Analysis of Variance - ANOVA Statistics and ANOVA with R

This course covers the learning outcomes and goals of understanding Analysis of Variance (ANOVA) and how to conduct ANOVA in R. Students will learn when to use ANOVA, the differences between ANOVA and t-test, assumptions for ANOVA, calculating total sum of squares, test statistic calculation, and post-hoc multiple comparisons. The course teaches how to perform ANOVA in R, create ANOVA tables, visualize pair-wise comparisons, conduct multiple comparisons, and perform the Kruskal-Wallis test using functions like "aov," "TukeyHSD," and "kruskal.test." The intended audience for this course includes individuals interested in statistics, data analysis, and using R for statistical computations.