Statistical Independence

Statistical independence means that two events or variables do not influence each other. In simple terms, if you know the outcome of one event, it gives you no useful information about the other. For example, if you flip a coin and roll a die, the result of the coin flip (heads or tails) has no effect on the die roll (1 through 6). In statistics, independence is a key concept because it allows us to analyze events separately, making predictions and understanding relationships simpler and more accurate.