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Category: Measure

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.
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

Dispersion

Posted by Ted Hessing

Dispersion is the degree of variation in the data. In other words, the extent of the spread of values from the mean.

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