{"id":218385,"date":"2024-11-21T07:31:57","date_gmt":"2024-11-21T07:31:57","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/when-p-value-is-more-than-0-05\/"},"modified":"2024-11-21T07:31:57","modified_gmt":"2024-11-21T07:31:57","slug":"when-p-value-is-more-than-0-05","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/when-p-value-is-more-than-0-05\/","title":{"rendered":"When p-value is more than 0.05."},"content":{"rendered":"

When p-value is more than 0.05<\/p>\n

When analyzing data in scientific research, the p-value plays a crucial role in determining the statistical significance of results. A p-value below 0.05 is commonly used as a threshold for determining whether the results are statistically significant. But what happens when the p-value is more than 0.05?<\/p>\n

**When the p-value is more than 0.05, it means that the observed data is not statistically significant at the 5% level.**<\/p>\n

To better understand the implications of a p-value above 0.05, let’s delve deeper into what p-value signifies and how it affects statistical hypothesis testing.<\/p>\n

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