1. Atributos
A measurement system by attribute classifies the piece as defective or not. One of the main objectives of measurement system analysis (MSA) by attribute is to understand and prevent classification errors.
Example:
Consider a measurement system, in which 50 pieces were selected, 3 evaluators with three measurements per piece (each evaluator), The data is presented in the Table below and in Table A 1 of Appendix A (Example given in the MSA Manual 4th Edition, page, 127). Here we consider 0 Non-Comforming and 1 Comforming, we also consider LSL=0 and USL=1.02.
| Piece |
Operator 1 |
Operator 2 |
Operator 3 |
Standar |
Reference Value |
| 1 |
1 |
1 |
1 |
1 |
0.476901 |
| 1 |
1 |
1 |
1 |
1 |
0.476901 |
| 1 |
1 |
1 |
1 |
1 |
0.476901 |
| 2 |
1 |
1 |
1 |
1 |
0.509015 |
| 2 |
1 |
1 |
1 |
1 |
0.509015 |
| 2 |
1 |
1 |
1 |
1 |
0.509015 |
| 3 |
0 |
0 |
0 |
0 |
0.576459 |
| 3 |
0 |
0 |
0 |
0 |
0.576459 |
| 3 |
0 |
0 |
0 |
0 |
0.576459 |
| 4 |
0 |
0 |
0 |
0 |
0.566152 |
| 4 |
0 |
0 |
0 |
0 |
0.566152 |
| 4 |
0 |
0 |
0 |
0 |
0.566152 |
| 5 |
0 |
0 |
0 |
0 |
0.57036 |
| 5 |
0 |
0 |
0 |
0 |
0.57036 |
| 5 |
0 |
0 |
0 |
0 |
0.57036 |
| 6 |
1 |
1 |
1 |
1 |
0.544951 |
| 6 |
1 |
1 |
0 |
1 |
0.544951 |
| 6 |
0 |
0 |
0 |
1 |
0.544951 |
| 7 |
1 |
1 |
1 |
1 |
0.465454 |
| 7 |
1 |
1 |
0 |
1 |
0.465454 |
| 7 |
1 |
1 |
1 |
1 |
0.465454 |
| 8 |
1 |
1 |
1 |
1 |
0.502295 |
| 8 |
1 |
1 |
1 |
1 |
0.502295 |
| 8 |
1 |
1 |
1 |
1 |
0.502295 |
| 9 |
0 |
0 |
0 |
0 |
0.437817 |
| 9 |
0 |
0 |
0 |
0 |
0.437817 |
| 9 |
0 |
0 |
0 |
0 |
0.437817 |
| 10 |
1 |
1 |
1 |
1 |
0.515573 |
| 10 |
1 |
1 |
1 |
1 |
0.515573 |
| 10 |
1 |
1 |
1 |
1 |
0.515573 |
| 11 |
1 |
1 |
1 |
1 |
0.488905 |
| 11 |
1 |
1 |
1 |
1 |
0.488905 |
| 11 |
1 |
1 |
1 |
1 |
0.488905 |
| 12 |
0 |
0 |
0 |
0 |
0.559918 |
| 12 |
0 |
0 |
1 |
0 |
0.559918 |
| 12 |
0 |
0 |
0 |
0 |
0.559918 |
| 13 |
1 |
1 |
1 |
1 |
0.542704 |
| 13 |
1 |
1 |
1 |
1 |
0.542704 |
| 13 |
1 |
1 |
1 |
1 |
0.542704 |
| 14 |
1 |
1 |
1 |
1 |
