{"id":262030,"date":"2024-07-18T00:47:48","date_gmt":"2024-07-18T00:47:48","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/?p=262030"},"modified":"2024-07-18T00:47:48","modified_gmt":"2024-07-18T00:47:48","slug":"how-to-find-p-value-when-not-equal-to","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/how-to-find-p-value-when-not-equal-to\/","title":{"rendered":"How to find p value when not equal to?"},"content":{"rendered":"

When conducting statistical hypothesis tests, we often compare a sample statistic to a population parameter. The key question we want to answer is: Is the difference between the sample statistic and the population parameter statistically significant or simply due to random chance?<\/p>\n

To address this question, we use p-values. The p-value is a measure of the evidence against the null hypothesis (the assumption that there is no significant difference) based on the observed data. It helps us determine the likelihood of obtaining the observed sample data, or more extreme, if the null hypothesis were true.<\/p>\n

So, how do we find the p-value when it is not equal to a specific value? Let’s walk through the steps:<\/p>\n

\n
\n

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