Probability Rules and Expected Values

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  • (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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