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MATH 394 A: Probability I

Meeting Time: 
MWF 9:30am - 10:20am
Location: 
GWN 301
SLN: 
16613
Joint Sections: 
STAT 394 A
Instructor:
Andrea Heald
Catalog Description: 
Axiomatic definitions of probability; random variables; conditional probability and Bayes' theorem; expectations and variance; named distributions: binomial, geometric, Poisson, uniform (discrete and continuous), normal and exponential; normal and Poisson approximations to binomial. Transformations of a single random variable. Markov and Chebyshev's inequality. Weak law of large numbers for finite variance. Prerequisite: either a minimum grade of 2.0 in MATH 126, or a minimum grade of 2.0 in MATH 136. Offered: jointly with STAT 394; AWS.
GE Requirements: 
Natural World (NW)
Credits: 
3.0
Status: 
Active
Last updated: 
March 23, 2020 - 2:30am
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