What type of statistics does PROC UNIVARIATE provide based on moments?

PROC UNIVARIATE is a procedure in SAS that focuses on univariate data analysis. It provides comprehensive descriptive statistics that summarize the distribution of a single variable. Among these statistics, it includes measurements based on moments, specifically skewness and kurtosis.

Skewness quantifies the asymmetry of the probability distribution of a real-valued random variable, revealing whether the data is skewed to the left (negative skew) or the right (positive skew). Kurtosis, on the other hand, measures the "tailedness" of the distribution—whether the data has heavier or lighter tails compared to a normal distribution. These two metrics are crucial for understanding the shape and characteristics of the data distribution and are derived from the moments of the distribution.

In contrast, other types of statistics listed, such as inferential statistics for hypothesis testing, multivariate statistics for analyzing multiple variables simultaneously, and time series statistics for analyzing trends over time, do not align with the specific functionality of PROC UNIVARIATE. This procedure is primarily designed for producing detailed descriptive statistics, which makes option A the correct choice.