In a two-level full factorial design, each experimental factor has only two levels. The experimental runs include all combinations of these factor levels. Although two-level factorial designs are unable to explore fully a wide region in the factor space, they provide useful information for relatively few runs. Because two-level factorials can indicate major trends, you can use them to provide direction for further experimentation. For example, when you need to further explore a region where you believe optimal settings may exist, you can augment a factorial design to form a central composite design.

 

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