Poisson distribution

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11 Terms

1

What is the Poisson distribution?

A probability distribution that represents the number of events occurring within a fixed interval of time or space.

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2

When is the Poisson distribution used?

When events occur independently and the average number of events in the interval is known.

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3

What is the formula for the Poisson probability mass function?

P(X=k) = (λ^k * e^(-λ)) / k! where λ is the average rate and k is the number of occurrences.

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4

What does the parameter 'λ' represent in Poisson distribution?

The average number of occurrences in the interval.

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5

What are some real-world examples of Poisson distribution?

Modeling the number of phone calls received by a call center per hour or the number of decay events from a radioactive source.

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6

What characteristic distinguishes the Poisson distribution from the binomial distribution?

The Poisson distribution is used for rare events, while the binomial distribution is for a fixed number of trials.

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7

What is the mean and variance of a Poisson distribution?

Both the mean and variance are equal to λ.

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8

What is the cumulative distribution function (CDF) in Poisson distribution?

It provides the probability that a random variable X is less than or equal to a certain value k.

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9

What assumption is made about events in a Poisson distribution?

Events are independent; the occurrence of one event does not affect the probability of another.

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10

How do you calculate Poisson probabilities for multiple k values?

Use the Poisson formula for each k and sum the probabilities for intervals of interest.

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