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715d998f42c58555b2fbdb5aca4064cb
mooc-rr
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ff3a183d
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ff3a183d
authored
Jul 21, 2020
by
715d998f42c58555b2fbdb5aca4064cb
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Update exercice_R_fr.org
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exercice_R_fr.org
module2/exo2/exercice_R_fr.org
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module2/exo2/exercice_R_fr.org
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ff3a183d
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@@ -11,20 +11,27 @@
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@@ -11,20 +11,27 @@
#+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/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
#+begin_src
python :results output
:exports both
#+begin_src
R :results output :session *R*
:exports both
import numpy as np
dataMooc <- c(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)
data= np.array([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]
)
mean(dataMooc
)
print("Moyenne : ", round( data.mean(),2)
)
min(dataMooc
)
print("Min : ", round(min(data),2)
)
max(dataMooc
)
print("Max : ", round(max(data),2)
)
median(dataMooc
)
print("Médiane : ", round(np.median(data),2)
)
sd(dataMooc
)
print("Ecart-Type : ", round(np.std(data, ddof=1),2))
#+end_src
#+end_src
#+RESULTS:
#+RESULTS:
: Moyenne : 14.11
#+begin_example
: Min : 2.8
: Max : 23.4
[1] 14.113
: Médiane : 14.5
: Ecart-Type : 4.33
[1] 2.8
\ No newline at end of file
[1] 23.4
[1] 14.5
[1] 4.334094
#+end_example
\ No newline at end of file
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