Which of the following is a feature of the PROC UNIVARIATE procedure?

The PROC UNIVARIATE procedure in SAS is primarily designed for descriptive statistics and exploratory data analysis of a single variable. One of its key features is the creation of frequency tables, which allows researchers to understand the distribution of categorical data by showing how often each value occurs. Additionally, PROC UNIVARIATE performs extreme value analysis, providing insights into the presence of outliers and the range of values within the data set.

This is particularly useful in clinical trials where understanding the distribution and variability of a variable can significantly impact the interpretation of results and subsequent decision-making. The procedure produces various statistical measures, such as mean, median, mode, standard deviation, and quantiles, all of which contribute to a comprehensive understanding of the data at hand.

While other options may describe features that exist in SAS or other procedures, they do not align with the specific capabilities of PROC UNIVARIATE. For instance, HTML report generation could be achieved through other means, and facet plots are more commonly associated with graphical procedures like PROC SGPLOT. Automated data cleaning processes are generally handled separately before data analysis and are not a direct function of PROC UNIVARIATE.