CHIINV(prob,df)
- Where 'prob' is theprobability value associated with the chisquared distribution and 'df' 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 distributionand it is a continuous probability distribution of a positive-valued random variable.
- In CHIINV(prob,df) where prob is the probability value associated with the chisquared distribution and df is the degrees of freedom.
- Degrees of freedom=(r-1)(c-1).
- The X^2 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
- 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