Introduction to Statistical Process Improvement Module 49
Exploring Statistical Process Improvement Module 49 reveals several interesting facts. 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 ...
Statistical Process Improvement Module 49 Comprehensive Overview
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 ... This lecture is an introduction to the topic of fractional factorial experiment design and analysis. This is a second lecture concerning the analysis of 2^p factorial data. It concerns the definition of fitted effects: main effects, ...
This lecture treats a simple (non-standard but easy to understand)
Summary & Highlights for Statistical Process Improvement Module 49
- This
- This lecture discusses Shewhart control charts for counts of non-conforming outcomes, i.e. p charts and np charts.
- In this
- This lecture discusses Shewhart control charts for mean non-conformities per unit, u charts and c charts.
- This short video introduces basic probability modeling of measurement that supports the use of methods of
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