{"id":216338,"date":"2025-03-09T01:09:54","date_gmt":"2025-03-09T01:09:54","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/what-does-it-mean-to-have-a-small-p-value\/"},"modified":"2025-03-09T01:09:54","modified_gmt":"2025-03-09T01:09:54","slug":"what-does-it-mean-to-have-a-small-p-value","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/what-does-it-mean-to-have-a-small-p-value\/","title":{"rendered":"What does it mean to have a small p-value?"},"content":{"rendered":"

**What does it mean to have a small p-value?**<\/p>\n

Understanding statistical significance is essential in various fields, from scientific research to business decision-making. The concept of a p-value plays a crucial role in this understanding. A p-value represents the probability of obtaining a test statistic as extreme as, or more extreme than, the observed data assuming the null hypothesis is true. In simple terms, it measures the strength of evidence against the null hypothesis.<\/p>\n

A p-value ranges from 0 to 1. When the p-value is small, typically below a predetermined significance level (often 0.05 or 0.01), it suggests strong evidence against the null hypothesis. This leads to the rejection of the null hypothesis in favor of an alternative hypothesis.<\/p>\n

Statistical significance, as indicated by a small p-value, does not necessarily imply practical significance or the importance of the finding. It solely measures the strength of evidence against the null hypothesis based on the observed data.<\/p>\n

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