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1. The Poisson distribution is sometimes called the "distribution of rare events" and hence is seldom encountered in experimentation.

2. The shape of a Poisson frequency distribution is symmetrical around its expected value.

3. In testing a hypothesis about the Poisson parameter, the alternative hypothesis may be one tailed or two tailed.

4. Confidence intervals for a Poisson parameter are symmetrical around the point estimate y.

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