Thumbnail for Kendall's tau - Explained Simply + Examples (part 2)

Kendall's tau - Explained Simply + Examples (part 2)

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Brief summary

Kendall's tau - Explained Simply (Part 2) walks through how to calculate the rank correlation coefficient using concordant and discordant pairs, shows how to test its statistical significance with a z-table, and briefly contrasts it with Spearman’s method.

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Best quote from Kendall's tau - Explained Simply + Examples (part 2)

There's a statistically significant association in the first example, with a Kendall's tau coefficient of 0.818.

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