Math 17300: Introduction to Probability and Statistics

Supervisor: María Sánchez-Muñiz

Descriptive statistics and frequency histograms; measures of location and dispersion; elementary probability; permutations and combinations; multiplication rule and conditional probability; Bayes' Theorem; independent events; random variables, expected values; applications to binomial, hypergeometric, uniform and normal distributions; the Central Limit Theorem; testing statistical hypotheses; correlation; linear regression and least squares. Prereq.: placement by the Department.

Documents

• Math173_CLO: Course Learning Outcome for Math173
• Math173_Syllabus: Syllabus and tentative schedule

Sections

For Fall 2026, the following sections are being offered:

Historical offerings