S3.5.1 - Spearman’s rank correlation

Spearman’s rank correlation Numerical questions involving ties will not be set.; Some coefficient, its use, interpretation understanding of how to deal with ties will be expected. and limitations.

Use spearman’s rank correlation to connect the rule to the data and decision in the question.

This matters because spearman’s rank correlation determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply spearman’s rank correlation to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: Spearman’s rank correlation is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.