STAT 394
Probability I
4.0 credits
Course 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. Course overlaps with: E E 391; STMATH 392; and TMATH 393. Prerequisite: either a minimum grade of 2.0 in MATH 126, or a minimum grade of 2.0 in MATH 136. Offered: jointly with MATH 394; AWSpS.
Syllabus Downloads
Current Time Schedule
Summer, 2025
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13483 A Open |
M W F 8:30AM - 10:40AM |
MUE 153 |
Katherine Elizabeth Lovelace |
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394A IS FULLY SYNCHRONOUS ONLINE --- PLEASE SUBSCRIBE TO UW NOTIFY IF YOU WOULD LIKE TO GET SEAT ALERTS FROM THE UNIVERSITY. PLEASE CONTINUE TO USE UW NOTIFY BEFORE AND AFTER QUARTER STARTS. CONTACT INSTRUCTOR FOR ADD CODE. INSTRUCTOR'S NAME WILL BE POSTED A WEEK BEFORE QUARTER STARTS.
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13484 B Open |
M W F 12:00PM - 1:00PM |
PCAR 192 |
Hyojeong Son |
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COURSE DETAILS: HTTPS://TINYURL.COM/4K9R83RN
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