Answer: Mean = 4.8 and variance = 5.16
Step-by-step explanation:
Since we have given
Let X be the number of storms occur in next year
Y= 1 if the next year is good.
Y=2 if the next year is bad.
Mean for good year = 3
probability for good year = 0.4
Mean for bad year = 5
probability for bad year = 0.6
So, Expected value would be
![E[x]=\sum xp(x)\\\\=3\times 0.4+5\times 0.6\\\\=1.2+3\\=4.2](https://tex.z-dn.net/?f=E%5Bx%5D%3D%5Csum%20xp%28x%29%5C%5C%5C%5C%3D3%5Ctimes%200.4%2B5%5Ctimes%200.6%5C%5C%5C%5C%3D1.2%2B3%5C%5C%3D4.2)
Variance of the number of storms that will occur.
![Var[x]=E[x^2]-(E[x])^2](https://tex.z-dn.net/?f=Var%5Bx%5D%3DE%5Bx%5E2%5D-%28E%5Bx%5D%29%5E2)
![E[x^2]=E[x^2|Y=1].P(Y=1)+E[x^2|Y=2].P(Y=2)\\\\=(3+9)\times 0.4+(5+25)\times 0.6\\\\=12\times 0.4+30\times 0.6\\\\=4.8+18\\\\=22.8](https://tex.z-dn.net/?f=E%5Bx%5E2%5D%3DE%5Bx%5E2%7CY%3D1%5D.P%28Y%3D1%29%2BE%5Bx%5E2%7CY%3D2%5D.P%28Y%3D2%29%5C%5C%5C%5C%3D%283%2B9%29%5Ctimes%200.4%2B%285%2B25%29%5Ctimes%200.6%5C%5C%5C%5C%3D12%5Ctimes%200.4%2B30%5Ctimes%200.6%5C%5C%5C%5C%3D4.8%2B18%5C%5C%5C%5C%3D22.8)
So, Variance would be

Hence, Mean = 4.8 and variance = 5.16