Probability Calculator Suite
Calculate probabilities, combinations, permutations, binomial, and conditional probability
Calculate simple probabilities and set operations
Number of successful outcomes
Total possible outcomes
Visual Probability Representation
Enter values to see probability visualization
Understanding Probability
Basic Probability
The probability of an event is the ratio of favorable outcomes to total possible outcomes.
P(Event) = Favorable Outcomes / Total Outcomes
Combinations vs Permutations
Combinations (nCr)
Order doesn't matter
Example: Selecting 3 people from 10 for a committee
Permutations (nPr)
Order matters
Example: Arranging 3 people in specific positions
Binomial Probability
Used when you have a fixed number of independent trials, each with the same probability of success.
- Each trial has only two outcomes (success or failure)
- Trials are independent
- Probability of success is constant
- Number of trials is fixed
Real-World Examples
Dice Rolling
Basic probability: 1/6 chance for any number on a fair die
Lottery
Combinations: Choosing 6 numbers from 49 = C(49,6)
Coin Flips
Binomial: Getting exactly 6 heads in 10 flips