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Statistical Rules of Thumb, 2nd Edition

ISBN: 978-0-470-14448-0
Paperback
304 pages
September 2008
List Price: US $90.50
Government Price: US $60.12
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Statistical Rules of Thumb, 2nd Edition (0470144483) cover image
This is a Print-on-Demand title. It will be printed specifically to fill your order. Please allow an additional 10-15 days delivery time. The book is not returnable.

?This is a unique and effective contribution. Unlike some statistical books, this is a truly enjoyable read.? (Doody?s Reviews)

"For the applied researcher who does much of her or his own data analysis, this book is a must-have. Even the applied statistician would benefit from owning a copy of this collection. It is certain that some 'rules' will be new, and the descriptions in the text can come in quite handy when one i trying to explain a concept to a non-statistician. In short, this collection of 'rules' is highly recommended." (MAA Reviews, December 10, 2008)

"For the applied researcher who does much of her or his own data analysis, this book is a must-have.  Even the applied statistician would benefit from owning a copy of this collection.  It is certain that some 'rules' will be new, and the descriptions in the text can come in quite handy when one is trying to explain a concept to a non-statistician.  In short, this collection of 'rules' is highly recommended." (MAA Reviews, Dec 2008)

“The first edition was masterful, the second is beyond wonderful.   First-edition topics have been updated; new chapters on observational studies and evidence-based medicine broaden and deepen impact.   A must read for all who produce or read quantitative studies.” 
Thomas A. Louis, PhD, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health

"The first edition was masterful, the second is beyond wonderful. First-edition topics have been updated; new chapters on observational studies and evidence-based medicine broaden and deepen impact. A must read for all who produce or read quantitative studies."
—Thomas A. Louis, PhD, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health

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