Probability formula reference

Normal Distribution Density

Defines the bell-shaped normal probability density.

Open in editor
LaTeXf(x)=\frac{1}{\sigma\sqrt{2\pi}}e^{-\frac{(x-\mu)^2}{2\sigma^2}}

Variables

  • μ: mean
  • σ: positive standard deviation

How to use this formula

Defines the bell-shaped normal probability density.

Important notes

  • Probabilities are areas under the density curve.

Quick example

The density is symmetric around μ.

Applicability, worked calculation, and verification

Assumptions and domain checks

  • Probabilities are areas under the density curve.
  • For the Normal Distribution Density, every denominator must be nonzero, and the numerator and denominator must remain correctly grouped.
  • For a real-valued result, each even-root radicand must be nonnegative unless complex values are intended.
  • The event model, conditioning information, independence assumptions, and probability range must match the problem.

Worked example

Input

Output

The density is symmetric around μ.

Common mistakes

  • When copying Normal Distribution Density, keep the complete numerator and denominator grouped; a missing brace or parenthesis changes the result.
  • Do not assume events are independent or mutually exclusive unless the problem states or proves that condition.

Continue the workflow

Use Normal Distribution Density in your own work

  1. Check the domainMatch the variables and assumptions to the problem before substituting values.
  2. Copy the exact notationPreserve grouping, signs, and exponents in f(x)=\frac{1}{\sigma\sqrt{2\pi}}e^{-\frac{(x-\mu)^2}{2\sigma^2}}.
  3. Edit or convertOpen the expression in the LaTeX editor, then export it for your document or web page.

Review and verification

Last reviewed: 2026-07-23

Automated quality check: Kept noindex until the missing evidence is supplied.

Formula references

Frequently asked questions

What is the Normal Distribution Density used for?

Defines the bell-shaped normal probability density.

Can I copy this formula as LaTeX?

Yes. Copy f(x)=\frac{1}{\sigma\sqrt{2\pi}}e^{-\frac{(x-\mu)^2}{2\sigma^2}} or open it in the LaTeX editor.

What should I check before using it?

Confirm that each variable, unit, domain restriction, and assumption matches the problem.

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