diff --git a/your-code/main.ipynb b/your-code/main.ipynb index a56b2c4..2ed090d 100755 --- a/your-code/main.ipynb +++ b/your-code/main.ipynb @@ -35,11 +35,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2.09214712 2.07828288 2.62520469 2.18466797 2.13988522 2.89102899\n", + " 2.3759319 2.12371252 2.71030468 2.99321752]\n" + ] + } + ], "source": [ "from scipy.stats import uniform\n", + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "%matplotlib inline\n", + "\n", "x = uniform.rvs(size=10)\n", "a = 2\n", "b = 3\n", @@ -73,11 +88,55 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 47, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "x = uniform.rvs(size=100)\n", + "a = 10\n", + "b = 15\n", + "R = a + (b-a)*x\n", + "sns.histplot(R);" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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SBPgQsLeq3r/k0MT2nWQmyTO7x08BXgHcx4T2XFXvrqrTq2qWwZIwX6qq1zOh/R6S5GlJnn7oMfAbwD1McN9V9V3g4STP7oa2AN9gBD1PxR3NSa4HXsZgqdkDwFXA3wO7gTOAh4BLq+q/eipx1SV5CfAvwNf5+fnm9zD4XmEi+07y68AuBkukHAfsrqo/T/LLTGjPhyR5GfDHVXXxpPeb5FkMZgcwOK3yd1X13ino+xzgWuAE4FvAG+n+f84q9jwVoSBJGs40nz6SJB3GUJAkNYaCJKkxFCRJjaEgSWoMBUlSYyhIkpr/AzZLLyxU/NjUAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "# your code here" + "x = uniform.rvs(size=1000)\n", + "a = 10\n", + "b = 60\n", + "R = a + (b-a)*x\n", + "sns.histplot(R);" ] }, { @@ -89,11 +148,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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tDObcJ0aSAB8E9lXV+4ZOTWS/k8wkeWq3/yTgZcD9TGh/AarqXVV1dlVtZrAkzGer6vVMcJ+TnJrkKT/eB14B3MsE97mqvgE8nOTpXdNW4MuMqM9T8Y3mJDcBL2Gw1Owh4Brg74DdwDnAQ8DlVfXtnkpcdkleBPwz8CV+Mt/8bgbvK0xcv5P8ErCLwfIoJwG7q+qPk/wsE9jfoyV5CfAHVfXKSe5zkqcxGB3AYFrlr6vqPZPcZ4Ak5wPXAycDXwHeSPf3nGXu81SEgiRpcaZ5+kiSdBRDQZLUGAqSpMZQkCQ1hoIkqTEUJEmNoSBJav4PvjUwwPCb6sUAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "# your answer below" + "# your answer below\n", + "#El numero de repeticiones cambia la distribución" ] }, { @@ -114,11 +187,53 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "from scipy.stats import