STATISTICS: MEASUREMENT IN ECONOMICS
Introduction to analysis of economic data. The techniques of descriptive statistics and statistical inference (hypothesis testing and estimation) as directed toward application in economic research.
Prerequisites & course information
Requisites: ( ECON 101 , 102 , or 111 ) and ( MATH 211 , 217, or 221 ) Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Comm QR - Quantitative Reasoning B Level - Intermediate L&S Credit - L&S Liberal Arts and Science Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Apply probability theory to model the likelihood of uncertain events. Audience: Undergraduate 2. Use software to apply statistical techniques to the analysis of economic data. Audience: Undergraduate 3. Interpret tables, graphs and statistics used to summarize data. Audience: Undergraduate 4. Estimate the true value of unknown parameters using point and interval estimators. Audience: Undergraduate 5. Critically evaluate interpretations of statistical estimates and resulting inferences. Audience: Undergraduate 6. Test theories by determining an appropriate test statistic, implementing a formal hypothesis test, and interpreting the outcome. Audience: Undergraduate Learning Outcomes: 1. Apply probability theory to model the likelihood of uncertain events. Audience: Undergraduate 2. Use software to apply statistical techniques to the analysis of economic data. Audience: Undergraduate 3. Interpret tables, graphs and statistics used to summarize data. Audience: Undergraduate 4. Estimate the true value of unknown parameters using point and interval estimators. Audience: Undergraduate 5. Critically evaluate interpretations of statistical estimates and resulting inferences. Audience: Undergraduate 6. Test theories by determining an appropriate test statistic, implementing a formal hypothesis test, and interpreting the outcome. Audience: Undergraduate
Sources
- Course catalogue ↗2026-2027