Softcover ISBN:  9781470469382 
Product Code:  TEXT/34.S 
List Price:  $75.00 
MAA Member Price:  $56.25 
AMS Member Price:  $56.25 
eBook ISBN:  9781614446224 
Product Code:  TEXT/34.E 
List Price:  $69.00 
MAA Member Price:  $51.75 
AMS Member Price:  $51.75 
Softcover ISBN:  9781470469382 
eBook: ISBN:  9781614446224 
Product Code:  TEXT/34.S.B 
List Price:  $144.00 $109.50 
MAA Member Price:  $108.00 $82.13 
AMS Member Price:  $108.00 $82.13 
Softcover ISBN:  9781470469382 
Product Code:  TEXT/34.S 
List Price:  $75.00 
MAA Member Price:  $56.25 
AMS Member Price:  $56.25 
eBook ISBN:  9781614446224 
Product Code:  TEXT/34.E 
List Price:  $69.00 
MAA Member Price:  $51.75 
AMS Member Price:  $51.75 
Softcover ISBN:  9781470469382 
eBook ISBN:  9781614446224 
Product Code:  TEXT/34.S.B 
List Price:  $144.00 $109.50 
MAA Member Price:  $108.00 $82.13 
AMS Member Price:  $108.00 $82.13 

Book DetailsAMS/MAA TextbooksVolume: 34; 2017; 243 pp
Teaching Statistics Using Baseball is a collection of case studies and exercises applying statistical and probabilistic thinking to the game of baseball. Baseball is the most statistical of all sports since players are identified and evaluated by their corresponding hitting and pitching statistics. There is an active effort by people in the baseball community to learn more about baseball performance and strategy by the use of statistics. This book illustrates basic methods of data analysis and probability models by means of baseball statistics collected on players and teams. Students often have difficulty learning statistics ideas since they are explained using examples that are foreign to the students. The idea of the book is to describe statistical thinking in a context (that is, baseball) that will be familiar and interesting to students.
The book is organized using a same structure as most introductory statistics texts. There are chapters on the analysis on a single batch of data, followed with chapters on comparing batches of data and relationships. There are chapters on probability models and on statistical inference. The book can be used as the framework for a onesemester introductory statistics class focused on baseball or sports. This type of class has been taught at Bowling Green State University. It may be very suitable for a statistics class for students with sportsrelated majors, such as sports management or sports medicine. Alternately, the book can be used as a resource for instructors who wish to infuse their present course in probability or statistics with applications from baseball.
The second edition of Teaching Statistics follows the same structure as the first edition, where the case studies and exercises have been replaced by modern players and teams, and the new types of baseball data from the PitchFX system and fangraphs.com are incorporated into the text.
Ancillaries:

Table of Contents

Chapters

An Introduction to Baseball Statistics

Chapter 2. Exploring a Single Batch of Baseball Data

Chapter 3. Comparing Batches and Standardization

Chapter 4. Relationships Between Measurement Variables

Chapter 5. Introduction to Probability Using Tabletop Games

Chapter 6. Probability Distributions and Baseball

Chapter 7. Introduction to Statistical Inference

Chapter 8. Topics in Statistical Inference

Chapter 9. Modeling Baseball Using a Markov Chain

A. An Introduction to Baseball


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Teaching Statistics Using Baseball is a collection of case studies and exercises applying statistical and probabilistic thinking to the game of baseball. Baseball is the most statistical of all sports since players are identified and evaluated by their corresponding hitting and pitching statistics. There is an active effort by people in the baseball community to learn more about baseball performance and strategy by the use of statistics. This book illustrates basic methods of data analysis and probability models by means of baseball statistics collected on players and teams. Students often have difficulty learning statistics ideas since they are explained using examples that are foreign to the students. The idea of the book is to describe statistical thinking in a context (that is, baseball) that will be familiar and interesting to students.
The book is organized using a same structure as most introductory statistics texts. There are chapters on the analysis on a single batch of data, followed with chapters on comparing batches of data and relationships. There are chapters on probability models and on statistical inference. The book can be used as the framework for a onesemester introductory statistics class focused on baseball or sports. This type of class has been taught at Bowling Green State University. It may be very suitable for a statistics class for students with sportsrelated majors, such as sports management or sports medicine. Alternately, the book can be used as a resource for instructors who wish to infuse their present course in probability or statistics with applications from baseball.
The second edition of Teaching Statistics follows the same structure as the first edition, where the case studies and exercises have been replaced by modern players and teams, and the new types of baseball data from the PitchFX system and fangraphs.com are incorporated into the text.
Ancillaries:

Chapters

An Introduction to Baseball Statistics

Chapter 2. Exploring a Single Batch of Baseball Data

Chapter 3. Comparing Batches and Standardization

Chapter 4. Relationships Between Measurement Variables

Chapter 5. Introduction to Probability Using Tabletop Games

Chapter 6. Probability Distributions and Baseball

Chapter 7. Introduction to Statistical Inference

Chapter 8. Topics in Statistical Inference

Chapter 9. Modeling Baseball Using a Markov Chain

A. An Introduction to Baseball