BASIC STATISTICS FOR SOCIAL WORK
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.
Prerequisites & course information
Requisites: Graduate/professional standing or declared in the Preparation for Admission to Graduate or Professional School Program Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Summer 2026 Learning Outcomes: 1. Engage in Practice Informed Research and Research Informed Practice Audience: Graduate 2. Use basic statistical concepts in measurement, sampling, probability, and data description, presentation, and interpretation. Audience: Graduate 3. Apply various approaches to asking research questions, explore relationships between and among variables, and test hypotheses using basic bivariate and multivariate analytical techniques. Audience: Graduate 4. Develop foundational skills to be a critical consumer of empirical research involving quantitative data. Audience: Graduate Learning Outcomes: 1. Engage in Practice Informed Research and Research Informed Practice Audience: Graduate 2. Use basic statistical concepts in measurement, sampling, probability, and data description, presentation, and interpretation. Audience: Graduate 3. Apply various approaches to asking research questions, explore relationships between and among variables, and test hypotheses using basic bivariate and multivariate analytical techniques. Audience: Graduate 4. Develop foundational skills to be a critical consumer of empirical research involving quantitative data. Audience: Graduate
Sources
- Course catalogue ↗2026-2027