// SPDX-License-Identifier: WTFPL

/*
 * Cohen's dの計算。比較する集合のサンプル数は等しいものとする。
 * 参考文献:
 *	https://en.wikipedia.org/wiki/Effect_size#Cohen.27s_d
 *	http://www.mizumot.com/method/mizumoto-takeuchi.pdf
 *	http://www.socscistatistics.com/effectsize/Default3.aspx
 */

#include <stdio.h>
#include <math.h>

static double	calc_cohens_d(double u1, double s1, double u2, double s2)
{
	/* 変動係数の二乗を計算 (CV = sd / mean) */
	double cv1_sq = (s1 * s1) / (u1 * u1);
	double cv2_sq = (s2 * s2) / (u2 * u2);

	/* 変動係数を使用して分散を対数化 (σy^2 = ln(1 + CV^2) */
	double v1_sq = log(1.0 + cv1_sq);
	double v2_sq = log(1.0 + cv2_sq);

	/* 平均を対数化 (μy = ln(mean) - (σy^2 / 2)) */
	double mu1 = log(u1) - (v1_sq / 2.0);
	double mu2 = log(u2) - (v2_sq / 2.0);

	/* cohen's dの算出 */
	return (mu1 - mu2) / sqrt((v1_sq + v2_sq) / 2.0);
}

int main(int argc, char *argv[])
{
	char	name[256];
	double	d1, mean1_1, sd1_1, mean1_2, sd1_2;
	double	d2, mean2_1, sd2_1, mean2_2, sd2_2;

	/* d1:(集合1-1, 集合1-2) d2:(集合2-1, 集合2-2) を計算 */
	while (scanf("%s %lf %lf %lf %lf %lf %lf %lf %lf", name,
		     &mean1_1, &sd1_1, &mean1_2, &sd1_2,
		     &mean2_1, &sd2_1, &mean2_2, &sd2_2) != EOF) {
		d1 = calc_cohens_d(mean1_1, sd1_1, mean1_2, sd1_2);
		d2 = calc_cohens_d(mean2_1, sd2_1, mean2_2, sd2_2);
		printf("%s	%f	%f\n", name, d1, d2);
	}

	return 0;
}