Statistical Process Improvement Module 49

Summary

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 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 is the first of a series of 15 short lectures on the design and analysis of experiments for This lecture demonstrates the use of elementary confidence limits for a difference in proportions and for a mean difference in the ... 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 concerns the usefulness of simple This lecture presents rational choice of a 2^(p-q) fractional factorial and methodology for determining the corresponding ... This lecture introduces the topic of R&R for Go/No Go contexts and probability modeling that can be used to describe variation in ... This lecture treats a simple (non-standard but easy to understand)