The F-Test for Variance Comparison Tool is a statistical tool used to compare the variances of two independent samples to determine if they are significantly different. It is commonly used in quality control, financial risk analysis, and experimental research where understanding variability is crucial.

Key Features

✅ Variance Comparison of Two Samples – Determines if the two groups have equal or significantly different variances.
✅ Customizable Confidence Level – Choose from 90%, 95%, or 99% confidence intervals.
✅ Two-Tailed & One-Tailed Testing – Supports both equality and directional variance testing.
✅ Graphical Visualization – Displays variance distributions and F-distribution curves.
✅ PDF Report Generation – Export test results, calculations, and visual interpretations.

Use Cases

📌 Quality Control & Manufacturing – Assess variability in product performance across different batches.
📌 Financial Risk Analysis – Compare volatility between two investment portfolios or stock returns.
📌 Medical & Scientific Research – Test homogeneity of variance before conducting further statistical analyses.
📌 A/B Testing & Marketing Analytics – Evaluate the variance in conversion rates or user engagement between two designs.

How It Works

1️⃣ Input Data – Enter two datasets manually or upload a CSV file.
2️⃣ Run F-Test – The tool computes the F-statistic and p-value.
3️⃣ Analyze Statistical Significance – Determine if the variances of the two samples are significantly different.
4️⃣ Visualize Results – View variance distribution graphs and F-distribution curves.
5️⃣ Download PDF Report – Export the full statistical analysis, including interpretations and visualizations.

This tool simplifies variance comparison, making it essential for researchers, analysts, and quality control professionals. 🚀