假设检验的思想

假设检验的基本原理

假设：针对总体的分布或相关参数的论断 检验：从总体中随机抽取一些样本，用于对“假设”进行分析判断

假设检验/显著性检验： 根据样本信息检验关于总体的某个假设是否正确的决策过程

• 参数检验
• 非参数检验 假设检验的结果：是对假设作出接收或拒绝的判断 假设检验的思想：一个小概率事件，在一次试验中几乎是不可能发生的

对“差异”作出定量分析 导致差异的原因：

• 抽样误差：由抽样的随机性引起的
• 系统误差：由于本质的问题所产生的

假设检验的相关概念

原假设与备择假设

$H_0$ 原假设/零假设 $\leftrightarrow$ $H_1$ 备择假设/对立假设 一般在实际工作中，常常把不易否定的命题作为原假设

• 原假设 $H_0$ 一般表示长时间存在的客观实在，备择假设反映变化以后的状态
• 一般选择后果较为严重的作为小概率事件

假设检验的问题描述： 在给定的显著性水平 $\alpha$ 下，检验假设 $H_0\leftrightarrow H_1$

拒绝域和临界点

拒绝域：检验统计量取某个区域中的值，拒绝原假设 临界点：拒绝域的边界点

两类错误

弃真错误： 第一类错误 原假设为真，观测值却落入拒绝域中，拒绝了原假设

取伪错误：第二类错误 原假设不为真，观测值却落入接受域中，接受了原假设

显著性检验与显著性水平

显著性检验：控制犯第一类错误的概率的假设检验

P(\text{犯第一类错误})=P\left\{\text{拒绝}H_{0} \mid H_{0}为真 \right\}\leq \alpha \end{align}$$ **显著性水平**：$\alpha$ 为很小的一个正数，表示小概率事件的概率 #### 双边检验与单边检验 <svg xmlns="http://www.w3.org/2000/svg" version="1.1" viewBox="0 0 831.2728390094715 395.36965443769145" width="831.2728390094715" height="395.36965443769145"> <!-- svg-source:excalidraw --> <defs> <style class="style-fonts"> @font-face { font-family: "Virgil"; src: url("https://excalidraw.com/Virgil.woff2"); } @font-face { font-family: "Cascadia"; src: url("https://excalidraw.com/Cascadia.woff2"); } @font-face { font-family: "Assistant"; src: url("https://excalidraw.com/Assistant-Regular.woff2"); } </style> </defs> <rect x="0" y="0" width="831.2728390094715" height="395.36965443769145" fill="#ffffff"></rect><g stroke-linecap="round"><g transform="translate(20.03364945454176 39.28164474836285) rotate(0 116.97403751415314 -0.1610916591164937)"><path d="M1.15 -0.87 C39.89 -1.11, 194.59 -1.51, 233.22 -1.48 M0.3 1.29 C39.35 1.15, 196.39 -0.41, 235.56 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