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The central limit theorem states that when the sample size is large, approximately 95% of the sample means of same-size samples taken from a population
The central limit theorem states that when the sample size is large, approximately 95% of the sample means of same-size samples taken from a population will fall within +1.96 standard errors of the population mean, that is, y = 1.96 (0/vn)
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Understandable Statistics Concepts And Methods
Authors: Charles Henry Brase, Corrinne Pellillo Brase
9th Edition
0618986928, 978-0618986927
