- Hardcover: 720 pages
- Publisher: W. W. Norton & Company; 4th edition (February 13, 2007)
- Language: English
- ISBN-10: 0393929728
- ISBN-13: 978-0393929720
- Product Dimensions: 7.4 x 1.7 x 10.3 inches
- Shipping Weight: 3 pounds (View shipping rates and policies)
- Average Customer Review: 4.0 out of 5 stars See all reviews (89 customer reviews)
- Amazon Best Sellers Rank: #23,676 in Books (See Top 100 in Books)
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About the Author
David Freedman received his B.Sc. from McGill and his Ph.D. from Princeton. He has worked as a consultant for the City of San Francisco, the County of Los Angeles, the U.S. Department of Energy, and the U.S. Department of Justice. He has written several previous books and numerous technical papers. He is a member of the American Academy of Arts and Sciences and teaches at the University of California, Berkeley.
Robert Pisani received his B.A. and Ph.D. at the University of California, Berkeley. His research interests include probability models of market-price behavior and the statistical valuation of financial instruments.
Roger Purves received his B.A. at the University of British Columbia and his Ph.D. at the University of California, Berkeley, where he currently teaches. His research interests are in the mathematical foundations of probability theory.
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Top Customer Reviews
This is one of the top half-dozen texts of my entire college career.
Not only do the authors make statistics accessible and even fun, they do so in a consistently smart style that simultaneously simplifies statistical concepts while not pandering in the quality of language overall, or occasions for clever asides. While many professors will end up using modern calculators for the problems, the text bases its lessons on the use of tables (normal, t, and chi-square). I found myself following both the professor and, electively, the text for a more full understanding of "old school" methods. Each chapter has enough embedded problems (with answers at the end of the text) that the reviews and other materials provided by my professor were often redundant. I wish I had access to the answers for each chapter review questions, but that can hardly be a criticism in my "student" copy of the text.
I'll be revisiting this book long after I've ceased being a student. It has helped me have more informed attitudes about statistical products in general, which I suppose was a point of the course and the text.