Probability & Distributions
Mathematics · Cheatsheet

Probability & Distributions

Chapter 1 · Probability

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Basic probability
P(A)=favourabletotalP(A) = \frac{\text{favourable}}{\text{total}}
Complement
P(A)=1P(A)P(A') = 1 - P(A)
Union
P(AB)=P(A)+P(B)P(AB)P(A \cup B) = P(A) + P(B) - P(A \cap B)
Conditional
P(AB)=P(AB)P(B)P(A \mid B) = \frac{P(A \cap B)}{P(B)}
Independence
P(AB)=P(A)P(B)P(A \cap B) = P(A)\,P(B)
Combining events
P(AB)=P(A)+P(B)P(AB)P(A\cup B)=P(A)+P(B)-P(A\cap B)
Conditional / independent
P(AB)=P(AB)P(B);  indep:P(AB)=P(A)P(B)P(A|B)=\tfrac{P(A\cap B)}{P(B)};\;\text{indep}: P(A\cap B)=P(A)P(B)
Complement & tree
P(at least one)=1P(none)P(\text{at least one})=1-P(\text{none})
Multiply along branches; add across outcomes.
Common trap
Mutually exclusive (can’t both happen) ≠ independent (one doesn’t affect the other).