Your question is A/B Testing Basics With Probability. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Explain A/B testing and how probability concepts apply to interpreting results.
Discuss how random assignment creates comparable treatment and control groups, how hypotheses and metrics should be defined, and how probability supports conclusions from observed differences. Address statistical significance, confidence intervals, statistical power, minimum detectable effect, false positives, false negatives, and the distinction between statistical and practical significance.
Because no product, traffic, or time constraints are provided, state the assumptions required for any numerical example. Explain how you would pre-register the analysis and avoid misleading conclusions from repeated checking or poorly chosen metrics.