Continuous improvement depends on selecting and using the proper tools to analyze the data that's generated by your processes. During our Statistical Analysis Techniques program, you'll learn to select the proper tools for the job and how to apply the tools to analyze data from your process. You will also learn of the risks associated with sampling and how to use sample data to draw conclusions about the population (without taking undue risks.)

Topics:

1. Basics
   1. Descriptive Statistics/ Normal Distribution
   2. Basic Probability/Binomial Distribution
   3. Sampling
   
2. Statistical Process Control
   4. Variables Control Charts
   5. Process Capability/Sampling Distributions of Averages and Ranges
   6. Pre-Control/Attributes Control Charts
   7. Hypothesis Testing [Means]/CI [Means]
   8. Variables/Setting Specs
   
3. Beyond SPC
   9. Statistical Inference
   10. Variation Analysis
   11. Concept of ANOVA
   12. Multi-Vari Testing
   13. Component Search
   14. Variable Search
   15. Components of Variance
   16. Crossed and Nested Tests
   17. Regression and Correlation
   18. Basic DOE
   19. Factorial Experiments
   20. Fractional Factorials
   
4. Topics of Special Interest
   21. Sample Size
   22. Non-Parametric Stats

Suggested audience:  Supervisors and Managers, Process, Design and Quality Engineers, Inspectors and Testers