Sandlot Stats Learning Statistics with Baseball
List price: $90.00
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As Derek Jeter strolls toward the plate, the announcer tosses out a smattering of statistics—from hitting streaks to batting averages. But what do the numbers mean? And how can America’s 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 Williams—and 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, including• descriptive and inferential statistics• linear regression and correlation• probability• sports betting• probability distribution functions• sampling distributions• hypothesis testing• confidence intervals• chi-square distributionSandlot 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.
List price: $90.00
Copyright year: 2012
Publisher: Johns Hopkins University Press
Publication date: 9/17/2012
Size: 7.50" wide x 10.25" long x 1.75" tall
|List of Abbreviations|
|Basic Statistical Definitions|
|Descriptive Statistics for One Quantitative Variable|
|Descriptive Measures Used in Baseball|
|Comparing Two Quantitative Data Sets|
|Linear Regression and Correlation Analysis for Two Quantitative Variables|
|Descriptive Statistics Applied to Qualitative Variables|
|Baseball and Traditional Descriptive Measures|
|Final Comparison of Batting Performance between Aaron and Bonds|
|Probability Distribution Functions for a Discrete Random Variable|
|Probability Density Functions for a Continuous Variable|
|Hypothesis Testing for One Population|
|Mission Impossible: Batting 400 for a Season|
|Hypothesis Testing for Two Population Proportions|
|The Chi-Square Distribution|