Certified Quality Engineer (CQE) Practice Exam 2025 - Comprehensive All-in-One Study Guide for Exam Success!

To determine which set of data best exemplifies accuracy rather than precision, it is important to understand the concepts of accuracy and precision. Accuracy refers to how close a measured value is to the true or target value, while precision refers to how consistently the measurements can be repeated, regardless of their closeness to the true value.

In this case, the true value of the standard is 0.050. Set A includes the values 0.048, 0.051, 0.052, and 0.049. These measurements are all relatively close to the true value of 0.050, indicating a high level of accuracy. Although the values in this set may vary somewhat (which relates to precision), the fact that they cluster around the true value demonstrates that they are accurate.

This contrast becomes clearer when considering the other sets. For example, Set B includes values that are closer on average to the true value but also includes a measurement (0.047) that is significantly lower than the true value. Set C includes three measurements of 0.050, which indicates very high precision but does not show any variations, which might skew towards precision rather than accuracy. Set D, with values like 0.053 and high dispersion away