Final answer:
A limitation to using models for studying systems in science is that they are often simplified and do not include all the details of the real system. Models are also not to scale, meaning that the actual sizes cannot be accurately studied. The cost and effort involved in creating a model depend on the complexity and purpose of the study.
Step-by-step explanation:
A limitation to using models for studying systems in science is that they are often simplified and do not include all the details of the real system. Models are representations of the real world but are simpler and easier to study. For example, a model of a car may give a good idea of what a real car looks like, but it may not include all the mechanical details.
Models also have limitations when it comes to scale. Most models are not to scale, meaning that the actual sizes of objects or components cannot be accurately studied using the model alone.
While creating a model may require some work, it is not always more work than studying the real system itself. Similarly, creating a model may not always be more expensive than studying the real system. The cost and effort involved in creating a model depend on the complexity and purpose of the study.