MLT Introduction to Clinical Chemistry Practice Test

Distribution refers to how data values are spread across the data set, including where values cluster, how wide the spread is, and the overall shape (for example, whether it’s symmetric, skewed, or has multiple peaks). This term best captures the pattern of the data as a whole, which is exactly what “distribution” describes.

The other terms relate to quality-control materials or decision thresholds rather than the data pattern itself: assayed and unassayed controls are types of QC materials used to verify test performance, and control limits are the boundaries used on control charts to judge when a process may be out of spec. They do not describe how data values are distributed across the data set.