What type of analysis does PROC UNIVARIATE provide in SAS?

PROC UNIVARIATE in SAS is specifically designed to perform a detailed statistical analysis on a single variable. This procedure provides a wide array of statistical outputs for the chosen variable, including descriptive statistics, measures of central tendency (like mean and median), measures of dispersion (such as variance and standard deviation), and quantiles (like percentiles). Additionally, PROC UNIVARIATE can generate various statistical tests (such as tests for normality) and graphical representations, including histograms and box plots.

The focus of PROC UNIVARIATE on a single variable allows users to deeply investigate the distribution characteristics of that variable, which is essential for many statistical analyses and interpretations. This makes it a powerful tool for understanding the behavior of individual data points within a dataset.

Other options present different functionalities that do not align with the primary purpose of PROC UNIVARIATE. For instance, a comprehensive statistical analysis involving multiple variables would typically be handled by other procedures such as PROC MEANS or PROC CORR. Basic data entry capabilities are not the focus of any statistical procedure in SAS, rather they are managed through data steps or input statements. Similarly, while data visualization can be an aspect of PROC UNIVARIATE, it does not exclusively rely on scatter plots,