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Which of the following statements about sampling and estimation is most accurate? A. The standard error of the sample means when the standard deviation of the population is unknown equals s / √n, where s = sample standard deviation. B. The standard deviation of the distribution of the sample means is the standard error of the residual. C. The standard error of the sample means when the standard deviation of the population is known equals σ / √n, where σ = sample standard deviation adjusted by n − 1. D. The probability that a parameter lies within a range of estimated values is given by α. |