The interpretation of the Spearman correlation coefficient is identical to that for the:
A) independent-samples t test.
B) Pearson correlation coefficient.
C) chi-square test for independence.
D) Mann-Whitney U test.

Question

Quizplus · Accepted Answer

The Spearman correlation coefficient measures the strength and direction of association between two variables, just like the Pearson correlation coefficient. However, the Spearman correlation coefficient is based on the ranks of the data, making it more appropriate for non-normally distributed data or data with outliers. The other options listed are not appropriate for measuring correlation between two continuous variables.

The Interpretation of the Spearman Correlation Coefficient Is Identical to That