norm\n", + "\n", + "a=norm(loc=10, scale=1)\n", + "m=a.rvs(size=1000)\n", + "sns.histplot(m);" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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p++nAE4d/wwvVPa3fpwX6MDW/iVU7Uqiq26pq5LOdk6wDjq+qz9Tg03g38Nxx1TeqB+nHecD7qureqvoacCfwlGntx4jm7VPPNS1kNU7Jch6wrXu8jSn83lTVp4H/Oqx5obqn8vu0QB8WMvE+rNpQOILTknw+yaeS/FzXtp7ByXOH7O7aptV6YNfQ80P1rpR+vDzJF7uh9KHh/kJ9mkYrqdb5FPCxJDd1U8cAnFJVewG6+5N7q25xFqp7pX1GU/GbmKrzFBYryceBH5vnpcuq6poFFtsLbKyqbyV5EvDPSR7HCFNsjMsS+7FQvb31Y9iD9Ql4G/AmBnW9Cfgz4KVMSe0jWkm1zuesqtqT5GTg2iRf6bugMVhJn9HU/CZWdChU1TOWsMy9wL3d45uS3AX8JIMEPnXorRObYmMp/WDhKUF668ewUfuU5G+BD3dPV9I0Jyup1h9QVXu6+/1JPshgk8S+JOuqam+3GXJ/r0WObqG6V8xnVFX7Dj3u+zcxc5uPkqztrttAktOBzcBXu2Hnd5I8tTta5yXAQn+lT4PtwIVJjk1yGoN+3LgS+tH9cA95HnDoKIx5+zTp+ka0YqdkSfKIJI869Bj4RQafwXZgS/e2LUzZ9+ZBLFT3ivk+TdVvou898WPcw/88Bil7L7AP+GjX/uvArQz26H8O+JWhZea6D+Mu4K/ozviexn50r13W1Xo7Q0cYTWM/DuvTe4AvAV9k8KVfd6Q+TeMNeA7wH129l/VdzyLqPr37/n+h+y1c1rX/KLADuKO7P7HvWuep/UoGm4C/2/0uLnqwuqfx+7RAH6bmN+E0F5KkZuY2H0mSFmYoSJIaQ0GS1BgKkqTGUJAkNYaCJKkxFCRJzf8DT1ngl4zJG0YAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "# your code here" + "a=norm(loc=10, scale=50)\n", + "m=a.rvs(size=1000)\n", + "sns.histplot(m);" ] }, { @@ -130,11 +245,12 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 49, "metadata": {}, "outputs": [], "source": [ - "# your answer below" + "# your answer below\n", + "#La desviacion tipica es mayor, por lo que los datos están mas dispersos a la media.\n" ] }, { @@ -158,11 +274,28 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 22, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "# your code here" + "# your code here\n", + "v=pd.read_csv('vehicles.csv')\n", + "v.hist(column='Fuel Barrels/Year');" ] }, { @@ -174,11 +307,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 24, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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MABcEMzNLXBDMzAxwQTAzs8QFwczMABcEMzNLXBDMzAxwQTAzs8QFwczMABcEMzNLXBDMzAxwQTAzs6TXgiDpBkmHJT2Ui50s6R5JD6f78bl5KyS1SNoj6dxcfJakHWneNUo/xixplKTbUnyrpCkVztHMzPqg199UBm4ErgXW5WLLgc0RsUrS8vT4SknTgSbgDOA04N8lvSkiXgKuB5YCDwDfBOYBm4AlwNMR8UZJTcCngQ9WIjl72ZTldw36NpfNbOeSIdiumZWm1z2EiLgfeKpTeD6wNk2vBRbk4usj4lhE7AVagLMkTQTGRsSWiAiy4rKgYF23A3M79h7MzGzw9GUPoUhdRBwEiIiDkk5N8UlkewAdWlPsxTTdOd7RZn9aV7ukI8ApwBOdNyppKdleBnV1dTQ3N3fpWFtbW2F8uKl0HstmtldsXX1VN3pottuhEs+fX0/VwzkMvFILQneKPtlHD/Ge2nQNRqwGVgM0NDREY2Njl2Wam5spig83lc5jKIZuls1s5+odlX6J9d2+hY1lr8Ovp+rhHAZeqWcZHUrDQKT7wyneCkzOLVcPHEjx+oL4b7SRNBI4ia5DVGZmNsBKLQgbgcVpejFwZy7elM4cmgpMA7al4aWjkman4wOLOrXpWNcHgHvTcQYzMxtEve7PS7oVaAQmSGoFPgmsAjZIWgI8AlwIEBE7JW0AdgHtwGXpDCOAS8nOWBpNdnbRphRfA9wkqYVsz6CpIpmZmVm/9FoQIuKibmbN7Wb5lcDKgvh2YEZB/HlSQTEzs6HjbyqbmRnggmBmZokLgpmZAS4IZmaWuCCYmRnggmBmZokLgpmZAS4IZmaWuCCYmRnggmBmZokLgpmZAS4IZmaWuCCYmRnggmBmZokLgpmZAS4IZmaWuCCYmRnggmBmZklZBUHSX0vaKekhSbdKerWkkyXdI+nhdD8+t/wKSS2S9kg6NxefJWlHmneNJJXTLzMz67+SC4KkScBfAg0RMQMYATQBy4HNETEN2JweI2l6mn8GMA+4TtKItLrrgaXAtHSbV2q/zMysNOUOGY0ERksaCRwPHADmA2vT/LXAgjQ9H1gfEcciYi/QApwlaSIwNiK2REQA63JtzMxskCh7Dy6xsXQ5sBJ4Drg7IhZKeiYixuWWeToixku6FnggIm5O8TXAJmAfsCoizknxs4ErI+L8gu0tJduToK6ubtb69eu79KmtrY0xY8aUnFO1qHQeOx49UrF19VXdaDj03KBv9tdmTjqp7HX49VQ9nENlzJkz58GIaCiaN7LUlaZjA/OBqcAzwFclXdxTk4JY9BDvGoxYDawGaGhoiMbGxi7LNDc3UxQfbiqdxyXL76rYuvpq2cx2rt5R8kusbPsWNpa9Dr+eqodzGHjlDBmdA+yNiMcj4kXgDuCdwKE0DES6P5yWbwUm59rXkw0xtabpznEzMxtE5RSER4DZko5PZwXNBXYDG4HFaZnFwJ1peiPQJGmUpKlkB4+3RcRB4Kik2Wk9i3JtzMxskJS8Px8RWyXdDnwfaAd+QDacMwbYIGkJWdG4MC2/U9IGYFda/rKIeCmt7lLgRmA02XGFTaX2y8zMSlPWAG9EfBL4ZKfwMbK9haLlV5IdhO4c3w7MKKcvZmZWHn9T2czMABcEMzNLXBDMzAxwQTAzs8QFwczMABcEMzNLXBDMzAxwQTAzs8QFwczMABcEMzNLhu7axGYDbEoFLvm9bGZ7vy8dvm/VeWVv12woeA/BzMwAFwQzM0tcEMzMDHBBMDOzxAXBzMwAFwQzM0tcEMzMDCizIEgaJ+l2ST+RtFvSOySdLOkeSQ+n+/G55VdIapG0R9K5ufgsSTvSvGskqZx+mZlZ/5W7h/BF4FsR8dvAm4HdwHJgc0RMAzanx0iaDjQBZwDzgOskjUjruR5YCkxLt3ll9svMzPqp5IIgaSzwHmANQES8EBHPAPOBtWmxtcCCND0fWB8RxyJiL9ACnCVpIjA2IrZERADrcm3MzGyQKHsPLqGh9BZgNbCLbO/gQeBy4NGIGJdb7umIGC/pWuCBiLg5xdcAm4B9wKqIOCfFzwaujIjzC7a5lGxPgrq6ulnr16/v0q+2tjbGjBlTUk7VpNJ57Hj0SMXW1Vd1o+HQc4O+2YoqJYeZk04amM6UoRb+L5xDZcyZM+fBiGgomlfOtYxGAmcCH4uIrZK+SBoe6kbRcYHoId41GLGarAjR0NAQjY2NXZZpbm6mKD7cVDqP/l6PpxKWzWzn6h3D+3JZpeSwb2HjwHSmDLXwf+EcBl45xxBagdaI2Joe305WIA6lYSDS/eHc8pNz7euBAyleXxA3M7NBVHJBiIjHgP2STk+huWTDRxuBxSm2GLgzTW8EmiSNkjSV7ODxtog4CByVNDudXbQo18bMzAZJufvzHwNukXQc8HPgw2RFZoOkJcAjwIUAEbFT0gayotEOXBYRL6X1XArcCIwmO66wqcx+mZlZP5VVECLih0DRwYm53Sy/ElhZEN8OzCinL2ZmVh5/U9nMzAAXBDMzS1wQzMwMcEEwM7PEBcHMzAAXBDMzS1wQzMwMcEEwM7PEBcHMzAAXBDMzS1wQzMwMcEEwM7PEBcHMzAAXBDMzS1wQzMwMcEEwM7PEBcHMzAAXBDMzS8ouCJJGSPqBpG+kxydLukfSw+l+fG7ZFZJaJO2RdG4uPkvSjjTvGkkqt19mZtY/ldhDuBzYnXu8HNgcEdOAzekxkqYDTcAZwDzgOkkjUpvrgaXAtHSbV4F+mZlZP5RVECTVA+cBX8mF5wNr0/RaYEEuvj4ijkXEXqAFOEvSRGBsRGyJiADW5dqYmdkgGVlm+y8AVwAn5mJ1EXEQICIOSjo1xScBD+SWa02xF9N053gXkpaS7UlQV1dHc3Nzl2Xa2toK48NNpfNYNrO9Yuvqq7rRQ7PdSiolh2p8/dXC/4VzGHglFwRJ5wOHI+JBSY19aVIQix7iXYMRq4HVAA0NDdHY2HWzzc3NFMWHm0rnccnyuyq2rr5aNrOdq3eU+5ljaJWSw76FjQPTmTLUwv+Fcxh45fy3vgu4QNL7gVcDYyXdDBySNDHtHUwEDqflW4HJufb1wIEUry+Im5nZICr5GEJErIiI+oiYQnaw+N6IuBjYCCxOiy0G7kzTG4EmSaMkTSU7eLwtDS8dlTQ7nV20KNfGzMwGyUDsz68CNkhaAjwCXAgQETslbQB2Ae3AZRHxUmpzKXAjMBrYlG5mZjaIKlIQIqIZaE7TTwJzu1luJbCyIL4dmFGJvpiZWWn8TWUzMwNcEMzMLHFBMDMzwAXBzMwSFwQzMwNcEMzMLHFBMDMzwAXBzMwSFwQzMwNcEMzMLHFBMDMzwAXBzMwSFwQzMwNcEMzMLHFBMDMzwAXBzMwSFwQzMwNcEMzMLCm5IEiaLOk+Sbsl7ZR0eYqfLOkeSQ+n+/G5NisktUjaI+ncXHyWpB1p3jWSVF5aZmbWX+XsIbQDyyLid4DZwGWSpgPLgc0RMQ3YnB6T5jUBZwDzgOskjUjruh5YCkxLt3ll9MvMzEpQckGIiIMR8f00fRTYDUwC5gNr02JrgQVpej6wPiKORcReoAU4S9JEYGxEbImIANbl2piZ2SBR9h5c5kqkKcD9wAzgkYgYl5v3dESMl3Qt8EBE3Jzia4BNwD5gVUSck+JnA1dGxPkF21lKtidBXV3drPXr13fpS1tbG2PGjCk7p6FW6Tx2PHqkYuvqq7rRcOi5Qd9sRQ23HGZOOqkwXgv/F86hMubMmfNgRDQUzRtZ7soljQH+DfiriPhFD8P/RTOih3jXYMRqYDVAQ0NDNDY2dlmmubmZovhwU+k8Lll+V8XW1VfLZrZz9Y6yX2JDarjlsG9hY2G8Fv4vnMPAK+ssI0mvIisGt0TEHSl8KA0Dke4Pp3grMDnXvB44kOL1BXEzMxtE5ZxlJGANsDsiPpebtRFYnKYXA3fm4k2SRkmaSnbweFtEHASOSpqd1rko18bMzAZJOfvC7wI+BOyQ9MMU+xtgFbBB0hLgEeBCgIjYKWkDsIvsDKXLIuKl1O5S4EZgNNlxhU1l9MvMzEpQckGIiO9QPP4PMLebNiuBlQXx7WQHpM3MbIj4m8pmZga4IJiZWeKCYGZmgAuCmZklLghmZga4IJiZWeKCYGZmgAuCmZklLghmZga4IJiZWTJ8rutbI6b08TLUy2a2D8klq83slct7CGZmBrggmJlZ4iEjsxrS3ZDkQA9B7lt13oCt2waP9xDMzAxwQTAzs8QFwczMABcEMzNLqqYgSJonaY+kFknLh7o/ZmavNFVRECSNAL4EvA+YDlwkafrQ9srM7JWlWk47PQtoiYifA0haD8wHdg3Exvr6bWEz65vB+J/q7tRZn/JaOYqIoe4Dkj4AzIuIP0uPPwS8PSI+2mm5pcDS9PB0YE/B6iYATwxgdwdLLeThHKpHLeThHCrjdRHxmqIZ1bKHoIJYl0oVEauB1T2uSNoeEQ2V6thQqYU8nEP1qIU8nMPAq4pjCEArMDn3uB44MER9MTN7RaqWgvA9YJqkqZKOA5qAjUPcJzOzV5SqGDKKiHZJHwW+DYwAboiInSWurschpWGkFvJwDtWjFvJwDgOsKg4qm5nZ0KuWISMzMxtiLghmZgbUWEEYLpe/kDRZ0n2SdkvaKenyFD9Z0j2SHk7343NtVqS89kg6d+h6/5skjZD0A0nfSI+HYw7jJN0u6Sfpb/KO4ZaHpL9Or6WHJN0q6dXVnoOkGyQdlvRQLtbvPkuaJWlHmneNpKLT2Ac7j39Mr6cfS/qapHHVngcAEVETN7KD0T8DXg8cB/wImD7U/eqmrxOBM9P0icBPyS7Z8RlgeYovBz6dpqenfEYBU1OeI4Y6j9S3jwP/CnwjPR6OOawF/ixNHweMG055AJOAvcDo9HgDcEm15wC8BzgTeCgX63efgW3AO8i+z7QJeF8V5PFeYGSa/vRwyCMiamoP4deXv4iIF4COy19UnYg4GBHfT9NHgd1k/9Tzyd6cSPcL0vR8YH1EHIuIvUALWb5DSlI9cB7wlVx4uOUwluwfeg1ARLwQEc8wzPIgO2NwtKSRwPFk3+Op6hwi4n7gqU7hfvVZ0kRgbERsiexddV2uzaAoyiMi7o6I9vTwAbLvVkEV5wG1NWQ0Cdife9yaYlVN0hTgrcBWoC4iDkJWNIBT02LVmtsXgCuAX+Viwy2H1wOPA/+Shr6+IukEhlEeEfEo8FngEeAgcCQi7mYY5ZDT3z5PStOd49XkT8k+8UOV51FLBaFPl7+oJpLGAP8G/FVE/KKnRQtiQ5qbpPOBwxHxYF+bFMSq4e8zkmx3//qIeCvwLNlQRXeqLo80zj6fbAjiNOAESRf31KQgVg1/i5501+eqzkXSVUA7cEtHqGCxqsmjlgrCsLr8haRXkRWDWyLijhQ+lHYdSfeHU7wac3sXcIGkfWTDc78v6WaGVw6Q9as1Iramx7eTFYjhlMc5wN6IeDwiXgTuAN7J8MqhQ3/73MrLwzH5+JCTtBg4H1iYhoGgyvOopYIwbC5/kc4eWAPsjojP5WZtBBan6cXAnbl4k6RRkqYC08gOQA2ZiFgREfURMYXsub43Ii5mGOUAEBGPAfslnZ5Cc8kuuz6c8ngEmC3p+PTamkt2XGo45dChX31Ow0pHJc1OuS/KtRkykuYBVwIXRMQvc7OqO4/BPoo9kDfg/WRn7PwMuGqo+9NDP99Ntjv4Y+CH6fZ+4BRgM/Bwuj851+aqlNcehuDsg17yaeTls4yGXQ7AW4Dt6e/xdWD8cMsD+BTwE+Ah4Cays1iqOgfgVrJjHi+SfUJeUkqfgYaU98+Aa0lXYBjiPFrIjhV0/H9/udrziAhfusLMzDK1NGRkZmZlcEEwMzPABcHMzBIXBDMzA1wQzMwscUEwMzPABcHMzJL/D16tfwlvoUyHAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "# your code here" + "# your code here\n", + "v.hist(column='CO2 Emission Grams/Mile');\n" ] }, { @@ -190,11 +337,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 26, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "# your code here" + "# your code here\n", + "v.hist(column='Combined MPG');\n" ] }, { @@ -206,11 +367,12 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 50, "metadata": {}, "outputs": [], "source": [ - "# your answer here" + "# your answer here\n", + "#Fuel Barrels/Year por su forma de campana de gauss y por su simetría con respecto a la media, combined MPG parece una distribución normal pero la media esta en 20 y debería estar en 30 aprox" ] }, { @@ -237,11 +399,29 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 32, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "# your code here" + "# your code here\n", + "from scipy.stats import expon\n", + "e=expon(scale=10)\n", + "m2=e.rvs(size=100)\n", + "sns.histplot(m2);\n", + "#no entiendo bien la seguda pregunta" ] }, { @@ -253,11 +433,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 30, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "# your answer here" + "# your answer here\n", + "\n" ] }, { @@ -273,12 +467,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 45, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "# your answer here\n", - "# Hint: This is same as saying P(x<15)" + "# Hint: This is same as saying P(x<15)\n", + "e3=expon(scale=10)\n", + "m3=e3.rvs(size=10000)\n", + "\n", + "m3[:10]\n", + "sns.histplot(m);\n" ] }, { @@ -290,11 +502,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 46, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "0.7768698398515702" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your answer here" + "# your answer here\n", + "e3.cdf(15)\n" ] }, { @@ -321,7 +545,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.3" + "version": "3.8.5" } }, "nbformat": 4,