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Question
- how do simulation models help in statistical analysis? a. by analyzing variability in sample estimates b. by increasing the sample size c. by eliminating the need for data collection d. by finding the exact population parameter
Brief Explanations
Simulation models run multiple trials to mimic real - world scenarios. They help in understanding how sample estimates vary due to sampling variability. They don't actually increase the real - world sample size, can't eliminate data collection as some initial data is needed for model setup, and can't find the exact population parameter as they are just approximations.
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A. By analyzing variability in sample estimates