# 3.5.3.3 Inverse of Cumulative Distribution Functions (INV)

Name Brief Example
Chi2inv Computes the inverse of the $\chi^2$ cdf for the corresponding probabilities in $X$ with parameters specified by $\nu$.
Ftable The F distribution function with m and n degrees of freedom. Example
Finv Computes the inverse of $F$ cdf at $x$, with parameters $\nu_1$ and $\nu_2$ .
Gaminv Computes the inverse of Gamma cdf at $g_p$ , with parameters $a$ and $b$.
IncF The incomplete F-table function.
InvF The inverse F distribution function with m and n degrees of freedom. Example
InvErf Computes inverse error function fnction at x.
Invprob The Inverse Probability Density function. Example
Invt The inverse t distribution function with n degrees of freedom. Example
Logninv Computes the deviate, $x_p$, associated with the given lower tail probability, $p$, of the Lognormal distribution using the parameters $\mu$ and $\sigma$.
Norminv Computes the deviate, $x_p$, associated with the given lower tail probability, $p$, of the standardized normal distribution.
Srangeinv Computes the deviate, $x_p$, associated with the lower tail probability of the distribution of the Studentized range statistic.
Ttable The Student's t distribution with n degrees of freedom. Example
Tinv Computes the deviate associated with the lower tail probability of Student's t-distribution with real degrees of freedom.
Wblinv Computes the inverse Weibull cumulative distribution function for the given probability using the parameters a and b.
Betainv Returns the inverse of the cumulative distribution function for a specified beta distribution. Example