A Robust Alternative to the t - Test

Zahayu Md Yusof, Suhaida Abdullah, Sharipah Syed Yahaya and Abdul Othman

Modern Applied Science, 2012, vol. 6, issue 5, 27

Abstract: t-test is a classical test statistics for testing the equality of two groups. However, this test is very sensitive to non-normality as well as variance heterogeneity. To overcome these problems, robust method such as Ft and S1 tests statistics can be used. This study proposed the use of a robust estimator that is trimmed mean as the central tendency measure in Ft test and median as the central tendency measure in S1 test when comparing the equality of two groups. The performance of the S1 test with MADn was able to give the most convincing result than the other methods. The Ft with MADn showed comparable results with the conventional methods. This study has shown some improvement in the statistical solution of detecting differences between location parameters. These modified methods may serve as alternatives to some other robust statistical methods which are unable to handle either the problem of non-normality, variance heterogeneity or unbalanced design.

Date: 2012
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ccsenet.org/journal/index.php/mas/article/download/15249/11127 (application/pdf)
https://ccsenet.org/journal/index.php/mas/article/view/15249 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ibn:masjnl:v:6:y:2012:i:5:p:27

Access Statistics for this article

More articles in Modern Applied Science from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().