Fundamentals of p-values: Introduction
Yuri Gurevich, Vladimir Vovk

TL;DR
This paper introduces the fundamental concept of p-values in statistical hypothesis testing, focusing on their basic properties and the notion of p-functions within a simplified discrete framework.
Contribution
It provides an accessible explanation of p-values and introduces the concept of p-functions, laying groundwork for further exploration of the general case.
Findings
Clarifies the concept of p-values using basic probability theory
Introduces the notion of p-functions as a foundation for p-values
Restricts analysis to discrete cases without zero-probability outcomes
Abstract
We explain the concept of p-values presupposing only rudimentary probability theory. We also use the occasion to introduce the notion of p-function, so that p-values are values of a p-function. The explanation is restricted to the discrete case with no outcomes of zero probability. We are going to address the general case elsewhere.
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Taxonomy
TopicsRough Sets and Fuzzy Logic · Statistical and Computational Modeling · Advanced Statistical Methods and Models
