Feat: bilan de l'étape 1

Feat: Étape 1 sur la binomiale
2020-10-28 11:42:57 +01:00 · 2020-10-28 11:20:48 +01:00
13 changed files with 2439 additions and 23 deletions
--- a/Complementaire/01_Binomiale_et_echantillonnage/1B.tex
+++ b/Complementaire/01_Binomiale_et_echantillonnage/1B.tex
@ -1,14 +0,0 @@
-\documentclass[a4paper,10pt]{article}
-\usepackage{myXsim}
-
-\author{Benjamin Bertrand}
-\title{Binomiale et echantillonnage - Cours}
-\date{octobre 2020}
-
-\pagestyle{empty}
-
-\begin{document}
-
-\maketitle
-
-\end{document}
--- a/Complementaire/01_Binomiale_et_echantillonnage/1B_bernoulli_binomiale.pdf
+++ b/Complementaire/01_Binomiale_et_echantillonnage/1B_bernoulli_binomiale.pdf
--- a/Complementaire/01_Binomiale_et_echantillonnage/1B_bernoulli_binomiale.tex
+++ b/Complementaire/01_Binomiale_et_echantillonnage/1B_bernoulli_binomiale.tex
@ -0,0 +1,70 @@
+\documentclass[a4paper,10pt]{article}
+\usepackage{myXsim}
+
+\author{Benjamin Bertrand}
+\title{Binomiale et echantillonnage - Cours}
+\date{octobre 2020}
+
+\pagestyle{empty}
+
+\begin{document}
+
+\maketitle
+
+\section{Expérience et loi de Bernoulli}
+
+\subsection*{Définition}
+
+Une expérience aléatoire qui a deux issues possibles (que l'on nommera \textbf{succès} et \textbf{échec}) est appelé \textbf{expérience de Bernoulli}.
+
+En associant la valeur 1 à un succès et 0 à un échec. On peut modéliser cette expérience avec un variable aléatoire $X$ qui suit un \textbf{loi de Bernoulli} (notée $X \sim \mathcal{B}(p)$) résumée par le tableau suivant:
+
+\begin{center}
+    \begin{tabular}{|c|*{2}{C{2cm}|}}
+        \hline
+        Valeurs & 1 & 0 \\
+        \hline
+        Probabilité & p & 1-p \\
+        \hline
+    \end{tabular}
+\end{center}
+
+où $p$ est la probabilité d'avoir un succès.
+
+\subsubsection*{Exemple}
+Un passager qui a 9 chances sur 10 de se présenter à l'embarquement d'un avion.
+
+\afaire{Préciser ce qu'est le succès, l'échec, déterminer la valeur de $p$ et compléter le tableau}
+
+\subsection*{Propriétés}
+Soit $X \sim \mathcal{B}$ alors
+\begin{itemize}
+    \item L'espérance de $X$ est $E[X] = p$
+    \item L'écart-type de $X$ est $\sigma = p(1-p)$
+\end{itemize}
+
+\subsubsection*{Démonstration}
+\afaire{Démontrer la formule de l'espérance}
+
+\section{Loi binomiale}
+
+On a vu que pour simuler tout un vol, c'est à dire 53 passagers, il fallait répéter 53 fois la loi de Bernoulli vue dans l'exemple précédent. Les répétitions de loi de Bernoulli s'appellent \textbf{schéma de Bernoulli} et sont modéliser avec une loi \textbf{binomiale}.
+
+\subsection*{Définition}
+
+La \textbf{loi Binomiale de paramètre $n$ et $p$} notée $\mathcal{B}(n;p)$ est la loi de probabilité qui modélise la répétition indépendantes et identiques de $n$ situations modélisées par une loi de Bernoulli de paramètre $p$.
+
+\bigskip
+
+Ces situations peuvent être représenté par un arbre de probabilité où chaque étage correspond à une répétition.
+
+\subsubsection*{Exemple}
+
+Dans une classe de 20 élèves, Sarah ne veut pas être interrogée sur son travail. Le professeur interroge au hasard 3 élèves qu'il choisit de façon indépendantes et identiques.
+
+On note $X$ le nombre de fois que Sarah est interrogée. 
+
+\afaire{Quelle loi suit $X$? Représenter la situation avec un arbre de probabilité}
+
+
+\end{document}
--- a/Complementaire/01_Binomiale_et_echantillonnage/1E_surreservation.pdf
+++ b/Complementaire/01_Binomiale_et_echantillonnage/1E_surreservation.pdf
--- a/Complementaire/01_Binomiale_et_echantillonnage/1E_surreservation.tex
+++ b/Complementaire/01_Binomiale_et_echantillonnage/1E_surreservation.tex
@ -2,7 +2,7 @@
 \usepackage{myXsim}

 \author{Benjamin Bertrand}
-\title{Binomiale et echantillonnage - Cours}
+\title{Simulation de suréservation}
 \date{octobre 2020}

