Difference between revisions of "Manuals/calci/FINV"

Revision as of 14:08, 8 May 2015

FINV(prob,df1,df2)

This function gives the inverse of the F-distribution.
If $FDIST(x,df_{1},df_{2})=prob$ , then $NORMSINV(prob,df_{1},df_{2})=x$ .FINV using the iterating method to find the value of x.
Suppose the iteration has not converged after 100 searches, then the function gives the error result.
FINV can be used to return critical values from the F distribution
The calculation of analysis of variance includes the data for F probability for the significance level 0.05.
When the value of $df_{1}$ and $df_{2}$ are not integers ,then it is converted in to integers.
This function will return the result as error when
1. any one of the argument is nonnumeric.
2.prob<0 or prob>1.
3. $df_{1}$ or $df_{2}<1$ ,and $df_{1}$ or $df_{2}>=10^{10}$

@@ Line 5: / Line 5: @@
 ==Description==
 *This function gives the inverse of the F-distribution.
-*If FDIST(x,df1,df2)=prob, then NORMSINV(prob,df1,df2)=x.FINV using the iterating method to find the value of x.
+*If <math>FDIST(x,df_1,df_2)=prob</math>, then <math>NORMSINV(prob,df_1,df_2)=x</math>.FINV using the iterating method to find the value of x.
 *Suppose the iteration has not converged after 100 searches, then the function gives the error result.
 *FINV can be used to return critical values from the F distribution
 *The calculation of analysis of variance includes the data for F probability for the significance level 0.05.
-*When the value of df1 and df2 are not integers ,then it is converted in to integers.
+*When the value of <math>df_1</math> and <math>df_2</math> are not integers ,then it is converted in to integers.
 *This function will return the result as error  when
 *1. any one of the argument is nonnumeric.
 *2.prob<0 or prob>1.
-*3.<math>df_1</math> or <math>df_2<1</math> ,and  <math>df_1</math> or <math>df_2>=10^10</math>
+*3.<math>df_1</math> or <math>df_2<1</math> ,and  <math>df_1</math> or <math>df_2>=10^{10}</math>
 ==Examples==