(c)For the mileage values in this sample, 36.4 thousand miles is more extreme than 25.3 thousand miles is, that is, 36.4 is farther from the sample mean mileage than 25.3 is. How would the 90% confidence interval for the mean used selling price when the mileage is 36.4 thousand miles compare to the 90% confidence interval for the mean used selling price when the mileage is 25.3 thousand miles? The intervals would be identical. The interval computed from a mileage of 36.4 thousand miles would be narrower and have a different center. The interval computed from a mileage of 36.4 thousand miles would be wider but have the same center. The interval computed from a mileage of 36.4 thousand miles would be narrower but have the same center. The interval computed from a mileage of 36.4 thousand miles would be wider and have a different center.

One gallon of gas is put into each of 30 test cars. The resulting gas-mileage values of the sample are computed with mean of 28.5 gallons per mile, and standard deviation of 1.2 miles per gallon. What is the 95% confidence interval estimate of the mean mileage?(27.3, 29.7)(28.46, 28.54)(28.1, 28.9)(28.42, 28.58)(27.36, 29.64)

A recent study of 5 employees of XYZ company showed that the mean of the distance they traveled to work was 13.2 miles. The standard deviation of the sample mean was 2 miles.distance12.513.211.814.413.9Find the best point estimate of the true mean. Find the 90% upper confidence interval of the true mean.

2.  The average weight of 100 sold chicken is 3 kilos. The standard deviation of the weights of all the chicken in the store is 1.1 kilos and an 85% level of confidence is to be used. What is the length of the confidence interval?*A. 0.3168B. 0.4268C. 0.51268D. 0.65168

A student was asked to find a 95% confidence interval for widget width using data from a random sample of size n = 27. Which of the following is a correct interpretation of the interval 13.1 < μ < 25.9?Check all that are correct.There is a 95% chance that the mean of the population is between 13.1 and 25.9.With 95% confidence, the mean width of all widgets is between 13.1 and 25.9.With 95% confidence, the mean width of a randomly selected widget will be between 13.1 and 25.9.There is a 95% chance that the mean of a sample of 27 widgets will be between 13.1 and 25.9.The mean width of all widgets is between 13.1 and 25.9, 95% of the time. We know this is true because the mean of our sample is between 13.1 and 25.9.

A random sample of 160 households is selected to estimate the mean amount spent on electric service. A 95% confidence interval was determined from the sample results to be ($151, $216). Which of the following is the correct interpretation of this interval? There is a 95% chance that the mean amount spent on electric service is between $151 and $216. We are 95% confident that the mean amount spent on electric service among the 160 households is between $151 and $216. 95% of the households will have an electric bill between $151 and $216. We are 95% confident that the mean amount spent on electric service among all households is between $151 and $216