Anova_chi_sq_test.ipynb

{
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  "metadata": {
    "colab": {
      "name": "Anova_chi_sq_test.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyMDYFlAEw1mVtg+zge9o1L5",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/VardaanThapa/Data_Science_code/blob/main/Anova_chi_sq_test.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AvBXMx5JGWK8"
      },
      "source": [
        "import pandas as pd\r\n",
        "from sklearn import datasets\r\n",
        "iris = datasets.load_iris()\r\n",
        "iris\r\n",
        "df = pd.DataFrame(iris.data)\r\n",
        "df"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "a3z6ib3ZH-VY",
        "outputId": "a507bb3b-fea2-4088-f6b0-be2a54ad2d02"
      },
      "source": [
        "import scipy.stats as stats\r\n",
        "stats.f_oneway(df.iloc[:,0], df.iloc[:,1],df.iloc[:,2],df.iloc[:,3])\r\n"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "F_onewayResult(statistic=482.91531656927964, pvalue=4.660592480454751e-159)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Mky8kyXgIALM"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}