1.1 本实施规程涵盖了一种方法，用于根据用户指定的I型误差，为在实验室使用单个测量系统的测试方法的单个实施获得的检查标准（CS）的单个结果与其可接受参考值（ARV）之间的差异建立可接受的公差带，用户为测试方法的执行确定了测量系统精度、ARV的标准误差，并假设实验室在测试方法的执行过程中操作的测量系统没有偏差。 注1: 在本实施规程中，术语“用户”指本实施规程的用户，术语“实验室”（见 1.1 )指执行测试方法的组织或实体。 1.2 对于在中建立的公差带 1.1 ，提出了一种方法，用于在假设假设不成立且存在用户指定的偏差（正或负）的情况下，估计单个测试结果落在区域外的概率，该偏差被认为是实际问题。 1.3 本规程适用于在连续数字尺度上产生结果的ASTM委员会D02试验方法。 1.4 本实践假设正态（高斯）模型足以描述和预测处于统计控制状态的测量系统行为。 注2: 虽然本实践不包括在现场精度或重复性条件下在同一个CS上获得多个结果的场景，但提出的统计概念是适用的。 建议希望将这些概念应用于所述场景的用户咨询统计学家，并参考实践中描述的CS方法 D6299 . 1.5 本国际标准是根据世界贸易组织技术性贸易壁垒（TBT）委员会发布的《关于制定国际标准、指南和建议的原则的决定》中确立的国际公认标准化原则制定的。 ====意义和用途====== 4.1 执行石油测试方法的实验室可以使用本规程，根据ε和期望的I型误差，为CS或CCS材料的不频繁测试设定可接受的公差带，以确定测试方法是否在无偏差的情况下进行。 4.2 考虑到中设置的可接受公差带，该实践可用于估计正确检测不同幅度偏差的能力 4.1 因此，深入了解与该可接受公差带相关的真实偏差检测能力的局限性。有了这一见解，可以在期望的I型误差和期望的偏差检测能力之间进行权衡，以满足特定的业务需求。 4.3 本规程中描述的CS测试活动旨在增强而不是取代实践中描述的测试方法性能的常规统计监测 D6299 .

1.1 This practice covers a methodology for establishing an acceptable tolerance zone for the difference between a single result obtained for a Check Standard (CS) from a single implementation of a test method using a single measurement system at a laboratory versus its Accepted Reference Value (ARV), based on user-specified Type I error, the user-established measurement system precision for the execution of the test method, the standard error of the ARV, and a presumed hypothesis that the measurement system as operated by the laboratory in the execution of the test method is not biased. Note 1: Throughout this practice, the term “user” refers to the user of this practice, and the term “laboratory” (see 1.1 ) refers to the organization or entity that is performing the test method. 1.2 For the tolerance zone established in 1.1 , a methodology is presented to estimate the probability that the single test result will fall outside the zone, in the event that the presumed hypothesis is not true and there is a bias (positive or negative) of a user-specified magnitude that is deemed to be of practical concern. 1.3 This practice is intended for ASTM Committee D02 test methods that produce results on a continuous numerical scale. 1.4 This practice assumes that the normal (Gaussian) model is adequate for the description and prediction of measurement system behavior when it is in a state of statistical control. Note 2: While this practice does not cover scenarios in which multiple results are obtained on the same CS under site precision or repeatability conditions, the statistical concepts presented are applicable. Users wishing to apply these concepts for the scenarios described are advised to consult a statistician and to reference the CS methodology described in Practice D6299 . 1.5 This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee. ====== Significance And Use ====== 4.1 Laboratories performing petroleum test methods can use this practice to set an acceptable tolerance zone for infrequent testing of CS or CCS material, based on ε, and a desired Type I error, for the purpose of ascertaining if the test method is being performed without bias. 4.2 This practice can be used to estimate the power of correctly detecting bias of different magnitudes, given the acceptable tolerance zone set in 4.1 , and hence, gain insight into the limitation of the true bias detection capability associated with this acceptable tolerance zone. With this insight, trade-offs can be made between desired Type I error versus desired bias detection capability to suit specific business needs. 4.3 The CS testing activities described in this practice are intended to augment and not replace the regular statistical monitoring of test method performance as described in Practice D6299 .