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| The UNIVARIATE Procedure |
- Computing Descriptive Statistics for Multiple Variables
- Calculating Modes
- Identifying Extreme Observations and Extreme Values
- Creating a Frequency Table
- Creating Plots for Line Printer Output
- 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 Plot
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