Independent events are events that have no influence on each other. The outcome of one event does not affect the outcome of another event.
Imagine flipping a coin and rolling a dice. The result of flipping the coin has no impact on the result of rolling the dice. They are independent events.
Dependent Events: Dependent events are events where the outcome of one event affects the outcome of another event.
Probability: Probability is the likelihood or chance that an event will occur.
Conditional Probability: Conditional probability is the probability of an event occurring given that another event has already occurred.
AP Statistics - 4.4 Mutually Exclusive Events
AP Statistics - 5.3 The Central Limit Theorem
AP Statistics - 6.4 Setting Up a Test for a Population Proportion
AP Statistics - 7.6 Confidence Intervals for the Difference of Two Means
AP Statistics - 7.10 Skills Focus: Selecting, Implementing, and Communicating Inference Procedures
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