Human Folly about “nonparametric”

index

• Nolan heinzen IR ch18 (bcs.worthpublishers.com):

  A psychology textbook #ebook chapter about #nonparametric #statistics which omits even mentioning Kolmogorov-Smirnov Apparently, that’s because this is purely about nonparametric statistics on ordinal data, and the K-S test is really only applicable to data on at least an interval scale of measurement.

  on 02015-08-13
• Mann%E2%80%93Whitney U test (en.wikipedia.org):

  Another #nonparametric #statistics test, like Wilcoxon and Kolmogorov-Smirnov. “Nearly as efficient as the t-test on normal distributions.” That’s very exciting!

  on 02015-08-10
• Kolmogorov%E2%80%93Smirnov test (en.wikipedia.org):

  is the other main #nonparametric #statistics hypothesis test for comparing two distributions. I'm pretty sure it doesn't make sense on ordinal measurements, since the CDF it measures will always be the straight line y=x/n for sufficiently-precisely-measured ordinal data, regardless of the underlying distribution. By contrast, Wilcoxon and Mann–Whitney are applicable to ordinal variables.

  on 02015-08-10
• Wilcoxon signed rank test (en.wikipedia.org):

  Wilcoxon (wilcox.text in R, scipy.stats.wilcoxon in SciPy) is a #nonparametric #statistics hypothesis test.

  on 02015-08-10