{"blocks": [{"key": "b2953cdd", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "5f464b7c", "text": "Role-play as a data scientist asked to investigate flight delays for a major airline", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "a7af0c1d", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "faa461fb", "text": "How would you quantify and model flight delays given historical departure and arrival data? Which statistical tests or confidence intervals would you use to determine if a new mitigation strategy has significantly reduced delays?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "5db25600", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "d1003abb", "text": "Consider distributions of delays, hypothesis testing, confidence levels, and regression or time-series models.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}