转自:https://woaielf.github.io/
转载主要用于自己学习参考,只搬运了思维导图。
原作者信息,详见最后一节。
统计-导图概览
![](https://img2018.cnblogs.com/common/1244144/202001/1244144-20200109164924263-1164278133.png)
一、描述性统计:表格和图形法
![](https://img2018.cnblogs.com/common/1244144/202001/1244144-20200109165009185-1079999080.png)
二、描述性统计:数值方法
![](https://img2018.cnblogs.com/common/1244144/202001/1244144-20200109165033181-874406560.png)
三、概率
![](https://img2018.cnblogs.com/common/1244144/202001/1244144-20200109165042317-653257043.png)
四、概率分布
![](https://img2018.cnblogs.com/common/1244144/202001/1244144-20200109165052729-1443741155.png)
五、抽样分布
![](https://img2018.cnblogs.com/common/1244144/202001/1244144-20200109165104871-2054017590.png)
六、区间估计
![](https://img2018.cnblogs.com/common/1244144/202001/1244144-20200109165115236-940324263.png)
七、假设检验
![](https://img2018.cnblogs.com/common/1244144/202001/1244144-20200109165127541-1535175835.png)
八、两总体均值 & 比例的推断
![](https://img2018.cnblogs.com/common/1244144/202001/1244144-20200109165208135-253993689.png)
九、总体方差的统计推断
![](https://img2018.cnblogs.com/common/1244144/202001/1244144-20200109165235833-116628322.png)
十、多个比率的比较 独立性 拟合优度检验
![](https://img2018.cnblogs.com/common/1244144/202001/1244144-20200109165313708-749842763.png)
十一、实验设计 方差分析
![](https://img2018.cnblogs.com/common/1244144/202001/1244144-20200109165335012-1957912415.png)
十二、简单线性回归
![](https://img2018.cnblogs.com/common/1244144/202001/1244144-20200109165437542-2018323041.png)
十三、残差分析
![](https://img2018.cnblogs.com/common/1244144/202001/1244144-20200109165458471-756612557.png)
十四、多元回归
![](https://img2018.cnblogs.com/common/1244144/202001/1244144-20200109165511395-396729259.png)
十五、回归分析
![](https://img2018.cnblogs.com/common/1244144/202001/1244144-20200109165525437-882856531.png)
十六、时间序列分析及预测
![](https://img2018.cnblogs.com/common/1244144/202001/1244144-20200109165544349-1576926296.png)
十七、非参数方法
![](https://img2018.cnblogs.com/common/1244144/202001/1244144-20200109165559621-2099945496.png)
原作者相关信息
![](https://img2018.cnblogs.com/i-beta/1244144/202001/1244144-20200109163356496-853690371.png)