Answer:
1. 0.737
Explanation:
For each free throw, there are only two possible outcomes. Either the player makes it, or he does not. The probability of the player making a free throw is independent of other free throws. So we use the binomial probability distribution to solve this question.
Binomial probability distribution
The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.
![P(X = x) = C_(n,x).p^(x).(1-p)^(n-x)](https://img.qammunity.org/2021/formulas/mathematics/college/mj488d1yx012m85w10rpw59rwq0s5qv1dq.png)
In which
is the number of different combinations of x objects from a set of n elements, given by the following formula.
![C_(n,x) = (n!)/(x!(n-x)!)](https://img.qammunity.org/2021/formulas/mathematics/college/qaowm9lzn4vyb0kbgc2ooqh7fbldb6dkwq.png)
And p is the probability of X happening.
A basketball player is historically an 82% free throw shooter.
This means that
![p = 0.82](https://img.qammunity.org/2021/formulas/mathematics/college/1f19qoylzvqfw1s3y53st6jxjtjdj7kn8r.png)
She attempts 10 free throws
This means that
![n = 10](https://img.qammunity.org/2021/formulas/mathematics/college/xejj4jniyiwc8a9rmenb3rznbf23wm5em1.png)
What is the probability she makes at least 8 of them?
![P(X \geq 8) = P(X = 8) + P(X = 9) + P(X = 10)](https://img.qammunity.org/2021/formulas/mathematics/college/u7jcxwysphfwbvne9dtobhm0rcdm0b209a.png)
![P(X = x) = C_(n,x).p^(x).(1-p)^(n-x)](https://img.qammunity.org/2021/formulas/mathematics/college/mj488d1yx012m85w10rpw59rwq0s5qv1dq.png)
![P(X = 8) = C_(10,8).(0.82)^(8).(0.18)^(2) = 0.298](https://img.qammunity.org/2021/formulas/mathematics/college/9eeutvr566vu57uj0ykqs8kytrreltmj3o.png)
![P(X = 9) = C_(10,9).(0.82)^(9).(0.18)^(1) = 0.302](https://img.qammunity.org/2021/formulas/mathematics/college/29nembyczaxw8wnqmv18riexlipmq63oq4.png)
![P(X = 10) = C_(10,10).(0.82)^(10).(0.18)^(0) = 0.137](https://img.qammunity.org/2021/formulas/mathematics/college/15nc9v1ftf91ulkzvourb9q8tdjaha3u8j.png)
![P(X \geq 8) = P(X = 8) + P(X = 9) + P(X = 10) = 0.298 + 0.302 + 0.137 = 0.737](https://img.qammunity.org/2021/formulas/mathematics/college/nhowhri06fuhmzhn4vvry96ta7m20fgktd.png)