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Probability Formulas

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Addition Rule of Probability (Union)

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P(A∪B)=P(A)+P(B)−P(A∩B)P(A \cup B) = P(A) + P(B) - P(A \cap B)

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Multiplication Rule of Probability (Intersection)

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P(A∩B)=P(A)×P(B∣A)P(A \cap B) = P(A) \times P(B|A)

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Conditional Probability

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P(A∣B)=P(A∩B)P(B)P(A|B) = \frac{P(A \cap B)}{P(B)}

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Bayes' Theorem

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P(A∣B)=P(B∣A)×P(A)P(B)P(A|B) = \frac{P(B|A) \times P(A)}{P(B)}

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Law of Total Probability

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P(A)=∑i=1nP(A∣Bi)×P(Bi)P(A) = \sum_{i=1}^n P(A|B_i) \times P(B_i)

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Probability of the Complement

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P(A′)=1−P(A)P(A') = 1 - P(A)

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Expected Value

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E(X)=∑xiP(xi)E(X) = \sum x_i P(x_i)

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Variance of a Probability Distribution

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σ2(X)=E[(X−E(X))2]=∑(xi−E(X))2P(xi)\sigma^2(X) = E[(X - E(X))^2] = \sum (x_i - E(X))^2 P(x_i)

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Standard Deviation of a Probability Distribution

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σ(X)=σ2(X)\sigma(X) = \sqrt{\sigma^2(X)}

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Binomial Probability Formula

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P(X=k)=(nk)pk(1−p)n−kP(X=k) = \binom{n}{k} p^k (1-p)^{n-k}

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