{"id":224170,"date":"2024-12-16T07:08:55","date_gmt":"2024-12-16T07:08:55","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/what-does-it-mean-when-your-p-value-is-0\/"},"modified":"2024-12-16T07:08:55","modified_gmt":"2024-12-16T07:08:55","slug":"what-does-it-mean-when-your-p-value-is-0","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/what-does-it-mean-when-your-p-value-is-0\/","title":{"rendered":"What does it mean when your p-value is 0?"},"content":{"rendered":"

When conducting statistical analysis, researchers often calculate a p-value to determine the level of statistical significance of their findings. The p-value is a measure of the probability of observing a result as extreme as, or more extreme than, the one obtained if the null hypothesis were true. In simpler terms, it indicates the likelihood of obtaining the observed results purely by chance.<\/p>\n

Typically, a p-value threshold of 0.05 (5%) is used to determine statistical significance. If the p-value is less than 0.05, it suggests that the result is statistically significant, meaning the observed effect is unlikely to be due to random chance alone. However, when the p-value is exactly 0, it has a specific interpretation that calls for careful understanding and interpretation.<\/p>\n

\n
\n

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