If the null hypothesis is rejected, it implies that the observed effect or relationship is statistically significant and not due to random chance. This can lead to changes in clinical practice, such as adopting new treatments or interventions. However, it is important to consider other factors such as sample size, study design, and external validity before making any clinical decisions.
