Article Sidebar
Article Details
Issue
Section
Articles
Submission of a paper for publication implies the transfer of the copyright from the author(s) to the publisher upon acceptance. International Formulae Group is therefore the copyright holder after publication of an article in International Journal of Biological and Chemical Sciences, and published articles should not be used for commercial purpose without the written consent of the Editor-in-Chief. They are licensed under a Creative Commons Attribution-Non Commercial-Share Alike 4.0 International License.
Main Article Content
Basic assumptions in statistical analyses of data in biomedical sciences
Abstract
Every statistical procedure carries with it certain assumptions that must be at least approximately true before the procedure can produce reliable and accurate results. Researchers often apply a statistical procedure to their data without checking on the validity of the assumptions of the procedure. If one or more of the assumptions of a given statistical procedure are violated, then misleading results will be produced by the
procedure. It is important that those who analyze data be fully aware of the details of the statistical procedure they are using, including its companion assumptions. If one or more assumptions are violated, an alternative procedure must be used to obtain valid results. This article aims at highlighting some basic assumptions in statistical analyses of data in biomedical sciences.
Keywords: samples, independence, non-parametric, parametric, statistical analyses.
Int. J. Biol. Chem. Sci. Vol. 2 (3) 2008: pp. 373-388
