Survey Sampling II
Statistics · 3 hrs Lecture
Offered: Every Second Year
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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-3302 prerequisites
6 courses appear in this chain, up to 3 levels deep. 1 is needed whichever route you take: STAT-2301
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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STAT-2612|MATH-2612
the former STAT-3611|MATH-3611
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Where STAT-3302 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
Statistical agencies have long collected data of interest to governments to inform the development of public policy through surveys. This course emphasizes some key theoretical and practical aspects of survey methodology. Some important unequal probability sampling designs such as probability proportional to size sampling and multi-stage sampling are studied. The Horvitz-Thompson, generalized regression and calibration estimators and their properties are investigated. This course also covers practical methods for dealing with missing survey data, such as imputation. R statistical software is used to facilitate some analyses.
Requisite courses
STAT-2301 with a minimum grade of C, and STAT-2612|MATH-2612 (or the former STAT-3611|MATH-3611) [prerequisite(s)].
From the 2026-27 undergraduate calendar. Always verify details on WebAdvisor or with an academic advisor before registering.