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In this work we describe a contextual didactic approach using the software @risk, for teaching “sample distributions” in a Statistics course for engineers. Using the theory of semiotic functions, developed by Universidad de Granada in Spain, we characterize the meaning elements of the main properties of sample distributions. Then, using algebraic and simulation problems, we determine and evaluate the different errors and difficulties that emerge when the students simulate processes in Engineering. After considering the meaning elements obtained from the students’ answers, we propose simulation as a first approach towards the construction of the meaning for sample distributions for small and big samples, using intuitive forms by means of a graphic language via computer support, so as to analize with the students the algebraic form, depending on the nature of the random variables.

COMPRENSIÓN DE LAS DISTRIBUCIONES MUESTRALES EN UN CURSO DE ESTADÍSTICA PARA INGENIEROS