Statistics 4th Edition by David Freedman, Robert Pisani and Roger Purves offers clear prose and no-nonsense emphasis on core concepts. This text covers fundamentals using real examples for example the techniques. It has been carefully revised and up to date to replicate current data.
Students carry out numerical experiments, analyze information, and manipulate plots to be taught elementary statistical and probabilistic concepts. The text combines guided exploration with the presentation of recent material. The format encourages students to practice and to ask and reply "what if?" questions-to learn via inquiry. The practice exercises are graded instantly, and detailed options are a click away.
Many examples and exercises change every time a page is reloaded, providing a practically unlimited number of practice problems. Each student can work at his own pace, and can emphasize those subjects he finds most challenging or most interesting by reloading the chapter. If the instructor desires, every student can be administered a different version of the end of chapter quizzes. Quizzes are graded automatically and logged in on online database. Each student can see the solution to his individual version of the quizzes after the due date.
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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