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A Population Variable Has a Distribution with a Mean of

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A population variable has a distribution with a mean of = 50 and a variance of 2 = 225.From this population a simple random sample of n observations is to be selected and the mean A population variable has a distribution with a mean of <font face= symbol ></font> = 50 and a variance of <font face= symbol ></font><sup>2</sup> = 225.From this population a simple random sample of n observations is to be selected and the mean   of the sample values calculated.How big must the sample size n be so that the standard deviation of the sample mean   is equal to 1.4 (i.e. ,   = 1.4) ? A) n = 11 B) n = 161 C) n = 115 D) n = 36 E) n = 21 of the sample values calculated.How big must the sample size n be so that the standard deviation of the sample mean A population variable has a distribution with a mean of <font face= symbol ></font> = 50 and a variance of <font face= symbol ></font><sup>2</sup> = 225.From this population a simple random sample of n observations is to be selected and the mean   of the sample values calculated.How big must the sample size n be so that the standard deviation of the sample mean   is equal to 1.4 (i.e. ,   = 1.4) ? A) n = 11 B) n = 161 C) n = 115 D) n = 36 E) n = 21 is equal to 1.4 (i.e. , A population variable has a distribution with a mean of <font face= symbol ></font> = 50 and a variance of <font face= symbol ></font><sup>2</sup> = 225.From this population a simple random sample of n observations is to be selected and the mean   of the sample values calculated.How big must the sample size n be so that the standard deviation of the sample mean   is equal to 1.4 (i.e. ,   = 1.4) ? A) n = 11 B) n = 161 C) n = 115 D) n = 36 E) n = 21 = 1.4) ?


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