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4 cards from this section. Quick, good the night before a test.
What is the mean and variance of a Poisson distribution?
Think about the parameters that define this distribution.
Name one application of the Poisson distribution.
Consider where you see random occurrences.
What is the mean of a Poisson distribution?
Remember what represents the rate of events.
The Poisson distribution is appropriate when events occur how?
Consider the conditions defining the distribution.
A bookstore sells an average of 20 books a day. What is the probability that they will sell exactly 18 books tomorrow?
Calculate using the PMF formula and remember to use BB = 20.
In a certain region, the average number of earthquakes per month is 3. What is the probability of experiencing more than 4 earthquakes in the next month?
Calculate the probabilities for 0 to 4 first, then subtract from 1.
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