(0:01)Equiprobable Events: Events with equal chances of occurring. For example, a fair six-sided die, each face has a probability of $\large \frac{1}{6}$ of landing face-up.
(1:32)Addition Rule for Probability: For mutually exclusive events (events that can’t occur simultaneously), the probability of $A$ or $B$ is the sum of their probabilities. E.g., $P$(Blue or Red) = $P$(Blue) + $P$(Red).
(2:23)Understanding Expected Frequency: Expected values are estimations; actual outcomes may vary.
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