{"blocks": [{"key": "85a9ee6a", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "4a084603", "text": "Statistical role-play: understanding factors that drive airline flight delays", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "aca30cca", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "16f237af", "text": "Given flight-level delay data, how would you statistically determine which factors most impact delays? Which models or hypothesis tests would you apply, and how would you validate their assumptions and interpret results?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "77143904", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "41b144fd", "text": "Consider regression, ANOVA, confidence intervals, seasonality, heteroskedasticity checks.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}