Skip to main content

Characterizing Probability Problems Posed in University Entrance Tests in Andalucia

  • Chapter
  • First Online:
Teaching and Learning Stochastics

Part of the book series: ICME-13 Monographs ((ICME13Mo))

Abstract

The compulsory university entrance tests in Andalucía (Spain), which traditionally include a probability problem, often determine whether the student is admitted to study in his or her desired university program. Consequently, it is important to ensure that the content of the test is directly related to the content included in the high school curriculum. The aim of this research was to investigate the distribution of the main variables characterizing the probability problems posed in these tests in Andalucía. Specifically, we examined all the problems posed to students in the period 2003–2014 (n = 144 problems). We considered the following variables: type of experiment and sample space considered, type of probability that should be computed, theorems or properties needed to find the solution, format of the data, and context. The results of the analysis reveal the potential difficulty of the problems, as well as the relevance given to conditional probability in the tests, in comparison to other curricular contents.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Batanero, C., & Borovcnik, M. (2016). Statistics and probability in high school. Rotterdam: Sense Publishers.

    Book  Google Scholar 

  • Böcherer-Linder, K., Eichler, A., & Vogel, M. (2015). Understanding conditional probability through visualization. In H. Oliveira, A. Henriques, A. P. Canavarro, C. Monteiro, C. Carvalho, J. P. Ponte, R. T. Ferreira, & S. Colaço (Eds.), Proceedings of the International Conference Turning data into knowledge: New opportunities for statistics education (pp. 14–23). Lisbon, Portugal: Instituto de Educação da Universidade de Lisboa.

    Google Scholar 

  • Batanero, C., Serrano, L., & Garfield, J. B. (1996). Heuristics and biases in secondary students’ reasoning about probability. In L. Puig, & A. Gutiérrez (Eds.), Proceedings of the 20th Conference of the International Group for the Psychology of Mathematics Education (Vol. 2, pp. 43-50). Valencia, Spain: PME group.

    Google Scholar 

  • Borovcnik, M. (2012). Multiple perspectives on the concept of conditional probability. Avances de Investigación en Educación Matemática, 2, 5–27.

    Google Scholar 

  • Contreras, J. M. (2011). Evaluación de conocimientos y recursos didácticos en la formación de profesores sobre probabilidad condicional (Assessing knowledge and didactic resources in training teachers to teach conditional probability). PhD dissertation. University of Granada, Spain.

    Google Scholar 

  • Contreras, J. M., López-Martín, M. M., Arteaga, P., & Carretero, M. (2015). Probability content in the entrance to university tests in Andalucía. In H. Oliveira, A. Henriques, A, Canavarro, C. Monteiro, C. Carvalho, J. P. Ponte, R. Ferreira, & S. Colaço (Eds.), Proceedings of the International Conference. Turning data into knowledge: New opportunities for statistics education (pp. 24–33). Lisbon: Instituto de Educaçao da Universidade de Lisboa.

    Google Scholar 

  • Díaz, C. (2004). Elaboración de un instrumento de evaluación del razonamiento condicional (Building an instrument to assess conditional probability reasoning). Master’s Thesis. University of Granada, Spain.

    Google Scholar 

  • Díaz, C., & Batanero, C. (2009). Students’ formal knowledge and biases in conditional probability reasoning. Do they improve with instruction? International Electronic Journal of Mathematics Education, 4(2), 131–162.

    Google Scholar 

  • Díaz, C., & de la Fuente, I. (2007). Assessing students’ difficulties with conditional probability and Bayesian reasoning. International Electronic Journal of Mathematics Education, 2(3), 128–148.

    Google Scholar 

  • Díaz, C., Batanero, C., & Contreras, J. M. (2010). Teaching independence and conditional probability. Boletín de Estadística e Investigación Operativa, 26(2), 149–162.

    Google Scholar 

  • Díaz, C., Contreras, J. M., Batanero, C., & Roa, R. (2012). Evaluación de sesgos en el razonamiento sobre probabilidad condicional en futuros profesores de educación secundaria (Assessing reasoning biases in conditional probability of prospective secondary school teachers). Bolema, 26(22), 1207–1226.

