{"blocks": [{"key": "4a5f70dc", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "cbf3f886", "text": "A company runs an A/B experiment on a new message-sending method across 30 independent brands; each brand splits users 50/50 into control and test with α = 0.05.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "5d2de113", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "8e4199a5", "text": "Given that 2 brands show a statistically significant lift, 1 shows a statistically significant drop, and the remaining 27 show no significance, what conclusion(s) can you draw? How would you account for multiple testing in your answer?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "9d27f6cf", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "5063748d", "text": "Think about expected false positives at α=0.05, family-wise error rate vs. FDR, and whether observed significant results exceed chance.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}