Problemas
Which of the following is a benefit of using a simulation instead of an experiment to make a prediction? Select two answers. A simulation allows investigation of a phenomenon without the real-world limitations on time, safety, or budget. A simulation can be used to model real-world events that are impractical for experiments. A simulation always produces the same output so its results can be verified. A simulation produces results that are more accurate than experimental results.
Roztwór
Esmeralda
professionell · Tutor durante 6 años
4
(232 Votos)
Respuesta
The correct answers are:A. A simulation allows investigation of a phenomenon without the real-world limitations on time, safety, or budget.B. A simulation can be used to model real-world events that are impractical for experiments.Explanation:Simulations have several advantages over experiments when it comes to making predictions. Firstly, they allow for the investigation of phenomena without the constraints of time, safety, or budget that may be present in real-world experiments. This means that simulations can be run multiple times, for extended periods, or with varying parameters without the limitations that might be encountered in a physical experiment.Secondly, simulations can be used to model real-world events that are impractical or impossible to replicate in an experimental setting. For example, simulating the behavior of complex systems, such as the climate or the human body, can provide valuable insights and predictions that would be difficult or impossible to obtain through direct experimentation.Option C is incorrect because simulations do not always produce the same output. The results of a simulation can vary depending on the initial conditions, parameters, and the specific algorithms used. Therefore, it is important to verify the results of a simulation by running multiple trials and comparing the outputs.Option D is also incorrect. While simulations can provide valuable insights and predictions, they do not necessarily produce results that are more accurate than experimental results. The accuracy of a simulation depends on the quality of the model, the assumptions made, and the parameters used. In some cases, experimental results may be more accurate than simulated results, especially when dealing with complex systems or phenomena that are difficult to model accurately.