In reality, a low p value only suggests that the observed data is unlikely under the null hypothesis, which could be due to a true effect or random chance. However, this number alone lacks context.
Understanding P Value in Clinical Trial Results
For a two-tailed test, this involves finding the area in both tails of the distribution. However, relying solely on software output without understanding this underlying mechanism can lead to misinterpretation.
Emphasizing the binary concepts of "significant" and "not significant" overlooks the continuous nature of the evidence. Furthermore, the threshold for significance, often set at 0.
Understanding P Value in Clinical Trial Results
051 is not fundamentally different from 0. Instead, it quantifies the compatibility of your observed data with the null hypothesis.
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