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. And is defined as:

$E(X) = \sum_{i=1}^n X_i P(X_i)$

For $i = 1,2,....,n$

Solution to the problem

Let's define the random variable X as the expected return for a new drug.

For this case we expected a return of X=750 millions with a probability of 0.14. We assume that p is the probability of success for this case p =0.14.

And the probability of no success on this case would be q = 1-p = 1-0.14 =0.86. And the cost associated for this case would be X= -100 million

If we use the definition of expected value we have this:

$E(X) = 750*0.14 -100*0.86 = 19$

So then the expected value in the long run for this case would be 19 millions

8 0

4 years ago

What is the solution to the inequality below? <br>i think its B but im not shour

Yuliya22 [10]

B is the solution to sqrtx <=8

5 0

4 years ago