Keyword Search:

Bookmark and Share

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

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

[img] PDF

Official URL:


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.

Item Type:Article
Keyword:Bootstrap; Power; T-test
Faculty or Institute:Faculty of Science
Publisher:Universiti Putra Malaysia Press
ID Code:40432
Deposited By: Najah Mohd Ali
Deposited On:04 Nov 2015 09:44
Last Modified:04 Nov 2015 09:44

Repository Staff Only: Edit item detail

Document Download Statistics

This item has been downloaded for since 04 Nov 2015 09:44.

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