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.

Using the known distribution of the test statistic, calculate the P-value: "If the null hypothesis is true, what is the probability that we'd observe a more extreme test statistic in the direction of …

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, …

Aug 11, 2025 · Definition: A p-value measures how likely your observed results (or more extreme ones) would be if the null hypothesis were true. It is a tool for assessing evidence against the …

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.

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 …

1 day ago · A comprehensive guide to hypothesis testing in statistics, covering p-values, null and alternative hypotheses, z-tests for known variance and proportions, t-tests (one-sample, two …

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 …

Jul 27, 2025 · The p-value, or probability value, is a statistical measure used in hypothesis testing to assess the strength of evidence against a null hypothesis. It represents the probability of …

Sep 2, 2025 · When people examine data, they want to know if the results are due to a real effect or just chance. This is where p-values come in. A p-value is a number that helps us judge how …