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Probability and Statistics · Central Limit Theorem
Why sample means look normal even when the data doesn't, the σ/√n standard error, and a simulation from a skewed distribution.
- Means of large enough samples are approximately normal, whatever the shape of the original data.
- The spread of the sample mean shrinks like σ/√n.