Analysis of Variation ANOVA 9 I III 25 Slides: 29 Download presentation 통계학 분산분석 (Analysis of Variation, ANOVA) 9 기계(I) 기계(III) 25 21 22 20 20 20 25 16 21 26 15 합계 96 72 63 231 평균 24 18 21 21 표본계수 4 4 3 11 생산량 SST =(25 -21)2 + (20 -21)2+…+(21 -21)2=122 SSA = 4(24 -21)2 +4(18 -21)2+3(21 -21)2=72 SSE = SST-SSA = 50 총계 16 기계(I) 기계(III) 합계 평균 1년 25 20 21 66 22 4년 28 22 19 69 23 8년 22 18 23 63 21 합계 75 60 63 198 평균 25 20 21 SST = SSA = SSB = SSE = 22 (25 -22)2+(28 -22) 2+…+(23 -22) 2=76 3{(25 -22)2+(20 -22)2+(21 -22)2}=42 3{(22 -22)2+(23 -22)2+(21 -22)2}=6 SST-SSA-SSB=28 19 23 SST = SSA + SSB +SSAB + SSE 반복이 있는 경우의 이원분산분석표 요인 제곱합 자유도 평균제곱 F 요인 1 SSA g-1 MSA=SSA/(g-1) MSA/MSE 요인 2 SSB c-1 MSB=SSB/(c-1) MSB/MSE 상호작용 SSAB (g-1)(c-1) MSAB=SSAB/(g-1)(c-1) MSAB/MSE 잔차(오차) SSE gc(h-1) MSE=SSE/gc(h-1) 합계 SST gch-1 25 200 250 300 98 104 89 99 111 86 114 100 계 273 321 315 909 평균 91 107 105 101 99 115 106 102 109 99 102 121 92 계 303 345 297 945 평균 101 115 99 105 총계 576 666 612 1854 총평균 96 111 102 103 저온 고온 합계 26 SST = {(98 -103)2+(89 -103)2+…+(92 -103)2}=1414 SSA = 2*3{(96 -103)2+(111 -103)2+(102 -103)2}=684 SSB = 3*3{(101 -103)2+(105 -103)2}=72 SSAB = 3*{(91 -96 -101+103)2+(101 -96 -105+103)2 +…+ (99 -102 -105+103)2}=228 SSE = SST-SSA-SSB-SSAB=430 29 Perbedaan one way dan two way anovaOne way anova vs two way anovaContoh one way anova dan two way anovaDirect variation equationDirect and inverse variation graphsCorrelation and regressionHamlet act iii scene iiAnalysis of variance (anova)Two way anova minitab 17Anova testi ne zaman kullanılırSphärizitätsannahmeInteraktionseffekt varianzanalyseAnova in researchPerbedaan one way dan two way anovaVaryans analizi örnek sorularApplication of anovaAnalisis sidik ragam anovaOne way anova tableOne way anova null hypothesisAnova statistikaTabel anova split plotFactorial anova2 way anova exampleAndy field anovaManova with repeated measuresMeasuresRepeated measures design vs independent measures designRepeated measures anovaYijk anovaAnova effect size