NAG Library Manual, Mark 28.5
```/* nag_stat_inv_cdf_students_t (g01fbc) Example Program.
*
* Copyright 2022 Numerical Algorithms Group.
*
* Mark 28.5, 2022.
*
*/

#include <nag.h>
#include <stdio.h>

int main(void) {
Integer exit_status = 0;
double df, p, t;
int i;
static Nag_TailProbability tail[] = {Nag_LowerTail, Nag_UpperTail,
Nag_TwoTailSignif, Nag_TwoTailConfid};
static const char *tailmess[] = {"Nag_LowerTail", "Nag_UpperTail",
"Nag_TwoTailSignif", "Nag_TwoTailConfid"};
NagError fail;

INIT_FAIL(fail);

printf("nag_stat_inv_cdf_students_t (g01fbc) Example Program Results\n\n");
/* Skip heading in data file */
scanf("%*[^\n]");
printf("    p      df          tail                  t\n\n");
while (scanf("%lf %lf %d", &p, &df, &i) != EOF)
{
/* nag_stat_inv_cdf_students_t (g01fbc).
* Deviates for Student's t-distribution
*/
t = nag_stat_inv_cdf_students_t(tail[i], p, df, &fail);
if (fail.code != NE_NOERROR) {
printf("Error from nag_stat_inv_cdf_students_t (g01fbc).\n%s\n",
fail.message);
exit_status = 1;
goto END;
}
printf("%8.3f%8.3f   %-19s  %8.3f\n", p, df, tailmess[i], t);
}

END:
return exit_status;
}
```