Applied Statistics and Data Analysis

3 credit hours · Graduate

The objective of the course is to provide the student with an in-depth understanding of the most useful applied statistical techniques used in data analysis. Emphasis will be on designing, conducting, analyzing, and interpreting the results of research designs. Topics include a review of statistical inference, basic ideas of linear regression, multiple regression analysis, functional forms of regression models, and several practical aspects of the linear regression model. Extensive use is made of computer-oriented statistical packages.