Normal Distribution (PDF)

vCalc Reviewed

Last modified by

KurtHeckman

on

Jul 24, 2020, 6:28:07 PM

Created by

KurtHeckman

on

Sep 30, 2014, 6:10:05 PM

= \frac{1}{σ \sqrt{2 π}} e^{- \frac{{(x - μ)}^{2}}{2 \cdot σ^{2}}}

$= 1/( sigma sqrt(2 pi)) e^(-( "x" - mu )^2/(2* sigma ^2)$

x

(μ) mean

$(mu)"mean"$

(σ) standard deviation

$(sigma)"standard deviation"$

Introduction

This is the probability density function (PDF) of the normal distribution. The user can enter the ordinance (x), the mean (µ) and standard deviation (σ).

Creator

The formula for the Normal Distribution is credited to Johann Carl Friedrich Gauss .

Born: 30 April 1777 Brunswick, Duchy of Brunswick-Wolfenbüttel, Holy Roman Empire

Died: 23 February 1855 (aged 77) Göttingen, Kingdom of Hanover

Variations

The Standard Normal Distribution simply has a mean of zero and standard deviation of 1.

Comments
Attachments
Stats

No comments

No attachments

Last 12 Months

This site uses cookies to give you the best, most relevant experience. By continuing to browse the site you are agreeing to our use of cookies.

Normal Distribution (PDF)

Introduction

Creator

Variations

Datasets

Equations and Data Items

Calculators

Equations and Data Items

Collections