{"id":262683,"date":"2024-05-07T06:43:28","date_gmt":"2024-05-07T06:43:28","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/?p=262683"},"modified":"2024-05-07T06:43:28","modified_gmt":"2024-05-07T06:43:28","slug":"what-does-a-p-value-of-0-004-mean","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/what-does-a-p-value-of-0-004-mean\/","title":{"rendered":"What does a p-value of 0.004 mean?"},"content":{"rendered":"

A p-value of 0.004 is a statistical measure that provides insight into the strength of evidence against the null hypothesis in a hypothesis test. It indicates that there is a very low probability (0.4%) of obtaining the observed results, or results more extreme, assuming the null hypothesis is true.<\/p>\n

When conducting a hypothesis test, researchers typically set a significance level, denoted as alpha (\u03b1), which is the threshold used to determine whether the results are statistically significant. The most common significance level is 0.05 (or 5%). If the p-value associated with a test statistic is less than or equal to the significance level, the results are deemed statistically significant, and the null hypothesis is rejected. Conversely, if the p-value is higher than the significance level, the results are not considered statistically significant, and researchers fail to reject the null hypothesis.<\/p>\n

**In the case of a p-value of 0.004, it means that there is a 0.4% chance of observing the obtained results, or results more extreme, assuming the null hypothesis is true. Since this p-value is less than the commonly used significance level of 0.05, it suggests strong evidence against the null hypothesis. Therefore, the results are considered statistically significant, and the null hypothesis can be rejected.**<\/p>\n

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