IPC-TM-650 EN 2022 试验方法.pdf - 第23页

T able 3: Good Parts That Were Rejected Score a ‘‘1’’ where good parts were rejected in T able 1 above. Score a ‘‘0’’ everywhere else. Note the scores for each tester in the table below . T ester Samples 123456789 1 0 T …

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Measurement
Precision Study – Binary Data
Calculations
Table 1: Data Entry Form
Enter test results into the table below.
T
ester
Samples
12345678910
True
Standard
1
2
3
4
5
6
7
8
9
10
Table 2: Samples Dispositioned Correctly
Score a ‘‘1’’ where disposition in Table 1 above matched the true standard.
Score a ‘‘0’’ where disposition did not match the true standard.
Note these scores for each of the testers in the table below.
T
ester
Samples
12345678910Total
True
Standard
1
2
3
4
5
6
7
8
9
10
IPC-TM-650
Number
1.8
Subject
Measurement
Precision Estimation for Binary Data
Date
01/03
Revision
A
P
age4of6
T
able 3: Good Parts That Were Rejected
Score a ‘‘1’’ where good parts were rejected in Table 1 above.
Score a ‘‘0’’ everywhere else.
Note the scores for each tester in the table below.
T
ester
Samples
12345678910Total
True
Standard
1
2
3
4
5
6
7
8
9
10
Table 4: Bad Parts That Were Accepted
Score a ‘‘1’’ where bad parts were accepted in Table 1 above.
Score a ‘‘0’’ everywhere else.
T
ester
Samples
12345678910Total
True
Standard
1
2
3
4
5
6
7
8
9
10
IPC-TM-650
Number
1.8
Subject
Measurement
Precision Estimation for Binary Data
Date
01/03
Revision
A
P
age5of6
T
able 5: Measurement System Scorecard
Results
T
ester
12345678910Total
Disposed
correctly
Good
and
rejected
Bad and
accepted
Total
tests
Acceptable parts
Rejectable parts
# of testers
Number
of testers times the number of parts.
Count acceptable parts in the True Standard line of the data input table.
Count rejectable parts in the True Standard line of the data input table.
Count the number of participants.
T
able 6: Measurement System Effectiveness
Metric
Calculation Result Acceptable
Needs
Improvement
T
est effectiveness (%)
Total parts dispositioned correctly
Total
parts tested
x 100
>90 <80
Probability of false rejects (%)
Total good and rejected parts
(No.
of testers) x (Good parts)
x 100
<5 >10
Probability of false acceptance (%)
Total bad and accepted parts
(No.
of testers} x (Bad parts)
x 100
<2 >5
IPC-TM-650
Number
1.8
Subject
Measurement
Precision Estimation for Binary Data
Date
01/03
Revision
A
P
age6of6