Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports [Hardcover]

1. Introduction.? 2. Describing and Summarizing Sports Data. 3. Probability.? 4. Statistical Methods. 5. Using Correlation to Detect Statistical Relationships. 6. Modeling Relationships Using Linear Regression. 7. Regression Models with Several Predictor Variables. 8. Further Topics in Regression Analysis. 9. Some Advanced Methods. 10. Applying Analytic Methods to Daily Fantasy Sports.

Used to teach an introductory course on statistics to undergraduate students using sports examples. Its practical focus on application rather than theory ensures students develop immediately applicable skills for the rapidly expanding field of sports analytics.?

Thomas A. Severini is a Professor of Statistics and Data Science at Northwestern University and a fellow of the American Statistical Association and the Institute of Mathematical Statistics. He earned his PhD in Statistics from the University of Chicago.?

One of the greatest changes in sports analytics in the past 25 years has been the use of mathematical methods to analyze performances, recognize trends and patterns, and predict results. Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports, Third Edition, provides a concise, yet thorough, introduction to the analytic and statistical methods that are useful in studying sports.

Key Features:

• New to the third edition is a chapter on applying mathematical and statistical methods to the analysis of daily fantasy sports
• Covers numerous statistical procedures for analyzing data based on sports results
• Presents fundamental methods for describing and summarizing data
• Describes aspects of probability theory and basic statistical concepts that are necessary to underló!