
Sandlot Stats
Learning Statistics with Baseball
Stanley Rothman(Author)
Johns Hopkins University Press
Will be published approx. on 27. December 2012
Book
Hardback
592 pages
978-1-4214-0602-2 (ISBN)
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 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.
"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.
Reviews / Votes
Sandlot Stats served as an instrumental and informative piece to the Baseball Statistics course. The amount of time and tedious effort put into the project is evident, as this book is absolutely packed with information. The book puts a new spin on mathematics, and makes it more understandable for even the most casual of baseball fans. Baseball purists and sabermetric geeks alike will love this book. -- Jon Alba Sports Paws Dr. Rothman has hit a 'home run.' Sandlot Stats: Learning Statistics with Baseball is not only a fine book to read, but a text which can also serve as an excellent resource book. -- Father Gabe Costa CBS New York For those interested in this subject-this is your book. -- Harvey Frommer Epoch Times If this had been the textbook for a basic statistics course that I took as a student, I might have remembered that course forever as the best class I ever had. -- Charles Ashbacher MAA Reviews Sandlot Stats is a readable and resourceful introductory textbook for statistics. -- Graham Wheeler Significance The book is very readable and well organized... High school statistics teachers could use this book as a course supplement or an enrichment source for sports-crazy students. Any college professor teaching a sports statistics course or looking for ways to enliven a traditional course would also find it interesting. Even baseball fans wanting to learn more about descriptive measures used in the game could benefit from Rothman's interesting exposition. -- Marc Michael Mathematics TeacherMore details
Language
English
Place of publication
Baltimore, MD
United States
Target group
College/higher education
Product notice
sewn/stitched
Paper over boards
Illustrations
190 s/w Zeichnungen
190 Line drawings, black and white
Dimensions
Height: 257 mm
Width: 185 mm
Thickness: 43 mm
Weight
1406 gr
ISBN-13
978-1-4214-0602-2 (9781421406022)
DOI
10.1353/book.72087
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
12/2012
Johns Hopkins University Press
€68.49
Available for download
Person
Stanley Rothman is professor of mathematics at Quinnipiac University.
Content
Acknowledgments
List of Abbreviations
Introduction
1. Basic Statistical Definitions
2. Descriptive Statistics for One Quantitative Variable
3. Descriptive Measures Used in Baseball
4. Comparing Two Quantitative Data Sets
5. Linear Regression and Correlation Analysis for Two Quantitative Variables
6. Descriptive Statistics Applied to Qualitative Variables
7. Probability
8. Sports Betting
9. Baseball and Traditional Descriptive Measures
10. Final Comparison of Batting Performance between Aaron and Bonds
11. Probability Distribution Functions for a Discrete Random Variable
12. Probability Density Functions for a Continuous Variable
13. Sampling Distributions
14. Confidence Intervals
15. Hypothesis Testing for One Population
16. Streaking
17. Mission Impossible: Batting .400 for a Season
18. Postseason
Appendix A: Hypothesis Testing for Two Population Proportions
Appendix B: The Chi-Square Distribution
Appendix C: Statistical Tables
Index
List of Abbreviations
Introduction
1. Basic Statistical Definitions
2. Descriptive Statistics for One Quantitative Variable
3. Descriptive Measures Used in Baseball
4. Comparing Two Quantitative Data Sets
5. Linear Regression and Correlation Analysis for Two Quantitative Variables
6. Descriptive Statistics Applied to Qualitative Variables
7. Probability
8. Sports Betting
9. Baseball and Traditional Descriptive Measures
10. Final Comparison of Batting Performance between Aaron and Bonds
11. Probability Distribution Functions for a Discrete Random Variable
12. Probability Density Functions for a Continuous Variable
13. Sampling Distributions
14. Confidence Intervals
15. Hypothesis Testing for One Population
16. Streaking
17. Mission Impossible: Batting .400 for a Season
18. Postseason
Appendix A: Hypothesis Testing for Two Population Proportions
Appendix B: The Chi-Square Distribution
Appendix C: Statistical Tables
Index