Type I error rates of t-test and T1 statistic under balanced and unbalanced designs

The t-test used prominently for comparing means between two groups is usually restricted with the assumptions of normality and variance homogeneity. However, the violation of the assumptions occurs in many real world data. In this study, two methods of comparing the means of two samples were conduct...

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Main Authors: Md Yusof, Zahayu, Abdullah, Suhaida, Syed Yahaya, Sharipah Soaad
Format: Conference or Workshop Item
Language:English
Published: 2010
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/2216/1/Zahayu_Md_Yusuf%2C_Suhaida_Abdullah%2C_Sharipah_Soaad.pdf
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author Md Yusof, Zahayu
Abdullah, Suhaida
Syed Yahaya, Sharipah Soaad
author_facet Md Yusof, Zahayu
Abdullah, Suhaida
Syed Yahaya, Sharipah Soaad
author_sort Md Yusof, Zahayu
collection UUM
description The t-test used prominently for comparing means between two groups is usually restricted with the assumptions of normality and variance homogeneity. However, the violation of the assumptions occurs in many real world data. In this study, two methods of comparing the means of two samples were conducted. The first method used the traditional t-test while the second method used the TI statistic for comparing means. The performances of the t-test and the TI statistic were evaluated under different conditions. They were sample sizes, type of distributions (normal or non-normal), and unequal group variances. The Type I error rates of the two test statistics were obtained and compared. Based on the investigations, the TI statistic was able to produce good Type I error rates with values near to the nominal level, a = 0.05.
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spelling uum-22162016-12-04T07:59:24Z https://repo.uum.edu.my/id/eprint/2216/ Type I error rates of t-test and T1 statistic under balanced and unbalanced designs Md Yusof, Zahayu Abdullah, Suhaida Syed Yahaya, Sharipah Soaad QA Mathematics The t-test used prominently for comparing means between two groups is usually restricted with the assumptions of normality and variance homogeneity. However, the violation of the assumptions occurs in many real world data. In this study, two methods of comparing the means of two samples were conducted. The first method used the traditional t-test while the second method used the TI statistic for comparing means. The performances of the t-test and the TI statistic were evaluated under different conditions. They were sample sizes, type of distributions (normal or non-normal), and unequal group variances. The Type I error rates of the two test statistics were obtained and compared. Based on the investigations, the TI statistic was able to produce good Type I error rates with values near to the nominal level, a = 0.05. 2010 Conference or Workshop Item NonPeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/2216/1/Zahayu_Md_Yusuf%2C_Suhaida_Abdullah%2C_Sharipah_Soaad.pdf Md Yusof, Zahayu and Abdullah, Suhaida and Syed Yahaya, Sharipah Soaad (2010) Type I error rates of t-test and T1 statistic under balanced and unbalanced designs. In: Seminar Kebangsaan Sains Komputer dan Matematik (SKSKM 2010), 21 - 22 Disember 2010, Kota Kinabalu, Sabah. (Unpublished) http://skskm.spus.biz/
spellingShingle QA Mathematics
Md Yusof, Zahayu
Abdullah, Suhaida
Syed Yahaya, Sharipah Soaad
Type I error rates of t-test and T1 statistic under balanced and unbalanced designs
title Type I error rates of t-test and T1 statistic under balanced and unbalanced designs
title_full Type I error rates of t-test and T1 statistic under balanced and unbalanced designs
title_fullStr Type I error rates of t-test and T1 statistic under balanced and unbalanced designs
title_full_unstemmed Type I error rates of t-test and T1 statistic under balanced and unbalanced designs
title_short Type I error rates of t-test and T1 statistic under balanced and unbalanced designs
title_sort type i error rates of t test and t1 statistic under balanced and unbalanced designs
topic QA Mathematics
url https://repo.uum.edu.my/id/eprint/2216/1/Zahayu_Md_Yusuf%2C_Suhaida_Abdullah%2C_Sharipah_Soaad.pdf
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