Difference between revisions of "Manuals/calci/NORMSINV"

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*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 <math>x</math>.
 
*Suppose the iteration has not converged after 100 searches, then the function gives the error result.
 
*Suppose the iteration has not converged after 100 searches, then the function gives the error result.
 
*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.

Revision as of 01:43, 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 .
  • 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

Normal Distribution