A/B Test Analysis Evaluate A/B test results with statistical rigor and translate findings into clear product decisions. Context You are analyzing A/B test results for $ARGUMENTS . If the user provides data files (CSV, Excel, or analytics exports), read and analyze them directly. Generate Python scripts for statistical calculations when needed. Instructions 1. Understand the experiment : - What was the hypothesis? - What was changed (the variant)? - What is the primary metric? Any guardrail metrics? - How long did the test run? - What is the traffic split? 2. Validate the test setup : - Sample…