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Statistical independence occurs when the probability of one event happening is not affected by another event. For independent events, the conditional probability remains the same, regardless of whether other events have occurred.1

Mathematically, two events, A and B, are independent if the probability of B occurring given that A has occurred is equal to the probability of B occurring on its own. This can be expressed as (P(B|A) = P(B)).2

This concept is fundamental in probability theory and plays a key role in various statistical concepts like the law of large numbers and the central limit theorem.2

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