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CH3. 일원배치법 ( One-way ) ▪ Completely Randomized Design ▪ 표 3 – 1 ▪ 교략 (confounding)

CH3. 일원배치법 ( One-way ) ▪ Completely Randomized Design ▪ 표 3 – 1 ▪ 교략 (confounding). Product/Process. A ( 온도 ). X (yield). 3.2 데이터 구조 (No missing data 경우 ) ▪ 표 3-2. 식 3.6 ( 인자 A 가 모수 인자 일 때 ). 3.3 인자와 모형의 분류 ▪ 모수인자 (fixed factor) 변량인자 (random factor) ▪ 모수 모형

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CH3. 일원배치법 ( One-way ) ▪ Completely Randomized Design ▪ 표 3 – 1 ▪ 교략 (confounding)

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  1. CH3. 일원배치법(One-way) ▪ Completely Randomized Design ▪ 표 3 – 1 ▪ 교략(confounding) Product/Process A (온도) X (yield)

  2. 3.2 데이터 구조 (No missing data 경우) ▪ 표 3-2

  3. 식 3.6 (인자 A가 모수 인자 일 때)

  4. 3.3 인자와 모형의 분류 ▪모수인자(fixed factor) 변량인자 (random factor) ▪모수 모형 변량 모형 혼합 모형 ▪표3-3 ▪오차항 특성 ①정규성(normality) ② 독립성 (independence) ③ 불편성(unbiased) : ④ 등분산성 (equal variance) :

  5. <표 3.3> 모수인자와 변량인자의 비교

  6. 3.4 분산분석 (ANOVA)

  7. 간편 계산식 where

  8. 자유도(Degrees of Freedom) • 표 3.4 일원배치 분산분석표

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