Given below are two statements. In the light of the above statements, choose the most appropriate answer from the options given below.

Statement I:Spearman's rho is generally employed to measure the strength and direction of the relationship between two ordinal variables.

Statement II:Pearson's coefficient of correlation r is very useful when the relationship between two variables is curvilinear.

ABoth Statement I and Statement II are correct

BBoth Statement I and Statement II are incorrect

CStatement I is correct but Statement II is incorrect ✓ Correct

DStatement I is incorrect but Statement II is correct

Correct answer: (C) Statement I is correct but Statement II is incorrect

Explanation

Statement 1 is correct because Spearman's rho measures the strength and direction of association between two ordinal variables.

It works on ranks rather than raw scores, suiting ordered categories.

Statement 2 is incorrect because Pearson's r captures only linear relationships, not curvilinear ones.

A strong curved pattern can yield a near-zero Pearson r despite a real association.

For monotonic but non-linear data, rank-based measures like rho are preferred.

Pearson's r requires interval or ratio data that are roughly normally distributed.

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