A telephone soliciting company obtains an average of five orders per 1000 solicitations. If the company reaches 250 potential customers, find the probability of obtaining at least two orders.
How do you solve it using Poisson Distribution?
@danielle02 i don't know what is Poisson Distribution and how to solve this. Only way i can hep you that i can send you best link in which this question explains very nicely.
*help
can i send you link???
@mayankdevnani sure
this is link: http://answers.yahoo.com/question/index?qid=20080326213331AA8Qm3v
i hope this link will help you.
i'm trying to figure out what the lambda is and it doesn't state here how to get the lambda. but thanks anyway.
sorry.... i can't help you out.... and for thanks... welcome:) lol
The average number of orders per 250 customers is given by \[5\times \frac{250}{1000}=1.25\] If X is a random variable with Poisson distribution, then \[P(X=x)=\frac{e ^{- \lambda}\lambda ^{x}}{x!}\] In this case lambda is 1.25, therefore \[P(X=2)=\frac{e ^{-1.25}1.25^{2}}{2!}=you\ can\ calculate\]
I found at the back of a book that the answer is 0.3554
Ok. So I finally figured out how to find the answer.
After finding P(X=2) it is necesary to find P(X=3), P(X=4) ......... and add the probabilities to find the probability of at least 2 orders.
As suggested by @Callisto the quickest way to find the solution is to calculate P(X=0) + P(X=1), and then subtract the result from 1. P(X=at least 2 orders) = 1 - {P(X=0) + P(X=1)}
@kropot72 I know this question is like a year old, but... I was wondering if you happen to see this message, could you explain how you figured out that n = 5 and p = 250/1000? I understand why x = 2, and I know how to solve for lambda, but I just don't understand how you were able to get n and p from reading the problem... I get confused with that ; - ;
It is necessary to find the average number of orders when 250 potential customers are reached. It is given that an average of 5 orders are obtained when 1000 customers are reached. Therefore when 1 customer is reached an average of 5/1000 orders are obtained, and when 250 customers are reached an average of \[\large \frac{5}{1000} \times250=1.25\ orders\ are\ obtained\] Therefore the value of lambda for the question is 1.25. Note that this question relates to a Poisson distribution. It appears from your posting that you are looking for values of n and p which would apply to a binomial distribution.
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