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Criticize the following simulation: A student simulates the outcome of a basketball player's 3-point shot by letting 0 = missed shot and 1 = made shot.

Option 1: The simulation will not model the real situation. The simulation fails to account for the type of defense employed by the opposing team.
Option 2: The simulation cannot model the real situation. Shooting accuracy varies from day to day, so the real situation is inherently unpredictable.
Option 3: The simulation should model the real situation.
Option 4: The simulation probably will not model the real situation. The shooter's accuracy on a given day might be affected by an injury or illness.
Option 5: The simulation probably will not model the real situation. The simulation assumes that the player makes 50% of his 3-point shots, which is probably unrealistic.

1 Answer

3 votes

Final answer:

The student's question deals with evaluating the realism of a simulation predicting basketball 3-point shots. Options criticize the simulation's limitations, such as neglect of defensive play, daily variability in player performance, and unrealistic assumptions. The intricacies of real-life variability and existing physical principles are central to this evaluation.

Step-by-step explanation:

The student's question pertains to the validity of a simulation predicting the outcome of a basketball player's 3-point shots. Options such as saying the simulation will not model the real situation because it fails to account for the type of defense, or that shooting accuracy varies from day to day, are attempts to consider the complexities and variability involved in the act of making a 3-point shot in basketball. However, while it's true that a skilled basketball player does not perform explicit physics calculations when making a shot, the underlying principles of physics still apply. Similarly, the accuracy of the simulation may indeed be affected by factors such as the player's health on a particular day or their historical success rate, which might differ from the assumed 50%. Each of these factors highlights the challenges of creating a simulation that can accurately mirror every aspect of a complex real-world scenario.

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