How to Analyze PQ Data with Multiple Populations/ Failure Modes using Minitab®
Instructor:
Jerry Phillips
Product ID: 705281
- Duration: 90 Min
Why Should You Attend:
If all transformations and distributions fail to fit your data, then the likely root cause is multiple populations or failure modes. Multiple failure modes frequently occur in reliability testing to failure. For example, performing a pull test to failure on a solvent bond junction may result in the material breaking or the bond separating; resulting in at least two populations. Attend this webinar if you need to estimate product reliability for data with multiple populations or failure modes.
The probability plot is a powerful graphical tool that assists in diagnosing whether the data is 1) normal, 2) skewed or 3) contains multiple populations. Examples will be provided on how to estimate the reliability of data with multiple populations. The statistical analysis and graphical output from Minitab® v17 will be provided.
Areas Covered in the Webinar:
- Graphical tools used to identify multiple populations (Histograms, Box-plots, Probability Plots)
- Estimating reliability for multiple populations using Minitab® v17
- Interpreting and writing reliability statements
Who Will Benefit:
- Quality professionals
- Regulatory professionals
- Compliance professionals
- Manufacturing engineers
- Production engineers
- Design engineers and managers
- Quality engineers
Jerry Phillips
Statistical Consultant, Phillips Statistical Consulting LLC
Jerry Phillips, M.S. Statistics, is the president and founder of Phillips Statistical Consulting, LLC. He formerly worked for Baxter Healthcare Corporation, a highly-regulated manufacturer and distributor of disposable infusion systems and hardware devices. During his 30+ year tenure, he participated on cross-functional teams that included engineering, manufacturing, quality and medical professionals to development new products that meet regulatory requirements.
Jerry also developed and delivered statistical training worldwide that enabled thousands of engineers and scientists to interpret and report statistical results in lay terms. He is continuing to provide statistical consulting and training services through Phillips Statistical Consulting, LLC.
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