Probabilistic A/B Testing Statistical Engine

Design a comprehensive Python A/B testing statistical analysis framework that goes beyond basic significance testing. Develop a system using scipy and numpy that calculates multiple statistical measures including Bayesian probability of superiority, expected loss, and sequential testing capabilities. The framework should support complex experimental designs, handle multiple variants, and generate interactive reports with visual confidence interval representations.