The Bartlett’s Test for Homogeneity of Variance is a statistical tool used to test whether multiple groups have equal variances. It is particularly useful in ANOVA, regression analysis, and other statistical tests that assume equal variances across groups. This tool helps researchers determine if variance differences are statistically significant, ensuring accurate and reliable statistical inferences.

Key Features

✅ Multiple Group Variance Comparison – Tests homogeneity of variance across multiple datasets.
✅ Customizable Confidence Levels – Choose from 90%, 95%, or 99% confidence intervals.
✅ Chi-Square-Based Test Calculation – Computes the Bartlett statistic and p-value for variance comparison.
✅ Graphical Visualization – Displays variance distributions, box plots, and homogeneity checks.
✅ PDF Report Generation – Export statistical results, interpretations, and graphical insights.

Use Cases

📌 ANOVA Assumption Testing – Ensure equal variances before running ANOVA tests.
📌 Scientific & Medical Research – Compare variance in clinical trial data across treatment groups.
📌 Quality Control & Manufacturing – Assess variability in product performance across different batches.
📌 Financial Risk Analysis – Evaluate the consistency of volatility in stock market data across multiple time periods.

How It Works

1️⃣ Input Data – Enter multiple datasets manually or upload a CSV file.
2️⃣ Run Bartlett’s Test – The tool calculates the Bartlett statistic and p-value to determine homogeneity.
3️⃣ Analyze Statistical Significance – If the p-value is low, variances across groups are significantly different.
4️⃣ Visualize Results – View box plots, variance distribution charts, and homogeneity checks.
5️⃣ Download PDF Report – Export the full analysis, including statistical interpretations and visual representations.

This tool simplifies variance testing, making it essential for researchers, analysts, and data-driven professionals. 🚀