Mirror
/
cpython
mirror of https://github.com/python/cpython
4
1
Fork 0
Code Issues Releases Wiki Activity

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.
This commit is contained in:
Raymond Hettinger 2020-01-27 18:31:46 -08:00 committed by GitHub
parent 884eb89d4a
commit 01bf2196d8
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 5 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

10
Doc/library/statistics.rst
View File

@ -734,10 +734,10 @@ of applications in statistics.
:class:`NormalDist` readily solves classic probability problems. :class:`NormalDist` readily solves classic probability problems.
For example, given `historical data for SAT exams For example, given `historical data for SAT exams
<https://blog.prepscholar.com/sat-standard-deviation>`_ showing that scores <https://nces.ed.gov/programs/digest/d17/tables/dt17_226.40.asp>`_ showing
are normally distributed with a mean of 1060 and a standard deviation of 192, that scores are normally distributed with a mean of 1060 and a standard
determine the percentage of students with test scores between 1100 and deviation of 195, determine the percentage of students with test scores
1200, after rounding to the nearest whole number: between 1100 and 1200, after rounding to the nearest whole number:
.. doctest:: .. 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. 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 In previous conferences, 65% of the attendees preferred to listen to Python
talks. Assuming the population preferences haven't changed, what is the 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:: .. doctest::