A news article estimated that only 7% of those ages 65 and older who prefer to watch the news, rather than to read or listen, watch the news online. This estimate was based on a survey of a large sample of adult Americans. Consider the population consisting of all adult Americans ages 65 and older who prefer to watch the news, and suppose that for this population the actual proportion who prefer to watch online is 0.07. the proportion of people who prefer to watch online, will be calculated. What are the mean and standard deviation of the sampling distribution of p? (Round your (a) A random sample of n - 100 people will be selected from this population and standard deviation to four decimal places.) standard deviation (b) is the sampling distribution of approximately normal for random samples of size 0 - 100? Explain. (Select all that apply.) the sampling distribution of p is approximately normal the sampling distribution of is not approximately normal mp is less than 10 np equals 10 mp is greater than 10 n(i-p) is less than 10 nil-p) equals 10 m(1 - p) is greater than 10 (c) Suppose that the sample size is n = 400 rather than n = 100. What are the values for the mean and standard deviation when n = 4002 (Round your standard deviation to four decimal places.) mean standard deviation Does the change in sample size affect the mean and standard deviation of the sampling distribution or p? If not, explain why not. (Select all that apply.) When the sample size increases, the mean increases. When the sample size increases, the mean decreases. When the sample size increases, the mean stays the same. The sampling distribution is always centered at the population mean, regardless of sample size. When the sample size increases, the standard deviation increases. When the sample size increases, the standard deviation decreases. When the sample size increases, the standard deviation stays the same. The standard deviation of the sampling distribution is always the same as the standard deviation of the population distribution, regardless of sample size. - 400? Explain. (Select all that apply.) (d) is the sampling distribution of approximately normal for random samples of size the sampling distribution of p is approximately normal the sampling distribution of is not approximately normal mp is less than 10 np equals 10 np is greater than 10 (1-) is less than 10 n(1-P) equals 10 (1-P) is greater than 10