표 18 경력 사후분석결과(다중비교)

구분 평균 차이(I–J) 표준 오차 유의수준
자율 주행x>z Scheffe x y .7107 .3825 .180
z .8664* .3076 .020
y x –.7107 .3825 .180
z .1558 .3700 .915
z x –.8664* .3076 .020
y –.1558 .3700 .915
로봇x>z Scheffe x y .5553 .3722 .330
z .7558* .2993 .042
y x –.5553 .3722 .330
z .2005 .3601 .857
z x –.7558* .2993 .042
y –.2005 .3601 .857
빅 데이터x>z Dunnett T3 x y .3363 .2585 .478
z .4930* .1945 .035
y x –.3363 .2585 .478
z .1567 .2686 .914
z x –.4930* .1945 .035
y –.1567 .2686 .914
핀테크x>z Scheffe x y .9134* .3399 .028
z 1.1973* .2733 .000
y x –.9134* .3399 .028
z .2839 .3288 .689
z x –1.1973* .2733 .000
y –.2839 .3288 .689
드론x>z Scheffe x y .3798 .3243 .504
z 1.0351* .2607 .000
y x –.3798 .3243 .504
z .6553 .3137 .114
z x –1.0351* .2607 .000
y –.6553 .3137 .114
평균 차이가 0.05 수준에서 유의합니다.