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Practical Data Analysis with JMP® by Robert Carver

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Three Common Discrete Distributions

There are quite a large number of theoretical discrete distributions. This section and the next demonstrate how JMP implements only three of them, but others work similarly. In this section, we'll see how to build a data table that computes probability values for each distribution; in the next section we'll simulate random observations that conform to each distribution.

For these illustrations, we'll consider three random variables, each of which can assume values starting at 0 up to a maximum value of 20. To begin, we'll set up a new data table whose first column is a list of integers from 0 to 20.

  1. Select File → New → Data Table (or CTRL-N).

  2. Double-click the word Untitled in the table panel, and name this ...

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