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Normality and Transformations (1/2-day)
This half day course is designed to help you handle variables sampling plans. Variables sampling plans assume the data fits the normal distribution and are relatively sensitive to departures from normality. This course teaches how to test for normality and how to handle situations when the data is not normal including fitting other distributions and transforming the data. This course is task orientated in that it provides all the knowledge and tools required to handle variables sampling plans. No prior knowledge or special background is required. It utilizes MINITAB, JMP or Distribution Analyzer software packages.
What You Will Learn
This course is designed for those individuals who have variables data and are responsible for either manufacturing or validation sampling plans. This includes engineers, manufacturing and quality supervisors, and management. No special statistical or mathematical background is required.
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Last modified: September 29, 2016