@Article{, title={The Use of Parametric and Nonparametric Methods to Study the Effects of Smoking on High-Density Lipoprotein Cholesterol}, author={Layla A. Ahmed}, journal={Iraqi Journal of Science المجلة العراقية للعلوم}, volume={62}, number={4}, pages={1231-1237}, year={2021}, 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.

} }