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Diffstat (limited to 'Doc/library/statistics.rst')
| -rw-r--r-- | Doc/library/statistics.rst | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/Doc/library/statistics.rst b/Doc/library/statistics.rst index fd48619..1f55ae8 100644 --- a/Doc/library/statistics.rst +++ b/Doc/library/statistics.rst @@ -771,7 +771,7 @@ of applications in statistics. Compute the inverse cumulative distribution function, also known as the `quantile function <https://en.wikipedia.org/wiki/Quantile_function>`_ or the `percent-point - <https://www.statisticshowto.datasciencecentral.com/inverse-distribution-function/>`_ + <https://web.archive.org/web/20190203145224/https://www.statisticshowto.datasciencecentral.com/inverse-distribution-function/>`_ function. Mathematically, it is written ``x : P(X <= x) = p``. Finds the value *x* of the random variable *X* such that the @@ -920,7 +920,7 @@ probability that the Python room will stay within its capacity limits? Normal distributions commonly arise in machine learning problems. Wikipedia has a `nice example of a Naive Bayesian Classifier -<https://en.wikipedia.org/wiki/Naive_Bayes_classifier#Sex_classification>`_. +<https://en.wikipedia.org/wiki/Naive_Bayes_classifier#Person_classification>`_. The challenge is to predict a person's gender from measurements of normally distributed features including height, weight, and foot size. |