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Unformatted text preview: a. the population being sampled is normal, or b. the population is non-normal but the samples are at least moderately large ( n > 30) Part b is an approximation that follows from the Central Limit Theorem. According to the Central Limit Theorem, the sampling distribution of the sample mean looks more and more normal as the sample size increases beyond n = 30. Decision Paths Standard Error of the Mean Population infinite finite- N- - n/N 1 n x = 1--= N n N n x 1999 by Harvey A. Singer 2 Probabilities Population normal non-normal n x z -= sample size n ? (1) large small n 30 n < 30 n x z-= ? (1, 2) Notes (1) z follows the standard normal distribution. Use s if unknown (unavailable). (2) Approximately normal by Central Limit Theorem. 1999 by Harvey A. Singer 3...
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This note was uploaded on 01/26/2011 for the course OM 210 taught by Professor Singer during the Fall '08 term at George Mason.
- Fall '08