探究区间估计与假设检验的关系

Explore the Relationship Between Interval Estimation and Hypothesis Testing

随着大数据时代的到来,有效的统计方法突显出更重要的作用.统计推断在统计学中扮演着重要角色,分为参数估计和假设检验.文章探究了区间估计和假设检验之间的区别和联系.通过研究和探索,不论是面对经济应用,还是理论知识的迁移,都能让人们更好地了解和熟悉这两种统计方法,并且可以更深层次的知道区间估计和假设检验的联系,这两种看似无关的统计方法,其实存在很密切的关系.

With the advent of the era of big data,effective statistical methods play a more important role.Statistical inference plays an important role in statistics,which is divided into parameter estimation and hypothesis testing.This paper explores the differences and connections between interval estimation and hypothesis testing.Through research and exploration,both in the face of economic application and the transfer of theoretical knowledge,people can have a good understanding and familiarity with these two statistical methods,and they can have a deeper understanding of the relationship between interval estimation and hypothesis testing.These two seemingly unrelated statistical methods are actually closely related.