{"id":237069,"date":"2024-06-17T11:16:46","date_gmt":"2024-06-17T11:16:46","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/?p=237069"},"modified":"2024-06-17T11:16:46","modified_gmt":"2024-06-17T11:16:46","slug":"how-to-calculate-p-value-from-s-stat","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/how-to-calculate-p-value-from-s-stat\/","title":{"rendered":"How to calculate p value from S-stat?"},"content":{"rendered":"

To calculate the p value from S-stat, you first need to determine the test statistic value (S-stat) from your data. Once you have the S-stat value, you can use it to find the corresponding p value. The p value is the probability of observing a test statistic at least as extreme as the one calculated, assuming the null hypothesis is true. <\/p>\n

Here is how you can calculate the p value from S-stat:<\/p>\n

1. **Determine the test statistic (S-stat) from your data.
\n2. Look up the critical value for your chosen significance level and degrees of freedom.
\n3. Compare your calculated test statistic with the critical value.
\n4. If your calculated test statistic is greater than the critical value, reject the null hypothesis.
\n5. Calculate the p value based on the test statistic and the null hypothesis distribution.**<\/p>\n

To further help you understand how to calculate the p value from S-stat, let’s address some related FAQs:<\/p>\n

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