(formerly Quantitative Analysis for Economics and Management) Application of elementary principles of traditional and modern statistical analysis to economic and business decision-making. Emphasis is on regression analysis using simple- and multiple-equation models, hypothesis testing, use of dummy variables, testing for serial correlation and other related problems. Prerequisite: ECON 100. Students who have completed BIO 275 or 375, MATH 141, MATH 247 or PSY 214 will receive only one-half credit for ECON 350.
|Science and Mathematics||ECON 100. Students who have completed BIO 275 or 375, MATH 141, MATH 247 or PSY 214 will receive only one-half credit for ECON 350.||1 course|
Fall Semester informationJarrod Hunt
350A: Statistics for Econ&Mgmt
350B: Statistics for Econ&Mgmt