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Statisticsby David Freedman
Synopses & Reviews
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.
Book News Annotation:
Since 1978 this has been a boon to undergraduates who never thought they could pass that dreaded statistics course, and in this edition the text is even clearer and the data sets are up to date. Freedman and his collaborators make extensive use of real-world information, including that generated by the Gallup Poll the US Bureau of Labor Statistics, the National Institute of Science and Technology and national clearinghouses for statistics on crime, housing, education, and women's health, among others. The authors cover descriptive statistics (the histogram, average and standard deviation, normal approximation for data, measurement error and plotting points and lines), correlation and regression (including the RMS error for regression and the regression line), probability (chance, the binomial formula), chance variability (the law of averages, expected value and standard error, and normal approximation for probability histograms), sampling (errors, accuracy of percentages and case studies), chance models, including those used in genetics and tests of significance, including the chi-square test. Annotation ©2007 Book News, Inc., Portland, OR (booknews.com)
Renowned for its clear prose and no-nonsense emphasis on core concepts, Statistics covers fundamentals using real examples to illustrate the techniques.
'Renowned for its clear prose and no-nonsense emphasis on core concepts, Statisticscovers fundamentals using real examples to illustrate the techniques.\n
The Fourth Edition has been carefully revised and updated to reflect current data.
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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