The UNIVARIATE Procedure

Overview

The UNIVARIATE procedure provides data summarization tools and information on the distribution of numeric variables. For example, PROC UNIVARIATE

calculates descriptive statistics based on moments
calculates the median, mode, range, and quantiles
calculates the robust estimates of location and scale
calculates confidence limits
tabulates extreme observations and extreme values
generates frequency tables
plots the data distribution
performs tests for location and normality
creates output data sets with requested statistics.

The Default Univariate Analysis shows a default univariate analysis for student exam scores. The statements that produce the output follow:

options pagesize=36;
proc univariate data=score;
run;

By default, the tests for location examine the hypothesis that the mean is equal to zero. Optionally, you can request to test the hypothesis that the mean is equal to a specified value [IMAGE]

A Univariate Analysis with Tests for Normality and Plots of the Data Distribution and An Output Data Set That Contains Univariate Statistics are the result of a more extensive univariate analysis. The analysis examines the data distribution of student exam scores and creates an output data set that saves percentiles that were not computed by default. The statements that produce the analysis also

specify the null hypothesis for the tests for locations
perform tests for normality
plot the data distribution
specify the analysis variables
request confidence limits for parameters and quantiles
list the five highest and lowest extreme values
print an output data set that contains percentiles.

For an explanation of the program that produces both these reports, see Examining the Data Distribution and Saving Percentiles.

The Default Univariate Analysis

A Univariate Analysis with Tests for Normality and Plots of the Data Distribution

An Output Data Set That Contains Univariate Statistics

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