Probability Calculator

Comprehensive probability tools with step-by-step solutions. Not just answers — understanding.
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Core Formula
P(A) = favorable ÷ total
The foundation of all probability calculations

Choose from our complete suite of probability calculators. Each tool provides detailed step-by-step work, visual charts, and clear explanations so you learn why the probability is what it is. Whether you need a binomial probability calculator, dice odds, or lottery number analysis, we cover every major probability scenario.

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Basic Probability

Single event, combined events, independent events. P(A), P(A∪B), P(A∩B). Includes probability percentage and fraction conversion.

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Binomial Probability

Exactly k successes in n trials. Distribution chart, cumulative probs, step-by-step work. Find P(X=k), P(X≤k), and P(X≥k).

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Dice Probability

Single die, multiple dice, sums. All standard dice (d4–d20) with distribution charts. Calculate dice roll odds for any game.

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Coin Flip

Coin toss for any number of flips. Binomial distribution with at-least/at-most queries. Probability of getting heads calculator.

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Card Draw

Deck-based hypergeometric probability. Draw specific cards from any deck size. Poker probability and card odds.

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Combinations & Permutations

nCr and nPr with and without repetition. Count arrangements and selections. Essential for probability problems.

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Conditional Probability

P(A|B) and Bayes theorem. Update probabilities with new evidence. Bayesian inference and diagnostic test analysis.

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Lottery Odds

6/59, 6/49, Powerball, Mega Millions. Full prize tier odds. Lottery probability calculator for all major games.

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Normal Distribution

Calculate normal probabilities with mean and standard deviation. Interactive bell curve with shaded areas. Empirical rule and z-scores.

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Z-Score Calculator

Convert raw scores to z-scores and find percentiles. Reverse lookup: find the z-score from a probability or percentile rank.

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Expected Value

Calculate E(X), variance, and standard deviation from a probability table. Presets for dice, coins, and lottery tickets.

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Poisson Distribution

Model rare events with the Poisson distribution. Find P(X=k) for a given rate λ. Cumulative probabilities and distribution charts.

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Geometric Distribution

Calculate the probability of first success on a given trial. Negative binomial mode for the nth success. Waiting time problems.

Most probability sites give you a single number with no explanation. This hub is different — every calculator shows the formula, the values plugged in, and the intermediate steps.

Whether you're studying for an exam, teaching probability, designing game mechanics, or just curious about the odds, you'll find tools that actually help you understand the math. Our calculators cover everything from simple coin flips to complex lottery odds with millions of combinations.

We believe that probability literacy is essential in today's world. From interpreting medical test results to evaluating financial risks, understanding probability helps you make better decisions. Every calculator on this site is designed to teach, not just compute.

  • 14 probability calculators covering every common scenario including normal distribution, expected value, Poisson, and Bayes theorem
  • Step-by-step work — formulas, substitutions, intermediate calculations with full explanations
  • Distribution charts for binomial, dice, and coin flip with highlighted values
  • Real content — explanations, worked examples, common mistakes, FAQs on every page
  • Save and share your results with one click using our built-in share buttons
  • Free and private — all calculations run in your browser, nothing is sent to a server

Probability is the mathematical measure of how likely an event is to occur, expressed as a number between 0 (impossible) and 1 (certain). The foundation is simple: count favorable outcomes and divide by total possible outcomes.

For independent events, the probability that both occur is the product of their individual probabilities. For mutually exclusive events, the probability that either occurs is the sum. Conditional probability updates these estimates when new information becomes available — this is the essence of Bayesian thinking.

Common applications include calculating the probability of getting heads on a coin flip (50%), the odds of rolling a specific dice sum, or the chance of drawing a particular card from a deck. More advanced scenarios involve the binomial distribution for repeated trials, the hypergeometric distribution for sampling without replacement, and combinatorial counting for lottery odds.

Quick Reference

P(A) = favorable / total

P(A∩B) = P(A) × P(B) (independent)

P(A∪B) = P(A) + P(B) − P(A∩B)

P(A|B) = P(A∩B) / P(B)

nCr = n! / (r!(n−r)!)

nPr = n! / (n−r)!

How to calculate probability?
Divide the number of favorable outcomes by the total number of possible outcomes. P(A) = favorable / total. For example, rolling a 3 on a die: 1/6 = 16.67%.
What is the binomial probability formula?
P(X=k) = C(n,k) × p^k × (1-p)^(n-k), where n = trials, k = successes, p = probability of success. C(n,k) counts the ways to arrange k successes.
What are Powerball jackpot odds?
1 in 292,201,338. You must match 5 white balls (1-69) and 1 red Powerball (1-26). Total combinations = C(69,5) × 26.
How does Bayes theorem work?
Bayes theorem reverses conditional probability: P(A|B) = P(B|A) × P(A) / P(B). It updates the probability of a hypothesis given new evidence.
What is the difference between combinations and permutations?
Permutations (nPr) count arrangements where order matters. Combinations (nCr) count selections where order doesn't matter. nPr is always larger than nCr.
How do I calculate dice sum probabilities?
Count favorable combinations divided by total outcomes (sides^dice). For 2d6 sum of 7: 6 favorable combinations / 36 total = 16.67%.
What is conditional probability?
P(A|B) = P(A∩B) / P(B). It answers: given that B happened, what's the probability that A also happens? It updates probabilities with new evidence.
Are Mega Millions odds better than Powerball?
Powerball has slightly better jackpot odds (1 in 292M vs 1 in 302M for Mega Millions). However, both are extremely unlikely — you're far more likely to be struck by lightning.