Jim Filliben
National Institute of Standards and Technology
Washington, D.C.

"Tukey and EDA: Reflections, Principles, & Applications"

Abstract
This talk has three parts. In the first part, I share a collection of personal reflections of John Tukey from the vantage point of a graduate student working under him in the early Princeton years.
In the second part I discuss core principles of data analysis that John practiced, taught, and instilled into every one of his "disciples", and which serve daily as the backdrop for the what, why, and how of exploratory data analysis.
In part three of this talk, I put these general principles in action via a specific industrial problem involving 2-level factorial designs. I discuss the "classical" approach to this problem (taught as standard fare in many "design of experiment" university courses), and I contrast it with a more Tukey-esque approach-maximizing insight and squeezing the data dry of all relevant information-by the judicious application of one after another of Tukey's principles.