Stanley Rothman is professor of mathematics at Quinnipiac University.

• AcknowledgmentsList of AbbreviationsIntroduction1. Basic Statistical Definitions2. Descriptive Statistics for One Quantitative Variable3. Descriptive Measures Used in Baseball4. Comparing Two Quantitative Data Sets5. Linear Regression and Correlation Analysis for Two Quantitative Variables6. Descriptive Statistics Applied to Qualitative Variables7. Probability8. Sports Betting9. Baseball and Traditional Descriptive Measures10. Final Comparison of Batting Performance between Aaron and Bonds11. Probability Distribution Functions for a Discrete Random Variable12. Probability Density Functions for a Continuous Variable13. Sampling Distributions14. Confidence Intervals15. Hypothesis Testing for One Population16. Streaking17. Mission Impossible: Batting .400 for a Season18. PostseasonAppendix A: Hypothesis Testing for Two Population ProportionsAppendix B: The Chi-Square DistributionAppendix C: Statistical TablesIndex

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 Teacher

Stanley Rothman is professor of mathematics at Quinnipiac University.

• AcknowledgmentsList of AbbreviationsIntroduction1. Basic Statistical Definitions2. Descriptive Statistics for One Quantitative Variable3. Descriptive Measures Used in Baseball4. Comparing Two Quantitative Data Sets5. Linear Regression and Correlation Analysis for Two Quantitative Variables6. Descriptive Statistics Applied to Qualitative Variables7. Probability8. Sports Betting9. Baseball and Traditional Descriptive Measures10. Final Comparison of Batting Performance between Aaron and Bonds11. Probability Distribution Functions for a Discrete Random Variable12. Probability Density Functions for a Continuous Variable13. Sampling Distributions14. Confidence Intervals15. Hypothesis Testing for One Population16. Streaking17. Mission Impossible: Batting .400 for a Season18. PostseasonAppendix A: Hypothesis Testing for Two Population ProportionsAppendix B: The Chi-Square DistributionAppendix C: Statistical TablesIndex

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 Teacher

Stanley Rothman is professor of mathematics at Quinnipiac University.

• AcknowledgmentsList of AbbreviationsIntroduction1. Basic Statistical Definitions2. Descriptive Statistics for One Quantitative Variable3. Descriptive Measures Used in Baseball4. Comparing Two Quantitative Data Sets5. Linear Regression and Correlation Analysis for Two Quantitative Variables6. Descriptive Statistics Applied to Qualitative Variables7. Probability8. Sports Betting9. Baseball and Traditional Descriptive Measures10. Final Comparison of Batting Performance between Aaron and Bonds11. Probability Distribution Functions for a Discrete Random Variable12. Probability Density Functions for a Continuous Variable13. Sampling Distributions14. Confidence Intervals15. Hypothesis Testing for One Population16. Streaking17. Mission Impossible: Batting .400 for a Season18. PostseasonAppendix A: Hypothesis Testing for Two Population ProportionsAppendix B: The Chi-Square DistributionAppendix C: Statistical TablesIndex

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 Teacher