The Use of Parametric and Nonparametric Methods to Study the Effects of Smoking on High-Density Lipoprotein Cholesterol

  • Layla A. Ahmed Department of Mathematics, College of Education, University of Garmian, Kurdistan Region –Iraq
Keywords: completely randomized design, Kruskal-Wallis method, normality, homogeneity of variances, independent of means and variances

Abstract

Analysis of variance (ANOVA) is one of the most widely used methods in statistics to analyze the behavior of one variable compared to another. The data were collected from a sample size of 65 adult males who were nonsmokers, light smokers, or heavy smokers. The aim of this study is to analyze the effects of cigarette smoking on high-density lipoprotein cholesterol (HDL-C) level and determine whether smoking causes a reduction  in this level, by using the completely randomized design (CRD) and Kruskal- Wallis method. The results showed that the assumptions of the one- way ANOVA are not satisfied, while, after transforming original data by using log transformation, they are satisfied. From the results, a significantly decreased level of HDL-C in smokers as compared to non-smokers is indicated.

Published
2021-04-30
How to Cite
Ahmed, L. A. (2021). The Use of Parametric and Nonparametric Methods to Study the Effects of Smoking on High-Density Lipoprotein Cholesterol. Iraqi Journal of Science, 62(4), 1231-1237. https://doi.org/10.24996/ijs.2021.62.4.19
Section
Mathematics