Kendall's tau - Explained Simply + Examples (part 1)
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Kendall's tau explains how to measure the strength and direction of association between two ranked variables by comparing the number of concordant and discordant pairs, offering an alternative to Spearman's correlation with different sensitivity to data patterns.
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The greater the number of inversions, the smaller the coefficient will be, and I'll provide an example to show you what an inversion is.
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