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Sandlot Stats Learning Statistics with Baseball

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ISBN-10: 1421406020

ISBN-13: 9781421406022

Edition: 2012

Authors: Stanley Rothman

List price: $90.00
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Description:

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.
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Book details

List price: $90.00
Copyright year: 2012
Publisher: Johns Hopkins University Press
Publication date: 9/17/2012
Binding: Hardcover
Pages: 592
Size: 7.50" wide x 10.25" long x 1.75" tall
Weight: 3.366

Acknowledgments
List of Abbreviations
Introduction
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
Probability
Sports Betting
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
Sampling Distributions
Confidence Intervals
Hypothesis Testing for One Population
Streaking
Mission Impossible: Batting 400 for a Season
Postseason
Hypothesis Testing for Two Population Proportions
The Chi-Square Distribution
Statistical Tables
Index