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Pages 65-72

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From page 65...
... Proposed Practice for Validating Contractor Test Data 65 3.44 Student's t distribution -- a family of continuous sampling distributions employed in small sampling theory where the standard deviation is unknown. 3.45 validation -- the mathematical comparison of two independently obtained sets of data (e.g., SHA data versus Contractor data)
From page 66...
... 66 Procedures and Guidelines for Validating Contractor Test Data 4.1.3 Samples obtained for validation of Contractor results must be taken independent of those samples taken by the Contractor for acceptance testing. 4.1.4 The SHA must establish procedures regarding the security of samples (i.e., chain of custody)
From page 67...
... Proposed Practice for Validating Contractor Test Data 67 Figure 1 Simplified Diagram of the Key Parts in an Acceptance Plan 4.3.2 Validation may include up to four steps: (1) outlier detection, (2)
From page 68...
... 68 Procedures and Guidelines for Validating Contractor Test Data used to judge whether the SHA results or the Contractor results are better estimates of the population when significant differences between those results are evident. 4.3.3 Sampling and Testing – The goal of sampling as part of a QA program is to obtain a suitable number of small but representative portions of the lot that are of sufficient size to conduct tests of the AQCs for determining specification compliance.
From page 69...
... Proposed Practice for Validating Contractor Test Data 69 important to identify the cause(s) of outlying results and correct them so that they do not persist.
From page 70...
... 70 Procedures and Guidelines for Validating Contractor Test Data Note 2 – When the variabilities are found to be different, the causes of difference should be investigated. As a starting point, the SHA and the Contractor personnel who take the samples and conduct the tests should review each other's methods.
From page 71...
... Proposed Practice for Validating Contractor Test Data 71 4.4.4 Secondary Validation – This comparison of SHA and Contractor results utilizes multiple split samples that are evaluated with the paired t-test. The paired t-test determines whether the average difference between pairs of results is statistically different from zero.
From page 72...
... 72 Procedures and Guidelines for Validating Contractor Test Data Resolution, the cost of the Referee Testing is paid by the SHA if the Referee results favor the Contractor and paid by the Contractor if the Referee results favor the SHA. If the Contractor does not invoke Referee Testing, then the SHA's results are used to determine acceptance and pay factor of the AQC for the lot in question.

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