Difference between revisions of "Manuals/calci/FINV"

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(Created page with "<div id="6SpaceContent" class="zcontent" align="left">  '''FINV'''('''prob''','''DF1''','''DF2''') '''Where prob''' is a probability associated with the F cumulative d...")
 
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<div style="font-size:30px">'''FINV(prob,df1,df2)'''</div><br/>
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*<math>prob</math>  is the associated value of F distribution 
 +
*<math> df1</math> and <math> df2</math>is the degrees of freedom.
  
'''FINV'''('''prob''','''DF1''','''DF2''')
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==Description==
 
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*This function gives the inverse of the F-distribution.
'''Where prob''' is a probability associated with the F cumulative distribution.
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*If FDIST(x,df1,df2)=prob, then NORMSINV(prob,df1,df2)=x.FINV using the iterating method to find the value of x.
 
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*Suppose the iteration has not converged after 100 searches, then the function gives the error result.
'''DF1'''  is the numerator degrees of freedom and '''DF2''' is the denominator degrees of freedom.
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*FINV can be used to return critical values from the F distribution
 
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*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.This function will return the result as error  when 1. any one of the argument is nonnumeric.
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2.prob<0 or prob>1.
----
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3. df1 or df2<1 ,and  df1 ordf2>=10^10
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where  , and df2 '''FINV'''('''prob''','''DF1''','''DF2''')
 
 
This function returns the inverse of the F probability distribution.
 
 
 
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·          Arguments should be numeric.
 
 
 
·          Prob must be between 0 and 1
 
 
 
·          When DF1is less than 1 or DF1is less than or equal to 10^10, and  DF2 is less than 1 or DF2 is less than or equal to 10^10, FINV shows error value.
 
 
 
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<div id="12SpaceContent" class="zcontent" align="left"><div class="ZEditBox" align="left">
 
 
 
FINV
 
 
 
</div></div>
 
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<div id="10SpaceContent" class="zcontent" align="left"><div class="ZEditBox" align="justify">Syntax </div><div class="ZEditBox"><center></center></div></div>
 
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<div id="4SpaceContent" class="zcontent" align="left"><div class="ZEditBox" align="justify">Remarks </div></div>
 
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<div id="3SpaceContent" class="zcontent" align="left"><div class="ZEditBox" align="justify">Examples </div></div>
 
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<div id="11SpaceContent" class="zcontent" align="left"><div class="ZEditBox" align="justify">Description </div></div>
 
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Lets see an example,
 
 
 
FINV(prob,DF1,DF2)
 
 
 
'''B'''
 
 
 
0.01
 
 
 
8
 
 
 
6
 
 
 
<nowiki>=FINV(B2,B3,B4)</nowiki>
 
 
 
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{| id="TABLE3" class="SpreadSheet blue"
 
|- class="even"
 
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| class="  " | Column1
 
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| class="  " | Column3
 
| class="                                                          " |
 
|- class="odd"
 
| class=" " | Row1
 
| class=" " | 0.01
 
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| class=" " | 8
 
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| class="    " |
 
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|- class="odd"
 
| class=" " | Row5
 
| class="sshl_f" |
 
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| class=" " |
 
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|- class="even"
 
| class="sshl_f" | Row6
 
| class="sshl_f" |
 
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<div align="left">[[Image:calci1.gif]]</div></div>
 
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Revision as of 04:27, 7 January 2014

FINV(prob,df1,df2)


  • is the associated value of F distribution
  • and is the degrees of freedom.

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.
  • 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.This function will return the result as error when 1. any one of the argument is nonnumeric.

2.prob<0 or prob>1. 3. df1 or df2<1 ,and df1 ordf2>=10^10

where  ,  and df2 FINV(prob,DF1,DF2)