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 Oct19 answered What is a meaning of “p-value F” from Friedman test? Oct19 answered How to read large dataset in R Oct19 comment Pearson's or Spearman's correlation with non-normal data @Rob: Sure, but it seems this is where one should advocate Spearman's method over Pearson's. For example suppose small samples where X is normal but Y isn't -- you can compare the two on even terms with ranking methods such as Spearman's. Using Pearson's requires more work, for example, finding an appropriate transformation. Oct19 awarded Suffrage Oct19 comment Pearson's or Spearman's correlation with non-normal data @Srikant: I'm not sure it's a "secondary issue". You can compute anything after all -- it's the inference that matters. @Rob: your "if" qualifier is key here -- it seems to me that's central to this question. We can justify a whole lot with asymptotic hand waving; exceptions matter. Oct19 revised Pearson's or Spearman's correlation with non-normal data added 365 characters in body Oct19 revised Pearson's or Spearman's correlation with non-normal data added 33 characters in body Oct19 comment Pearson's or Spearman's correlation with non-normal data @Rob, @Srikant: True, I was thinking of significance testing. Oct19 revised Pearson's or Spearman's correlation with non-normal data added 178 characters in body Oct19 answered Pearson's or Spearman's correlation with non-normal data Oct18 awarded Mortarboard Oct18 answered Bayes' Theorem and Agresti-Coull: Will it blend? Oct18 awarded Nice Answer Oct18 answered Show average instead of median in boxplot Oct18 comment What is the meaning of $\|a\|_p=\left(\sum _{i=1}^n \left|a_i(t)\right|{}^p\right){}^{\frac{1}{p}}$? I know, I liked it -- it's the right recommendation to make in case the OP wants to dig deeper. Oct18 comment What is the meaning of $\|a\|_p=\left(\sum _{i=1}^n \left|a_i(t)\right|{}^p\right){}^{\frac{1}{p}}$? +1. Though I'm not sure an analysis book, even if it is Rudin, is "approachable". ;-) Oct17 comment What is the meaning of $\|a\|_p=\left(\sum _{i=1}^n \left|a_i(t)\right|{}^p\right){}^{\frac{1}{p}}$? @Kaelin: Unfortunately I can't think of a text which discusses this in particular. I can tell you that the L1 distance is preferred since it's less sensitive to outliers. It's also related to distances between empirical distributions in probability theory ( L1 is twice the "total variation distance": en.wikipedia.org/wiki/Total_variation_distance ). Oct17 revised What is the meaning of $\|a\|_p=\left(\sum _{i=1}^n \left|a_i(t)\right|{}^p\right){}^{\frac{1}{p}}$? added 17 characters in body Oct17 answered What is the meaning of $\|a\|_p=\left(\sum _{i=1}^n \left|a_i(t)\right|{}^p\right){}^{\frac{1}{p}}$? Oct17 answered “Multiple response” analysis of arrest records