Sandlot Stats uses the national pastime to help students who love
baseball learn--and enjoy--statistics.
As Derek Jeter strolls toward the plate, the announcer tosses out a
smattering of statistics--from hitting streaks to batting averages. But
what do the numbers mean? And how can America's favorite pastime be a
model for learning about statistics? Sandlot Stats is an innovative
textbook that explains the mathematical underpinnings of baseball so
that students can understand the world of statistics and probability.
Carefully illustrated and filled with exercises and examples, this book
teaches the fundamentals of probability and statistics through the feats
of baseball legends such as Hank Aaron, Joe DiMaggio, and Ted
Williams--and more recent players such as Barry Bonds, Albert Pujols,
and Alex Rodriguez. Exercises require only pen-and-paper or Microsoft
Excel to perform the analyses.
Sandlot Stats covers all the bases, including
- descriptive and inferential statistics
- linear regression and correlation
- probability
- sports betting
- probability distribution functions
- sampling distributions
- hypothesis testing
- confidence intervals
- chi-square distribution
Sandlot Stats offers information covered in most introductory
statistics books, yet is peppered with interesting facts from the
history of baseball to enhance the interest of the student and make
learning fun.
