The Kruskal-Wallis Test Calculator is a non-parametric statistical tool used to compare differences between three or more independent groups when the assumption of normality is not met. It is an extension of the Mann-Whitney U test and is widely used in research, business analytics, and medical studies where data distributions are skewed or ordinal.

Key Features

✅ Non-Parametric Analysis – Works with ordinal, skewed, or non-normally distributed data.
✅ Supports Multiple Groups – Compare three or more independent samples effectively.
✅ Post-Hoc Pairwise Comparisons – Conduct Dunn’s test for group-specific differences if results are significant.
✅ Graphical Visualization – Displays box plots, rank distributions, and statistical summary tables.
✅ PDF Report Generation – Export test results, pairwise comparisons, and visual insights.

Use Cases

📌 Medical & Clinical Research – Compare treatment effects across multiple patient groups.
📌 A/B Testing & User Experience Studies – Analyze performance differences across multiple product variations.
📌 Education & Psychological Research – Assess differences in test scores or survey responses across groups.
📌 Financial & Economic Analysis – Evaluate investment performance or economic indicators across multiple sectors.

How It Works

1️⃣ Input Data – Enter datasets manually or upload a CSV file containing multiple groups.
2️⃣ Run Kruskal-Wallis Test – The tool calculates the H-statistic, p-value, and ranks for each group.
3️⃣ Analyze Statistical Significance – Determine if at least one group differs significantly from the others.
4️⃣ Perform Post-Hoc Analysis – Conduct Dunn’s test to identify specific group differences.
5️⃣ Visualize & Export Results – View comparison graphs, statistical tables, and download a detailed PDF report.

This tool simplifies non-parametric multi-group hypothesis testing, making it accessible for researchers, analysts, and data scientists. 🚀