Summer 2023 A-term
Meeting:
MWF 8:30am - 10:40am / THO 119
SLN:
12101
Section Type:
Lecture
Joint Sections:
STAT 394 A
Instructor:
Dasha Petrov
394A IS FULLY SYNCHRONOUS ONLINE.
INSTRUCTOR WILL BE DELIVERING THE
ONLINE LECTURES FROM THE ASSIGNED
CLASSROOM IF STUDENTS WANT TO
ATTEND THEM IN PERSON.
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.
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:
November 3, 2024 - 4:07 am