Compute the F-value for an analysis of variance (ANOVA) study, given the between-groups (or treatment) mean square value, and the within-groups (or residual / error) mean square value. Knowing the F-value associated with an analysis of variance is critical to assessing hypotheses and comparing models in analytics studies that rely on ANOVA methods.
Compute the intraclass correlation coefficient (or ICC) for an analysis of variance (ANOVA) study, given the between-groups and within-groups mean square values, and the number of subjects in each group. The ICC is often used in ANOVA-based analytics studies to determine how strongly subjects or items within the same group resemble one another.
Compute the p-value for an analysis of variance (ANOVA) study, given the ANOVA study's F-value, between (or treatment) degrees of freedom, and within (or residual / error) degrees of freedom. Knowing the probability value associated with an analysis of variance is critical to assessing hypotheses in analytics studies that rely on ANOVA models.
Compute a complete one-way analysis of variance (ANOVA) table for up to 10 groups, using only the mean, standard deviation, and number of subjects for each group. The resulting ANOVA table includes sums of squares, degrees of freedom, mean squares, and F and p-values, all of which can provide useful insights for ANOVA-based analytics studies.