[Python-checkins] bpo-36018: Minor fixes to the NormalDist() examples and recipes. (GH-18226)
Raymond Hettinger
webhook-mailer at python.org
Mon Jan 27 21:31:55 EST 2020
https://github.com/python/cpython/commit/01bf2196d842fc20667c5336e0a7a77eb4fdc25c
commit: 01bf2196d842fc20667c5336e0a7a77eb4fdc25c
branch: master
author: Raymond Hettinger <rhettinger at users.noreply.github.com>
committer: GitHub <noreply at github.com>
date: 2020-01-27T18:31:46-08:00
summary:
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.
files:
M Doc/library/statistics.rst
diff --git a/Doc/library/statistics.rst b/Doc/library/statistics.rst
index 09b02cabf21f8..026f4aa462d3d 100644
--- a/Doc/library/statistics.rst
+++ b/Doc/library/statistics.rst
@@ -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::
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