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Abstract
The purpose of this paper is to show some of the many things one can learn about the adequacy of a proposed experimental plan before any data are collected. These permit one to evaluate whether a suggested design is appropriate and to compare alternative possible designs. The discussion deals with experiments involving controlled variables which are quantitative and which are to be related to the response variable by a least squares regression fit. A recently developed computer program which permits easy implementation of the procedures is indicated. The evaluations are illustrated in detail by a numerical example.
Additional information
Notes on contributors
Gerald J. Hahn
Dr. Hahn is Manager, Statistics Program, Corporate Research and Development, General Electric Company. He is a Fellow of ASQC.
William Q. Meeker
Dr. Meeker is an Assistant Professor in the Statistics Department of the Iowa State University. He was formerly associated with the Industrial Administration Institute of Union College and General Electric Corporate Research and Development.
Paul I. Feder
Dr. Feder is an Associate Professor in the Statistics Department of the Ohio State University. He is a former employee of General Electric Corporate Research and Development. He is a Member of ASQC.
