Drop down for (a):Right skewedApproximately NormalLeft Skewed Drop down for (b1)Would Would notDrop down for (b2)Greater thanLess thanDrop down for (c1)Would Would notDrop down for (c2)Greater thanLess thanDrop down for (d1)Greater than Less thanDrop down (d2)Is Is not
Suppose a paper describes a study of 800 adults living in Belgium, Suppose that it is reasonable to regard this sample as a random sample of adults living in Belgium. You want to use the survey data to decide if there is evidence that a majority of adults living in Belgium take their cell phones to bed with them. Let p denote the population proportion of all adults living in Belgium who take their cell phones to bed with them. (Hint: See Example 10.10. Use a table or SALT.) LA USE SALT (a) Describe the shape, center, and variability of the sampling distribution of p for random samples of size 800 if the null hypothesis Ho: p = 0.50 is true. (Round your standard deviation to four decimal places.) The shape of the sampling distribution is -Select- B . The sampling distribution is centered at up = The standard deviation of the sampling distribution is (b) Would you be surprised to observe a sample proportion as large as p = 0.51 for a sample of size 800 if the null hypothesis Ho: p = 0.50 were true? Explain why or why not. (Round your answer to four decimal places.) I --Select- @ be surprised to observe a sample proportion of p = 0.51 for a sample of size 800 if the null hypothesis Ho: p = 0.5 is true. The probability of a sample proportion this large or larger is which is -Select-- @ the acceptance level of 0.05. (c) Would you be surprised to observe a sample proportion as large as p = 0.55 for a sample of size 800 if the null hypothesis Ho: p = 0.50 were true? Explain why or why not. (Round your answer to four decimal places.) I --Select-- @ be surprised to observe a sample proportion of p = 0.55 for a sample of size 800 if the null hypothesis Ho: p = 0.5 is true. The probability of a sample proportion this large or larger is which Is -Select- @ the acceptance level of 0.05. (d) The actual sample proportion observed in the study was p = 0.59. Based on this sample proportion, is there convincing evidence that the null hypothesis Ho: p = 0.50 is not true, or is p consistent with what you would expect to see when the null hypothesis is true? Support your answer with a probability calculation. (Round your answer to four decimal places.) Since probability of a sample proportion this large or larger is which is -Select- @ the acceptance level of 0.05, there -Select- @ convincing evidence that the null hypothesis Ho: p = 0.50 is not true. (e) Do you think it would be reasonable to generalize the conclusion of this test to adults living in the United States? Explain why or why not. Yes, It is reasonable to generalize this conclusion to adults living in the U.S. because the sample size was greater than 1,000. Yes, it is reasonable to generalize this conclusion to adults living in the U.S. because the sample was of adults. No, it is not reasonable to generalize this conclusion to adults living in the U.S. because the sample was of adults living in Belgium. No, It is not reasonable to generalize this conclusion to adults living in the U.S. because the sample size was less than 1,000. No, It is not reasonable to generalize this conclusion to adults living in the U.S. because the sample proportion is too low
