{"blocks": [{"key": "56ccff13", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "0a7a51aa", "text": "You are analysing comment activity on a social media app to understand whether engagement is evenly spread across posts or dominated by a few viral ones.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "42746977", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "d8efef7b", "text": "How would you quantitatively evaluate the distribution of comments per post? Which metrics or statistical tests would you choose, why, and what hypotheses would you formulate?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "3eb0a686", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "a572be5c", "text": "Consider Gini, Lorenz curve, power-law fit, chi-square or KS tests versus theoretical distribution.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}