Analysis of Variance - ANOVA Statistics and ANOVA with R

Learn to conduct Analysis of Variance (ANOVA) using R in this comprehensive tutorial. Explore the fundamentals of ANOVA, including when to use it, its assumptions, and how it differs from t-tests. Calculate total sum of squares, test statistics, and perform post-hoc multiple comparisons using the Bonferroni Correction. Master R functions like 'aov', 'TukeyHSD', and 'kruskal.test' for ANOVA computations. Create visual displays for pairwise comparisons and learn to interpret ANOVA tables. Discover alternatives such as the Kruskal-Wallis test and bootstrap approaches. Gain practical experience using free datasets and R scripts, enhancing your statistical analysis skills for comparing means across multiple independent groups.

One Way ANOVA (Analysis of Variance): Introduction | Statistics Tutorial #25 | MarinStatsLectures.
ANOVA (Analysis of Variance) and Sum of Squares | Statistics Tutorial #26 | MarinStatsLectures.
ANOVA Part III: F Statistic and P Value | Statistics Tutorial #27 | MarinStatsLectures.
ANOVA Part IV: Bonferroni Correction | Statistics Tutorial #28 | MarinStatsLectures.
ANOVA, ANOVA Multiple Comparisons & Kruskal Wallis in R | R Tutorial 4.9 | MarinStatsLectures|.
Statistics for Health Research Tutorial 8: ANOVA and Bonferroni Correction.