Statistical Process Improvement Module 54

Summary

This lecture presents rational choice of a 2^(p-q) fractional factorial and methodology for determining the corresponding ... Quality cannot be inspected into a product; it must be built into it. Discover how This lecture discusses the analysis of data from a standard half fraction of a 2^p factorial study. This lecture is an introduction to the topic of fractional factorial experiment design and analysis. This lecture demonstrates the use of elementary confidence limits for a difference in proportions and for a mean difference in the ... This is a brief video concerning the use of fishbone/Ishikawa/cause-and-effect diagrams and flow charts in basic 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 is a second lecture concerning the analysis of 2^p factorial data. It concerns the definition of fitted effects: main effects, ...