#+TITLE:  Exo2
#+AUTHOR: AL
#+DATE:
#+LANGUAGE: fr

* Calculs statistiques

#+begin_src python :results output :exports both :session *python*
import numpy as np

values = [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]

print("Valeur moyenne = %f" % np.mean(values))
print("Valeur médianne = %f" % np.median(values))
print("Ecart type = %f" % np.std(values, ddof=1))

#+end_src

#+RESULTS:
: Valeur moyenne = 14.113000
: Valeur médianne = 14.500000
: Ecart type = 4.334094

#+begin_src python :results output :exports both :session *python*
print("valeur mini = %f" % np.min(values))
print("valeur max  = %f" % np.max(values))
#+end_src

#+RESULTS:
: valeur mini = 2.800000
: valeur max  = 23.400000