I'm running a split-plot, 18 factor, mixed level DOE. There will be ~20 complex Y's as outputs. Each test will create a lot of output data for each Y variable. To simplify analysis, I will calculate scalar means and variances for each Y variable for each test. It seems straightforward to use scalar Y means data to perform analysis, such as Fit Model. Intuitively, just using the means data doesn't take advantage of the known variances of each test's means. How do I perform analysis of my sampled means and include the effects of the variances, associated with each mean point? Thanks, Paul
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