Final answer:
The characteristics of the system in question are that it uses easily obtained data and is relatively unambiguous, which corresponds to option 2) It uses easily obtained data and the system is relatively unambiguous. This indicates a system where data acquisition is straightforward and interpretations are clear, as opposed to systems with high degrees of imperfect information.
Step-by-step explanation:
The characteristics of a system that uses easily obtained data and is relatively unambiguous are that it is straightforward to collect data, and the system itself is clear with minimal confusion. Option 2) It uses easily obtained data and the system is relatively unambiguous, aligns with these characteristics. In contrast, systems with high levels of imperfect information or those involving qualitative data can be more challenging to interpret and might include inherent ambiguities due to the subjective nature of the data.
For example, easily obtained data like seeing the quality of apples in a store represents low imperfect information, as the data is readily observable and unambiguous. In contrast, assessing whether a secondhand computer is in good working order may involve high imperfect information due to possible hidden issues or reasons for sale that are not immediately clear.
It is essential to identify the system of interest accurately and understand the type of data you are working with to answer scientific questions effectively. Formal incorporation of existing data can help reduce uncertainty and build upon past efforts in fields where data are difficult to obtain.