Difference between revisions of "ChiSquared Command"

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<noinclude>{{Manual Page|version=4.2}}</noinclude>
 
<noinclude>{{Manual Page|version=4.2}}</noinclude>
 
{{command|cas=true|probability}}
 
{{command|cas=true|probability}}
;ChiSquared[ <Degrees of Freedom d>, x ]
+
;ChiSquared[ <Degrees of Freedom>, x ]
:Creates probability density function (pdf) of [[w:Chi-square distribution|Chi squared distribution]] with ''d'' degrees of freedom.
+
:Creates probability density function (pdf) of [[w:Chi-square distribution|Chi squared distribution]] with the appropriate degrees of freedom.
 +
;ChiSquared[ <Degrees of Freedom>, <Variable Value> ]
 +
:Calculates the value of cumulative distribution function of Chi squared distribution at ''Variable Value'' ''v'', i.e. the probability ''P(X ≤ v)'' where ''X'' is a random variable with Chi squared distribution with the appropriate degrees of freedom.
 +
:{{note| Returns the probability for a given ''x''-coordinate's value (or area under the Chi squared distribution curve to the left of the given ''x''-coordinate).}}
 
;ChiSquared[ <Degrees of Freedom>, x, <Boolean Cumulative> ]
 
;ChiSquared[ <Degrees of Freedom>, x, <Boolean Cumulative> ]
:If ''Cumulative'' is true, creates cumulative distribution function of Chi squared distribution, otherwise creates pdf of Chi squared distribution.
+
:If the logical value is ''true'', creates cumulative distribution function of Chi squared distribution, otherwise creates pdf of Chi squared distribution.
;ChiSquared[ <Degrees of Freedom d>, <Variable Value v> ]
 
:Calculates the value of cumulative distribution function of Chi squared distribution at ''v'', i.e. the probability ''P(X≤v)'' where ''X'' is a random variable with Chi squared distribution with ''d'' degrees of freedom.
 
:{{note| Returns the probability for a given ''x''-coordinate's value (or area under the Chi squared distribution curve to the left of the given ''x''-coordinate).}}
 
 
==CAS Syntax==
 
==CAS Syntax==
;ChiSquared[ <Degrees of Freedom d>, <Variable Value v> ]
+
;ChiSquared[ <Degrees of Freedom>, <Variable Value> ]
:Calculates the value of cumulative distribution function (cdf) of Chi squared distribution at ''v'', i.e. the probability ''P(X≤v)'' where ''X'' is a random variable with Chi squared distribution with ''d'' degrees of freedom.
+
:Calculates the value of cumulative distribution function (cdf) of Chi squared distribution at ''Variable Value'' ''v'', i.e. the probability ''P(X ≤ v)'' where ''X'' is a random variable with Chi squared distribution with the appropriate degrees of freedom.
 
:{{example|1=<div><code><nowiki>ChiSquared[4, 3]</nowiki></code> yields <math>\gamma(2, \frac{3}{2})</math>, which is approximately ''0.44''.</div>}}
 
:{{example|1=<div><code><nowiki>ChiSquared[4, 3]</nowiki></code> yields <math>\gamma(2, \frac{3}{2})</math>, which is approximately ''0.44''.</div>}}

Revision as of 12:42, 26 April 2013



ChiSquared[ <Degrees of Freedom>, x ]
Creates probability density function (pdf) of Chi squared distribution with the appropriate degrees of freedom.
ChiSquared[ <Degrees of Freedom>, <Variable Value> ]
Calculates the value of cumulative distribution function of Chi squared distribution at Variable Value v, i.e. the probability P(X ≤ v) where X is a random variable with Chi squared distribution with the appropriate degrees of freedom.
Note: Returns the probability for a given x-coordinate's value (or area under the Chi squared distribution curve to the left of the given x-coordinate).
ChiSquared[ <Degrees of Freedom>, x, <Boolean Cumulative> ]
If the logical value is true, creates cumulative distribution function of Chi squared distribution, otherwise creates pdf of Chi squared distribution.

CAS Syntax

ChiSquared[ <Degrees of Freedom>, <Variable Value> ]
Calculates the value of cumulative distribution function (cdf) of Chi squared distribution at Variable Value v, i.e. the probability P(X ≤ v) where X is a random variable with Chi squared distribution with the appropriate degrees of freedom.
Example:
ChiSquared[4, 3] yields \gamma(2, \frac{3}{2}), which is approximately 0.44.
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