In our ongoing exploration of police shootings in the U.S., today’s focus is on utilizing Monte Carlo simulations to better understand the average age of individuals involved in these fatal incidents. This statistical technique offers a robust method for understanding the distribution and variability of outcomes based on existing data. Here’s what the analysis revealed:
Monte Carlo Estimation of Average Age:
- Methodology: We utilized Monte Carlo simulations to estimate the average age of individuals killed by police. The simulation randomly sampled ages from the original dataset 10,000 times to generate a distribution of average ages.
- Key Findings:
- Estimated Mean Age: The simulated mean age is approximately 37.29 years.
- Standard Deviation: The standard deviation is approximately 0.14, indicating a very narrow margin of error in the estimation.
- What This Means: The simulation corroborates that the average age of individuals killed by police is around 37 years. The narrow standard deviation suggests this average is consistent across different scenarios.
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