An Introduction to Sample Survey Theory and Methods
Introduction to sample survey theory and methods, covering design and analysis of surveys including stratification, clustering, and regression estimation.
Summary
Past student reviews · Erik Nordheim
The course was considered tough, as the instructor expected students to know the material he taught. However, this rigor was balanced by his fairness and clarity.
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapSTAT 333, 340, graduate/professional standing, or declared in Statistics VISP
This is a best-effort interpretation; check the catalog requirements above.
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
ERIK NORDHEIM is recorded teaching in Spring 2007, Spring 2008, Spring 2013, Spring 2015. Recorded history may be incomplete and does not establish a future schedule.
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
No records available.
Student experience
the class
Past student reviews · Erik Nordheim
Erik Nordheim made the statistics major feel fun and engaging for a student who was also his advisor. He was described as tough but very fair, with a clear teaching style that welcomed questions.
Recent recorded grades — Fall 2018: 3.42 GPA, 68.0% A/AB (n=50 letter grades); Fall 2019: 3.01 GPA, 46.9% A/AB (n=49 letter grades); Fall 2023: 3.69 GPA, 87.5% A/AB (n=24 letter grades).
difficulty & workload
Past student reviews · Erik Nordheim
The course was considered tough, as the instructor expected students to know the material he taught. However, this rigor was balanced by his fairness and clarity.
Past student reviews · Erik Nordheim
A student noted that taking the class with Erik Nordheim was a positive experience, stating they likely would not regret it. He was praised for being clear and approachable in class.
Topics
- Basic survey tools, simple random sampling, and estimation methods.
- Advanced sampling designs including stratification, systematic, cluster, two-stage, and unequal probability sampling.
- Non-sampling errors and handling missing data.
Skills
- Designing sample surveys and analyzing their results.
- Applying ratio and regression estimation techniques.
- Implementing stratified, systematic, cluster, two-stage, and unequal probability sampling designs.
Grades
Latest available · Fall 2023— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Fall 2023
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
No offering records for the selected term.
Raw records
[]
Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-29
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "447b58276793c176aead1676224526c414b9d063ee691b525d9b69964e08a59a",
"requirements_status": "valid",
"dataset_revision": "c9cd06eaa45f9ddf7e69faa38b89ff3d3dd995dd",
"observed_at": "2026-10-29 21:30:40.248904+00:00"
}