Here are the essential concepts you must grasp in order to answer the question correctly.
Poisson Distribution
The Poisson distribution is a probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time or space, given a known average rate of occurrence. It is particularly useful for modeling rare events, such as the number of hurricanes in a year, where the events are independent of each other.
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Expected Value
The expected value is a key concept in probability that represents the average outcome of a random variable over a large number of trials. In the context of the Poisson distribution, the expected number of occurrences can be calculated by multiplying the mean rate of occurrence by the number of intervals considered, providing a way to predict outcomes over time.
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Rate of Occurrence
The rate of occurrence in a Poisson distribution refers to the average number of events (in this case, hurricanes) expected to happen in a specified time frame. For the given problem, the mean number of hurricanes is 5.5 per year, which serves as the basis for calculating probabilities and expected occurrences over longer periods, such as 118 years.
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