Question

4. Definition of Confidence Intervals (Section 6.1) Circle your answer, True of False. • A 99% confidence interval means that there is a 99% probability that the population mean, M, is in the interval. True / False • A 90% confidence interval means that if a large number of samples are taken, 90% of these samples would contain the actual mean, M. True / False 5. A nurse at a local hospital is interested in estimating the birth weight of infants. How large a sample must she select if she desires to be 95% confident that the true mean is within ounces of the sample mean? The population standard deviation of the birth weights is known to be 6 ounces. (Section 6.1)

Answer 1

Solution:
4. option A. True

option A. True

5. Given that E = 3, σ = 6, 95% Confidence interval for Z = 1.96

n = (Z*σ/E)^2 = (1.96*6/3)^2 = 15.3664

sample n = 16