Cohen's d is a statistical measure that quantifies the effect size between two groups by calculating the difference in their means and expressing it in terms of standard deviation. This metric is crucial in hypothesis testing, as it helps to understand the practical significance of a result beyond just statistical significance. By using Cohen's d, researchers can compare the magnitude of effects across different studies or contexts, making it valuable in both parametric and non-parametric tests.
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