02220nam a22002657a 4500 20231102154423.0 231030b ||||| |||| 00| 0 eng d 0021-9584 RIEBPL Library 540.7 Endler Marcel Borges Hypothesis Tests and Exploratory Analysis Using R Commander and Factoshiny (Journal Article) Washington, United States :American Chemical Society ,January 10, 2023 267-278 p. American Chemical Society, Volume 100, Issue 1 ***______{For Hard Copy, Please visit Library.}________*** Abstract- An understanding of statistical concepts is necessary for a chemist with a complete education. Here, statistical tests were taught using the R Commander and the Factoshiny packages. These packages run on R software and have a graphical user interface (GUI), which allows students to do statistical tests quickly and easily. These packages were presented through 14 case studies. In each case study, a data set was provided in MS Excel format, and a series of questions were answered using these packages. Hypothesis tests and exploratory analysis (principal component analysis; PCA) were taught using R Commander and Factoshiny, respectively. Outlier results were found using boxplots. Data normality was checked using histograms and the Shapiro–Wilk test. Normally distributed data sets were compared using parametric hypothesis tests (t test, paired t test, one-way ANOVA, two-way ANOVA, one-way repeated measure ANOVA). Non-normally distrusted data sets were compared using nonparametric tests (Wilcoxon, Kruskal–Wallis, and Friedman tests). Results provided by these parametric and nonparametric tests were also verified using plots (plot of means and boxplots). Graduate Education/Research Upper-Division Undergraduate Analytical Chemistry Chemoinformatics Interdisciplinary/Multidisciplinary Chemometrics Computational Chemistry https://doi.org/10.1021/acs.jchemed.2c00155 PER 0 0 0 0 RIEBPL RIEBPL 2023-11-02 0 540.7 2023-11-02 00:00:00 2023-11-02 PER 44674 44673