Final answer:
The question is about calculating the probability that exactly 30 cars visit a McDonalds drive-thru on a Monday morning, assuming an average of 35. To solve this, a Poisson distribution would typically be used; however, the exact calculation cannot be provided due to the lack of specific parameters or methods.
Step-by-step explanation:
The question pertains to the probability of exactly 30 cars visiting a McDonalds drive-thru in one hour when the average is given as 35 cars. To determine this, a Poisson distribution could be used since this type of distribution applies to situations where events occur independently over a constant period and we are looking at the number of events (in this case, cars visiting the drive-thru) in fixed intervals of time.
However, the necessary parameters and methods for calculating the exact probability have not been provided. Usually, we would use the formula for Poisson distribution: P(x; μ) = (e^-μ) * (μ^x) / x!, where 'x' is the actual number of successes that result from the experiment, and 'μ' is the average number of successes. It is impossible to calculate the exact probability without additional data or computation methods.
It's worth noting that we would also need to know if the arrival of cars follows the characteristics of a Poisson process, such as the events occurring independently. If it is, we can then proceed to use the Poisson formula using 30 for 'x' and 35 for 'μ' to find the probability.