Answer:
a) ![P(X>2)= 1-P(X \leq 2) = 1-[P(X=0)+P(X=1)+P(X=2)]](https://tex.z-dn.net/?f=%20P%28X%3E2%29%3D%201-P%28X%20%5Cleq%202%29%20%3D%201-%5BP%28X%3D0%29%2BP%28X%3D1%29%2BP%28X%3D2%29%5D)
And we can find the individual probabilities like this:



And replacing we got:
![P(X>2)= 1-P(X \leq 2) = 1-[0.4493+0.3595+0.1438]=0.0474](https://tex.z-dn.net/?f=%20P%28X%3E2%29%3D%201-P%28X%20%5Cleq%202%29%20%3D%201-%5B0.4493%2B0.3595%2B0.1438%5D%3D0.0474%20)
b) 
Step-by-step explanation:
Let X the random variable that represent the number of hurricanes hitting the coast of Florida annualle. We know that
The probability mass function for the random variable is given by:
And f(x)=0 for other case.
For this distribution the expected value is the same parameter
Part a
For this case we want this probability: 
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)]](https://tex.z-dn.net/?f=%20P%28X%3E2%29%3D%201-P%28X%20%5Cleq%202%29%20%3D%201-%5BP%28X%3D0%29%2BP%28X%3D1%29%2BP%28X%3D2%29%5D)
And we can find the individual probabilities like this:



And replacing we got:
![P(X>2)= 1-P(X \leq 2) = 1-[0.4493+0.3595+0.1438]=0.0474](https://tex.z-dn.net/?f=%20P%28X%3E2%29%3D%201-P%28X%20%5Cleq%202%29%20%3D%201-%5B0.4493%2B0.3595%2B0.1438%5D%3D0.0474%20)
Part b
Using the probability mass function we have:
