Answer:
X | 100000 -250
P(X) | 0.0015 0.9985
[tex] E(X)= \sum_{i=1}^n X_i P(X_i) [/tex]
And replacing we got:
[tex] E(X) =100000*0.0015 -250*0.9985= -99.625[/tex]
Explanation:
For this case we define the random variable X as the profit of Mike's wife for one year on specific.
We know that the company charges $250 for one year $100000 life insurance policy
And we know that the probability that Mike would live for a year is 0.9985. So then the probability that Mike no live for a given year is 1-0.9985=0.0015
And then we can define the probability distribution like this:
X | 100000 -250
P(X) | 0.0015 0.9985
And we can calculate the expected value for a given year like this:
[tex] E(X)= \sum_{i=1}^n X_i P(X_i) [/tex]
And replacing we got:
[tex] E(X) =100000*0.0015 -250*0.9985= -99.625[/tex]