An award-winning math popularizer, who has advised the US Olympic Committee, NFL, and NBA, offers sports fans a new way to understand truly improbable feats in their favorite games.
In 2013, NBA point guard Steph Curry wowed crowds when he sunk 11 out of 13 three-pointers for a game total of 54 points--only seven other players, including Michael Jordan and Kobe Bryant, had scored more in a game at Madison Square Garden. Four years later, the University of Connecticut women's basketball team won its hundredth straight game, defeating South Carolina 66-55. And in 2010, one forecaster--an octopus named Paul--correctly predicted the outcome of all of Germany's matches in the FIFA World Cup. These are surprising events--but are they truly improbable?
In Get in the Game, mathematician and sports analytics expert Tim Chartier helps us answer that question--condensing complex mathematics down to coin tosses and dice throws to give readers both an introduction to statistics and a new way to enjoy sporting events. With these accessible tools, Chartier leads us through modeling experiments that develop our intuitive sense of the improbable. For example, to see how likely you are to beat Curry's three-pointer feat, consider his 45.3 percent three-point shooting average in 2012-13. Take a coin and assume heads is making the shot (slightly better than Curry at a fifty percent chance). Can you imagine getting heads eleven out of thirteen times? With engaging exercises and fun, comic book-style illustrations by Ansley Earle, Chartier's book encourages all readers--including those who have never encountered formal statistics or data simulations, or even heard of sports analytics, but who enjoy watching sports--to get in the game.
Publisher: University of Chicago Press
Original Binding: Paperback
Pages: 160 pages
ISBN-10: 022681114X
Item Weight: 0.4 lbs
Dimensions: 6.0 x 0.5 x 9.0 inches
"The key aspect that separates this book from other statistics and probability books that I have read, as well as sport data analytics books, is that Chartier has worked very hard to ensure that any mention of statistics and probability in this book is done through the use of coin tosses or rolls of a die. He wants the reader to understand the underlying concepts of the book are no more complicated than understanding a 50/50 coin toss or the distribution of possible rolls of a six-sided die. He manages to extrapolate these two concepts to far more complex concepts such as the binomial and normal distributions, Pythagorean expectation and computer simulations in sports forecasting using a very clear path for readers with little experience in formal statistics and probability studies. . . . This is certainly the most accessible book on sport data analytics that I've read. If you know someone who likes different sports but isn't too confident with their mathematical abilities then this is a good bet (pun intended)."
-Mathematics Today
Tim Chartier is the Joseph R. Morton Professor of Mathematics and Computer Science at Davidson College. He has fielded analytics questions from ESPN, the New York Times, the US Olympic and Paralympic Committee, and teams in the NBA, NFL, and NASCAR. Among his numerous books, he is the author of Math Bytes: Google Bombs, Chocolate-Covered Pi, and Other Cool Bits in Computing.
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