Ph.D., 1989, Clemson University
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| STATEMENT OF RESEARCH INTERESTS | SELECTED PUBLICATIONS |
STATEMENT OF RESEARCH INTERESTS
I was originally and continue to be drawn to statistics because it provides a way to describe many things in the world quantitatively. Just about any activity can be defined in terms of a process. Statistical methods allow us to analyze process data through the understanding of variation and provide guidance for us to proactively improve a process. I am particularly interested in the application of multivariate methods and data visualization techniques to quality improvement efforts in the industrial processes.In working as a consultant with managers and engineers in the automotive, semiconductor, medical device, and a variety of other industries, I have discovered that people’s different learning styles make the communication of statistical concepts challenging. Often a carefully crafted graphical display can help in expressing statistical information and can vastly enhance one’s understanding. A picture can be worth a thousand stats!
Statistical thinking, however, embodies more than just a graphical approach. Effective decision making requires thinking from both sides of the brain: the intuitive right side and the logical left side. Therefore, I feel that applied statistics courses should contain both creative and analytical elements that appeal to both channels of thinking.