Classifier Instance:

Anchor text: Spearman
Target Entity: Spearman\u0027s_rank_correlation_coefficient
Preceding Context: It is possible to make statistical inferences without assuming a particular parametric family of probability distributions. In that case, one speaks of non-parametric statistics as opposed to the parametric statistics described in the previous paragraph. For example,
Succeeding Context: is a non-parametric test as it is computed from the order of the data regardless of the actual values, whereas Pearson is a parametric test as it is computed directly from the data and can be used to derive a mathematical relationship.
Paragraph Title: Statistics and econometrics
Source Page: Parameter

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