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Nov 23, 2024
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STAT 4P81 - Sampling Theory
Theory of finite population sampling; simple random sampling; sampling proportion; estimation of sample size; stratified random sampling; optimal allocation of sample sizes; ratio estimators; regression estimators; systematic and cluster sampling; multi-stage sampling; errors in surveys; computational techniques and use of SAS, Maple or other statistical packages and related topics.
Course Format: Lectures, 3 hours per week; lab, 1 hour per week.
Prerequisite(s): STAT 3P85 (MATH) or permission of the instructor
Course Notes: This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Exclusions: Completion of this course will replace previously assigned grade and credit obtained in MATH 4P81.
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