Skip to Data Skip to Controls Skip to Chart Skip to Results

Multiple ComparisonsStatLens

Choose a dataset:

Edit or paste data (CSV with a grouping column and a numeric column):

Open a CSV, TSV, or JSON file:

Number of groups:

Grouping variable: Response variable:

Parameters

H₀: μ₁ = μ₂ = … = μ_k (all group means are equal)

H_a: At least one μ_i differs

Discernibility level (α)

Select a dataset or enter summary statistics.

Which groups differ? Post-hoc pairwise comparisons

Multiple Comparisons

Load data (3+ groups) or enter group summary statistics. After the overall F-test, the post-hoc panel shows every pairwise difference in means with family-wise confidence intervals and adjusted p-values (Tukey HSD or Bonferroni) — so you can see which groups differ, not just that some do.

A note on wording: α is the discernibility level here, following the course text. Many books and exercise sets call the same number the significance level — they mean the same thing.

?: Show this help
Esc: Close this dialog