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Apr 16, 2015 11:57 AM
(554 views)

I am planning experiments on a process that produces parts in batches.

Let's say I have a 2 factor, 2 level full factorial. There will be a batch of each part produced under one of the 4 condition runs.

To determine the mean response for each run I will randomly select N parts from the batch for testing to determine mean and SD.

My mean response values will be used to evaluate effects but how does the SD (or variance) of my testing sample size N enter into the overall estimation of the effects, i.e. how does it affect prediction variance? It's not clear to me how this is worked into the Evaluate Design platform in JMP.

Note this particular instance expectation is that the variance will be relatively constant over the design region and can be estimated before hand. Testing of individual parts is destructive.

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Apr 17, 2015 7:10 AM
(434 views)

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Apr 20, 2015 11:53 AM
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