Statical Data in a Business Essay Example | Topics and Well Written Essays - 500 words

Statical Data in a Business - Essay ExampleA central depot is set up, where all the detergent that is manufactured by the two plants is sent and coalesce together. Following a careful investigation, the production manager established that 10% of the detergent manufactured in Florida and 5% of the detergent manufactured in Texas is faulty and hence cannot be used. It is also cognize that when the attach to sells faulty products, its goodwill is tainted and the cost of replacing the faulty product is high. The production manager finds it wise to allocate these costs reasonably between the two production facilities. This apportioning requires knowledge of the probability that a particular production line will produce faulty detergent. In particular, the production manager should try out answers to the following questionsTo find the solution to this problem, a probability function is constructed, whereby, F stands for the event that a unit of detergent is faulty. In other words, t he production manager is aware of the following?It is by now known that 40% of the detergent is produced by Florida plant and 60% from Texas. As such, P (Florida) = 0.40 and P (Texas) = 0.6. Using bay Theorem, the following probability from each production line is presentedThese probabilities imply that 57.14% of the faulty cost should be appoint to the Florida plant and 42.86% assigned to the Texas plant. It is notable that P (F) represents the probability of the faulty detergent. This probability can be stand for as followsThe production manager has applied Bayes theorem to craft a fair method of allocation cost that is associated with production of defective products between the two production facilities (Peebles, 1993). Although the production manager was not original of the exact cost that comes from each plant, the probabilities have been formed devoid of bias. Therefore, the company will be more(prenominal) decisive when allocating these costs between