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Home  /  Six Sigma Study Guide Articles  /  Analyze

Category: Analyze

Analyze phase of DMAIC

Ted Hessing

One Sample T Hypothesis Test (Student’s T-Test)

Posted by Ted Hessing

One Sample T Hypothesis Test (Student’s T Test) are used to resolve hypothesis tests around comparing process means ( sample size to be <30)

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

F-Distribution, F-Statistic, F-Test

Posted by Ted Hessing

The F-distribution, also known Fisher-Snedecor distribution, is used to test for equality of variances from two normal populations.

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

What is the probability of a defect?

Posted by Ted Hessing

What is the probability of a defect? What statistical tools could you use to identify the probability of a defect occurring?

This entry was posted in 6 Sigma in Real Life, Analyze and tagged No content. Bookmark the permalink.
Ted Hessing

Goodness of Fit

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

Chi Square Distribution & Hypothesis Test

Posted by Ted Hessing

The chi square (χ2) distribution is the best method to test a population variance against a known or assumed value of the population variance

This entry was posted in Advanced Data Distributions, Analyze, Measure, Performing Hypothesis Tests with Non Normal Data and tagged ASQ, Black Belt, Breakup, Download, Green Belt, IASSC, QuestionSet, Villanova. Bookmark the permalink.
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