This tool compares three or more distributions to see whether group means differ. Upload a spreadsheet where each selected numeric column is one group, and the app will:
Check assumptions (normality by group, homogeneity of variances)
Automatically choose the right omnibus test (ANOVA, Welch ANOVA, or Kruskal–Wallis)
Run an appropriate post hoc test when needed (Tukey, Games–Howell, or Dunn)
Display clear summaries, downloadable tables, and easy-to-read visuals
Note: This is an educational tool. Do not use it for sensitive or confidential data.
How to Use
1.Upload your spreadsheet: Click “Choose Data File” and select a .csv or .xlsx. Format tip: Each numeric column = one group. Remove extra/non-numeric columns.
2. Select columns: Choose 3 or more numeric columns to compare (the tool can auto-select all numeric columns).
3. Analyze: Click Analyze Data. You’ll get a decision summary (which test was used and why), a group summary (n, mean, SD, min/max), omnibus test result, post hoc comparisons (only when appropriate), and visuals (QQ plots, boxplot with jitter & group means).
What the Tool Decides For You
1. Omnibus Test: ANOVA if data are approximately normal and variances are equal, Welch ANOVA if normality holds but variances are unequal, or Kruskal–Wallis if normality is not supported.
2. Post Hoc (only if omnibus is significant and ≥3 groups): After ANOVA → Tukey HSD, After Welch → Games–Howell, After Kruskal–Wallis → Dunn (Holm correction).
3. Outputs You Can Download: Group summary table, Omnibus test table, Post hoc results (when applicable)
Tips & Reminders
1. Use clean, wide-format data: each selected column is a group to compare.
2. Remove identifiers and non-numeric columns before uploading.
3. If you’re unsure whether your data are appropriate, consult your organization’s data policy.
4. For detailed methods and interpretation guidance, see the Technical Directions page.
5. Try it with our sample dataset to practice.
Citation
If you use this tool in your work, please cite it as:
Courtney, M. B. (2025). ANOVA & Post Hoc Explorer. Courtney Consulting LLC. (Date Accessed). https://www.freeanalyticstools.com/anova