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3 cards from this section. Quick, good the night before a test.
What are the parameters of a Poisson distribution?
Remember it represents the average number of events.
List one application of the Poisson distribution.
Think about where you would see random events.
What is the probability mass function of a Poisson distribution?
Remember the structure of the PMF.
Is the mean of a Poisson distribution equal to its variance?
Think of the properties we discussed.
A bookstore sells an average of 4 novels per week. What is the probability that during a week, exactly 6 novels will be sold?
Identify λ and k first.
Two independent machines produce widgets with a defect rate modeled by Poisson distributions of λ1 = 3 and λ2 = 2. What is the probability of a total of 4 defects?
You’ll need to sum the means before calculating.
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