Difference between revisions of "ChiSquared Command"

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: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.
 
: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).}}
 
:{{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).}}
:{{example|1=<div><code><nowiki>ChiSquared[4, 3]</nowiki></code> yields <math>\gamma(2, \frac{3}{2})</math>, which is approximately ''0.44''.</div>}}
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:{{example|1=<code><nowiki>ChiSquared(4, 3)</nowiki></code> yields <math>\gamma(2, \frac{3}{2})</math>, which is approximately ''0.44''.}}

Revision as of 11:10, 11 October 2017


ChiSquared( <Degrees of Freedom>, x )
Creates probability density function (pdf) of Chi squared distribution with the appropriate degrees of freedom.
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.
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).
Example: ChiSquared(4, 3) yields \gamma(2, \frac{3}{2}), which is approximately 0.44.
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