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Formal Sciences
Statistics
1733
Intermediate

Normal Distribution

f(x)=1σ2πe(xμ)22σ2f(x) = \frac{1}{\sigma\sqrt{2\pi}} e^{-\frac{(x-\mu)^2}{2\sigma^2}}

The bell curve—nature's default pattern for measurements clustered around an average with spread σ.

By Abraham de Moivre, Carl Friedrich Gauss

Formal Sciences
Normal Distribution
1733 · Abraham de Moivre
Why it matters: Central to statistics, quality control, finance, and the Central Limit Theorem.

Discoverers: Abraham de Moivre, Carl Friedrich Gauss (1733)

What does it mean?

The bell curve—nature's default pattern for measurements clustered around an average with spread σ.

Why should I care?

Central to statistics, quality control, finance, and the Central Limit Theorem.

Variables & Units

SymbolNameUnitMeaning
μμMeanCenter of distribution
σσStd deviationSpread of distribution
xxValueRandom variable

Worked Example

Heights with μ=170cm, σ=10cm: ~68% fall between 160-180cm.

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Normal Distribution

f(x)=1σ2πe(xμ)22σ2f(x) = \frac{1}{\sigma\sqrt{2\pi}} e^{-\frac{(x-\mu)^2}{2\sigma^2}}

Real-world impact

Global economy

Quantitative models shape markets and policy.

Photo: Unsplash — financial markets

The bell curve—nature's default pattern for measurements clustered around an average with spread σ.

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