From e3d4a1107599f1bc632da7008218885eda319ac0 Mon Sep 17 00:00:00 2001 From: Paula3228 Date: Sun, 2 Feb 2025 19:23:40 +0000 Subject: [PATCH] Main Proyecto de Stadistica descriptiva con Python --- notebook/problems.ipynb | 74 ++++++++++++++++++++++++++++++++++++----- 1 file changed, 66 insertions(+), 8 deletions(-) diff --git a/notebook/problems.ipynb b/notebook/problems.ipynb index a253f320..5ea05ecb 100644 --- a/notebook/problems.ipynb +++ b/notebook/problems.ipynb @@ -27,9 +27,58 @@ "execution_count": 1, "id": "34720ab6", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Normal vector: [ 0.49671415 -0.1382643 0.64768854 1.52302986 -0.23415337 -0.23413696\n", + " 1.57921282 0.76743473 -0.46947439 0.54256004 -0.46341769 -0.46572975\n", + " 0.24196227 -1.91328024 -1.72491783 -0.56228753 -1.01283112 0.31424733\n", + " -0.90802408 -1.4123037 1.46564877 -0.2257763 0.0675282 -1.42474819\n", + " -0.54438272 0.11092259 -1.15099358 0.37569802 -0.60063869 -0.29169375\n", + " -0.60170661 1.85227818 -0.01349722 -1.05771093 0.82254491 -1.22084365\n", + " 0.2088636 -1.95967012 -1.32818605 0.19686124 0.73846658 0.17136828\n", + " -0.11564828 -0.3011037 -1.47852199 -0.71984421 -0.46063877 1.05712223\n", + " 0.34361829 -1.76304016 0.32408397 -0.38508228 -0.676922 0.61167629\n", + " 1.03099952 0.93128012 -0.83921752 -0.30921238 0.33126343 0.97554513\n", + " -0.47917424 -0.18565898 -1.10633497 -1.19620662 0.81252582 1.35624003\n", + " -0.07201012 1.0035329 0.36163603 -0.64511975 0.36139561 1.53803657\n", + " -0.03582604 1.56464366 -2.6197451 0.8219025 0.08704707 -0.29900735\n", + " 0.09176078 -1.98756891 -0.21967189 0.35711257 1.47789404 -0.51827022\n", + " -0.8084936 -0.50175704 0.91540212 0.32875111 -0.5297602 0.51326743\n", + " 0.09707755 0.96864499 -0.70205309 -0.32766215 -0.39210815 -1.46351495\n", + " 0.29612028 0.26105527 0.00511346 -0.23458713]\n", + "Chi-square vector: [ 0.4168513 1.53749288 2.0019707 3.31954478 2.93509884 2.17617828\n", + " 0.15830407 2.27652419 2.46587889 12.72456265 1.94196651 3.04725102\n", + " 5.77516859 4.36378602 6.86491387 0.42618426 0.78098785 1.3113313\n", + " 0.33084683 2.48460231 0.85740894 7.53845363 1.01734997 1.7044591\n", + " 4.56886089 0.55649438 0.29858042 2.75534614 2.9409741 4.4625349\n", + " 3.65222252 3.03548985 1.15103525 2.87187902 3.02542952 1.10535719\n", + " 9.13003056 3.51390358 0.79761542 4.48007115 5.09450961 3.3434575\n", + " 1.84236463 1.05445618 2.17070629 3.15061854 2.36153348 7.09243827\n", + " 3.96269904 0.92828493 0.70025868 3.53848141 1.8831237 4.24057767\n", + " 3.51221427 2.17951444 0.94044813 0.35233451 2.82705909 0.54422803\n", + " 0.89743356 2.68142092 2.4613509 0.63275656 5.54211583 5.43039306\n", + " 3.63214678 3.62852305 3.63218282 5.06050325 4.04232775 1.03035801\n", + " 1.85822454 11.7557897 0.17754328 1.45511551 5.56483363 1.10410752\n", + " 4.1308596 2.43317078 1.18979801 2.75974204 1.00588199 2.09414701\n", + " 3.60307013 4.7477682 1.450369 1.18741582 0.531925 4.9308192\n", + " 10.57550712 5.34984734 6.2796709 1.11415225 3.42940531 4.43865013\n", + " 0.74626305 0.13247338 0.50086102 2.0667793 ]\n" + ] + } + ], "source": [ - "# TODO" + "import numpy as np\n", + "\n", + "np.random.seed(42)\n", + "\n", + "normal = np.random.normal(size = 100)\n", + "chi = np.random.chisquare(3, 100)\n", + "\n", + "print(f\"Normal vector: {normal}\")\n", + "print(f\"Chi-square vector: {chi}\")" ] }, { @@ -51,18 +100,27 @@ "execution_count": 2, "id": "d590308e", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Normal mean: -0.10384651739409385\n", + "Chi mean: 2.9380795335328225\n" + ] + } + ], "source": [ - "# TODO" + "import statistics as stats\n", + "\n", + "print(f\"Normal mean: {stats.mean(normal)}\")\n", + "print(f\"Chi mean: {stats.mean(chi)}\")" ] } ], "metadata": { - "interpreter": { - "hash": "9248718ffe6ce6938b217e69dbcc175ea21f4c6b28a317e96c05334edae734bb" - }, "kernelspec": { - "display_name": "Python 3.9.12 ('ML-BOOTCAMP')", + "display_name": "Python 3", "language": "python", "name": "python3" },