Probability Calculator
Calculate probability of events, combinations, and statistical outcomes. Free, fast, accurate — no signup, mobile-friend
Probability Type
Parameters
🎲 Common Examples
📏 Probability Rules
Probability
16.67%
Complement
83.33%
Odds For
to 1
Odds Against
to 1
Likelihood: Unlikely
10-30% chance
Step-by-Step Solution
How it works
Probability measures how likely an event is, from 0 (impossible) to 1 (certain). For equally likely outcomes it's the number of favorable outcomes divided by the total. Independent events combine by multiplying; mutually exclusive ones by adding.
Basic probability
P(event) = favorable outcomes ÷ total outcomes P(A and B) = P(A) × P(B) (independent)
- favorable
- outcomes that count as the event
- total
- all equally likely outcomes
Worked example
- Roll one die; event = rolling a 4 or higher
- Favorable outcomes: 4, 5, 6 → 3
- Total outcomes: 6
P = 3 ÷ 6 = 0.5 (50%).
Good to know
- Probabilities always fall between 0 and 1 (or 0–100%).
- The complement rule is handy: P(not A) = 1 − P(A).
- For “A or B” that can both happen, subtract the overlap: P(A) + P(B) − P(A and B).
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Frequently Asked Questions
How do I calculate the probability of a single event?
Divide the number of favorable outcomes by the total number of equally likely outcomes. Probability ranges from 0 (impossible) to 1 (certain), and multiplying by 100 expresses it as a percentage.
How do I find the probability of two events both happening?
For independent events, multiply their probabilities: P(A and B) = P(A) x P(B). Two coin flips both landing heads is 0.5 x 0.5 = 0.25. If the events are dependent, use the conditional probability of the second given the first.
How do I calculate the probability of A or B?
Use the addition rule: P(A or B) = P(A) + P(B) - P(A and B). Subtracting the overlap prevents double-counting outcomes where both events occur.
What is the complement rule?
The probability an event does not happen is 1 minus the probability it does. It's especially useful for 'at least one' problems: P(at least one success) = 1 - P(no successes).
What is the difference between combinations and permutations?
Permutations count arrangements where order matters (nPr); combinations count selections where it doesn't (nCr). Choosing 3 committee members from 10 people is a combination; ranking 3 winners is a permutation.