From 01bf2196d842fc20667c5336e0a7a77eb4fdc25c Mon Sep 17 00:00:00 2001 From: Raymond Hettinger Date: Mon, 27 Jan 2020 18:31:46 -0800 Subject: 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. --- Doc/library/statistics.rst | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/Doc/library/statistics.rst b/Doc/library/statistics.rst index 09b02ca..026f4aa 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 -`_ 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: +`_ 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:: -- cgit v0.12