"An eye-opening and engrossing look at rare moments, why they occur, and how they shape our world"-- A statistician presents his theory that extraordinary and rare events are actually commonplace and cites stories of two-time lottery winners and other bizarre coincidences to support his theory that unlikely events statistically must happen.

Explores the role of luck, specifically the concept of "regression to the mean," in everyday life, exploring how failures to understand chance and random variations influence choices and perceptions of truth.

Ready to exercise those brain cells? Professor Arthur T. Benjamin is renowned for his feats of mental calculation performed before audiences at schools, theaters, museums, conferences, and in this series, he shows that there are simple tricks that allow anyone to look like a math magician. Throughout these lectures, he shows how everything in mathematics is connected--how the beautiful and often imposing edifice that has given us algebra, geometry,...

Ella is trying to decide who to invite over to play. This book helps teach children the concept of probability. Simple activities performed by Ella help children understand how likely it is that a certain result will happen. Activities include flipping a coin, rolling a number cube, and playing a game with a spinning wheel.

"Over the years, some very smart people have thought they understood the rules of chance--only to fail dismally. Whether you call it probability, risk, or uncertainty, the workings of chance often defy common sense. Fortunately, advances in math and science have revealed the laws of chance, and understanding those laws can help in your everyday life. In Chancing It, award-winning scientist and writer Robert Matthews shows how to understand the laws...

Lisa and her class learn about probability.

"This new edition shows how real world problems can be solved using statistical concepts, now with many timely updates. The authors have included R software and removed the Excel exhibits throughout the book. The new Chapter 20 discusses data mining including topics in big data, classification, machine learning, and visualization. The new Chapter 21 covers cluster analysis methodologies including in hierarchical, nonhierarchical, and model based clustering....

In the 18th century, the British minister and mathematician Thomas Bayes devised a theorem that allowed him to assign probabilities to events that had never happened before. It languished in obscurity for centuries until computers came along and made it easy to crunch the numbers. Now, as the foundation of big data, Bayes' formula has become a linchpin of the digital economy. But here's where things get really interesting: Bayes' theorem can also...