Answer:
![P(X = 1) = 0.1470](https://img.qammunity.org/2020/formulas/mathematics/college/69bqkh70wobvl4nh6ofsd8b4ng0zz0zwx9.png)
Explanation:
There can only be two outcomes. Either a woman has breast or ovarian cancer, or she hasn't. So we can solve this problem by the binomial probability formula.
Binomial probability
Th 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/2020/formulas/advanced-placement-ap/college/oz6k3qeajb4c3qjp80xitcj7legypi5zke.png)
In which
is the number of different combinatios 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/2020/formulas/advanced-placement-ap/college/y23gmw1evueucieh4ena6fwk0f0nzcz4n8.png)
And p is the probability of X happening.
In this problem
We want to find P(X = 1), so
.
There are 5 woman, so
![n = 5](https://img.qammunity.org/2020/formulas/mathematics/high-school/vqvkw1d4jfcofrg2xel6xlp6tayshvigt5.png)
There is a 51% probability that a woman with this gene has cancer, so
![p = 0.51](https://img.qammunity.org/2020/formulas/mathematics/college/w6yh19b1xfw8uxxsot9h2rwrlrqxrzsx3h.png)
![P(X = x) = C_(n,x).p^(x).(1-p)^(n-x)](https://img.qammunity.org/2020/formulas/advanced-placement-ap/college/oz6k3qeajb4c3qjp80xitcj7legypi5zke.png)
![P(X = 1) = C_(5,1).(0.51)^(1).(0.49)^(4) = 0.1470](https://img.qammunity.org/2020/formulas/mathematics/college/smnqudoh0hayyvoth85qpwb9jk07f7qzni.png)