Teaching Statistics Using Baseball. This item is unavailable.Teaching Statistics Using Baseball

"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 ysis 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 ysis on a single batch of data, followed with chapters on comparing batches of data and relations. There are chapters on probability models and on statistical inference. The book can be used as the framework for a one-semester introductory statistics cl focused on baseball or sports. This type of cl has been taught at Bowling Green State University. It may be very suitable for a statistics cl for students with sports-related 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.