How to Use a Probability Calculator (With Clear Examples)
Probability is simply a way of measuring how likely something is to happen. Whether you are revising for an exam, checking the odds in a game, or analysing data at work, a good probability calculator saves time and avoids mistakes. On this page you can analyse single events, multiple events, combinations, permutations, binomial experiments and dice rolls — all in one place.
1. The basics: single event probability
The simplest type of probability question looks like this: “What is the chance of this event happening?”. The formula behind the Single Event tab is:
For example, rolling a 4 on a fair six-sided die has 1 favourable outcome and 6 possible outcomes, so P(rolling a 4) = 1 ÷ 6 ≈ 0.1667 or 16.67%.
2. Multiple events: AND vs OR
As soon as you have more than one event, the wording matters a lot. The Multiple Events tab supports:
- AND – both events must happen (for independent events we multiply the probabilities).
- OR – at least one of the events happens (we add probabilities and subtract any overlap).
Example: the probability of flipping two heads in a row is:
You can enter each probability either as a decimal (0.4) or as a percentage (40). The calculator normalises values above 1 by treating them as percentages.
3. Combinations vs permutations
Many exam and homework questions involve choosing or arranging items. The tricky part is knowing which formula to use:
- Combinations (nCr) – order does not matter (choosing a committee of 3 from 10 people).
- Permutations (nPr) – order matters (arranging 3 trophies on a shelf).
The Combinations tab uses:
and the Permutations tab uses:
For deeper work with averages and spread after counting outcomes, you can continue analysis with the Statistics Calculator or Basic Calculator.
4. Binomial probability in one click
Binomial probability appears often in textbooks, tests and data analysis. It applies when:
- You have a fixed number of trials (n).
- Each trial has only two outcomes (success/failure).
- The probability of success stays the same in every trial.
The Binomial tab uses the formula:
Think of flipping a coin, checking if a product passes quality control, or counting how many customers say “yes” in a survey. Instead of doing the heavy factorial maths by hand, you just enter n, k and p and the calculator returns the exact probability.
5. Exact dice roll probabilities
The Dice Probability tab lets you answer questions like: “What is the chance that two six-sided dice add up to 7?” or “What are the odds that three 8-sided dice sum to 15?”.
Behind the scenes, the tool uses a dynamic programming table to count every possible way the dice can reach the target sum. It then divides those favourable outcomes by the total number of outcomes (sidesdice) to give an exact probability and percentage.
6. Common mistakes to avoid
- Gambler’s fallacy: past independent results (like previous coin flips) do not change the probability of the next flip.
- Mixing up AND and OR: “A and B” almost always gives a smaller probability than “A or B”.
- Forgetting the sample space: always be clear about the total number of possible outcomes, especially with cards, dice or multi-step experiments.