Calculating Chance: Card and Casino Games

This book offers a gentle yet rigorous introduction to probability theory, with a special focus on finite probability spaces. Drawing inspiration from card games, casino games, mahjong, and two-up, it also delves into real-world applications such as weather forecasting, lotteries, hereditary diseases, and PCR virus testing. Discover which casino game gives you the best chance of winning and which one offers the worst odds.

Assuming only a high school mathematics background, this book is an excellent resource for both students and teachers, providing clear explanations and engaging examples. The technical material is lightened with entertaining stories, such as how someone became a millionaire by spotting a flaw in a national lottery and how another person helped fund a war using winnings from a well-known card game he invented.

Engaging and informative, this book is perfect for anyone looking to deepen their understanding of probability theory while enjoying some fascinating anecdotes along the way.

Provides a gentle but rigorous introduction to probability theory Provides suitable resource material for students and teachers Suitable for students who are studying college mathematics at any year

Autorentext

Sid Morris brings decades of experience teaching mathematics, probability, statistics, and computing at universities across Australia, the United States, the UK, and Israel. He has educated students from diverse disciplines, including Agriculture, Biological Sciences, Business, Humanities, Physical Sciences, and Social Sciences, at all undergraduate levels. An accomplished author, Sid has published several books spanning undergraduate, graduate, and research levels. His exceptional writing earned him the Lester R. Ford Award from the Mathematical Association of America. Currently, he serves on the editorial boards of several international journals, is the longest-serving member of the Council of the Australian Mathematical Society, an Adjunct Professor at La Trobe University, and an Emeritus Professor at Federation University Australia.

Inhalt

Finite Probability Spaces and Examples.- Permutations and Combinations.- Conditional Probability.- Stirling's Approximation Formula and Improvements.