Introduction to Split Plot Experiments With Factor Dependent Whole Pot Sizes

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Summary & Highlights for Split Plot Experiments With Factor Dependent Whole Pot Sizes

  • Pat Whitcomb, Stat-Ease founder, illustrates how to take best advantage of designs geared for hard-to-change process settings.
  • Lecture 8 - Video 4.
  • Main
  • We demonstrate how to set up a factorial protocol in ARM and enter treatment information, then view a
  • This is the eight in the series of my videos on the 'Designs of

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