Difference between revisions of "Manuals/calci/FDIST"
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<math>f(x,r_1,r_2)=\frac{\Gamma[\frac{r_1+r_2}{2}](\frac{r_1}{r_2})^{\tfrac{r_1}{2}}}{ \Gamma(\frac{r_1}{2})\Gamma(\frac{r_2}{2})}*\frac{(x)^{\tfrac{r_1}{2}-1}}{(\frac{1+r_1x}{r_2})^{\tfrac{r_1+r_2}{2}}}</math> | <math>f(x,r_1,r_2)=\frac{\Gamma[\frac{r_1+r_2}{2}](\frac{r_1}{r_2})^{\tfrac{r_1}{2}}}{ \Gamma(\frac{r_1}{2})\Gamma(\frac{r_2}{2})}*\frac{(x)^{\tfrac{r_1}{2}-1}}{(\frac{1+r_1x}{r_2})^{\tfrac{r_1+r_2}{2}}}</math> | ||
<math>0<x<\infty</math> where <math>\Gamma</math> is the Gamma Function. | <math>0<x<\infty</math> where <math>\Gamma</math> is the Gamma Function. | ||
− | *The gamma function is defined by <math>\Gamma(t) = \int\limits_{0}^{infty} x^{t-1} e^{-x} dx</math>. | + | *The gamma function is defined by <math>\Gamma(t) = \int\limits_{0}^{\infty} x^{t-1} e^{-x} dx</math>. |
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 |
Revision as of 00:20, 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 nonnumeric. 2.x is negative 3. df1 or df2<1 ,and df1 ordf2>=10^10
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