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e data shown below represent the repair cost for a low impact collision in a simple random sample of mini ad micro vehicles such as the Chevrolet Aveo or Mini Cooper Complete parts a through c 3108 1008 742 646 765 1706 3310 2024 2628 1358 lick here to view page 1 of the standard normal distribution table lick here to view page 2 of the standard normal distribution table Click here to view the table of critical t values a Draw a boxplot to check for outliers Choose the correct answer below F 2000 4000 OB 0 2000 4000 Q O C T 2000 4000 A Yes the distribution is roughly symmetric and there are no outliers OB Yes the distribution is highly skewed with outliers OC No the boxplot shows there are outliers OD No the distribution is roughly symmetric with no outliers G b Construct and interpret a 95 confidence interval for the population mean cost of repair Does the boxplot suggest that it is reasonable to construct a confidence interval for the population mean OB There is a 95 probability that the mean cost of repair is OC The confidence interval should not be constructed OD O 2000 4000 and If the boxplot suggests a confidence interval can be constructed calculate and interpret the lower bound and the upper bound of the confidence interval Select the correct choice below and if necessary fill in the answer boxes to complete your choice Round to the nearest dollar Use ascending order A We are 95 confident that the mean cost of repair is between 1013 and 2446 etween Q c Suppose you obtain a simple random sample of size n 10 of a Mini Cooper that was in a low impact collision and determine the cost of repair Do you think a 95 confidence interval would be wider or narrower Explain O A Narrower because taking a second random sample will always lead to a narrower confidence interval OB Wider because there is more variability in the data because variability in the repair cost of the car has been added OC Wider because taking a second random sample will always lead to a wider confidence interval D Narrower because there is less variability in the data because any variability caused by the different types of vehicles has been removed

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