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Home  /  Six Sigma Study Guide Articles  /  Author: Ted Hessing

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Ted Hessing

Mood’s Median Non Parametric Hypothesis Test

Posted by Ted Hessing

Mood’s median non parametric hypothesis test compares the medians of two independent samples to determine if they are the same.

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

Kruskal–Wallis Non Parametric Hypothesis Test

Posted by Ted Hessing

The Kruskal–Wallis Non-Parametric Hypothesis Test is used when a variable does not meet the normality assumptions of one-way ANOVA

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

Mann-Whitney Hypothesis Test

Posted by Ted Hessing

Mann-Whitney Non Parametric Hypothesis Test is used to compare two sample means that come from the same population.

This entry was posted in Analyze, Performing Hypothesis Tests with Non Normal Data and tagged ASQ, Black Belt, Green Belt, IASSC, non-parametric, QuestionSet. Bookmark the permalink.
Ted Hessing

Team Dynamics, Mechanics & Communications

Posted by Ted Hessing

Team Dynamics, Mechanics & Communications is divided into what teams do (meetings, process) and how they do it (decision making).

This entry was posted in Define, Team Management Basics and tagged ASQ, Black Belt, Green Belt, Villanova, Yellow Belt. Bookmark the permalink.
Ted Hessing

Evolutionary Operations Methodology (EVOP)

Posted by Ted Hessing

Evolutionary operations methodology are also referred as EVOP is a statistical method of design of experiment (DOE) to improve the process.

This entry was posted in Implementation Planning, Improve and tagged Black Belt, Villanova. Bookmark the permalink.
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