Statistical Process Improvement Module 48

Summary

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 is a second lecture concerning the analysis of 2^p factorial data. It concerns the definition of fitted effects: main effects, ... This lecture is an introduction to the topic of fractional factorial experiment design and analysis. 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 presents rational choice of a 2^(p-q) fractional factorial and methodology for determining the corresponding ... This lecture demonstrates the use of elementary confidence limits for a difference in proportions and for a mean difference in the ... Quality cannot be inspected into a product; it must be built into it. Discover how This is the first of a series of 15 short lectures on the design and analysis of experiments for This is an introductory lecture for the analysis of 2^p factorial data. Basic notation and conventions are described and applied to ... This lecture discusses the making of normal plots and their use in