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1. There is a separate Poisson distribution for every value of l and n.

2. The Poisson distribution can always be used to approximate the probabilities of a binomial distribution.

4. Because l is usually small, small values of y are much more probable than large values when sampling from a Poisson distribution.

5. The power of a test of hypothesis for the Poisson parameter is increased as the number of units sampled is increased.

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