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 0.16 g/dL with a standard deviation of 0.080 g/dL. Complete parts (a) through (d) below. O D. Since the distribution of blood alcohol concentrations is highly skewed right, a large 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. (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. O A. The sample size is likely less than 10% of the population. O B. The sample size is likely greater than 5% of the population. & C. The sample size is likely less than 5% of the population. O D. 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.) O A. There is a % probability that the population mean BAC is between and for drivers involved in fatal accidents who have a positive BAC value. O B. The researcher is % confident that the population mean BAC is between and for drivers involved in fatal accidents who have a positive BAC value. O C. The researcher is % confident that the population mean BAC is not between and for drivers involved in fatal accidents who have a positive BAC value.

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