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 MIT HST.S14 Health Information Systems to
This video introduces
Summary & Highlights for Statistical Process Improvement Module 46
- 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 demonstrates the use of elementary confidence limits for a difference in proportions and for a mean difference in the ...
- This lecture presents rational choice of a 2^(p-q) fractional factorial and methodology for determining the corresponding ...
- This is a second lecture on the analysis of complete two-way factorial data. Fitted main effects and fitted interactions are defined ...
- This lecture introduces the "one-way random effects" (probability) model that stands behind the standard intermediate level ...
That wraps up our extensive overview of Statistical Process Improvement Module 46.