January 2017
Beginner to intermediate
280 pages
217h 11m
English
Earlier we discussed the probability values of an event. We now explore the properties of probability distributions. We see how popular distributions, such as the normal, Poisson, binomial, and exponential probability distributions, can save us time and effort. Since a random variable may be discrete or continuous, we consider discrete probability distributions and continuous probability distributions seperately.
When we have a discrete random variable, there is a probability value assigned to each event. These values must be between 0 and 1, and they must sum to 1. Let’s look at an example.
The 100 students in Pat Shannon’s statistics class have just completed ...