Probability Calculator
Basic, complement, conditional, independent and dependent event probabilities with the rule used shown for each result.
Basic, complement, conditional, independent and dependent event probabilities with the rule used shown for each result.
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Applies the basic rules of probability to two events A and B. Choose how the events are related — independent, mutually exclusive, or dependent with a known conditional probability — and get the complement, intersection, union and conditional probabilities.
A single-event mode computes a probability from favourable and total outcomes.
Example
Independent, P(A) = 0.5, P(B) = 0.3
→ P(A and B) = 0.15, P(A or B) = 0.65
Complement rule.
Addition rule.
Multiplication rule. For independent events P(B \mid A) = P(B).
Independent events do not affect each other’s chances. Mutually exclusive events cannot happen together, so if one occurs the other certainly does not — they are strongly dependent (unless one has probability 0).