What is it about?

Texts and teaching of Experimental Statistics emphasize the statistical analysis of experiments and superficially consider the conceptual basis of experimental research, formulating definitions in an imprecise, incoherent and ambiguous way. The paper reviews and reformulates important concepts with the purpose of contributing a rational basis for experimental research and, in particular, for Experimental Statistics.

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Why is it important?

The revised concepts provide a basis for the formulation of an experiment structure that provides appropriate inferences for the achievement of the objectives of the experiment.

Perspectives

The structure of the experiment should take into account that the units of the sample, as well as the units of the target population, are complex systems of numerous characteristics that interact dynamically in space and time. This complexity requires a complete and sufficiently detailed description of these characteristics according to their role in the causal relationship that is the object of the inferences, and the identification of the important ones involved in this relationship, and, particularly, the confounding of effects of experimental factors with effects of extraneous characteristics. Precise and unbiased inferences about causal relationships of characteristics can be achieved based on a conceptual framework that adequately considers this complexity and experimental control that reduces and makes unbiased this confounding and, consequently, guarantees the desirable precision and unbiasedness of these inferences.

Dr. Joao Gilberto Correa Correa da Silva
Universidade Federal de Pelotas

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This page is a summary of: Experiment: Conceptual Basis, Journal of Experimental Agriculture International, June 2020, Sciencedomain International,
DOI: 10.9734/jeai/2020/v42i630530.
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