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21## @deftypefn {Function File} {[@var{pval}, @var{t}, @var{df}] =} t_test (@var{x}, @var{m}, @var{alt})
22## For a sample @var{x} from a normal distribution with unknown mean and
23## variance, perform a t-test of the null hypothesis @code{mean
24## (@var{x}) == @var{m}}. Under the null, the test statistic @var{t}
25## follows a Student distribution with @code{@var{df} = length (@var{x})
26## - 1} degrees of freedom.
28## With the optional argument string @var{alt}, the alternative of
29## interest can be selected. If @var{alt} is @code{"!="} or
30## @code{"<>"}, the null is tested against the two-sided alternative
31## @code{mean (@var{x}) != @var{m}}. If @var{alt} is @code{">"}, the
32## one-sided alternative @code{mean (@var{x}) > @var{m}} is considered.
33## Similarly for @var{"<"}, the one-sided alternative @code{mean
34## (@var{x}) < @var{m}} is considered. The default is the two-sided
37## The p-value of the test is returned in @var{pval}.
39## If no output argument is given, the p-value of the test is displayed.
42## Author: KH <Kurt.Hornik@wu-wien.ac.at>
43## Description: Student's one-sample t test
45function [pval, t, df] = t_test (x, m, alt)
47 if ((nargin < 2) || (nargin > 3))
52 error ("t_test: x must be a vector");
55 error ("t_test: m must be a scalar");
60 t = sqrt (n) * (sum (x) / n - m) / std (x);
68 error ("t_test: alt must be a string");
70 if (strcmp (alt, "!=") || strcmp (alt, "<>"))
71 pval = 2 * min (cdf, 1 - cdf);
72 elseif strcmp (alt, ">")
74 elseif strcmp (alt, "<")
77 error ("t_test: option %s not recognized", alt);
81 printf (" pval: %g\n", pval);