{"blocks": [{"key": "46aa92d7", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "f58ed2d6", "text": "You are advising on the design and analysis of an A/B test for a new feature.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "6cd317ec", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "f12a3112", "text": "Explain what a p-value represents in an experiment context.", "type": "unordered-list-item", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "1d21ac3c", "text": "Define Type-I and Type-II errors with business examples.", "type": "unordered-list-item", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "442abd72", "text": "Describe Simpson’s Paradox and its danger in experiment readouts.", "type": "unordered-list-item", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "ccc25cf2", "text": "How would you select primary, secondary, and guard-rail metrics?", "type": "unordered-list-item", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "076d4d76", "text": "Name and briefly describe two causal-inference methods you would use if randomization were impossible.", "type": "unordered-list-item", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "5495fd76", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "893a380f", "text": "Cover hypothesis testing framework, practical significance, stratification, diff-in-diff, propensity scores.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}