Calculating Poisson Distribution for Car Backfire Frequency on City Streets

AI Thread Summary
The discussion focuses on calculating the probability of hearing at most one car backfire in an hour using the Poisson distribution, with a mean of 8 backfires per hour. The user correctly identifies that the mean and variance are equal in the Poisson distribution, setting the parameter to 8. The calculation involves finding the probabilities of hearing 0 and 1 backfire, resulting in the expression 9e^(-8). The solution is confirmed as correct by other participants in the discussion. This demonstrates an accurate application of the Poisson distribution for the given scenario.
buddingscientist
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Hello In my text the following question is posed:

ON a city street, car backfires are heard 8 times per hour. Use the poisson distribution to find an exact expression for the prob. that a car backfire is heard at most once in a given hour. Do not simplify or evaluate your answer.


Now from my understanding, in the poisson distribution, mean = variance = 'parameter'

In the question we can assume that the mean equals 8, thus letting the parameter = 8.

A car backfire is heard at most once in a given hour.
= Probability of hearing 0 backfires + probability of hearing 1 backfire

= 8^0 e^(-8) / 0! + 8^1 e^(-8) / 1!
= e^(-8) + 8e^(-8)
= 9e^(-8)

Is this the correct solution? Thanks for your time
 
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