To help with your Googling, this technique (removing the extreme observations) is known as "trimming".  You can use PROC UNIVARIATE to get the trimmed means. You can read about some of the statistical shortcomings that are associated with trimming (or "Winsorizing") data,   If you are trying to perform a robust ANOVA, the best way is to use a statistical procedure that is not sensitive to outliers. There is an example in the SAS documentation that shows how to use PROC ROBUSTREG to perform a robust ANOVA. By using PROC ROBUSTREG, you will not throw away good data unnecessarily, which is what happens when you automatically discar the minimum and maximum values in each group.  ... View more

Hi ... but you did say "All variables are character variables" , yes/no?, and range is specific to numeric data. If they are character variables but the values are numerals, it will work, otherwise no. data x; input (race1-race5) (: $1.); datalines; 1 1 1 1 1 1 2 3 4 5 1 . 1 . 1 a b c d e ; run; data x; set x; same = ifc ( range(of r:)  , 'different' , 'same'); run; race1    race2    race3    race4    race5    same   1        1        1        1        1      same   1        2        3        4        5      different   1                 1                 1      same   a        b        c        d        e      same Then there's the LOG messages ... the first NOTE is why it works with numerals.  The others are why it does not work with other values. NOTE: Character values have been converted to numeric values at the places given by: (Line):(Column).       2360:24 NOTE: Invalid numeric data, race1='a' , at line 2360 column 24. NOTE: Invalid numeric data, race2='b' , at line 2360 column 24. NOTE: Invalid numeric data, race3='c' , at line 2360 column 24. NOTE: Invalid numeric data, race4='d' , at line 2360 column 24. NOTE: Invalid numeric data, race5='e' , at line 2360 column 24. race1=a race2=b race3=c race4=d race5=e same=same _ERROR_=1 _N_=4 NOTE: Missing values were generated as a result of performing an operation on missing values.       Each place is given by: (Number of times) at (Line):(Column).       1 at 2360:14 ... View more