To understand the statistical significance , we used “Cohen’s d” effect size measure, which is commonly used in conjunction with t-tests. Cohen’s d quantifies the difference between two groups in terms of standard deviations.
Cohen’s d is calculated using the formula:
d = (mean difference/Pooled Standard Deviation)
Where the Mean Difference is the difference in means between two groups, and the Pooled Standard Deviation is a weighted average of the standard deviations of the two groups.
On calculating this in regards to the mean age of Black and white race, we found that Cohen’s d: 0.57 which is a small effect size i.e average age of White has higher mean in comparison with Black race.