Data Science, Statistics, Analytics, Experiment, Causality.
a one-sided test. We usually care more about the sign than the magnitude unless implementing the alternative comes with a change in operational cost. The last one relates to how A/B testing is often used for decision making. Consider the scenarios: B significantly better than A. Ship B. B