The course emphasizes the use of multiple regression analysis, analysis of variance and related techniques to analyze data in a variety of situations. Topics include least squares estimation, multiple regression, model selection techniques, detection of influential points and goodness-of-fit criteria. Practical applications are implemented using a modern, widely available statistical package (JMP). Students gain an understanding of statistical concepts and models.