Understanding Statistical Process Improvement Module 48
If you are looking for information about Statistical Process Improvement Module 48, you have come to the right place. This is a third lecture on the analysis of 2^p factorial experiments. It covers the use and interpretation of the output of the Yates ...
Key Takeaways about Statistical Process Improvement Module 48
- This is a second lecture on the analysis of complete two-way factorial data. Fitted main effects and fitted interactions are defined ...
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- This is an introductory lecture for the analysis of 2^p factorial data. Basic notation and conventions are described and applied to ...
- This lecture is the second part of a discussion of the Average Run Length as quantifying likely behavior
Detailed Analysis of Statistical Process Improvement Module 48
This is a second lecture concerning the analysis of 2^p factorial data. It concerns the definition of fitted effects: main effects, ... This is the fourth in the set of lectures on the analysis of 2^p studies. The use of simple "margins of error" (based on confidence ... This lecture is an introduction to the topic of fractional factorial experiment design and analysis.
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