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Six Sigma Study Guide

Six Sigma Study Guide

Study notes and guides for Six Sigma certification tests
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Home  /  Six Sigma Study Guide Articles  /  Posts Tagged: Villanova

Tag: Villanova

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.
Ted Hessing

Central Tendency

Posted by Ted Hessing

Central tendency is the idea that when using normal data, all three of the main measures (mean, mode, median) tend to be roughly the same.

This entry was posted in Descriptive Statistics, Measure and tagged ASQ, Black Belt, Green Belt, IASSC, Villanova. Bookmark the permalink.
Ted Hessing

Standard Deviation

Posted by Ted Hessing

Standard deviation is the measure of variation in a process. Describing variation by standard deviations lets us easily compare processes.

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

Box Plots (aka Box and Whisker Plots)

Posted by Ted Hessing

Box plots are graphical tools that let you easily visually compare variation between the data sets evaluated.

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

Stem and Leaf Plots

Posted by Ted Hessing

A stem and leaf plot is a technique to categorize either continuous or discrete values. It is used to organize data as they are collected.

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