Answer: Mean = 4.8 and variance = 5.16
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* 0.4+5* 0.6\\\\=1.2+3\\=4.2](https://img.qammunity.org/2020/formulas/mathematics/high-school/ouhnppuwzm8xrffq7m0sdc58tludv3j6vk.png)
Variance of the number of storms that will occur.
![Var[x]=E[x^2]-(E[x])^2](https://img.qammunity.org/2020/formulas/mathematics/high-school/46ip146rgcik0qosghfb3zb50n0a1r7unk.png)
![E[x^2]=E[x^2|Y=1].P(Y=1)+E[x^2|Y=2].P(Y=2)\\\\=(3+9)* 0.4+(5+25)* 0.6\\\\=12* 0.4+30* 0.6\\\\=4.8+18\\\\=22.8](https://img.qammunity.org/2020/formulas/mathematics/high-school/xc7vbviepo8hhb7ifczhq6wzctslchawjw.png)
So, Variance would be

Hence, Mean = 4.8 and variance = 5.16