The UNIVARIATE ProcedureOverviewGetting StartedSyntaxDetailsExamplesReferencesExamples: UNIVARIATE ProcedureSubsections:3.1 Computing Descriptive Statistics for Multiple Variables3.2 Calculating Modes3.3 Identifying Extreme Observations and Extreme Values3.4 Creating a Frequency Table3.5 Creating Basic Summary Plots3.6 Analyzing a Data Set With a FREQ Variable3.7 Saving Summary Statistics in an OUT= Output Data Set3.8 Saving Percentiles in an Output Data Set3.9 Computing Confidence Limits for the Mean, Standard Deviation, and Variance3.10 Computing Confidence Limits for Quantiles and Percentiles3.11 Computing Robust Estimates3.12 Testing for Location3.13 Performing a Sign Test Using Paired Data3.14 Creating a Histogram3.15 Creating a One-Way Comparative Histogram3.16 Creating a Two-Way Comparative Histogram3.17 Adding Insets with Descriptive Statistics3.18 Binning a Histogram3.19 Adding a Normal Curve to a Histogram3.20 Adding Fitted Normal Curves to a Comparative Histogram3.21 Fitting a Beta Curve3.22 Fitting Lognormal, Weibull, and Gamma Curves3.23 Computing Kernel Density Estimates3.24 Fitting a Three-Parameter Lognormal Curve3.25 Annotating a Folded Normal Curve3.26 Creating Lognormal Probability Plots3.27 Creating a Histogram to Display Lognormal Fit3.28 Creating a Normal Quantile Plot3.29 Adding a Distribution Reference Line3.30 Interpreting a Normal Quantile Plot3.31 Estimating Three Parameters from Lognormal Quantile Plots3.32 Estimating Percentiles from Lognormal Quantile Plots3.33 Estimating Parameters from Lognormal Quantile Plots3.34 Comparing Weibull Quantile Plots3.35 Creating a Cumulative Distribution Plot3.36 Creating a P-P Plot Copyright © SAS Institute Inc. All rights reserved.Last updated: November 25, 2020