The Wilcoxon Signed-Rank Test Tool is a non-parametric statistical tool used to compare two related (paired) samples to determine if there is a significant difference between them. It is an alternative to the paired t-test when the data is not normally distributed. This tool is widely used in medical studies, business analytics, psychology, and financial research where paired observations need comparison.

Key Features

✅ Non-Parametric Analysis – Ideal for ordinal, skewed, or non-normally distributed paired data.
✅ Supports One-Tailed & Two-Tailed Tests – Choose between directional and non-directional hypotheses.
✅ Effect Size Calculation – Computes the rank-biserial correlation for measuring the strength of differences.
✅ Graphical Visualization – Displays paired data plots, rank distributions, and statistical summaries.
✅ PDF Report Generation – Export test results, interpretations, and visual representations.

Use Cases

📌 Medical & Clinical Research – Compare pre-treatment and post-treatment effects on the same subjects.
📌 A/B Testing & Product Evaluations – Assess user behavior changes before and after an intervention.
📌 Psychological & Social Studies – Analyze changes in survey responses or behavioral patterns.
📌 Financial & Economic Analysis – Compare stock prices, sales, or other financial metrics over time.

How It Works

1️⃣ Input Paired Data – Enter two related datasets manually or upload a CSV file.
2️⃣ Select Test Type – Choose one-tailed or two-tailed Wilcoxon signed-rank test.
3️⃣ Run Analysis – The tool calculates the W-statistic, p-value, effect size, and ranks.
4️⃣ Analyze Statistical Significance – Determine if there is a meaningful difference between paired samples.
5️⃣ Visualize & Export Results – View paired comparisons, box plots, and download a detailed PDF report.

This tool simplifies paired sample hypothesis testing, making it accessible for researchers, analysts, and data scientists. 🚀