Probability

Probability
An introduction to the concepts of probability and their applications, covering both discrete and continuous random variables. Probability spaces, elementary combinatorial analysis, densities and distributions, conditional probabilities, independence, expectation, variance, weak law of large numbers, central limit theorem, and numerous applications. (concurrent or prior MATH 0223 or by waiver) 3 hrs. lect./disc.
Subject:
Statistics
Department:
Mathematics & Statistics
Division:
Natural Sciences
Requirements Fulfilled:
DED
Levels:
Undergraduate

Sections

Fall 2025

STAT0310A-F25 Lecture (Peterson)

Spring 2025

STAT0310A-S25 Lecture (Tang)

Fall 2024

STAT0310A-F24 Lecture (Peterson)

Spring 2024

STAT0310A-S24 Lecture (Abbott)

Fall 2023

STAT0310A-F23 Lecture (Tang)