Final answer:
When a study is statistically significant but not practically significant, the observed effect or relationship may be very small and may not have any practical importance in real-world terms.
Step-by-step explanation:
When a study is statistically significant but not practically significant, it means that although there is strong evidence of an effect or relationship between variables, the effect size is so small that it may not have any practical importance or significance in real-world terms.
For example, let's say a study finds that a new medication reduces the duration of a cold by only 5 minutes on average. While this difference may be statistically significant, it is not practically significant because the effect is so small that it would not make a meaningful difference in the lives of individuals.
In such cases, researchers and practitioners should consider the practical implications and decide whether the observed effect is meaningful or relevant for their specific context or application.