Abstract
In agreement with the elements of the statistics education theoretical framework, as well as critical education, mathematical modelling allows the possibility of pedagogical projects that value interdisciplinarity and active participation of the student in knowledge construction. In this chapter, we present a scenario that occurred in the statistics discipline of an undergraduate course. We adopt Critical Education practices to discuss global warming, its causes and consequences for society.
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Notes
- 1.
Park test consists in making the following regression: ln u2 i = α + β.ln Xi + νi. If β turns out to be statistically significant, it would suggest that heteroscedasticity is present in the data (Gujarati 2004).
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Campos, C.R., Ferreira, D.H.L., Jacobini, O.R., Wodewotzki, M.L.L. (2015). Mathematical Modelling in the Teaching of Statistics in Undergraduate Courses. In: Stillman, G., Blum, W., Salett Biembengut, M. (eds) Mathematical Modelling in Education Research and Practice. International Perspectives on the Teaching and Learning of Mathematical Modelling. Springer, Cham. https://doi.org/10.1007/978-3-319-18272-8_42
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