Mar 28, 2024  
2016-2017 
    
2016-2017 [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
Mathematics 140 or 160. (Fall)