Spring 2027

Statistics for Sociologists I

Statistics for Sociologists I covers presentation of sociological data, descriptive statistics, probability, inference, hypothesis testing, regression, correlation, and contingency tables.

offering recorded4 credits

Recorded instructors · Spring 2027 Peter Rich

Summary

1 / 6

Past student reviews · Laura Heideman

The class required weekly homework, which one student found manageable by attending class and doing all assignments. They noted that hard work led to an A.

What you’ll be able to do

Use the methods of quantitative social research to assemble, describe, and draw inference from quantitative data.
Execute and present elementary statistical analyses.
Critically evaluate statistical evidence in both academic and popular settings.

Source: UW Guide 1 UW Guide 2

Grade history

↗

average GPA
letter grades

All recorded terms · compare terms & instructors

Professors

Spring 2027

Peter Rich

Recent recorded grades — Spring 2026: 2.91 GPA, 32.3% A/AB (n=65 letter grades).

Historical instructors & teaching patterns

CHAEYOON LIM is recorded teaching in Fall 2008, Spring 2009, Fall 2009, Fall 2010, Spring 2011, Spring 2013, Spring 2014, Fall 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2022, Spring 2024. Recorded history may be incomplete and does not establish a future schedule.

CHRISTINE SCHWARTZ is recorded teaching in Fall 2006, Spring 2007, Fall 2007, Spring 2008, Fall 2008, Spring 2009, Fall 2009, Spring 2010, Fall 2011, Fall 2012, Fall 2018, Fall 2023, Fall 2024. Recorded history may be incomplete and does not establish a future schedule.

DAVID SCHELLY is recorded teaching in Spring 2016. Recorded history may be incomplete and does not establish a future schedule.

GRIFFIN BUR is recorded teaching in Fall 2020, Fall 2021, Fall 2022, Spring 2023. Recorded history may be incomplete and does not establish a future schedule.

JOHN LOGAN is recorded teaching in Spring 2008, Spring 2010, Spring 2012, Fall 2012, Spring 2013, Fall 2013, Spring 2015, Fall 2015, Fall 2019. Recorded history may be incomplete and does not establish a future schedule.

KEEDON KWON is recorded teaching in Fall 2008. Recorded history may be incomplete and does not establish a future schedule.

LAURA HEIDEMAN is recorded teaching in Spring 2011, Spring 2012. Recorded history may be incomplete and does not establish a future schedule.

NICOLE KRAUS is recorded teaching in Spring 2012. Recorded history may be incomplete and does not establish a future schedule.

NORA SCHAEFFER is recorded teaching in Fall 2006, Spring 2008, Fall 2009, Fall 2010, Fall 2011, Fall 2012, Fall 2013, Fall 2014. Recorded history may be incomplete and does not establish a future schedule.

PETER RICH is recorded teaching in Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

RICHARD AVILES is recorded teaching in Fall 2011. 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 2027

Schedule loads here as you scroll.

Section	Mode	Enrolled / capacity
LEC 001	Classroom Instruction	0 / 72
LAB 301	Classroom Instruction	0 / 25
LAB 302	Classroom Instruction	0 / 25
LAB 303	Classroom Instruction	0 / 25
LAB 304	Classroom Instruction	0 / 25
LEC 001	Classroom Instruction	0 / 100
LAB 301	Classroom Instruction	0 / 25
LAB 302	Classroom Instruction	0 / 25
LAB 303	Classroom Instruction	0 / 25
LAB 304	Classroom Instruction	0 / 25

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records

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Student experience

the class

Past student reviews · Griffin Bur

One student found the course well-paced despite an intimidating syllabus, noting that lectures were dense but digestible. They described the instructor as accessible and inspiring.

Recent recorded grades — Spring 2025: 3.27 GPA, 65.4% A/AB (n=81 letter grades); Fall 2025: 3.41 GPA, 65.1% A/AB (n=86 letter grades); Spring 2026: 2.91 GPA, 32.3% A/AB (n=65 letter grades).

difficulty & workload

Past student reviews · Laura Heideman

The class required weekly homework, which one student found manageable by attending class and doing all assignments. They noted that hard work led to an A.

Past student reviews · Christine Schwartz

One student felt the instructor went slow in teaching stats and was helpful during office hours, despite initial awkwardness. They found the grade easy to earn if they paid attention.

Topics

Descriptive statistics, probability theory, and statistical inference.
Estimation and tests of hypotheses.
Regression, correlation, and analysis of contingency tables.
Presentation of sociological data.

Skills

Assemble, describe, and draw inference from quantitative data using quantitative social research methods.
Execute and present elementary statistical analyses.
Critically evaluate statistical evidence in academic and popular settings.
Apply estimation, hypothesis testing, regression, correlation, and contingency table analysis.

Grades

Spring 2027 · Projected

Before grades are released

– average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 5 same-season terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

8 earlier forecasts · 0.27 GPA average error.

Grades over time

Through Spring 2027

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1280 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

Sources & history

UW–Madison

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.

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Selected offering source records

C&ESOC/SOC 360 · Spring 2027

Statistics for Sociologists I

Recorded 2026-10-14

C&ESOC/SOC 360 · Spring 2027

Statistics for Sociologists I

Recorded 2026-10-14

Raw records

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    "run_id": "20261014T203208-0851c9a1",
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    "offering_id": "1274:864:017572",
    "course_id": "C&ESOC/SOC 360",
    "course_uid": "course_dd2827718d9254cf91326619",
    "term_id": "1274",
    "source_course_id": "017572",
    "source_subject_id": "864",
    "title": "Statistics for Sociologists I",
    "credits_min": 4,
    "credits_max": 4,
    "typically_offered": "Fall, Spring"
  },
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:900:017572",
    "course_id": "C&ESOC/SOC 360",
    "course_uid": "course_dd2827718d9254cf91326619",
    "term_id": "1274",
    "source_course_id": "017572",
    "source_subject_id": "900",
    "title": "Statistics for Sociologists I",
    "credits_min": 4,
    "credits_max": 4,
    "typically_offered": "Fall, Spring"
  }
]

Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews

Download part 1

Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades

Model outputs & technical records

Qwen/Qwen3.8-27B

LLM outputs across runs

Download part 1

Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1 Download part 2

Model & dataset provenance

{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "b337853570b74aaf3aeec0dd65955e4a9cc8b6d7f3d0467e70e6e51f87e2e9ce",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}

Statistics for Sociologists I

Summary

What you’ll be able to do

Grade history

Prerequisites

Professors

Peter Rich

Calendar & sections

Student experience

the class

difficulty & workload

Topics

Skills

Grades

Spring 2027 · Projected

Grades over time

Where this course fits relative to UW–Madison

Sources & history

Catalog & offerings

Student reviews

Grade history

Where this course fits relative to