Reverse CTA vs. Five-Factor Factorial ANOVA: Purifying a Crystalline Product

Paul R. Yarnold

Optimal Data Analysis, LLC

A five-factor factorial experiment was conducted to assess aspects of the manufacturing process that affected product quality. All factors were binary, and each of the 32 cells in the design had N = 1. The findings of analyses using factorial ANOVA versus using reverse CTA to identify factors influencing quality are contrasted.

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