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).

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.

For example, AMA style uses "P value", APA style uses "p value", and the American Statistical Association uses "p-value". In all cases, the "p" stands for probability.[1]

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-value, providing a clear …

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, and significance. It …

Apr 18, 2017 · P values indicate whether hypothesis tests are statistically significant but they are frequently misinterpreted. Learn how to correctly interpret P values.

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 likelihood of …

Oct 2, 2025 · What Is P-Value? 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.

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, the p value is …

Jul 8, 2020 · P value is a fundamental concept in inferential statistics which is used to draw conclusions based on the results of statistical tests. In a nutshell, p value is a measure of extremeness or …