* Boxplots - A quick visual for comparing multiple datasets
* Anderson-Darling and Doornik-Hansen Test - To determine if a dataset can be treated as a Normal Distribution
* t-Tests (Normal) or 1-Sample Sign Test (Non-Normal) - To determine if the Mean or Median are significantly different
* Bartlett's (Normal) or Lavene's (Non-Normal) - To determine if the variances are significantly different
* Data Transformations - To convert Non-Normal Datasets into Normal Distributions.
* Histograms and Process Capability Tools - To determine if the long-term Process Capability Index demonstrates that a manufacturing process is Six Sigma Capable, High Capability, Low Capability or Not Capable.
What tools have you used for your company and industry?
Thank you in advance for sharing your Process Validation expertise with me and the ASQ community.
That's a great list that I agree with whole-heartedly. I also commonly used one and two ANOVA when comparing methods, additives or other proposed process improvements. Going into detail on a complex scrap or rework problem using a combination of Pareto diagrams and p or np charts has been enormously useful. Those tools helped us point the more powerful tools of variables control charts and even Design of Experiments in the right direction to do the most good.