We have been working through the discrete distributions. In this lesson, we are going to talk about the last distribution which is the Poisson distribution. After that, we will get into continuous distributions in some future lectures. The Poisson distribution describes events that occur randomly and independently. The typical example of the Poisson distribution is, if you are working in a call center. You are just waiting for the phone ring, and there is really no connection between the number of phone calls that you get from 1 hour to the next. The random variable that we are keeping track of, is the number of calls that you get in an hour.
Lecture Slides are screen-captured images of important points in the lecture. Students can download and print out these lecture slide images to do practice problems as well as take notes while watching the lecture.