Adjust the inputs below. Results update as you type.
P(A and B) = P(A) × P(B) if independent. P(A or B) = P(A) + P(B) − P(A and B). Conditional: P(A|B) = P(A and B) / P(B). Bayes: P(A|B) = P(B|A) × P(A) / P(B). Common mistake: independence does not equal mutual exclusivity—mutually exclusive events can't both occur, independent events don't affect each other. Complement rule: P(not A) = 1 − P(A).
P(X=k) = 1.171875e-1