Difference between revisions of "Manuals/calci/NORMSINV"

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<div style="font-size:30px">'''NORMSINV (Probability)'''</div><br/>
 
<div style="font-size:30px">'''NORMSINV (Probability)'''</div><br/>
 
*<math>Probability</math> is the value of the Probability.
 
*<math>Probability</math> is the value of the Probability.
 +
 +
**NORMSINV(),returns the inverse of the standard normal cumulative distribution.
  
 
==Description==
 
==Description==
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*In <math>NORMSINV (Probability)</math>, where <math>Probability</math> is the probability value of the Standard Normal Cumulative Distribution.
 
*In <math>NORMSINV (Probability)</math>, where <math>Probability</math> 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.<math>Probability</math> is non-numeric.
+
  1.Probability is non-numeric.
  2.<math>Probability<0</math> or <math>Probability>1</math>.
+
  2.Probability<0 or Probability>1.
  
 
==Examples==
 
==Examples==

Revision as of 18:21, 14 June 2018

NORMSINV (Probability)


  • is the value of the Probability.
    • NORMSINV(),returns the inverse of the standard normal cumulative distribution.

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 is the probability value of the Standard Normal Cumulative Distribution.
  • This function will return the result as error when
1.Probability is non-numeric.
2.Probability<0 or Probability>1.

Examples

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

Related Videos

NORMSINV

See Also

References

Normal Distribution