How to Use
Select Simple for basic P(E), Addition Rule for P(A or B), or Multiplication Rule for P(A and B).
For Simple: enter favorable and total outcomes. For combined events: enter probabilities as decimals (e.g. 0.4 for 40%).
See the probability as a fraction, decimal, and percentage — with a complete step-by-step solution.
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.