What is Spearman's rank correlation coefficient?
Q: What is Spearman's rank correlation coefficient?
A: Spearman's rank correlation coefficient is a measure of correlation which shows how closely two sets of data are linked. It only can be used for data which can be put in order, such as highest to lowest.
Q: Who created Spearman's rank correlation coefficient?
A: Charles Spearman created Spearman's rank correlation coefficient.
Q: How is the general formula for Spearman's rank correlation coefficient written?
A: The general formula for Spearman's rank correlation coefficient is written as ρ = 1 - 6∑d2/n(n2-1).
Q: When should you use Spearman's rank correlation coefficient?
A: You should use Spearman's rank correlation coefficient when you want to see how closely two sets of data are linked and if they are linked at all.
Q: What type of data does it work with?
A: It works with any type of data that can be put in order, such as highest to lowest.
Q: Can you give an example where you would use this measure?
A: An example where you would use this measure could be if you have data for how expensive different computers are, and data for how fast the computers are, then you could see if they are linked, and how closely they are linked using r_s.
