Gaussian distribution

Storyboard

In the limit of similar probabilities the binomial distribution is reduced in the continuous limit to the Gaussean distribution.

>Model

ID:(1556, 0)



Example comparison with Gaussian distribution

Image

If we study the binomial distribution for large numbers N and probabilities around 1/2

$P(x)=\displaystyle\frac{1}{\sqrt{2\pi\sigma^2}}e^{-(x-\mu)^2/2\sigma^2}$



which is represented below:

ID:(7793, 0)



Gaussian distribution

Model

In the limit of similar probabilities the binomial distribution is reduced in the continuous limit to the Gaussean distribution.

Variables

Symbol
Text
Variable
Value
Units
Calculate
MKS Value
MKS Units
$\sigma$
sigma
Desviación estándar de Gauss
-
$n$
n
Number
-
$q$
q
Número de pasos hacia la derecha
-
$n_1$
n_1
Número de pasos hacia la izquierda
-
$N$
N
Número total de pasos
-
$n$
n
Número totales de pasos a la izquierda
-
$u$
u
Parameter $u$
-
$s$
s
Posición camino aleatorio
m
$\mu$
mu
Posición media
m
$P_N(m)$
P_Nm
Probabilidad de $n_1$ de $N$ pasos hacia la izquierda
-
$p$
p
Probabilidad de pasos hacia la izquierda
-
$a$
a
Step size
m

Calculations


First, select the equation:   to ,  then, select the variable:   to 

Symbol
Equation
Solved
Translated

Calculations

Symbol
Equation
Solved
Translated

 Variable   Given   Calculate   Target :   Equation   To be used



Equations


Examples

If we study the binomial distribution for large numbers N and probabilities around 1/2

$P(x)=\displaystyle\frac{1}{\sqrt{2\pi\sigma^2}}e^{-(x-\mu)^2/2\sigma^2}$



which is represented below:

(ID 7793)


ID:(1556, 0)