Sampling Theory with Applications (STAT*3320)
Code and section: STAT*3320*01
Term: Fall
Details
This course focuses on the design and analysis of survey samples for finite populations. Topics covered include: non-probability and probability sampling, simple random sampling, stratified sampling, cluster sampling, systematic sampling, double sampling, two-phase sampling and multi-stage cluster sampling. Expectation, variance estimation procedures and sample size calculations for the above techniques are included.
Offered in odd-numbered years.
Syllabus
Attachment | Size |
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Course Outline (Fall 2015) | 153.29 KB |
Course Outline (Fall 2017) | 161.86 KB |
Course Outline (Fall 2019) | 59.54 KB |
Course Outline (Fall 2021) | 869.64 KB |
Course Outline (Fall 2023) | 488.94 KB |