Identically distributed refers to a situation in statistics where two or more random variables share the same probability distribution. This concept is crucial in resampling methods, as it implies that the sampled data retains the characteristics of the original dataset, allowing for valid inference about the population. Understanding this idea is key when applying bootstrap techniques and other resampling methods, as it underlines the assumptions behind drawing conclusions from the samples generated.
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