Autumn 2024
Meeting:
MWF 9:30am - 10:20am / THO 101
SLN:
18482
Section Type:
Lecture
Joint Sections:
STAT 394 A
THERE WILL BE NO OVERLOADS.
PLEASE SUBSCRIBE TO UW
NOTIFY FOR SEAT NOTIFICATION
DURING PERIODS 1 AND 2. ADD
CODES WILL BE REQUIRED
STARTING PERIOD 3. PLEASE
ATTEND THE FIRST CLASS TO
ADD YOUR NAME TO THE WAITLIST.
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NO TIME CONFLICT IS ALLOWED
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 23, 2024 - 1:38 pm