In statistics, this coefficient is a number ranging from minus one to one that measures how strongly the ranks of two variables are correlated, rather than their raw values. It is used whenever the ordering of data matters more than exact measurements, for example testing whether people who rank highly in one skill also tend to rank highly in a related one. A value of one or minus one signals a perfect monotonic relationship between the two rankings, while zero signals no consistent association.
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1. Spearman's Rank Correlation Coefficient (Wikipedia)
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In statistics, Spearman's rank correlation coefficient or Spearman's ρ is a number ranging from −1 to 1 that indicates how strongly two sets of ranks are correlated.
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In statistics, Spearman's rank correlation coefficient or Spearman's ρ is a number ranging from −1 to 1 that indicates how strongl
View the Source2. Wolfram MathWorld: Spearman Rank Correlation Coefficient
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proposed by Spearman in 1904 as a measure of the strength of the monotone association
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