var_append_value_name (is->gvar, is->gval1, &vallab1);
}
+ tab_vline (t, TAL_1, 1, heading_rows, rows - 1);
+
for (v = 0; v < tt->n_vars; ++v)
{
int i;
_("%g%% Confidence Interval of the Difference"),
tt->confidence * 100.0);
+ tab_vline (t, TAL_1, 1, heading_rows, rows - 1);
+
for (v = 0; v < tt->n_vars; ++v)
{
double df, pooled_variance, mean_diff, tval;
tab_double (t, 6, v * 2 + heading_rows, TAB_RIGHT, 2.0 * (tval > 0 ? q : p), NULL);
tab_double (t, 7, v * 2 + heading_rows, TAB_RIGHT, mean_diff, NULL);
- std_err_diff = sqrt ((sigma0 / cc0) + (sigma1 / cc1));
+ std_err_diff = sqrt (pooled_variance * (1.0/cc0 + 1.0/cc1));
tab_double (t, 8, v * 2 + heading_rows, TAB_RIGHT, std_err_diff, NULL);
/* Equal variances not assumed */
tab_text (t, 1, v * 2 + heading_rows + 1, TAB_LEFT, _("Equal variances not assumed"));
+ std_err_diff = sqrt ((sigma0 / cc0) + (sigma1 / cc1));
se2 = sigma0 / cc0 + sigma1 / cc1;
tval = mean_diff / sqrt (se2);