Course Description
Statistical reasoning in sports. Quantitative methods for analyzing observational data collected in professional and amateur sports. Probability concepts, such as joint probability, conditional probability, and Bayes Theorem to model uncertainty in sports. Quantifying variation in estimation for comparative purposes including resampling techniques; statistical significance. Linear and generalized linear regression models. Focus on baseball, basketball, North American football, hockey. Other areas of application include tennis, soccer, and golf.
Fall 2025
Instructors
Meeting Patterns
Classes Start:
August 18, 2025
Classes End:
December 2, 2025
Location:
00209 Cox Hall
Class Days:
T H
Class Start Time:
1:30pm
Class End Time:
2:45pm
Class Type:
Lecture
Credits:
3.00
Restrictions:
P: (ST 307 or ST 308 or CSC 111 or CSC 116) and (ST 312 or ST 370 or ST 372)
