Winter 2024
Meeting:
MW 8:30am - 9:50am / THO 101
SLN:
17238
Section Type:
Lecture
Joint Sections:
STAT 394 B
Instructors:
Garrett Patrick Allen
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. 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 STAT 394; AWSpS.
GE Requirements Met:
Natural Sciences (NSc)
Credits:
3.0
Status:
Active
Last updated:
March 11, 2025 - 4:17 am