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One factor designs, also called "one factor at a time" (OFAT) or one-way analysis of variance (ANOVA), are used to determine if a particular factor has an effect on an output or response. This approach allows you to take a detailed look at the effect of the factor (using up to 255 levels), and it helps you determine whether a change in output is due to a change in the input (level) instead of random error.
Note that the factor in a one factor design must be configured as a qualitative factor. For this reason, predictions cannot be made for factor levels that are not tested, nor can one factor designs be used for optimization.
The information presented in these topics is not intended to be an exhaustive discussion of the software. Rather, it offers a summary of each design type along with notes on any special considerations for creation/use of the design and information on the types of analysis information and plots available. It is intended to be used in conjunction with the documentation on design folios.
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