Dynamic A/B Testing Result Analysis Framework

Create a sophisticated SQL stored procedure for comprehensive A/B testing analysis that automatically calculates statistical significance, effect size, and confidence intervals across multiple test variants. The procedure should handle complex scenarios with unequal sample sizes, support different significance levels (α), and generate detailed reporting with confidence intervals, p-values, and practical significance metrics. Implement robust error handling and support for both parametric and non-parametric statistical tests.