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  1. p-values Explained in Plain English (with Visuals) - Statology

    Sep 2, 2025 · In this article, we'll explore what p-values really mean, what they do not mean, and how to interpret them correctly.

  2. Understanding P-Values and Statistical Significance

    Aug 11, 2025 · A p-value, or probability value, is a number describing how likely it is that your data would have occurred by random chance (i.e., that the null hypothesis is true).

  3. P-Value: Comprehensive Guide to Understand, Apply, and Interpret

    Jul 27, 2025 · A p-value is a statistical metric used to assess a hypothesis by comparing it with observed data. This article delves into the concept of p-value, its calculation, interpretation, …

  4. P‑Value Explained: What It Is, How It Works & Why It Matters

    May 11, 2025 · But what exactly is a p-value, and why is it so important (and sometimes controversial) in the world of statistics? This comprehensive guide aims to demystify the p …

  5. Understanding P-values | Definition and Examples - Scribbr

    Jul 16, 2020 · What exactly is a p value? The p value, or probability value, tells you how likely it is that your data could have occurred under the null hypothesis. It does this by calculating the …

  6. P-Value: What It Is, How to Calculate It, and Examples

    Oct 2, 2025 · A p-value, or probability value, is a number describing the likelihood of obtaining the observed data under the null hypothesis of a statistical test. The p-value serves as an …

  7. Interpreting P values - Statistics by Jim

    Apr 18, 2017 · What do P values really mean? That’s the topic of this post! P values are a slippery concept. Don’t worry. I’ll explain p-values using an intuitive, concept-based approach so you …

  8. p-value: A Beginner’s Guide - DATAtab

    Oct 27, 2025 · When is the p-value used? The p-value is used to either reject or retain (not reject) the null hypothesis in a hypothesis test. If the calculated p-value is smaller than the …

  9. P-Value in Statistical Hypothesis Tests: What is it?

    When you run a hypothesis test, you compare the p value from your test to the alpha level you selected when you ran the test. Alpha levels can also be written as percentages. Graphically, …