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bpo-36018: Minor fixes to the NormalDist() examples and recipes. (GH-18226) 

* Change the source for the SAT data to a primary source.
* Fix typo in the standard deviation
* Clarify that the binomial probabalities are just for the Python room.
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Raymond Hettinger 2020-01-27 18:31:46 -08:00 committed by GitHub
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@ -734,10 +734,10 @@ of applications in statistics.
:class:`NormalDist` readily solves classic probability problems.
For example, given `historical data for SAT exams
<https://blog.prepscholar.com/sat-standard-deviation>`_ showing that scores
are normally distributed with a mean of 1060 and a standard deviation of 192,
determine the percentage of students with test scores between 1100 and
1200, after rounding to the nearest whole number:
<https://nces.ed.gov/programs/digest/d17/tables/dt17_226.40.asp>`_ showing
that scores are normally distributed with a mean of 1060 and a standard
deviation of 195, determine the percentage of students with test scores
between 1100 and 1200, after rounding to the nearest whole number:
.. doctest::
@ -781,7 +781,7 @@ For example, an open source conference has 750 attendees and two rooms with a
500 person capacity. There is a talk about Python and another about Ruby.
In previous conferences, 65% of the attendees preferred to listen to Python
talks. Assuming the population preferences haven't changed, what is the
probability that the rooms will stay within their capacity limits?
probability that the Python room will stay within its capacity limits?
.. doctest::