*Mathematica* Notes

This page is a start at examining ways to use *Mathematica* as a tool in
understanding and teaching probability and statistics.

The links from this page will probably not be very useful unless you have a
working copy of *Mathematica*; they usually link to *Mathematica*
notebooks rather than HTML or XML web pages.

## Empirical Distribution Functions

*Empirical Distribution Functions* (EDF) are a way of looking at data in
a display similar to a cumulative distribution function. These papers are an
attempt to understand how to create and manipulate them in *Mathematica*.

- General characteristics of EDF
- This notebook is an attempt to provide a short overview of how to
interpret an EDF, oriented toward students who are not yet familiar with
probability distributions. There is a PDF
version as well.
- Manipulating EDF
- This notebook discusses how to plot EDFs, and some introductory discussion
on how to fit models (e.g. probability distributions) to them.

## Technology Notes

This notebook is an attempt to summarize my notes on the use
of personal computer technology in teaching probability and
statistics. It resulted from my attempts to record those observations
during my annual training visits to USMA, with some additions while at
home station. It is not complete—and probably never will be;
having retired, I no longer have access to *Mathematica* (being
no longer eligable for the faculty site license and unwilling to pay
the rather high list price for the program just to finish this
document). As a result, there are probably omissions, errors, and
infelicities in this that will not be corrected.

- Notes.nb
*Mathematica* notebook version of the *Technology Notes
for MA206 Instructors*.
- HTML
- HTML version of the notebook. Note that this is an export from
*Mathematica*, and as a result is not the most legible web page
possible.