The data shown below represent the repair cost for a low-impact collision in a simple random sample of mini and micro-vehicles. Complete parts (a) through (d) below. $3111 $1046 $711 $645 $758 % $1797 $3360 $2057 $2678 $1385 Since the correlation between the expected zsoores and the observed data, 0.963 , exceeds the critical value 0.918 , it is reasonable to conclude that the data come from a population that is normally distributed. (Round to three decimal places as needed.) (b) Draw a boxplot to check for outliers. Choose the correct answer below. 7 A. {'B. c. . D. /' \\ ' '82 7, 7, /7\\' III /7\\ ll- /7\\\\ z . 2' 2' u '39 U1}; RE} ......... ......... ......... ,........ 0 2000 4000 0 2000 4000 0 2000 4000 0 2000 4000 Does the boxplot suggest that there are outliers? A. Yes. there is at least one point that is greater than the third quartile or less than the rst quartile. B. No, there are no points that are greater than the third quartile or less than the rst quartile. C. Yes, there is at least one point that is outside of the 1.5(IQR) boundaries. 9' D. No, there are no points that are outside of the 1.5(IQR) boundaries. (c) Construct and interpret a 95% confidence interval for population mean cost of repair. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to the nearest dollar. Use ascending order.) O A. We are 95% confident that the mean cost of repair is between $ and $ O B. There is a 95% probability that the mean cost of repair is between $ and $