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

Tag: Villanova

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.
Ted Hessing

Chi-Square Goodness of Fit Test

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.
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