A county office gets an average of 10 calls in a 2 hour time period. What is the probability that the county office will get more than 0 calls in a 15 minute period? Round your answer to three decimal places.

Answer :

Answer:

0.713 = 71.3% probability that the county office will get more than 0 calls in a 15 minute period.

Step-by-step explanation:

We have the mean during a time-period, which means that the Poisson distribution is used to solve this question.

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

[tex]P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}[/tex]

In which

x is the number of sucesses

e = 2.71828 is the Euler number

[tex]\mu[/tex] is the mean in the given interval.

A county office gets an average of 10 calls in a 2 hour time period.

10 calls each 120 minutes, which means that the mean for n minutes is:

[tex]\mu = \frac{10n}{120} = \frac{n}{12}[/tex]

15 minute period:

This means that [tex]n = 15, \mu = \frac{15}{12} = 1.25[/tex]

What is the probability that the county office will get more than 0 calls in a 15 minute period?

This is:

[tex]P(X > 0) = 1 - P(X = 0)[/tex]

In which

[tex]P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}[/tex]

[tex]P(X = 0) = \frac{e^{-1.25}*1.25^{0}}{(0)!} = 0.287[/tex]

So

[tex]P(X > 0) = 1 - P(X = 0) = 1 - 0.287 = 0.713[/tex]

0.713 = 71.3% probability that the county office will get more than 0 calls in a 15 minute period.

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