From eca2a725c73398969d4a5a7758a5aafc9cda6fb8 Mon Sep 17 00:00:00 2001
From: Fernando <63268682+shorki@users.noreply.github.com>
Date: Wed, 10 Jul 2024 21:33:44 +0000
Subject: [PATCH] Main

---
 notebook/problems.ipynb | 91 +++++++++++++++++++++++++++++++++++++++--
 1 file changed, 87 insertions(+), 4 deletions(-)

diff --git a/notebook/problems.ipynb b/notebook/problems.ipynb
index a253f320..f87be166 100644
--- a/notebook/problems.ipynb
+++ b/notebook/problems.ipynb
@@ -27,9 +27,75 @@
             "execution_count": 1,
             "id": "34720ab6",
             "metadata": {},
-            "outputs": [],
+            "outputs": [
+                {
+                    "name": "stdout",
+                    "output_type": "stream",
+                    "text": [
+                        "Mediana de array normal: -0.022391902780748874\n",
+                        "Mediana de array chi: 3.0567587959236855\n",
+                        "Media de array normal: -0.05237194748456798\n",
+                        "Media de array chi: 3.6209611389375183\n",
+                        "Moda de array normal: 1.1151385022266151\n",
+                        "Moda de array chi: 0.9395751268334924\n",
+                        "El rango del array normal es: 4.091773130272832\n",
+                        "El rango del array chi es: 11.410794704327408\n",
+                        "la variacion normal del array normal es:  0.9221713598811796\n",
+                        "la variacion normal del array chi es:  7.97710446769979\n",
+                        "el desvio estandar del array normal es:  0.9602975371629251\n",
+                        "el desvio estandar del array chi es:  2.824376828204726\n"
+                    ]
+                }
+            ],
             "source": [
-                "# TODO"
+                "import numpy as np\n",
+                "import statistics as stats\n",
+                "from scipy.stats import skew\n",
+                "from scipy.stats import kurtosis\n",
+                "\n",
+                "\n",
+                "array_normal = np.random.normal(size=100)\n",
+                "#print(array_normal)\n",
+                "\n",
+                "array_chi = np.random.chisquare(df=3, size = 100)\n",
+                "#print(array_chi)\n",
+                "\n",
+                "\n",
+                "#Mediana\n",
+                "\n",
+                "print (f\"Mediana de array normal: {stats.median(array_normal)}\")\n",
+                "print (f\"Mediana de array chi: {stats.median(array_chi)}\")\n",
+                "\n",
+                "#Media \n",
+                "\n",
+                "print (f\"Media de array normal: {stats.mean(array_normal)}\")\n",
+                "print (f\"Media de array chi: {stats.mean(array_chi)}\")\n",
+                "\n",
+                "#Moda\n",
+                "\n",
+                "print (f\"Moda de array normal: {stats.mode(array_normal)}\")\n",
+                "print (f\"Moda de array chi: {stats.mode(array_chi)}\")\n",
+                "\n",
+                "#Rango\n",
+                "\n",
+                "rango_normal = max(array_normal) - min (array_normal)\n",
+                "rango_chi = max(array_chi) - min (array_chi)\n",
+                "\n",
+                "print(f\"El rango del array normal es: {rango_normal}\")\n",
+                "print(f\"El rango del array chi es: {rango_chi}\")\n",
+                "\n",
+                "#Variance \n",
+                "\n",
+                "var_normal = stats.variance(array_normal)\n",
+                "std_variance_normal = stats.stdev(array_normal)\n",
+                "\n",
+                "var_chi = stats.variance(array_chi)\n",
+                "std_variance_chi = stats.stdev(array_chi)\n",
+                "\n",
+                "print(f\"la variacion normal del array normal es:  {var_normal}\")\n",
+                "print(f\"la variacion normal del array chi es:  {var_chi}\")\n",
+                "print(f\"el desvio estandar del array normal es:  {std_variance_normal}\")\n",
+                "print(f\"el desvio estandar del array chi es:  {std_variance_chi}\")"
             ]
         },
         {
@@ -51,9 +117,26 @@
             "execution_count": 2,
             "id": "d590308e",
             "metadata": {},
-            "outputs": [],
+            "outputs": [
+                {
+                    "name": "stdout",
+                    "output_type": "stream",
+                    "text": [
+                        "2.23606797749979\n"
+                    ]
+                }
+            ],
             "source": [
-                "# TODO"
+                "def desv_std (data):\n",
+                "    n=len(data)\n",
+                "    mean = sum(data)/n\n",
+                "    variance = sum((x - mean) ** 2 for x in data) / (n - 1)\n",
+                "    std_dev = variance ** 0.5\n",
+                "    return std_dev\n",
+                "\n",
+                "data = [4,2,5,8,6]\n",
+                "\n",
+                "print(desv_std(data))"
             ]
         }
     ],