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A researcher wishes to estimate the average blood alcohol concentration (BAC) for drivers involved in fatal accidents who are found to have positive BAC values. He randomly selects records from 51 such drivers in 2009 and determines the sample mean BAC to be 0.17 g/dL with a standard deviation of 0.060 g/dL. Complete parts (a) through (c) below. D (b) Recently there were approximately 25,000 fatal crashes in which the driver had a positive BAC. Explain why this, along with the fact that the data were obtained using a simple random sample, satisfies the requirements for constructing a confidence interval. OA. The sample size is likely less than 10% of the population. OB. The sample size is likely less than 5% of the population. OC. The sample size is likely greater than 5% of the population. OD. The sample size is likely greater than 10% of the population. complete your choice. (c) Determine and interpret a 90% confidence interval for the mean BAC in fatal crashes in which the driver had a positive BAC. Select the correct choice below and fill in the answer boxes t (Use ascending order. Round to three decimal places as needed.) OA. The researcher is % confident that the population mean BAC is between OB. The researcher is % confident that the population mean BAC is not between OC. There is a % probability that the population mean BAC is between and and for drivers involved in fatal accidents who have a positive BAC value. for drivers involved in fatal accidents who have a positive BAC value. and for drivers involved in fatal accidents who have a positive BAC value. R

A researcher wishes to estimate the average blood alcohol concentration (BAC) for drivers involved in fatal accidents who are found to have positive BAC values. He randomly selects records from 51 such drivers in 2009 and determines the sample mean BAC to be 0.17 g/dL with a standard deviation of 0.060 g/dL. Complete parts (a) through (c) below. D (b) Recently there were approximately 25,000 fatal crashes in which the driver had a positive BAC. Explain why this, along with the fact that the data were obtained using a simple random sample, satisfies the requirements for constructing a confidence interval. OA. The sample size is likely less than 10% of the population. OB. The sample size is likely less than 5% of the population. OC. The sample size is likely greater than 5% of the population. OD. The sample size is likely greater than 10% of the population. complete your choice. (c) Determine and interpret a 90% confidence interval for the mean BAC in fatal crashes in which the driver had a positive BAC. Select the correct choice below and fill in the answer boxes t (Use ascending order. Round to three decimal places as needed.) OA. The researcher is % confident that the population mean BAC is between OB. The researcher is % confident that the population mean BAC is not between OC. There is a % probability that the population mean BAC is between and and for drivers involved in fatal accidents who have a positive BAC value. for drivers involved in fatal accidents who have a positive BAC value. and for drivers involved in fatal accidents who have a positive BAC value. R

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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A researcher wishes to estimate the average blood alcohol concentration (BAC) for drivers involved in fatal accidents who are found to have positive BAC values. He randomly selects records from 51 such drivers in 2009 and determines the sample mean BAC to be 0.17 g/dL with a standard deviation of 0.060 g/dL. Complete parts (a) through (c) below. (a) A nistogram or Diooa aiconol concentrations in tatal accidents snows that ĎALS are nigniy skewea ngnt. Explain wny a large sample size is needed to construct a connoence interval for the mean BAC positive BAC Tatal crasnes with a O A. Since the distribution of blood alcohol concentrations is highly skewed right, allarge sample size is needed to minimize the margin of error to ensure only the peak of the sampling distribution is captured in the confidence interval. OB. Since the distribution of blood alcohol concentrations is highly skewed right, a large sample size is necessary to ensure that the distribution of the sample mean is approximately normal. OC. Since the distribution of blood alcohol concentrations is highly skewed right, a large sample size is needed to maximize the margin of error to ensure that both tails are accounted for in the confidence interval. ensure that it contains at least 5% of the population. O D. Since the distribution of blood alcohol concentrations is highly skewed right, a large sample size is needed (b) Recently there were approximately 25,000 fatal crashes in which the driver had a positive BAC. Explain why this, along with the fact that the data were obtained using a simple random sample, satisfies the requirements for constructing a confidence interval. OA. The sample size is likely less than 10% of the population. OB. The sample size is likely less than 5% of the population. OC. The sample size is likely greater than 5% of the population.
