Apr 22, 2019  
2018-2019 Catalog 
    
2018-2019 Catalog [ARCHIVED CATALOG]

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MAT 340 - Probability


Instructor
Zhuang

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)



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