Statistics
Finding Relationships in Data
3 credits
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).
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Average
76.6%
Students
2595
Sections
24
Historical Averages
2014–2025
Lowest section avg
70.1%
Highest section avg
84.8%
Terms offered
16
Some grade ranges were withheld by UBC to protect student privacy and are not shown above.
Grade data from ubc-pair-grade-data.
| Section | Activity | Enrolled | Time | Instructor |
|---|---|---|---|---|
| 201 | Lecture | — | Tue 09:00-12:00, Thu 09:00-12:00 | Kenny Chiu |
| L2A | Laboratory | — | Tue 12:30-13:30, Thu 12:30-13:30 | — |
| L2B | Laboratory | — | Tue 13:30-14:30, Thu 13:30-14:30 | — |
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STAT 306 corequisites
STAT 306 antirequisites