Analyzing the Efficacy of A.B. Testing in Business Decisions

This chapter critically evaluates the shortcomings of A.B. testing in real-world business contexts, questioning the practicality of the 95% confidence interval and emphasizing the need for a more adaptable approach to decision-making. It highlights how while A.B. testing can be valuable in precision-driven operations like Amazon, its universal application may be limited.