표 16 사후분석결과(다중비교)

구분			평균 차이(I–J)	표준 오차	유의수준
자율주행ab>cDunnettT3	a	b	–.0532	.3575	.998
	a	c	.8659^*	.3272	.026
	b	a	.0532	.3575	.998
	b	c	.9191^*	.3270	.016
	c	a	–.8659^*	.3272	.026
	c	b	–.9191^*	.3270	.016
빅 데이터ab>cDunnettT3	a	b	.2864	.1902	.349
	a	c	.9883^*	.2114	.000
	b	a	–.2864	.1902	.349
	b	c	.7019^*	.2231	.006
	c	a	–.9883^*	.2114	.000
	c	b	–.7019^*	.2231	.006
모바일/클라우드ab>c Scheffe	a	b	–.0563	.2796	.980
	a	c	.6117	.2733	.083
	b	a	.0563	.2796	.980
	b	c	.6680^*	.2541	.033
	c	a	–.6117	.2733	.083
	c	b	–.6680^*	.2541	.033
드론ab>c Scheffe	a	b	.1934	.2979	.810
	a	c	1.1242^*	.2912	.001
	b	a	–.1934	.2979	.810
	b	c	.9308^*	.2707	.003
	c	a	–1.1242^*	.2912	.001
	c	b	–.9308^*	.2707	.003
핀테크ab>cDunnett T3	a	b	.6543	.3368	.151
	a	c	1.0864^*	.3003	.001
	b	a	–.6543	.3368	.151
	b	c	.4320	.2878	.351
	c	a	–1.0864^*	.3003	.001
	c	b	–.4320	.2878	.351

평균 차이가 0.05 수준에서 유의합니다.