Question: How does the Spearman rank order correlation coefficient differ from the Pearson correlation coefficient? O A. The Spearman rank order correlation assumes that variables have
How does the Spearman rank order correlation coefficient differ from the Pearson correlation coefficient? O A. The Spearman rank order correlation assumes that variables have a normally distributed population, whereas the Pearson correlation coefficient assumes that variables have a uniform distribution, O B. The Spearman rank order correlation is a qualitative measure of the degree of variation, whereas the Pearson correlation coefficient is a quantitative measure of the degree of variation. OC. The Spearman rank order correlation is used when variables have been measured using ordinal scales, whereas the Pearson correlation coefficient is used when variables have been measured using ratio scales. O D. The Spearman rank order correlation primarily establishes a weak association between variables, whereas the Pearson correlation coefficient establishes a strong association between variables.
Step by Step Solution
There are 3 Steps involved in it
Get step-by-step solutions from verified subject matter experts
