HISTOGRAM Statement

Overview

Histograms are typically used in process capability analysis to compare the distribution of measurements from an in-control process with its specification limits. In addition to creating histograms, you can use the HISTOGRAM statement to

specify the midpoints for histogram intervals
display specification limits on histograms
display density curves for fitted theoretical distributions (beta, exponential, gamma, Johnson S_B, Johnson S_U, lognormal, normal, and Weibull) on histograms
request goodness-of-fit tests for fitted distributions
display kernel density estimates on histograms
inset summary statistics and process capability indices on histograms
save histogram intervals and parameters of fitted distributions in output data sets
create hanging histograms
request graphical enhancements

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