SURV625

Applied Sampling

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Prerequisite: Must have completed a course in statistics approved by department. Practical aspects of sample design. Topics include: probability sampling (including simple random, systematic, stratified, clustered, multistage and two-phase sampling methods), sampling with probabilities proportional to size, area sampling, telephone sampling, ratio estimation, sampling error estimation, frame problems, nonresponse, and cost factors. It runs concurrently with the University of Michigan course.

Spring 2024

Michael Elliott

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Spring 2023

Yajuan Si

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Yan Li

2 reviews
Average rating: 4.00

Past Semesters

James Lepkowski

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Louis Rizzo

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Raphael Nishimura

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Brady West

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James Wagner

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Yajuan Si

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Sunghee Lee

0 reviews
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Yan Li

2 reviews
Average rating: 4.00

* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.