MATH 378 - Advanced Probability and Statistics

This course is a calculus-based introduction to probability theory. Topics include discrete and continuous random variables, probability distributions functions; mathematical expectation; joint density functions, law of large numbers; central limit theorem, probability models and applications, as well as an overview of statistical hypothesis testing aimed at understanding how and why standard statistical tests work.

Credits: 3

Clock Hours - (Lect-Lab): (3-0)

Prerequisites: MATH 223 (minimum grade of C-) or concurrent enrollment in MATH 223

Notes:
MATH 223 may be taken concurrently with MATH 378.

Prerequisites for all math courses must be completed with a grade of C- or better.