The rank correlation coefficient between the marks in two subjects of a class is 0.8. The sum of the squares of the differences between the ranks is 33. Then the number of students is:
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Spearman’s rank correlation is useful when data is in rank form. Use \( r = 1 - \dfrac{6\sum d^2}{n(n^2 - 1)} \) to relate rank differences and correlation.