Intro to Biostatistics
Independent random variables are two or more random variables that do not influence each other's outcomes. This means that the occurrence of one variable does not provide any information about the other, allowing their joint distribution to be calculated simply by multiplying their individual probabilities. Understanding independent random variables is crucial when calculating expectations, variances, and probabilities in more complex scenarios, such as when combining results from multiple experiments or processes.
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