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Answer :
Final answer:
The parameter λ in the Poisson distribution represents the average rate of event occurrences in a given interval and serves as both the mean and variance of the distribution.
Explanation:
The unique parameter λ in the Poisson distribution is best understood as the average rate at which events occur in a given interval. In other words, λ represents the expected number of occurrences of an event in a specified interval of time or space, under the assumption that these events occur independently of each other.
For instance, if we measure the average number of emails a person receives per hour, and we find this average to be 5, then λ would be 5 in the Poisson model for predicting the number of emails received in any given hour.
Moreover, the parameter λ also serves as the distribution's mean and variance, which is a unique property of the Poisson distribution. This implies that if the average (mean) number of events per interval is λ, the variance (the measure of how much the number of events per interval varies) is also λ. Understanding this parameter is critical when modeling phenomena in various fields, such as biology, physics, and engineering.
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