Difference between revisions of "CumFDistInv"
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[[Category:Doc Status D]] <!-- For Lumina use, do not change --> | [[Category:Doc Status D]] <!-- For Lumina use, do not change --> | ||
− | = CumFDistInv(p,dof1,dof2) = | + | == CumFDistInv(p, dof1, dof2) == |
+ | The inverse cumulative density for the F-distribution with degrees of freedom «dof1» and «dof2». This returns the value <code>x</code> at which the area under the probability density graph falling to the left of <code>x</code> is «p». | ||
− | The | + | The F-distribution is used in classical statistics for hypothesis testing involving the comparison of variances between two samples. |
− | + | Note that there is no '''FDist''' distribution function built into Analytica. If you want an '''FDist''', just use: | |
+ | :<code>CumFDistInv(Uniform(0, 1), dof1, dof2)</code> | ||
− | + | [[CumFDistInv]] and [[CumFDist]] are inverses, i.e., within the range of the distribution: | |
− | + | :<code>CumFDistInv(CumFDist(x, dof1, dof2), dof1, dof2) → x</code> | |
− | |||
− | CumFDistInv and CumFDist are inverses, i.e., within the range of the distribution: | ||
− | :CumFDistInv( | ||
− | |||
− | |||
+ | == Library == | ||
[[Distribution Densities Library]] ([[media:Distribution Densities.ana|Distribution Densities.ana]]) | [[Distribution Densities Library]] ([[media:Distribution Densities.ana|Distribution Densities.ana]]) | ||
= See Also = | = See Also = | ||
− | + | * [[Dens_FDist]] | |
− | * [[Dens_FDist]] | + | * [[CumFDist]] |
* [[Distribution Densities Library]] | * [[Distribution Densities Library]] |
Revision as of 18:34, 15 January 2016
CumFDistInv(p, dof1, dof2)
The inverse cumulative density for the F-distribution with degrees of freedom «dof1» and «dof2». This returns the value x
at which the area under the probability density graph falling to the left of x
is «p».
The F-distribution is used in classical statistics for hypothesis testing involving the comparison of variances between two samples.
Note that there is no FDist distribution function built into Analytica. If you want an FDist, just use:
CumFDistInv(Uniform(0, 1), dof1, dof2)
CumFDistInv and CumFDist are inverses, i.e., within the range of the distribution:
CumFDistInv(CumFDist(x, dof1, dof2), dof1, dof2) → x
Library
Distribution Densities Library (Distribution Densities.ana)
See Also
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