My favorite surprising use of a PROC is actually sort of the reverse: using PROC CORR to do t-tests. When you correlate a binary variable with a continuous variable in PROC CORR (using the default Pearson correlations), you get the same P value as you would from an ordinary two-sample t-test. (This is dependent on the algorithm used to calculate the P value, as the exact distribution of the correlation coefficient is not t.) When I present this trick I am sometimes challenged by other statisticians who are horrified by this shortcut. But it's a handy, compact way to present a large number of t-tests for exploratory purposes.