STAT 394

Probability I

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

Autumn, 2022

SLN/Section Time Location Instructor
0
Open

 

 

21808 A
Open

M W F 9:30AM - 10:20AM

M W F 9:30AM - 10:20AM

ECE 125

ECE 125

Christopher Hoffman

HERMAN CHAU

 

 

21809 B
Open

M W F 9:30AM - 10:20AM

MGH 255

COURSE WILL NOT BE OFFERED.

 

 

Upcoming Time Schedule

Winter, 2023

SLN/Section Time Location Instructor
20763 A
Open

M W F 8:30AM - 9:20AM

THO 101

PLEASE SIGN UP FOR UW NOTIFY TO GET SEAT ALERTS WHEN THE COURSE IS FULL.

 

 

20764 B
Open

M W F 10:30AM - 11:20AM

MGH 255

COURSE PENDING TO BE WITHDRAWN.

 

 

20765 C
Open

M W F 2:30PM - 3:20PM

SAV 141

COURSE WILL BE CANCELLED.