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. Precludes additional credit for STAT 2607, ECON 2202. Prerequisite(s): i) STAT 2507 and ii) Grade 12 Mathematics (Geometry and Discrete Mathematics), or MATH 0107; or equivalents; or permission of the School.Lectures three hours a week, laboratory one hour a week.
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. Precludes additional credit for STAT 2607, ECON 2202. Prerequisite(s): i) STAT 2507 and ii) Grade 12 Mathematics (Geometry and Discrete Mathematics), or MATH 0107; or equivalents; or permission of the School.Lectures three hours a week, laboratory one hour a week.