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According to the precepts of Statistics Education, learning statistical content depends on the development of statistical literacy, reasoning, and thinking skills. In addition to this, we have developed research that shows that critical competence must be added to this role, since it has a strong connection with the idea of training students capable of exercising rights and duties inherent to citizenship, in addition to having common aspects with other skills. By adding critical competence, the foundations of Critical Statistics Education are built, in which the main pedagogical strategy is Mathematical Modelling. Our objective in this study is to show how Mathematical Modelling can act in the teaching / learning of Statistics as an inducer or facilitator of the development of the aforementioned competences. We analyze the modeling stages described by Burack (2004) and show the adherence of this strategy to the necessary requirements for the development of the four aforementioned competencies, thus showing its importance for Critical Statistics Education.

REFLEXIONES SOBRE LA IMPORTANCIA DE LA MODELACIÓN MATEMÁTICA COMO ESTRATEGIA INDUCTORA DE COMPETENCIAS ESTADÍSTICAS