MORE OF THE COMPUTING ENVIRONMENT R IN THE CUBAN EDUCATIONAL INVESTIGATION: CAN IT PREDICT THECUBA´S SAMPLE IN THE ERCE 2019?

Authors

Keywords:

educational investigation, computing environment R, theory of the sampling

Abstract

In this article, it will be given continuity to the analysis of the possibilities of the computing environment R of contributing to the improvement of the Cuban investigation in the educational field. In this second occasion, a real and effective scientific problem will be used: the estimate of an aleatory and representative sample of the country in the ERCE 2019. It is explained how to obtain one of complex character, in stratified way, after the manipulation of the initial database. It is also explained how to make statistical estimates from important measures to populational level, with their similar values in the extracted sample.

Author Biography

Paul Antonio Torres Fernández, Instituto Central de Ciencias Pedagógicas. La Habana, Cuba.

Coordinador Nacional por Cuba del Laboratorio Latinoamericano de Evaluación de la Calidad de la Educación (LLECE), de la OREALC-UNESCO.

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Published

2020-05-01

How to Cite

Torres Fernández, P. A. (2020). MORE OF THE COMPUTING ENVIRONMENT R IN THE CUBAN EDUCATIONAL INVESTIGATION: CAN IT PREDICT THECUBA´S SAMPLE IN THE ERCE 2019?. Pedagogical Sciences, 13(2), 84–91. Retrieved from https://www.cienciaspedagogicas.rimed.cu/index.php/ICCP/article/view/244

Issue

Vol. 13 No. 2 (2020)

Section

Pupila Reflexiva