A data-driven approach to statistical modeling. Basics of experimental design, analysis of variance, simple linear regression and correlation, nonparametric procedures. A statistical software package will be used. Includes: Experiential Learning Activity Precludes additional credit for DATA 1519, ECON 2202, ECON 2220 (no longer offered), ECON 3210, STAT 2602, STAT 2607. Prerequisite(s): STAT 2507 or STAT 2601 or STAT 2606 or STAT 3502; or permission of the School. Lectures three hours a week, laboratory one hour a week. 1486 Courses
A data-driven approach to statistical modeling. Basics of experimental design, analysis of variance, simple linear regression and correlation, nonparametric procedures. A statistical software package will be used. Includes: Experiential Learning Activity Precludes additional credit for DATA 1519, ECON 2202, ECON 2220 (no longer offered), ECON 3210, STAT 2602, STAT 2607. Prerequisite(s): STAT 2507 or STAT 2601 or STAT 2606 or STAT 3502; or permission of the School. Lectures three hours a week, laboratory one hour a week. 1486 Courses
