Dear Allstat folks,
You might be interested in these interactive tutorial programs,
designed to illustrate basic concepts.
Running the code opens up an interactive figure window.
When you click on a figure to add new points,
the statistical tests shown in the figure change accordingly.
http://www.dartmouth.edu/~raj/intro-stats.html
Here is a YouTube video showing the interactive demos in action:
http://www.youtube.com/watch?v=nCv_MhaeFo8
The tutorials are:
- interactive_mean_std_normal_distribution.py
- interactive_one_sample_t_test.py
- interactive_two_sample_t_test.py
- interactive_correlation_plot.py
The same webpage also contains Matlab versions of the scripts.
The code has lots of comments in it, which attempt to
explain the concepts as explicitly as possible.
No prior knowledge of Python, Matlab or statistics is assumed.
The Python programs require the SciPy and Matplotlib modules,
and the Matlab programs require the Stats toolbox.
Please feel more than free to use any of the code for teaching,
if you find it useful.
Yours,
Rajeev Raizada
Research Assistant Professor
Neukom Institute for Computational Science
Dartmouth College
HB 6255
Hanover NH 03755
Tel: 603 646 0175
E.mail: [log in to unmask]
WWW: http://www.dartmouth.edu/~raj
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