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    "## 第 1 章 事件的概率\n",
    "\n",
    "### 1.1 概率是什么\n",
    "\n",
    "### 1.2 古典概率计算\n",
    "\n",
    "### 1.3 事件的运算、条件概率与独立性\n",
    "\n",
    "## 第 2 章 随机变量及概率分布\n",
    "\n",
    "### 2.1 一维随机变量\n",
    "\n",
    "### 2.2 多维随机变量（随机向量）\n",
    "\n",
    "### 2.3 条件概率分布与随机变量的独立性\n",
    "\n",
    "### 2.4 随机变量的函数的概率分布\n",
    "\n",
    "## 第 3 章 随机变量的数字特征\n",
    "\n",
    "### 3.1 数学期望（均值）与中位数\n",
    "\n",
    "### 3.2 方差与矩\n",
    "\n",
    "### 3.3 协方差与相关系数\n",
    "\n",
    "### 3.4 大数定理和中心极限定理\n",
    "\n",
    "## 第 4 章 参数估计\n",
    "\n",
    "### 4.1 数理统计学的基本概念\n",
    "\n",
    "### 4.2 矩估计、极大似然估计和贝叶斯估计\n",
    "\n",
    "### 4.3 点估计的优良性准则\n",
    "\n",
    "### 4.4 区间估计\n",
    "\n",
    "## 第 5 章 假设检验\n",
    "\n",
    "### 5.1 问题提法和基本概念\n",
    "\n",
    "### 5.2 重要参数检验\n",
    "\n",
    "### 5.3 拟合优度检验\n",
    "\n",
    "## 第 6 章 回归、相关与方差分析\n",
    "\n",
    "### 6.1 回归分析的基本概念\n",
    "\n",
    "### 6.2 一元线性回归\n",
    "\n",
    "### 6.3 多元线性回归\n",
    "\n",
    "### 6.4 相关分析\n",
    "\n",
    "### 6.5 方差分析"
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