SURV625

Applied Sampling

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 2026

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Spring 2025

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During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.28 between 171 students*

SURV625 Grade Distribution+-0510152025303540455055% of studentsABCDFWother
A-: 25.15%
A: 23.98%
A+: 2.34%
B-: 2.92%
B: 11.11%
B+: 22.22%
F: 1.75%
W: 5.85%
other: 4.68%
* "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.