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STAT 306 Finding Relationships in Data

Modelling a response (output) variable as a function of several explanatory (input) variables: multiple regression for a continuous response, logistic regression for a binary response, and log-linear models for count data. Finding low-dimensional structure: principal components analysis. Cluster analysis. (Consult the Credit Exclusion List within the Faculty of Science section in the Calendar).

This course is eligible for Credit/D/Fail grading. To determine whether you can take this course for Credit/D/Fail grading, visit the Credit/D/Fail website. You must register in the course before you can select the Credit/D/Fail grading option.

Credits: 3

Pre-reqs: One of MATH 152, MATH 221, MATH 223 and one of STAT 200, STAT 241, STAT 251, STAT 300, BIOL 300, COMM 291, ECON 325, ECON 327, FRST 231, PSYC 218, PSYC 278, PSYC 366 and one of MATH 302, STAT 302.

Status Section Activity Term Interval Days Start Time End Time Comments
STAT 306 101Web-Oriented Course1 Tue Thu8:009:30

To note there is NO LABS for the fall term!!!

Seats reserved for Stat specializations and CPSC will be released on August 4th if not filled

If course is full, please register on the wait list after reading the registration and wait list information:

There will be a "mirrored" online class in the early evening as an alternative to the 8am session, most likely from 5pm

STAT 306 201Web-Oriented Course2 Tue Thu15:3017:00

There will be a "mirrored" online class in the morning as an alternative to the afternoon session, most likely from 9.30am

There are now no LABS for the course

If the class is full please register in the waitlist STAT 306 WL2

STAT 306 WL2Waiting List2 Tue Thu15:3017:00


Registration on the waitlist does not guarantee a seat in the course.