318543

A new Method for Computing and Testing The significance of the Spearman Rank Correlation

Article

Last updated: 27 Apr 2025

Subjects

-

Tags

Applied Statistics and Econometrics
Mathematical Statistics

Abstract

To compute and test the significance of the Spearman rank correlation coefficient, the differences between ranks are used, and the Spearman correlation coefficient is used as a test statistic. This study has introduced an efficient rank correlation formula like the method earlier derived by Spearman. The formula is based on a new statistic that depends on the sum of the ranks rather than their difference, as in Spearman's formula. The formula was derived and tested with real data. Hence, if there are no ties in the data, the result shows that the formula gives the same result as Spearman's formula. The formula is simple to use and does not include a negative sign during calculation. we clarify the relationship between the new test statistic and the Spearman rank correlation coefficient and establish the exact distribution of the new test statistic using the exact distribution of the Spearman rank correlation coefficient. When there are no ties, it is advised to follow this formula.

DOI

10.21608/cjmss.2023.229746.1015

Keywords

asymptotic normality, exact distribution, rank correlation coefficient, tied observations, significance

Authors

First Name

Mahmoud

Last Name

Eltehiwy

MiddleName

-

Affiliation

statistics department, the Politics and Economics faculty, Beni -Suef university, Egypt

Email

mahmoudtehiwy@gmail.com

City

-

Orcid

-

First Name

Abu Bakr

Last Name

Abdul-Motaal

MiddleName

-

Affiliation

Faculty of Commerce, Department of Statistics, South Valley University, Egypt.

Email

abubakrabdulmotaal@gmail.com

City

-

Orcid

-

Volume

2

Article Issue

2

Related Issue

40924

Issue Date

2023-11-01

Receive Date

2023-08-16

Publish Date

2023-11-01

Page Start

240

Page End

250

Print ISSN

2974-3435

Online ISSN

2974-3443

Link

https://cjmss.journals.ekb.eg/article_318543.html

Detail API

http://journals.ekb.eg?_action=service&article_code=318543

Order

318,543

Type

Original Article

Type Code

2,545

Publication Type

Journal

Publication Title

Computational Journal of Mathematical and Statistical Sciences

Publication Link

https://cjmss.journals.ekb.eg/

MainTitle

A new Method for Computing and Testing The significance of the Spearman Rank Correlation

Details

Type

Article

Created At

29 Dec 2024