ANOVA- 두집단 이상의 평균을 비교하기 위해서 사용 (종속변

ANOVA- 두집단 이상의 평균을 비교하기 위해서 사
용 (종속변수 1개)
• MANOVA- 종속변수가 2이상인 경우 집단 평균들의
vectors를 비교
Why?
(1) 종속변수들이 서로 상관관계가 높은 경우 - 결합된
차이를 밝혀낼 수 있다.
(2) ANOVA를 여러번 사용하면 1종오류 확률 커짐
ex. 유의수준 .05에서 종속변수가 5개인 경우 1종
오류 확률은 5%(r=1)에서 23%로 증가

ผลลัพธ์ (อังกฤษ) 1:

ANOVA-two groups in order to compare the average of more than four(Dependent variable)• If you have more than one dependent variable, 2 collective average MANOVA-theirCompare vectorsWhy? (1) if such a high correlation with each other – combinedIt turns out the difference. (2) when you use the ANOVA, multiple times, the probability of a type I error increasesKeep in mind that level depends on the variable ex. 05.1 of 5 individual speciesError probability is 5% (r = 1) increased to 23% in

ผลลัพธ์ (อังกฤษ) 2:

ANOVA- use two or more groups in order to compare the mean
(one dependent variable) for
• MANOVA- If the dependent variable is 2 or more groups of average
comparing vectors
Why?
(1) If the dependent variable that is highly correlated with each other - the combined
It can reveal the difference.
(2) using the ANOVA multiple type I error probability increases
ex. If the dependent variable is the significance level of 5 in individual .05 1 jong
error probability increases to 23% in 5% (r = 1)

ผลลัพธ์ (อังกฤษ) 3:

ANOVA - two groups or more than the average for the company(the use of the parameter 1)and MANOVA - the two or more variables, the average of the group.vectors comparedwhat was the matter.(1) the variable phase correlation is high, the combination ofto find the car.(2) the use of a ANOVA several times, the greater the probability of error.ex. pay attention to the level of the individual may be in the first class.the error rate is 5% (t = 1) increased by 23%.