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Probability Calculator

Free probability calculator for two events, single events and repeated trials. Find P(A and B), P(A or B), conditional probability, odds and binomial chances with steps.

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Probability Calculator

What do you want to find?
P(A) = 0.3
P(B) = 0.4
How are A and B related?
Step-by-step working
  1. Independent events: P(A and B) = P(A) × P(B) = 0.3 × 0.4 = 0.12.
  2. P(A or B) = P(A) + P(B) − P(A and B) = 0.3 + 0.4 − 0.12 = 0.58.
  3. P(not A) = 1 − 0.3 = 0.7 and P(not B) = 1 − 0.4 = 0.6.
  4. P(A given B) = P(A and B) ÷ P(B) = 0.12 ÷ 0.4 = 0.3.
P(A and B)
0.12
12% · 3/25
P(A or B)
0.58
P(A given B)
0.3
P(B given A)
0.4
Neither
0.42
All the probabilities
  • P(A and B): 0.12 (12%)
  • P(A or B): 0.58 (58%)
  • P(not A): 0.7 (70%)
  • P(not B): 0.6 (60%)
  • A only: 0.18 (18%)
  • B only: 0.28 (28%)
  • Exactly one of A or B: 0.46 (46%)
  • Neither A nor B: 0.42 (42%)
Check your answer
  • The four regions add up to 1 (they must total 1).
  • For independent events P(A given B) = P(A): 0.3 = 0.3, confirmed.
Quick note
Two events are independent when one happening does not change the chance of the other, such as two separate coin flips.
Probability Calculator - find the probability of events, odds and repeated trials online on HighCalc

Probability Calculator: Two Events, Single Events and Repeated Trials

This free probability calculator covers the three situations that come up most. With two events, it finds the chance that both happen, that either happens, that neither happens, and the conditional probabilities. With a single event, it turns favorable and total outcomes into a probability, a percentage and odds. With repeated trials, it finds the chance of a given number of successes. Every result comes with the working and a diagram.

Quick answer: if event A has a probability of 0.3 and event B has 0.4, and the events are independent, the chance that both happen is 0.3 × 0.4 = 0.12 and the chance that at least one happens is 0.58.

What Is Probability?

Probability measures how likely an event is, on a scale from 0, which means impossible, to 1, which means certain. It can be written as a decimal such as 0.25, a percentage such as 25%, or a fraction such as 1/4. When all outcomes are equally likely, the probability is the number of favorable outcomes divided by the total number of outcomes.

Independent and Mutually Exclusive Events

Two events are independent when one has no effect on the other, so you multiply their probabilities to find the chance of both. Events are mutually exclusive when they cannot happen together, so the chance of both is zero and the chance of either is found by adding. If you know the chance of both events from a table or survey, choose that option and enter it directly. The table shows some examples.

SituationCalculationResult
Independent events, P(A) = 0.3 and P(B) = 0.4P(A and B) = 0.3 × 0.40.12
Same events, A or B0.3 + 0.4 − 0.120.58
Mutually exclusive, P(A) = 0.2 and P(B) = 0.5P(A or B) = 0.2 + 0.50.7
Rolling an even number on a die3 favorable ÷ 6 outcomes0.5
At least one six in 4 rolls1 − (5/6)⁴0.517747
Exactly 5 heads in 10 flipsC(10, 5) × 0.5¹⁰0.246094

Conditional Probability

Conditional probability asks how likely A is once you know B has happened. It equals the chance of both, divided by the chance of B. For independent events the answer is simply P(A), because knowing B tells you nothing new. The two-event option shows P(A given B) and P(B given A) so you can compare them.

Probability, Odds and Percentages

Odds compare favorable outcomes with unfavorable ones instead of with the total. A one in six chance is a probability of 1/6, about 16.67%, but the odds for it are 1 to 5. The single-event option shows all of these forms together. For converting between them and working with ratios, the percentage calculator and the fraction calculator are useful.

Repeated Trials and the Binomial Formula

When the same chance is tried several times, such as flipping a coin ten times or testing twenty items from a production line, the binomial formula gives the chance of exactly k successes. The calculator also gives at most, at least, fewer than and more than, plus the expected number of successes and the standard deviation. For more on spread, see the standard deviation calculator and the mean, median, mode calculator.

Who Uses a Probability Calculator?

Students use it for statistics and maths homework. Teachers use it for worked examples. Game players, analysts, researchers and quality inspectors use it to judge risk and chance. For general arithmetic along the way, the scientific calculator and the math solver can help.

How to Use This Probability Calculator

1

Choose what to find

Pick Two events, One event or Many trials.

2

Enter your values

Type probabilities as decimals between 0 and 1, or use the sliders. For one event, enter the outcome counts.

3

Say how events are related

For two events, choose Independent, Mutually exclusive or enter P(A and B) yourself.

4

Read the results

See the answer, the working, a check and a diagram, with every value as a decimal and a percentage.

Features

Instant Results
The answer updates as you type
Exact Fractions
Two-event answers are worked out exactly
Three Modes
Two events, one event and repeated trials
Live Diagram
A Venn diagram, outcome dots or a trials chart
Step-by-Step Working
Follow each formula with your numbers
Mobile Friendly
Works smoothly on phones, tablets and desktops
Frequently Asked Questions
Common questions about the Probability Calculator.
What is the difference between independent and mutually exclusive events?
Independent events do not affect each other, so P(A and B) = P(A) × P(B). Two coin flips are independent. Mutually exclusive events cannot happen together, so P(A and B) = 0 and P(A or B) = P(A) + P(B). Rolling a 2 and rolling a 5 on one throw of a die are mutually exclusive. Events that are mutually exclusive are never independent unless one of them is impossible.
How do I find the probability of A or B?
Add the two probabilities and subtract the overlap: P(A or B) = P(A) + P(B) − P(A and B). With P(A) = 0.3, P(B) = 0.4 and independent events, P(A and B) = 0.12, so P(A or B) = 0.3 + 0.4 − 0.12 = 0.58. For mutually exclusive events the overlap is zero, so you simply add.
What is conditional probability?
It is the probability of one event given that another has already happened, written P(A given B) = P(A and B) ÷ P(B). If P(A and B) is 0.12 and P(B) is 0.4, then P(A given B) = 0.3. The calculator shows both P(A given B) and P(B given A) for your two events.
What is the difference between probability and odds?
Probability compares the favorable outcomes with all outcomes: 1 in 6 for a given face of a die is 1/6, or about 16.67%. Odds compare favorable with unfavorable outcomes: the odds for that face are 1 : 5, and the odds against are 5 : 1. Use the One event option to see probability, odds and the chance written as one in so many.
How do I find the chance of at least one success in several tries?
Work out the chance of no success and subtract it from 1: 1 − (1 − p)ⁿ. The chance of at least one six in 4 rolls of a die is 1 − (5/6)⁴ = 0.5177, or about 51.77%. In the Many trials option this is shown as At least one.
What does the Many trials option calculate?
It uses the binomial formula for n independent attempts that each succeed with the same probability p. It gives the chance of exactly k successes, at most k, at least k, fewer than k and more than k, along with the expected number of successes and the standard deviation. For 10 coin flips, the chance of exactly 5 heads is 0.246094, about 24.6%.