A Control Chart (X-Bar-and-S Chart, the basic prototype of all Shewhart Control Charts) is a kind of open ended One-Way Analysis of Variance. Each new Subgroup is a new “Treatment.” If all of these subgroup treatments have the same population or process mean, then the process is “In Control.” If some of the subgroup treatments have different such means, then these are Special Causes and the process is “Out of Control.”
Usually the Special Causes are thought of as specific changes like Fixed Effects in Analysis of Variance. But much of the undercurrent of Special Causes is random. No one plans them or can predict them. If the Random Effects One Way Analysis of Variance is then the model for a Control Chart, then in effect we are dealing with Variance Components.
Variance Components is a good first step in analysis of a process before implementing a Control Chart.
Type III Error
Wednesday, May 20, 2009
Basic Statistics in an Industrial Setting and applied to Control Charts, mostly derived from Questions I am asked on the job as a Statistician
About Me
- Name: X-Bar
Professional Statistician. Ph.D. In Industrial Engineering, M.S. in Statistics, and B.S. in Mathematics.
Links
Previous Posts
- Archaeological Quality Control
- Mean
- Logic
- Folk Wisdom, Dogs, and Statistics
- Experts, Logic, and Experiment - A Plumbing Story
- A Control Chart (X-Bar-and-S Chart, the basic prot...
- Control Charts that are Not Control Charts
- Pi in IMR Chart
- Turnip Blood
- Normal Distribution and IX Charts
Archives