Consider the following distribution. You can see that our proportion column corresponds to probability. Which in turn correspond to the area under the curve for those intervals . Imagine that they are numbered tokens in a bag, and that your task is to reach in and pull one out. Now we'll move onto a different distribution, the Normal Distribution, and see how we work with probabilities.
Normal distribution is a commonly found distribution that is symmetrical and unimodal .
A few things to note about Normal Distributions . The normal distriution is often transformed into z-scores. An important tool that we'll use is the unit normal table . Using the unit normal table . And similar to last chapter, we can go in both directions.