Suppose that phone calls to the President’s office at Lehman College arrive independently and at random, with outside calls arriving at an average rate of 3 in any 10 minute period, and inside calls at an average rate of 4 in any 10 minute period. Compute the probability that 2 or more calls arrive in any 2 minute period.

Respuesta :

Answer:

40.82% probability that 2 or more calls arrive in any 2 minute period.

Step-by-step explanation:

We have the mean during a time interval, so we use the poisson distribution 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 time interval.

10 minutes.

3 outside calls, 4 inside. So mean of 3+4 = 7.

That is, 0.7 calls per minute.

Compute the probability that 2 or more calls arrive in any 2 minute period.

2 minutes, so [tex]\mu = 2*0.7 = 1.4[/tex]

Either less than two calls arrive, or two or more do. The sum of the probabilities of these events is decimal 1. So

[tex]P(X < 2) + P(X \geq 2) = 1[/tex]

We want [tex]P(X \geq 2)[/tex]. So

[tex]P(X \geq 2) = 1 - P(X < 2)[/tex]

In which

[tex]P(X < 2) = P(X = 0) + P(X = 1)[/tex]

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

[tex]P(X = 0) = \frac{e^{-1.4}*(1.4)^{0}}{(0)!} = 0.2466[/tex]

[tex]P(X = 1) = \frac{e^{-1.4}*(1.4)^{1}}{(1)!} = 0.3452[/tex]

[tex]P(X < 2) = P(X = 0) + P(X = 1) = 0.2466 + 0.3452 = 0.5918[/tex]

[tex]P(X \geq 2) = 1 - P(X < 2) = 1 - 0.5918 = 0.4082[/tex]

40.82% probability that 2 or more calls arrive in any 2 minute period.