Description
Book SynopsisExplains the mathematical underpinnings of baseball so that students can understand the world of statistics and probability. This book teaches fundamentals of probability and statistics through the feats of baseball legends such as Hank Aaron, Joe DiMaggio, and Ted Williams and more recent players Barry Bonds, Albert Pujols, and Alex Rodriguez.
Trade ReviewSandlot 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 Teacher
Table of ContentsAcknowledgments
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
