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Course Details

Course Details

MATH 339 - BASEBALL STATISTICS

Models and research methods developed or adapted for use by baseball statisticians; including descriptive statistics, confidence intervals, hypothesis testing, regression, Bayesian statistics, and Markov chains. Presentation of several tools for teaching statistical concepts using data from baseball.

Credits: 3

PREREQUISITES:

  • MATH 300  (with a min grade of C-)
  •   OR   ACSC 300  (with a min grade of C-)
  •   OR   ACSC 347  (with a min grade of C-)
  •   OR   ECON 234  (with a min grade of C-)
  •   OR   MATH 217  (with a min grade of C-)
  •   OR   MATH 347  (with a min grade of C-)

View the Course Finder for more detailed prerequisite information.

COURSE NOTES:

Basis background in Statistics and Linear Algebra  recommended.