Normal Distribution Calculator
Calculate probabilities for the normal (Gaussian) distribution.
Find the probability between, above, or below any value given the mean and standard deviation.
Normal Distribution (Bell Curve):
The normal distribution is the most important probability distribution in statistics. It is defined by two parameters: the mean (μ) and the standard deviation (σ).
Probability Density Function:
f(x) = (1 / (σ√(2π))) × e^(-(x-μ)²/(2σ²))
Key properties:
- Symmetric around the mean
- Mean = median = mode
- 68.27% of data within ±1σ
- 95.45% of data within ±2σ
- 99.73% of data within ±3σ
Standard Normal: When μ = 0 and σ = 1, it is the standard normal distribution. Any normal distribution can be converted to standard normal using z-scores.