When assaying control materials, it is obvious that technologists will not achieve the mean value each and every time a control is analyzed. Although the mean is the value most likely to be observed, many of the actual values are different than the mean. The mean value characterizes the "central tendency" or "location" of the data. For example, given the following ten analyses of a control material - 90, 91, 89, 84, 88, 93, 80, 90, 85, 87 - the mean or Xbar is 877/10 or 87.7. Years ago, when laboratories were beginning to assay controls, it was easy to calculate a mean and use that value as the "target" to be achieved. The simplest statistic is the mean or average. The lesson sets up a pattern to be followed in future lessons. The importance of this current lesson, however, resides in the process. It is highly recommended that you study these lessons online or in hard copy. ![]() Many of the terms covered in this lesson are also found in the lessons on Basic QC Practices, which appear on this website. EdD Assistant ProfessorĬlinical Laboratory Science Program University of Louisville Do you know what they mean when they talk about mean? These are the bread and butter statistical calculations. ![]() Don't be caught in your skivvies when you talk about CV's, or confuse STD's with SD's.
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