Calculate the rank correlation coefficient of the given problem

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The discussion focuses on the rank correlation coefficient formula, specifically questioning its general acceptance and derivation, particularly the term m^3 - m. Participants clarify that this expression is derived from properties of the Uniform Distribution and relates to the agreement of rankings. The conversation also touches on the implications of repeated entries in data and whether the formula remains valid under such conditions. Additionally, alternative methods for calculating rank correlation are mentioned, emphasizing the variety of approaches available. Overall, the thread serves as a refresher on correlation concepts and their mathematical foundations.
chwala
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Homework Statement
See attached.
Relevant Equations
Spearman's rank correlation coefficient.
Find the problem and solution here; I am refreshing on this topic of Correlation.

1659967128371.png


The steps are pretty much clear..my question is on the given formula ##\textbf{R}##. Is it a generally and widely accepted formula or is it some form of improvised formula approach for repeated entries/data? How did they arrive at... ##m^3-m?## ... Any proofs? Supposing ##9## entries are repeated and ##1## entry is different would the formula still hold?
Are there other different ways of solving this particular problem?

Cheers...
 
Last edited:
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chwala said:
Homework Statement:: See attached.
Relevant Equations:: Spearman's rank correlation coefficient.

Find the problem and solution here; I am refreshing on this topic of Correlation.

View attachment 305574

The steps are pretty much clear..my question is on the given formula ##\textbf{R}##. Is it a generally and widely accepted formula or is it some form of improvised formula approach for repeated entries/data? How did they arrive at... ##m^3-m?## ... Any proofs? Supposing ##9## entries are repeated and ##1## entry is different would the formula still hold?
Are there other different ways of solving this particular problem?

Cheers...
This just measures the degree to which the two rankings agree. There are other such measures:

https://en.wikipedia.org/wiki/Rank_correlation

https://en.wikipedia.org/wiki/Rank_correlation/Spearman%27sSpearman's ##\rho## as a particular caseEdit: I think the expression ##m^3 -m## comes from properties of the Uniform Distribution

Edit 2 : Per the article linked, this is the case, i.e., the expression ##m^3-m ## ad others are derived from the Uniform Distribution:
Ranks are just elements of permutations
of ##S_n## , the group of permutations of the elements in ##\{ 1,2,3,..n\} ##
 
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Thanks...let me look at the links and make some short notes. Cheers.
 
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