A company periodically samples products coming off a production line, in order to make sure the production process is running smoothly. They choose a sample of size 5 and observe the number of...

A company periodically samples products coming off a production line, in order to make sure the production process is running smoothly. They choose a sample of size 5 and observe the number of defectives. Past records show that the proportion of defectives,
, varies according to a .atJe(1, 9) distribution. The loss in letting the production process run is 100, while the loss in stopping the production line, recalibrating, and starting up again is 1. What is the Bayes decision if one defective is observed in a sample?