In what scenario would a Poisson Distribution be a better fit than a Normal Distribution?
- When modeling the number of times an event occurs in a fixed interval
- When the data are continuous
- When the data are negatively skewed
- When the data are positively skewed
A Poisson Distribution would be a better fit when modeling the number of times an event occurs in a fixed interval of time or space. The Poisson Distribution is discrete while the Normal Distribution is continuous.
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