Difference between revisions of "Manuals/calci/NORMSINV"

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==Description==
 
==Description==
*This function gives the inverse of the standard normal cumulative distribution.   
+
*This function gives the inverse of the Standard Normal Cumulative Distribution.   
*In normal distribution formula, when the mean is zero and the standard deviation is 1 then it is called Standard normal distribution.
+
*In Normal Distribution formula, when the Mean is zero and the Standard Deviation is 1 then it is called Standard Normal Distribution.
 
*If <math> NORMSDIST(x)=prob</math>, then <math>NORMSINV(prob)=x</math>.
 
*If <math> NORMSDIST(x)=prob</math>, then <math>NORMSINV(prob)=x</math>.
 
*<math>NORMSINV</math> using the iterating method to find the value of x.
 
*<math>NORMSINV</math> using the iterating method to find the value of x.
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*In <math>NORMSINV(prob)</math>, where prob is the probability value of the standard normal cumulative distribution.
 
*In <math>NORMSINV(prob)</math>, where prob is the probability value of the standard normal cumulative distribution.
 
*This function will return the result as error when  
 
*This function will return the result as error when  
  1.prob is nonnumeric.
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  1.<math>prob</math> is non-numeric.
  2.prob<0 or prob>1.
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  2.<math>prob<0</math> or <math>prob>1</math>.
  
 
==Examples==
 
==Examples==

Revision as of 00:11, 7 January 2014

NORMSINV(prob)


  • prob is the probability value.

Description

  • This function gives the inverse of the Standard Normal Cumulative Distribution.
  • In Normal Distribution formula, when the Mean is zero and the Standard Deviation is 1 then it is called Standard Normal Distribution.
  • 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 prob is the probability value of the standard normal cumulative distribution.
  • This function will return the result as error when
1. is non-numeric.
2. or .

Examples

  1. NORMSINV(0.9999975333)=4.567600
  2. NORMSINV(0.00241)=-2.818823592
  3. NORMSINV(1)=Null
  4. NORMSINV(0.00001)=-4.264890794


See Also

References