Spring 2024
Meeting:
MW 8:30am - 9:50am / MLR 301
SLN:
16957
Section Type:
Lecture
Joint Sections:
STAT 394 A
Instructor:
Kelly Kang
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.
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; AWSpS.
GE Requirements Met:
Natural Sciences (NSc)
Credits:
3.0
Status:
Active
Last updated:
August 30, 2024 - 5:38 pm