You are interested in finding a 98% confidence interval for the average number of days of class that college students miss each year. The data below show the number of missed days for 12 randomly selected college students. 11 12 4 4 10 a. To compute the confidence interval use a ? v distribution. b. With 98% confidence the population meannumber of days of class that college students miss is between and days. c. If many groups of 12 randomly selected non-residential college students are surveyed, then a different confidence interval would be produced from each group. About percent of these confidence intervals will contain the true population mean number of missed class days and about percent will not contain the true population mean number of nmissed class, days. Hint: Hints Video Textbook elf Dain

You are interested in finding a 98% confidence interval for the mean number of visits for physical therapy patients. The data below show the number of visits for 11 randomly selected physical therapy patients. Round answers to 3 decimal places where possible.   27 5 28 22 15 9 16 10 25 18 5   a. To compute the confidence interval use a   Z OR T   distribution. b. With 98% confidence the population mean number of visits per physical therapy patient is between  ?  and   ? visits. c. If many groups of 11 randomly selected physical therapy patients are studied, then a different confidence interval would be produced from each group. About  ? percent of these confidence intervals will contain the true population mean number of visits per patient and about  ? percent will not contain the true population mean number of visits per patient.

Next Question A statistics instructor randomly selected four bags of oranges, each bag labeled 10 pounds, and w that the distribution of weights is Normal. Find a 95% confidence interval for the mean weight of all bags of oranges. Use technology for your calculations. Answer parts a and b ley weighed 9.3, 9.1, 9.5, and 9.6 pounds. D Assume below. a. Choose the correct interpretation of the confidence interval below and, if necessary, fill in the answer boxes to complete your choice. O A. We are 95% confident that the sample mean is between and O B. There is a 95% chance that all intervals will be between and O C. We are 95% confident the population mean is between and O D. The requirements for constructing a confidence interval are not satisfied. (Type integers or decimals rounded to the nearest thousandth as needed. Use ascending order.) b. Does the interval capture 10 pounds? Is there enough evidence to reject the null hypothesis that the population mean weight is 10 pounds? Explain…

You are interested in finding a 98% confidence interval for the average commute that non-residential students have to their college. The data below show the number of commute miles for 14 randomly selected non-residential college students.   8 6 20 26 11 21 23 10 9 23 16 24 23 17   a. To compute the confidence interval use a ? z t  distribution. b. With 98% confidence the population mean commute for non-residential college students is between  and   miles. c. If many groups of 14 randomly selected non-residential college students are surveyed, then a different confidence interval would be produced from each group. About  percent of these confidence intervals will contain the true population mean number of commute miles and about  percent will not contain the true population mean number of  commute miles.

1. You are interested in finding a 95% confidence interval for the average commute that non-residential students have to their college. The data below show the number of commute miles for 10 randomly selected non-residential college students. Round answers to 3 decimal places where possible. 17 14 23 20 27 27 22 12 7 23 a. To compute the confidence interval use a distribution. b. With 95% confidence the population mean commute for non-residential college students is between and miles. Please state what command(s) you typed into your calculator. MIDDLESEX c. If many groups of 10 randomly selected non-residential college students are surveyed, then a different confidence interval would be produced percent of these confidence intervals will from each group. About contain the true population mean number of commute miles and about percent will not contain the true population mean number of

9 Next TWO questions are related to the following sample data: Jane, a statistics student, wants to build a confidence interval with a 95% confidence level for the mean commuting distance of all IUPUI students. She selects a random sample of students and obtains the following commuting distance data. The data show the distance from the student residence to the campus in miles). b C d 11 b 8:19 1 d Done 12 8.6 23 8.3 9.1 22.6 8.2 14 12.3 14.9 9.4 16.5 12.7 14.9 0.395 0.359 0.326 19 48 10.2 10.7 4.7 14.4 20.1 28.5 29.6 18 7.5 13.1 16 12.4 17.3 16.7 11.9 61 71 83 97 The standard error of the mean is, 0.434 14.93 14.59 E270 T5 Armour, Tori.xlsx 14.24 13.67 29 38 31 39 10.8 20.9 13.5 17.9 11.1 35.4 34.1 33.0 31.9 13 13.2 10.1 14.1 12.6 11.5 12.2 13.2 14.7 19.7 19.3 38 26 30 12.9 14.7 17.4 13.1 12.8 10.9 10.3 21.2 7.6 8.2 The confidence interval with a 95% confidence level is 26.1 27.4 10 The interval estimate is, 11.83 12.18 12.52 13.10 Next two questions are related to the following sample…

A statistics instructor randomly selected four bagn of oranges, each bag labeled 10 pounds, and weighed the bags. They weighed 9.5, 9.7,9.5, and 9.5 pounds. O Assume that the distribution of weights is Normal. Find a 95% confidence interval for the mean weight of all bags of oranges. Use technology for your calculations Answer parts a and b below. a. Choose the correct interpretation of the confidence interval below and, if necessary, fil in the answer boxes to complete your choice. OA. We are 95% confident the population mean is betweenand OB. We are 95% confident that the sample mean is between and OC. There is a 95% chance that all ntervals will be between and OD. The requirements for constructing a confidence interval are not satisfied. (Type integers or decimals rounded to the nearest thousandth as needed. Use ascending order.) nti ou Res "ptil atie

You are interested in finding a 95% confidence interval for the average commute that non- residential students have to their college. The data below show the number of commute miles for 11 randomly selected non-residential college students. Round answers to 3 decimal places where possible. 11 10 17 10 27 15 20 8 10 8 12 a. To compute the confidence interval use a ?v distribution. b. With 95% confidence the population mean commute for non-residential college students is between and miles. c. If many groups of 11 randomly selected non-residential college students are surveyed, then a different confidence interval would be produced from each group. About percent of these confidence intervals will contain the true population mean number of commute miles and about percent will not contain the true population mean number of commute miles.

Tina catches a 14-pound bass.  She does not know the population mean or standard deviation.  So she takes a sample of five friends and they say the last bass they caught was 9, 12, 13, 10, and 10 pounds.  Find the t and calculate a 95% (α = .05) confidence interval.

You are interested in finding a 90% confidence interval for the average commute that non-residential students have to their college. The data below show the number of commute miles for 14 randomly selected non-residential college students. Round answers to 3 decimal places where possible.   5 8 11 10 12 19 24 6 26 10 26 10 26 15   a. To compute the confidence interval use a     distribution. b. With 90% confidence the population mean commute for non-residential college students is between  and   miles. c. If many groups of 14 randomly selected non-residential college students are surveyed, then a different confidence interval would be produced from each group. About  percent of these confidence intervals will contain the true population mean number of commute miles and about  percent will not contain the true population mean number of  commute miles.