0.454518 |
| 14 |
1 |
1 |
0 |
1 |
0.454518 |
| 14 |
0 |
1 |
0 |
1 |
0.454518 |
| 15 |
1 |
1 |
1 |
1 |
0.517377 |
| 15 |
1 |
1 |
1 |
1 |
0.517377 |
| 15 |
1 |
1 |
1 |
1 |
0.517377 |
| 16 |
1 |
1 |
1 |
1 |
0.531939 |
| 16 |
1 |
1 |
1 |
1 |
0.531939 |
| 16 |
1 |
1 |
1 |
1 |
0.531939 |
| 17 |
1 |
1 |
1 |
1 |
0.519694 |
| 17 |
1 |
1 |
1 |
1 |
0.519694 |
| 17 |
1 |
1 |
1 |
1 |
0.519694 |
| 18 |
1 |
1 |
1 |
1 |
0.484167 |
| 18 |
1 |
1 |
1 |
1 |
0.484167 |
| 18 |
1 |
1 |
1 |
1 |
0.484167 |
| 19 |
1 |
1 |
1 |
1 |
0.520496 |
| 19 |
1 |
1 |
1 |
1 |
0.520496 |
| 19 |
1 |
1 |
1 |
1 |
0.520496 |
| 20 |
1 |
1 |
1 |
1 |
0.477236 |
| 20 |
1 |
1 |
1 |
1 |
0.477236 |
| 20 |
1 |
1 |
1 |
1 |
0.477236 |
| 21 |
1 |
1 |
0 |
1 |
0.45231 |
| 21 |
1 |
0 |
1 |
1 |
0.45231 |
| 21 |
0 |
1 |
0 |
1 |
0.45231 |
| 22 |
0 |
0 |
1 |
0 |
0.545604 |
| 22 |
0 |
1 |
1 |
0 |
0.545604 |
| 22 |
1 |
0 |
0 |
0 |
0.545604 |
| 23 |
1 |
1 |
1 |
1 |
0.529065 |
| 23 |
1 |
1 |
1 |
1 |
0.529065 |
| 23 |
1 |
1 |
1 |
1 |
0.529065 |
| 24 |
1 |
1 |
1 |
1 |
0.514192 |
| 24 |
1 |
1 |
1 |
1 |
0.514192 |
| 24 |
1 |
1 |
1 |
1 |
0.514192 |
| 25 |
0 |
0 |
0 |
0 |
0.599581 |
| 25 |
0 |
0 |
0 |
0 |
0.599581 |
| 25 |
0 |
0 |
0 |
0 |
0.599581 |
| 26 |
0 |
0 |
0 |
0 |
0.547204 |
| 26 |
1 |
0 |
0 |
0 |
0.547204 |
| 26 |
0 |
0 |
1 |
0 |
0.547204 |
| 27 |
1 |
1 |
1 |
1 |
0.502436 |
| 27 |
1 |
1 |
1 |
1 |
0.502436 |
| 27 |
1 |
1 |
1 |
1 |
0.502436 |
| 28 |
1 |
1 |
1 |
1 |
0.521642 |
| 28 |
1 |
1 |
1 |
1 |
0.521642 |
| 28 |
1 |
1 |
1 |
1 |
0.521642 |
| 29 |
1 |
1 |
1 |
1 |
0.523754 |
| 29 |
1 |
1 |
1 |
1 |
0.523754 |
| 29 |
1 |
1 |
1 |
1 |
0.523754 |
| 30 |
0 |
0 |
0 |
0 |
0.561457 |
| 30 |
0 |
0 |
0 |
0 |
0.561457 |
| 30 |
0 |
1 |
0 |
0 |
0.561457 |
| 31 |
1 |
1 |
1 |
1 |
0.503091 |
| 31 |
1 |
1 |
1 |
1 |
0.503091 |
| 31 |
1 |
1 |
1 |
1 |
0.503091 |
| 32 |
1 |
1 |
1 |
1 |
0.50585 |
| 32 |
1 |
1 |
1 |
1 |
0.50585 |
| 32 |
1 |
1 |
1 |
1 |
0.50585 |
| 33 |
1 |
1 |
1 |
1 |
0.487613 |
| 33 |
1 |
1 |
1 |
1 |
0.487613 |
| 33 |
