@fbgeoff wrote:   Is the presence of outliers a good enough reason to warrant a transformation? Some variables are normally distributed but have outliers. In this case, will it still be necessary to transform the variable? The answer is: it depends!   If you want your analysis to be less sensitive to outliers, then you take some action to reduce the effect of outliers — while transformation is one way to reduce the effect of outliers, it also changes the distribution of the data (which you may or may not want). A better way to reduce the effect of outliers is to run a "robust" analysis on the untransformed data, if such a "robust" analysis exists. ... View more

in the 1st line i think you missed semicolon ..you can write code in 2 ways  1st : ========= %let path=C:/Users/ndiku/Desktop/ecprg193; libname orion "&path";   2nd Way : libname orion 'C:/Users/ndiku/Desktop/ecprg193' ;     ... View more