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Effect size is a quantitative measure that describes the strength or magnitude of a phenomenon, typically the difference or relationship between groups or variables in a study. It provides a way to assess the practical significance of research findings, going beyond just statistical significance (e.g., p-values). There are several types of effect sizes, including: 1. **Cohen's d**: Used to measure the standardized difference between two means.

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  1. Medical statistics
  2. Applied statistics
  3. Applied mathematics
  4. Fields of mathematics
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