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The number of cars passing over a certain bridge between 11pm and midnight has a Poisson density with lambda = 4.

In what proportion of nights would you expect more than one car to pass over the bridge during this time?

I've already worked out, reading off values from the poisson table http://mat.iitm.ac.in/home/vetri/public_html/statistics/poisson.pdf

1 car would be 0.0916
2 car would be 0.2381
3 car would be 0.4335
4 car would be 0.6288

How would you work out the value for "at least 1"? I thought that it might just be the sum of all these values but then I realised all these values are cumulative, so would it be:
The value for 4 - The value for 1?
0.6288 - 0.0916?

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    Seems your answer should be 1-0.0916=0.9084 then.2011-09-14

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Your phrasing "1 car would be 0.0916, 2 car would be 0.2381" and so forth is misleading because it suggests you are listing probabilities of those exact numbers of cars crossing the bridge during a certain hour.

However, rather than being probabilities of a given number of cars crossing the bridge during the hour, the four numbers you list actually are the cumulative probabilities of given numbers of cars crossing it. (As shown in wikipedia the Poisson probability mass function is given by $f(k;\lambda) = \lambda^k e^{-\lambda}/k!$ and the numbers you tabulated are $f(0;4)+f(1;4), f(0;4)+f(1;4)+f(2;4),$ ...) So, for the given numbers, it's better to refer to "at least one car", "at least two cars", etc.

As Didier Piau suggests in comments, "more than one car" is cases other than 0 or 1 cars crossing the bridge during the hour.

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The probability that it's at least one is $1$ minus the probability that it's exactly $0$.