You could try looking up Box-Muller on Wikipedia, for a start.
You could also search SAS Help for "box muller". Hint: it's in there!
The Box-Mueller transformation is a way to generate a random normal variates from two uniform variates.
1. Learn how to generate uniform random variates in SAS in the DATA step.
2. Use DATA step programming to combine the uniform variates to form a normal variate.
I suggest looking into PROC UNIVARIATE when you are ready to generate descriptive statistics that indicate that the sample statistics for X and Y are close to the parameters in the population.
For the contour plot and surface plot, I suggest you look at PROC KDE, which can produce bivariate plots of density.
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Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.
Find more tutorials on the SAS Users YouTube channel.
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