Sep 4, 2025 · In this article, we'll explore what p-values really mean, what they do not mean, and how to interpret them correctly.

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).

Jan 28, 2026 · In simple terms it answers the question “If nothing unusual is happening, how surprising are these results?” A small p-value means the observed results are unlikely to occur by chance alone …

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 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.

Aug 10, 2022 · When you perform a hypothesis test in statistics, a p -value helps you determine the significance of your results. Hypothesis tests are used to test the validity of a claim that is made …

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

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 …