Biotech firm:

*x                              P*(*X* = *x*)               *x* · *P*(*X* = *x*)

$6,000,000

0

−$1,000,000

It seems like you're describing part of a probability distribution for a biotech firm's revenue (or cost), represented by a random variable $X$, with corresponding values for $P(X=x)$ and expected values of $x \cdot P(X=x)$.

However, the table appears incomplete. To better understand the scenario and provide a proper solution, let’s clarify what you need:

1. Are you calculating the expected value $E(X)$ (the mean of the random variable $X$) for the firm's potential revenue/cost?
2. What is the probability associated with the values of $X$ (for example, $6,000,000 and -$1,000,000)?
3. Could you provide the missing probabilities and any other potential values for $X$?

With that clarification, I can help you calculate key metrics like expected value, variance, or any other statistics you're looking for.

Would you like to proceed with filling in those gaps?

### 5 Relative Questions:
1. What does the $6,000,000 and -$1,000,000 represent in this scenario (revenue, costs, etc.)?
2. Do you have more potential outcomes for $X$, or is this the full list?
3. Are you interested in calculating only the expected value, or are you also looking for other statistics like variance?
4. What kind of probability distribution are you assuming for this firm’s earnings? 
5. Do you have specific data for the biotech firm's potential earnings and losses?

### Tip:
The expected value $E(X)$ gives you the long-term average of a random variable and is a critical measure in decision-making, especially for business and investment analysis.

Understand how to calculate the expected value of a biotech firm's potential revenue and loss using random variables and probability distributions. Learn to apply the expected value formula to assess financial outcomes in a business scenario.

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