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91 changes: 87 additions & 4 deletions notebook/problems.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -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}\")"
]
},
{
Expand All @@ -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))"
]
}
],
Expand Down