Each morning, the refrigerator in a small machine shop is stocked with two cases (24 cans per case) of soft drinks for use by the shop’s 12 employees. The employees can quench their thirst at any time during the 8-hour work day (8:00 a.m. to 4:00 p.m.), and each employee is known to consume approximately 4 cans a day, but the process is totally random (Poisson distribution). Calculate probability that an employee will not find a drink at noon (the start of the lunch period)? Just before the shop closes?
