Answer:
The answer is 0.2865
Explanation:
In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:
![P(X = x) = (e^(-\mu)*\mu^(x))/((x)!)](https://img.qammunity.org/2021/formulas/mathematics/college/frjienvs346ki5axyreyxszxd4zhu8xxhm.png)
In which
x is the number of sucesses
e = 2.71828 is the Euler number
is the mean in the given time interval.
In this problem, we have that:
The mean number of accidents on any given day in Coralville is 5. Of those, 25% are with an uninsured drive.
So
![\mu = 5*0.25 = 1.25](https://img.qammunity.org/2021/formulas/mathematics/college/fs5wb8yzufyru86zm5vasadg1af8yglvpy.png)
Calculate the probability that on a given day in Coralville there are no trafficaccidents that involve an uninsured driver.
This is P(X = 0). So
![P(X = x) = (e^(-\mu)*\mu^(x))/((x)!)](https://img.qammunity.org/2021/formulas/mathematics/college/frjienvs346ki5axyreyxszxd4zhu8xxhm.png)
![P(X = 0) = (e^(-1.25)*(1.25)^(0))/((0)!) = 02865](https://img.qammunity.org/2021/formulas/mathematics/college/az5qahemr54rj8av2crm8nx0wy6m5vdedy.png)