{"id":224335,"date":"2024-10-30T00:03:12","date_gmt":"2024-10-30T00:03:12","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/what-happens-when-the-p-value-is-equal-to-the-significance-value\/"},"modified":"2024-10-30T00:03:12","modified_gmt":"2024-10-30T00:03:12","slug":"what-happens-when-the-p-value-is-equal-to-the-significance-value","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/what-happens-when-the-p-value-is-equal-to-the-significance-value\/","title":{"rendered":"What happens when the p-value is equal to the significance value?"},"content":{"rendered":"

**What Happens When the P-value is Equal to the Significance Value?**<\/p>\n

When conducting hypothesis tests, researchers often calculate a p-value to assess the likelihood of obtaining the observed results by chance. The p-value represents the probability of observing a test statistic as extreme or more extreme than the one obtained, assuming the null hypothesis is true. One common practice in hypothesis testing is to compare the calculated p-value with a predetermined significance level (also known as alpha) to determine whether to reject or fail to reject the null hypothesis. But what happens when the p-value is equal to the significance value?<\/p>\n

**Answer:**
\nWhen the p-value is equal to the significance value, it means the observed results are exactly as likely to occur when the null hypothesis is true as they are under the alternative hypothesis. In this scenario, the decision to reject or fail to reject the null hypothesis is solely based on the predetermined significance level.<\/p>\n

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