If the P-value is less than 0.05, what does this imply about the experimental and control groups?

When the P-value is less than 0.05, it indicates that there is a statistically significant difference between the experimental and control groups. This means that the observed differences in outcomes are unlikely to have occurred by chance alone, leading researchers to reject the null hypothesis, which typically states that there is no effect or difference.

In the context of hypothesis testing, a P-value less than 0.05 provides evidence that the intervention or treatment being studied has a meaningful impact when comparing the two groups. This is often interpreted as strong evidence to support the alternative hypothesis, suggesting that there is a real effect present.

While other options present different statements about the significance of results, they do not capture the meaning of a P-value less than 0.05. Thus, the interpretation of this P-value being less than the threshold establishes the presence of a statistically significant difference, affirming the correctness of identifying that the groups are indeed significantly different.