Independent events are those whose outcomes do not influence each other, meaning the occurrence of one event does not affect the probability of the other. In contrast, dependent events are events where the occurrence of one event affects the probability of the other occurring. For example, consider drawing cards from a deck without replacement: if the first card drawn is a King, the probability of drawing a second King from the remaining cards is affected, making these events dependent.
In 3–5 sentences, explain the difference between independent and dependent events when calculating conditional probability, and provide an example of dependent events
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