A study with a significant p-value indicates:

A significant p-value indicates that the results of a study are statistically significant, meaning that the observed effects in the data are unlikely to have occurred by random chance alone. This p-value serves as a threshold for determining whether to reject the null hypothesis, which posits that there is no effect or no difference between groups. When researchers find a significant p-value (commonly set at 0.05), it provides evidence that the observed results are likely due to real effects rather than random variation.

The significance level helps researchers understand the reliability of their findings. A p-value less than the predetermined threshold suggests that the evidence against the null hypothesis is strong enough to support the conclusion that there is a meaningful relationship or effect present. Thus, a significant p-value plays a crucial role in validating the findings of a study and guiding decisions for further research or practical applications.