Big Data and Risk Analytics hype, Statistics Done Wrong is refreshing well grounded and kinda fun."
“Yes, it's brilliant writing and guaranteed to keep you awake for the important lessons. This is the best book I've read on the subject. Highly recommended!”
“A small but important book. It should be required reading for all scientists, especially editors of journals and officials of funding agencies (not to mention science journalists — well, all journalists).”
"Right up there with classics like How to Lie With Statistics."
Check out author Alex Reinhart being interviewed on Cool Science Radio!(top)