ISBN: 9780470184011 - probably not: future prediction using probability and statistical inference (16 Ergebnisse)

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Paperback. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

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Zustand: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

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Zustand: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

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Zustand: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

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paperback. Zustand: New. In shrink wrap. Looks like an interesting title.

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Zustand: New. Probably Not is intended to be both entertaining and educational in an area that is central to everyday life. The examples provided in the book exemplify how we are living in a statistical world, what we can expect, what we really know based upon the information at hand, and also explains when we only think we know something. Num Pages: 328 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 234 x 162 x 17. Weight in Grams: 476. . 2008. 1st Edition. Paperback. . . . .…

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Zustand: New. Probably Not is intended to be both entertaining and educational in an area that is central to everyday life. The examples provided in the book exemplify how we are living in a statistical world, what we can expect, what we really know based upon the information at hand, and also explains when we only think we know something. Num Pages: 328 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 234 x 162 x 17. Weight in Grams: 476. . 2008. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.…

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Kartoniert / Broschiert. Zustand: New. Lawrence N. Dworsky, PhD, is a former corporate research lab director at Motorola, Inc., where he was also a member of the Science Advisory Board. He has also served as a consultant to the Defense Advanced Research Projects Agency (DARPA), Littelfuse Corp...

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Taschenbuch. Zustand: Neu. Neuware - An engaging, entertaining, and informative introduction to probability and prediction in our everyday livesAlthough Probably Not deals with probability and statistics, it is not heavily mathematical and is not filled with complex derivations, proofs, and theoretical problem sets. This book unveils the world of statistics through questions such as what is known based upon the information at hand and what can be expected to happen. While learning essential concepts including 'the confidence factor' and 'random walks,' readers will be entertained and intrigued as they move from chapter to chapter. Moreover, the author provides a foundation of basic principles to guide decision making in almost all facets of life including playing games, developing winning business strategies, and managing personal finances.Much of the book is organized around easy-to-follow examples that address common, everyday issues such as:\*How travel time is affected by congestion, driving speed, and traffic lights\*Why different gambling casino strategies ultimately offer players no advantage\*How to estimate how many different birds of one species are seen on a walk through the woodsSeemingly random events-coin flip games, the Central Limit Theorem, binomial distributions and Poisson distributions, Parrando's Paradox, and Benford's Law-are addressed and treated through key concepts and methods in probability. In addition, fun-to-solve problems including 'the shared birthday' and 'the prize behind door number one, two, or three' are found throughout the book, which allow readers to test and practice their new probability skills. Requiring little background knowledge of mathematics, readers will gain a greater understanding of the many daily activities and events that involve random processes and statistics.Combining the mathematics of probability with real-world examples, Probably Not is an ideal reference for practitioners and students who would like to learn more about the role of probability and statistics in everyday decision making.…