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 …

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 …

In null-hypothesis significance testing, the p-value[note 1] is the probability of obtaining test results at least as extreme as the result actually observed, under the assumption that the null …

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.

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.

Oct 2, 2025 · P-value is the level of marginal significance within a statistical hypothesis test, representing the probability of the occurrence of a given event.

Mar 12, 2025 · But what exactly is a p-value? How should it be interpreted? And should researchers use 0.05 or 0.01 as their threshold for significance? This article explores the …

Sep 22, 2025 · Our significance level corresponds to the area in the tail that is exactly equal to α. If we use our normal criterion of α =.05, then 5% of the area under the curve becomes what …

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. …

This article concisely explains P values, power, and medical significance in nontechnical terms for our medical colleagues and their implications for assessing the credibility of medical research.