Basic Statistics for Social Work
Basic Statistics for Social Work covers statistical methods required for social work degrees, including distributions, standard error, regression, correlation, and experimental design.
Summary
What you’ll be able to do
Engage in Practice Informed Research and Research Informed Practice
Use basic statistical concepts in measurement, sampling, probability, and data description, presentation, and interpretation.
Apply various approaches to asking research questions, explore relationships between and among variables, and test hypotheses using basic bivariate and multivariate analytical techniques.
Develop foundational skills to be a critical consumer of empirical research involving quantitative data.
Source: UW Guide
Grade history
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Prerequisites
Course mapGraduate/professional standing or declared in the Preparation for Admission to Graduate or Professional School Program
- Graduate/professional standing or declared in the Preparation for Admission to Graduate or Professional School Program
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Graduate/professional standing or declared in the Preparation for Admission to Graduate or Professional School Program
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
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Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
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Meeting source records
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Student experience
the class
An overview of statistical methods covering the topics required for social work professional degrees, such as distributions, standard error, regression, correlation assumptions and limitations, and basic ideas of experimental design.
difficulty & workload
No workload feedback recorded.
Topics
- Distributions, standard error, regression, correlation assumptions and limitations, and basic ideas of experimental design.
- Measurement, sampling, probability, and data description, presentation, and interpretation.
- Asking research questions, exploring relationships between variables, and testing hypotheses using bivariate and multivariate techniques.
Skills
- Understand distributions, standard error, regression, correlation assumptions and limitations, and basic ideas of experimental design.
- Use basic statistical concepts in measurement, sampling, probability, and data description, presentation, and interpretation.
- Explore relationships between and among variables and test hypotheses using basic bivariate and multivariate analytical techniques.
- Be a critical consumer of empirical research involving quantitative data.
Grades
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Sources & history
Catalog & offerings
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Raw records
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Grade history
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Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
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"task_version": "17",
"output_id": "102f93c1408f5c4b0138cf5667a220b2af7dc5a9a3b5713329da9d27b158b4a4",
"requirements_status": "needs_review",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}