2 Question 10 of 10 This test: 10 point(s) possible This question: 1 point(s) possible The accompanying data represent the total travel tax (in dollars) for a 3-day business trip in 8 randomly selected cities. A normal probability plot suggests the data could come from a population that is normally distributed outliers. Complete parts (a) through (c) below. 68.03 80.25 67.07 82.15 79.73 88.13 101.95 98.85 (a) Determine a point estimate for the population mean travel tax. A point estimate for the population mean travel tax is $ (Round to two decimal places as needed.) (b) Construct and interpret a 90% confidence interval for the mean tax paid for a three-day business trip. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to two decimal places as needed.) OA. One can be OB. The travel tax is between S OC. There is a % confident that all cities have a travel tax between S and S and S for % of all cities. % probability that the mean travel tax for all cities is between S and S OD. One can be % confident that the mean travel tax for all cities is between $ and S (c) What would you recommend to a researcher who wants to increase the precision of the interval, but does not have access to additional data? The researcher could the Activate W 9.2 Question 8 of 10 This test: 10 point(s) possible This question: 1 point(s) possible A nutritionist wants to determine how much time nationally people spend eating and drinking. Suppose for a random sample of 1038 people age 15 or older, the mean amount of time spent eating or drinking per day is 1. of 0.59 hour. Complete parts (a) through (d) below. (a) A histogram of time spent eating and drinking each day is skewed right. Use this result to explain why a large sample size is needed to construct a confidence interval for the mean time spent eating and drinking each OA. Since the distribution of time spent eating and drinking each day is normally distributed, the sample must be large so that the distribution of the sample mean will be approximately normal. OB. The distribution of the sample mean will always be approximately normal. O C. Since the distribution of time spent eating and drinking each day is not normally distributed (skewed right), the sample must be large so that the distribution of the sample mean will be approximately normal. OD. The distribution of the sample mean will never be approximately normal. (b) There are more than 200 million people nationally age 15 or older. Explain why this, along with the fact that the data were obtained using a random sample, satisfies the requirements for constructing a confidence in OA. The sample size is less than 10% of the population. OB. The sample size is less than 5% of the population. OC. The sample size is greater than 10% of the population. OD. The sample size is greater than 5% of the population. (c) Determine and interpret a 90% confidence interval for the mean amount of time Americans age 15 or older spend eating and drinking each day. Select the correct choice below and fill in the answer boxes, if applicable, in your choice. (Type integers or decimals rounded to three decimal places as needed. Use ascending order.) OA. The nutritionist is 90% confident that the amount of time spent eating or drinking per day for any individual is between and hours. OB. There is a 90% probability that the mean amount of time spent eating or drinking per day is between OC. The nutritionist is 90% confident that the mean amount of time spent eating or drinking per day is between and and hours. hours. Activat & 9.2 Question 9 of 10 This test: 10 point(s) possible This question: 1 point(s) possible A survey was conducted that asked 963 people how many books they had read in the past year. Results indicated that x=13.8 books and s=152 books Construct a 98% confidence interval for the mean number of boc interval. Construct a 98% confidence interval for the mean number of books people read and interpret the result. Select the correct choice below and fill in the answer boves to complete your choice. (Use ascending order. Round to two decimal places as needed.) OA. There is 98% confidence that the population mean number of books read is between OB. There is a 98% probability that the true mean number of books read is between OC. If repeated samples are taken, 98% of them will have a sample mean between and and and