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 problem can be overcome by using inferential statistics, which you will learn about in Chapters 14 and 15. ... General formulas are provided that allow us to calculate the mean, varia ance, and standard deviation for a discrete random variable of a pdf. ... (1) a direct use of the formula, (2) the binomial table, (3) the binomial formula included in Microsoft Excel, and (4) an online binomial calculation.

Title | : | Sandlot Stats |

Author | : | Stanley Rothman |

Publisher | : | JHU Press - 2012-10-01 |

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