What are the Chances of That?: How to Think About Uncertainty, Elliott, Andrew C

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Specifiche dell'oggetto

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Book Title
What are the Chances of That?: How to Think About Uncertainty
ISBN
9780198869023
Categoria

Informazioni su questo prodotto

Product Identifiers

Publisher
Oxford University Press, Incorporated
ISBN-10
0198869029
ISBN-13
9780198869023
eBay Product ID (ePID)
18050032697

Product Key Features

Number of Pages
384 Pages, 336 Pages
Language
English
Publication Name
What Are the Chances of That? : How to Think about Uncertainty
Subject
Probability & Statistics / General, General, Logic
Publication Year
2021
Type
Textbook
Subject Area
Mathematics, Philosophy, Science
Author
Andrew C. A. Elliott
Format
Hardcover

Dimensions

Item Height
0.9 in
Item Weight
28.1 Oz
Item Length
9.4 in
Item Width
6.5 in

Additional Product Features

Intended Audience
Trade
LCCN
2021-937968
Reviews
"There can be no doubt that Elliott delivers on his promise of going cross-country: his latest book is a veritable cornucopia of all things probability, touching on such diverse areas as gambling, performing arts, population health, crime, finance, evolution and genetics, and meteorology....Elliott is an entertaining writer." -- James Wilson, Metascience"The book is very readable and it is crammed full of both interesting examples and wise observations. It is clearly one of the best in a market that, although increasingly crowded, can hardly be overstocked. Strongly recommended to a wide readership." -- Owen Toller, The Mathematical Gazette"The book is very readable and it is crammed full of both interesting examples and wise observations... Strongly recommended to a wide readership." -- Owen Toller, Mathematical Gazette, There can be no doubt that Elliott delivers on his promise of going cross-country: his latest book is a veritable cornucopia of all things probability, touching on such diverse areas as gambling, performing arts, population health, crime, finance, evolution and genetics, and meteorology....Elliott is an entertaining writer., "There can be no doubt that Elliott delivers on his promise of going cross-country: his latest book is a veritable cornucopia of all things probability, touching on such diverse areas as gambling, performing arts, population health, crime, finance, evolution and genetics, and meteorology....Elliott is an entertaining writer." -- James Wilson, Metascience "The book is very readable and it is crammed full of both interesting examples and wise observations. It is clearly one of the best in a market that, although increasingly crowded, can hardly be overstocked. Strongly recommended to a wide readership." -- Owen Toller, The Mathematical Gazette, "There can be no doubt that Elliott delivers on his promise of going cross-country: his latest book is a veritable cornucopia of all things probability, touching on such diverse areas as gambling, performing arts, population health, crime, finance, evolution and genetics, and meteorology....Elliott is an entertaining writer." -- James Wilson, Metascience "The book is very readable and it is crammed full of both interesting examples and wise observations. It is clearly one of the best in a market that, although increasingly crowded, can hardly be overstocked. Strongly recommended to a wide readership." -- Owen Toller, The Mathematical Gazette "The book is very readable and it is crammed full of both interesting examples and wise observations... Strongly recommended to a wide readership." -- Owen Toller, Mathematical Gazette
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
121.63
Table Of Content
Pure Chance1. The Roll of the Dice2. Reckoning the Chances3. Random Thoughts4. Patterns of ProbabilityLife Chances5. Isn't that a coincidence?6. What Luck!7. Taking a Gamble8. Danger of Death9. What's There to Worry About?Happy Accidents10. Chance Discoveries11. Mixing it Up12. A Chance to Live13. Random TechnologyTaking Charge of Chance14. The Weight of Evidence15. Clarity from Chaos16. Sharing the Risk17. Shaping the Risk18. What's Coming Next19. Last ChanceSee AlsoAcknowledgements
Synopsis
Chance fills every day of our lives and affects every decision we make. Yet, for something woven so closely into the fabric of our being, we are not very good at thinking about uncertainty and risk. In this lively and engaging book, Andrew C. A. Elliott asks why this is so. He picks at the threads and, in showing how our world is built on probability rather than certainty, he identifies five obstacles to thinking about uncertainty that confuse us time after time. Elliott takes us into the casino, but this is not an invitation to gamble. He looks at financial markets, but this is not a guide to investment. There's discussion of health, but this is not a medical book. He touches on genetics and evolution, and music-making, and writing, because chance is at work there too. Entering many different fields, What are the Chances of That? is always following the trail of chance and randomness. One purpose of the book is to go cross-country, to show that there are connected ways of thinking that disrespect boundaries and cut across the domains of finance, and gambling, and genetics, and public health, and creativity. Through it, one visits the vantage points that give a broad view of the landscape and sees how these different areas of life and knowledge are connected - through chance. What are the Chances of That? discusses chance and the importance of understanding how it affects our lives. It goes beyond a mathematical approach to the subject, showing how our thinking about chance and uncertainty has been shaped by history and culture, and only relatively recently by the mathematical theory of probability. In considering how we think about uncertainty, Elliott proposes five "dualities" that encapsulate many of the ambiguities that arise., What are the Chances of That? discusses chance and the importance of understanding how it affects our lives. It goes beyond a mathematical approach to the subject, showing how our thinking about chance and uncertainty has been shaped by history and culture, and only relatively recently by the mathematical theory of probability.
LC Classification Number
BC141

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