Final answer:
In scientific investigations, simulations often involve modeling, data analysis, and visualization but do not always require experimentation, as simulations can also be computational without physical experiments.
Step-by-step explanation:
In the context of scientific investigations, performing a simulation typically involves modeling, data analysis, and visualization to replicate and understand the behavior of a system. Experimentation can be a part of simulations, especially when models are tested to see how well they predict real-world outcomes. However, simulations can also be purely computational and not involve physical experimentation. Therefore, while closely related, experimentation is not strictly necessary for a simulation, and is the answer least connected to the core concept of simulation relative to the other options provided.
Scientific models simplify complex real-world systems to make them easier to study. A simulation model would use numerical techniques to solve problems and visualize complex interactions, supporting discoveries without always requiring a controlled experiment. This pragmatic approach allows scientists to explore a broader range of scenarios and outcomes than might be feasible with direct experimentation alone.