The UNIVARIATE Procedure OverviewGetting StartedSyntaxDetailsExamplesReferences Examples: UNIVARIATE Procedure Subsections: 4.1 Computing Descriptive Statistics for Multiple Variables 4.2 Calculating Modes 4.3 Identifying Extreme Observations and Extreme Values 4.4 Creating a Frequency Table 4.5 Creating Basic Summary Plots 4.6 Analyzing a Data Set With a FREQ Variable 4.7 Saving Summary Statistics in an OUT= Output Data Set 4.8 Saving Percentiles in an Output Data Set 4.9 Computing Confidence Limits for the Mean, Standard Deviation, and Variance 4.10 Computing Confidence Limits for Quantiles and Percentiles 4.11 Computing Robust Estimates 4.12 Testing for Location 4.13 Performing a Sign Test Using Paired Data 4.14 Creating a Histogram 4.15 Creating a One-Way Comparative Histogram 4.16 Creating a Two-Way Comparative Histogram 4.17 Adding Insets with Descriptive Statistics 4.18 Binning a Histogram 4.19 Adding a Normal Curve to a Histogram 4.20 Adding Fitted Normal Curves to a Comparative Histogram 4.21 Fitting a Beta Curve 4.22 Fitting Lognormal, Weibull, and Gamma Curves 4.23 Computing Kernel Density Estimates 4.24 Fitting a Three-Parameter Lognormal Curve 4.25 Annotating a Folded Normal Curve 4.26 Creating Lognormal Probability Plots 4.27 Creating a Histogram to Display Lognormal Fit 4.28 Creating a Normal Quantile Plot 4.29 Adding a Distribution Reference Line 4.30 Interpreting a Normal Quantile Plot 4.31 Estimating Three Parameters from Lognormal Quantile Plots 4.32 Estimating Percentiles from Lognormal Quantile Plots 4.33 Estimating Parameters from Lognormal Quantile Plots 4.34 Comparing Weibull Quantile Plots 4.35 Creating a Cumulative Distribution Plot 4.36 Creating a P-P Plot Last updated: April 16, 2025