Economic Data Analysis

Catalog description

Credits 3. 3 Lecture Hours. Introduction to statistical methods and data analysis in economics; covers descriptive statistics, probability theory and the principles of statistical inference as foundations for empirical research; introduces data management and analysis techniques using spreadsheet and statistical software; emphasizes hypothesis testing and the fundamentals of regression analysis; develops skills for summarizing, visualizing and interpreting economic data to draw evidence-based conclusions about real-world economic relationships. Prerequisites: Grade of C or better in MATH 142 , MATH 151 , or MATH 171 ; junior or senior classification, or approval of instructor.