What visualization types can PROC UNIVARIATE generate?

PROC UNIVARIATE in SAS is specifically designed for the examination of univariate statistical data. Among the various outputs it can produce, histograms and box plots are two key visualization types.

Histograms provide a visual representation of the distribution of a dataset, allowing you to see how the data is spread across different ranges. This is particularly useful for understanding the frequency distribution of continuous data.

Box plots, on the other hand, summarize the distribution of the data through their quartiles and highlight the presence of outliers. They provide a clear view of the centrality, variability, and overall shape of the data distribution.

The correct choice reflects the specific capabilities of PROC UNIVARIATE in creating these types of visualizations, making it a powerful tool for data analysts looking to understand the characteristics of their data. The other options do not align with the functionality of PROC UNIVARIATE; for example, pie charts and line graphs are not typically generated by this procedure.