Statistical Design of Experiments
Statistics · 3 hrs Lecture
Offering schedule: contact department
The calendar doesn't say which term this runs in. The sections below show the terms it actually runs in this year.
STAT-4601 prerequisites
6 courses appear in this chain, up to 3 levels deep. 1 is needed whichever route you take: STAT-3104
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Where STAT-4601 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 explores basic principles of statistical experimental design including randomization; replication; blocking; confounding; nested versus crossed factors; split-plot designs; fixed, random and mixed models; and the contrast between designed experiments and observational studies. It investigates factorial and fractional factorial designs with an emphasis on 2k factorial designs and 2k-p fractional factorial designs. Other potential topics include robust parameter design, 3k-p fractional factorial designs, balanced incomplete block designs, mixture experiments, and response surface methodology.
Requisite courses
STAT-3104 [prerequisite(s)].
From the 2026-27 undergraduate calendar. Always verify details on WebAdvisor or with an academic advisor before registering.