{"id":216220,"date":"2023-10-26T02:08:48","date_gmt":"2023-10-26T02:08:48","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/what-p-value-accepts-the-null-hypothesis\/"},"modified":"2023-10-26T02:08:48","modified_gmt":"2023-10-26T02:08:48","slug":"what-p-value-accepts-the-null-hypothesis","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/what-p-value-accepts-the-null-hypothesis\/","title":{"rendered":"What P value accepts the null hypothesis?"},"content":{"rendered":"

When conducting a statistical hypothesis test, the concept of the p-value plays a crucial role in determining whether or not to accept the null hypothesis. The p-value represents the probability of obtaining results as extreme as, or even more extreme than, the observed data, assuming the null hypothesis is true. But what p-value value is accepted to maintain the null hypothesis? Let’s explore that in detail.<\/p>\n

\n
\n

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