QUESTION 5 We have a random sample of size 79. Assume that the assumptions of the CLT are satisfied. Then the sampling mean has a distribution with how many degrees of freedom? QUESTION 6 We have a random sample of size 37. We have information on a variable that has a sample mean 510 and sample standard deviation 37. Assume that the assumptions of the CLT are satisfied. Then the upper limit of the 95% confidence interval for the population mean is: QUESTION 7 Suppose that, in a random sample of 800 US adults, 63% of them say the government has the responsibility to provide health care coverage for all [as a side, this value is in line with the results of a recent Pew Research poll.] What is the relevant parameter of interest? O the proportion of the US population that believes that the government has the responsibility to provide health care coverage for all the proportion of US adults in the sample that believe that the government has the responsibility to provide health care coverage for all the proportion of US adults that believe that the government has the responsibility to provide health care coverage for all QUESTION 8 Suppose that, in a random sample of 800 US adults, 63% of them say the government has the responsibility to provide health care coverage for all. The conditions of the Central Limit Theorem hold because (choose the most appropriate answer) a random sample guarantees that the observations are independent the expected number of successes (0.63*800) is larger than 10 the expected number of failures - i.e. (1-0.63)*800 - is larger than 10 All of the above QUESTION 9 We have a random sample of size 17. We have information on a variable that has a sample standard deviation 73. Assume that the assumptions of the CLT are satisfied. Then the margin of error for a 95% confidence interval for the population mean is