Probability Calculator
Calculate probabilities of events with this free online calculator. Find union, intersection, and other related probabilities of two independent events.
Probability of Two Events
Enter the probabilities of two independent events to calculate various probability relationships between them.
Key Probability Formulas
\(P(A') = 1 - P(A)\) - Complement of A
\(P(A \cap B) = P(A) \times P(B)\) - Intersection (for independent events)
\(P(A \cup B) = P(A) + P(B) - P(A \cap B)\) - Union
\(P(A \Delta B) = P(A) + P(B) - 2 \times P(A \cap B)\) - Symmetric Difference
Example
If P(A) = 0.6 and P(B) = 0.3:
- P(A') = 1 - 0.6 = 0.4
- P(A∩B) = 0.6 × 0.3 = 0.18
- P(A∪B) = 0.6 + 0.3 - 0.18 = 0.72
- P(AΔB) = 0.6 + 0.3 - 2 × 0.18 = 0.54
About Probability
Probability is a branch of mathematics that deals with calculating the likelihood of a given event's occurrence, which is expressed as a number between 0 and 1.
Basic Probability Concepts
- Sample Space (S): The set of all possible outcomes of an experiment.
- Event: A subset of the sample space.
- Probability of an Event: The number of favorable outcomes divided by the total number of possible outcomes.
- Complement of an Event: All outcomes in the sample space that are not in the event.
Probability Rules
- Addition Rule: P(A or B) = P(A) + P(B) - P(A and B)
- Multiplication Rule (Independent Events): P(A and B) = P(A) × P(B)
- Complement Rule: P(not A) = 1 - P(A)
Types of Events
- Independent Events: The occurrence of one event does not affect the probability of the other event.
- Dependent Events: The occurrence of one event affects the probability of the other event.
- Mutually Exclusive Events: Two events cannot occur simultaneously.
Applications of Probability
- Statistics: Used in hypothesis testing, confidence intervals, and data analysis.
- Finance: Used in risk assessment, portfolio management, and option pricing.
- Insurance: Used to calculate premiums based on the likelihood of claims.
- Medicine: Used in clinical trials, diagnostic testing, and epidemiology.
- Computer Science: Used in machine learning, artificial intelligence, and cryptography.