Here's what I think the equivalent code would be for SGPLOT with examples of how you'd change the colors, labels and titles. Note I used Hex codes to select the colours and in SAS you add CX in front. So get the hex colour you want and update the code as desired.   title 'My Histogram'; proc sgplot data=sashelp.class; histogram height / dataskin=none outline fill fillatrs=(color=CX00aad2); density height / lineattrs=(color=Cxedb700) ; label height='Height (inches)'; run; ... View more

Why you wouldn't accept the probability under H0: rho=0 produced by PROC CORR, I have no idea.  Even if it uses the z transform, wouldn't it produce the correct probability?   However, if you must.  Using the "testing rho=0" section of Estimation and Confidence Intervals in notes for Introduction to Statistics at Andrews.edu, it looks like you can calculate t=r•sqrt((n-2)/(1-r 2 )), where r is your sample correlation.  You can compare your value ot t against the critical values for n-2 degrees of freedom and alpha level of your choice.   Assuming you know your N and r in, say, dataset mycorrs, you can do this:   data want;   set mycorrs;   df=n-2;   alpha=0.05;   sample_t=r*sqrt(df)/(1-r**2);   prob_abs_t=probt(abs(sample_t),df);   prob_abs_r_eq_0=2*(1-prob_abs_t);   lower_critval=tinv(alpha/2,df);   upper_critval=-1*lower_critval;   put 'Sample stats: ' r= n= sample_t=  ' Prob >|r| under H0: ' prob_abs_r_eq_0;   if lower_critval <= sample_t <= upper_critval then put "H0: rho=0 is not rejected at " alpha=;   else put "H0: rho=0 is rejected at " alpha=; run;     Lots of extra stuff in this program, but it is not clear what precisely you want.   Added two minutes later: you really might want to put this question in the Analytics section, sub-section IML. ... View more