We discussed the age distribution of those killed by police in today’s class.
We used the provided dataset’s age and race components for this purpose, primarily concentrating on comparisons between Black and White people as well as the general age distribution.
We conducted the study once more using Mathematica (a Python equivalent will be published in the upcoming updates).
These are the results we obtained for the total age distribution:
Age minimum: six years
Maximum age: ninety-one
Average age: 37.1%
Age median: 35 years old
Mean difference: 13.0 years
The distribution has a slight right-skewed (skewness of 0.73), with a kurtosis near 3 indicating a normal-like distribution and a skewness suggesting a slight age distribution towards the right. dispersion without prominent peaks or protruding tails.
Age Breakdown by Race:
People of color
The age range is as follows: minimum: 13, maximum: 88, mean: 32.7 years, median: 31 years, standard deviation: -11.4 years.
The distribution of black people slain by police has a kurtosis of 3.9 and a right skewness of about 1, indicating a slightly fat or peaky tail.
Caucasian individuals
a mean age of 40 years, a median age of 38 years, a maximum age of 91, a minimum age of 6, and a standard deviation of 13.3 years.
With a kurtosis of 2.86 and a moderate rightward skewness (skewness: 0.53), this distribution shows no long, fat tails and little peakiness.
Comparing Individuals Who Are Black and White:
..It was discovered that the mean age difference was roughly 7.3. decades.(On average, white people slain by police are statistically substantially older than black people.)
The statistical significance of this age difference was verified by a Monte Carlo simulation, which also showed that there is extremely little possibility that the observed age difference happened by accident.
Using Cohen’s d to measure effect size, the medium effect size of 0.58 indicated a medium-sized impact from the age difference.
In the upcoming post, additional details concerning Cohen’s D