Ray Littlejohn

As a statistics 'samurai', slice through data sets to discover the truths hidden within.

EMEN 5610
Advanced Statiscal Methods for Engineering Research
Ray Littlejohn

This course combines intermediate and advanced statistical methods (specifically Two- and Three-Way ANOVA) with practical research applications and the use of computer software. It also explains and gives practical experience in the use commonly used statistical experimental design models including Two and Three-Way Analysis of Variance 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 statistical software programs. Designs covered involve treatment factors that are both Fixed and Random, designs where the treatment factors are either Fixed, Random, or Mixed, and are either crossed or nested. Designs involving blocked factors and designs with unequal sample size are also given full treatment. Methods of assessing test assumptions, as well as testing for treatment effects on dispersion as well as location are covered in detail. Nonparametric methods for the analysis of designs involving criterion measures that are either continuous but violate assumptions, or are ordinal or nominal scale variables are also covered.

There is a preparation quiz for each of the 9 instructional units, 9 comprehensive homework assignments, a final exam, and also a team based final project that are required and make up the final grade this course. 

A rigid prerequisite for this course is EMEN 5900.

  • Introduction & Course Requirements - Syllabus - Content outline - Assignments / papers - Suggested support references - Using eCollege: mail & assignment submissions
  • The Design & Analysis of Factorial Experiments for 2 Factors - Model I, Model II, and Model III Applications;
  • Fully Crossed and Nested Analyses - Common Transformations
  • The Design and Analysis of Factorial Experiments with 3 or More Factors - Model I, Model II, and Model III Applications;
  • Fully Crossed and Nested Analyses - AET Determination - Quasi- and Pseudo-F Ratios Review of Simple regression and correlation
  • Additional Measures of Relationship - Special-Purpose Indices and Methods for Correlation and Association
  • Non-Linear Regression Analysis
  • Introduction to Multiple Regression Analysis

This course is intended to serve as the second course in a four-course sequence (not including EMEN 5005, which is a prerequisite to the initiation of the Certificate) in Managing Applied Research in Technology. At the conclusion of this course, the student should possess the ability to perform required statistical analyses for virtually any univariate application in a business / industrial setting.

Requires prerequisite course of EMEN 5900 (minimum grade B). Restricted to College of Engineering graduate or Graduate Certificate Engineering (CRTGE) students only.

None. All support materials supplied by instructor.

Software: MVPStats; SPSSPc for Windows

EMEN 5610
Any syllabus provided above may not be the most recent version. Please refer to the course syllabus provided by the instructor of this course.

Ray LittlejohnRay Littlejohn
Professor of Engineering Practice
Office: ECOT 414

Dr. Ray Littlejohn joined the EMP in August, 2012 as an Associate Professor of Engineering Practice and the W. E. Deming Professor of Management. Dr. Littlejohn received his PhD in Applied Statistics from the University of Oklahoma in 1977. Subsequently he began a teaching career at North Central College and began consulting with The R Group, LTD in the areas of Market Research and Forecasting. After approximately 5 years of teaching and consulting Dr. Littlejohn joined Sealed Power Corporation as a statistician where he introduced the use of SPC and Experimental Design. He was subsequently promoted to Quality Assurance Manager for Sealed Power Division of Sealed Power Corporation.

In 1982 Dr. Littlejohn joined Luftig & Warren International, Inc. a consulting firm that specialized in providing consulting services and training in all areas of the Quality Sciences throughout North and South America, Asia, and Europe. His work as a senior consultant with LWI involved the entire breadth of topics in the areas of business and quality improvement, including product and process improvement through the application of sophisticated problem solving techniques and advanced statistical and research methods. He also provided training to the firm’s many clients in all aspects of the application of statistics, and business and industrial research methodologies through 1998.

After leaving LWI, Dr. Littlejohn’s consulting activities included training and consulting activities in experimental design and industrial research, customer survey analysis, business system development and improvement, business, manufacturing and administrative product and process improvement, process control, and statistical start-ups. Dr. Littlejohn provided these services to businesses engaged in metal processing, food and beverage, electronics / high tech manufacturing and assembly, ink and chemical, automotive and truck suppliers, mining, HMO service and miscellaneous other industries.