Applied Multivariate Methods
Statistics · 3 hrs Lecture
Offered: Fall Or Winter, Every Second Year
Hard to catch. Runs only every second year, and the calendar doesn't say which, confirm the next offering with the department before counting on it.
STAT-3102 prerequisites
7 courses appear in this chain, up to 2 levels deep. 1 is needed whichever route you take: MATH-1201
Part of this course's requisite text couldn't be parsed into structure, so the chain below may be incomplete. The full wording is under “Requisite courses”.
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Where STAT-3102 counts
Counts toward 1 more as one option among several, not as a course you must take:
- STAT 3-YEAR BA/BSc IN STATISTICS
Read from the departments' own calendar pages, where 71 of 141 programs are only partly machine-readable, so treat these as a minimum rather than the full list. Confirm with an academic advisor.
Description
This course introduces students to the concepts and procedures of multivariate statistical analysis. Analysis and interpretation of multivariate data are emphasized. Topics include: matrix algebra, random vectors from two populations, multivariate analysis of variance, discriminant analysis, cluster analysis, and one of the following topics: factor analysis, canonical correlation analysis, correspondence analysis. R statistical software is used to facilitate most analyses.
Requisite courses
MATH-1201 and either STAT-1302 or STAT-2001 [prerequisite(s)].
From the 2026-27 undergraduate calendar. Always verify details on WebAdvisor or with an academic advisor before registering.