Difference between revisions of "Manuals/calci/CHIINV"

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  4.Also <math> prob < 0 </math> or <math>prob>1</math>.
 
  4.Also <math> prob < 0 </math> or <math>prob>1</math>.
  
==ZOS Section==
+
==ZOS==
 
*The syntax is to calculate CHIINV in ZOS is <math>CHIINV(probability,degreesoffreedom)</math>.
 
*The syntax is to calculate CHIINV in ZOS is <math>CHIINV(probability,degreesoffreedom)</math>.
 
**Where <math>probability</math> is the  value associated with the Chi-squared Distribution
 
**Where <math>probability</math> is the  value associated with the Chi-squared Distribution

Revision as of 10:12, 2 June 2015

CHIINV(probability,degreesoffreedom)


  • Where is the value associated with the Chi-squared Distribution
  • is the number of Degrees of Freedom

Description

  • This function gives the inverse value of One_tailed probability of the Chi-squared Distribution.
  • It is called Inverted-Chi-square Distribution and it is a Continuous Probability Distribution of a positive-valued random variable.
  • Degrees of freedom =.
  • The static used to compare the observed value in each table to the value which would be the expected under the assumption.
  • If has the chi-squared distribution with n degrees of freedom, then according to the definition, has the Inverse-chi-squared distribution with degrees of freedom;
  • If , then .
  • CHIINV use the iterating method to find the value of .suppose the iteration has not converged after 100 searches, then the function gives the error result.
  • This function will give the error result when
1.Any one of the arguments are non-numeric
2. value is not an integer
3.or 
4.Also  or .

ZOS

  • The syntax is to calculate CHIINV in ZOS is .
    • Where is the value associated with the Chi-squared Distribution
    • is the number of Degrees of Freedom
  • For e.g.,CHIINV(0.0257,3)
Inverse Chi-Squared Distribution

Examples

  1. CHIINV(0.0001234098,2) = 18
  2. CHIINV(0.2547876,5) = 6.5669999999999655
  3. CHIINV(0.157299207050,1) = 1.9991000000000005
  4. CHIINV(0.6785412,-1) = NAN

See Also

References

Inverse-chi-squared Distribution