Copy and run the code from the yellow box below:
The NUM data set contains a population of 10 data points.
A z-score is a measure of the number of standard deviation above or below the mean.
It can be calculated as:
z = x - µ/σ where
x = the value to be standardized
µ = the mean
σ = the standard deviation
Compute the z-score for each data points.
i = 1; *Create an arbitrary variable for merging purpose;
proc means data=num2 noprint;
Output out=stat mean=mean std=std;
Merge Num2 Stat;
Zscore = (Rnumber - Mean)/std;
Note: z-score can also be computed using Proc Standard.