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 2024
Instructors
Meeting Patterns
Classes Start:
August 19, 2024
Classes End:
December 3, 2024
Location:
00322 111 Lampe Drive
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)