1 |
1 |
1 |
1 |
0.487613 |
| 34 |
0 |
0 |
0 |
0 |
0.449696 |
| 34 |
0 |
0 |
1 |
0 |
0.449696 |
| 34 |
1 |
1 |
1 |
0 |
0.449696 |
| 35 |
1 |
1 |
1 |
1 |
0.498698 |
| 35 |
1 |
1 |
1 |
1 |
0.498698 |
| 35 |
1 |
1 |
1 |
1 |
0.498698 |
| 36 |
1 |
1 |
1 |
1 |
0.543077 |
| 36 |
1 |
1 |
0 |
1 |
0.543077 |
| 36 |
0 |
1 |
1 |
1 |
0.543077 |
| 37 |
0 |
0 |
0 |
0 |
0.409238 |
| 37 |
0 |
0 |
0 |
0 |
0.409238 |
| 37 |
0 |
0 |
0 |
0 |
0.409238 |
| 38 |
1 |
1 |
1 |
1 |
0.488184 |
| 38 |
1 |
1 |
1 |
1 |
0.488184 |
| 38 |
1 |
1 |
1 |
1 |
0.488184 |
| 39 |
0 |
0 |
0 |
0 |
0.427687 |
| 39 |
0 |
0 |
0 |
0 |
0.427687 |
| 39 |
0 |
0 |
0 |
0 |
0.427687 |
| 40 |
1 |
1 |
1 |
1 |
0.501132 |
| 40 |
1 |
1 |
1 |
1 |
0.501132 |
| 40 |
1 |
1 |
1 |
1 |
0.501132 |
| 41 |
1 |
1 |
1 |
1 |
0.513779 |
| 41 |
1 |
1 |
1 |
1 |
0.513779 |
| 41 |
1 |
1 |
1 |
1 |
0.513779 |
| 42 |
0 |
0 |
0 |
0 |
0.566575 |
| 42 |
0 |
0 |
0 |
0 |
0.566575 |
| 42 |
0 |
0 |
0 |
0 |
0.566575 |
| 43 |
1 |
1 |
1 |
1 |
0.46241 |
| 43 |
0 |
1 |
1 |
1 |
0.46241 |
| 43 |
1 |
1 |
0 |
1 |
0.46241 |
| 44 |
1 |
1 |
1 |
1 |
0.470832 |
| 44 |
1 |
1 |
1 |
1 |
0.470832 |
| 44 |
1 |
1 |
1 |
1 |
0.470832 |
| 45 |
0 |
0 |
0 |
0 |
0.412453 |
| 45 |
0 |
0 |
0 |
0 |
0.412453 |
| 45 |
0 |
0 |
0 |
0 |
0.412453 |
| 46 |
1 |
1 |
1 |
1 |
0.493441 |
| 46 |
1 |
1 |
1 |
1 |
0.493441 |
| 46 |
1 |
1 |
1 |
1 |
0.493441 |
| 47 |
1 |
1 |
1 |
1 |
0.486379 |
| 47 |
1 |
1 |
1 |
1 |
0.486379 |
| 47 |
1 |
1 |
1 |
1 |
0.486379 |
| 48 |
0 |
0 |
0 |
0 |
0.587893 |
| 48 |
0 |
0 |
0 |
0 |
0.587893 |
| 48 |
0 |
0 |
0 |
0 |
0.587893 |
| 49 |
1 |
1 |
1 |
1 |
0.483803 |
| 49 |
1 |
1 |
1 |
1 |
0.483803 |
| 49 |
1 |
1 |
1 |
1 |
0.483803 |
| 50 |
0 |
0 |
0 |
0 |
0.446697 |
| 50 |
0 |
0 |
0 |
0 |
0.446697 |
| 50 |
0 |
0 |
0 |
0 |
0.446697 |
We will upload the data to the system.

Configuring as shown in the figure below to perform the analysis.

Then click Calculate to get the results. You can also generate the analyses and download them in Word format.

