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Experimental Design

Experimental design techniques are designed to discover what factors or interactions have a significant impact on a response variable. Our SPC for Excel provides an easy-to-use design of experiments (DOE) methodology in the Excel environment you know.

The software contains two-level full factorial designs (up to 7 factors), fractional factorial designs (29 different designs, up to 15 factors), and Plackett-Burman designs (up to 27 factors).

The output includes the ANOVA table for the factors and interactions, the model in both coded and uncoded format, normal and half-normal plot of effects and much more. A complete list of features is given below.

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Experimental Design Features

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