Spring 2027

Introduction to Biostatistics for Population Health

Introductory biostatistics course for population health researchers covering descriptive statistics, probability, inference, and power calculations.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 5

Recent recorded grades — Fall 2023: 3.70 GPA, 80.0% A/AB (n=10 letter grades); Fall 2024: 3.86 GPA, 100.0% A/AB (n=14 letter grades); Fall 2025: 3.81 GPA, 93.8% A/AB (n=16 letter grades).

What you’ll be able to do

  • Identify and recognize statistical and probability terminology, symbols, definitions, and formulas

  • Explain the meaning, assumptions, and interrelationships of statistical and probability concepts and formulas

  • Execute probability and statistical calculations from information provided

  • State assumptions, conclusions and interpretation in terms of statistical and probability computations

Source: UW Guide 1 UW Guide 2

Grade history

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average GPA
letter grades
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AB
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Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
BMI/POPHLTH 551 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Graduate/professional standing

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

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Student experience

the class

Recent recorded grades — Fall 2023: 3.70 GPA, 80.0% A/AB (n=10 letter grades); Fall 2024: 3.86 GPA, 100.0% A/AB (n=14 letter grades); Fall 2025: 3.81 GPA, 93.8% A/AB (n=16 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Descriptive statistics, elementary probability, and probability distributions.
  • One- and two-sample normal inference, including point estimation, hypothesis testing, and confidence intervals.
  • Power and sample size calculations.
  • Binomial inference, underlying assumptions, and diagnostic work.

Skills

  • Performing statistical inference including point estimation, hypothesis testing, and confidence intervals.
  • Conducting power and sample size calculations.
  • Interpreting statistical and probability computations.

Grades

Latest available · Fall 2025— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Fall 2025

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

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Original comments behind the course and instructor summaries.

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Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "bfb0a13ce98e2a016dabbd7740abfb7b1408f0b5e0d5c6c8e86f427e00316795",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}