The sum of independent random variables is a fundamental concept in probability theory that describes the result of adding two or more random variables that are statistically independent from each other. This concept is crucial for understanding how distributions change when combining different random variables, and it plays a significant role in calculating probabilities and expectations in various scenarios, especially when transforming random variables through addition.
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