132 lines
2.6 KiB
Plaintext
132 lines
2.6 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Générer les données pour le chapitre de Stat"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"import random\n",
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"import numpy as np"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Découverte de la médiane"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([ 9.32, 7.78, 10.43, 10.53, 10.83, 10.97, 9.02, 10.34, 11.01,\n",
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" 9.12, 10.13, 8.9 , 10.72, 9.22, 12.88, 9.29])"
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]
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},
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"execution_count": 19,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"picsou = np.random.normal(10, 1, 16).round(2)\n",
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"picsou"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([1.85, 1.54, 1.72, 1.68, 1.48, 1.54, 1.57, 1.55, 1.8 , 1.75, 1.79,\n",
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" 1.57, 1.57, 1.52, 1.5 , 1.74, 1.58, 1.59, 1.73, 1.53])"
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]
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},
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"execution_count": 17,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"sport = np.random.normal(1.6, 0.1, 20).round(2)\n",
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"sport"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([4033, 1178, 9512, 7896, 3253, 8789, 2494, 5446, 6015, 5977, 1738,\n",
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" 5501, 6654, 9135, 6954, 9867, 9144, 2386])"
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]
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},
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"execution_count": 16,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"votes = np.random.randint(0, 10000, 18)\n",
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"votes"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Découverte de l'étendu\n",
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"\n",
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"Deux groupes avec même médiane et même moyenne mais 2 étendues différentes"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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