{"blocks": [{"key": "b58b54a1", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "52cb401e", "text": "Modelling the distribution of the number of unique recipients each caller contacts to support capacity and growth planning.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "467375d5", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "2570c64d", "text": "Which statistical distribution would you use to model the number of recipients per caller and how would you test the goodness-of-fit?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "d7cbdcd1", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "b646316f", "text": "Compare Poisson, binomial, negative-binomial; check over-dispersion; fit via maximum likelihood; validate with chi-square, KS test, or AIC.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}