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Home  /  Six Sigma Study Guide Articles  /  Posts Tagged: Villanova

Tag: Villanova

Ted Hessing

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

Hypergeometric Distribution

Posted by Ted Hessing

A Hypergeometric Distribution is used to test probabilities for dependent trials. Learn what’s needed for Six Sigma certification.

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

Bimodal Distribution

Posted by Ted Hessing

A bi-modal distribution has two modes. In other words, outcome of two processes with different distributions are combined in one set of data.

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

Specification Limits

Posted by Ted Hessing

Specification limits are set by the customers; often, Voice of the Customer is referred to as the customer specification limits.

This entry was posted in Control, Measure, Process Capability and tagged ASQ, Black Belt, Green Belt, IASSC, Ramana, Villanova. Bookmark the permalink.
Ted Hessing

Z Scores (Z Value) & Z Table

Posted by Ted Hessing

Z scores are the number of standard deviations a score or a value (x) away from the mean and are a measure of the dispersion of data.

This entry was posted in Measure and tagged ASQ, Black Belt, Download, IASSC, QuestionSet, Villanova. Bookmark the permalink.
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