Investigating the Relationship Between Gender, Age, and Road User Fatalities in Great Britain

This investigation explores whether gender and age influence road user fatalities in Great Britain, hypothesizing that males experience higher fatality rates and that age correlates differently across genders.

Utilizing a decade of UK government data, the study employs Chi-squared tests of independence, independent two-sample t-tests, Pearson’s Product-Moment Correlation Coefficient (PPMCC), and linear regression modeling.

Results reveal a statistically significant association between gender and road user type, with males consistently showing higher fatalities. While females exhibit a strong positive linear correlation between age and fatalities, males show a weak, non-linear trend.

This exemplar is valuable for its rigorous application of multiple statistical tests and detailed evaluation of interpolation versus extrapolation.