The UNIVARIATE Procedure |

The UNIVARIATE procedure provides the following:

descriptive statistics based on moments (including skewness and kurtosis), quantiles or percentiles (such as the median), frequency tables, and extreme values

histograms that optionally can be fitted with probability density curves for various distributions and with kernel density estimates

cumulative distribution function plots (cdf plots). Optionally, these can be superimposed with probability distribution curves for various distributions.

quantile-quantile plots (Q-Q plots), probability plots, and probability-probability plots (P-P plots). These plots facilitate the comparison of a data distribution with various theoretical distributions.

goodness-of-fit tests for a variety of distributions including the normal

the ability to inset summary statistics on plots

the ability to analyze data sets with a frequency variable

the ability to create output data sets containing summary statistics, histogram intervals, and parameters of fitted curves

You can use the PROC UNIVARIATE statement, together with the VAR statement, to compute summary statistics. See the section Getting Started: UNIVARIATE Procedure for introductory examples. In addition, you can use the following statements to request plots:

the CDFPLOT statement for creating cdf plots

the HISTOGRAM statement for creating histograms

the PPPLOT statement for creating P-P plots

the PROBPLOT statement for creating probability plots

the QQPLOT statement for creating Q-Q plots

the CLASS statement together with any of these plot statements for creating comparative plots

the INSET statement with any of the plot statements for enhancing the plot with an inset table of summary statistics

The UNIVARIATE procedure produces two kinds of graphical output:

traditional graphics, which are produced by default

ODS Statistical Graphics output, which is produced when you specify the ODS GRAPHICS statement prior to your procedure statements statements.

See the section Creating High-Resolution Graphics for more information about producing traditional graphics and ODS Graphics output.

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