Analysis result
Analysis result
|
|
|
|
|
|
|
|
Operator 1 (row) |
vs |
Operator 2 (column) |
|
Frequency Table
|
1 |
0 |
Total |
| 1 |
97 |
3 |
100 |
| 0 |
6 |
44 |
50 |
| Total |
103 |
47 |
150 |
Observed Proportions
|
1 |
0 |
Total |
| 1 |
0.647 |
0.020 |
0.667 |
| 0 |
0.040 |
0.293 |
0.333 |
| Total |
0.687 |
0.313 |
1.000 |
Expected Proportions
|
1 |
0 |
Total |
| 1 |
0.458 |
0.209 |
0.667 |
| 0 |
0.229 |
0.104 |
0.333 |
| Total |
0.687 |
0.313 |
1.000 |
Analysis result
Analysis result
|
|
|
|
|
|
|
|
Operator 1 (row) |
vs |
Operator 3 (column) |
|
Frequency Table
|
1 |
0 |
Total |
| 1 |
92 |
8 |
100 |
| 0 |
7 |
43 |
50 |
| Total |
99 |
51 |
150 |
Observed proportions
|
1 |
0 |
Total |
| 1 |
0.613 |
0.053 |
0.667 |
| 0 |
0.047 |
0.287 |
0.333 |
| Total |
0.660 |
0.340 |
1.000 |
Expected Proportions
|
1 |
0 |
Total |
| 1 |
0.44 |
0.227 |
0.667 |
| 0 |
0.22 |
0.113 |
0.333 |
| Total |
0.66 |
0.340 |
1.000 |
Analysis result
Analysis result
|
|
|
|
|
|
|
|
Operator 2 (row) |
vs |
Operator 3 (column) |
|
Frequency Table
|
1 |
0 |
Total |
| 1 |
94 |
9 |
103 |
| 0 |
5 |
42 |
47 |
| Total |
99 |
51 |
150 |
Observed Proportions
|
1 |
0 |
Total |
| 1 |
0.627 |
0.06 |
0.687 |
| 0 |
0.033 |
0.28 |
0.313 |
| Total |
0.660 |
0.34 |
1.000 |
Expected Proportions
|
1 |
0 |
Total |
| 1 |
0.453 |
0.233 |
0.687 |
| 0 |
0.207 |
0.107 |
0.313 |
| Total |
0.660 |
0.340 |
1.000 |
Analysis result
Analysis result
Agreement Table
|
Agreement(abs) |
Agreement(%) |
Lower confidence interval |
Upper confidence interval |
| Operator 1 |
42 |
84 |
70.89 |
92.83 |
| Operator 2 |
45 |
90 |
78.19 |
96.67 |
| Operator 3 |
40 |
80 |
66.28 |
89.97 |
| Todos |
39 |
78 |
64.04 |
88.47 |
Analysis result
Analysis result
|
|
|
|
|
|
|
|
Operator 1 (row) |
vs |
Standard (column) |
|
Frequency Table
|
1 |
0 |
Total |
| 1 |
97 |
3 |
100 |
| 0 |
5 |
45 |
50 |
| Total |
102 |
48 |
150 |
Observed Proportions
|
1 |
0 |
Total |
| 1 |
0.647 |
0.02 |
0.667 |
| 0 |
0.033 |
0.30 |
0.333 |
| Total |
0.680 |
0.32 |
1.000 |
Expected proportions
|
1 |
0 |
Total |
| 1 |
0.453 |
0.213 |
0.667 |
| 0 |
0.227 |
0.107 |
0.333 |
| Total |
0.680 |
0.320 |
1.000 |
Analysis result
Analysis result
|
|
|
|
|
|
|
|
Operator 2 (row) |
vs |
Standard (column) |
|
Frequency Table
|
1 |
0 |
Total |
| 1 |
100 |
3 |
103 |
| 0 |
2 |
45 |
47 |
| Total |
102 |
48 |
150 |
Observed Proportions
|
1 |
0 |
Total |
| 1 |
0.667 |
0.02 |
0.687 |
| 0 |
0.013 |
0.30 |
0.313 |
| Total |
0.680 |
0.32 |
1.000 |
Expected Proportions
|
1 |
0 |
Total |
| 1 |
0.467 |
0.22 |
0.687 |
| 0 |
0.213 |
0.10 |
0.313 |
| Total |
0.680 |
0.32 |
1.000 |
Analysis result
Analysis result
|
|
|
|
|
|
|
|
Operator 3 (row) |
vs |
Standard (column) |
|
Frequency Table
|
1 |
0 |
Total |
| 1 |
93 |
6 |
99 |
| 0 |
9 |
42 |
51 |
| Total |
102 |
48 |
150 |
Observed Proportions
|
1 |
0 |
Total |
| 1 |
0.62 |
0.04 |
0.66 |
| 0 |
0.06 |
0.28 |
0.34 |
| Total |
0.68 |
0.32 |
1.00 |
Expected Proportions
|
1 |
0 |
Total |
| 1 |
0.449 |
0.211 |
0.66 |
| 0 |
0.231 |
0.109 |
0.34 |
| Total |
0.680 |
0.320 |
1.00 |
Analysis result
Analysis result
Agreement Table
|
Agreement(abs) |
Agreement(%) |
Lower confidence interval |
Upper confidence interval |
Error Rate |
False alarm rate |
| Operator 1 vs Standard |
42 |
84 |
70.89 |
92.83 |
6.25 |
4.902 |
| Operator 2 vs Standard |
45 |
90 |
78.19 |
96.67 |
6.25 |
1.961 |
| Operator 3 vs Standard |
40 |
80 |
66.28 |
89.97 |
12.5 |
8.824 |
| All |
39 |
78 |
64.04 |
88.47 |
|
|
Analysis result
Gray band chart
| Gray Band |
Pieces |
Operator 1 A |
Operator1 B |
Operator1 C |
Operator 2 A |
Operator 2 B |
Operator 2 C |
Operator 3 A |
Operator 3 B |
Operator 3 C |
Standard Signal |
|
Standard Value |
| No |
25 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
- |
0.6 |
| No |
