GRR的方差分析和均值分析有什么区别?

请问一下,同一组数据, 在用MINITA计算时,选用方差分析和均值分析, 算出来的结果怎么会差这么远? 分别为84.49%和11.09%， 是我哪里搞错了吗?

以下是原始的数据，请高手指教一下，THANKS。

Gage R&R Study - ANOVA Method

Two-Way ANOVA Table With Interaction

Source DF SS MS F P
part 9 0.0151728 0.0016859 2.206 0.073
opeator 2 0.0000801 0.0000400 0.052 0.949
part * opeator 18 0.0137568 0.0007643 781.638 0.000
Repeatability 60 0.0000587 0.0000010
Total 89 0.0290684


Gage R&R

%Contribution
Source VarComp (of VarComp)
Total Gage R&R 0.0002554 71.38
Repeatability 0.0000010 0.27
Reproducibility 0.0002544 71.11
opeator 0.0000000 0.00
opeator*part 0.0002544 71.11
Part-To-Part 0.0001024 28.62
Total Variation 0.0003578 100.00


Study Var %Study Var
Source StdDev (SD) (6 * SD) (%SV)
Total Gage R&R 0.0159815 0.095889 84.49
Repeatability 0.0009888 0.005933 5.23
Reproducibility 0.0159509 0.095705 84.33
opeator 0.0000000 0.000000 0.00
opeator*part 0.0159509 0.095705 84.33
Part-To-Part 0.0101193 0.060716 53.50
Total Variation 0.0189158 0.113495 100.00

Number of Distinct Categories = 1


Gage R&R Study - XBar/R Method

%Contribution
Source VarComp (of VarComp)
Total Gage R&R 0.0000024 1.23
Repeatability 0.0000013 0.67
Reproducibility 0.0000011 0.56
Part-To-Part 0.0001924 98.77
Total Variation 0.0001948 100.00


Study Var %Study Var
Source StdDev (SD) (6 * SD) (%SV)
Total Gage R&R 0.0015472 0.0092834 11.09
Repeatability 0.0011420 0.0068517 8.18
Reproducibility 0.0010440 0.0062637 7.48
Part-To-Part 0.0138714 0.0832285 99.38
Total Variation 0.0139574 0.0837446 100.00


Number of Distinct Categories = 12


Gage R&R for measrue

measrue trial part opeator
0.496 1 1 1
0.511 1 2 1
0.526 1 3 1
0.487 1 4 1
0.475 1 5 1
0.536 1 6 1
0.541 1 7 1
0.509 1 8 1
0.518 1 9 1
0.506 1 10 1
0.497 2 1 1
0.513 2 2 1
0.524 2 3 1
0.486 2 4 1
0.476 2 5 1
0.535 2 6 1
0.540 2 7 1
0.510 2 8 1
0.519 2 9 1
0.506 2 10 1
0.498 3 1 1
0.512 3 2 1
0.525 3 3 1
0.489 3 4 1
0.474 3 5 1
0.534 3 6 1
0.542 3 7 1
0.508 3 8 1
0.517 3 9 1
0.505 3 10 1
0.504 1 1 2
0.493 1 2 2
0.516 1 3 2
0.539 1 4 2
0.483 1 5 2
0.525 1 6 2
0.507 1 7 2
0.480 1 8 2
0.513 1 9 2
0.529 1 10 2
0.503 2 1 2
0.492 2 2 2
0.514 2 3 2
0.537 2 4 2
0.482 2 5 2
0.524 2 6 2
0.509 2 7 2
0.478 2 8 2
0.512 2 9 2
0.527 2 10 2
0.505 3 1 2
0.494 3 2 2
0.515 3 3 2
0.538 3 4 2
0.481 3 5 2
0.526 3 6 2
0.508 3 7 2
0.479 3 8 2
0.513 3 9 2
0.528 3 10 2
0.514 1 1 3
0.494 1 2 3
0.539 1 3 3
0.508 1 4 3
0.495 1 5 3
0.524 1 6 3
0.489 1 7 3
0.505 1 8 3
0.530 1 9 3
0.511 1 10 3
0.512 2 1 3
0.493 2 2 3
0.537 2 3 3
0.509 2 4 3
0.494 2 5 3
0.525 2 6 3
0.488 2 7 3
0.504 2 8 3
0.529 2 9 3
0.510 2 10 3
0.513 3 1 3
0.492 3 2 3
0.538 3 3 3
0.507 3 4 3
0.496 3 5 3
0.524 3 6 3
0.487 3 7 3
0.506 3 8 3
0.531 3 9 3
0.509 3 10 3