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Home  /  Six Sigma Study Guide Articles  /  Analyze

Category: Analyze

Analyze phase of DMAIC

Ted Hessing

Non-Parametric Hypothesis Tests and Data Analysis

Posted by Ted Hessing

You use non-parametric hypothesis tests when you don’t know, can’t assume, and can’t identify what kind of distribution your have.

This entry was posted in Analyze and tagged ASQ, Black Belt, IASSC, non-parametric, QuestionSet. Bookmark the permalink.
Ted Hessing

Multiple Linear Regression

Posted by Ted Hessing

Multiple linear regression is an extension to methodology of simple linear regression. It is used to study more than two variables.

This entry was posted in Analyze, Multiple Regression Analysis and tagged ASQ, Black Belt, IASSC, QuestionSet. Bookmark the permalink.
Ted Hessing

Non-Linear Regression, aka Attributes Data Analysis

Posted by Ted Hessing

A Non-Linear Regression is a statistical analysis tool used to model complex datasets and express them as mathematical functions.

This entry was posted in Analyze, Multiple Regression Analysis and tagged ASQ, Black Belt, Green Belt, IASSC. Bookmark the permalink.
Ted Hessing

Graphical Analysis

Posted by Ted Hessing

Graphical analysis is one of the critical aspects of Six Sigma projects. It is an effective way to visualize data patterns.

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

Multi-Vari Study, Multi-Vari Charts

Posted by Ted Hessing

The multi-vari chart shows you variation by separating it into three possible sources (within-piece, piece-to-piece, and time-to-time.)

This entry was posted in Analyze, Multi-Vari and tagged ASQ, Black Belt, Green Belt, IASSC, QuestionSet, Villanova. Bookmark the permalink.
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