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      Question

      What is 'A/B testing' in data

      analytics?
      A Comparing the performance of Algorithm A vs Algorithm B on the same Machine Learning task Correct Answer Incorrect Answer
      B A controlled experiment that compares two versions (A = control, B = treatment) of a system/feature Correct Answer Incorrect Answer
      C A data quality test comparing two datasets (Dataset A and Dataset B) for consistency Correct Answer Incorrect Answer
      D A security testing methodology using two different penetration testing teams (Team A and Team B) Correct Answer Incorrect Answer
      E A backup testing method comparing primary (A) and secondary (B) data storage Correct Answer Incorrect Answer

      Solution

      A/B Testing process:  • Define hypothesis (Version B will improve conversion by 10%) • Randomly split users (50% see A, 50% see B) • Measure outcome metric (click-through rate, conversion, revenue) • Apply statistical significance test (t-test, chi-square) to determine if difference is real or chance • Make data-driven decision.  In this testing, statistical power, sample size, and running time are critical.  Banking A/B tests can be done to find: • Which loan offer email subject line generates more applications?  • Does a simplified KYC flow improve account opening completion?  • Does a chatbot reduce call centre volume? 

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