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Probability Calculator

Calculate the probability of an event, odds, and complementary probability from favorable and total outcomes.

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Number of outcomes considered a success.

Total number of possible equally likely outcomes.

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About This Calculator

Probability governs everything from weather forecasts to insurance premiums and medical diagnoses. This calculator handles single events, multiple independent events, conditional probability, and complementary outcomes using fundamental probability rules. Whether you're calculating the odds of drawing a specific card or assessing risk in a business decision, understanding probability transforms guesswork into informed reasoning.

Quick Tips

  • 1 Multiply probabilities for "and" events; add them for "or" events.
  • 2 Independent events have no memory — a coin doesn't know it landed heads five times.
  • 3 Convert odds to probability: odds of 3:1 means 25% probability, not 33%.

Example Calculation

Scenario

Drawing 2 cards from a 52-card deck, find the probability both are aces.

Result

Probability: 0.45% | That is 4/52 x 3/51 = 12/2652 or about 1 in 221 attempts

What Is Probability?

Probability measures the likelihood of an event occurring, expressed as a number between 0 and 1 (or 0% to 100%). It is calculated as the number of favorable outcomes divided by the total number of possible outcomes. A probability of 0 means impossible; 1 means certain.

Probability vs Odds

Probability and odds express likelihood differently. Probability is favorable / total (e.g., 3/10 = 0.3). Odds are favorable / unfavorable (e.g., 3:7). To convert probability to odds: odds = p / (1-p). Odds are commonly used in gambling and medical research.

Basic Probability Rules

The complement rule: P(not A) = 1 - P(A). The addition rule for mutually exclusive events: P(A or B) = P(A) + P(B). The multiplication rule for independent events: P(A and B) = P(A) × P(B). These rules form the foundation of probability theory.

Applications of Probability

Probability is used in weather forecasting, insurance risk assessment, medical diagnosis, game theory, machine learning, quality control, and financial modeling. Understanding probability helps you make better decisions under uncertainty and evaluate risks in everyday life.

Frequently Asked Questions