diff --git a/notebook_必备数学基础/假设检验章节/.ipynb_checkpoints/假设检验-checkpoint.ipynb b/notebook_必备数学基础/假设检验章节/.ipynb_checkpoints/假设检验-checkpoint.ipynb
new file mode 100644
index 0000000..39081bc
--- /dev/null
+++ b/notebook_必备数学基础/假设检验章节/.ipynb_checkpoints/假设检验-checkpoint.ipynb
@@ -0,0 +1,118 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 假设检验：\n",
+    "<ul>\n",
+    "    <li>什么是假设：对总体参数(均值,比例等)的具体数值所作的陈述。比如,我认为新的配方的药效要比原来的更好。\n",
+    "    <li>什么是假设检验:先难总体的参数提出某种假设,然后利用样本的信息判断假设是否成立的过程。比如,上面的假设我是要接受还是拒绝呢\n",
+    "</ul>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 假设校验的应用：\n",
+    "<ul>\n",
+    "    <li>推广新的教育方案后,教学效果是否有所\n",
+    "    <li>提高醉驾判定为刑事犯罪后是否会使得交通事故减少\n",
+    "    <li>男生和女生在选文理科时是否存在性别因素影响"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 假设校验的基本思想\n",
+    "<img src=\"assets/20201114091803.png\" width=\"70%\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "如上图，我们假设总体均值是50，结果计算得到的是20，所以假设μ=50不正确"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 显著性水平\n",
+    "<ul>\n",
+    "<li>一个概率值，原假设为真时，拒绝原假设的概率，\n",
+    "表示为 alpha常用取值为0.01,0.05,0.10。\n",
+    "<li>一个公司要来招聘了，实际有200个人准备混一混，\n",
+    "但是公司希望只有5%的人是浑水摸鱼进来的，\n",
+    "所以可能会有200*0.05=4个人混进来，\n",
+    "所谓显著性水a，就是你允许最多有多大比例混水摸鱼的通过你的测试。\n",
+    "<li>如上，真实为1，alpha值为0.05的时候，即1-0.05=0.95，也就是得有0.95的可能性才能判定为真，也就是alpha值越小，要求越严格"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 假设检验的步骤\n",
+    "<ul>\n",
+    "    <li>提出假设\n",
+    "    <li>确定适当的检验统计量。如方差验证、卡方验证等\n",
+    "    <li>规定显著性水平\n",
+    "    <li>计算检验统计量的值\n",
+    "    <li>做出统计决策"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 原假设与备择建设\n",
+    "<ul>\n",
+    "    <li>待检验的假设又叫原假设，也可以叫零假设，表示为HO。(零假设其实就是表示原假设一般都是说没有差异,没有改变。。。)\n",
+    "    <li>与原假设对比的假设叫做备择假设，表示为H1\n",
+    "    <li>一般在比较的时候，主要有等于，大于，小于"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 检验统计量计算检验的统计量\n",
+    "<ul>\n",
+    "    <li>计算检验的统计量\n",
+    "    <li>根据给定的显著性水平，查表得出相应的临界值"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebook_必备数学基础/假设检验章节/assets/20201114091803.png b/notebook_必备数学基础/假设检验章节/assets/20201114091803.png
new file mode 100644
index 0000000..a7f60a2
Binary files /dev/null and b/notebook_必备数学基础/假设检验章节/assets/20201114091803.png differ
diff --git a/notebook_必备数学基础/假设检验章节/假设检验.ipynb b/notebook_必备数学基础/假设检验章节/假设检验.ipynb
new file mode 100644
index 0000000..39081bc
--- /dev/null
+++ b/notebook_必备数学基础/假设检验章节/假设检验.ipynb
@@ -0,0 +1,118 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 假设检验：\n",
+    "<ul>\n",
+    "    <li>什么是假设：对总体参数(均值,比例等)的具体数值所作的陈述。比如,我认为新的配方的药效要比原来的更好。\n",
+    "    <li>什么是假设检验:先难总体的参数提出某种假设,然后利用样本的信息判断假设是否成立的过程。比如,上面的假设我是要接受还是拒绝呢\n",
+    "</ul>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 假设校验的应用：\n",
+    "<ul>\n",
+    "    <li>推广新的教育方案后,教学效果是否有所\n",
+    "    <li>提高醉驾判定为刑事犯罪后是否会使得交通事故减少\n",
+    "    <li>男生和女生在选文理科时是否存在性别因素影响"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 假设校验的基本思想\n",
+    "<img src=\"assets/20201114091803.png\" width=\"70%\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "如上图，我们假设总体均值是50，结果计算得到的是20，所以假设μ=50不正确"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 显著性水平\n",
+    "<ul>\n",
+    "<li>一个概率值，原假设为真时，拒绝原假设的概率，\n",
+    "表示为 alpha常用取值为0.01,0.05,0.10。\n",
+    "<li>一个公司要来招聘了，实际有200个人准备混一混，\n",
+    "但是公司希望只有5%的人是浑水摸鱼进来的，\n",
+    "所以可能会有200*0.05=4个人混进来，\n",
+    "所谓显著性水a，就是你允许最多有多大比例混水摸鱼的通过你的测试。\n",
+    "<li>如上，真实为1，alpha值为0.05的时候，即1-0.05=0.95，也就是得有0.95的可能性才能判定为真，也就是alpha值越小，要求越严格"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 假设检验的步骤\n",
+    "<ul>\n",
+    "    <li>提出假设\n",
+    "    <li>确定适当的检验统计量。如方差验证、卡方验证等\n",
+    "    <li>规定显著性水平\n",
+    "    <li>计算检验统计量的值\n",
+    "    <li>做出统计决策"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 原假设与备择建设\n",
+    "<ul>\n",
+    "    <li>待检验的假设又叫原假设，也可以叫零假设，表示为HO。(零假设其实就是表示原假设一般都是说没有差异,没有改变。。。)\n",
+    "    <li>与原假设对比的假设叫做备择假设，表示为H1\n",
+    "    <li>一般在比较的时候，主要有等于，大于，小于"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 检验统计量计算检验的统计量\n",
+    "<ul>\n",
+    "    <li>计算检验的统计量\n",
+    "    <li>根据给定的显著性水平，查表得出相应的临界值"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/必备数学基础.md b/必备数学基础.md
index eba3aa1..128ffd7 100644
--- a/必备数学基础.md
+++ b/必备数学基础.md
@@ -1185,4 +1185,13 @@ https://scikit-learn.org/stable/auto_examples/
 
 具体的案例
 
-![1605191691043](assets/1605191691043.png)
\ No newline at end of file
+![1605191691043](assets/1605191691043.png)
+
+
+
+### 假设检验
+
+请跳转至notebook
+
+**假设检验的基本思想**
+