 \DeclareExerciseCollection{banque}
--- a/Complementaire/01_Binomiale_et_echantillonnage/exercises.tex
+++ b/Complementaire/01_Binomiale_et_echantillonnage/exercises.tex
@ -1,10 +1,64 @@
 \collectexercises{banque}
-\begin{exercise}[subtitle={<++>}, step={1}, origin={<++>}, topics={Binomiale et echantillonnage}, tags={Probabilité, Échantillonnage, Binomiale}]
-    <++>
+\begin{exercise}[subtitle={Surréservation}, step={1}, origin={Création}, topics={Binomiale et echantillonnage}, tags={Probabilité, Échantillonnage, Binomiale}]
+    Pour obtenir un taux de remplissage convenable, les compagnies aériennes vendent régulièrement plus de place que n'en comporte l'avion car il arrive que des personnes ne se présentent pas au décollage. Si un passagers a réservé mais qu'il n'y a plus de place dans l'avion, il faudra par contre le dédommager. C'est pour cela qu'il faut évaluer le risque de surréservation.
+
+    On considère une ligne aérienne entre deux villes pour laquelle:
+    \begin{multicols}{2}
+        \begin{itemize}
+            \item Tous les avions ont 50 places.
+            \item 53 réservations sont vendues pour chaque vol (on supposera qu'elles sont toutes vendues)
+            \item Chaque personne ayant réservé a 9 chance sur 10 de se présenter à l'embarquement ( donc 1 chance sur 10 de ne pas se présenter).
+            \item Un billet vendu rapporte 100\euro. Un billet remboursé coûte 250\euro à la compagnie.
+            \item Chaque personne ayant réservé une place se présente au non à l'embarquement indépendamment des autres personnes ayant réservé sur le même vol.
+        \end{itemize}
+    \end{multicols}
+
+    \begin{center}
+        \textbf{La compagnie prend elle un risque en vendant 53 places au lieu des 50 disponibles?}
+    \end{center}
+
+    Pour évaluer les risques liés à une surréservation, nous allons \textbf{simuler} avec le tableur plusieurs vols sur cette ligne.
+
+    \begin{enumerate}
+        \item On commence par simuler un vol où 53 places ont été vendues.
+
+            \begin{minipage}{0.6\textwidth}
+                Pour savoir si une personne se présente ou non à l'embarquement, nous utiliserons la commande \calc{=SI(ALEA()>0.9;0;1)}. Cette commande renvoie:
+                \begin{itemize}
+                    \item 0 si le passager ne s'est pas présenté
+                    \item 1 s'il s'est présenté.
+                \end{itemize}
+                \begin{enumerate}
+                    \item Réaliser la simulation pour le premier vol
+                    \item Combien de personnes se sont-elles présentées à l'embarquement?
+                    \item Quelle formule peut-on rentrer en \texttt{B56} pour calculer ce nombre?
+                \end{enumerate}
+            \end{minipage}
+            \begin{minipage}{0.4\textwidth}
+                \includegraphics[scale=0.27]{./fig/vol1}
+            \end{minipage}
+
+        \item 
+            \begin{enumerate}
+                \item Réaliser cette simulation pour 100 vols de cette ligne.
+
+                    \hspace{-2cm}
+                    \includegraphics[scale=0.17]{./fig/vol100}
+
+                \item Quelle formule doit-on entrer en \texttt{CX56} pour calculer la moyenne du nombre de passager?
+                \item Pensez vous que le risque de surréservation est grand?
+            \end{enumerate}
+        \item On veut maintenant évaluer le risque de surréservation. Pour savoir si un vol est en surréservation, on utilise la commande \calc{=SI(nbr_passagers > 50;1;0)} (avec \lstinline|nbr_passagers| à remplacer le nom de la case)
+            \begin{enumerate}
+                \item Compléter le tableau pour connaître les vols en surréservation.
+
+                    \hspace{-2cm}
+                    \includegraphics[scale=0.15]{./fig/vol100_overbooking}
+                \item Quelle formule doit-on rentrer en \texttt{CX59} pour compter le nombre de vols en surréservation?
+                \item Quelle formule doit-on entrer dans \texttt{CX61} pour calculer la fréquence des vols en surréservation?
+            \end{enumerate}
+        \item Répondre à la question initiale en vous basant sur les résultats de votre simulation.
+    \end{enumerate}
 \end{exercise}

-\begin{solution}
-    <++>
-\end{solution}
-
 \collectexercisesstop{banque}
--- a/Complementaire/01_Binomiale_et_echantillonnage/fig/vol1.pdf
+++ b/Complementaire/01_Binomiale_et_echantillonnage/fig/vol1.pdf
--- a/Complementaire/01_Binomiale_et_echantillonnage/fig/vol1.svg
+++ b/Complementaire/01_Binomiale_et_echantillonnage/fig/vol1.svg
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--- a/Complementaire/01_Binomiale_et_echantillonnage/fig/vol100_overbooking.pdf
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+"
+       id="image5322"
+       x="4134.0459"
+       y="1710.1553" />
+  </g>
+</svg>
--- a/Complementaire/01_Binomiale_et_echantillonnage/index.rst
+++ b/Complementaire/01_Binomiale_et_echantillonnage/index.rst
@ -13,8 +13,16 @@ Binomiale et echantillonnage

 Activité avec le tableur où l'on essaie de simuler une situation de suréservation d'un avion.

+.. image:: ./1E_surreservation.pdf
+    :height: 200px
+    :alt: Simulation avec le tableur de la surréservation d'avions.
+
 Bilan: définitions de loi de Bernoulli et de la loi binomiale (caractères pour modéliser et représentation par un arbre).

+.. image:: ./1B_bernoulli_binomiale.pdf
+    :height: 200px
+    :alt: Cours sur la loi de bernoulli et la loi binomiale.
+
 Étape 2: Étude de situations aléatoires et répétées
 ===================================================
Author	SHA1	Message	Date
Bertrand Benjamin	5e2cec0743	Feat: bilan de l'étape 1 All checks were successful continuous-integration/drone/push Build is passing Details	2020-10-28 11:42:57 +01:00
Bertrand Benjamin	2c83c1987f	Feat: Étape 1 sur la binomiale	2020-10-28 11:20:48 +01:00