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Home  /  Six Sigma Study Guide Articles  /  Analyze

Category: Analyze

Analyze phase of DMAIC

Ted Hessing

Scatter Diagrams (Plots), Analysis & Regression

Posted by Ted Hessing

A Scatter Analysis is used when you need to compare two data sets against each other to see if there is a relationship.

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

Linear Regression

Posted by Ted Hessing

Linear regression is a statistical technique to estimate the relationship between a dependent variable and an independent variable.

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

T Distributions & T Tests

Posted by Ted Hessing

The T distribution and T tests are used to determine the likelihood of various conditions occurring for small sample sizes (<=30).

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

ANOVA Analysis of Variation

Posted by Ted Hessing

Analysis of Variance (ANOVA) is a parametric statistical technique that compares data sets. They evaluate the means of three or more factors.

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

Root Cause Analysis

Posted by Ted Hessing

Root cause analysis is a collection of tools and processes used to determine the most important causes for an issue we are trying to resolve.

This entry was posted in Analyze, Root Cause and Gap Analysis and tagged ASQ, Black Belt, Green Belt, Villanova, Yellow Belt. Bookmark the permalink.
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