Level of reasoning in the understanding of statistical graphics in college students

Nivel de razonamiento en la comprensión de gráficos estadísticos en estudiantes universitarios

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Pastor Ramírez-Leal
César Augusto Hernández-Suárez
Raúl Prada-Núñez
Abstract

Background: The parameter chosen to identify the level of understanding of statistical graphs which college students have is the M3ST model (Middle School Students Statistical Thinking) proposed by Langrall and Mooney (2002). Objective: The research reported in this article has been aimed to identify the level of understanding of statistical graphs by students of the business administration program at the Francisco de Paula Santander University (UFPS). Methods: A questionnaire designed to evaluate two aspects of statistical thinking in graphs understanding, namely: description and data representation was applied to a sample of 111 students Results: The analysis of the results showed that most of the students are at the idiosyncratic level. Conclusion: This means that the group of students have difficulty distinguishing the elements of a graph, to establish relationships between the elements contained on it and to properly justify their answers.

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Author Biographies (SEE)

Pastor Ramírez-Leal, Universidad Francisco de Paula Santander

Magister en Educación Matemática.

César Augusto Hernández-Suárez, Universidad Francisco de Paula Santander

Magister en Educación Matemática

Raúl Prada-Núñez, Universidad Francisco de Paula Santander

Magister en Educación Matemática

References

J. P. Arteaga, C. Batanero, G. Cañadas, and J. M. Contreras. “Las tablas y gráficos estadísticos como objetos culturales”, Números, vol. 76, pp. 55–67, marzo 2011.

I. Cazorla. “A relação entre a habilidades viso-pictóricas e o dominio de conceitos estatísticos na leitura de gráficos”, Tesis doctoral inédita, Universidad Estatal de Campinas, Brasil, 2002.

C. Wild and M. Pfannkuch. “Statistical thinking in empirical enquiry”. International statistical review, vol. 67, no. 3, pp. 223-265, 1999.

S. N. Friel, G.W. Bright and F. Curcio. “Understanding Students Understanding of Graphs”, Mathematics Teaching in the Middle School, vol. 3, no. 3, pp. 224-227, 1997.

J. P. Arteaga, C. Batanero, J. Ortiz and J.M. Contreras. “Sentido numérico y gráficos estadísticos en la formación de profesores”. Publicaciones, no. 41, pp. 33-49, 2011.

J. D. Godino and C. Batanero, “Significado institucional y personal de los objetos matemáticos”, Recherches en Didactique des Mathématiques, vol. 14, no. 3, pp. 325-355, 1994.

J.P. Arteaga. “Evaluación de conocimientos sobre gráficos estadísticos y conocimientos didácticos de futuros profesores”, Tesis doctoral, Universidad de Granada, Granada, 2011. [En línea]. Disponible en: http://www.ugr.es/~batanero/pages/ARTICULOS/arteaga.pdf

J. M. Shaughnessy, J. Garfield and B. Greer. “Data Handling”. En A. Bishop et al. (Ed.), International Handbook of mathematics education. Dordrecht: kluwer, A. P., vol. 1, 1996, pp. 205-237.

C. W. Langrall and E. S. Mooney. “The development of a framework characterizing middle school student’s statistical thinking”. In B. Phillips (Ed), Proceedings of the sixth International conference on Teaching Statistics. Ciudad del Cabo, Sur Africa. 2002.

R. Monroy Santana. “Categorización de la comprensión de gráficas estadísticas en estudiantes de secundaria (12-15)”, REIEC, vol. 2, no. 2, 2007.

F. Curcio. “Comprehension of mathematical relationships expressed in graphs”, Journal for Research in Mathematics Education, vol. 18, no. 5, pp. 382-393, 1987.

S. Friel, F. Curcio, and G. Bright. “Making sense of graphs: critical factors influencing comprehension and instructional implications”. Journal for research in mathematics education, vol. 32, no. 2, pp. 124 158, 2001.

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