The Robust Test Statistic in Comparing Two Independent Groups using Trimming and Winsorization

The classical independent t-test is often in jeopardy when the assumptions of normality or homogeneity of variances being violated. The test performs worsen when these violations occur simultaneously. Alexander-Govern test offers the alternative solution to the classical t-test when dealing with het...

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Hoofdauteurs: Abdullah, Suhaida, Syed Yahaya, Sharipah Soaad, Md Yusof, Zahayu
Formaat: Artikel
Taal:English
Gepubliceerd in: IJENS Publisher, Rawalpindi, Pakistan 2017
Onderwerpen:
Online toegang:https://repo.uum.edu.my/id/eprint/30956/1/IJBAS%2017%2006%202017%2001-06.pdf
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author Abdullah, Suhaida
Syed Yahaya, Sharipah Soaad
Md Yusof, Zahayu
author_facet Abdullah, Suhaida
Syed Yahaya, Sharipah Soaad
Md Yusof, Zahayu
author_sort Abdullah, Suhaida
collection UUM
description The classical independent t-test is often in jeopardy when the assumptions of normality or homogeneity of variances being violated. The test performs worsen when these violations occur simultaneously. Alexander-Govern test offers the alternative solution to the classical t-test when dealing with heterogeneous variances conditions. However, it produces good control of Type I error rates only if the data are normally distributed, which is a known fact that normality is hardly achieved in real life situation. As a remedy, in this study, we modify the Alexander-Govern test using trimmed mean and Winsorized mean as the location measures. Generally, the modified test using trimmed mean performs better compared to the original test in terms of Type I error rates. However, the test using Winsorized mean failed to control the Type I error rate well under most condition considered
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spelling uum-309562024-07-04T01:37:14Z https://repo.uum.edu.my/id/eprint/30956/ The Robust Test Statistic in Comparing Two Independent Groups using Trimming and Winsorization Abdullah, Suhaida Syed Yahaya, Sharipah Soaad Md Yusof, Zahayu QA Mathematics The classical independent t-test is often in jeopardy when the assumptions of normality or homogeneity of variances being violated. The test performs worsen when these violations occur simultaneously. Alexander-Govern test offers the alternative solution to the classical t-test when dealing with heterogeneous variances conditions. However, it produces good control of Type I error rates only if the data are normally distributed, which is a known fact that normality is hardly achieved in real life situation. As a remedy, in this study, we modify the Alexander-Govern test using trimmed mean and Winsorized mean as the location measures. Generally, the modified test using trimmed mean performs better compared to the original test in terms of Type I error rates. However, the test using Winsorized mean failed to control the Type I error rate well under most condition considered IJENS Publisher, Rawalpindi, Pakistan 2017 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/30956/1/IJBAS%2017%2006%202017%2001-06.pdf Abdullah, Suhaida and Syed Yahaya, Sharipah Soaad and Md Yusof, Zahayu (2017) The Robust Test Statistic in Comparing Two Independent Groups using Trimming and Winsorization. International Journal of Basic & Applied Sciences, 17 (6). pp. 1-6. ISSN 2077-1223 https://www.ijens.org/ijbas.html
spellingShingle QA Mathematics
Abdullah, Suhaida
Syed Yahaya, Sharipah Soaad
Md Yusof, Zahayu
The Robust Test Statistic in Comparing Two Independent Groups using Trimming and Winsorization
title The Robust Test Statistic in Comparing Two Independent Groups using Trimming and Winsorization
title_full The Robust Test Statistic in Comparing Two Independent Groups using Trimming and Winsorization
title_fullStr The Robust Test Statistic in Comparing Two Independent Groups using Trimming and Winsorization
title_full_unstemmed The Robust Test Statistic in Comparing Two Independent Groups using Trimming and Winsorization
title_short The Robust Test Statistic in Comparing Two Independent Groups using Trimming and Winsorization
title_sort robust test statistic in comparing two independent groups using trimming and winsorization
topic QA Mathematics
url https://repo.uum.edu.my/id/eprint/30956/1/IJBAS%2017%2006%202017%2001-06.pdf
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