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An operations manager was interested in determining if there is a relationship between the amount of training received by production line workers and the time

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An operations manager was interested in determining if there is a relationship between the amount of training received by production line workers and the time it takes for them to troubleshoot a process problem. A sample of recently trained line workers was selected. The number of hours of training time received and the time it took (in minutes) for them to troubleshoot their last process problem were captured. The regression model is (Y = 30.72 D 1.84X). Based on the regression equation. the troubleshooting time for a line worker who receives 8 hours of training would be 0 2677 minutes 0 16 minutes 0 20 minutes 0 1036 minutes QUESTION 26 All else being equal, increasing the desired level ofconfidence will 0 Tighten the condence interval 0 Decrease the margin of error 0 Increase precision 0 Increase the margin of error QUESTION 27 The owner of a small convenience store is trying to decide whether to discontinue selling magazines He suspects that only 5% of the customers buy magazines and thinks that he might be able to sell something more protable Before making a final decision, he keeps track of the number of customers who buy magazines each day. On a typical day he has 280 customers in his store. On a typical day, what would be the standard deviation of the number of customers who buy magazines? 0 3.65 O 14 O 13.32 025 QUESTION 28 A recent study of two brands of golf balls was undertaken to determine whether there is a difference in the mean distance that the two golf ball brands will y off the tee. To conduct the test, a robot which swings the club at the same speed and with the same swing pattern each time was used. The following data reect sample data for a random sample of balls of each brand. We assume that the variances of the two groups are the same. Brand A: 234 236 230 227 234 233 228 229 230 238 Brand B: 240 236 241 236 239 243 230 239 243 240 The correct value of the test statistic (assuming Brand A is group 1 and Brand B is group 2) is O -4.04 O 4.04 0 1.7340 0 2.1009

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