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《统计学原理实验教程（Python）》书中代码实现

简介

《统计学原理实验教程（Python）》是厦门大学出版社在2019年出版的图书，主要通过python来实现统计学中最基本的检验方法。个人觉得本书内容较为基础，适合初学者进行学习。结构体系化，由浅入深。是一本很好的入门教科书。

个人认为本书适合，具有基本的统计学知识且以python作为数据分析工具的人进行入门，了解如何通过python实现统计学中最基本的一些方法。

这本书比较薄，其中，回归分析和时间序列分析的篇幅较小，介绍较浅，这部分可以自行深入了解。

感谢本书的编著者！

注意

有些数据内容我可能会有所改动，但不影响什么。

尽可能加上注释，力求清晰易读，增强代码可复用性。

个人建议在阅读之前可以复习下相关基础概念，便于更好地理解。

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SharkFin-top / Statistics_python_codes

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《统计学原理实验教程（Python）》书中代码实现

简介

注意

目录

第二章描述性统计分析

第三章概率计算与随机抽样

第四章参数估计与假设检验

第五章方差分析

第六章相关与回归分析

第七章时间序列分析

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

SharkFin-top / Statistics_python_codes

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《统计学原理实验教程（Python）》书中代码实现

简介

注意

目录

第二章 描述性统计分析

第三章 概率计算与随机抽样

第四章 参数估计与假设检验

第五章 方差分析

第六章 相关与回归分析

第七章 时间序列分析

第二章描述性统计分析

第三章概率计算与随机抽样

第四章参数估计与假设检验

第五章方差分析

第六章相关与回归分析

第七章时间序列分析