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Category: Advanced Data Distributions

Ted Hessing

F-Distribution

Posted by Ted Hessing

The F-distribution tests equality of variances between two normal populations, and explains its properties and how it relates to the F-test.

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

Exponential Distribution

Posted by Ted Hessing

The exponential distribution is a widely used continuous distribution. It estimates the lapse of time between the independent events.

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