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John Haigh is Reader in Mathematics at Sussex University, and his book covers a remarkably large number of topics. He tells you how to take chances playing the football pools and about the role of chance in sports such as tennis, golf, and soccer. What points in tennis are most important? If a soccer player gets a yellow card in 10 percent of games and is suspended for one game whenever he has accumulated two yellow cards, how often is he suspended? What is the chance that a team that scores the first goal goes on to win? He also writes about casino games, bridge, and Monopoly, explaining why orange is the best color of Monopoly property to own.
The book is practical rather than theoretical. It is written for anyone with a curious mind, aged perhaps 16 and up. It is not a textbook, but introduces concepts, such as random walk and game theory, that are familiar to professional mathematicians. There are technical appendices and test-yourself quizzes for readers who want to explore more. A bonus is advice on the lottery. However, with typical vividness, he cautions that if the lottery had begun with the ancient druids, and your ancestors had bought 50 tickets every week for the last 5000 years, then by now your family could expect to have won the jackpot just once! --Richard Weber, Amazon.co.uk --This text refers to an out of print or unavailable edition of this title.
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Most Helpful Customer Reviews
13 of 14 people found the following review helpful:
5.0 out of 5 stars
Best broad introduction to probability for real world games,
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This review is from: Taking Chances: Winning with Probability (Paperback)
There are many textbooks on college-level mathematical probability, but a smaller number of what I call "textbooks lite" aimed at a reader who is willing to work to learn some interesting parts of a subject. This wonderful book teaches the basic calculations in mathematical probability, but with a combination of breadth and concreteness unrivaled by any other book I know. The book consists of short sections, each giving verbal discussion of problems involving probability, games of chance and related material, and deriving solutions using only arithmetic and occasional elementary combinatorics and algebra. It covers an impressive breadth of topics: lotteries, dice and card games, casino games, TV show games, racetrack betting, some game theory (Prisoners Dilemma, Hawk-Dove games, Male-Female reproductive strategies), combined with the basic laws of probability and the familiar birthday and coupon collector's problems. Part of the content is distinctly British rather than American (cricket and snooker; premium bonds; the particular TV shows). In addition to familiar types of elementary probability calculations such as the craps example, there are more elaborate stories and calculations involving strategies as games progress. I particularly like the chapter giving a gentle yet entertaining introduction to two-person game theory.
9 of 9 people found the following review helpful:
4.0 out of 5 stars
Loose thinking can cost money...,
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This review is from: Taking Chances: Winning with Probability (Paperback)
While the book is mainly written on probability in games, which has already been covered in many books, the author coveres the basics of probability and coin tossing very nicely. He also covers the theory of dices thoroughly and approaches "Games with few choices" (Game Theory) with great enthusiasm. Finally the chapter "Probability for Lawyers" with it's terms such as the prosecutors fallacy and the defence attorne's fallacy are a must read for every person interested in the fascinating subject of probabiliy. PS: second edition covers now Bayes's theorem (previous readers criticised the author of missing this important theory in the first issue)
11 of 12 people found the following review helpful:
5.0 out of 5 stars
You bet,
This review is from: Taking Chances: Winning with Probability (Hardcover)
An excellent account of probability theory. Whilst definitely geared towards gambling it also sheds new light on some fundamental probability topics. The text sometimes does get a little numerical - at the expense of the theoretical - but this is not necessarily a bad thing. The only question I have about the book is why is there no mention of Bayes? Surely a fundamental contributor to probability theory.
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