# cdfTci¶

## Purpose¶

Computes the inverse of the complement of the Student’s t cdf.

## Format¶

x = cdfTci(p, df)
Parameters: p (NxK real matrix) – complementary Student’s t probability levels, $$0 <= p <= 1$$. df (LxM real matrix) – degrees of freedom, $$df > 1$$, df need not be an integer. ExE conformable with p. x (matrix, max(N,L) by max(K,M) real) – each value of x is the value such that the complement of the Student’s t distribution is equal to the corresponding value of p. cdfTc(x, df) =  p.

## Examples¶

// Probabilities
p = {0.1,0.25, 0.5,0.75,0.95};

// Degrees of freedom
df = 3;

x = cdfTci(p, df);


After running above code,

x =
1.6377
0.7649
0.0000
-0.7649
-2.3534