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Testing the differences of students’ scores between two groups


Md Yusof, Zahayu and Abdullah, Suhaida and Syed Yahaya, Sharipah Soaad (2012) Testing the differences of students’ scores between two groups. Journal of Applied Sciences Research, 8 (9). pp. 4894-4899. ISSN 1819-544X

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Abstract

Normality and homogeneity are two assumptions that need to be fulfilled when dealing with t-test.However, these ideal conditions are rarely achieved in real world.Thus, this study proposed a robust technique that can deal with the non-normal data and variance heterogeneity.The p-value of T1 statistic that is combined with one of the popular robust scale estimators,MADn,Tn and LMSn was investigated.A simulation study was conducted to compare the robustness (Type I error) of the method with respect to its counterpart from the perspective of parametric and non parametric, i.e, the t-test and Mann-Whitney respectively. The performances of the method are demonstrated on real data on education.The findings show the favor of T1 method, especially for skewed data.

Item Type: Article
Uncontrolled Keywords: p-value, trimming, non-normality, skewed, education
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Dr. Zahayu Md Yusof
Date Deposited: 08 Dec 2013 04:43
Last Modified: 04 Dec 2016 08:07
URI: http://repo.uum.edu.my/id/eprint/9385

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