An introductory course, which surveys everyday economic statistics and topics in descriptive and inferential statistics. The concentration is on applications to problems in economics. Topics include techniques for organizing and summarizing economic statistical data; random variables and probability distributions; sampling distributions; estimation and hypothesis testing, and a brief introduction to linear regression methods. Assignments and coding applications in R (a statistical programming language) will be part of the course.
Distribution Area
Students entering Fall 2024 or later: Quantitative Analysis (QA)
Students entering prior to Fall 2024: Quantitative Analysis (QU DIST)
Students entering prior to Fall 2024: Social Sciences (SO DIST)
Prerequisites
Economics 100, 101, or 102.