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In its first edition, Statistics set a new standard for introductory texts, written in accessible language that teaches students how to think about statistical issues through real-world examples, such as political polls and Galton's regression paradox, and in terms of models that underlie statistical inference. Retaining these core strengths, the Fourth Edition adds a diverse body of new examples, exercises, and data sets, and has been thoroughly updated to reflect the most recent developments in the field.
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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