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Stat-Ease Blog

  • Two-level factorial designs are highly effective for discovering active factors and interactions in a process, and are optimal for fitting linear models by simply comparing low vs high factor settings. Super-charge these classic designs by adding center points!
    (Read to the end for a bonus video clip!)

    Picture1 Cpts Continue reading