# Difference between revisions of "Manuals/calci/FDIST"

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When the value of df1 and df2 are not integers ,then it is converted in to integers. | When the value of df1 and df2 are not integers ,then it is converted in to integers. | ||

*This function will give the result as error when | *This function will give the result as error when | ||

− | 1. any one of the argument is | + | 1. any one of the argument is non-numeric. |

− | 2.x is negative | + | 2. <math>x</math> is negative |

− | 3. df1 or df2<1 | + | 3. <math>df1</math> or <math>df2<1</math> and <math>df1</math> or <math>df2\ge 10^{10}</math> |

==Examples== | ==Examples== |

## Revision as of 00:24, 8 January 2014

**FDIST(x,df1,df2)**

- is the value of the function
- and is degrees of freedom.

## Description

- This function gives the value of F probability distribution.
- This distribution is continuous probability distribution and it is called Fisher-Snedecor distribution.
- The F distribution is an asymmetric distribution that has a minimum value of 0, but no maximum value.
- In is the value of the function , is the numerator degrees of freedom and is the denominator degrees of freedom.
- This distribution is the ratio of two chi-square distributions with degrees of freedom r1 and r2, respectively, where each chi-square has first been divided by its degrees of freedom.
- The Probability density function of the F distribution is:

where is the Gamma Function.

- The gamma function is defined by .

When the value of df1 and df2 are not integers ,then it is converted in to integers.

- This function will give the result as error when

1. any one of the argument is non-numeric. 2. is negative 3. or and or

## Examples

- FDIST(20.6587,7,3)=0.01526530981
- FDIST(70.120045,12.2,6.35)=0.000011229898
- FDIST(10,1.3,1.5)=0.134947329626
- FDIST(-28,4,6)=NAN

## See Also