Combines intermediate and advanced statistical methods with practical research applications. Develops commonly used statistical models such as Two and Three-Way Analysis of Variance and the analysis of Fractional Factorial Designs for the solution of common business and industrial research problems. The statistical models are implemented and interpreted in the context of actual data sets using available statistical software. Meets with APPM 7400b.

Simple Regression and Correlation Additional Measures of Relationship (Association and Correlation) Introduction to Multiple Regression Analysis Additional Topics in Multiple Regression Analysis Assessing the Assumptions of the Multiple Regression Model Special Topics in Multiple Regression Analysis Introduction to Fractional Factorial Designs & Considerations Related To Conducting Screening Experiments * The Fractional Design - Basic Theory * Developing of Extreme Screening Designs : Plackett-Burnham Matrices * Developing High Resolution Designs * Extending the Latin Square : Orthogonal Arrays Introduction to Data Mining

This course is intended to serve as the second course in a four-course sequence in Managing Applied Research in Technology. As the second course in this sequence, more advanced statistical methods than those presented in EMEN 5005 will be investigated. Additionally, nonparametric analyses equivalent to the parametric applications included in EMEN 5005 will also be presented. At the conclusion of this course, the student should possess the ability to perform required statistical analyses for any univariate application in a business / industrial setting.

MVPStats & SPSSPc (The student will already have MVPStats from EMEN 5610 and has the discretion to purchase SPSSPc, which is available on computer stations in the College of Engineering)