1-20chapter stats

33 d 6750 8250 121 the weight of a product is measured

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: es B. No 1-645 Chapter 01 - An Introduction to Business Statistics 133. A PGA (Professional Golf Association) tournament organizer is attempting to estimate the average number of strokes for the 13th hole on a given golf course. On a particular day, 64 players completed the play on the 13th hole with average of 4.25 strokes and a population standard deviation of 1.6 strokes. Determine the 95% confidence interval for the average number of strokes. A. [3.94 4.56] B. [3.86 4.64] C. [4.05 4.45] D. [3.92 4.58] 134. The quality control manager of a tire company wishes to estimate the tensile strength of a standard size of rubber used to make a class of radial tires. A random sample of 61 pieces of rubber from different production batches is subjected to a stress test. The test measures the force (in pounds) needed to break the rubber. According to the sample results, the average pressure is 238.4 pounds with a population standard deviation of 35 pounds. Determine the 98% confidence interval. A. [227.96 248.82] B. [236.64 240.16] C. [233.63 243.17] D. [229.21 247.59] 135. An insurance analyst working for a car insurance company would like to determine the proportion of accident claims covered by the company. A random sample of 240 claims shows that the insurance company covered 90 accident claims while 150 claims were not covered. Use a confidence interval of 95% and determine the margin of error. A. 01513 B. 03125 C. 06125 D. 02965 1-646 Chapter 01 - An Introduction to Business Statistics 136. An insurance analyst working for a car insurance company would like to determine the proportion of accident claims covered by the company. A random sample of 200 claims shows that the insurance company covered 80 accident claims while 120 claims were not covered. Construct a 90% confidence interval estimate of the true proportion of claims covered by the insurance company. A. [.356 .444] B. [.360 .440] C. [.372 .428] D. [.343 .457] 137. A computer manufacturing company has sent a mail survey to 2800 of its randomly selected customers that have purchased a new personal computer. The survey asked the customers whether or not they were satisfied with the computer. 800 customers responded to the survey. 640 customers indicated that they were satisfied, while 160 customers indicated they were not satisfied with their new computer. Construct a 96% confidence interval estimate of the true proportion of customers satisfied with their new computer. A. [.786 .814] B. [.788 .812] C. [.775 .825] D. [.785 .816] 138. A car insurance company would like to determine the proportion of accident claims covered by the company. According to a preliminary estimate 60% of the claims are covered. How large a sample should be taken to estimate the proportion of accident claims covered by the company if we want to be 98% confident that the sample percentage is within ± 3% of the actual percentage of the accidents covered by the insurance company? A. 348 B. 1508 C. 1887 D. 1448 1-647 Chapter 01 - An Introduction to Business Statistics 139. A statistical quality control process for cereal production measures the weight of a cereal box. The population standard deviation is known to be .06 ounces. In order to achieve a 97% confidence with a margin of error of .02 ounces, how large a sample should be used? A. 32 B. 43 C. 7 D. 664 140. The production manager for the XYZ manufacturing company is concerned that the customer orders are being shipped late. He asked one of his planners to check the timeliness of shipments. The planner randomly selected 1000 orders and found that 120 orders were shipped late. Construct the 95% confidence interval for the proportion of orders shipped late. A. [.0999 .1401] B. [.1135 .1265] C. [.0619 .1781] D. [.1011 .1389] 141. Research has been conducted that studies the role that the age of workers has in determining the hours per month spent on personal tasks. A sample of 1,686 adults were observed for one month. The data are: Construct an 88% confidence interval for the mean hours spent on personal tasks for 18-24 year olds. A. [4.09 4.25] B. [4.11 4.23] C. [4.08 4.26] D. [4.14 4.20] E. [4.15 4.19] 1-648 Chapter 01 - An Introduction to Business Statistics 142. Research has been conducted that studies the role that the age of workers has in determining the hours per month spent on personal tasks. A sample of 1,686 adults were observed for one month. The data are: Construct a 93% confidence interval for the mean hours spent on personal tasks for 45-64 year olds. A. [4.26 4.36] B. [4.25 4.37] C. [4.27 4.35] D. [4.28 4.34] E. [2.83 5.79] 143. Unoccupied seats on flights cause airlines to lose revenue. Suppose a large airline wants to estimate its average number of unoccupied seats per flight over the past year. 225 flight records are randomly selected and the number of unoccupied seats is noted with a sample mean of 11.6 seats and a standard deviation of 4.1 seats. Calculate a 95% confidence interval for , the mean number of unoccupied seats per flight d...
View Full Document

Ask a homework question - tutors are online