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. ... View more

You asked, "how do I account for the [-infinity, infinity] part?" Here is a hint: What is the range of the expression uniform*pi - pi/2 ? Ask yourself how the TAN function behaves on this interval.     For more about the inverse CDF method of simulating data, see "The inverse CDF method for simulating from a distribution." ... View more

  okay well here is what I attempted in trying to import data, but its wrong. I don't know how to account for labeling cause what I did didn't work. LIBNAME MyLib "D:\Statistical Data Management\MyLib\"; PROC FORMAT;          Value var1$ "var1" = "Grayson's Pond";          Value var2$ "var2" = "Beaver Lake" ;          Value var3$ "var3" = "Angler's Cove";          Value var4$ "var4" = "Appletree Lake";          Value var5$ "var5" = "Rock River" ; DATA mylib.strontium;      INFILE 'D:\Statistical Data Management\MyLib\Projects\Project #2\strontium.txt'      DELIMITER='09'x;      INPUT var1 var2 var3 var4 var5;      FORMAT var1 $var1. var2 $var2. var3 $var3. var4 $var4. var5 $var5.; TITLE1 'ONE-WAY ANOVA OF STRONTIUM LEVELS'; RUN; ... View more

See the article "Compute covariance and correlation matrices," which shows the four steps that you need to perform to compute a correlation matrix from a data matrix. In particular, you do not need to form three matrices. The three variables become three columns in a single data matrix. ... View more

@trash "...how does it know the correct answers" The correct answers are now coded with an internal value of 1, everything else is either 0 or Missing. With such codes we can just use the sum() function and the returned value is the number of correct answers. ... View more

@trash: The "double commas" you can account for by using the dsd option on your INFILE statement. The easy way to account for lower/upper cases is to use the $UPCASE. informat. That way, your program would be something like: data Hospital; infile 'D:\hospital.csv' delimiter= ',' dsd firstobs=2; length hosp gender $1; informat hosp gender $upcase.; input hosp $ gender $ haemo pcv wbc lympho neutro lead; run; ... View more