Kendall's Tau explained: Non-parametric correlation (Excel)

Kendall's Tau is a useful and intuitive way of measuring non-parametric correlation between variables that is robust to non-normality and outliers. Today we will learn how to apply it in Excel, automatically detecting concordant and discordant pairs, and how to test the Kendall's Tau statistic for significance.
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You can find the spreadsheets for this video and some additional materials here: drive.google.com/drive/folders/1sP40IW0p0w5IETCgo464uhDFfdyR6rh7
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[@afiqyahya3398]

I can't thank enough with all of your videos.

[@afiqyahya3398]

Excuse my pardon, do you have any video on maximum likelihood estimation?

[@brains4fin226]

Savva, you are the best!

[@corradoforza]

Thank you so much for fulfilling my video request! Another video suggestion: Zipf’s law (and its relative probability distribution)! Thank you 🙏

[@NEDLeducation]

Hi again Corrado, and glad you liked the video! Might do one on Zipf's law at some point in the future as well.

[@phanquochung3924]

lots of thanks teacher :D

[@user-kr1uc5ee4s]

Excellent

[@cecex4545]

I'm getting errors for the lower half of the data for some reason, why might this be?