In an effort to check the quality of their cell phones, a manufacturing manager decides to take a random sample of 10 cell phones from yesterday's production run, which produced cell phones with serial numbers ranging (according to when they were produced) from 43005000 to 43005999. the manager noticed that the number of faulty cell phones in the production run of cell phones is usually small and that the quality of oneday's run seems to have no bearing on the next day.
a. what model might you use to model the number of faulty cell phones produced in one day?
b. if the mean number of faulty cell phones is 1.6 per day, what is the probability that no faulty cell phones will be produced tomorrow?
c. if the mean number of faulty cell phones is 1.6 per day, what is the probability that at least one faulty cell phone was produced in today's run?