What is the minimum sample size (whole number) for a study of STOP sign compliance with proportion of 0.3drivers expected to obey the STOP sign. Compliance rate is estimated within permitted error of 7 % at aconfidence level of 0.938.Confidence LevelK value3262668821530.901.6450.951.9600.962.0540.982.3260.992.5760.9983.090

Given information: p = 0.30 Margin of error=7%=0.07 Confidence level = 0.938 Minimum sample size = ?…

Answered: What is the minimum sample size (whole…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Construct a confidence interval for a population mean. In order to estimate the number of 911 calls at the emergency operations center (EOC) in Pineville, volunteers randomly contacted 40 similar EOCs around the nation. They learned that the Mean is 42.0 calls per month and that the Standard Dev is 6.5 calls per month. Construct a 95% confidence interval of the mean calls at the EOCs per month.
A study of 420,098 cell phone users found that 0.0324% of them developed cancer of the brain or nervous system. Prior to this study of cell phone use, the rate of such cancer was found to be 0.0335% for those not using cell phones. Complete parts (a) and (b). a. Use the sample data to construct a 95% confidence interval estimate of the percentage of cell phone users who develop cancer of the brain or nervous system Do not round until the final answer. Then round to three decimal places as needed.] R
To decide what personnel requirements should be enforced, a hospital manager wants to estimate the mean number of people who are admitted to the emergency room during a 24-hour period. The director randomly selects 48 different 24-hour periods and counts the number of admissions for each. In his sample, the sample mean is 296 and the sample standard deviation is 89. Estimate the mean number of admissions per 24-hour period with a 95% confidence interval.
The Highway Safety Department wants to study the driving habits of individuals. A sample of 81 cars traveling on the highway revealed an average speed of 67 miles per hour with a standard deviation of 9 miles per hour. a. Compute the standard error of the mean. b. Determine a 99% confidence interval estimate for the speed of all cars.
Suppose a study was conducted of community colleges in California to determine the average cost of tuition for in-state students. The study consisted of 45 community colleges from California. Based on the sample data, the average tuition was $1,440 and the standard deviation was $267. Use this information to construct and interpret a 92% confidence interval for the true average tuition of all California community colleges. Make sure to check any relevant assumptions and state how you determined whether or not they were satisfied (Be as specific as possible). Make sure to type your confidence interval in an interval format with each bound rounded to 3 decimal places [i.e. (12.345, 45.678)]
The International Air Transport Association surveys business travelers to develop quality ratings for transatlantic gateway airports. The maximum possible rating is 10. Suppose a simple random sample of 50 business travelers is selected and each traveler is asked to provide a rating for the Miami International Airport. The ratings obtained from the sample of 50 business travelers follow. 9 1 1 1 8 8 8 9 1 8 9 8 1 8 8 7 7 5 8 4 9 8 9 1 1 7 7 Develop a 95% confidence interval estimate of the population mean rating for Miami. Round your answers to two decimal places. 4 7 6 8 8 4 I 10 10 1 1 8 7 8 8 10 7 9 7 8 1 6 10 7
31 packages are randomly selected from packages received by a parcel service. The sample has a mean weight of 15.6 pounds. Assume that stdv = 2.2 pounds. What is the 95% confidence interval for the true mean weight, u, of all packages received by the parcel service?
A study of 420 comma 026 cell phone users found that 140 of them developed cancer of the brain or nervous system. Prior to this study of cell phone use, the rate of such cancer was found to be 0.0434 % for those not using cell phones. Complete parts (a) and (b). a. Use the sample data to construct a 90% confidence interval estimate of the percentage of cell phone users who develop cancer of the brain or nervous system. b. Do cell phone users appear to have a rate of cancer of the brain or nervous system that is different from the rate of such cancer among those not using cell phones? Why or why not?
A real estate agent wants to know if tax assessors and real estate appraisers closely agree on the values of homes. A random sample of the two independent groups evaluated 12 homes. The data is given below. Tax Assessors Real Estate Appraisers x̄1 = $102,344 x̄2 = $105,827 s1 = $3,952 s2 = $4,341 n1 = 12 n2 = 12 Construct a confidence interval for the mean difference in the home values for each group. A real estate agent wants to know if tax assessors and real estate appraisers closely agree on the values of homes. A random sample of the two independent groups evaluated 12 homes. The data is given below. Tax Assessors Real Estate Appraisers x̄1 = $102,344 x̄2 = $105,827 s1 = $3,952 s2 = $4,341 n1 = 12 n2 = 12 Construct a confidence interval for the mean difference in the home values for each group. (-6999, 33.302) (-6998, 31.516) (-8264, 1297.8) (-6804, -161.5)
29 packages are randomly selected from packages received by a parcel service. The sample has a mean weight of 20.5 pounds. Assume that o = 2.4 pounds. What is the 95% confidence interval for the true mean weight, H, of all packages received by the parcel service? O 19.2 to 21.8 pounds O 19.4 to 21.6 pounds O 19.3 to 21.7 pounds O 19.6 to 21.4 pounds
1. At the 95% confidence what is the margin of error? 2. Determine a 95% confidence interval estimate for the mean weight of the carry on luggage

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