Before the routine use of a new method, a validation study must be performed and repeated in various cases. In order for analytical methods to be valid, the necessary validity parameters (accuracy, precision, etc.) must be examined. Experimentally obtained data should be evaluated and experimental results should be interpreted in terms of validation and statistics. For this purpose, it will be provided that information that cannot be given at the undergraduate stage and that will guide and supplement the postgraduate student's work will be provided.

Definition of validation. In which cases validation should be done. Analytical method validation and criteria. Validation Parameters. System compliance tests. Errors and deviations. Discarding erroneous results. Rounding of Results. Statistical comparison of results. Confidence intervals. Obtaining calibration charts. Linear regression analysis. Evaluation of results. Examples