{"id":229008,"date":"2024-04-10T13:41:47","date_gmt":"2024-04-10T13:41:47","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/?p=229008"},"modified":"2024-04-10T13:41:47","modified_gmt":"2024-04-10T13:41:47","slug":"what-happens-if-the-p-value-is-more-than-0-05","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/what-happens-if-the-p-value-is-more-than-0-05\/","title":{"rendered":"What happens if the p-value is more than 0.05?"},"content":{"rendered":"

Title: What Happens If the P-value is More Than 0.05?<\/p>\n

Introduction:
\nIn statistical hypothesis testing, the p-value represents the probability of obtaining results as extreme as the observed data, assuming the null hypothesis is true. It plays a crucial role in determining the statistical significance of a hypothesis. When conducting statistical analyses, it is common to use the threshold of 0.05 as the cutoff point to determine whether the results are statistically significant. However, what happens if the p-value exceeds this threshold? Let’s explore this question and its implications.<\/p>\n

**What happens if the p-value is more than 0.05?**
\nIf the p-value is greater than 0.05, it means that the observed data is not statistically significant enough to reject the null hypothesis at the 0.05 significance level. In other words, the results do not provide strong evidence against the null hypothesis. Therefore, we fail to reject the null hypothesis and typically conclude that there is insufficient evidence to suggest a meaningful relationship or effect.<\/p>\n

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