Answer:
X -20000 35000 45000 0
P(X) 0.3 0.2 0.35 0.15
And we can find the expected value with the following formula:
[tex] E(X) = \sum_{i=1}^n X_i P(X_i)[/tex]
And after apply this formula we got:
[tex] E(X) = -20000*0.3 + 35000*0.2 + 45000*0.35 +0*0.15 =16750[/tex]
And for this case since the expected value for the profit >0 then we can conclude that the investor could do the investment
Step-by-step explanation:
Previous concepts
The expected value of a random variable X is the n-th moment about zero of a probability density function f(x) if X is continuous, or the weighted average for a discrete probability distribution, if X is discrete.
The variance of a random variable X represent the spread of the possible values of the variable. The variance of X is written as Var(X).
Solution to the problem
For this case we define the random variable X as = the amount of money that we expect to win or loss and we have the following distribution given:
X -20000 35000 45000 0
P(X) 0.3 0.2 0.35 0.15
And we can find the expected value with the following formula:
[tex] E(X) = \sum_{i=1}^n X_i P(X_i)[/tex]
And after apply this formula we got:
[tex] E(X) = -20000*0.3 + 35000*0.2 + 45000*0.35 +0*0.15 =16750[/tex]
And for this case since the expected value for the profit >0 then we can conclude that the investor could do the investment