Statistical Models and Methods

Catalog description

This course offers an introduction to the basic statistical techniques used to analyze and interpret data in scientific research. Emphasis is on statistical reasoning and applications of statistical methods including graphical visualization, estimation and hypothesis testing, categorical data analysis, non-parametric methods, analysis of variance, regression, and correlation Lecture Hours: 3 Repeatability: May not be repeated for credit. Grade Mode: Normal, Audit Program Restrictions: DPHIL_BIOS, MS_BIOS, MS_DSCI Campus Restrictions: Main Campus Schedule Type (Primary): Lecture Schedule Type (Additional): Asynchronous Instruction Click here for the Schedule of Classes.