Nov 3rd – Project Updates

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.

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