As Derek Jeter strolls toward the plate, the announcer tosses out a smattering of statisticsafrom hitting streaks to batting averages. But what do the numbers mean? And how can Americaas favorite pastime be a model for learning about statistics? Sandlot Stats is an innovative textbook that explains the mathematical underpinnings of baseball so that students can understand the world of statistics and probability. Carefully illustrated and filled with exercises and examples, this book teaches the fundamentals of probability and statistics through the feats of baseball legends such as Hank Aaron, Joe DiMaggio, and Ted Williamsaand more recent players such as Barry Bonds, Albert Pujols, and Alex Rodriguez. Exercises require only pen-and-paper or Microsoft Excel to perform the analyses. Sandlot Stats covers all the bases, includingac descriptive and inferential statisticsac linear regression and correlationac probabilityac sports bettingac probability distribution functionsac sampling distributionsac hypothesis testingac confidence intervalsac chi-square distribution Sandlot Stats offers information covered in most introductory statistics books, yet is peppered with interesting facts from the history of baseball to enhance the interest of the student and make learning fun. -- Harvey FrommerThis chapter introduced the concept of a probability distribution function (pdf) for a continuous variable. A probability distribution ... The standard normal curve table (Z-Table) provides the cumulative probability for any z-value. By converting an ... The second method given was to use the formulas provided in Excel. The twoanbsp;...
|Publisher||:||JHU Press - 2012-10-01|