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

Tag: IASSC

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

Goodness of Fit

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.
Ted Hessing

Financial Measures in Six Sigma

Posted by Ted Hessing

Learn how to analyze your Six Sigma projects using financial measures. This will give you insight into the wider effects of your efforts.

This entry was posted in Define, Project Selection and tagged ASQ, Black Belt, Green Belt, IASSC, QuestionSet, Villanova, Yellow Belt. 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

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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