MATH 510 - Applied Statistical Methods

(3 semester hours)
Prerequisites: None
Description: This is an applied statistics course with probability theory being presented but applicable statistics is emphasized. The course covers the statistical methods and models that practitioners require for use in their professions and is an applied course in regression, analysis of variance, and linear models which includes experience with the SAS statistical software package. Topics include descriptive statistics/data summaries, inference in simple and multiple linear regression, residual analysis, estimation and testing of hypothesis, transformations, polynomial regressions, model building with real data, nonlinear regression and linear models. This course is not mathematically advanced but covers a large volume of material.