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-rw-r--r-- | Doc/library/statistics.rst | 10 |
1 files 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 -<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:: |