Probability Distribution Calculator
Calculate mean, variance, and standard deviation for your probability distribution data.
Understanding Probability Distributions
A probability distribution describes the likelihood of possible outcomes in a random experiment. Common types include:
Normal Distribution
The bell-shaped curve that occurs naturally in many phenomena, characterized by its mean and standard deviation.
Discrete Distribution
Deals with distinct, separate outcomes like dice rolls or coin flips.
Key Metrics
- Mean (μ) - The average or expected value
- Variance (σ²) - Measures spread from the mean
- Standard Deviation (σ) - Square root of variance, indicating typical deviation from mean