    Article  Google Scholar 

  • Drijvers, P. G., Godino, J. D., Godino, F. V., & Trouche, L. (2013). One episode, two lenses. A reflective analysis of student learning with computer algebra from instrumental and onto-semiotic perspectives. Educational Studies in Mathematics, 82, 23–49.

    Article  Google Scholar 

  • Falk, R. (1986). Conditional probabilities: Insights and difficulties. In R. Davidson & J. Swift (Eds.), Proceedings of the Second International Conference on Teaching Statistics (pp. 292–297). Victoria, Canada: International Statistical Institute.

    Google Scholar 

  • Franklin, C., Kader, G., Mewborn, D., Moreno, J., Peck, R., Perry, M., & Scheaffer, R. (2007). Guidelines for assessment and instruction in statistics education (GAISE) report: A Pre–K–12 curriculum framework. Alexandria, VA: American Statistical Association. http://www.amstat.org/Education/gaise/. Accessed 14 April 2017.

  • Gigerenzer, G. (1994). Why the distinction between single-event probabilities and frequencies is important for psychology (and vice-versa). In G. Wright & P. Ayton (Eds.), Subjective probability (pp. 129–161). Chichester: Wiley.

    Google Scholar 

  • Godino, J. D. (1996). Mathematical concepts, their meanings and understanding. In L. Puig & A. Gutiérrez (Eds.), Proceedings of the Twentieth Conference on the Psychology of Mathematics Education (Vol. 2, pp. 417–424). University of Valencia: PME Group.

    Google Scholar 

  • Godino, J. D., Batanero, C., & Font, V. (2007). The onto-semiotic approach to research in mathematics education. ZDM. The International Journal on Mathematics Education, 39(1–2), 127-135.

    Google Scholar 

  • Hoffrage, U., Gigerenzer, G., Krauss, S., & Martignon, L. (2002). Representation facilitates reasoning: What natural frequencies are and what they are not. Cognition, 84(3), 343–352.

    Article  Google Scholar 

  • Huerta, M. P. (2014). Researching conditional probability problem solving. In E. J. Chernoff & B. Sriraman (Eds.), Probabilistic thinking. Presenting multiple perspectives (pp. 613–639). New York: Springer.

    Google Scholar 

  • Krippendorff, K. (2013). Content analysis: An introduction to its methodology. London: Sage.

    Google Scholar 

  • Ministerio de Educación y Ciencia. (2007). Real Decreto 1467/2007, de 2 de noviembre, por el que se establece la estructura del Bachillerato y se fijan sus enseñanzas mínimas (Royal Decree establishing the structure and minimum content of the high school curriculum). Madrid: Author.

    Google Scholar 

  • Ministerio de Educación, Cultura y Deporte. (2015). Real Decreto 1105/2014, de 26 de diciembre, por el que se establece el currículo básico de la Educación Secundaria Obligatoria y del Bachillerato (Royal Decree establishing the basic curriculum of high school). Madrid: Autor.

    Google Scholar 

  • Ministerio de la Presidencia. (2008). Real Decreto 1892/2008, de 14 de noviembre, por el que se regula las condiciones para el acceso a las enseñanzas universitarias oficiales de grado y los procedimientos de admisión a las universidades públicas españolas (Royal Decree establishing the conditions and procedures of entrance to public universities). Madrid: Author.

    Google Scholar 

  • Organisation for Economic Co-operation and Development. (2015). PISA 2015. Assessment and analytical framework. Paris: Author.

    Google Scholar 

  • Ortiz, J. J. (2002). Significado de los conceptos probabilísticos elementales en los textos de Bachillerato (Meaning of elementary probabilistic concepts in high school textbooks). PhD dissertation. University of Granada, Spain.

    Google Scholar 

  • Pollatsek, A., Well, A. D., Konold, C., & Hardiman, P. (1987). Understanding conditional probabilities. Organization, Behavior and Human Decision Processes, 40, 255–269.

