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STAT 306 Finding Relationships in Data

Modeling 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, BIOL 300 and one of MATH 302, STAT 302.

Status Section Activity Term Interval Days Start Time End Time Comments
  STAT 306 201 Lecture 2 Tue Thu 9:30 11:00

If the course is full and you would like to enrol in Stat 306 (and have the

four prerequisite courses of introductory statistics, multivariable

calculus, linear algebra and probability), please attend the Stat

306 lectures in week 1, even if you cannot register online. This is

especially the case for those who are Statistics majors in year 3.

  STAT 306 L2A Laboratory 2 Tue 12:00 13:00
  STAT 306 L2B Laboratory 2 Tue 16:00 17:00
  STAT 306 L2C Laboratory 2 Fri 9:00 10:00
Full STAT 306 L2D Laboratory 2 Fri 15:00 16:00