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goodness-of-fit tests, parameter estimates, and quantiles of the fitted distribution.

It also requests a summary of the fitted distribution, which is shown in Output 4.19.1. The NORMAL option specifies that the normal curve be displayed on the histogram shown in Output 4.19.2. The ODS SELECT statement restricts the output to the "ParameterEstimates," "GoodnessOfFit," "FitQuantiles," and "Bins" tables Inset n normal(ksdpval) / pos = ne format = 6.3 Histogram Thick / normal(percents=20 40 60 80 midpercents)

Ods select Histogram ParameterEstimates GoodnessOfFit FitQuantiles Bins The following statements fit a normal distribution to the thickness measurements in the Trans data set and superimpose the fitted density curve on the histogram: This example is a continuation of Example 4.14. Computing Descriptive Statistics for Multiple Variables Calculating Modes Identifying Extreme Observations and Extreme Values Creating a Frequency Table Creating Basic Summary Plots Analyzing a Data Set With a FREQ Variable Saving Summary Statistics in an OUT= Output Data Set Saving Percentiles in an Output Data Set Computing Confidence Limits for the Mean, Standard Deviation, and Variance Computing Confidence Limits for Quantiles and Percentiles Computing Robust Estimates Testing for Location Performing a Sign Test Using Paired Data Creating a Histogram Creating a One-Way Comparative Histogram Creating a Two-Way Comparative Histogram Adding Insets with Descriptive Statistics Binning a Histogram Adding a Normal Curve to a Histogram Adding Fitted Normal Curves to a Comparative Histogram Fitting a Beta Curve Fitting Lognormal, Weibull, and Gamma Curves Computing Kernel Density Estimates Fitting a Three-Parameter Lognormal Curve Annotating a Folded Normal Curve Creating Lognormal Probability Plots Creating a Histogram to Display Lognormal Fit Creating a Normal Quantile Plot Adding a Distribution Reference Line Interpreting a Normal Quantile Plot Estimating Three Parameters from Lognormal Quantile Plots Estimating Percentiles from Lognormal Quantile Plots Estimating Parameters from Lognormal Quantile Plots Comparing Weibull Quantile Plots Creating a Cumulative Distribution Plot Creating a P-P PlotĮxample 4.19 Adding a Normal Curve to a Histogram