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This is to respond to Alan's message:<br>
<br>
Message: 7<br>
Date: Fri, 16 Aug 2013 11:20:32 -0400<br>
From: Alan G Isaac <a class="moz-txt-link-rfc2396E"
href="mailto:alan.isaac@gmail.com"><alan.isaac@gmail.com></a><br>
Subject: [Numpy-discussion] PEP 450 (stats module for standard<br>
library)<br>
To: Discussion of Numerical Python <a class="moz-txt-link-rfc2396E"
href="mailto:numpy-discussion@scipy.org"><numpy-discussion@scipy.org></a><br>
Message-ID: <a class="moz-txt-link-rfc2396E"
href="mailto:520E4340.5010108@gmail.com"><520E4340.5010108@gmail.com></a><br>
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<br>
<a class="moz-txt-link-freetext"
href="http://www.python.org/dev/peps/pep-0450/">http://www.python.org/dev/peps/pep-0450/</a><br>
<a class="moz-txt-link-freetext"
href="https://groups.google.com/forum/#%21topic/comp.lang.python/IV-3mobU7L0">https://groups.google.com/forum/#!topic/comp.lang.python/IV-3mobU7L0</a><br>
<br>
Alan Isaac<br>
<br>
I suggest that the objectives should clearly identify the target
group. It appears to be secondary school students.<br>
<br>
The overall aim should be compatibility with the numpy calls.
Intentional deviations should be justified.<br>
<br>
Mean, median, variance, standard deviation correlation and simple
regression are desirable.<br>
<br>
The Poisson distribution should be included, I liked the story about
horses in the Prussian army.<br>
<br>
lsr.py provides the start of a regression package for numpy: <a
class="moz-txt-link-freetext"
href="https://pypi.python.org/pypi/lsr.SID/0.3">https://pypi.python.org/pypi/lsr.SID/0.3</a><br>
<br>
This is based on matrices, which are probably not widely taught to
secondary students.<br>
<br>
# See: <a class="moz-txt-link-freetext"
href="http://www.stat.purdue.edu/%7Ejennings/stat514/stat512notes/topic3.pdf">http://www.stat.purdue.edu/~jennings/stat514/stat512notes/topic3.pdf</a><br>
# or: <a class="moz-txt-link-freetext"
href="http://www.stat.purdue.edu/%7Ezhangdb/stat525/notes/ch5.pdf">http://www.stat.purdue.edu/~zhangdb/stat525/notes/ch5.pdf</a>
- better<br>
<br>
Colin W.<br>
<br>
<br>
<br>
<br>
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