Assignment-3: (Chs. 7 and 8): Due by Midnight of Sunday, March 3 2013: Total 70 points (must show work where possible) True/False (1 point each) Chapter 7 1 A sample size of 900 is not large enough to...

Assignment-3: (Chs. 7 and 8): Due by Midnight of Sunday, March 3 2013: Total 70 points (must show work where possible) True/False (1 point each) Chapter 7 1 A sample size of 900 is not large enough to conclude that the sampling distribution of pis a normal distribution, when the estimate of the population proportion is 0.995. 2.The standard deviation of all possible sample proportions increases as the sample size increases. 3. For any sampled population, the population of all sample means is normally distributed. 4.


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Assignment-3: (Chs. 7 and 8): Due by Midnight of Sunday, March 3 2013: Total 70 points (must show work where possible) True/False (1 point each) Chapter 7 1 A sample size of 900 is not large enough to conclude that the sampling distribution of p is a normal distribution, when the estimate of the population proportion is 0.995. 2 .The standard deviation of all possible sample proportions increases as the sample size increases. 3. For any sampled population, the population of all sample means is normally distributed. 4. The mean of the sampling distribution of  X is always equal to the mean of the sampled population. 5. The reason sample variance has a divisor of n-1 rather than n is that it makes the standard deviation an unbiased estimator of the population standard deviation.  Chapter 8 6. First a confidence interval is constructed without using the finite population correction factor. Then, for the same identical data, a confidence interval is constructed using the finite population correction factor. The width of the interval without the finite population correction factor is wider than the confidence interval with the finite population correction factor.  7. When the population is normally distributed and the population standard deviation ? is unknown, then for any sample size n, the sampling distribution of  X is based on the t distribution.  8. When the level of confidence and sample standard deviation remain the same, a confidence interval for a population mean based on a sample of n = 200 will be wider than a confidence interval for a population mean based on a sample of n = 150.  9. When the level of confidence and the sample size remain the same, a confidence interval for a population mean µ will be wider, when the sample standard deviation s is small than when s is large. 10. When the level of confidence and sample standard deviation remain the same, a confidence interval for a population mean based on a sample of n = 100 will be narrower than a...



May 14, 2022
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