Introduction to Statistical Process Improvement Module 46
Let's dive into the details surrounding Statistical Process Improvement Module 46. This is an introductory lecture for the analysis of 2^p factorial data. Basic notation and conventions are described and applied to ...
Statistical Process Improvement Module 46 Comprehensive Overview
This is a second lecture concerning the analysis of 2^p factorial data. It concerns the definition of fitted effects: main effects, ... On a process This video introduces
This lecture discusses Shewhart control charts for mean non-conformities per unit, u charts and c charts.
Summary & Highlights for Statistical Process Improvement Module 46
- 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 ...
- SPC is method of measuring and controlling quality by monitoring the manufacturing
- This is a third lecture on the analysis of 2-way factorial data. The subject of developing "margins of error" to attach to fitted main ...
- This lecture is the second part of a discussion of the Average Run Length as quantifying likely behavior
- This is a second lecture on the analysis of complete two-way factorial data. Fitted main effects and fitted interactions are defined ...
That wraps up our extensive overview of Statistical Process Improvement Module 46.