rivariva
Registered
Hi all,
A crossed gage R and r was run recently with 3 operators 10 samples. The data from the programmed vision system has some with 6 decimal places, 4 decimal places and 5 decimal places. The thing is when I enter this data into minitab (not as worksheet), for eg: when I enter 0.0483. then i enter 0.048206, the 0.0483 becomes 0.048300. same for 5 decimal places, it adds an extra 0 at the end. So when I do a Gage r and R crossed study, with these values in minitab , does it affect the %Tolerance?(SV/Toler) and %Study Var (%SV) under Gage Evaluation? Currently for the dimension .0396±.0001 this is causing an unrealistic number
Total Gage R and R: %Tolerance (SV/Toler): 714.33, the %SV is 71.65. Any idea why?
Part Operator Measurement
1 327 0.03992
2 327 0.04001
3 327 0.03982
4 327 0.03978
5 327 0.0395
6 327 0.04004
7 327 0.03999
8 327 0.0399
9 327 0.0399
10 327 0.04018
1 327 0.03979
2 327 0.03981
3 327 0.03987
4 327 0.04016
5 327 0.03951
6 327 0.04022
7 327 0.04007
8 327 0.03985
9 327 0.04011
10 327 0.04021
1 327 0.039514
2 327 0.038991
3 327 0.03985
4 327 0.039767
5 327 0.039559
6 327 0.039825
7 327 0.039857
8 327 0.040328
9 327 0.039979
10 327 0.03984
1 1567 0.039794
2 1567 0.038894
3 1567 0.039488
4 1567 0.039776
5 1567 0.039417
6 1567 0.039869
7 1567 0.0398
8 1567 0.0399
9 1567 0.039885
10 1567 0.040174
1 1567 0.039522
2 1567 0.0387
3 1567 0.039409
4 1567 0.039717
5 1567 0.039509
6 1567 0.039946
7 1567 0.039824
8 1567 0.039832
9 1567 0.039751
10 1567 0.04026
1 1567 0.039516
2 1567 0.038748
3 1567 0.039517
4 1567 0.039662
5 1567 0.039401
6 1567 0.039725
7 1567 0.039793
8 1567 0.0399
9 1567 0.0397
10 1567 0.04
1 1618 0.039648
2 1618 0.039138
3 1618 0.039908
4 1618 0.039744
5 1618 0.03947
6 1618 0.039941
7 1618 0.039468
8 1618 0.039838
9 1618 0.039852
10 1618 0.039924
1 1618 0.039526
2 1618 0.038874
3 1618 0.039534
4 1618 0.039948
5 1618 0.039505
6 1618 0.039654
7 1618 0.039438
8 1618 0.039936
9 1618 0.039815
10 1618 0.039926
1 1618 0.039622
2 1618 0.039551
3 1618 0.039474
4 1618 0.03972
5 1618 0.039384
6 1618 0.039588
7 1618 0.03929
8 1618 0.039931
9 1618 0.039875
10 1618 0.039804
A crossed gage R and r was run recently with 3 operators 10 samples. The data from the programmed vision system has some with 6 decimal places, 4 decimal places and 5 decimal places. The thing is when I enter this data into minitab (not as worksheet), for eg: when I enter 0.0483. then i enter 0.048206, the 0.0483 becomes 0.048300. same for 5 decimal places, it adds an extra 0 at the end. So when I do a Gage r and R crossed study, with these values in minitab , does it affect the %Tolerance?(SV/Toler) and %Study Var (%SV) under Gage Evaluation? Currently for the dimension .0396±.0001 this is causing an unrealistic number
Total Gage R and R: %Tolerance (SV/Toler): 714.33, the %SV is 71.65. Any idea why?
Part Operator Measurement
1 327 0.03992
2 327 0.04001
3 327 0.03982
4 327 0.03978
5 327 0.0395
6 327 0.04004
7 327 0.03999
8 327 0.0399
9 327 0.0399
10 327 0.04018
1 327 0.03979
2 327 0.03981
3 327 0.03987
4 327 0.04016
5 327 0.03951
6 327 0.04022
7 327 0.04007
8 327 0.03985
9 327 0.04011
10 327 0.04021
1 327 0.039514
2 327 0.038991
3 327 0.03985
4 327 0.039767
5 327 0.039559
6 327 0.039825
7 327 0.039857
8 327 0.040328
9 327 0.039979
10 327 0.03984
1 1567 0.039794
2 1567 0.038894
3 1567 0.039488
4 1567 0.039776
5 1567 0.039417
6 1567 0.039869
7 1567 0.0398
8 1567 0.0399
9 1567 0.039885
10 1567 0.040174
1 1567 0.039522
2 1567 0.0387
3 1567 0.039409
4 1567 0.039717
5 1567 0.039509
6 1567 0.039946
7 1567 0.039824
8 1567 0.039832
9 1567 0.039751
10 1567 0.04026
1 1567 0.039516
2 1567 0.038748
3 1567 0.039517
4 1567 0.039662
5 1567 0.039401
6 1567 0.039725
7 1567 0.039793
8 1567 0.0399
9 1567 0.0397
10 1567 0.04
1 1618 0.039648
2 1618 0.039138
3 1618 0.039908
4 1618 0.039744
5 1618 0.03947
6 1618 0.039941
7 1618 0.039468
8 1618 0.039838
9 1618 0.039852
10 1618 0.039924
1 1618 0.039526
2 1618 0.038874
3 1618 0.039534
4 1618 0.039948
5 1618 0.039505
6 1618 0.039654
7 1618 0.039438
8 1618 0.039936
9 1618 0.039815
10 1618 0.039926
1 1618 0.039622
2 1618 0.039551
3 1618 0.039474
4 1618 0.03972
5 1618 0.039384
6 1618 0.039588
7 1618 0.03929
8 1618 0.039931
9 1618 0.039875
10 1618 0.039804