Answer:
The probability is 0.2617
Step-by-step explanation:
The variable that said the number of drivers that are uninsured follow a binomial distribution, so the probability that x drivers are uninsured is calculated as:
![P(x)=\frac{n!}{x!(n-x)!}*p^{x}*(1-p)^{n-x}](https://tex.z-dn.net/?f=P%28x%29%3D%5Cfrac%7Bn%21%7D%7Bx%21%28n-x%29%21%7D%2Ap%5E%7Bx%7D%2A%281-p%29%5E%7Bn-x%7D)
Where n is the number of drivers involved in an accident and p is the probability that any driver is uninsured, then:
![P(x)=\frac{4!}{x!(4-x)!}*0.25^{x}*(1-0.25)^{4-x}](https://tex.z-dn.net/?f=P%28x%29%3D%5Cfrac%7B4%21%7D%7Bx%21%284-x%29%21%7D%2A0.25%5E%7Bx%7D%2A%281-0.25%29%5E%7B4-x%7D)
So, the probability that more than one of them are uninsured is:
P(x>1) = P(2) + P(3) + P(4)
Therefore, the values of P(2), P(3) and P(4) are:
![P(2)=\frac{4!}{2!(4-2)!}*0.25^{2}*(1-0.25)^{4-2}=0.2109](https://tex.z-dn.net/?f=P%282%29%3D%5Cfrac%7B4%21%7D%7B2%21%284-2%29%21%7D%2A0.25%5E%7B2%7D%2A%281-0.25%29%5E%7B4-2%7D%3D0.2109)
![P(3)=\frac{4!}{3!(4-3)!}*0.25^{3}*(1-0.25)^{4-3}=0.0469](https://tex.z-dn.net/?f=P%283%29%3D%5Cfrac%7B4%21%7D%7B3%21%284-3%29%21%7D%2A0.25%5E%7B3%7D%2A%281-0.25%29%5E%7B4-3%7D%3D0.0469)
![P(x)=\frac{4!}{4!(4-4)!}*0.25^{4}*(1-0.25)^{4-4}=0.0039](https://tex.z-dn.net/?f=P%28x%29%3D%5Cfrac%7B4%21%7D%7B4%21%284-4%29%21%7D%2A0.25%5E%7B4%7D%2A%281-0.25%29%5E%7B4-4%7D%3D0.0039)
Finally, the probability that more than one of them are uninsured is:
P(x>1) = 0.2109 + 0.0469 + 0.0039 = 0.2617