Aug 11, 2025 · If your p-value is less than or equal to 0.05 (the significance level), you would conclude that your result is statistically significant. This means the evidence is strong enough …

Usually only a single p -value relating to a hypothesis is observed, so the p -value is interpreted by a significance test, and no effort is made to estimate the distribution it was drawn from.

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 …

Jan 9, 2026 · This page explains the concept of a p-value, which indicates the probability of observing a sample statistic under the null hypothesis. It is used to assess statistical …

Jul 27, 2025 · In general, a small p-value indicates that the observed data is unlikely to have occurred by random chance alone, which leads to the rejection of the null hypothesis.

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.

Oct 2, 2025 · In a nutshell, the greater the difference between two observed values, the less likely it is that the difference is due to simple random chance, and this is reflected by a lower p …

Mar 12, 2025 · At the heart of this decision lies the p-value, a measure that helps researchers assess the strength of their results. But what exactly is a p-value? How should it be …

Mar 2, 2025 · Simply put, it's a measure of evidence against the null hypothesis. It quantifies the probability of observing data as extreme as your results, assuming the null hypothesis is true. …

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 …