This sounds something like a simulation of a dataset with known mean and sd, but with an unknown distribution If that is the case, then you can rely on the central limit theorem, and do something like:
data sample(keep=X);
call streaminit(123);
do j=1 to 60000;
X = rand('Normal', known_mean, known_sd);
output;
end;
run;
where known_mean and known_sd are the parameter values you have.
I would also recommend looking at @Rick_SAS 's blog and especially this paper, should you decide on a simulation approach:
https://support.sas.com/resources/papers/proceedings15/SAS1387-2015.pdf
If your data1 looks like a mixture of distributions or something unusual, this paper gives you some approaches.
SteveDenham
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