Transcribed Image Text:A researcher wishes to estimate the average blood alcohol concentration (BAC) for drivers involved in fatal accidents who are found to have positive BAC values. He randomly selects records from 51 such drivers in 2009 and determines the sample mean BAC to be 0.17 g/dL with a standard deviation of 0.060 g/dL. Complete parts (a) through (c) below. (a) A nistogram or Diooa aiconol concentrations in tatal accidents snows that ĎALS are nigniy skewea ngnt. Explain wny a large sample size is needed to construct a connoence interval for the mean BAC positive BAC Tatal crasnes with a O A. Since the distribution of blood alcohol concentrations is highly skewed right, allarge sample size is needed to minimize the margin of error to ensure only the peak of the sampling distribution is captured in the confidence interval. OB. Since the distribution of blood alcohol concentrations is highly skewed right, a large sample size is necessary to ensure that the distribution of the sample mean is approximately normal. OC. Since the distribution of blood alcohol concentrations is highly skewed right, a large sample size is needed to maximize the margin of error to ensure that both tails are accounted for in the confidence interval. ensure that it contains at least 5% of the population. O D. Since the distribution of blood alcohol concentrations is highly skewed right, a large sample size is needed (b) Recently there were approximately 25,000 fatal crashes in which the driver had a positive BAC. Explain why this, along with the fact that the data were obtained using a simple random sample, satisfies the requirements for constructing a confidence interval. OA. The sample size is likely less than 10% of the population. OB. The sample size is likely less than 5% of the population. OC. The sample size is likely greater than 5% of the population.
A researcher wishes to estimate the average blood alcohol concentration (BAC) for drivers involved in fatal accidents who are found to have positive BAC values. He randomly selects records from 51 such drivers in 2009 and determines the sample mean BAC to be 0.17 g/dL with a standard deviation of 0.060 g/dL. Complete parts (a) through (c) below. IZDE (b) Recently there were approximately 25,000 fatal crashes in which the driver had a positive BAC. Explain why this, along with the fact that the data were obtained using a simple random sample, satisfies the requirements for constructing a confidence interval. OA. The sample size is likely less than 10% of the population. OB. The sample size is likely less than 5% of the population. OC. The sample size is likely greater than 5% of the population. OD. The sample size is likely greater than 10% of the population. (c) Determine and interpret a 90% confidence interval for the mean BAC in fatal crashes in which the driver had a positive BAC. Select the correct choice below and fill in the answer boxes to complete your choice. (Use ascending order. Round to three decimal places as needed.) and OA. The researcher is OB. The researcher is OC. There is a % % confident that the population mean BAC is between % confident that the population mean BAC is not between and probability that the population mean BAC is between for drivers involved in fatal accidents who have a positive BAC value. and for drivers involved in fatal accidents who have a positive BAC value. for drivers involved fatal accidents who have a positive BAC value.
Transcribed Image Text:A researcher wishes to estimate the average blood alcohol concentration (BAC) for drivers involved in fatal accidents who are found to have positive BAC values. He randomly selects records from 51 such drivers in 2009 and determines the sample mean BAC to be 0.17 g/dL with a standard deviation of 0.060 g/dL. Complete parts (a) through (c) below. IZDE (b) Recently there were approximately 25,000 fatal crashes in which the driver had a positive BAC. Explain why this, along with the fact that the data were obtained using a simple random sample, satisfies the requirements for constructing a confidence interval. OA. The sample size is likely less than 10% of the population. OB. The sample size is likely less than 5% of the population. OC. The sample size is likely greater than 5% of the population. OD. The sample size is likely greater than 10% of the population. (c) Determine and interpret a 90% confidence interval for the mean BAC in fatal crashes in which the driver had a positive BAC. Select the correct choice below and fill in the answer boxes to complete your choice. (Use ascending order. Round to three decimal places as needed.) and OA. The researcher is OB. The researcher is OC. There is a % % confident that the population mean BAC is between % confident that the population mean BAC is not between and probability that the population mean BAC is between for drivers involved in fatal accidents who have a positive BAC value. and for drivers involved in fatal accidents who have a positive BAC value. for drivers involved fatal accidents who have a positive BAC value.
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