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.

Current Time Schedule

Summer, 2025

SLN/Section Time Location Instructor
13483 A
Open

M W F 8:30AM - 10:40AM

MUE 153

Katherine Elizabeth Lovelace

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.

 

 

13484 B
Open

M W F 12:00PM - 1:00PM

PCAR 192

Hyojeong Son

COURSE DETAILS: HTTPS://TINYURL.COM/4K9R83RN

 

 

Upcoming Time Schedule

Autumn, 2025

SLN/Section Time Location Instructor
21886 A
Open

M W F 9:30AM - 10:20AM

THO 101

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.