The Mann-Whitney U Test Tool is a non-parametric statistical tool used to compare differences between two independent groups when the assumption of normality is not met. It is widely used in research, business analytics, and medical studies where data may not follow a normal distribution.

Key Features

✅ Non-Parametric Analysis – Works with ordinal, skewed, or non-normally distributed data.
✅ Effect Size Calculation – Computes the rank-biserial correlation for interpreting the strength of differences.
✅ Customizable Confidence Level – Choose 90%, 95%, or 99% confidence intervals.
✅ Graphical Visualization – Displays box plots, histograms, and rank distributions for comparison.
✅ PDF Report Generation – Export results, statistical interpretations, and graphical insights.

Use Cases

📌 Medical & Clinical Research – Compare treatment outcomes when data is non-normally distributed.
📌 A/B Testing & Marketing Analytics – Analyze conversion rates or user behavior differences.
📌 Social & Psychological Studies – Compare survey responses or behavioral data between groups.
📌 Financial & Economic Analysis – Assess differences in investment returns or economic indicators.

How It Works

1️⃣ Input Data – Enter two datasets manually or upload a CSV file.
2️⃣ Run Mann-Whitney U Test – The tool calculates the U statistic, p-value, and effect size.
3️⃣ Analyze Statistical Significance – Determine if there is a meaningful difference between groups.
4️⃣ Visualize Results – View comparison graphs, including box plots and rank distributions.
5️⃣ Download PDF Report – Export the full analysis, including test statistics and graphical insights.

This tool simplifies rank-based hypothesis testing, making it accessible for researchers, analysts, and data scientists. 🚀