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Category: Measure

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

Sampling Without Replacement (Deprecated)

Posted by Ted Hessing

Sampling Without Replacement is a probability question that is an example of using the Hypergeometric Distribution.

This entry was posted in Measure and tagged Black Belt, IASSC. 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

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.
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