This is to respond to Alan's message:

Message: 7
Date: Fri, 16 Aug 2013 11:20:32 -0400
From: Alan G Isaac <alan.is...@gmail.com>
Subject: [Numpy-discussion] PEP 450 (stats module for standard
    library)
To: Discussion of Numerical Python <numpy-discussion@scipy.org>
Message-ID: <520e4340.5010...@gmail.com>
Content-Type: text/plain; charset=UTF-8; format=flowed

http://www.python.org/dev/peps/pep-0450/
https://groups.google.com/forum/#!topic/comp.lang.python/IV-3mobU7L0

Alan Isaac

I suggest that the objectives should clearly identify the target group.  It appears to be secondary school students.

The overall aim should be compatibility with the numpy calls.  Intentional deviations should be justified.

Mean, median, variance, standard deviation correlation and simple regression are desirable.

The Poisson distribution should be included, I liked the story about horses in the Prussian army.

lsr.py provides the start of a regression package for numpy: https://pypi.python.org/pypi/lsr.SID/0.3

This is based on matrices, which are probably not widely taught to secondary students.

#               See: http://www.stat.purdue.edu/~jennings/stat514/stat512notes/topic3.pdf
#               or:  http://www.stat.purdue.edu/~zhangdb/stat525/notes/ch5.pdf - better

Colin W.




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