Difference between revisions of "Manuals/calci/CHIINV"
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*<math>degrees freedom</math> is the number of Degrees of Freedom. | *<math>degrees freedom</math> is the number of Degrees of Freedom. | ||
*<math>Accuracy</math> is the correct decimal places of the result. | *<math>Accuracy</math> is the correct decimal places of the result. | ||
− | *Returns the inverse of the one-tailed probability of the chi-squared distribution | + | **Returns the inverse of the one-tailed probability of the chi-squared distribution |
Revision as of 15:25, 14 June 2018
CHIINV (probability,degrees_freedom,Accuracy,DivisionDepthArray)
- Where is the value associated with the Chi-squared Distribution
- is the number of Degrees of Freedom.
- is the correct decimal places of the result.
- Returns the inverse of the one-tailed probability of the chi-squared distribution
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)
Examples
- CHIINV(0.0001234098,2) = 18
- CHIINV(0.2547876,5) = 6.5669999999999655
- CHIINV(0.157299207050,1) = 1.9991000000000005
- CHIINV(0.6785412,-1) = NAN
Related Videos
See Also
References
Inverse-chi-squared Distribution