{"id":254110,"date":"2024-04-12T21:59:17","date_gmt":"2024-04-12T21:59:17","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/?p=254110"},"modified":"2024-04-12T21:59:17","modified_gmt":"2024-04-12T21:59:17","slug":"what-is-low-p-value","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/what-is-low-p-value\/","title":{"rendered":"What is low p-value?"},"content":{"rendered":"

A p-value is a statistical measure used in hypothesis testing to determine the strength of evidence against the null hypothesis. It quantifies the probability of observing the data or more extreme results if the null hypothesis were true. In hypothesis testing, a low p-value indicates strong evidence against the null hypothesis, suggesting that the observed data is unlikely to occur by chance alone. Therefore, a low p-value is generally considered significant and often leads to the rejection of the null hypothesis.<\/p>\n

\n
\n

Table of Contents<\/p>\nToggle<\/span><\/path><\/svg><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n