Difference between revisions of "Manuals/calci/CHIINV"
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<div style="font-size:30px">'''CHIINV(prob,df)'''</div><br/> | <div style="font-size:30px">'''CHIINV(prob,df)'''</div><br/> | ||
| − | *Where | + | *Where <math>prob</math> is the probability value associated with the Chi-squared Distribution |
| + | *<math>df</math> is the number of Degrees of Freedom | ||
==Description== | ==Description== | ||
| − | *This function gives the inverse value of | + | *This function gives the inverse value of One_tailed probability of the Chi-squared Distribution. |
| − | *It is called | + | *It is called Inverted-Chi-square Distribution and it is a Continuous Probability Distribution of a positive-valued random variable. |
| − | + | ||
| − | *Degrees of freedom=(r-1)(c-1). | + | *Degrees of freedom <math>df</math>=<math>(r-1)(c-1)</math>. |
| − | *The | + | *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 X has the chi-squared distribution with \nu degrees of freedom, then according to the first definition, 1/X has the inverse-chi-squared distribution with \nu degrees of freedom;If CHIDIST(x,df)=prob, then CHIINV(prob,df)=x. | *If X has the chi-squared distribution with \nu degrees of freedom, then according to the first definition, 1/X has the inverse-chi-squared distribution with \nu degrees of freedom;If CHIDIST(x,df)=prob, then CHIINV(prob,df)=x. | ||
*CHIINV using the iterating method to find the value of x.suppose the iteration has not converged after 100 searches, then the function gives the error result. | *CHIINV using the iterating method to find the value of x.suppose the iteration has not converged after 100 searches, then the function gives the error result. | ||
Revision as of 05:38, 3 December 2013
CHIINV(prob,df)
- Where is the probability value associated with the Chi-squared Distribution
- is the number of Degrees of Freedom
is the probability value associated with the Chi-squared Distribution
is the number of Degrees of FreedomDescription
- 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 X has the chi-squared distribution with \nu degrees of freedom, then according to the first definition, 1/X has the inverse-chi-squared distribution with \nu degrees of freedom;If CHIDIST(x,df)=prob, then CHIINV(prob,df)=x.
- CHIINV using the iterating method to find the value of x.suppose the iteration has not converged after 100 searches, then the function gives the error result.
- This function will give the error result when
.
static used to compare the observed value in each table to the value which would be the expected under the assumption.- Any one of the arguments are nonnumeric
- df value is not an integer
- The df <1or df>10^10
- Also prob<0 or prob>1.
Examples
- CHIINV(0.0001234098,2)=18
- CHIINV(0.2547876,5)=6.56699
- CHIINV(0.157299207050,1)=2
- CHIINV(0.6785412,-1)=NAN