Quality of Analytical Measurements: Statistical Methods for Internal Validation

Abstract

Any aspect of the contemporary social activity is somehow supported in the analytical measurements. The cost of these measurements is high, but the cost of the decisions made based on incorrect results is much greater. For example, a test that wrongly shows the presence of a forbidden substance in a food destined for human consumption can result in an expensive claim. Thus, it is important to provide a correct result, but it is equally important to be able to prove that the result is correct. This article focuses on statistical evaluation of data in the context of validation of a method to show what information can, or cannot, be extracted from the experimental results.