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Probability Calculator

Find the chance of a single event, of two events happening together or separately, or of getting exactly k successes in n trials with the binomial formula.

Formulas last reviewed: September 2026

Disclaimer: Results are calculated with standard formulas and are meant for learning and quick checks. Please double-check important work, especially anything used for exams, engineering, finance or safety.

How likely is it?

Probability measures how likely an event is, from 0 (impossible) to 1 (certain), or 0% to 100%. This calculator covers three common situations: a single event, two events A and B, and repeated trials that either succeed or fail (the binomial distribution).

For two events you can choose whether they are independent (one does not affect the other) or mutually exclusive (they cannot both happen), and you get the chance of both, either, only one and neither.

How it is calculated

P(event) = favourable outcomes ÷ total outcomes
Independent: P(A and B) = P(A) × P(B)
P(A or B) = P(A) + P(B) − P(A and B)
Binomial: P(k) = C(n, k) × p^k × (1 − p)^(n − k)

Worked example

P(A) = 40% and P(B) = 25%, independent

Both
10%
At least one
55%
Neither
45%
Exactly 3 heads in 10 fair coin flips
11.72%

Common mistakes

  • Do not add probabilities of events that can overlap without subtracting the overlap.
  • Past results do not change independent events: a coin has no memory.
  • Probabilities of all possible outcomes add up to 100%.

Frequently asked questions

What is the difference between independent and mutually exclusive?

Independent events do not influence each other and can both happen. Mutually exclusive events cannot happen together, such as heads and tails on a single flip.

What are odds?

Odds compare success to failure, so a probability of 1 in 5 is odds of 1 : 4 in favour.

What does at least mean?

At least k means k or more. It equals 100% minus the probability of fewer than k.

When do I use the binomial option?

Use it when you repeat the same trial a fixed number of times, each trial has the same chance of success and the trials are independent.