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Six Sigma Study Guide

Six Sigma Study Guide

Study notes and guides for Six Sigma certification tests
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Home  /  Six Sigma Study Guide Articles  /  Author: Ted Hessing

Author: Ramana PV

Ted Hessing

Bimodal Distribution

Posted by Ted Hessing

A bi-modal distribution has two modes. In other words, outcome of two processes with different distributions are combined in one set of data.

This entry was posted in Measure and tagged ASQ, Black Belt, Green Belt, IASSC, QuestionSet, Villanova. Bookmark the permalink.
Ted Hessing

Specification Limits

Posted by Ted Hessing

Specification limits are set by the customers; often, Voice of the Customer is referred to as the customer specification limits.

This entry was posted in Control, Measure, Process Capability and tagged ASQ, Black Belt, Green Belt, IASSC, Ramana, Villanova. Bookmark the permalink.
Ted Hessing

Chi-Square Goodness of Fit Test

Posted by Ted Hessing

A Chi-Square goodness of fit test tells how well a categorical (nominal or ordinal) sample distribution fit into a hypothetical distribution.

This entry was posted in Analyze, Performing Hypothesis Tests with Non Normal Data and tagged ASQ, Black Belt, Download, IASSC, Villanova. Bookmark the permalink.
Ted Hessing

Financial Measures in Six Sigma

Posted by Ted Hessing

Learn how to analyze your Six Sigma projects using financial measures. This will give you insight into the wider effects of your efforts.

This entry was posted in Define, Project Selection and tagged ASQ, Black Belt, Green Belt, IASSC, QuestionSet, Villanova, Yellow Belt. Bookmark the permalink.
Ted Hessing

Normal Probability Plot

Posted by Ted Hessing

The normal probability plot is a graphical technique for normality testing. Used to assess data set follows normal distribution.

This entry was posted in Additional Graphical Analysis Tools, Measure and tagged ASQ, Black Belt, Green Belt, IASSC, Villanova. Bookmark the permalink.
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