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Experimental Data Processing
Abstract
Conducting an experiment is related to providing certain experimental results, mostly numerical data. The chapter discusses the possibilities for adequate processing of such data, as well as the appropriate interpretation of results and assessments from the analysis conducted. In its main part, the processing of experimental data is based on conducted statistical analysis and graphical interpretation of the estimates. This defines the three main parts included in the chapter. In the first part, an approach is proposed for primary processing of experimental data (determination of definitional areas, individual criteria for evaluation, logical completeness of the evaluation and the need for preliminary filtering of the sample). The second part is dedicated to the basic processing of experimental data, where statistical approaches for this are discussed (basic statistics, correlation and regression analysis, logistic regression, variance analysis). In the last part, the basic methods are tabular and graphical interpretation of estimates from the analysis of experimental data.
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