How to Interpret Probability Plots
Instructor:
Jerry Phillips
Product ID: 705161
- Duration: 90 Min
Why Should You Attend:
Have you ever exclaimed, “OH NO, my data is NOT NORMAL”? Fitting the appropriate distribution to your data is critical to accurately estimating product reliability, capability of a process, or meeting distributional assumptions for statistical analysis. Failure to identify the appropriate data distribution could result in false acceptance or product claims.
Attend this webinar to understand 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. A multitude of examples will be provided to diagnosis various data patterns that probability plots display. Guidelines on identifying candidate distributions will also be provided with respect to historical applications, range and skewness of the data. Statistical tests for goodness of fit will also be discussed as a supplement to the probability plot. Graphical output from Minitab® will be used.
Learning Objectives:
- Interpret probability plots for symmetry, skewness and multiple populations
- When to use appropriate Statistical Test for Distribution Fitting
- Identify candidate distributions and determine best fitting distribution to estimate product reliability or process percent defective.
Areas Covered in the Webinar:
- Graphical Tools used to verify distribution assumptions (Histograms, Box-plots, Probability Plots)
- Interpreting probability plots (e.g. Normal, skewed, bi-modal)
- Interpreting Statistical tests for normality (Anderson-Darling, Ryan-Joiner, Kolmogorov-Smirnov)
- Probability distributions (e.g. Normal, Lognormal, 3-Parameter Weibull)
- Normalizing Transformations (e.g. Box-Cox, Lognormal, Johnson)
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. Jerry recently retired as Sr. Manager., Biostatistics, from Baxter Healthcare Corporation, a highly-regulated manufacturer and distributor of disposable infusion systems and hardware devices. During his 35+ 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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