1. A production manager is interested in determining the proportion of defective items in a typical shipment of one of the computer components that her company manufactures. The proportion of...

1. A production manager is interested in determining the proportion of defective items in a typical shipment of one of the computer components that her company manufactures. The proportion of defective components is recorded for each of 250 randomly selected shipments collected during a one-month period. The data are in the file P05_47.xlsx. Use @RISK to determine which probability distribution best fits these data. 2. The manager of a local fast-food restaurant is interested in improving the service provided to customers who use the restaurant’s drive-up window. As a first step in this process, the manager asks his assistant to record the time (in minutes) it takes to serve 200 different customers at the final window in the facility’s drive-up system. The given 200 customer service times are all observed during the busiest hour of the day for this fast-food operation. The data are in the file P05_48.xlsx. Use @RISK to determine which probability distribution best fits these data.