Answer:
3.78% probability that exactly five cars will arrive over a five-minute interval during rush hour
Explanation:
In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

In which
x is the number of sucesses
e = 2.71828 is the Euler number
is the mean in the given time interval.
20 cars per 10 minutes
So for 5 minutes,

What is the probability that exactly five cars will arrive over a five-minute interval during rush hour?
This is P(X = 5).


3.78% probability that exactly five cars will arrive over a five-minute interval during rush hour