Use the accompanying set of dependent and independent variables to complete parts a through d below. Click the icon to view the data set. a) Construct a 95% confidence interval for the dependent variable when x, 9 and x2 -11. The 95% confidence interval is from a lower limit of to an upper limit of (Round to two decimal places as needed.) Set of dependent and independent variables - X y 10 11 15 15 20 24 27 32 2 5 5 11 16 21 16 10 13 8 7 4 Print X₁ %2 9 7 10 2 Done X

Mark each statement TRUE or FALSE. For these problems, assume that to estimate average time spent waiting at a restaurant, you sample 10 people and you get a 95% confidence interval of (5, 7) in minutes.   If you increase sample size, the width of your confidence interval increases.  If you increase confidence level, the width of your confidence interval increases.

A certain coffee packing company has three packing lines with the following production volumes of boxes per hour. You are an analyst and the manager entrusts you to carry out an analysis to establish whether or not there is a difference in the production of each line at 95% confidence.

You are interested in finding a 98% confidence interval for the average commute that non-residential students have to their college. The data below show the number of commute miles for 10 randomly selected non-residential college students. Round answers to 3 decimal places where possible.   22 19 10 26 24 27 18 21 21 24   b. With 98% confidence the population mean commute for non-residential college students is between  and   miles. c. If many groups of 10 randomly selected non-residential college students are surveyed, then a different confidence interval would be produced from each group. About  percent of these confidence intervals will contain the true population mean number of commute miles and about  percent will not contain the true population mean number of  commute miles.

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Person 1 Person 2 Person 3 Person 4 Person 5 Person 6 Person 7 Person 8 Person 9 Height (inches) 75 62 64 63 62 70 69 70 67 Weight (lbs) 325 250 280 220 235 265 200 365 175 (CLO 1) Construct a confidence interval to estimate the mean height and the mean weight.

Tina catches a 14-pound bass.  She does not know the population mean or standard deviation.  So she takes a sample of five friends and they say the last bass they caught was 9, 12, 13, 10, and 10 pounds.  Find the t and calculate a 95% (α = .05) confidence interval.

The Athletics Department at a high school is interested in the difference in the run times between 11th and 12th grade students. Suppose the 11th grade students make up the first sample while the 12th grade students make up the second.Using a confidence level of 95%, the confidence interval found was (−1.8,2.9)(-1.8,2.9).Which of the following is the correct interpretation? We are 95% confident that the run times of the 11th grade students are, on average, faster than those of the 12th grade students. We are 95% confident that the run times of the 11th grade students are, on average, slower than those of the 12th grade students. We are 95% confident that the run times of the 11th grade students are, on average, about the same as those of the 12th grade students.

Matilda has constructed three confidence intervals, all from the same random sample. The confidence levels are 95%, 98%, 99.9%. The confidence intervals are 6.4<u<12.3, 5.1<u<13.6, and 6.8<u<11.8. Unfortunately, Matilda has forgotten which confidence interval goes with level. Match each confidence interval with its level. what confidence goes with each the confidence level and indicate whether these confidence intervals are for a population mean or for a population proportion, also include support with the results.

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