|
Apr 23, 2024
|
|
|
|
2017-2018 Catalog [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)
|
|