Difference between revisions of "Manuals/calci/NORMINV"

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(Created page with "<div id="6SpaceContent" class="zcontent" align="left"> '''NORMINV'''('''p''','''m''','''sd''') '''Where p'''  is a probability corresponding to the normal distribution ...")
 
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<div style="font-size:30px">'''NORMINV(prob,m,sd)'''</div><br/>
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*<math>prob</math>  is the probability  corresponding to the normal distribution,<math>m</math> is the mean , and <math>sd</math> is the standard deviation.
  
'''NORMINV'''('''p''','''m''','''sd''')
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==Description==
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*This function gives the inverse of the normal cumulative distribution for the particular mean and standard deviation.
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*If <math>NORMDIST(x,m,sd,TRUE)=prob</math>, then <math>NORMINV(prob,m,sd)=x</math>.
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*<math>NORMINV</math> 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.
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*In <math>NORMINV(prob,m,sd)</math>, where <math>prob</math> is the corresponding probability of the normal distribution, <math>m</math> is the arithmetic mean of the normal distribution and <math>sd</math> is the standard deviation of the normal distribution.
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*This function will return the result as error when
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1. any one of the argument is nonnumeric
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2.Suppose prob<0 or prob>1
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3.sd<=0.
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*If m=0 and sd=1,NORMINV uses the standard normal distribution.
  
'''Where p'''  is a probability corresponding to the normal distribution and  m  is the arithmetic mean of the distribution and '''sd'''  is the standard deviation of the distribution.
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==Examples==
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#NORMINV(0.01884908749,17.4,3.2)=10.750011
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#NORMINV(0.998742,5.4,2.3)=12.349244172
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#NORMINV(1,7.2,2.3)=NULL
  
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==See Also==
----
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*[[Manuals/calci/NORMDIST  | NORMDIST ]]
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*[[Manuals/calci/NORMSDIST  | NORMSDIST ]]
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*[[Manuals/calci/NORMSINV  | NORMSINV ]]
  
It calculates  the inverse of the normal cumulative distribution for the specified mean and standard deviation.
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==References==
 
 
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·          NORMINV displays error for the nonnumeric argument.
 
 
 
·          When p&lt;0 or &gt; 1 , NORMINV displays error.
 
 
 
·          When sd &lt;= 0, NORMINV shows error.
 
 
 
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NORMINV
 
 
 
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<font size="3"><font face="Times New Roman">Let’s see an example in (Column1 Row 1, Column1Row2, Column1Row3)</font></font>
 
 
 
<font size="3">i.e.=NORMINV(C1R1,C1R2,C1R3)</font>
 
 
 
<font size="3"><nowiki>=NORMINV(0.808789,30,0.5) is 30.4367</nowiki></font>
 
 
 
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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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{| id="TABLE1" class="SpreadSheet blue"
 
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| Column1
 
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| class="    " | Column3
 
| class="  " |
 
| class="  " | Column4
 
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|- class="odd"
 
| class=" " | Row1
 
| class="sshl_f" | 0.808789
 
| class="sshl_f" |
 
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| class="sshl_f" |
 
| class="sshl_f" |
 
|
 
|- class="even"
 
| class="  " | Row2
 
| class="sshl_f" | 30
 
| class="sshl_f" |
 
| class="sshl_f" |
 
| class="sshl_f" |
 
| class="sshl_f" |
 
|
 
|- class="odd"
 
| Row3
 
| class="sshl_f" | 0.5
 
| class="sshl_f" |
 
| class="sshl_f" |
 
| class="  " |
 
| class="sshl_f" |
 
|
 
|- class="even"
 
| Row4
 
| class="sshl_f" | 30.4367
 
| class="sshl_f" |
 
|
 
| class=" " |
 
| class="sshl_f" |
 
|
 
|- class="odd"
 
| class="sshl_f" | Row5
 
| class="sshl_f " |
 
| class="  " |
 
|
 
|
 
| class=" SelectTD SelectTD" |
 
<div id="5Space_Handle" title="Click and Drag to resize CALCI Column/Row/Cell. It is EZ!"></div><div id="5Space_Copy" title="Click and Drag over to AutoFill other cells."></div>
 
|
 
|- class="even"
 
| class=" " | Row6
 
| class="sshl_f" |
 
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<div align="left"></div>''''''</div></div>
 
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Revision as of 04:49, 1 January 2014

NORMINV(prob,m,sd)


  • is the probability corresponding to the normal distribution, is the mean , and is the standard deviation.

Description

  • This function gives the inverse of the normal cumulative distribution for the particular mean and standard deviation.
  • If , then .
  • 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.
  • In , where is the corresponding probability of the normal distribution, is the arithmetic mean of the normal distribution and is the standard deviation of the normal distribution.
  • This function will return the result as error when
1. any one of the argument is nonnumeric
2.Suppose prob<0 or prob>1
3.sd<=0.
  • If m=0 and sd=1,NORMINV uses the standard normal distribution.

Examples

  1. NORMINV(0.01884908749,17.4,3.2)=10.750011
  2. NORMINV(0.998742,5.4,2.3)=12.349244172
  3. NORMINV(1,7.2,2.3)=NULL

See Also

References