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'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...read more
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This edition of book was issued in Paperback. The volume of the book is 384 pages (approximate value, can be different depending on the edition).
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- Chance, Luck, and Statistics
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- 384 pages
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'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 '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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