{ "cells": [ { "source": [ "# MOOC RR\n", "\n", "## Module 2: exo 3\n", "\n", "Premièrement, nous importons les _librairies_ nécessaires:" ], "cell_type": "markdown", "metadata": {} }, { "source": [ "from statistics import mean, median, stdev" ], "cell_type": "code", "metadata": {}, "execution_count": 1, "outputs": [] }, { "source": [ "Ensuite, nous stockons les données dans une variable `data`:" ], "cell_type": "markdown", "metadata": {} }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "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]" ] }, { "source": [ "Ceci étant fait, passons aux questions.\n", "\n", "### Calcul de la moyenne:" ], "cell_type": "markdown", "metadata": {} }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "moyenne = 14.113\n" ] } ], "source": [ "moyenne = mean(data)\n", "print(f\"moyenne = {moyenne}\")" ] }, { "source": [ "### Calcul du minimum et maximum:" ], "cell_type": "markdown", "metadata": {} }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "maximum = 23.4\nminimum = 2.8\n" ] } ], "source": [ "maximum = max(data)\n", "print(f\"maximum = {maximum}\")\n", "\n", "minimum = min(data)\n", "print(f\"minimum = {minimum}\")" ] }, { "source": [ "### Calcul de la médiane et de l'écart-type:" ], "cell_type": "markdown", "metadata": {} }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "médiane = 14.5\nécart-type = 4.334094455301447\n" ] } ], "source": [ "med = median(data)\n", "print(f\"médiane = {med}\")\n", "\n", "ec = stdev(data)\n", "print(f\"écart-type = {ec}\")" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.5-final" } }, "nbformat": 4, "nbformat_minor": 2 }