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Category: Analyze

Analyze phase of DMAIC

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

Sum of Squares (SS)

Posted by Ted Hessing

The Sum of Squares technique calculates a measure of the variation in an experiment. Used in Designed experiments and Anova.

This entry was posted in Analyze and tagged ASQ, Black Belt. Bookmark the permalink.
Ted Hessing

Regression Analysis

Posted by Ted Hessing

Regression Analysis is a way of estimating the relationships between different variables by examining the behavior of the system.

This entry was posted in Analyze, Correlation and Linear Regression and tagged ASQ, Black Belt, Green Belt, IASSC, QuestionSet. Bookmark the permalink.
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