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数据分析:假设检验

Data analysis: hypothesis testing
课程网址: https://www.open.edu/openlearn/science-maths-technology/data-anal...  
主讲教师: 信息不详。欢迎您在右侧留言补充。
开课单位: 信息不详。欢迎您在右侧留言补充。
开课时间: 2024-01-02
课程语种: 英语
中文简介:
根据数据做出关于世界的决策需要一个弥合非结构化数据和决策之间差距的过程。统计假设检验通过形成对世界(包括人、组织或其他物体)的信念,并对这些信念进行正式检验,从而帮助决策。在这个免费的课程中,你将学习假设检验的原理,包括显著性水平的规范,以及单侧和双侧检验。最后,您将学习如何对变量的均值进行假设检验,以及具有特定特征的数据集中个体的比例。
课程简介: Making decisions about the world based on data requires a process that bridges the gap between unstructured data and the decision. Statistical hypothesis testing helps decision-making by formulating beliefs about the world, including people, organisations or other objects, and formally testing these beliefs. In this free course, you will study the principles of hypothesis testing, including the specification of significance levels, as well as one-sided and two-sided tests. Finally, you will learn how to perform a hypothesis test of the mean of a variable, as well as the proportion of individuals in a dataset with a certain characteristic.  
关 键 词: 假设检验; 单侧检验; 双侧检验
课程来源: 英国开放大学
数据采集: 2024-10-19:zsp
最后编审: 2024-10-19:zsp
阅读次数: 36