Having established the presence of significant age disparities, I proceeded with post-hoc analyses to pinpoint specific differences between racial groups. Employing Tukey’s Honestly Significant Difference (HSD) test, I identified the pairs of races with the most notable age differences. This step was vital for a nuanced understanding of the dynamics at play within the dataset.

The outcomes of this analysis offer crucial insights into the complexities of racial disparities in police shootings. Acknowledging the presence of age differences among various racial groups is pivotal for shaping informed discussions and policy interventions.

When I conducted the ANOVA test on the dataset, it helped me determine whether there were any significant differences among the means of the groups. ANOVA provided a broad understanding, indicating that there were differences in at least one pair of groups’ means.

To delve deeper and identify the specific groups with different means, I employed Tukey’s Honestly Significant Difference (HSD) test. Unlike ANOVA, Tukey’s HSD is a post hoc test tailored to be used after ANOVA. It enabled me to pinpoint the exact groups that were driving the significant difference revealed by ANOVA.

In simpler terms, ANOVA acted as a preliminary indicator, suggesting the presence of differences, while Tukey’s HSD stepped in to provide detailed insights. It answered the crucial question: which particular groups within the dataset exhibited distinct means?