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Search Results for: normal distribution

Ted Hessing

One Sample T Hypothesis Test (Student’s T-Test)

Posted by Ted Hessing

One Sample T Hypothesis Test (Student’s T Test) are used to resolve hypothesis tests around comparing process means ( sample size to be <30)

This entry was posted in Analyze, Measure, Performing Hypothesis Tests with Normal Data and tagged ASQ, Black Belt, Download, 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

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.
Ted Hessing

6M’s in Six Sigma (Six Ms or 5Ms and one P or 5M1P)

Posted by Ted Hessing

In the Analyze phase of DMAIC, we want to use the 6M’s in Six Sigma (Six Ms or 5Ms and one P or 5M1P). This helps root out defects.

This entry was posted in Analyze, Root Cause and Gap Analysis and tagged Black Belt, Villanova. Bookmark the permalink.
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