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:	https://repo.uum.edu.my/id/eprint/9385

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