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4 cards from this section. Quick, good the night before a test.
What does λ represent in the context of the Poisson distribution?
Think about the average rate of calls in telecommunications.
Is the Poisson distribution discrete or continuous?
Consider the type of events it models.
What type of probability does the Poisson distribution deal with?
Think about how events are counted.
True or False: The Poisson distribution can be used to model the number of calls received every minute.
Consider the flexibility of the Poisson model.
A call center receives an average of 30 calls every hour. If one hour represents λ = 30, what is the probability of getting at least 25 calls in the next hour?
Consider using the complement rule to simplify calculations.
In a telecom system, the average arrival rate for SMS messages is λ = 120 messages per hour. Calculate the probability of receiving exactly 80 messages in an hour.
Ensure to apply the model correctly.
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