48 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
- |
0.588 |
| No |
3 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
- |
0.576 |
| No |
5 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
- |
0.57 |
| No |
42 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
- |
0.567 |
| Yes |
4 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
- |
0.566 |
| Yes |
30 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
X |
0.562 |
| Yes |
12 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
X |
0.56 |
| Yes |
26 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
1 |
0 |
X |
0.547 |
| Yes |
22 |
0 |
0 |
1 |
0 |
1 |
1 |
1 |
0 |
0 |
0 |
X |
0.546 |
| Yes |
6 |
1 |
1 |
1 |
1 |
1 |
0 |
0 |
0 |
0 |
1 |
X |
0.545 |
| Yes |
36 |
1 |
1 |
1 |
1 |
1 |
0 |
0 |
1 |
1 |
1 |
X |
0.543 |
| Yes |
13 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.543 |
| No |
16 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.532 |
| No |
23 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.529 |
| No |
29 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.524 |
| No |
28 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.522 |
| No |
19 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.52 |
| No |
17 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.52 |
| No |
15 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.517 |
| No |
10 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.516 |
| No |
24 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.514 |
| No |
41 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.514 |
| No |
2 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.509 |
| No |
32 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.506 |
| No |
31 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.503 |
| No |
27 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.502 |
| No |
8 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.502 |
| No |
40 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.501 |
| No |
35 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.499 |
| No |
46 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.493 |
| No |
11 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.489 |
| No |
38 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.488 |
| No |
33 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.488 |
| No |
47 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.486 |
| No |
18 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.484 |
| No |
49 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.484 |
| No |
20 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.477 |
| No |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.477 |
| Yes |
44 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
+ |
0.471 |
| Yes |
7 |
1 |
1 |
1 |
1 |
1 |
0 |
1 |
1 |
1 |
1 |
X |
0.466 |
| Yes |
43 |
1 |
1 |
1 |
0 |
1 |
1 |
1 |
1 |
0 |
1 |
X |
0.462 |
| Yes |
14 |
1 |
1 |
1 |
1 |
1 |
0 |
0 |
1 |
0 |
1 |
X |
0.454 |
| Yes |
21 |
1 |
1 |
0 |
1 |
0 |
1 |
0 |
1 |
0 |
1 |
X |
0.452 |
| Yes |
34 |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
1 |
0 |
X |
0.45 |
| Yes |
50 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
- |
0.447 |
| No |
9 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
- |
0.438 |
| No |
39 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
- |
0.428 |
| No |
45 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
- |
0.412 |
| No |
37 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
- |
0.409 |
Limit table
|
Specification limits |
Upper gray band boundaries |
Lower gray band boundaries |
| Upper Limit: |
1.02 |
0.5662 |
0.4708 |
| Lower Limit: |
0.00 |
0.5427 |
0.4467 |
| d: |
|
0.0234 |
0.0241 |
Analysis result
Analysis result
Last modified 19.11.2025:
Atualizar Manual (288ad71)