All are true about P-value except:
**Core Concept**
The P-value is a statistical measure used to determine the significance of a research finding or hypothesis test. It represents the probability of observing the test results or more extreme, assuming that the null hypothesis is true. In medical research, P-values help researchers determine whether their findings are due to chance or if they reflect a real effect.
**Why the Correct Answer is Right**
A P-value of 0.05 or less is commonly used as a threshold to indicate statistical significance. This means that if the P-value is less than 0.05, the observed results are unlikely to occur by chance, suggesting that the null hypothesis is rejected in favor of the alternative hypothesis. In other words, the observed effect is statistically significant.
**Why Each Wrong Option is Incorrect**
**Option A:** Not provided.
**Option B:** Not provided.
**Option C:** Not provided.
**Option D:** Not provided.
**Clinical Pearl / High-Yield Fact**
When interpreting P-values, it's essential to remember that a P-value of 0.05 does not necessarily mean that the observed effect is clinically significant. A small P-value can be due to a large sample size or a small effect size, even if the effect is not clinically meaningful.
**Correct Answer:** D.