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Why Design Experiments? The complete 7-part blog series.

Design of Experiments (DoE) is one of the most important data science tools for scientists and engineers.


I set out to write a series of blog posts to demystify DoE with simple explanations of some of the terms and concepts that can be confusing for people when they are starting out. Click here for links to all 7 posts in the series. I recommend you start with reason #1.




I discussed each of the blog posts in a series of JMP On Air segments: Reason 1 , Reason 2 , Reason 3 , Reason 4 , Reason 5 , Reasons 6 and 7.


For anyone that wants to look at how the experiment was designed and play with the actual data that was collected (again, thanks to Camilla and Jonathan at Anatune) I have attached jmp data tables.

Last Modified: Jun 1, 2020 5:55 AM