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Fantom [35]
1 year ago
7

The number of hurricanes hitting the coast of Florida annually has a Poisson distribution with a mean of 0.8. Answer the followi

ng two questions: a) What is the probability that more than two hurricanes will hit the Florida coast in a year? b) What is the probability that exactly one hurricane will hit the coast of Florida in a year?
Mathematics
1 answer:
slava [35]1 year ago
3 0

Answer:

a) P(X>2)= 1-P(X \leq 2) = 1-[P(X=0)+P(X=1)+P(X=2)]

And we can find the individual probabilities like this:

P(X=0) = \frac{e^{-0.8} 0.8^0}{0!}= 0.4493

P(X=1) = \frac{e^{-0.8} 0.8^1}{1!}= 0.3595

P(X=2) = \frac{e^{-0.8} 0.8^2}{2!}= 0.1438

And replacing we got:

P(X>2)= 1-P(X \leq 2) = 1-[0.4493+0.3595+0.1438]=0.0474

b) P(X=1) = \frac{e^{-0.8} 0.8^1}{1!}= 0.3595

Step-by-step explanation:

Let X the random variable that represent the number of hurricanes hitting the coast of Florida annualle. We know that X \sim Poisson(\lambda=0.8)

The probability mass function for the random variable is given by:

f(x)=\frac{e^{-\lambda} \lambda^x}{x!} , x=0,1,2,3,4,...

And f(x)=0 for other case.

For this distribution the expected value is the same parameter \lambda=0.8

E(X)=\mu =\lambda=0.8

Part a

For this case we want this probability: P(X>2)

And for this case we can use the complement rule like this:

P(X>2)= 1-P(X \leq 2) = 1-[P(X=0)+P(X=1)+P(X=2)]

And we can find the individual probabilities like this:

P(X=0) = \frac{e^{-0.8} 0.8^0}{0!}= 0.4493

P(X=1) = \frac{e^{-0.8} 0.8^1}{1!}= 0.3595

P(X=2) = \frac{e^{-0.8} 0.8^2}{2!}= 0.1438

And replacing we got:

P(X>2)= 1-P(X \leq 2) = 1-[0.4493+0.3595+0.1438]=0.0474

Part b

Using the probability mass function we have:

P(X=1) = \frac{e^{-0.8} 0.8^1}{1!}= 0.3595

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