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Taya2010 [7]
2 years ago
12

Suppose that the number of airplanes arriving at an airport per minute is a Poisson process. The mean number of airplanes arrivi

ng per minute is 3. The probability that exactly 6 planes arrive in the next minute is 0.05041.True / False.
Mathematics
2 answers:
Hunter-Best [27]2 years ago
8 0

Answer:

P(X=6)

And using the probability mass function we got:

P(X=6) =3^6 \frac{e^{-3}}{6!}=0.05041

So then we can conclude that the statement is True.

Step-by-step explanation:

Definitions and concepts

The Poisson process is useful when we want to analyze the probability of ocurrence of an event in a time specified. The probability distribution for a random variable X following the Poisson distribution is given by:

P(X=x) =\lambda^x \frac{e^{-\lambda}}{x!}

And the parameter \lambda= 3 represent the average ocurrence rate per unit of time.

Solution to the problem

For this case we want to find this probability:

P(X=6)

And using the probability mass function we got:

P(X=6) =3^6 \frac{e^{-3}}{6!}=0.05041

So then we can conclude that the statement is True.

Vikki [24]2 years ago
7 0

Answer:

The given statement is True.

Step-by-step explanation:

We are given that the number of airplanes arriving at an airport per minute is a Poisson process with the mean number of airplanes arriving per minute is 3.

Let X = Distribution of number of airplanes arriving at an airport per minute

So, X ~ Poisson(\lambda)

The mean of Poisson distribution is given by, E(X) = \lambda = 3

which means, X ~ Poisson(3)

The probability distribution function of a Poisson random variable is:

P(X=x)=\frac{e^{-\lambda}\lambda^{x}}{x!}; for  x=0,1,2,3...

Probability that exactly 6 planes arrive in the next minute = P(X = 6)

    P(X = 6) = \frac{e^{-3}*3^{6}}{6!} = \frac{e^{-3}*729}{720} = 0.05041

Therefore, the given statement is true.

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