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, ... This 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 video introduces
Summary & Highlights for Statistical Process Improvement Module 46
- This is the first in a series of short lectures on the subjects of statistical quality assurance and
- This lecture demonstrates the use of elementary confidence limits for a difference in proportions and for a mean difference in the ...
- This is the first of two lectures on the topic of "
- This lecture is an introduction to the topic of fractional factorial experiment design and analysis.
- This is the first of a series of 15 short lectures on the design and analysis of experiments for
That wraps up our extensive overview of Statistical Process Improvement Module 46.