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Suppose that the average number of new clients that a sales representative signs in a month is 22 and that the distribution of this random variable is Poisson. What is the probability that any given sales representative will sign fewer than 15 new clients in a month

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Answer: 0.04769

Explanation:

Let the average number of new clients that a sales representative signs in a month be
\lambda.

Given:
\lambda=22

Poisson distribution formula:


P(X=x)=(e^(-\lambda)\lambda^x)/(x!)

The probability that any given sales representative will sign fewer than 15 new clients in a month = P(X<15)


=\sum^(14)_(x=0)(e^(-22)(22)^x)/(x!)\approx0.04769\ [\text{By Poisson distribution table}]

Hence, the probability that any given sales representative will sign fewer than 15 new clients in a month =0.04769

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