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%
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%
?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, gambling, 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
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
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.
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.
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%).
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.
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.
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: 2025-01-15
Result
Probability
0.1667
16.67%