Difference between revisions of "Manuals/calci/CHIINV"
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− | <div style="font-size:30px">'''CHIINV(probability, | + | <div style="font-size:30px">'''CHIINV (probability,degrees_freedom,Accuracy,DivisionDepthArray)'''</div><br/> |
*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 | ||
− | *<math> | + | *<math>degrees freedom</math> is the number of Degrees of Freedom. |
+ | *<math>Accuracy</math> is the correct decimal places of the result. | ||
+ | **CHIINV(), returns the inverse of the one-tailed probability of the chi-squared distribution. | ||
+ | |||
==Description== | ==Description== | ||
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*The <math>\chi^2</math> static used to compare the observed value in each table to the value which would be the expected under the assumption. | *The <math>\chi^2</math> static used to compare the observed value in each table to the value which would be the expected under the assumption. | ||
*If <math>X</math> has the chi-squared distribution with n degrees of freedom, then according to the definition, <math>\frac{1}{X}</math> has the Inverse-chi-squared distribution with <math>n</math> degrees of freedom; | *If <math>X</math> has the chi-squared distribution with n degrees of freedom, then according to the definition, <math>\frac{1}{X}</math> has the Inverse-chi-squared distribution with <math>n</math> degrees of freedom; | ||
− | *If <math>CHIDIST( | + | *If <math>CHIDIST (Number,DegreeOfFreedom)=probability</math>, then <math>CHIINV (probability,degrees freedom,Accuracy,DivisionDepthArray)= Number</math>. |
*CHIINV use 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. | *CHIINV use 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. | ||
*This function will give the error result when | *This function will give the error result when | ||
1.Any one of the arguments are non-numeric | 1.Any one of the arguments are non-numeric | ||
− | 2. | + | 2.degrees freedom value is not an integer |
− | 3. | + | 3.degrees freedom < 1 or degrees freedom><math>10^{10}</math> |
− | 4.Also | + | 4.Also probability < 0 or probability>1. |
==ZOS== | ==ZOS== | ||
− | *The syntax is to calculate CHIINV in ZOS is <math>CHIINV(probability, | + | *The syntax is to calculate CHIINV in ZOS is <math>CHIINV (probability,degrees_freedom,Accuracy,DivisionDepthArray)</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 | ||
− | **<math> | + | **<math>degrees freedom</math> is the number of Degrees of Freedom |
*For e.g.,CHIINV(0.0257,3) | *For e.g.,CHIINV(0.0257,3) | ||
{{#ev:youtube|sfB2dLFPu1U|280|center|Inverse Chi-Squared Distribution}} | {{#ev:youtube|sfB2dLFPu1U|280|center|Inverse Chi-Squared Distribution}} | ||
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#CHIINV(0.2547876,5) = 6.5669999999999655 | #CHIINV(0.2547876,5) = 6.5669999999999655 | ||
#CHIINV(0.157299207050,1) = 1.9991000000000005 | #CHIINV(0.157299207050,1) = 1.9991000000000005 | ||
− | #CHIINV(0.6785412,-1) = | + | #CHIINV(0.6785412,-1) = #N/A (DEGREESOFFREEDOM < 1) |
==Related Videos== | ==Related Videos== | ||
Line 41: | Line 44: | ||
==References== | ==References== | ||
[http://en.wikipedia.org/wiki/Inverse-chi-squared_distribution| Inverse-chi-squared Distribution] | [http://en.wikipedia.org/wiki/Inverse-chi-squared_distribution| Inverse-chi-squared Distribution] | ||
+ | |||
+ | |||
+ | |||
+ | *[[Z_API_Functions | List of Main Z Functions]] | ||
+ | |||
+ | *[[ Z3 | Z3 home ]] |
Latest revision as of 03:22, 25 August 2020
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.
- CHIINV(), 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.degrees freedom value is not an integer 3.degrees freedom < 1 or degrees freedom> 4.Also probability < 0 or probability>1.
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) = #N/A (DEGREESOFFREEDOM < 1)
Related Videos
See Also
References
Inverse-chi-squared Distribution