🎯 Hypothesis Test
"Provinces with stronger political dynasties show higher poverty rates"
📈Overall Statistics
High-level overview of the dataset analyzed
🎯Dynasty Concentration Analysis (HHI)
The Herfindahl-Hirschman Index (HHI) measures dynasty concentration by province. Higher values indicate greater dynasty dominance (less political competition).
📊 Key Interpretation
📉Inequality Analysis (Gini Coefficient)
The Gini coefficient measures inequality in distribution. 0 = perfect equality, 1 = perfect inequality.
📊 Interpretation
📈Dynasty-Poverty Correlation
Statistical correlation between dynasty strength (dynasty count) and poverty rates.
📊 Interpretation
🔍Evidence Summary
Breakdown of statistical tests
🏆Top 10 Provinces by Dynasty Concentration
Provinces with the highest dynasty concentration (HHI)
| Rank | Province | Top Dynasty | Dynasty Count | Poverty Rate |
|---|
🏆Top 10 Provinces by Poverty Rate
Provinces with the highest poverty rates
| Rank | Province | Poverty Rate (%) | Top Dynasty | Dynasty Count |
|---|
📚 Statistical Methods Used
- Herfindahl-Hirschman Index (HHI): Measures dynasty concentration by summing the squares of dynasty market shares within provinces
- Gini Coefficient: Measures statistical dispersion representing inequality in dynasty or poverty distribution
- Pearson Correlation: Measures linear relationship between dynasty strength and poverty rates
- Spearman Correlation: Non-parametric measure of rank correlation
- Simple Linear Regression: Tests if dynasty strength predicts poverty rates