ECON-227

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. Prerequisites: Economics 100 or Economics 101 or Economics 102.

Academic Credit, Social Science, DIST-SOCIAL SCIENCES, DIST-QUANTITATIVE ANAL., Academic Evaluate Course, Academic Evaluate Course, Quantitative Analysis '23