Answer:
The expected number of free throws he will make is 8.1.
Explanation:
For each free throw, there are only two possible outcomes. Either he makes it, or he misses each. Each free throw is independent of other free throws. So we use the binomial probability distribution to solve this question.
Binomial probability distribution
Probability of exactly x sucesses on n repeated trials, with p probability.
The expected value of the binomial distribution is:
![E(X) = np](https://img.qammunity.org/2021/formulas/mathematics/college/66n16kmn896qth698tyf6rfu48vhaipkmv.png)
A professional basketball player has an 81% success rate when shooting free throws.
This means that
![p = 0.81](https://img.qammunity.org/2021/formulas/mathematics/college/b3jz2tz16a7j4ow2njif59xwa5mlbb4rfx.png)
Sample of 10 free throws
This means that
![n = 10](https://img.qammunity.org/2021/formulas/mathematics/college/xejj4jniyiwc8a9rmenb3rznbf23wm5em1.png)
What is the expected number of free throws he will make
![E(X) = np = 10*0.81 = 8.1](https://img.qammunity.org/2021/formulas/mathematics/college/miwkk9hlreypidceffyjuw9ht8geps69fq.png)
The expected number of free throws he will make is 8.1.