Statistics
STAT 131 Introduction to Probability Theory
Introduction to probability theory and its applications. Combinatorial analysis, axioms of probability and independence, random variables (discrete and continuous), joint probability distributions, properties of expectation, Central Limit Theorem, Law of Large Numbers, Markov chains. Students cannot receive credit for this course and STAT 203 and
CMPE 107. (Formerly AMS 131.)
General Education Code
SR
Quarter offered
Fall, Winter, Spring, Summer
Instructor
The Staff, Raquel Prado, Athanasios Kottas, Bruno Sanso, Yonathan Katznelson, David Draper, Ju Hee Lee