Relative power performance of t-test and bootstrap procedure for two-sample

The classical procedures of comparing two groups, such as t-test are, usually restricted with the assumptions of normality and equal variances. When these assumptions are violated, the rates of the Type I errors of the independent samples t-test are affected, particularly when the sample sizes are s...

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Main Authors: Ahad, Nor Aishah, Abdullah, Suhaida, Lai, Choo Heng, Mohd. Ali, Nazihah
Format: Article
Language:English
Published: Universiti Putra Malaysia Press 2012
Online Access:http://psasir.upm.edu.my/id/eprint/40432/
http://psasir.upm.edu.my/id/eprint/40432/1/4.%20Relative%20power%20performance%20of%20t-test%20and%20bootstrap%20procedure%20for%20two-sample.pdf
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author Ahad, Nor Aishah
Abdullah, Suhaida
Lai, Choo Heng
Mohd. Ali, Nazihah
author_facet Ahad, Nor Aishah
Abdullah, Suhaida
Lai, Choo Heng
Mohd. Ali, Nazihah
author_sort Ahad, Nor Aishah
building UPM Institutional Repository
collection Online Access
description The classical procedures of comparing two groups, such as t-test are, usually restricted with the assumptions of normality and equal variances. When these assumptions are violated, the rates of the Type I errors of the independent samples t-test are affected, particularly when the sample sizes are small. In this situation, the bootstrap procedure has an advantage over the parametric t-test. In this study, the performances of the bootstrap procedure and the independent sample t-test were investigated. The investigation focused on the power of both the test procedures to compare the two groups under different design specifications for normal and chi-square distributions. The results showed that the bootstrap procedure has a slight edge over the conventional t-test in term of the rate of achieving the benchmark level for both the distributions. In fact, the bootstrap procedure consistently outperformed the conventional t-test across all the combinations of the test conditions.
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spelling upm-404322015-11-04T01:44:36Z http://psasir.upm.edu.my/id/eprint/40432/ Relative power performance of t-test and bootstrap procedure for two-sample Ahad, Nor Aishah Abdullah, Suhaida Lai, Choo Heng Mohd. Ali, Nazihah The classical procedures of comparing two groups, such as t-test are, usually restricted with the assumptions of normality and equal variances. When these assumptions are violated, the rates of the Type I errors of the independent samples t-test are affected, particularly when the sample sizes are small. In this situation, the bootstrap procedure has an advantage over the parametric t-test. In this study, the performances of the bootstrap procedure and the independent sample t-test were investigated. The investigation focused on the power of both the test procedures to compare the two groups under different design specifications for normal and chi-square distributions. The results showed that the bootstrap procedure has a slight edge over the conventional t-test in term of the rate of achieving the benchmark level for both the distributions. In fact, the bootstrap procedure consistently outperformed the conventional t-test across all the combinations of the test conditions. Universiti Putra Malaysia Press 2012 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/40432/1/4.%20Relative%20power%20performance%20of%20t-test%20and%20bootstrap%20procedure%20for%20two-sample.pdf Ahad, Nor Aishah and Abdullah, Suhaida and Lai, Choo Heng and Mohd. Ali, Nazihah (2012) Relative power performance of t-test and bootstrap procedure for two-sample. Pertanika Journal of Science & Technology, 20 (1). pp. 43-52. ISSN 0128-7680; ESSN: 2231-8526 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2020%20%281%29%20Jan.%202012/09%20Pg%2043-52.pdf
spellingShingle Ahad, Nor Aishah
Abdullah, Suhaida
Lai, Choo Heng
Mohd. Ali, Nazihah
Relative power performance of t-test and bootstrap procedure for two-sample
title Relative power performance of t-test and bootstrap procedure for two-sample
title_full Relative power performance of t-test and bootstrap procedure for two-sample
title_fullStr Relative power performance of t-test and bootstrap procedure for two-sample
title_full_unstemmed Relative power performance of t-test and bootstrap procedure for two-sample
title_short Relative power performance of t-test and bootstrap procedure for two-sample
title_sort relative power performance of t-test and bootstrap procedure for two-sample
url http://psasir.upm.edu.my/id/eprint/40432/
http://psasir.upm.edu.my/id/eprint/40432/
http://psasir.upm.edu.my/id/eprint/40432/1/4.%20Relative%20power%20performance%20of%20t-test%20and%20bootstrap%20procedure%20for%20two-sample.pdf