{"blocks": [{"key": "d9792f18", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "b7f51884", "text": "General statistics knowledge check during analytics interview.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "719ee219", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "9781e818", "text": "State the Central Limit Theorem and explain why it matters for A/B testing. 2. Given a sample mean of 3, known population standard deviation of 1, and n = 400, construct a 95% confidence interval for the mean. 3. Sketch the sampling distribution on a whiteboard and mark the confidence bounds.", "type": "unordered-list-item", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "83c7570f", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "07a82592", "text": "CLT: sampling distribution of the mean approaches normal; CI = mean ± 1.96*σ/√n.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}