Data-Science-For-Beginners/translations/hk/1-Introduction/04-stats-and-probability/assignment.ipynb

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    "## 概率與統計學簡介\n",
    "## 作業\n",
    "\n",
    "在這次作業中，我們將使用[這裡](https://www4.stat.ncsu.edu/~boos/var.select/diabetes.html)提供的糖尿病患者數據集。\n"
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   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "df = pd.read_csv(\"../../data/diabetes.tsv\",sep='\\t')\n",
    "df.head()"
   ],
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       "   AGE  SEX   BMI     BP   S1     S2    S3   S4      S5  S6    Y\n",
       "0   59    2  32.1  101.0  157   93.2  38.0  4.0  4.8598  87  151\n",
       "1   48    1  21.6   87.0  183  103.2  70.0  3.0  3.8918  69   75\n",
       "2   72    2  30.5   93.0  156   93.6  41.0  4.0  4.6728  85  141\n",
       "3   24    1  25.3   84.0  198  131.4  40.0  5.0  4.8903  89  206\n",
       "4   50    1  23.0  101.0  192  125.4  52.0  4.0  4.2905  80  135"
      ],
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       "      <th>AGE</th>\n",
       "      <th>SEX</th>\n",
       "      <th>BMI</th>\n",
       "      <th>BP</th>\n",
       "      <th>S1</th>\n",
       "      <th>S2</th>\n",
       "      <th>S3</th>\n",
       "      <th>S4</th>\n",
       "      <th>S5</th>\n",
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       "      <th>0</th>\n",
       "      <td>59</td>\n",
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       "      <td>32.1</td>\n",
       "      <td>101.0</td>\n",
       "      <td>157</td>\n",
       "      <td>93.2</td>\n",
       "      <td>38.0</td>\n",
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       "      <td>93.6</td>\n",
       "      <td>41.0</td>\n",
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       "      <td>198</td>\n",
       "      <td>131.4</td>\n",
       "      <td>40.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.8903</td>\n",
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       "      <td>23.0</td>\n",
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   "source": [
    "在此數據集中，列包含以下內容：\n",
    "* 年齡和性別不需額外解釋\n",
    "* BMI 是身體質量指數\n",
    "* BP 是平均血壓\n",
    "* S1 至 S6 是不同的血液測量值\n",
    "* Y 是疾病在一年內進展的定性指標\n",
    "\n",
    "讓我們使用概率和統計方法來研究這個數據集。\n",
    "\n",
    "### 任務 1：計算所有值的平均值和方差\n"
   ],
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  {
   "cell_type": "code",
   "execution_count": null,
   "source": [],
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   "cell_type": "markdown",
   "source": [
    "### 任務 2：根據性別繪製 BMI、BP 和 Y 的箱型圖\n"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "cell_type": "markdown",
   "source": [
    "### 任務 3：年齡、性別、BMI 和 Y 變數的分佈是什麼？\n"
   ],
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   "cell_type": "code",
   "execution_count": null,
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   "source": [
    "### 任務 4：測試不同變數與疾病進展（Y）之間的相關性\n",
    "\n",
    "> **提示** 相關性矩陣可以為你提供最有用的資訊，幫助判斷哪些值是相關的。\n"
   ],
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  {
   "cell_type": "markdown",
   "source": [],
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  {
   "cell_type": "markdown",
   "source": [
    "### 任務 5：檢驗糖尿病進展程度在男性和女性之間是否存在差異的假設\n"
   ],
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   "source": [
    "\n---\n\n**免責聲明**：  \n此文件已使用人工智能翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。我們致力於提供準確的翻譯，但請注意，自動翻譯可能包含錯誤或不準確之處。應以原始語言的文件作為權威來源。對於關鍵資訊，建議使用專業的人類翻譯。我們對因使用此翻譯而引起的任何誤解或誤釋不承擔責任。\n"
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