{"blocks": [{"key": "afa65095", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "59476061", "text": "You only keep samples from a normal distribution that are greater than 1.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "eb15db1d", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "3b97c9b4", "text": "a) What is this resulting distribution called? b) Give its formal PDF/CDF definition. c) Describe at least two different ways to generate random samples directly from this truncated normal distribution.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "d794621a", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "0819026e", "text": "CDF inversion and rejection/Monte-Carlo sampling are both acceptable.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}