In the central composite design of Problem 12.11, two responses were obtained, the mean and variance of an oxide thickness. Use the Box-Cox method to investigate the potential usefulness of transformation for both of these responses. Is the log transformation suggested in part (c) of that problem appropriate?
Problem 12.11
An experiment has been run in a process that applies a coating material to a wafer. Each run in the experiment produced a wafer, and the coating thickness was measured several times at different locations on the wafer. Then the mean y1 and the standard deviation y2 of the thickness measurement were obtained. The data [adapted from Box and Draper (2007)] are shown in the Table P12.1:
(a) What type of design did the experimenters use? Is this a good choice of design for fitting a quadratic model?
(b) Build models of both responses.
(c) Find a set of optimum conditions that result in the mean as large as possible with the standard deviation less than 60.