#+TITLE:  Calcul de l'exercice 2 du module 2
#+AUTHOR: Corentin Stéphan
#+DATE:   02/05/2025
#+LANGUAGE: fr
# #+PROPERTY: header-args :eval never-export

#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>

* On reporte les données

#+begin_src python :results value :exports both :session
import numpy as np
data = [
    14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8,
    10.9, 12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4,
    17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3,
    14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2,
    16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4,
    15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4,
    18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4,
    15.7, 10.2, 8.9, 21.0
]
#+end_src

#+RESULTS:
: None

* Calculs

** moyenne 

#+begin_src python :results value :exports both :session
moyenne = np.mean(data)
moyenne
#+end_src

#+RESULTS:
: 14.113000000000001


** ecart-type
#+begin_src python :results value :exports both :session
ecart_type = np.std(data, ddof=1)
ecart_type
#+end_src

#+RESULTS:
: 4.334094455301447

** minimum
#+begin_src python :results value :exports both :session
minimum = np.min(data)
minimum
#+end_src

#+RESULTS:
: 2.8

** mediane
#+begin_src python :results value :exports both :session
mediane = np.median(data)
mediane
#+end_src

#+RESULTS:
: 14.5

** maximum
#+begin_src python :results value :exports both :session
maximum = np.max(data)
maximum
#+end_src

#+RESULTS:
: 23.4