{"id":249097,"date":"2024-05-09T07:59:03","date_gmt":"2024-05-09T07:59:03","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/?p=249097"},"modified":"2024-05-09T07:59:03","modified_gmt":"2024-05-09T07:59:03","slug":"what-does-p-value-below-0-05-mean","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/what-does-p-value-below-0-05-mean\/","title":{"rendered":"What does p-value below 0.05 mean?"},"content":{"rendered":"

What does p-value below 0.05 mean?<\/p>\n

The p-value is a statistical measure that helps researchers determine the significance of their findings. When the p-value is below 0.05, it suggests that the results are statistically significant, and the null hypothesis can be rejected. In simpler terms, it means that the observed effect is unlikely to occur by chance alone.<\/p>\n

So, what exactly does a p-value below 0.05 mean?<\/b><\/p>\n

When the p-value falls below the commonly accepted threshold of 0.05, it indicates that there is strong evidence to support the alternative hypothesis. In other words, the observed effect is highly unlikely to be due to random chance or sampling error. The lower the p-value, the more confident we can be in rejecting the null hypothesis and concluding that there is a real effect or relationship present in the data.<\/p>\n

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