STAT 394

Probability I
3.0 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. 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

Winter, 2024

SLN/Section Time Location Instructor
20626 A
Open

M W F 1:30PM - 2:20PM

HCK 132

Christopher Hoffman

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.

 

 

20627 B
Open

M W 8:30AM - 9:50AM

M W 8:30AM - 9:50AM

THO 101

THO 101

Garrett Patrick Allen

Kelly Kang

NO ENROLLMENT RESTRICTIONS FOR THIS SECTION. --- 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.

 

 

Upcoming Time Schedule

Spring, 2024

SLN/Section Time Location Instructor
20211 A
Open

M W 8:30AM - 9:50AM

MLR 301

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.