Sep 27, 2024  
2007-2008 
    
2007-2008 [ARCHIVED CATALOG]

MAT 340 - Probability


Instructor
Staff

A study of probability theory relative to both discrete and continuous probability laws. Topics include independence and dependence, mean, variance and expectation, random variables, jointly distributed probability laws, Chebysheff’s Inequality and a version of the Central Limit Theorem. Applications of probability theory are approached through a variety of idealized problems.

Prerequisites & Notes
Prerequisite: Mathematics 135. (Fall)