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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.