Identically distributed random variables are a set of random variables that all share the same probability distribution. This means that each variable has the same mean, variance, and shape of distribution, making their statistical properties equivalent. Such a condition is crucial in various statistical methods and analyses, especially when working with transformations of these variables, as it simplifies calculations and interpretations.
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