Save To Worklist Outline/Syllabus
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).
- Choose one section from all 2 activity types. (e.g. Lecture and Laboratory)
|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|