{"blocks": [{"key": "b766702f", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "f3262f31", "text": "You are told the current click-through rate (CTR) of a marketing campaign is 4.2%. Leadership asks whether this is good or bad.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "0a0ee40c", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "b07b37ec", "text": "Formally state the null and alternative hypotheses to evaluate if 4.2% CTR meets expectations. Which statistical test would you choose and why? What additional data (e.g., historical CTR, industry benchmarks, sample size) do you need? Compute the p-value and confidence interval, and interpret both statistical and practical significance.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "c85c93b5", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "45172d44", "text": "Model CTR as Binomial; use z-test or Wilson CI; discuss power, effect size, Type I/II errors.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}