Assign3Q1.ipynb

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      "source": [
        "Assignment-03-Q1 (Hypothesis Testing)\n"
      ],
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      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "from scipy import stats"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# load the dataset\n",
        "data=pd.read_csv('https://github.com/rushikeshw791/hypothesis-testing-1/files/9691935/Cutlets.csv')\n",
        "data.head()"
      ],
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        "id": "o5cJzfmzg_lK"
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      "execution_count": null,
      "outputs": []
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    {
      "cell_type": "code",
      "source": [
        "unit_a=pd.Series(data.iloc[:,0])\n",
        "unit_a"
      ],
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        "id": "2zeX6vHwhdIG"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "unit_b=pd.Series(data.iloc[:,1])\n",
        "unit_b"
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        "id": "Vs8SeVfuiJAy"
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      "execution_count": null,
      "outputs": []
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      "cell_type": "code",
      "source": [
        "# 2-sample 2-tail ttest:   stats.ttest_ind(array1,array2)     # ind -> independent samples\n",
        "p_value=stats.ttest_ind(unit_a,unit_b)\n",
        "p_value"
      ],
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      "source": [
        "p_value[1]     # 2-tail probability "
      ],
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      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# compare p_value with α = 0.05 (At 5% significance level)"
      ],
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        "id": "Cuzkl4khilUI"
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      "execution_count": 9,
      "outputs": []
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