Probability Calculator

P(E) = Favorable outcomes ÷ Total outcomes. Also finds complementary probability P(Ē).

Enter valid non-negative integers. Favorable outcomes must be ≤ total outcomes.

P(A∪B) = P(A) + P(B) − P(A∩B). Enter 0 for P(A∩B) if events are mutually exclusive.

All values must be between 0 and 1. P(A∩B) must be ≤ min(P(A), P(B)) and P(A∪B) must be ≤ 1.

For independent events: P(A∩B) = P(A) × P(B). For dependent events, enter P(B|A) — the probability of B given A.

P(A) and P(B) must be between 0 and 1.

How to Use

1
Choose the Rule

Select Simple for basic P(E), Addition Rule for P(A or B), or Multiplication Rule for P(A and B).

2
Enter Values

For Simple: enter favorable and total outcomes. For combined events: enter probabilities as decimals (e.g. 0.4 for 40%).

3
Get the Result

See the probability as a fraction, decimal, and percentage — with a complete step-by-step solution.

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Frequently Asked Questions

P(E) = Number of favorable outcomes / Total number of possible outcomes. Probability always lies between 0 and 1 inclusive. P(E) = 0 means the event is impossible; P(E) = 1 means it is certain.

P(A∪B) = P(A) + P(B) − P(A∩B). The subtraction removes the overlap counted twice. For mutually exclusive events (cannot happen together), P(A∩B) = 0, so P(A∪B) = P(A) + P(B).

Independent events: P(A∩B) = P(A) × P(B). One event does not affect the other.

Dependent events: P(A∩B) = P(A) × P(B|A), where P(B|A) is the conditional probability of B given that A has occurred.

P(Ē) = 1 − P(E). The complement is the probability of the event NOT occurring. Example: if P(getting a 6 on a die) = 1/6, then P(not getting a 6) = 5/6. This is useful when P(not E) is easier to compute than P(E) directly.

Mutually exclusive: Events cannot occur simultaneously. P(A∩B) = 0. Example: getting H and T in a single coin flip.

Independent: Occurrence of one does not affect the other. P(A∩B) = P(A) × P(B). Example: flipping a coin twice — each flip is independent.

Note: mutually exclusive events with non-zero probability are always dependent (if A occurs, B cannot).

Probability appears in SSC CGL, CHSL, IBPS PO, and Railway exams. Common problems involve: drawing cards from a deck (52 cards), rolling dice, drawing balls from a bag, coin tosses, and arrangements. Always identify the sample space (total outcomes) and favorable outcomes first.