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isixsigma on MSNNavigating Data Analysis: The Importance of Testing for Normality
Key Points Normality refers to how your data fits into a normal distribution. You can find out if your data is uniform by conducting a normality test. Normality tests are a fast way of determining if ...
Using a time series layer to histograms and box and whisker plot visualizations can add true diagnostic value. This is part three of a three-part series about Bing's data distribution tools.
Distribution Channels and Marketing Analysis. ... They can do so by using market data that shows the number of potential sales, plus the price per product minus the cost of distribution.
Cluster analysis is an important technique in exploratory data analysis, because there is no prior knowledge of the distribution of the observed data. Partitional clustering methods, which divide the ...
Microsoft Excel's Data Analysis Toolpak is an invaluable add-in for those who require complex statistical or engineering analyses. ... providing a visual representation of data distribution patterns.
Restoration switching analysis; Electronic switching orders; Tags and clearances. Another advanced function is a training simulation to test against historical events as well as proposed growth, ...
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