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Category: Measure

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

Normal Probability Plot

Posted by Ted Hessing

The normal probability plot is a graphical technique for normality testing. Used to assess data set follows normal distribution.

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

Poisson Distribution

Posted by Ted Hessing

Poisson distribution is a discrete probability distribution; it describes the mean number of events occurring in a fixed time interval.

This entry was posted in Advanced Data Distributions, Measure and tagged ASQ, Black Belt, Green Belt, QuestionSet, 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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