prateekchandra

Hi! As a Six Sigma resource, i work for a BPO. I have this question on Non parametric testing. Please consider this case: When we go in for a parametric testing for equality of means for more than 2 populations, we conduct an ANOVA test to find out whether there is a significant difference amongst them or not. Now, if the null hypothesis gets rejected, we go ahead and conduct Tukeys or Scheffé's method to find out which population is significantly different from the others. While if the data is non normal or discrete, we go ahead with the Non parametric ANOVA (Kruskall-Wallis test or others) what happens if the Null gets rejected here, how do we find out the population with a significantly different measure of central tendency. Could anybody throw light on this and help me with this? Thanks in Advance! Regards, Prateek