/* nag_univar_ci_binomial (g07aac) Example Program.
*
* Copyright 2023 Numerical Algorithms Group.
*
* Mark 29.1, 2023.
*/
#include <nag.h>
#include <stdio.h>
int main(void) {
/* Scalars */
double clevel, phat, pl, pu;
Integer exit_status = 0, k, n;
NagError fail;
INIT_FAIL(fail);
printf("nag_univar_ci_binomial (g07aac) Example Program Results\n");
/* Skip heading in data file */
scanf("%*[^\n] ");
printf("\n");
printf(" Probability Confidence Interval\n");
printf("\n");
while (scanf("%" NAG_IFMT "%" NAG_IFMT "%lf%*[^\n] ", &n, &k, &clevel) != EOF)
{
phat = (double)k / (double)n;
/* nag_univar_ci_binomial (g07aac).
* Computes confidence interval for the parameter of a
* binomial distribution
*/
nag_univar_ci_binomial(n, k, clevel, &pl, &pu, &fail);
if (fail.code != NE_NOERROR) {
printf("Error from nag_univar_ci_binomial (g07aac).\n%s\n", fail.message);
exit_status = 1;
goto END;
}
printf("%10.4f ( %6.4f , %6.4f )\n", phat, pl, pu);
}
END:
return exit_status;
}