statistical analysis
posted by Anna .
New Process, Inc., a large mailorder supplier of women’s fashions, advertises sameday service on every order. Recently, the movement of orders has not gone as planned, and there were a large number of complaints. Bud Owens, director of customer service, has completely redone the method of order handling. The goal is to have fewer than five unfilled orders on hand at the end of 95% of the working days. Frequent checks of the unfilled orders follow a Poisson distribution with a mean of two orders. Has New Process, Inc. lived up to its internal goal? Cite evidence.

Here's one way to do this problem.
Poisson distribution (m = mean):
P(x) = e^(m) m^x / x!
Note: mean = 2
Find P(0) through P(4). Add together for the probability.
Here's P(0):
P(0) = (e^ 2) (2^0) / (0!)
= (0.1353) (1) / (1)
= 0.1353
I hope this will help get you started.
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