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Theoretical Study on the Hypothesis Testing P Value

机译:假设检测P值的理论研究

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摘要

Starting from the background of hypothesis testing, this paper first introduces the status of classical statistics in mathematical statistics, so that people can clearly understand the principle of hypothesis testing. Secondly, the paper analyzes the P value of the understanding of the true meaning and how to correct the P value, takes some examples to make people know the traditional hypothesis test and P value, and analyzes the difference between a uniform distribution and geometric distribution parameter hypothesis test when the P value calculation formula.
机译:从假设检测的背景开始,本文首先介绍了数学统计数据的古典统计数据,使人们可以清楚地了解假设检测的原则。其次,本文分析了对真正含义和如何纠正P值的理解的p值,采用一些示例让人们知道传统的假设测试和p值,并分析均匀分布和几何分布参数之间的差异P值计算公式何时检测。

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