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Six Sigma Study Guide

Six Sigma Study Guide

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Category: Measure

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.
Ted Hessing

Normal Distribution (AKA Gaussian Probability Distribution)

Posted by Ted Hessing

The Normal distribution is used to analyze data when there is an equally likely chance of being above or below the mean for continuous data.

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

Data Distributions

Posted by Ted Hessing

Data distributions is a function that specifies all possible values for a variable and also quantifies the relative frequency.

This entry was posted in Basic Data Distributions, Measure and tagged ASQ, Black Belt, Green Belt, IASSC, Villanova. Bookmark the permalink.
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