In a box plot, it is easy to see the range of where 50% of your data lies. Let’s examine this a little further by describing ...

Total numbers of artifacts from shovel tests and their locations on the site grid were entered into a computer mapping program that generated these “distribution plots.” From the top, the maps show ...

To fully understand your data, there are four characteristics you should use to describe it. They are the center, spread, ...

The following properties of Q-Q plots and probability plots make them useful diagnostics of how well a specified theoretical distribution fits a set of measurements: Q-Q plots are more convenient than ...