F inverse cumulative distribution function
X = finv(P,V1,V2)
X = finv(P,V1,V2) computes
the inverse of the F cdf with numerator degrees
V1 and denominator degrees of freedom
the corresponding probabilities in
V2 can be vectors, matrices, or multidimensional
arrays that all have the same size. A scalar input is expanded to
a constant array with the same dimensions as the other inputs.
V2 parameters must
contain real positive values, and the values in
lie on the interval [0 1].
The F inverse function is defined in terms of the F cdf as
Find a value that should exceed 95% of the samples from an F distribution with 5 degrees of freedom in the numerator and 10 degrees of freedom in the denominator.
x = finv(0.95,5,10) x = 3.3258
You would observe values greater than 3.3258 only 5% of the time by chance.