{"blocks": [{"key": "990ff3cc", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "94d768b8", "text": "100 reviewers each rate 100 YouTube ads on a 1–10 scale; scores must be adjusted for reviewer bias.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "8a578796", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "86c42122", "text": "Propose a modeling framework that produces unbiased ad scores and justify why a mixed-effects linear regression is appropriate.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "c16c183c", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "03902c24", "text": "Treat reviewer as random effect and ad as fixed effect.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}