Overview Section
In this lesson, we learn about another specially named discrete probability distribution, namely the Poisson distribution.
Objectives
Upon completion of this lesson, you should be able to:
- To learn the situation that makes a discrete random variable a Poisson random variable.
- To learn a heuristic derivation of the probability mass function of a Poisson random variable.
- To learn how to use the Poisson p.m.f. to calculate probabilities for a Poisson random variable.
- To learn how to use a standard Poisson cumulative probability table to calculate probabilities for a Poisson random variable.
- To explore the key properties, such as the moment-generating function, mean and variance, of a Poisson random variable.
- To learn how to use the Poisson distribution to approximate binomial probabilities.
- To understand the steps involved in each of the proofs in the lesson.
- To be able to apply the methods learned in the lesson to new problems.