Construction and Application of a Statistical Test for Coefficient of Variation on Normal Distributions
Solly Matshonisa Seeletse1 & Gezani Richman Miyambu1 Show affiliations
- Sefako Makgatho Health Sciences University, South Africa
American Journal of Applied Sciences, Volume 14, Issue 11, pp. 1024–1030 · doi.org/10.3844/ajassp.2017.1024.1030
Abstract
In this study a novel statistical test is derived for the Coefficient of Variation (CV) under normal distributions. This is a newly derived test with value to engineering sciences in aspects of production of accurate items. The CV can measure the precision of a measuring instrument, among other applications. In order to determine instrument reliability, start by generating measures using the instrument. The CV is then calculated to determine if the measures generated by the instrument are concentrated around a central point. In use of normal distribution presumption, or approximation, applicable properties of the normal distributions lead to involvement of the chi-square and t-distributions. A CV test is then constructed, and two illustrative examples conclude the discussion.
Licence and reuse
Open access. This article is licensed under a Creative Commons Attribution 3.0 Licence (CC BY 3.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.
How to reuse this articleResponses (0)
About this article
Seeletse, S. M. & Miyambu, G. R. (2017). Construction and Application of a Statistical Test for Coefficient of Variation on Normal Distributions. American Journal of Applied Sciences, 14(11), 1024–1030. https://doi.org/10.3844/ajassp.2017.1024.1030
- Licence
- CC BY 3.0
- Issue
- Volume 14, Issue 11
- Policies
- Editorial independenceUse of generative AIData availabilityAppeals and complaints
- Version
- Version of record
