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Use the Continuous Fit or Discrete Fit options to fit a distribution to a continuous variable.
Use the Continuous Fit options to fit the following distributions to a continuous variable.
The All option fits all applicable continuous distributions to a variable. The Compare Distributions report contains statistics about each fitted distribution. Use the check boxes to show or hide a fit report and overlay curve for the selected distribution. By default, the best fit distribution is selected.
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The Diagnostic Plot option creates a quantile or a probability plot. Depending on the fitted distribution, the plot is in one of the following four formats.
Reverses the x- and y-axes.
Draws Lilliefors 95% confidence limits for the Normal Quantile plot, and 95% equal precision bands with a = 0.001 and b = 0.99 for all other quantile plots (Meeker and Escobar 1998).
The Goodness of Fit option computes the goodness of fit test for the fitted distribution. The goodness of fit tests are not Chi-square tests, but are EDF (Empirical Distribution Function) tests. EDF tests offer advantages over the Chi-square tests, including improved power and invariance with respect to histogram midpoints.
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The Spec Limits option opens a window that enables you to enter specification limits and a target. Then generalizations of the standard capability indices are computed. Note that for the normal distribution, 3σ is both the distance from the lower 0.135 percentile to median (or mean) and the distance from the median (or mean) to the upper 99.865 percentile. These percentiles are estimated from the fitted distribution, and the appropriate percentile-to-median distances are substituted for 3σ in the standard formulas.
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Help created on 3/19/2020