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Probability Calculator

Calculate probability for single events, multiple events (AND, OR), and binomial distributions. Convert between probability, percentage, and odds with step-by-step explanations.

Result

Probability

0.1667

16.67%

Percentage16.67%
Odds1:5
Complement83.33%

Calculation Type

Single Event Probability

P(A) = Favorable Outcomes / Total Outcomes

1 favorable outcomes out of 6 total possibilities.

Common Probability Examples

Probability Formulas

Basic Probability

P(A) = favorable / total

Complement

P(not A) = 1 - P(A)

AND (Independent)

P(A and B) = P(A) × P(B)

OR

P(A or B) = P(A) + P(B) - P(A∩B)

Result

Probability

0.1667

16.67%

Percentage16.67%
Odds1:5
Complement83.33%

?How Do You Calculate Probability?

Probability measures how likely an event is to occur, ranging from 0 (impossible) to 1 (certain). Basic formula: P(A) = favorable outcomes / total outcomes. For multiple independent events: P(A and B) = P(A) x P(B). For either event: P(A or B) = P(A) + P(B) - P(A and B). Odds represent the ratio of success to failure.

What is Probability?

Probability is the mathematical study of chance and uncertainty. It measures the likelihood of an event occurring as a number between 0 and 1 (or 0% to 100%). Probability theory is fundamental to statistics, data science, insurance, weather forecasting, and scientific research involving uncertainty.

Key Facts About Probability

  • Probability ranges from 0 (impossible) to 1 (certain), or 0% to 100%
  • P(Event) = Number of favorable outcomes / Total number of outcomes
  • P(A and B) = P(A) x P(B) for independent events
  • P(A or B) = P(A) + P(B) - P(A and B) (addition rule)
  • Odds = Probability / (1 - Probability), e.g., 25% probability = 1:3 odds
  • Complementary probability: P(not A) = 1 - P(A)
  • Conditional probability: P(A|B) = P(A and B) / P(B)
  • Expected value = Sum of (outcome x probability) for all outcomes

Try These Examples

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Practice Probability Problems

Test your understanding of probability

Practice with 4 problems to test your understanding.

Quick Answer

Probability measures how likely an event is to occur, ranging from 0 (impossible) to 1 (certain). Basic formula: P(A) = favorable outcomes / total outcomes. For multiple independent events: P(A and B) = P(A) x P(B). For either event: P(A or B) = P(A) + P(B) - P(A and B). Odds represent the ratio of success to failure.

Frequently Asked Questions

What is probability?

Probability measures the likelihood of an event occurring, expressed as a number between 0 (impossible) and 1 (certain). It's calculated as the number of favorable outcomes divided by the total number of possible outcomes. A probability of 0.5 means a 50% chance.

What are independent vs dependent events?

Independent events don't affect each other's probability (like coin flips). For independent events, P(A and B) = P(A) × P(B). Dependent events influence each other (like drawing cards without replacement). Dependent events require conditional probability.

What is the complement of a probability?

The complement of event A is "not A" - all outcomes where A doesn't occur. P(not A) = 1 - P(A). If there's a 30% chance of rain, there's a 70% chance of no rain. Complements always sum to 1 (100%).

What is the binomial distribution?

The binomial distribution models the probability of getting exactly k successes in n independent trials, each with probability p of success. Formula: P(X=k) = C(n,k) × p^k × (1-p)^(n-k). Example: probability of getting 3 heads in 5 coin flips.

How do I calculate P(A or B)?

For mutually exclusive events (can't both happen): P(A or B) = P(A) + P(B). For non-mutually exclusive events: P(A or B) = P(A) + P(B) - P(A and B). The subtraction avoids counting the overlap twice.

What are odds vs probability?

Probability is favorable/total outcomes. Odds compare favorable to unfavorable outcomes. If probability is 1/4 (25%), odds are 1:3 (1 favorable to 3 unfavorable). To convert: odds a:b means probability = a/(a+b).

Last updated: 2026-01-15

Formula:
By Joseph OrdunaHow this works

How this works

Computes probabilities for discrete events using standard combinatorial formulas: P(A) = favorable/total. For dependent events, conditional probability P(A|B) = P(A∩B)/P(B). Binomial and normal distribution support included.

Sources

  1. [1]
    NIST Digital Library of Mathematical Functions
    Academicdlmf.nist.govAccessed Apr 21, 2026
Joseph Orduna
Founder & Software Engineer

Full-stack software engineer specializing in embedded systems, web architecture, and AI/ML. Founder of Practical Web Tools. Built the gesture-controlled drone IP acquired by KD Interactive (Aura Drone, sold on Amazon).