'The style is clear and lively. The treatment ... is remarkably accurate. In short, it is a good book." — Scientific Monthly
To understand the laws behind chance and probability, you don't need a degree or other formal training in mathematics; all you need is this book! In simple, nontechnical language, it will introduce you to the fundamentals governing chance. Then you'll find a host of practical statistical applications for your new knowledge, including everyday pursuits ranging from sports and government to business and other fields.
The first part explains the theory of probability, with particular reference to superstitions and fallacies, betting odds, and the law of mathematical expectation, and with specific applications to poker, roulette, lotteries, dice games, bridge, and other games involving chance. The second part illustrates: how to apply the principles behind probability theory to statistics, with discussions of normal frequency distributions and the dangers of misusing statistics. A survey of statistical applications takes in a remarkable variety of fields, including strategic warfare, social problems, stock speculation, advertising, and operations research.
Written in a highly readable style, with frequent touches of humor, this volume will enliven any course in probability and statistics. It will appeal to both teachers and students of probability and statistics as well as to nonmathematicians.
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Table of ContentsPreface to Dover Edition
PART I: CHANCE
Chapter I " Chance, Luck and Statistics"
Chapter II Gamblers and Scientists
Chapter III The World of Superstition
Chapter IV Fallacies
Chapter V The Grammer of Chance
"Chapter VI "Heads or Tails"
Chapter VII Betting and Expectation
Chapter VIII Who Is Going to Win?
Chapter IX Chance and Speculation
Chapter X Poker Chances
Chapter XI Poker Chances and Strategy
Chapter XII Roulette
"Chapter XIII Lotteries, Craps, Bridge"
PART II: STATISTICS
Chapter XIV From Chance to Statistics
Chapter XV Chance and Statistics
Chapter XVI Fallacies in Statistics
Chapter XVII Statistics at Work
Chapter XVIII Advertising and Statistics
Chapter XIX Business and Statistics