Difference between revisions of "LogNormal Command"

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m (Text replace - ";(.*)\[(.*)\]" to ";$1($2)")
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<noinclude>{{Manual Page|version=5.0}}</noinclude>{{command|probability}}
 
<noinclude>{{Manual Page|version=5.0}}</noinclude>{{command|probability}}
 
;LogNormal( <Mean>, <Standard Deviation>, x )
 
;LogNormal( <Mean>, <Standard Deviation>, x )
:Creates probability density function (pdf) of [[w:Log-normal distribution|log-normal distribution]] with parameters mean ''μ'' and standard deviation ''σ''.
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:Creates cumulative density function (cdf) of [[w:Log-normal distribution|log-normal distribution]] with parameters mean ''μ'' and standard deviation ''σ''.
 
;LogNormal( <Mean>, <Standard Deviation>, x, <Boolean Cumulative> )
 
;LogNormal( <Mean>, <Standard Deviation>, x, <Boolean Cumulative> )
 
:If ''Cumulative'' is true, creates cumulative density function of log-normal distribution, otherwise creates pdf of log-normal distribution.
 
:If ''Cumulative'' is true, creates cumulative density function of log-normal distribution, otherwise creates pdf of log-normal distribution.

Latest revision as of 10:18, 30 July 2019


LogNormal( <Mean>, <Standard Deviation>, x )
Creates cumulative density function (cdf) of log-normal distribution with parameters mean μ and standard deviation σ.
LogNormal( <Mean>, <Standard Deviation>, x, <Boolean Cumulative> )
If Cumulative is true, creates cumulative density function of log-normal distribution, otherwise creates pdf of log-normal distribution.
LogNormal( <Mean>, <Standard Deviation>, <Variable Value> )
Calculates the value of cumulative distribution function of log-normal distribution at variable value v, i.e. the probability P(X ≤ v) where X is a random variable with log-normal distribution given by parameters mean μ and standard deviation σ.
Note: Returns the probability for a given x-coordinate's value (or area under the log-normal distribution curve to the left of the given x-coordinate).
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