    Article  Google Scholar 

  • Tversky, A., & Kahneman, D. (1982). Judgements of and by representativeness. In D. Kahneman, P. Slovic, & A. Tversky (Eds.), Judgment under uncertainty: Heuristics and biases (pp. 84–98). New York: Cambridge University Press.

    Chapter  Google Scholar 

  • Wild, C. J., & Pfannkuch, M. (1999). Statistical thinking in empirical enquiry. International Statistical Review, 67(3), 223–265.

    Article  Google Scholar 

Download references

Acknowledgements

Research Projects EDU2016-74848-P (AEI, FEDER), and EDU2013-41141-P (MINECO), and Research Group FQM126 (Junta de Andalucía).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Carmen Batanero .

Editor information

Editors and Affiliations

Appendix: Examples of Problems

Appendix: Examples of Problems

Example 1

Consider two events A and B:

  1. (a)

    Describe, using set operations, the following events: (1) None of the two events happen; (2) At least one of the two events happen; (3) B happens and A does not happen.

  2. (b)

    Suppose it is known that P(A ) = 0.5, P(B) = 0.5, and P(A |B) = 0.3. Find P(A \( \cup \)B).

Example 2

55% of the Spanish population are women, 23% of which use travel to work by car. The probability that a person (either man or woman) travels by car to work is 0.52.

  1. (a)

    We select a man at random, what is the probability that this man travels to work by car?

  2. (b)

    We select a person at random and this person travels to work by car. Compute the probability that this person is a woman.

Example 3

Blanca and Alfredo write a vowel at random on different pieces of paper.

  1. (a)

    Determine the sample space in this experiment.

  2. (b)

    Find the probability that they write different vowels.

Example 4

There are only physics and mathematics books in a library and the books are written either in English or in Spanish. 70% of the books are physics books, 80% of the books are written in Spanish, and 10% of the books are mathematics books written in English.

  1. (a)

    What percentage of books are physics books written in Spanish?

  2. (b)

    We select a physics book at random, what is the probability that the book is written in Spanish?

Example 5

Consider the random experiment consisting of flipping a fair coin three times.

  1. (a)

    List the associated sample space and compute the probabilities of the elementary events.

  2. (b)

    Let A be the event : “obtain at least one head,” and let B be the event : “obtain a head in only one of three throws.” Calculate P(A ) and P(B). Are A and B independent?

Example 6

Two urns A and B contain coloured balls. Urn A contains 4 white balls and 3 red balls. Urn B contains 5 white balls, 2 red balls, and 1 black ball. A die is rolled. If the result is 1, 2, 3 or 4, a ball is randomly selected from urn A ; if the result is 5 or 6, a ball is randomly selected from urn B.

  1. (a)

    Find the probability of getting a red ball.

  2. (b)

    Find the probability of getting a black ball.

  3. (c)

    If a white ball was obtained, find the probability that a 5 or 6 was rolled on the die.

Example 7

  1. (a)

    Let A and B be two events from the same sample space . Suppose it is known that P(A ) = 0.5, P(B) = 0.4, and P(A  \( \cup \) B) = 0.8. Determine P(A |B).

  2. (b)

    C and D are two independent events from the same sample space . P(C) = 0.3 and P(D) = 0.8. Determine P(C \( \cup \) D).

Example 8

A student travels to school by bus on 80% of school days and travels by car the remaining days. When he travels by bus, he is late 20% of the time, but when he travels by car he is on time only 10% of the time. A day is selected at random.

  1. (a)

    Find the probability of arriving on time and travelling by bus.

  2. (b)

    Compute the probability of arriving late.

  3. (c)

    If the student arrived on time, compute the probability that he had travelled by bus.

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Batanero, C., López-Martín, M., Arteaga, P., Gea, M.M. (2018). Characterizing Probability Problems Posed in University Entrance Tests in Andalucia. In: Batanero, C., Chernoff, E. (eds) Teaching and Learning Stochastics. ICME-13 Monographs. Springer, Cham. https://doi.org/10.1007/978-3-319-72871-1_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-72871-1_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72870-4

  • Online ISBN: 978-3-319-72871-1

  • eBook Packages: EducationEducation (R0)

Publish with us

Policies and ethics