\"Grand Salami\" Goal Distribution
Let's take an simplified example first, with three hypothetical hockey games. Let's say the first game has an average expectation of 4 total goals, the second game has an average expectation of 5 total goals, and the third game has an average expectation of 6 total goals. Assuming that the Poisson distribution is an accurate model of each game's total goals (btw, is this a safe assumption to make?), how would I determine the probability that the combined total of the three games is greater than, say, 13?
Also, would I be able to use the same technique to go about solving more complex problems (like ten games instead of just three)?
Thanks,
calm
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