Which PROC step is used to analyze the distribution of data?

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The PROC UNIVARIATE step is specifically designed for analyzing the distribution of data in SAS. It provides a detailed statistical summary of the data distribution, including measures such as mean, median, mode, variance, skewness, and kurtosis. Additionally, PROC UNIVARIATE offers graphical representations such as histograms and box plots, which allow for visual assessment of the data's distribution.

In contrast, PROC PRINT is primarily used for displaying the contents of a dataset without providing any statistical analysis related to distribution. PROC SORT is focused on ordering the data based on specified variables, and PROC DATA is not a valid SAS procedure; it seems to be a misnomer that doesn't correspond to any specific analytical function within SAS. By choosing PROC UNIVARIATE, one can effectively perform a comprehensive analysis of the distribution characteristics of the dataset.

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